[Federal Register Volume 90, Number 82 (Wednesday, April 30, 2025)]
[Proposed Rules]
[Pages 18002-18491]
From the Federal Register Online via the Government Publishing Office [www.gpo.gov]
[FR Doc No: 2025-06271]



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Vol. 90

Wednesday,

No. 82

April 30, 2025

Part II





Department of Health and Human Services





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Centers for Medicare & Medicaid Services





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42 CFR Parts 412, 413, et al.





Medicare Program; Hospital Inpatient Prospective Payment Systems for 
Acute Care Hospitals and the Long-Term Care Hospital Prospective 
Payment System and Policy Changes and Fiscal Year 2026 Rates; 
Requirements for Quality Programs; and Other Policy Changes; Proposed 
Rule

Federal Register / Vol. 90 , No. 82 / Wednesday, April 30, 2025 / 
Proposed Rules

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DEPARTMENT OF HEALTH AND HUMAN SERVICES

Centers for Medicare & Medicaid Services

42 CFR Parts 412, 413, 495, and 512

[CMS-1833-P]
RIN 0938-AV45


Medicare Program; Hospital Inpatient Prospective Payment Systems 
for Acute Care Hospitals and the Long-Term Care Hospital Prospective 
Payment System and Policy Changes and Fiscal Year 2026 Rates; 
Requirements for Quality Programs; and Other Policy Changes

AGENCY: Centers for Medicare & Medicaid Services (CMS), Department of 
Health and Human Services (HHS).

ACTION: Proposed rule.

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SUMMARY: This proposed rule would revise the Medicare hospital 
inpatient prospective payment systems (IPPS) for operating and capital-
related costs of acute care hospitals; make changes relating to 
Medicare graduate medical education (GME) for teaching hospitals; 
update the payment policies and the annual payment rates for the 
Medicare prospective payment system (PPS) for inpatient hospital 
services provided by long-term care hospitals (LTCHs); update and make 
changes to requirements for certain quality programs; and make other 
policy-related changes.

DATES: To be assured consideration, comments must be received at one of 
the addresses provided in the ADDRESSES section, no later than 5 p.m. 
EDT on June 10, 2025.

ADDRESSES: In commenting, please refer to file code CMS-1833-P. Because 
of staff and resource limitations, we cannot accept comments by 
facsimile (FAX) transmission.
    Comments, including mass comment submissions, must be submitted in 
one of the following three ways (please choose only one of the ways 
listed):
    1. Electronically. You may (and we encourage you to) submit 
electronic comments on this regulation to https://www.regulations.gov. 
Follow the instructions under the ``submit a comment'' tab.
    2. By regular mail. You may mail written comments to the following 
address ONLY: Centers for Medicare & Medicaid Services, Department of 
Health and Human Services, Attention: CMS-1833-P, P.O. Box 8013, 
Baltimore, MD 21244-8013.
    Please allow sufficient time for mailed comments to be received 
before the close of the comment period.
    3. By express or overnight mail. You may send written comments via 
express or overnight mail to the following address ONLY: Centers for 
Medicare & Medicaid Services, Department of Health and Human Services, 
Attention: CMS-1833-P, Mail Stop C4-26-05, 7500 Security Boulevard, 
Baltimore, MD 21244-1850.
    For information on viewing public comments, we refer readers to the 
beginning of the SUPPLEMENTARY INFORMATION section.

FOR FURTHER INFORMATION CONTACT: 
    Donald Thompson, and Michele Hudson, (410) 786-4487 or 
[email protected], Operating Prospective Payment, MS-DRG Relative 
Weights, Wage Index, Hospital Geographic Reclassifications, Graduate 
Medical Education, Capital Prospective Payment, Excluded Hospitals, 
Medicare Disproportionate Share Hospital (DSH) Payment Adjustment, Sole 
Community Hospitals (SCHs), Medicare-Dependent Small Rural Hospital 
(MDH) Program, Low-Volume Hospital Payment Adjustment, and Inpatient 
Critical Access Hospital (CAH) Issues.
    Emily Lipkin, Jim Mildenberger and Hyeyoung Kim, [email protected], 
Long-Term Care Hospital Prospective Payment System and MS-LTC-DRG 
Relative Weights Issues.
    Lily Yuan, [email protected], New Technology Add-On Payments 
Issues.
    Mady Hue, [email protected], and Andrea Hazeley, 
[email protected], MS-DRG Classifications Issues.
    Radhika Puri, [email protected], Rural Community Hospital 
Demonstration Program Issues.
    Jeris Smith, [email protected], Frontier Community Health 
Integration Project (FCHIP) Demonstration Issues.
    Lang Le, [email protected], Hospital Readmissions Reduction 
Program--Administration Issues.
    Ngozi Uzokwe, [email protected], Hospital Readmissions 
Reduction Program--Measures Issues.
    Jennifer Tate, [email protected], Hospital-Acquired 
Condition Reduction Program--Administration Issues.
    Ngozi Uzokwe, [email protected], Hospital-Acquired Condition 
Reduction Program--Measures Issues.
    Julia Venanzi, [email protected], Hospital Inpatient 
Quality Reporting Program and Hospital Value-Based Purchasing Program--
Administration Issues.
    Melissa Hager, [email protected], and Ngozi Uzokwe, 
[email protected]--Hospital Inpatient Quality Reporting Program 
and Hospital Value-Based Purchasing Program--Measures Issues Except 
Hospital Consumer Assessment of Healthcare Providers and Systems 
Issues.
    Elizabeth Goldstein, [email protected], Hospital 
Inpatient Quality Reporting and Hospital Value-Based Purchasing--
Hospital Consumer Assessment of Healthcare Providers and Systems 
Measures Issues.
    Jennifer Tate, [email protected], PPS-Exempt Cancer 
Hospital Quality Reporting--Administration Issues.
    Kristina Rabarison, [email protected], PPS-Exempt 
Cancer Hospital Quality Reporting Program-Measure Issues.
    Ariel Cress, [email protected], Long-Term Care Hospital 
Quality Reporting Program--Administration Issues.
    Jessica Warren, [email protected], and Lisa Marie Gomez, 
[email protected], Medicare Promoting Interoperability 
Program.
    Bridget Dickensheets, [email protected] and Mollie 
Knight, [email protected], IPPS Market Basket Rebasing.
    [email protected], Transforming Episode Accountability Model 
(TEAM).

SUPPLEMENTARY INFORMATION: 
    Inspection of Public Comments: All comments received before the 
close of the comment period are available for viewing by the public, 
including any personally identifiable or confidential business 
information that is included in a comment. We post all comments 
received before the close of the comment period on the following 
website as soon as possible after they have been received: https://www.regulations.gov. Follow the search instructions on that website to 
view public comments. CMS will not post on Regulations.gov public 
comments that make threats to individuals or institutions or suggest 
that the commenter will take actions to harm an individual. CMS 
continues to encourage individuals not to submit duplicative comments. 
We will post acceptable comments from multiple unique commenters even 
if the content is identical or nearly identical to other comments.
    Plain Language Summary: In accordance with 5 U.S.C. 553(b)(4), a

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plain language summary of this proposed rule may be found at https://www.regulations.gov/.
    Deregulation Request for Information (RFI): On January 31, 2025, 
President Trump issued Executive Order (E.O.) 14192 ``Unleashing 
Prosperity Through Deregulation,'' which states the Administration 
policy to significantly reduce the private expenditures required to 
comply with Federal regulations to secure America's economic prosperity 
and national security and the highest possible quality of life for each 
citizen. We would like public input on approaches and opportunities to 
streamline regulations and reduce administrative burdens on providers, 
suppliers, beneficiaries, and other interested parties participating in 
the Medicare program. CMS has made available an RFI at https://www.cms.gov/medicare-regulatory-relief-rfi. Please submit all comments 
in response to this RFI through the provided weblink.

Tables Available on the CMS Website

    The IPPS tables for this fiscal year (FY) 2026 proposed rule are 
available on the CMS website at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html. Click on the link 
on the left side of the screen titled ``FY 2026 IPPS Proposed rule Home 
Page'' or ``Acute Inpatient--Files for Download.'' The LTCH PPS tables 
for this FY 2026 proposed rule are available on the CMS website at 
https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/LongTermCareHospitalPPS/index.html under the list item for Regulation 
Number CMS-1833-P. For further details on the contents of the tables 
referenced in this proposed rule, we refer readers to section VI. of 
the Addendum to this FY 2026 IPPS/LTCH PPS proposed rule.
    Readers who experience any problems accessing any of the tables 
that are posted on the CMS websites, as previously identified, should 
contact Michael Treitel, [email protected].

I. Executive Summary and Background

A. Executive Summary

1. Purpose and Legal Authority
    This FY 2026 IPPS/LTCH PPS proposed rule would make payment and 
policy changes under the Medicare inpatient prospective payment system 
(IPPS) for operating and capital-related costs of acute care hospitals 
as well as for certain hospitals and hospital units excluded from the 
IPPS. In addition, it would make payment and policy changes for 
inpatient hospital services provided by long-term care hospitals 
(LTCHs) under the long-term care hospital prospective payment system 
(LTCH PPS). This proposed rule also would make policy changes to 
programs associated with Medicare IPPS hospitals, IPPS-excluded 
hospitals, and LTCHs. We are also proposing changes relating to 
Medicare graduate medical education (GME) for teaching hospitals.
    We are proposing several changes across pay for performance 
programs. In the Hospital Value-Based Purchasing (VBP) Program, we are 
proposing modifications to the Hospital-Level Total Hip Arthroplasty/
Total Knee Arthroplasty (THA/TKA) Complications measure beginning with 
the FY 2033 program year. We are also providing notice of the technical 
update to the five National Healthcare Safety Network (NHSN) Healthcare 
Associated Infection (HAI) measures beginning with the FY 2028 program 
year, and the technical update to remove the COVID-19 exclusion from 
the six measures in the Clinical Outcomes domain beginning with the FY 
2027 program year. Lastly, we provide previously and newly established 
performance standards for the FY 2028 through FY 2031 program years for 
the Hospital VBP Program. In the Hospital Acquired-Conditions (HAC) 
Reduction Program, we are also providing notice of the technical update 
to the five Centers for Disease Control National Control (CDC) NHSN 
healthcare-associated infection (HAI) measures. In the Hospital 
Readmissions Reduction Program, we are proposing to add Medicare 
Advantage (MA) beneficiaries to the six Hospital Readmissions Reduction 
Program (HRRP) measures and make corresponding administrative updates.
    In the PPS-Exempt Cancer Hospital Quality Reporting Program 
(PCHQR), we are proposing to modify the public reporting requirements 
and remove three existing measures.
    In the Hospital Inpatient Quality Reporting (IQR) Program, we are 
proposing to modify four existing quality measures and remove four 
existing measures.
    We also are proposing to update and codify the Extraordinary 
Circumstances Exception (ECE) policy to clarify that CMS has the 
discretion to grant an extension in response to an ECE request from a 
hospital in the Hospital IQR, Hospital Readmissions Reduction, PCHQR, 
HAC Reduction, and Hospital VBP Programs.
    In the Medicare Promoting Interoperability Program, we are 
proposing to define the electronic health record (EHR) reporting period 
in CY 2026 and subsequent years as a minimum of any continuous 180-day 
period within that calendar year for eligible hospitals and CAHs 
participating in the Medicare Promoting Interoperability Program and to 
make corresponding revisions at 42 CFR 495.4. We are proposing to 
modify the Security Risk Analysis measure beginning with the EHR 
reporting period in CY 2026. We are proposing to modify the Safety 
Assurance Factors for EHR Resilience (SAFER) Guides measure beginning 
with the EHR reporting period in CY 2026. We are proposing to add an 
optional bonus measure under the Public Health and Clinical Data 
Exchange objective for reporting data to a public health agency (PHA) 
using the Trusted Exchange Framework and Common Agreement (TEFCA) 
beginning with the EHR reporting period in CY 2026.
    In the LTCH Quality Reporting Program (QRP), we are proposing to 
remove one item from the LTCH Continuity Assessment Record and 
Evaluation (CARE) Data Set (LCDS) with respect to patients who have 
expired in the LTCH. We are also proposing to remove four Social 
Determinant of Health (SDOH) standardized patient assessment data 
elements from the LCDS. Next, we are proposing to amend the 
reconsideration request process in the LTCH QRP. Finally, we include 
Requests for Information (RFIs) on: (1) future measure concepts for the 
LTCH QRP; (2) revisions to the data submission deadlines for assessment 
data collected for the LTCH QRP; and (3) advancing digital quality 
measurement (dQM) in the LTCH QRP.
    The Transforming Episode Accountability Model (TEAM), a mandatory 
alternative payment model that was finalized in the FY 2025 IPPS/LTCH 
PPS final rule (89 FR 68986), aims to improve beneficiary care through 
financial accountability for episodes categories that begin with one of 
the following procedures: coronary artery bypass graft (CABG), lower 
extremity joint replacement (LEJR), major bowel procedure, surgical 
hip/femur fracture treatment (SHFFT), and spinal fusion. TEAM will test 
whether financial accountability for these episode categories reduces 
Medicare expenditures while preserving or enhancing the quality of care 
for Medicare beneficiaries. In this proposed rule, we are proposing 
updates to TEAM that would modify policies affecting participation of 
new hospitals, quality measure and assessment, the construction of 
target prices, the removal of certain health reporting elements, the 
expansion of the Skilled

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Nursing Facility (SNF) 3-Day Rule, and the removal of the 
Decarbonization and Resilience Initiative (DRI). Additionally, the 
policies in this proposed rule reflect our commitment to ensuring 
TEAM's incentives help to drive beneficiary quality of care 
improvements and reductions in Medicare spending.
    Under various statutory authorities, we either discuss continued 
program implementation or propose to make changes to the Medicare IPPS, 
the LTCH PPS, other related payment methodologies and programs for FY 
2026 and subsequent fiscal years, and other policies and provisions 
included in this proposed rule. These statutory authorities include, 
but are not limited to, the following:
     Section 1886(d) of the Social Security Act (the Act), 
which sets forth a system of payment for the operating costs of acute 
care hospital inpatient stays under Medicare Part A (Hospital 
Insurance) based on prospectively set rates. Section 1886(g) of the Act 
requires that, instead of paying for capital-related costs of inpatient 
hospital services on a reasonable cost basis, the Secretary use a 
prospective payment system (PPS).
     Section 1886(d)(1)(B) of the Act, which specifies that 
certain hospitals and hospital units are excluded from the IPPS. These 
hospitals and units are: rehabilitation hospitals and units; LTCHs; 
psychiatric hospitals and units; children's hospitals; cancer 
hospitals; extended neoplastic disease care hospitals; and hospitals 
located outside the 50 States, the District of Columbia, and Puerto 
Rico (that is, hospitals located in the U.S. Virgin Islands, Guam, the 
Northern Mariana Islands, and American Samoa). Religious nonmedical 
health care institutions (RNHCIs) are also excluded from the IPPS.
     Sections 123(a) and (c) of the Balanced Budget Refinement 
Act of 1999 (BBRA) (Public Law (Pub. L.) 106-113) and section 307(b)(1) 
of the Benefits Improvement and Protection Act of 2000 (BIPA) (Pub. L. 
106-554) (as codified under section 1886(m)(1) of the Act), which 
provide for the development and implementation of a prospective payment 
system for payment for inpatient hospital services of LTCHs described 
in section 1886(d)(1)(B)(iv) of the Act.
     Section 1814(l)(4) of the Act requires, beginning with FY 
2015, that CAHs that do not successfully demonstrate meaningful use of 
certified electronic health record technology (CEHRT) for an EHR 
reporting period for a cost reporting period shall be paid 100 percent 
of reasonable costs rather than 101 percent of reasonable costs.
     Section 1886(a)(4) of the Act, which specifies that costs 
of approved educational activities are excluded from the operating 
costs of inpatient hospital services. Hospitals with approved graduate 
medical education (GME) programs are paid for the direct costs of GME 
in accordance with section 1886(h) of the Act. Hospitals paid under the 
IPPS with approved GME programs are paid for the indirect costs of 
training residents in accordance with section 1886(d)(5)(B) of the Act.
     Section 1886(d)(5)(F) of the Act provides for additional 
Medicare IPPS payments to subsection (d) hospitals that serve a 
significantly disproportionate number of low-income patients. These 
payments are known as the Medicare disproportionate share hospital 
(DSH) adjustment. Section 1886(d)(5)(F) of the Act specifies the 
methods under which a hospital may qualify for the DSH payment 
adjustment.
     Section 1886(b)(3)(B)(viii) of the Act, which requires the 
Secretary to reduce the applicable percentage increase that would 
otherwise apply to the standardized amount applicable to a subsection 
(d) hospital for discharges occurring in a fiscal year if the hospital 
does not submit data on measures in a form and manner, and at a time, 
specified by the Secretary.
     Section 1886(b)(3)(B)(ix) of the Act, which requires 
downward adjustments to the applicable percentage increase, beginning 
with FY 2015 (and beginning with FY 2022 for subsection (d) Puerto Rico 
hospitals), for eligible hospitals that do not successfully demonstrate 
meaningful use of CEHRT for an EHR reporting period for a payment 
adjustment year.
     Section 1866(k) of the Act, which provides for the 
establishment of a quality reporting program for hospitals described in 
section 1886(d)(1)(B)(v) of the Act, referred to as ``PPS-exempt cancer 
hospitals.''
     Section 1886(n) of the Act, which establishes the 
requirements for an eligible hospital to be treated as a meaningful EHR 
user for an EHR reporting period for a payment year or, for purposes of 
subsection (b)(3)(B)(ix) of the Act, for a fiscal year.
     Section 1886(o) of the Act, which requires the Secretary 
to establish a Hospital Value-Based Purchasing (VBP) Program, under 
which value-based incentive payments are made in a fiscal year to 
hospitals based on their performance on measures established for a 
performance period for such fiscal year.
     Section 1886(p) of the Act, which establishes a Hospital-
Acquired Condition (HAC) Reduction Program, under which payments to 
applicable hospitals are adjusted to provide an incentive to reduce 
hospital-acquired conditions.
     Section 1886(q) of the Act, as amended by section 15002 of 
the 21st Century Cures Act, which establishes the Hospital Readmissions 
Reduction Program. Under the program, payments for discharges from an 
applicable hospital as defined under section 1886(d) of the Act will be 
reduced to account for certain excess readmissions. Section 15002 of 
the 21st Century Cures Act directs the Secretary to compare hospitals 
with respect to the number of their Medicare-Medicaid dual-eligible 
beneficiaries in determining the extent of excess readmissions.
     Section 1886(r) of the Act, as added by section 3133 of 
the Affordable Care Act, which provides for a reduction to 
disproportionate share hospital (DSH) payments under section 
1886(d)(5)(F) of the Act and for an additional uncompensated care 
payment to eligible hospitals. Specifically, section 1886(r) of the Act 
requires that, for fiscal year 2014 and each subsequent fiscal year, 
subsection (d) hospitals that would otherwise receive a DSH payment 
made under section 1886(d)(5)(F) of the Act will receive two separate 
payments: (1) 25 percent of the amount they previously would have 
received under the statutory formula for Medicare DSH payments in 
section 1886(d)(5)(F) of the Act if subsection (r) did not apply (``the 
empirically justified amount''), and (2) an additional payment for the 
DSH hospital's proportion of uncompensated care, determined as the 
product of three factors. These three factors are: (1) 75 percent of 
the payments that would otherwise be made under section 1886(d)(5)(F) 
of the Act, in the absence of section 1886(r) of the Act; (2) 1 minus 
the percent change in the percent of individuals who are uninsured; and 
(3) the hospital's uncompensated care amount relative to the 
uncompensated care amount of all DSH hospitals expressed as a 
percentage.
     Section 1886(m)(5) of the Act, which requires the 
Secretary to reduce by 2 percentage points the annual update to the 
standard Federal rate for discharges for a long-term care hospital 
(LTCH) during the rate year for LTCHs that do not submit data on 
quality measures in the form, manner, and at a time, specified by the 
Secretary.
     Section 1886(m)(6) of the Act, as added by section 
1206(a)(1) of the Pathway for Sustainable Growth Rate (SGR) Reform Act 
of 2013 (Pub. L. 113-67) and amended by section 51005(a) of the 
Bipartisan Budget Act of 2018 (Pub.

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L. 115-123), which provided for the establishment of site neutral 
payment rate criteria under the LTCH PPS, with implementation beginning 
in FY 2016. Section 51005(b) of the Bipartisan Budget Act of 2018 
amended section 1886(m)(6)(B) by adding new clause (iv), which 
specifies that the IPPS comparable amount defined in clause (ii)(I) 
shall be reduced by 4.6 percent for FYs 2018 through 2026.
     Section 1899B of the Act, which provides for the 
establishment of standardized data reporting for certain post-acute 
care providers, including LTCHs.
     Section 1115A of the Act authorizes the testing of 
innovative payment and service delivery models that preserve or enhance 
the quality of care furnished to Medicare, Medicaid, and Children's 
Health Insurance Program (CHIP) beneficiaries while reducing program 
expenditures.
2. Summary of the Major Provisions
    The following is a summary of the major provisions in this proposed 
rule. In general, these major provisions are being proposed as part of 
the annual update to the payment policies and payment rates, consistent 
with the applicable statutory provisions. A general summary of the 
changes in this proposed rule is presented in section I.D. of the 
preamble of this proposed rule.
a. Proposed Transition for the Discontinuation of the Low Wage Index 
Hospital Policy
    To help mitigate growing wage index disparities between high wage 
and low wage hospitals, in the FY 2020 IPPS/LTCH PPS rule (84 FR 42326 
through 42332), we adopted a policy to increase the wage index values 
for certain hospitals with low wage index values (the low wage index 
hospital policy). This policy was adopted in a budget neutral manner 
through an adjustment applied to the standardized amounts for all 
hospitals. We indicated our intention that this policy would be 
effective for at least 4 years, beginning in FY 2020, in order to allow 
employee compensation increases implemented by these hospitals 
sufficient time to be reflected in the wage index calculation. We also 
stated we intended to revisit the issue of the duration of this policy 
in future rulemaking as we gained experience under the policy. In the 
FY 2025 IPPS/LTCH PPS final rule (89 FR 69301 through 69308), we 
adopted an extension of the low wage index hospital policy and the 
related budget neutrality adjustment effective for at least three more 
years, beginning in FY 2025, in order for sufficient wage data from 
after the end of the COVID-19 Public Health Emergency to become 
available.
    As discussed in section III.F.5. of the preamble of this proposed 
rule, on July 23, 2024, the Court of Appeals for the D.C. Circuit held 
that the Secretary lacked authority under section 1886(d)(3)(E) of the 
Act or under the ``adjustments'' language of section 1886(d)(5)(I)(i) 
of the Act to adopt the low wage index hospital policy for FY 2020, and 
that the policy and related budget neutrality adjustment must be 
vacated. Bridgeport Hosp. v. Becerra, 108 F.4th 882, 887-91 & n.6 (D.C. 
Cir. 2024). After considering the D.C. Circuit's decision in Bridgeport 
Hosp. v. Becerra, in the FY 2025 IFC (89 FR 80405 through 80421), we 
recalculated the FY 2025 IPPS hospital wage index to remove the low 
wage index hospital policy for FY 2025. We also removed the low wage 
index budget neutrality factor from the FY 2025 standardized amounts. 
In addition, we established an interim transition policy for hospitals 
significantly impacted by the removal of the FY 2025 low wage index 
hospital policy using our authority under section 1886(d)(5)(I) of the 
Act.
    For FY 2026 and subsequent fiscal years, after considering the D.C. 
Circuit's decision in Bridgeport Hosp. v. Becerra, we are proposing to 
discontinue the low wage index hospital policy and would no longer 
apply a low wage index budget neutrality factor to the standardized 
amounts. As discussed in section III.F.7. of the preamble of this 
proposed rule, we are proposing to use our authority under section 
1886(d)(5)(I)(i) of the Act to adopt a narrow transitional exception to 
the calculation of FY 2026 IPPS payments for low wage index hospitals 
significantly impacted by the discontinuation of the low wage index 
hospital policy, that would be implemented in a budget neutral manner. 
This proposed transitional exception policy would apply to hospitals 
that benefitted from the FY 2024 low wage index hospital policy and 
would compare the hospital's proposed FY 2026 wage index to the 
hospital's FY 2024 wage index. If the hospital's proposed FY 2026 wage 
index is decreasing by more than 9.75 percent from the hospital's FY 
2024 wage index, then the proposed transitional payment exception for 
FY 2026 for that hospital would be equal to the additional FY 2026 
amount the hospital would be paid under the IPPS if its FY 2026 wage 
index were equal to 90.25 percent of its FY 2024 wage index. We 
proposed to make this policy budget neutral through an adjustment 
applied to the standardized amounts for all hospitals.
b. Proposed Update to the IPPS Labor-Related Share
    As discussed in section IV. of the preamble of this proposed rule, 
we are proposing to rebase and revise the 2018-based IPPS market basket 
to reflect a 2023 base year. In addition, using the cost category 
weights from the proposed 2023-based IPPS market basket, we calculated 
a labor-related share of 66.0 percent, which we are proposing to use 
for discharges occurring on or after October 1, 2025. The proposed 
labor-related share of 66.0 percent is 1.6 percentage points lower than 
the current labor-related share of 67.6 percent. As discussed in 
section IVB.3. of the preamble of this proposed rule, this downward 
revision to the labor-related share is primarily the result of 
incorporating the more recent 2023 Medicare cost report data for Wages 
and Salaries, Employee Benefits, and Contract Labor costs. This is 
partially offset by an increase in the Professional Fees: Labor-Related 
cost weight.
c. Hospital Readmission Reduction Program
    We are proposing to make changes to policies for the Hospital 
Readmissions Reduction Program, which was established under section 
1886(q) of the Act, as amended by section 15002 of the 21st Century 
Cures Act. The Hospital Readmissions Reduction Program requires a 
reduction to a hospital's base operating DRG payment to account for 
excess readmissions of selected applicable conditions. In this FY 2026 
IPPS/LTCH PPS proposed rule, we are proposing the following policies: 
(1) Refine all six readmission measures to add Medicare Advantage 
patient cohort data; (2) remove the COVID-19 diagnosed patients measure 
denominator exclusion from the all six readmission measures, beginning 
with the FY 2026 program year; (3) reduce the applicable period from 3-
years to 2-years and update codified regulation language; (4) modify 
the diagnosis-related group (DRG) payment ratios in the payment 
adjustment formula to include MA beneficiaries; and (5) update and 
codify the ECE policy to clarify that CMS has the discretion to grant 
an extension in response to an ECE request from a hospital.
d. Hospital Acquired Condition (HAC) Reduction Program
    Section 1886(p) of the Act establishes the HAC Reduction Program 
under which payments to applicable hospitals are adjusted to provide an 
incentive to

[[Page 18006]]

reduce hospital-acquired conditions. In this FY 2026 IPPS/LTCH PPS 
proposed rule, we are making a technical update to the NHSN Healthcare 
Associated Infection (HAI) measures baseline. We are also proposing to 
update and codify the ECE policy to clarify that CMS has the discretion 
to grant an extension in response to an ECE request from a hospital.
e. Hospital Value-Based Purchasing (VBP) Program
    Section 1886(o) of the Act requires the Secretary to establish a 
Hospital VBP Program under which value-based incentive payments are 
made in a fiscal year to hospitals based on their performance on 
measures established for a performance period for such fiscal year. In 
this FY 2026 IPPS/LTCH PPS proposed rule, we are proposing 
modifications to the THA/TKA Complications measure beginning with the 
FY 2033 program year. We are also providing notice of the technical 
update to remove the COVID-19 exclusion from the six measures in the 
Clinical Outcomes domain beginning with the FY 2027 program year and 
the technical update to the five NHSN Healthcare Associated Infection 
(HAI) measures beginning with the FY 2028 program year. We also are 
proposing to update and codify the ECE policy to clarify that CMS has 
the discretion to grant an extension in response to an ECE request from 
a hospital. We are also proposing to remove the Program's Health Equity 
Adjustment. Lastly, we provide previously and newly established 
performance standards for the FY 2028 through FY 2031 program years for 
the Hospital VBP Program.
e. Hospital Inpatient Quality Reporting (IQR) Program
    Under section 1886(b)(3)(B)(viii) of the Act, subsection (d) 
hospitals are required to report data on measures selected by the 
Secretary for a fiscal year in order to receive the full annual 
percentage increase. In this FY 2026 IPPS/LTCH PPS proposed rule, we 
are proposing several changes to the Hospital IQR Program. We are 
proposing refinements to four measures currently in the Hospital IQR 
Program measure set: (1) Hospital-Level, Risk-Standardized Complication 
Rate (RSCR) Following Elective Primary Total Hip Arthroplasty (THA) 
and/or Total Knee Arthroplasty (TKA) beginning with the April 1, 2023-
March 30, 2025 Reporting Period/2027 Payment Determination; (2) 
Hospital 30-Day, All-Cause, Risk-Standardized Mortality Rate (RSMR) 
Following Acute Ischemic Stroke Hospitalization with Claims-Based Risk 
Adjustment for Stroke Severity beginning with the July 1, 2023-June 30, 
2025 Reporting Period/2027 Payment Determination; (3) the Hybrid 
Hospital-Wide Readmission (HWR) measure beginning with the July 1, 
2025, through June 30, 2026 Reporting Period/FY 2028 Payment 
Determination; and (4) the Hybrid Hospital-Wide All-Cause Risk 
Standardized Mortality (HWM) measure beginning with the July 1, 2025, 
through June 30, 2026 Reporting Period/FY 2028 Payment Determination. 
We are also proposing to remove four measures: (1) the Hospital 
Commitment to Health Equity measure beginning with the CY 2024 
reporting period/FY 2026 payment determination; (2) the COVID-19 
Vaccination Coverage among HCP measure beginning with the CY 2024 
reporting period/FY 2026 payment determination; (3) the Screening for 
Social Drivers of Health measure beginning with the CY 2024 reporting 
period/FY 2026 payment determination; and (4) the Screen Positive Rate 
for Social Drivers of Health measure beginning with the CY 2024 
reporting period/FY 2026 payment determination. We are proposing to 
update and codify the ECE policy to clarify that CMS has the discretion 
to grant an extension in response to an ECE request from a hospital. 
Additionally, we seek comments regarding measure concepts related to 
well-being and nutrition for future consideration. We also seek 
comments on the path forward for digital quality measurement and use of 
Fast Healthcare Interoperability Resources (FHIR).
f. PPS-Exempt Cancer Hospital Quality Reporting (PCHQR) Program
    Section 1866(k)(1) of the Act requires, for purposes of FY 2014 and 
each subsequent fiscal year, that a hospital described in section 
1886(d)(1)(B)(v) of the Act (a PPS-exempt cancer hospital, or a PCH) 
submit data in accordance with section 1866(k)(2) of the Act with 
respect to such fiscal year. In the FY 2026 IPPS/LTCH PPS proposed 
rule, we are proposing to publicly report PCH data on both the Provider 
Data Catalog and on Care Compare and to make corresponding changes to 
regulatory text to replace references to ``Provider Data Catalog'' with 
``CMS website''. We are also proposing to remove the (1) Hospital 
Commitment to Health Equity, (2) the Screening for Social Drivers of 
Health measure; and (3) the Screen Positive Rate for Social Drivers of 
Health measure beginning with the CY 2024 reporting period/FY 2026 
payment determination. Lastly, we are proposing to update and codify 
the ECE policy to clarify that CMS has the discretion to grant an 
extension in response to an ECE request from a hospital.
g. Long-Term Care Hospital Quality Reporting Program (LTCH QRP)
    In the LTCH QRP, we are proposing to remove five items from the 
LCDS. We are also proposing to amend the reconsideration request 
process in the LTCH QRP. Finally, we include Requests for Information 
(RFIs) on: (1) future measure concepts for the LTCH QRP; (2) revisions 
to the data submission deadlines for assessment data collected for the 
LTCH QRP; and (3) advancing digital quality measurement (dQM) in the 
LTCH QRP.
h. Medicare Promoting Interoperability Program
    Under sections 1886(b)(3)(B)(ix) and 1814(l)(4) of the Act, 
respectively, eligible hospitals and CAHs are required to submit data 
in accordance with section 1886(n) to successfully demonstrate 
meaningful use of CEHRT for an EHR reporting period to avoid a downward 
payment adjustment under Medicare for the associated fiscal year. We 
are proposing several changes to the Medicare Promoting 
Interoperability Program. Specifically, we are proposing: (1) to amend 
the definition of ``EHR reporting period for a payment adjustment 
year'' at 42 CFR 495.4 for eligible hospitals and CAHs participating in 
the Medicare Promoting Interoperability Program to define the EHR 
reporting period in CY 2026 and subsequent years as a minimum of any 
continuous 180-day period within that calendar year; (2) to modify the 
Security Risk Analysis measure to require eligible hospitals and CAHs 
to attest ``yes'' to having conducted security risk management in 
addition to the existing measure requirement to attest ``yes'' to 
having conducted security risk analysis, beginning with the EHR 
reporting period in CY 2026; (3) to modify the SAFER Guides measure by 
requiring eligible hospitals and CAHs to attest ``yes'' to completing 
an annual self-assessment using the eight SAFER Guides published in 
January 2025, beginning with the EHR reporting period in CY 2026; and 
(4) to add an optional bonus measure to the Public Health and Clinical 
Data Exchange objective for eligible hospitals and CAHs that submit 
health information to a public health agency (PHA) using the Trusted 
Exchange Framework and Common Agreement\TM\ (TEFCA), and consistent 
with other measure requirements, beginning with the EHR reporting 
period in CY 2026.

[[Page 18007]]

i. Transforming Episode Accountability Model (TEAM)
    In section XI.A. of the preamble of this proposed rule, we propose 
changes to the Transforming Episode Accountability Model (TEAM). TEAM 
is a 5-year mandatory model that will be tested under the authority of 
section 1115A of the Act, beginning on January 1, 2026, and ending on 
December 31, 2030. We are proposing changes to multiple areas of the 
model, including: (1) a limited deferment period for certain hospitals; 
(2) addressing the expiration of the Medicare Dependent Hospital 
program; (3) adding the Information Transfer Patient Reported Outcome-
based Performance Measure (Information Transfer PRO-PM); (4) applying a 
neutral quality measure score for TEAM participants with insufficient 
quality data; (5) a methodology to construct target prices when there 
are coding changes; (6) reconstructing the normalization factor and 
prospective trend factor; (7) replacing the Area Deprivation Index 
(ADI) with the Community Deprivation Index (CDI); (8) using a 180-day 
lookback period and Hierarchical Condition Categories (HCC) version 28 
for beneficiary risk adjustment; (9) aligning the date range used for 
episode attribution; (10) removing health equity plans and health 
related social needs data reporting; (11) expanding the Skilled Nursing 
Facility (SNF) 3-day rule waiver; and (12) removing the Decarbonization 
and Resilience Initiative (DRI).
3. Summary of Costs and Benefits
    The following table provides a summary of the costs, savings, and 
benefits associated with the major provisions described in section 
I.A.2. of the preamble of this proposed rule.

------------------------------------------------------------------------
                               Description of costs, transfers, savings,
    Provision description                     and benefits
------------------------------------------------------------------------
Proposed Transition for the    As discussed in section III.F.7. of the
 Discontinuation of the Low     preamble of this proposed rule, we are
 Wage Index Hospital Policy.    proposing to use our authority under
                                section 1886(d)(5)(I)(i) of the Act to
                                adopt a narrow transitional exception to
                                the calculation of FY 2026 IPPS payments
                                for low wage index hospitals
                                significantly impacted by the
                                discontinuation of the low wage index
                                hospital policy, that would be
                                implemented in a budget neutral manner.
                                We proposed to make this policy budget
                                neutral through an adjustment applied to
                                the standardized amounts for all
                                hospitals.
Proposed Update to the IPPS    As discussed in section IV. of the
 Labor-Related Share.           preamble of this proposed rule, we are
                                proposing to rebase and revise the 2018-
                                based IPPS market basket to reflect a
                                2023 base year. In addition, using the
                                cost category weights from the proposed
                                2023-based IPPS market basket, we
                                calculated a labor-related share of 66.0
                                percent, which we are proposing to use
                                for discharges occurring on or after
                                October 1, 2025. The proposed labor-
                                related share of 66.0 percent is 1.6
                                percentage points lower than the current
                                labor-related share of 67.6 percent.
                                This proposed change is budget neutral.
Proposed Update to the IPPS    As discussed in Appendix A of this
 Payment Rates and Other        proposed rule, acute care hospitals are
 Payment Policies.              estimated to experience an increase of
                                approximately $4.0 billion in FY 2026,
                                primarily driven by the changes in FY
                                2026 operating payments, uncompensated
                                care payments, and capital payments and
                                the expiration of the temporary changes
                                in the low-volume hospital program and
                                the expiration of the MDH program on
                                October 1, 2025.
Proposed Update to the LTCH    As discussed in Appendix A of this
 PPS Payment Rates and Other    proposed rule, based on the best
 Payment Policies.              available data for the 328 LTCHs in our
                                database, we estimate that the proposed
                                changes to the payment rates and factors
                                that we present in the preamble of and
                                Addendum of this proposed rule, which
                                reflect the proposed update to the LTCH
                                PPS standard Federal payment rate for FY
                                2026, would result in an estimated
                                increase in payments in FY 2026 of
                                approximately $61 million.
Changes to the Hospital        We estimated that our changes for the
 Readmission Reduction          Hospital Readmissions Reduction Program
 Program.                       will result in no financial impact for
                                the FY 2027 payment determination or
                                subsequent years.
Changes to the Value-Based     We estimated that there will be no net
 Incentive Payments under the   financial impact to the Hospital VBP
 Hospital VBP Program.          Program for the FY 2026 program year in
                                the aggregate because, by law, the
                                amount available for value-based
                                incentive payments under the program in
                                a given year must be equal to the total
                                amount of base operating MS-DRG payment
                                amount reductions for that year, as
                                estimated by the Secretary. The
                                estimated amount of base operating MS-
                                DRG payment amount reductions for the FY
                                2026 program year and, therefore, the
                                estimated amount available for value-
                                based incentive payments for FY 2026
                                discharges is approximately $1.7
                                billion.
Proposed Changes to the HAC    We estimated that our changes for the HAC
 Reduction Program.             Reduction Program will result in no
                                financial impact for the FY 2027 payment
                                determination or subsequent years.
Changes to the Hospital IQR    Across 3,050 IPPS hospitals, we estimated
 Program.                       that our changes for the Hospital IQR
                                Program will result in a maximum
                                decrease of 660,577 hours and
                                $18,008,959 to the information
                                collection burden for the FY 2026
                                payment determination or subsequent
                                years.
Proposed Changes to the PCHQR  Across 11 PCHs, we estimated that our
 Program.                       changes for the PCHQR Program will
                                result in a maximum decrease of 153
                                hours and $7,765 to the information
                                collection burden for the FY 2026
                                program year or subsequent years.
Changes to the LTCH QRP......  Across 330 LTCHs, we estimated that our
                                proposed changes for the FY 2026 LTCH
                                QRP would result in a total information
                                collection burden increase of 4 hours
                                and $187.60 associated with updates to
                                our reconsideration policy. We estimated
                                that our proposed changes for the FY
                                2028 LTCH QRP would result in a decrease
                                of 2,633.51 hours associated with our
                                policies and updated burden estimates
                                and a total cost decrease of
                                approximately $180,016.80.
Changes to the Medicare        Across 4,550 eligible hospitals and CAHs,
 Promoting Interoperability     we estimated that our changes for the
 Program.                       Medicare Promoting Interoperability
                                Program will not result in a change to
                                the information collection burden for
                                the EHR reporting period in CY 2026 and
                                subsequent years.
Transforming Episode           We estimate for the TEAM proposals
 Accountability Model (TEAM).   included in this proposed rule that
                                there would be no significant change
                                from the savings estimate in the FY 2025
                                IPPS/LTCH PPS final rule. Therefore, we
                                estimate testing TEAM would result in
                                saving the Medicare program $481 million
                                across the 5 performance years.
------------------------------------------------------------------------

B. Background Summary

1. Acute Care Hospital Inpatient Prospective Payment System (IPPS)
    Section 1886(d) of the Act sets forth a system of payment for the 
operating costs of acute care hospital inpatient stays under Medicare 
Part A (Hospital Insurance) based on prospectively set rates. Section 
1886(g) of the Act requires the Secretary to use a prospective payment 
system (PPS) to pay for the capital-related costs of inpatient hospital 
services for these ``subsection (d) hospitals.'' Under these PPSs, 
Medicare payment for hospital inpatient operating and capital-related 
costs is made at predetermined, specific rates for each hospital 
discharge. Discharges are classified according to a list of diagnosis-
related groups (DRGs).
    The base payment rate is comprised of a standardized amount that is 
divided into a labor-related share and a nonlabor-related share. The 
labor-related share is adjusted by the wage index applicable to the 
area where the hospital is located. If the hospital is located in 
Alaska or Hawaii, the nonlabor-related share is adjusted by a cost-of-
living adjustment (COLA) factor. This base payment rate is multiplied 
by the DRG relative weight.
    If the hospital treats a high percentage of certain low-income 
patients, it receives a percentage add-on payment applied to the DRG-
adjusted base payment rate. This add-on payment, known as the 
disproportionate share hospital (DSH) adjustment, provides for a 
percentage increase in Medicare payments to hospitals that qualify 
under either of two statutory formulas designed to identify hospitals 
that serve a disproportionate share of low-income

[[Page 18008]]

patients. For qualifying hospitals, the amount of this adjustment 
varies based on the outcome of the statutory calculations. The 
Affordable Care Act revised the Medicare DSH payment methodology and 
provides for an additional Medicare payment beginning on October 1, 
2013, that considers the amount of uncompensated care furnished by the 
hospital relative to all other qualifying hospitals.
    If the hospital is training residents in an approved residency 
program(s), it receives a percentage add-on payment for each case paid 
under the IPPS, known as the indirect medical education (IME) 
adjustment. This percentage varies, depending on the ratio of residents 
to beds.
    Additional payments may be made for cases that involve new 
technologies or medical services that have been approved for special 
add-on payments. In general, to qualify, a new technology or medical 
service must demonstrate that it is a substantial clinical improvement 
over technologies or services otherwise available, and that, absent an 
add-on payment, it would be inadequately paid under the regular DRG 
payment. In addition, certain transformative new devices and certain 
antimicrobial products may qualify under an alternative inpatient new 
technology add-on payment pathway by demonstrating that, absent an add-
on payment, they would be inadequately paid under the regular DRG 
payment.
    The costs incurred by the hospital for a case are evaluated to 
determine whether the hospital is eligible for an additional payment as 
an outlier case. This additional payment is designed to protect the 
hospital from large financial losses due to unusually expensive cases. 
Any eligible outlier payment is added to the DRG-adjusted base payment 
rate, plus any DSH, IME, and new technology or medical service add-on 
adjustments and, beginning in FY 2023 for IHS and Tribal hospitals and 
hospitals located in Puerto Rico, the new supplemental payment.
    Although payments to most hospitals under the IPPS are made on the 
basis of the standardized amounts, some categories of hospitals are 
paid in whole or in part based on their hospital-specific rate, which 
is determined from their costs in a base year. For example, sole 
community hospitals (SCHs) receive the higher of a hospital-specific 
rate based on their costs in a base year (the highest of FY 1982, FY 
1987, FY 1996, or FY 2006) or the IPPS Federal rate based on the 
standardized amount. SCHs are the sole source of care in their areas. 
Specifically, section 1886(d)(5)(D)(iii) of the Act defines an SCH as a 
hospital that is located more than 35 road miles from another hospital 
or that, by reason of factors such as an isolated location, weather 
conditions, travel conditions, or absence of other like hospitals (as 
determined by the Secretary), is the sole source of hospital inpatient 
services reasonably available to Medicare beneficiaries. In addition, 
certain rural hospitals previously designated by the Secretary as 
essential access community hospitals are considered SCHs.
    With the recent enactment of section 2202 of the Full-Year 
Continuing Appropriations and Extensions Act, 2025, under current law, 
the Medicare-dependent, small rural hospital (MDH) program is effective 
through September 30, 2025. For discharges occurring on or after 
October 1, 2007, but before October 1, 2025, an MDH receives the higher 
of the Federal rate or the Federal rate plus 75 percent of the amount 
by which the Federal rate is exceeded by the highest of its FY 1982, FY 
1987, or FY 2002 hospital-specific rate. MDHs are a major source of 
care for Medicare beneficiaries in their areas. Section 
1886(d)(5)(G)(iv) of the Act defines an MDH as a hospital that is 
located in a rural area (or, as amended by the Bipartisan Budget Act of 
2018, a hospital located in a State with no rural area that meets 
certain statutory criteria), has not more than 100 beds, is not an SCH, 
and has a high percentage of Medicare discharges (not less than 60 
percent of its inpatient days or discharges in its cost reporting year 
beginning in FY 1987 or in two of its three most recently settled 
Medicare cost reporting years). As section 2202 of the Full-Year 
Continuing Appropriations and Extensions Act, 2025 extended the MDH 
program through FY 2025 only, beginning on October 1, 2025, the MDH 
program will no longer be in effect absent a change in law. Because the 
MDH program is not authorized by statute beyond September 30, 2025, 
beginning October 1, 2025, all hospitals that previously qualified for 
MDH status under section 1886(d)(5)(G) of the Act will no longer have 
MDH status and will be paid based on the IPPS Federal rate.
    Section 1886(g) of the Act requires the Secretary to pay for the 
capital-related costs of inpatient hospital services in accordance with 
a prospective payment system established by the Secretary. The basic 
methodology for determining capital prospective payments is set forth 
in our regulations at 42 CFR 412.308 and 412.312. Under the capital 
IPPS, payments are adjusted by the same DRG for the case as they are 
under the operating IPPS. Capital IPPS payments are also adjusted for 
IME and DSH, similar to the adjustments made under the operating IPPS. 
In addition, hospitals may receive outlier payments for those cases 
that have unusually high costs.
    The existing regulations governing payments to hospitals under the 
IPPS are located in 42 CFR part 412, subparts A through M.
2. Hospitals and Hospital Units Excluded From the IPPS
    Under section 1886(d)(1)(B) of the Act, as amended, certain 
hospitals and hospital units are excluded from the IPPS. These 
hospitals and units are: Inpatient rehabilitation facility (IRF) 
hospitals and units; long-term care hospitals (LTCHs); Inpatient 
psychiatric hospitals (IPF) and units; children's hospitals; cancer 
hospitals; extended neoplastic disease care hospitals, and hospitals 
located outside the 50 States, the District of Columbia, and Puerto 
Rico (that is, hospitals located in the U.S. Virgin Islands, Guam, the 
Northern Mariana Islands, and American Samoa). Religious nonmedical 
health care institutions (RNHCIs) are also excluded from the IPPS. 
Various sections of the Balanced Budget Act of 1997 (BBA) (Pub. L. 105-
33), the Medicare, Medicaid and SCHIP [State Children's Health 
Insurance Program] Balanced Budget Refinement Act of 1999 (BBRA, Pub. 
L. 106-113), and the Medicare, Medicaid, and SCHIP Benefits Improvement 
and Protection Act of 2000 (BIPA, Pub. L. 106-554) provide for the 
implementation of PPSs for IRF hospitals and units, LTCHs, and 
psychiatric hospitals and units (referred to as inpatient psychiatric 
facilities (IPFs)). (We note that the annual updates to the LTCH PPS 
are included along with the IPPS annual update in this document. 
Updates to the IRF PPS and IPF PPS are issued as separate documents.) 
Children's hospitals, cancer hospitals, hospitals located outside the 
50 States, the District of Columbia, and Puerto Rico (that is, 
hospitals located in the U.S. Virgin Islands, Guam, the Northern 
Mariana Islands, and American Samoa), and RNHCIs continue to be paid 
solely under a reasonable cost-based system, subject to a rate-of-
increase ceiling on inpatient operating costs. Similarly, extended 
neoplastic disease care hospitals are paid on a reasonable cost basis, 
subject to a rate-of-increase ceiling on inpatient operating costs.
    The existing regulations governing payments to excluded hospitals 
and hospital units are located in 42 CFR parts 412 and 413.

[[Page 18009]]

3. Long-Term Care Hospital Prospective Payment System (LTCH PPS)
    The Medicare prospective payment system (PPS) for LTCHs applies to 
hospitals described in section 1886(d)(1)(B)(iv) of the Act, effective 
for cost reporting periods beginning on or after October 1, 2002. The 
LTCH PPS was established under the authority of sections 123 of the 
BBRA and section 307(b) of the BIPA (as codified under section 
1886(m)(1) of the Act). Section 1206(a) of the Pathway for SGR Reform 
Act of 2013 (Pub. L. 113-67) established the site neutral payment rate 
under the LTCH PPS, which made the LTCH PPS a dual rate payment system 
beginning in FY 2016. Under this statute, effective for LTCH's cost 
reporting periods beginning in FY 2016 cost reporting period, LTCHs are 
generally paid for discharges at the site neutral payment rate unless 
the discharge meets the patient criteria for payment at the LTCH PPS 
standard Federal payment rate. The existing regulations governing 
payment under the LTCH PPS are located in 42 CFR part 412, subpart O. 
Beginning October 1, 2009, we issue the annual updates to the LTCH PPS 
in the same documents that update the IPPS.
4. Critical Access Hospitals (CAHs)
    Under sections 1814(l), 1820, and 1834(g) of the Act, payments made 
to critical access hospitals (CAHs) (that is, rural hospitals or 
facilities that meet certain statutory requirements) for inpatient and 
outpatient services are generally based on 101 percent of reasonable 
cost. Reasonable cost is determined under the provisions of section 
1861(v) of the Act and existing regulations under 42 CFR part 413.
5. Payments for Graduate Medical Education (GME)
    Under section 1886(a)(4) of the Act, costs of approved educational 
activities are excluded from the operating costs of inpatient hospital 
services. Hospitals with approved graduate medical education (GME) 
programs are paid for the direct costs of GME in accordance with 
section 1886(h) of the Act. The amount of payment for direct GME costs 
for a cost reporting period is based on the hospital's number of 
residents in that period and the hospital's costs per resident in a 
base year. The existing regulations governing payments to the various 
types of hospitals are located in 42 CFR part 413. Section 
1886(d)(5)(B) of the Act provides that prospective payment hospitals 
that have residents in an approved GME program receive an additional 
payment for each Medicare discharge to reflect the higher patient care 
costs of teaching hospitals relative to non-teaching hospitals. The 
additional payment is based on the indirect medical education (IME) 
adjustment factor, which is calculated using a hospital's ratio of 
residents to beds and a multiplier, which is set by Congress. Section 
1886(d)(5)(B)(ii)(XII) of the Act provides that, for discharges 
occurring during FY 2008 and fiscal years thereafter, the IME formula 
multiplier is 1.35. The regulations regarding the indirect medical 
education (IME) adjustment are located at 42 CFR 412.105.

C. Summary of Provisions of Recent Legislation That Would Be 
Implemented in This Proposed Rule

1. The Full-Year Continuing Appropriations and Extensions Act, 2025 
(Pub. L. 119-4)
    Section 2201 of the Full-Year Continuing Appropriations and 
Extensions Act, 2025 extended through FY 2025 the modified definition 
of a low-volume hospital and the methodology for calculating the 
payment adjustment for low-volume hospitals that had been in effect for 
FYs 2019 through 2024. Specifically, under section 1886(d)(12)(C)(i) of 
the Act, as amended, for FYs 2019 through 2025, a subsection (d) 
hospital qualifies as a low-volume hospital if it is more than 15 road 
miles from another subsection (d) hospital and has less than 3,800 
total discharges during the fiscal year. Under section 1886(d)(12)(D) 
of the Act, as amended, for discharges occurring in FYs 2019 through 
September 30, 2025, the Secretary determines the applicable percentage 
increase using a continuous, linear sliding scale ranging from an 
additional 25 percent payment adjustment for low-volume hospitals with 
500 or fewer discharges to a zero percent additional payment for low-
volume hospitals with more than 3,800 discharges in the fiscal year.
    Section 2202 of the Full-Year Continuing Appropriations and 
Extensions Act, 2025 amended sections 1886(d)(5)(G)(i) and 
1886(d)(5)(G)(ii)(II) of the Act to provide for an extension of the MDH 
program through FY 2025 (that is, through September 30, 2025).

D. Summary of the Proposed Provisions

    In this proposed rule, we set forth proposed payment and policy 
changes to the Medicare IPPS for FY 2026 operating costs and capital-
related costs of acute care hospitals and certain hospitals and 
hospital units that are excluded from IPPS. In addition, we set forth 
proposed changes to the payment rates, factors, and other payment and 
policy-related changes to programs associated with payment rate 
policies under the LTCH PPS for FY 2026.
    The following is a general summary of the changes that we are 
proposing to make in this proposed rule.
1. Proposed Changes to MS-DRG Classifications and Recalibrations of 
Relative Weights
    In section II. of the preamble of this proposed rule, we include 
the following:
     Proposed changes to MS-DRG classifications based on our 
yearly review for FY 2026.
     Proposed recalibration of the MS-DRG relative weights.
     A discussion of the proposed FY 2026 status of new 
technologies approved for add-on payments for FY 2025, a presentation 
of our evaluation and analysis of the FY 2026 applicants for add-on 
payments for high-cost new medical services and technologies (including 
public input, as directed by the Medicare Prescription Drug, 
Improvement, and Modernization Act of 2003 (MMA) Public Law 108-173, 
obtained in a town hall meeting for applications not submitted under an 
alternative pathway), and a discussion of the proposed status of FY 
2026 new technology applicants under the alternative pathways for 
certain medical devices and certain antimicrobial products.
2. Proposed Changes to the Hospital Wage Index for Acute Care Hospitals
    In section III. of the preamble of this proposed rule, we propose 
revisions to the wage index for acute care hospitals and the annual 
update of the wage data. Specific issues addressed include, but are not 
limited to, the following:
     The proposed FY 2026 wage index update using wage data 
from cost reporting periods beginning in FY 2022.
     Calculation, analysis, and implementation of the proposed 
occupational mix adjustment to the wage index for acute care hospitals 
for FY 2026 based on the 2022 Occupational Mix Survey.
     Proposed application of the rural, imputed and frontier 
State floors, and proposed transition for the discontinuation of the 
low wage index hospital policy.
     Proposed revisions to the wage index for acute care 
hospitals, based on hospital redesignations and reclassifications under 
sections 1886(d)(8)(B), (d)(8)(E), and (d)(10) of the Act.
     Proposed adjustment to the wage index for acute care 
hospitals for FY 2026 based on commuting patterns of

[[Page 18010]]

hospital employees who reside in a county and work in a different area 
with a higher wage index.
     Proposed labor-related share for applying the FY 2026 wage 
index.
3. Proposed Rebasing and Revising of the IPPS Market Baskets
    In section IV. of the preamble of this proposed rule, we propose to 
rebase and revise the IPPS market baskets to reflect a 2023 base year. 
In section IV.B.3. of the preamble of this proposed rule, using the 
cost category weights from the proposed 2023-based IPPS market basket, 
we propose to use a labor-related share of 66.0 percent for the 
national standardized amounts for all IPPS hospitals (including 
hospitals in Puerto Rico) that have a wage index value that is greater 
than 1.0000.
4. Payment Adjustment for Medicare Disproportionate Share Hospitals 
(DSHs) for FY 2026
    In section V. of the preamble of this proposed rule, we discuss the 
following:
     Proposed calculation of Factor 1 and Factor 2 of the 
uncompensated care payment methodology.
     Proposed methodological approach for determining Factor 3 
of the uncompensated care payment for FY 2026, which is the same 
methodology that was used for FY 2025.
     Proposed methodological approach for determining the 
amount of interim uncompensated care payments using the average of the 
most recent 3 years of discharge data.
5. Other Decisions and Proposed Changes to the IPPS for Operating Costs
    In section VI. of the preamble of this proposed rule, we discuss 
proposed changes or clarifications of a number of the provisions of the 
regulations in 42 CFR parts 412 and 413, including the following:
     Proposed inpatient hospital market basket update for FY 
2026.
     Proposed updated national and regional case-mix values and 
discharges for purposes of determining RRC status.
     Proposed conforming amendments to reflect the statutory 
extension of the temporary changes to the low-volume hospital payment 
adjustment through September 30, 2025.
     Proposed conforming amendments to reflect the statutory 
extension of the MDH program through September 30, 2025.
     A direct graduate medical education (GME) and indirect 
medical education (IME) policy proposal for calculating full-time 
equivalent counts and caps for cost reporting periods other than 12 
months; and a notice of closure of two teaching hospitals and 
opportunities to apply for available slots.
     Proposed nursing and allied health education (NAHE) 
program Medicare Advantage (MA) add-on rates and direct GME MA percent 
reductions for CY 2024; and proposed regulatory changes regarding the 
calculation of net cost of NAHE.
     Proposed update to and revision to the payment adjustment 
for certain immunotherapy cases.
     Proposed changes to the requirements of the Hospital 
Readmissions Reduction Program--Updating the proposed estimate of the 
financial impacts for the FY 2026 Hospital Readmissions Reduction 
Program.
     Proposed changes to the requirements of the Hospital 
Value-Based Purchasing Program--Updating the proposed estimate of the 
financial impacts for the FY 2026 Hospital Value-Based Purchasing 
Program.
     Proposed changes to the requirements of the Hospital-
Acquired Conditions Reduction Program--Updating the proposed estimate 
of the financial impacts for the FY 2026 Hospital-Acquired Conditions 
Reduction Program.
     Discussion of and proposed changes relating to the 
implementation of the Rural Community Hospital Demonstration Program in 
FY 2025.
6. Proposed FY 2026 Policy Governing the IPPS for Capital-Related Costs
    In section VII. of the preamble of the proposed rule, we discuss 
the proposed payment policy requirements for capital-related costs and 
capital payments to hospitals for FY 2025.
7. Proposed Changes to the Payment Rates for Certain Excluded 
Hospitals: Rate-of-Increase Percentages
    In section VIII. of the preamble of the proposed rule, we discuss 
the following:
     Proposed changes to payments to certain excluded hospitals 
for FY 2026.
     Proposed continued implementation of the Frontier 
Community Health Integration Project (FCHIP) Demonstration.
8. Proposed Changes to the LTCH PPS
    In section IX. of the preamble of the proposed rule, we set forth 
proposed changes to the LTCH PPS Federal payment rates, factors, and 
other payment rate policies under the LTCH PPS for FY 2026.
9. Proposed Changes Relating to Quality Data Reporting for Specific 
Providers and Suppliers
    In section X. of the preamble of the proposed rule, we addressed 
the following:
     Solicitation of comment on adopting measures across the 
hospital quality reporting and value-based purchasing programs which 
capture more forms of unplanned post-acute care and encourage hospitals 
to improve discharge processes.
     Proposed changes to the requirements for the Hospital IQR 
Program.
     Proposed changes to the requirements for the PCHQR 
Program.
     Proposed changes to the requirements for the LTCH QRP, and 
requests for information on future measure concepts, revisions to the 
data submission deadlines for assessment data collection, and advancing 
digital quality measurement (dQM) in the LTCH QRP.
     Proposed changes to requirements pertaining to eligible 
hospitals and CAHs participating in the Medicare Promoting 
Interoperability Program.
10. Other Proposals and Comment Solicitations Included in the Proposed 
Rule
    Section XI. of the preamble of the proposed rule includes proposed 
changes to TEAM that would affect participation, quality measure and 
assessment, pricing methodology, health data reporting, waivers of 
Medicare Program requirements, and the Decarbonization and Resilience 
Initiative.
11. Other Provisions of the Proposed Rule
    Section XII.A. of the preamble of the proposed rule includes our 
discussion of the MedPAC Recommendations.
    Section XII.B. of the preamble of the proposed rule includes a 
descriptive listing of the public use files associated with this 
proposed rule.
    Section XIII. of the preamble of the proposed rule includes the 
collection of information requirements for entities based on our 
proposals.
    Section XIV. of the preamble of the proposed rule includes 
information regarding our responses to public comments.
12. Determining Prospective Payment Operating and Capital Rates and 
Rate-of-Increase Limits for Acute Care Hospitals
    In sections II. and III. of the Addendum of the proposed rule, we 
set forth proposed changes to the amounts and factors for determining 
the

[[Page 18011]]

proposed FY 2026 prospective payment rates for operating costs and 
capital-related costs for acute care hospitals, including cost-of-
living adjustment (COLA) factors for IPPS hospitals located in Alaska 
and Hawaii. We are proposing to establish the threshold amounts for 
outlier cases. In addition, in section IV. of the Addendum of the 
proposed rule, we address the proposed update factors for determining 
the rate-of-increase limits for cost reporting periods beginning in FY 
2026 for certain hospitals excluded from the IPPS.
13. Determining Prospective Payment Rates for LTCHs
    In section V. of the Addendum of the proposed rule, we set forth 
proposed changes to the amounts and factors for determining the 
proposed FY 2026 LTCH PPS standard Federal payment rate and other 
factors used to determine LTCH PPS payments under both the LTCH PPS 
standard Federal payment rate and the site neutral payment rate in FY 
2026. We are proposing to establish the adjustments for the wage index, 
labor-related share, the cost-of-living adjustment, and high-cost 
outliers, including the applicable fixed-loss amounts and the LTCH 
cost-to-charge ratios (CCRs) for both payment rates.
14. Impact Analysis
    In Appendix A of this proposed rule, we set forth an analysis of 
the impact the proposed changes would have on affected acute care 
hospitals, LTCHs, and other entities.
15. Recommendation of Update Factors for Operating Cost Rates of 
Payment for Hospital Inpatient Services
    In Appendix B of this proposed rule, as required by sections 
1886(e)(4) and (e)(5) of the Act, we provide our recommendations of the 
appropriate percentage changes for FY 2026 for the following:
     A single average standardized amount for all areas for 
hospital inpatient services paid under the IPPS for operating costs of 
acute care hospitals (and hospital-specific rates applicable to SCHs 
and MDHs).
     Target rate-of-increase limits to the allowable operating 
costs of hospital inpatient services furnished by certain hospitals 
excluded from the IPPS.
     The LTCH PPS standard Federal payment rate and the site 
neutral payment rate for hospital inpatient services provided for LTCH 
PPS discharges.
16. Discussion of Medicare Payment Advisory Commission Recommendations
    Under section 1805(b) of the Act, MedPAC is required to submit a 
report to Congress, no later than March 15 of each year, in which 
MedPAC reviews and makes recommendations on Medicare payment policies. 
MedPAC's March 2025 recommendations concerning hospital inpatient 
payment policies address the update factor for hospital inpatient 
operating costs and capital-related costs for hospitals under the IPPS. 
We address these recommendations in Appendix B of this proposed rule. 
For further information relating specifically to the MedPAC March 2024 
report or to obtain a copy of the report, contact MedPAC at (202) 220-
3700 or visit MedPAC's website at https://www.medpac.gov.

II. Proposed Changes to Medicare Severity Diagnosis-Related Group (MS-
DRG) Classifications and Relative Weights

A. Background

    Section 1886(d) of the Act specifies that the Secretary shall 
establish a classification system (referred to as diagnosis-related 
groups (DRGs)) for inpatient discharges and adjust payments under the 
IPPS based on appropriate weighting factors assigned to each DRG. 
Therefore, under the IPPS, Medicare pays for inpatient hospital 
services on a rate per discharge basis that varies according to the DRG 
to which a beneficiary's stay is assigned. The formula used to 
calculate payment for a specific case multiplies an individual 
hospital's payment rate per case by the weight of the DRG to which the 
case is assigned. Each DRG weight represents the average resources 
required to care for cases in that particular DRG, relative to the 
average resources used to treat cases in all DRGs.
    Section 1886(d)(4)(C) of the Act requires that the Secretary adjust 
the DRG classifications and relative weights at least annually to 
account for changes in resource consumption. These adjustments are made 
to reflect changes in treatment patterns, technology, and any other 
factors that may change the relative use of hospital resources.

B. Adoption of the MS-DRGs and MS-DRG Reclassifications

    For information on the adoption of the MS-DRGs in FY 2008, we refer 
readers to the FY 2008 IPPS final rule with comment period (72 FR 47140 
through 47189).
    For general information about the MS-DRG system, including yearly 
reviews and changes to the MS-DRGs, we refer readers to the previous 
discussions in the FY 2010 IPPS/RY 2010 LTCH PPS final rule (74 FR 
43764 through 43766) and the FYs 2011 through 2025 IPPS/LTCH PPS final 
rules (75 FR 50053 through 50055; 76 FR 51485 through 51487; 77 FR 
53273; 78 FR 50512; 79 FR 49871; 80 FR 49342; 81 FR 56787 through 
56872; 82 FR 38010 through 38085; 83 FR 41158 through 41258; 84 FR 
42058 through 42165; 85 FR 58445 through 58596; 86 FR 44795 through 
44961; 87 FR 48800 through 48891; 88 FR 58654 through 58787; and 89 FR 
69000 through 69109, respectively).
    For discussion regarding our previously finalized policies 
(including our historical adjustments to the payment rates) relating to 
the effect of changes in documentation and coding that do not reflect 
real changes in case mix, we refer readers to the FY 2023 IPPS/LTCH PPS 
final rule (87 FR 48799 through 48800).

C. Proposed Changes to Specific MS-DRG Classifications

1. Discussion of Changes to Coding System and Basis for Proposed FY 
2026 MS-DRG Updates
a. International Classification of Diseases, 10th Revision (ICD-10)
    Providers use the International Classification of Diseases, 10th 
Revision (ICD-10) coding system to report diagnoses and procedures for 
Medicare hospital inpatient services under the MS-DRG system. The ICD-
10 coding system includes the International Classification of Diseases, 
10th Revision, Clinical Modification (ICD-10-CM) for diagnosis coding 
and the International Classification of Diseases, 10th Revision, 
Procedure Coding System (ICD-10-PCS) for inpatient hospital procedure 
coding, as well as the ICD-10-CM and ICD-10-PCS Official Guidelines for 
Coding and Reporting.
b. Basis for Proposed FY 2026 MS-DRG Updates
    The deadline for interested parties to submit MS-DRG classification 
change requests for FY 2026 was October 20, 2024. All requests are 
submitted to CMS via Medicare Electronic Application Request 
Information SystemTM (MEARISTM), accessed at 
https://mearis.cms.gov. Specifically, as indicated on the 
MEARISTM site, the MS-DRG classification change request 
process may be used for requests to create, modify, or delete MS-DRGs,

[[Page 18012]]

change ICD-10-CM diagnosis code(s) severity level designations, change 
ICD-10-PCS procedure code(s) Operating Room (O.R.) designations, or to 
review the CC Exclusions List or the surgical hierarchy.
    Within MEARISTM, we have built in several resources to 
support users, including a ``Resources'' section available at https://mearis.cms.gov/public/resources with technical support available under 
``Useful Links'' at the bottom of the MEARISTM site. 
Questions regarding the MEARISTM system can be submitted to 
CMS using the form available under ``Contact'', also at the bottom of 
the MEARISTM site.
    We note that the burden associated with this information collection 
requirement is the time and effort required to collect and submit the 
data in the request for MS-DRG classification changes to CMS. The 
aforementioned burden is subject to the Paperwork Reduction Act (PRA) 
of 1995 and approved under OMB control number 0938-1431 and has an 
expiration date of 09/30/2025.
    Interested parties should submit any MS-DRG classification change 
requests, including any comments and suggestions for FY 2027 
consideration by October 20, 2025 via MEARISTM at: https://mearis.cms.gov/public/home.
    As we have discussed in prior rulemaking, we may not be able to 
fully consider all of the requests that we receive for the upcoming 
fiscal year. We have found that, with the implementation of ICD-10, 
some types of requested changes to the MS-DRG classifications require 
more extensive research to identify and analyze all of the data that 
are relevant to evaluating the potential change. We note in the 
discussion that follows those topics for which further research and 
analysis are required, and which we will continue to consider in 
connection with future rulemaking. We further note that we also 
received recommendations and feedback that did not involve requests to 
create, modify, or delete MS-DRGs, change code designations, or to 
review the CC Exclusions List or the surgical hierarchy, which 
therefore are not summarized or addressed in this discussion of the MS-
DRG classification change requests received for FY 2026.
    We received requests to modify the GROUPER logic in several MS-DRGs 
under MDC 08 (Diseases and Disorders of the Musculoskeletal System and 
Connective Tissue) and a request to modify the GROUPER logic for MS-DRG 
794 (Neonate with Other Significant Problems) under MDC 15 (Newborns 
and Other Neonates with Conditions Originating in Perinatal Period). 
Specifically, we received requests to--
     Modify the GROUPER logic of new MS-DRG 426 (Multiple Level 
Combined Anterior and Posterior Spinal Fusion Except Cervical with MCC 
or Custom-Made Anatomically Designed Interbody Fusion Device), new MS-
DRG 427 (Multiple Level Combined Anterior and Posterior Spinal Fusion 
Except Cervical with CC), and new MS-DRG 428 (Multiple Level Combined 
Anterior and Posterior Spinal Fusion Except Cervical without CC/MCC); 
new MS-DRG 447 (Multiple Level Spinal Fusion Except Cervical with MCC 
or Custom-Made Anatomically Designed Interbody Fusion Device) and new 
MS-DRG 448 (Multiple Level Spinal Fusion Except Cervical without MCC); 
and MS-DRGs 456, 457, and 458 (Spinal Fusion Except Cervical with 
Spinal Curvature, Malignancy, Infection or Extensive Fusions with MCC, 
with CC, and without CC/MCC, respectively) by reassigning cases with an 
ICD-10-PCS code that describes fusion of a sacroiliac joint using an 
internal fixation device with tulip connector or insertion of an 
internal fixation device with tulip connector into a pelvic bone with 
another spinal fusion procedure code that currently map to the lower 
severity level MS-DRG to the highest severity level (with MCC) MS-DRG.
     Modify the GROUPER logic of MS-DRGs 463, 464, and 465 
(Wound Debridement and Skin Graft Except Hand for Musculoskeletal and 
Connective Tissue Disorders with MCC, with CC, and without CC/MCC, 
respectively); MS-DRGs 466, 467, and 468 (Revision of Hip or Knee 
Replacement with MCC, with CC, and without CC/MCC, respectively); and 
MS-DRGs 492, 493, and 494 (Lower Extremity and Humerus Procedures 
Except Hip, Foot and Femur with MCC, with CC, and without CC/MCC, 
respectively) by reassigning cases with ICD-10-PCS code XW0V0P7 
(Introduction of antibiotic-eluting bone void filler into bones, open 
approach, new technology group 7) that currently map to the lower 
severity level MS-DRG to the highest severity level (with MCC) MS-DRG.
     Modify the GROUPER logic of MS-DRG 794. The requestor 
recommended that ICD-10-CM diagnosis codes P09.6 (Abnormal findings on 
neonatal screening for neonatal hearing loss), Z13.0 (Encounter for 
screening for diseases of the blood and blood-forming organs and 
certain disorders involving the immune mechanism), Z82.5 (Family 
history of asthma and other chronic lower respiratory diseases) and 
Z82.79 (Family history of other congenital malformations, deformations 
and chromosomal abnormalities), be added to the MS-DRG 795 (Normal 
Newborn) ``only secondary diagnosis'' list so that they would result in 
assignment to MS-DRG 795 when coded with a principal diagnosis code 
from ICD-10-CM category Z38 (Liveborn infants according to place of 
birth and type of delivery) instead of MS-DRG 794.
    We appreciate the submissions and related analyses provided by the 
requestors for our consideration as we review MS-DRG classification 
change requests for FY 2026; however, we note the complexity of the 
GROUPER logic for these MS-DRGs in connection with these requests 
requires more extensive analyses to identify and evaluate all the data 
relevant to assessing these potential modifications. Specifically, we 
note that MS-DRGs 426, 427, 428, 447, and 448 recently became effective 
October 1, 2024 (FY 2025) and as discussed in the FY 2025 IPPS/LTCH PPS 
proposed rule (89 FR 35982 through 35983) and final rule (89 FR 69049 
through 69053) in consideration of any future modifications to the 
current structure of the logic for case assignment to MS-DRGs 456, 457, 
and 458 we noted that additional analysis would be needed because the 
logic is also defined by diagnosis code logic as well as extensive 
fusions. We also note that, as discussed further in section II.C.5.c. 
of the preamble of this FY 2026 IPPS/LTCH PPS proposed rule, we 
identified additional inconsistencies related to the diagnosis code 
logic for MS-DRGs 456, 457, and 458 for which we are proposing 
modifications. In addition, analyzing the impact of restructuring the 
logic in these MS-DRGs with respect to procedure codes describing 
fusion of a sacroiliac joint using an internal fixation device with 
tulip connector necessitates evaluating the impact across numerous 
other MS-DRGs in MDC 08, as well as MS-DRG 028 (Spinal Procedures with 
MCC), MS-DRG 029 (Spinal Procedures with CC or Spinal 
Neurostimulators), and MS-DRG 030 (Spinal Procedures without CC/MCC) 
under MDC 01 (Diseases and Disorders of the Nervous System) since the 
procedure codes describing fusion of a sacroiliac joint using an 
internal fixation device with tulip connector also map to these MS-
DRGs.
    With respect to the request to reassign cases reporting procedure 
code XW0V0P7 from the lower severity level to the highest (with MCC) 
severity level in the previously listed MS-DRGs, we note that the 
procedure to insert a bone void filler is designated as a non-operating 
room (Non-O.R.) procedure and believe that the key factor that

[[Page 18013]]

would contribute to resource utilization in these cases is the fact 
that the patients have an infection(s) which require additional 
resources. As discussed in section II.C.5.a. of the preamble of this FY 
2026 IPPS/LTCH PPS proposed rule, we also received an MS-DRG request 
related to cases reporting a hip or knee procedure with a diagnosis of 
periprosthetic joint infection (PJI) in MS-DRGs 463, 464, and 465. In 
our review of the claims data to address that request we noted that a 
subset of the cases also reported procedure code XW0V0P7. Consistent 
with our established process, we must also consider if there are 
additional factors, such as the severity of illness with other 
secondary CC/MCC conditions reported and any other O.R. procedures or 
services provided, such as mechanical ventilation, that may be 
contributing to the consumption of resources for these cases. For these 
reasons and those previously described, we believe additional time is 
needed to review and evaluate potential extensive modifications to the 
structure of these MS-DRGs.
    With respect to the request to modify the GROUPER logic of MS-DRG 
794, as discussed in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69061 
through 69065), we acknowledged that MS-DRG 794 utilizes ``fall-
through'' logic, meaning if a diagnosis code is not assigned to any of 
the other MS-DRGs, then assignment ``falls-through'' to MS-DRG 794. As 
discussed in the FY 2025 IPPS/LTCH PPS rule, we stated we have started 
to examine the GROUPER logic that would determine the assignment of 
cases to the MS-DRGs in MDC 15, including MS-DRGs 794 and 795, to 
determine where further refinements could potentially be made to better 
account for differences in clinical complexity and resource 
utilization. However, as we have noted in prior rulemaking (72 FR 
47152), we stated we cannot adopt the same approach to refine the 
newborn MS-DRGs because of the extremely low volume of Medicare 
patients there are in these MS-DRGs. We believe it is appropriate to 
consider the request to add ICD-10-CM diagnosis codes P09.6 (Abnormal 
findings on neonatal screening for neonatal hearing loss), Z13.0 
(Encounter for screening for diseases of the blood and blood-forming 
organs and certain disorders involving the immune mechanism), Z82.5 
(Family history of asthma and other chronic lower respiratory diseases) 
and Z82.79 (Family history of other congenital malformations, 
deformations and chromosomal abnormalities) to the MS-DRG 795 (Normal 
Newborn) ``only secondary diagnosis'' list in connection with our 
continued examination of the GROUPER logic that would determine the 
assignment of cases to the MS-DRGs in MDC 15 in future rulemaking, 
rather than proposing to change the MS-DRG assignment of individual 
ICD-10-CM diagnosis codes at this time. Additional time is needed to 
fully and accurately evaluate cases currently grouping to the MS-DRGs 
in MDC 15 to consider if restructuring the current MS-DRGs would better 
recognize the clinical distinctions of these patient populations.
    We will continue to monitor the data as we consider these issues in 
connection with future rulemaking. As we continue the analysis of the 
claims data with respect to MS-DRGs in MDC 08, MDC 01, and MDC 15, we 
welcome public comments and feedback on other factors that should be 
considered in the potential restructuring of these MS-DRGs. Feedback 
and other suggestions may be directed to MEARISTM at: 
https://mearis.cms.gov/public/home. As noted, interested parties should 
submit any MS-DRG classification change requests, including any 
comments and suggestions for FY 2027 consideration by October 20, 2025 
via MEARISTM at: https://mearis.cms.gov/public/home.
    As we did for the FY 2025 IPPS/LTCH PPS proposed rule, for this FY 
2026 IPPS/LTCH PPS proposed rule we are providing a test version of the 
ICD-10 MS-DRG GROUPER Software, Version 43, so that the public can 
better analyze and understand the impact of the proposals included in 
this FY 2026 IPPS/LTCH PPS proposed rule. We note that this test 
software reflects the proposed GROUPER logic for FY 2026. Therefore, it 
includes the new diagnosis and procedure codes that are effective for 
FY 2026 as reflected in Table 6A.--New Diagnosis Codes--FY 2026 and 
Table 6B.--New Procedure Codes--FY 2026 associated with this FY 2026 
IPPS/LTCH PPS proposed rule and does not include the diagnosis codes 
that are invalid beginning in FY 2026 as reflected in Table 6C.--
Invalid Diagnosis Codes--FY 2026 and Table 6D.--Invalid Procedure 
Codes--FY 2026 associated with this FY 2026 IPPS/LTCH PPS proposed 
rule. These tables are not published in the Addendum to this FY 2026 
IPPS/LTCH PPS proposed rule, but are available on the CMS website at: 
https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html as described in section VI. of the 
Addendum to this FY 2026 IPPS/LTCH PPS proposed rule. Because the 
diagnosis and procedure codes no longer valid for FY 2026 are not 
reflected in the test software, we are making available a supplemental 
file in Table 6P.1a that includes the mapped Version 43 FY 2026 ICD-10-
CM codes and the deleted Version 42 FY 2025 ICD-10-CM codes and Table 
6P.1b that includes the mapped Version 43 FY 2026 ICD-10-PCS codes and 
the deleted Version 42.1 FY 2025 ICD-10-PCS codes that should be used 
for testing purposes with users' available claims data. Therefore, 
users will have access to the test software allowing them to build case 
examples that reflect the proposals included in this FY 2026 IPPS/LTCH 
PPS proposed rule. In addition, users will be able to view the draft 
version of the ICD-10 MS-DRG Definitions Manual, Version 43 that 
contains the documentation for proposed FY 2026 ICD-10 MS-DRG GROUPER 
Version 43 logic changes and will also be able to view a draft version 
of the Definitions of Medicare Code Edits (MCE) Manual to review any 
changes that will become effective October 1 for FY 2026. As a result 
of new and modified code updates approved after the annual spring ICD-
10 Coordination and Maintenance Committee meeting, any further changes 
to the MCE will be reflected in the finalized Definitions of Medicare 
Code Edits (MCE) Manual, made available in association with the annual 
IPPS/LTCH PPS final rule. We are making available the draft FY 2026 
ICD-10 MCE Version 43 Manual file on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software.
    The MCE manual is comprised of two chapters: Chapter 1: Edit code 
lists provides a listing of each edit, an explanation of each edit, and 
as applicable, the diagnosis and/or procedure codes for each edit, and 
Chapter 2: Code list changes summarizes the changes in the edit code 
lists (for example, additions and deletions) from the prior release of 
the MCE software. The public may submit any questions, comments, 
concerns, or recommendations regarding the MCE to the CMS mailbox at 
[email protected] for our review and consideration.
    The test version of the ICD-10 MS-DRG GROUPER Software, Version 43, 
the draft version of the ICD-10 MS-DRG Definitions Manual, Version 43, 
the draft version of the Definitions of Medicare Code Edits Manual, 
Version 43, and the supplemental mapping files in Tables 6P.1a and 
6P.1b of the FY 2025 and FY 2026 ICD-10-CM

[[Page 18014]]

diagnosis codes and ICD-10-PCS procedure codes are available at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/MS-DRG-Classifications-and-Software.
    The following are the changes that we are proposing to the MS-DRGs 
for FY 2026. We are inviting public comments on each of the MS-DRG 
classification proposed changes, as well as our proposals to maintain 
certain existing MS-DRG classifications discussed in this FY 2026 IPPS/
LTCH PPS proposed rule. In some cases, we are proposing changes to the 
MS-DRG classifications based on our analysis of claims data and 
clinical appropriateness. In other cases, we are proposing to maintain 
the existing MS-DRG classifications based on our analysis of claims 
data and clinical appropriateness. For this FY 2026 IPPS/LTCH PPS 
proposed rule, our MS-DRG analysis was based on ICD-10 claims data from 
the September 2024 update of the FY 2024 MedPAR file, which contains 
hospital bills received from October 1, 2023 through September 30, 
2024. In our discussion of the proposed MS-DRG reclassification 
changes, we refer to these claims data as the ``September 2024 update 
of the FY 2024 MedPAR file.''
    In deciding whether to propose to make further modifications to the 
MS-DRGs for particular circumstances brought to our attention, we 
consider whether the resource consumption and clinical characteristics 
of the patients with a given set of conditions are significantly 
different than the remaining patients represented in the MS-DRG. We 
evaluate patient care costs using average costs and lengths of stay and 
rely on clinical factors to determine whether patients are clinically 
distinct or similar to other patients represented in the MS-DRG. In 
evaluating resource costs, we consider both the absolute and percentage 
differences in average costs between the cases we select for review and 
the remainder of cases in the MS-DRG. We also consider variation in 
costs within these groups; that is, whether observed average 
differences are consistent across patients or attributable to cases 
that are extreme in terms of costs or length of stay, or both. Further, 
we consider the number of patients who will have a given set of 
characteristics and generally prefer not to create a new MS-DRG unless 
it would include a substantial number of cases.
    In the FY 2021 IPPS/LTCH PPS final rule (85 FR 58448), we finalized 
our proposal to expand our existing criteria to create a new 
complication or comorbidity (CC) or major complication or comorbidity 
(MCC) subgroup within a base MS-DRG. Specifically, we finalized the 
expansion of the criteria to include the NonCC subgroup for a three-way 
severity level split. We stated we believed that applying these 
criteria to the NonCC subgroup would better reflect resource 
stratification as well as promote stability in the relative weights by 
avoiding low volume counts for the NonCC level MS-DRGs. We noted that 
in our analysis of MS-DRG classification requests for FY 2021 that were 
received by November 1, 2019, as well as any additional analyses that 
were conducted in connection with those requests, we applied these 
criteria to each of the MCC, CC, and NonCC subgroups.
    As discussed in the FY 2024 IPPS/LTCH PPS final rule (88 FR 58661), 
we continue to apply the criteria to create subgroups, including 
application of the NonCC subgroup criteria, in our annual analysis of 
MS-DRG classification requests, consistent with our approach since FY 
2021 when we finalized the expansion of the criteria to include the 
NonCC subgroup for a three-way severity level split. Accordingly, in 
our analysis of the MS-DRG classification requests for FY 2026 that we 
received by October 20, 2024, as well as any additional analyses that 
were conducted in connection with those requests, we applied these 
criteria to each of the MCC, CC, and NonCC subgroups, as described in 
the following table.

----------------------------------------------------------------------------------------------------------------
                                     Three-way split 123 (MCC vs  Two-way split 1_23 MCC    Two-way split 12_3
            Criteria No.                     CC vs NonCC)              vs (CC+NonCC)         (MCC+CC) vs NonCC
----------------------------------------------------------------------------------------------------------------
1. At least 500 cases in the MCC/CC/ 500+ cases for MCC group;    500+ cases for MCC      500+ cases for
 NonCC group.                         and 500+ cases for CC        group; and 500+ cases   (MCC+CC) group; and
                                      group; and 500+ cases for    for (CC+NonCC) group.   500+ cases for NonCC
                                      NonCC group.                                         group.
2. At least 5% of the patients are   5%+ cases for MCC group;     5%+ cases for MCC       5%+ cases for (MCC+CC)
 in the MCC/CC/NonCC group.           and 5%+ cases for CC         group; and 5%+ cases    group; and 5%+ cases
                                      group; and 5%+ cases for     for (CC+NonCC) group.   for NonCC group.
                                      NonCC group.
3. There is at least a 20%           20%+ difference in average   20%+ difference in      20%+ difference in
 difference in average cost between   cost between MCC group and   average cost between    average cost between
 subgroups.                           CC group; and 20%+           MCC group and           (MCC+CC) group and
                                      difference in average cost   (CC+NonCC) group.       NonCC group.
                                      between CC group and NonCC
                                      group.
4. There is at least a $2,000        $2,000+ difference in        $2,000+ difference in   $2,000+ difference in
 difference in average cost between   average cost between MCC     average cost between    average cost between
 subgroups.                           group and CC group; and      MCC group and           (MCC+CC) group and
                                      $2,000+ difference in        (CC+NonCC) group.       NonCC group.
                                      average cost between CC
                                      group and NonCC group.
5. The R2 of the split groups is     R2 >3.0 for the three-way    R2 >3.0 for the two-    R2 >3.0 for the two-
 greater than or equal to 3.          split within the base MS-    way 1_23 split within   way 12_3 split within
                                      DRG.                         the base MS-DRG.        the base MS-DRG.
----------------------------------------------------------------------------------------------------------------

    In general, once the decision has been made to propose to make 
further modifications to the MS-DRGs as described previously, such as 
creating a new base MS-DRG, or in our evaluation of a specific MS-DRG 
classification request to split (or subdivide) an existing base MS-DRG 
into severity levels, all five criteria must be met for the base MS-DRG 
to be split (or subdivided) by a CC subgroup. We note that in our 
analysis of requests to create a new MS-DRG, we typically evaluate the 
most recent year of MedPAR claims data available. For example, we 
stated earlier that for this FY 2026 IPPS/LTCH PPS proposed rule, our 
MS-DRG analysis was based on ICD-10 claims data from the September 2024 
update of the FY 2024 MedPAR file. However, in our evaluation of 
requests to split an existing base MS-DRG into severity levels, as 
noted in prior rulemaking (80 FR 49368), we typically analyze the most 
recent two years of data. This analysis includes two years of MedPAR 
claims data to compare the data results from one year to the next to 
avoid making determinations about whether additional severity levels 
are warranted based on an isolated year's data fluctuation and also, to 
validate that the established severity levels within a base MS-DRG are 
supported. The first step in our process of evaluating if the creation 
of a new CC subgroup within a base MS-DRG is warranted is to determine 
if all the criteria is satisfied for a three-way split. In applying the 
criteria for a three-way split, a base MS-DRG is initially subdivided 
into the three subgroups: MCC, CC, and NonCC. Each

[[Page 18015]]

subgroup is then analyzed in relation to the other two subgroups using 
the volume (Criteria 1 and 2), average cost (Criteria 3 and 4), and 
reduction in variance (Criteria 5). If the criteria fail, the next step 
is to determine if the criteria are satisfied for a two-way split. In 
applying the criteria for a two-way split, a base MS-DRG is initially 
subdivided into two subgroups: ``with MCC'' and ``without MCC'' (1_23) 
or ``with CC/MCC'' and ``without CC/MCC'' (12_3). Each subgroup is then 
analyzed in relation to the other using the volume (Criteria 1 and 2), 
average cost (Criteria 3 and 4), and reduction in variance (Criteria 
5). If the criteria for both of the two-way splits fail, then a split 
(or CC subgroup) would generally not be warranted for that base MS-DRG. 
If the three-way split fails on any one of the five criteria and all 
five criteria for both two-way splits (1_23 and 12_3) are met, we would 
apply the two-way split with the highest R2 value. We note that if the 
request to split (or subdivide) an existing base MS-DRG into severity 
levels specifies the request is for either one of the two-way splits 
(1_23 or 12_3), in response to the specific request, we will evaluate 
the criteria for both of the two-way splits; however, we do not also 
evaluate the criteria for a three-way split.
2. Pre-MDC MS-DRG 018 Chimeric Antigen Receptor (CAR) T-Cell and Other 
Immunotherapies
    We received a request to review the recent MS-DRG assignments to 
Pre-MDC MS-DRG 018 (Chimeric Antigen Receptor (CAR) T-cell and Other 
Immunotherapies) and to clarify how decisions for the assignment of 
cell and gene therapies will be made moving forward. According to the 
requestor, for FY 2025, CMS did not assign prademagene zamikeracel 
(PZ), an autologous genetically engineered cell-based gene therapy, to 
MS-DRGs that would create clinical homogeneity and therefore, the 
mapping of these cases to MS-DRG 018 instead implied that estimated 
post-approval product pricing takes precedent for cell and gene 
therapies over clinical homogeneity principles. The requestor 
acknowledged that CMS has previously clarified that therapies mapped to 
Pre-MDC MS-DRG 018 do not need to be CAR T-cell products or utilized in 
the treatment of cancer and stated it concurs with that approach. 
However, the requestor indicated that the mapping of PZ to Pre-MDC MS-
DRG 018 for FY 2025 also raised the following questions:
     Why was PZ mapped to Pre-MDC MS-DRG 018 when a different 
product (eladocagene exuparvovec) that is also delivered via operating 
room administration methods was mapped to other non-pre-MDC MS-DRGs?
     Why did CMS indicate that Lantidra, a recently approved 
cellular therapy, would map to the same MS-DRGs as existing insulin 
delivery therapies and technologies used to treat the subset of 
patients with hard-to-control Type 1 diabetes complicated by severe 
hypoglycemia who cannot receive a whole pancreas transplant instead of 
to Pre-MDC MS-DRG 018?
     Does CMS intend a future split of Pre-MDC MS-DRG 018 
between medical and surgical cell and gene therapies to recognize the 
clinical resource differential between the two modalities, even if the 
500 case volume threshold is not reached?
     Why was a product delivered via allogeneic stem cell 
transplant procedure (Orca-T) mapped to Pre-MDC MS-DRG 018 instead of 
Pre-MDC MS-DRG 014 (Allogeneic Bone Marrow Transplant)?
     If products delivered via stem cell transplant should be 
mapped to Pre-MDC MS-DRG 018 based on resource use, per the Orca-T 
example, why are multiple gene therapy products delivered via stem cell 
transplant instead mapped to Pre-MDC MS-DRGs 016 and 017 (Autologous 
Bone Marrow Transplant with CC/MCC and without CC/MCC, respectively)?
    The requestor stated the previously listed questions illustrate 
examples of inconsistencies with the MS-DRG mappings of cell and gene 
therapy products in recent years. The requestor recommended that CMS 
review recent MS-DRG assignments for these products and consider 
refinements to the approach. The requestor also urged CMS to clarify 
how decisions for cell and gene therapies will be made in the future. 
The requestor stated that if the intent of CMS is for Pre-MDC MS-DRG 
018 to be a broad cell and gene therapy MS-DRG then a modification to 
the title of Pre-MDC MS-DRG 018 should be proposed and therapies 
currently assigned to other MS-DRGs should be re-mapped.
    The requestor also suggested that CMS clarify the process by which 
interested parties can submit comments on potential or proposed 
procedure code mappings to the MS-DRGs for code proposals discussed at 
the Spring ICD-10 Coordination and Maintenance (C&M) Committee meeting 
since, given the timing, proposed code assignments are not published in 
association with the annual IPPS/LTCH PPS proposed rule. Specifically, 
the requestor stated there is no opportunity for interested parties to 
provide feedback to CMS about the assignment of new codes to Pre-MDC 
MS-DRG 018. The requestor stated that because MS-DRG 018 is a Pre-MDC 
MS-DRG with a limited number of procedure codes mapping to it, it is 
important for interested parties to have the ability to preview 
potential assignments to this MS-DRG and provide feedback to CMS prior 
to any final mapping decisions being made. The requestor acknowledged 
that CMS previously responded to prior comments regarding the process 
of commenting on the assignment of newly created codes; however, the 
requestor suggested that CMS provide additional clarification. 
Specifically, the requestor stated that the primary comment period with 
respect to the Spring procedure code requests is the timeframe 
following the ICD-10 C&M Committee meeting and that the materials 
provided in association with the meeting do not contain mapping 
requests submitted by the code requestor. The requestor indicated that 
if it is to assume any new procedure code request could potentially be 
mapped to Pre-MDC MS-DRG 018 and submits comments accordingly, that 
would create an undue burden. The requestor submitted the following 
questions regarding the process by which interested parties may submit 
comments on potential procedure code mappings to MS-DRGs:
     Can mapping requests be submitted as part of the request 
for a new ICD-10-PCS procedure code or do mapping requests need to go 
through the MS-DRG modification process with an annual October 
deadline?
     Can CMS provide information on mapping requests as part of 
the ICD-10 C&M Committee meeting materials?
     Will comments submitted to the ICD-10 C&M Committee about 
potential mappings be shared with the CMS teams associated with MS-DRG 
mapping decisions?
     Should interested parties include the same comments that 
are submitted to the ICD-10 C&M Committee in their proposed rule 
comments?
     Will comments submitted as part of the proposed rule be 
considered within scope for proposed codes presented during the spring 
meeting that are subsequently finalized but not listed in Table 6A.--
New Diagnosis codes and Table 6B.--New Procedure Codes with proposed 
mappings?
     Do CMS' prior responses indicate that interested parties 
who submit comments on procedure code mappings should request code 
proposals presented at the spring meeting be delayed until the fall 
meeting?
    The requestor recommended that CMS address the previously listed

[[Page 18016]]

questions and seek input on the process by which interested parties may 
submit comments on potential procedure code mappings.
    We appreciate the requestor's feedback and suggestions regarding 
the classification of therapies to Pre-MDC MS-DRG 018 and the broader 
topic of MS-DRG mappings of cell and gene therapy products for the 
future. In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69008 through 
69010), we summarized and responded to comments regarding the mapping 
of procedure codes describing the application of PZ and other newly 
established procedure codes to Pre-MDC MS-DRG 018. We note that we 
previously addressed similar comments in the FY 2023 IPPS/LTCH PPS 
final rule (87 FR 48806 through 48807), and we also noted that we 
provided detailed summaries and responses to these same or similar 
comments in the FY 2022 IPPS/LTCH PPS final rule (86 FR 44798 through 
44806). We also refer the reader to the discussion in section II.D. of 
this FY 2026 IPPS/LTCH PPS proposed rule, regarding the proposed 
relative weight methodology for cases mapping to Pre- MDC MS-DRG 018 
effective October 1, 2025, for FY 2026.
    With respect to the requestor's suggestion that a modification to 
the title of Pre-MDC MS-DRG 018 be proposed, we note that the requestor 
did not provide a specific recommendation for FY 2026 consideration; 
however, we acknowledge that there has been discussion related to 
requests to revise the title to Pre-MDC MS-DRG 018 in prior rulemaking, 
most recently in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69008 
through 69010), and we continue to be interested in obtaining input 
from members of the public on options to consider, recognizing there 
are additional types of cell and gene therapies now mapping to Pre-MDC 
MS-DRG 018. We will continue to review additional feedback and 
suggestions in connection with future rulemaking.
    In response to the requestor's assertion that there is no 
opportunity for interested parties to submit feedback about MS-DRG 
assignments, as we have discussed in prior rulemaking (87 FR 48807 
through 48808) and as noted in the request, interested parties may use 
current coding information as shown in the ICD-10 C&M Committee meeting 
materials to consider the potential MS-DRG assignments for any 
procedure codes that may be finalized after the Spring meeting and 
submit public comments for consideration. As we have noted in prior 
rulemaking, because the diagnosis and procedure code proposals that are 
presented at the Spring ICD-10-CM C&M Committee meeting for an October 
1 implementation (upcoming FY) are not finalized in time to include in 
Table 6A.--New Diagnosis Codes and Table 6B.--New Procedure Codes in 
association with the proposed rule, we use our established process to 
examine the MS-DRG assignment for the predecessor codes to determine 
the most appropriate MS-DRG assignment. Specifically, we review the 
predecessor code and MS-DRG assignment most closely associated with the 
new procedure code, and in the absence of claims data, we consider 
other factors that may be relevant to the MS-DRG assignment, including 
the severity of illness, treatment difficulty, complexity of service 
and the resources utilized in the diagnosis and/or treatment of the 
condition. We have noted in prior rulemaking that this process does not 
automatically result in the new procedure code being assigned to the 
same MS-DRG or to have the same designation (O.R. versus Non-O.R.) as 
the predecessor code. In response to the question regarding the 
inclusion of information on mapping requests as part of the ICD-10 C&M 
Committee meeting materials, we note that, as announced at each ICD-10 
C&M Committee meeting, there is no discussion of MS-DRGs, payment, 
coverage, or billing at the ICD-10 C&M Committee meetings; therefore, 
we do not include such information in the meeting materials made 
publicly available in association with the meeting. Rather, we state 
that any issues related to MS-DRGs or payment are addressed through 
IPPS rulemaking. The purpose of the ICD-10 C&M Committee meeting is to 
present code proposals based on requests received regarding coding 
updates (that is, additions, deletions, or revisions). Therefore, while 
mapping requests may be included in the submission of an ICD-10-PCS 
procedure code request, that information is not included in the meeting 
materials, nor is there any discussion about any mapping request(s) 
during the meeting.
    In response to the requestor's question regarding whether comments 
submitted to the ICD-10 C&M Committee about potential mappings are 
shared with the CMS staff associated with MS-DRG mapping decisions, we 
note that the comments are shared. With respect to whether interested 
parties should include the same comments submitted to the ICD-10 C&M 
Committee in the comments submitted in response to the proposed rule, 
we note that what comments to include and submit for each process is up 
to the commenter. In response to the question of whether comments 
submitted in response to the proposed rule would be considered within 
scope for proposed codes presented during the Spring meeting that are 
subsequently finalized but not listed in Table 6A.--New Diagnosis codes 
and Table 6B.--New Procedure Codes with proposed mappings, we note that 
the procedure code update files reflecting the newly finalized codes 
are made publicly available following the receipt and review of public 
comments received by the established deadline for the Spring coding 
topics, and that interested parties may choose to submit public 
comments on MS-DRG assignment for the agency's consideration. Lastly, 
in response to the question of whether interested parties considering 
submitting comments on procedure code mappings should request code 
proposals associated with the Spring meeting be delayed until the Fall 
meeting, we similarly note that the decision on what comments a 
commenter decides to include and submit in response to a code proposal 
is up to the commenter. We refer the reader to section II.C.11. of the 
preamble of this FY 2026 IPPS/LTCH PPS proposed rule for additional 
information regarding the ICD-10 C&M Committee meeting process.
    In connection with the comments and questions about how products 
are grouped under the IPPS MS-DRGs, specifically with respect to cell 
and gene therapies under Pre-MDC MS-DRG 018, for FY 2026, we also 
received a request to create a new neurosurgical gene therapy MS-DRG to 
more accurately reflect the clinical characteristics and resource 
intensity required for the administration of neurosurgical gene 
therapies, including eladocagene exuparvovec, for patients diagnosed 
with Aromatic L-amino acid decarboxylase (AADC) deficiency. We refer 
the reader to the FY 2022 IPPS/LTCH PPS final rule (86 FR 44895) and 
the FY 2023 IPPS/LTCH PPS final rule (87 FR 48853 through 48854) for 
discussion regarding eladocagene exuparvovec.
    The requestor (the manufacturer), expressed its appreciation for 
CMS' efforts to reassign cases reporting procedure code XW0Q316 
(Introduction of eladocagene exuparvovec into cranial cavity and brain, 
percutaneous approach, new technology group 6) to a surgical MS-DRG as 
discussed in the FY 2022 IPPS/LTCH PPS final rule (86 FR 44895). 
According to the requestor, the decision appropriately reclassified 
cases involving eladocagene exuparvovec from a Non-O.R. procedure to an 
operating room (O.R.) procedure due to

[[Page 18017]]

the requirement for intraputaminal administration via a burr hole in 
the skull. However, the requestor did not agree with the current 
assignment to MS-DRGs 628, 629, and 630 (Other Endocrine, Nutritional 
and Metabolic O.R. Procedures with MCC, with CC, and without CC/MCC, 
respectively) in MDC 10, or MS-DRGs 987, 988, and 989 (Non-Extensive 
O.R. Procedure Unrelated to Principal Diagnosis with MCC, with CC, and 
without MCC/CC, respectively). According to the requestor, the clinical 
characteristics and average costs of the cases currently assigned to 
MS-DRGs 628, 629, and 630 are significantly different from those 
associated with eladocagene exuparvovec neurosurgical gene therapy for 
rare disease.
    The requestor stated that CMS denied the request to create a new 
MS-DRG for FY 2023, stating that it would continue to explore 
appropriate mechanisms to address low volume MS-DRGs indicated for rare 
diseases; however, after receiving responses to the Request for 
Information (RFI), the requestor stated that there have not been any 
changes proposed to the IPPS. The requestor stated its belief that 
assigning cases for this gene therapy and the rare disease indicated to 
a new MS-DRG is both appropriate and warranted. According to the 
requestor, the current MS-DRGs that eladocagene exuparvovec cases group 
to do not adequately reflect the clinical characteristics or resource 
needs associated with treatment which may deter hospitals from 
providing this therapy.
    The requestor also stated there are approximately 68 gene therapy 
trials in the U.S. for central nervous system disorders for which over 
30 of the 68 trials involve the gene therapy being administered 
directly into the brain parenchyma. According to the requestor, gene 
therapies administered surgically, including with neurosurgery, are 
extremely complicated, resource-intensive procedures for hospitals to 
undertake. These procedures require highly specialized surgeons, 
surgical equipment, and staff. Patients undergoing these procedures may 
also require continuous monitoring and longer hospital stays. The 
requestor stated the more intensive needs of these patients are not 
adequately captured in existing MS-DRGs and the creation of a new MS-
DRG for neurosurgical gene therapy would help CMS proactively shape 
payment policy for this evolving class of therapies, thus allowing 
appropriate payment to support patient access to these treatments.
    Our analysis of the September 2024 update of the FY 2024 MedPAR 
file yielded zero cases reporting the administration of eladocagene 
exuparvovec, therefore, we believe it would be premature to consider 
the creation of a new neurosurgical gene therapy MS-DRG at this time. 
We appreciate the detailed clinical information that the requestor 
provided and acknowledge that cases involving neurosurgery are 
technically complex and that patients undergoing these procedures tend 
to be critically ill, many with rare diseases.
    We note that we did receive a new procedure code request to 
identify and describe the Smartflow[supreg] Neuro Cannula as the 
delivery mechanism to administer eladocagene exuparvovec that was 
included as a topic in the Spring 2025 ICD-10 Coordination and 
Maintenance Committee Update materials. We refer the reader to the CMS 
website at: https://www.cms.gov/Medicare/Coding/ICD10/C-and-M-Meeting-Materials for additional detailed information regarding the request, 
and the related materials.
    We continue to welcome additional feedback and comments on other 
options to consider on how to appropriately address low volume, high-
cost treatments for rare diseases.
    We also note, as discussed in prior rulemaking, that this category 
of therapies continues to evolve, and we are in the process of 
carefully considering the feedback we have previously received about 
ways in which we can continue to appropriately reflect resource 
utilization while maintaining clinical coherence and stability in the 
relative weights under the IPPS MS-DRGs. We appreciate the 
recommendations and suggestions for consideration we have received and 
will continue to examine these complex issues in connection with future 
rulemaking. We acknowledge that there may be distinctions to account 
for as we continue to gain more experience in the use of these 
therapies and have additional claims data to analyze.
3. MDC 01 (Diseases and Disorders of the Nervous System)
a. Logic for MS-DRGs 023 Through 027
    For this FY 2026 IPPS/LTCH PPS proposed rule, we received three 
separate but related requests to review the MS-DRG assignments for a 
subset of procedures assigned to MS-DRGs 023 through 027. In this 
section of the preamble of this FY 2026 IPPS/LTCH PPS proposed rule, we 
discuss each of these separate, but related requests.
    The first request was to create a new MS-DRG for cases involving 
``chemotherapy implants'' and cases involving ``epilepsy with 
neurostimulator.'' The requestor noted chemotherapy implants are used 
to treat patients with brain tumors. They are implanted into the brain 
during the craniotomy procedure at the time of tumor resection. Upon 
implantation, these devices immediately release radiation or 
chemotherapeutic agents. This approach enables treatment to be 
initiated at the time of tumor resection without undue delay. 
``Epilepsy with neurostimulator'' cases involve devices used in the 
treatment of medically intractable epilepsy. The neurostimulator is 
implanted in the skull via a craniotomy and is connected to electrodes 
that are implanted on the surface of the brain or in the brain through 
either a craniotomy or a burr hole(s). According to the requestor, like 
the procedure to insert a chemotherapy implant, the craniotomy 
procedure to insert the neurostimulator lead is performed under general 
anesthesia and the procedure typically takes four hours.
    The requestor performed their own analysis of Medicare claims data 
and stated they found that the average costs of cases involving 
chemotherapy implants and cases involving epilepsy with 
neurostimulators are significantly higher than the average costs of 
other procedures currently grouped within MS-DRG 023. The requestor 
asserted that as a result, these cases are not being adequately paid 
under the current MS-DRG. Therefore, given the limited options within 
the existing MS-DRG structure, the requestor recommended that CMS 
extract cases reporting the insertion of a chemotherapy implant and 
cases reporting a neurostimulator generator inserted into the skull 
with the insertion of a neurostimulator lead into the brain, and a 
principal diagnosis of epilepsy from MS-DRG 023 and create a new MS-DRG 
for these cases with a payment rate that better aligns with the 
resource utilization associated with these procedures. The requestor 
stated that this recommendation appeared to be reasonable, given that 
CMS has already determined that these two subsets of cases are 
clinically coherent by virtue of them being currently assigned to the 
same MS-DRG.
    To begin our analysis, we reviewed the GROUPER logic for MS-DRGs 
023 and 024. The requestor is correct that currently, cases involving 
``chemotherapy implants'' and cases involving ``epilepsy with 
neurostimulator'' are assigned to the higher severity level MS-DRG 023. 
MS-

[[Page 18018]]

DRGs 023 and 024 contain a logic list referred to as ``Chemotherapy 
Implant.'' This logic list includes the following four ICD-10-PCS 
codes:

------------------------------------------------------------------------
    ICD-10-PCS code                        Description
------------------------------------------------------------------------
00H004Z................  Insertion of radioactive element, cesium-131
                          collagen implant into brain, open approach.
3E0Q005................  Introduction of other antineoplastic into
                          cranial cavity and brain, open approach.
3E0Q305................  Introduction of other antineoplastic into
                          cranial cavity and brain, percutaneous
                          approach.
3E0Q705................  Introduction of other antineoplastic into
                          cranial cavity and brain, via natural or
                          artificial opening.
------------------------------------------------------------------------

    The ``Chemotherapy Implant'' logic list was created for cases 
reporting the implantation of a chemotherapeutic agent and devices 
implanted in the brain, such as implantable chemotherapeutic wafers. 
Additionally, MS-DRGs 023 and 024 contain a logic list referred to as 
``Epilepsy Principal Diagnosis'' that includes 58 ICD-10-CM diagnosis 
codes that describe epilepsy, and a logic list referred to as 
``Neurostimulator'' that includes the following three ICD-10-PCS 
procedure code combinations:
     0NH00NZ (Insertion of neurostimulator generator into 
skull, open approach), in combination with 00H00MZ (Insertion of 
neurostimulator lead into brain, open approach);
     0NH00NZ (Insertion of neurostimulator generator into 
skull, open approach), in combination with 00H03MZ (Insertion of 
neurostimulator lead into brain, percutaneous approach); and
     0NH00NZ (Insertion of neurostimulator generator into 
skull, open approach), in combination with 00H04MZ (Insertion of 
neurostimulator lead into brain, percutaneous endoscopic approach).
    These two logic lists were created to capture cases involving the 
use of the RNS[supreg] neurostimulator, a treatment option for persons 
diagnosed with medically intractable epilepsy. The RNS[supreg] 
neurostimulator includes a cranially implanted programmable 
neurostimulator connected to one or two depth and/or subdural cortical 
strip leads that are surgically placed in or on the brain at the 
seizure focus. The implanted neurostimulator continuously monitors 
brain electrical activity and is programmed by a physician to detect 
abnormal patterns of electrical activity that the physician believes 
may lead to seizures (epileptiform activity).
    We refer the reader to the ICD-10 MS-DRG Definitions Manual, 
Version 42.1 (available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software) for complete documentation of the 
GROUPER logic for MS-DRGs 023 and 024.
    We then examined claims data from the September 2024 update of the 
FY 2024 MedPAR file for all cases in MS-DRG 023 and compared the 
results to cases reporting one of the four procedure codes that appear 
under the logic list referred to as ``Chemotherapy Implant'' in MS-DRG 
023 and for all cases reporting a neurostimulator generator inserted 
into the skull with the insertion of a neurostimulator lead into the 
brain (including cases involving the use of the RNS[supreg] 
neurostimulator), and a principal diagnosis of epilepsy. The following 
table shows our findings:

  MS-DRG 023--All Cases Compared to Cases Reporting the Insertion of a
  Chemotherapy Implant and Cases Reporting a Neurostimulator Generator
  Inserted Into the Skull With the Insertion of a Neurostimulator Lead
          Into the Brain and a Principal Diagnosis of Epilepsy
------------------------------------------------------------------------
                                                     Average
                MS-DRG                   Number of  length of   Average
                                           cases       stay      costs
------------------------------------------------------------------------
MS-DRG 023--All cases.................      12,136         10    $51,132
Cases reporting the insertion of a             176        6.4     49,743
 chemotherapy implant.................
Cases with principal diagnosis of               68        2.4     66,303
 epilepsy with neurostimulator
 generator inserted into the skull and
 insertion of a neurostimulator lead
 into brain...........................
------------------------------------------------------------------------

    As shown in the table, for MS-DRG 023, we identified a total of 
12,136 cases, with an average length of stay of 10 days and average 
costs of $51,132. Of the 12,136 cases in MS-DRG 023, there were 176 
cases reporting the insertion of a chemotherapy implant with an average 
length of stay of 6.4 days and average costs of $49,743. Additionally, 
there were 68 cases describing a neurostimulator generator inserted 
into the skull with the insertion of a neurostimulator lead into the 
brain (including cases involving the use of the RNS[supreg] 
neurostimulator) that had a principal diagnosis of epilepsy with an 
average length of stay of 2.4 days and average costs of $66,303.
    As the data show, the 68 cases in MS-DRG 023 describing a 
neurostimulator generator inserted into the skull with the insertion of 
a neurostimulator lead into the brain (including cases involving the 
use of the RNS[supreg] neurostimulator) and a principal diagnosis of 
epilepsy have average costs that are higher than the average costs of 
all cases in MS-DRG 023 ($66,303 compared to $51,132), and they have an 
average length of stay that is shorter (2.4 days compared to 10 days). 
The 176 cases in MS-DRG 023 reporting the insertion of a chemotherapy 
implant have average costs that are lower than the average costs of all 
cases in MS-DRG 023 ($49,743 compared to $51,132), and they have an 
average length of stay that is shorter (6.4 days compared to 10 days).
    We reviewed the claims data, and do not believe the data support 
creating a new MS-DRG for cases reporting the insertion of a 
chemotherapy implant and cases describing a neurostimulator generator 
inserted into the skull with the insertion of a neurostimulator lead 
into the brain (including cases involving the use of the RNS[supreg] 
neurostimulator) and a principal diagnosis of epilepsy. The results of 
the claims analysis as

[[Page 18019]]

previously summarized indicate the cases reporting the insertion of a 
chemotherapy implant demonstrate comparable resource utilization with 
other cases in their currently assigned MS-DRG. Further, the claims 
data analysis indicates that these two subsets of cases, that is cases 
reporting the insertion of a chemotherapy implant and cases describing 
a neurostimulator generator inserted into the skull with the insertion 
of a neurostimulator lead into the brain (including cases involving the 
use of the RNS[supreg] neurostimulator) and a principal diagnosis of 
epilepsy and cases reporting the insertion of a chemotherapy implant, 
do not demonstrate comparable resource utilization. The cases in MS-DRG 
023 reporting the insertion of a chemotherapy implant have average 
costs that are lower than the average costs of cases describing a 
neurostimulator generator inserted into the skull with the insertion of 
a neurostimulator lead into the brain and a principal diagnosis of 
epilepsy ($49,743 compared to $66,303), and they have an average length 
of stay that is longer (6.4 days compared to 2.4 days).
    Therefore, based on review of the claims data, we are not proposing 
to create a new-MS-DRG for cases reporting the insertion of a 
chemotherapy implant and cases describing a neurostimulator generator 
inserted into the skull with the insertion of a neurostimulator lead 
into the brain (including cases involving the use of the RNS[supreg] 
neurostimulator) and a principal diagnosis of epilepsy for FY 2026. 
However, while our analysis of the claims data does not support 
creating a new MS-DRG for cases reporting the insertion of a 
chemotherapy implant and cases describing a neurostimulator generator 
inserted into the skull with the insertion of a neurostimulator lead 
into the brain (including cases involving the use of the RNS[supreg] 
neurostimulator) and a principal diagnosis of epilepsy, as discussed, 
cases describing a neurostimulator generator inserted into the skull 
with the insertion of a neurostimulator lead into the brain (including 
cases involving the use of the RNS[supreg] neurostimulator) and a 
principal diagnosis of epilepsy have average costs that are higher than 
the average costs of all cases in MS-DRG 023, with a shorter average 
length of stay. Accordingly, we determined that further analysis of 
cases reporting a neurostimulator generator inserted into the skull 
with the insertion of a neurostimulator lead into the brain (including 
cases involving the use of the RNS[supreg] neurostimulator), and a 
principal diagnosis of epilepsy is needed in conjunction with the 
separate but related requests we received to review the MS-DRG 
assignments for a subset of procedures also assigned to MS-DRGs 023 
through 027 for this FY 2026 IPPS/LTCH PPS proposed rule to ensure 
clinical coherence between these cases and the other cases with which 
they may potentially be grouped, as discussed later in this section.
    As noted previously, MS-DRGs 023 and 024 contain a logic list 
referred to as ``Chemotherapy Implant'' that includes the following 
four ICD-10-PCS codes:

------------------------------------------------------------------------
    ICD-10-PCS code                        Description
------------------------------------------------------------------------
00H004Z................  Insertion of radioactive element, cesium-131
                          collagen implant into brain, open approach.
3E0Q005................  Introduction of other antineoplastic into
                          cranial cavity and brain, open approach.
3E0Q305................  Introduction of other antineoplastic into
                          cranial cavity and brain, percutaneous
                          approach.
3E0Q705................  Introduction of other antineoplastic into
                          cranial cavity and brain, via natural or
                          artificial opening.
------------------------------------------------------------------------

    During our review of the GROUPER logic for MS-DRGs 023 and 024, we 
identified that the following four ICD-10-PCS procedure codes 
describing the insertion of a radioactive element were inadvertently 
excluded from the ``Chemotherapy Implant'' logic list:

------------------------------------------------------------------------
    ICD-10-PCS code                        Description
------------------------------------------------------------------------
00H001Z................  Insertion of radioactive element into brain,
                          open approach.
00H005Z................  Insertion of radioactive element, palladium-103
                          collagen implant into brain, open approach.
00H031Z................  Insertion of radioactive element into brain,
                          percutaneous approach.
00H041Z................  Insertion of radioactive element into brain,
                          percutaneous endoscopic approach.
------------------------------------------------------------------------

    In review of this finding, we analyzed claims data from the 
September 2024 update of the FY 2024 MedPAR file for MS-DRGs 023, 024, 
025, 026, and 027 for all cases and for cases reporting procedure codes 
00H001Z, 00H005Z, 00H031Z, or 00H041Z. The findings from our analysis 
are shown in the following table.

----------------------------------------------------------------------------------------------------------------
                                                                                          Average
              MS-DRG                                                        Number of    length of     Average
                                                                              cases         stay        costs
----------------------------------------------------------------------------------------------------------------
023...............................  All cases............................       12,136           10      $51,132
                                    Cases reporting 00H001Z, 00H005Z,                0            0            0
                                     00H031Z, or 00H041Z.
024...............................  All cases............................        4,624            5       35,516
                                    Cases reporting 00H001Z, 00H005Z,                0  ...........            0
                                     00H031Z, or 00H041Z.
025...............................  All cases............................       21,059          8.6       40,215
                                    Cases reporting 00H001Z, 00H005Z,                4          3.8       40,199
                                     00H031Z, or 00H041Z.
026...............................  All cases............................        5,833          4.1       28,404
                                    Cases reporting 00H001Z, 00H005Z,                0            0            0
                                     00H031Z, or 00H041Z.
027...............................  All cases............................        7,049          1.9       23,059
                                    Cases reporting 00H001Z, 00H005Z,                0            0            0
                                     00H031Z, or 00H041Z.
----------------------------------------------------------------------------------------------------------------


[[Page 18020]]

    As the data show, we found four cases reporting procedure code 
00H001Z, 00H005Z, 00H031Z, or 00H041Z in MS-DRG 025, with average costs 
of $40,199 and an average length of stay of 3.8 days. We reviewed this 
issue and note radioactive elements are inserted into the brain to 
deliver a targeted concentrated dose of radiation directly to a brain 
tumor or tumor bed. They are primarily used to treat recurrent brain 
metastases or other aggressive brain cancers, as it allows for high-
dose radiation delivery specifically to the tumor site while minimizing 
damage to surrounding healthy brain tissue. Although we did not 
identify many cases, we believe the four procedure codes describing the 
insertion of a radioactive element into the brain are clinically 
aligned with the procedure codes currently included in the 
``Chemotherapy Implant'' logic list in MS-DRGs 023 and 024.
    Therefore, for clinical consistency we are proposing to add 
procedure codes 00H001Z, 00H005Z, 00H031Z, and 00H041Z to the 
``Chemotherapy Implant'' logic list in MS-DRGs 023 and 024, effective 
October 1, 2025, for FY 2026. We are also proposing to change the 
description of the logic list in MS-DRGs 023 and 024 from 
``Chemotherapy Implant'' to ``Antineoplastic Implant'' to better 
reflect the GROUPER logic that includes ICD-10-PCS procedure codes 
describing antineoplastic agents implanted in the brain.
    As mentioned previously, for this FY 2026 IPPS/LTCH PPS proposed 
rule, we received three separate but related requests to review and 
reconsider the MS-DRG assignments for a subset of procedures assigned 
to MS-DRGs 023 through 027. The second and third request involve the 
MS-DRG assignment of cases reporting procedure codes describing the 
insertion of deep brain stimulators (DBS). Deep brain stimulation is a 
surgical treatment that involves the implantation of a neurostimulator, 
used in the treatment of essential tremor, Parkinson's disease, 
dystonia, epilepsy, obsessive-compulsive disorder and chronic pain. A 
DBS system consists of one or two leads that are placed 
stereotactically at defined targets deep within the brain via one or 
two burr holes created in the skull. The lead is then connected to an 
extension that is tunneled under the skin, down the neck, and connected 
to a programmable neurostimulator generator that is placed under the 
skin.
    The second request we received was to reassign cases reporting the 
implantation of a DBS system from the lower (without MCC) severity 
level MS-DRG 024 to the higher (MCC) severity level MS-DRG 023, even if 
there is no MCC reported. The requestor suggested that if finalized, 
the title for MS-DRG 023 should be revised to reflect ``Craniotomy with 
Acute Complex Central Nervous System Principal Diagnosis with MCC or 
Chemotherapy Implant or Major Device Implant or Epilepsy with 
Neurostimulator.''
    The requestor performed their own analysis and stated they found 
that the majority of cases reporting the implantation of a DBS system 
are assigned to the lower severity level MS-DRG 024. The requestor also 
stated that in their analysis, the cases reporting the implantation of 
a DBS system assigned to MS-DRG 024 have average costs that are 20% 
greater than all cases in MS-DRG 024. The requestor asserted that 
reassigning cases reporting the implantation of a DBS system from the 
lower (without MCC) severity level MS-DRG 024 to the higher (with MCC) 
severity level MS-DRG 023, even if there is no MCC reported, would 
better recognize hospital resource utilization when the DBS systems are 
inserted.
    The requestor identified cases reporting the implantation of a DBS 
system by the presence of the following procedure code combinations:
     0JH60DZ (Insertion of multiple array stimulator generator 
into chest subcutaneous tissue and fascia, open approach), in 
combination with 00H00MZ (Insertion of neurostimulator lead into brain, 
open approach);
     0JH60DZ (Insertion of multiple array stimulator generator 
into chest subcutaneous tissue and fascia, open approach), in 
combination with 00H03MZ (Insertion of neurostimulator lead into brain, 
percutaneous approach);
     0JH60EZ (Insertion of multiple array rechargeable 
stimulator generator into chest subcutaneous tissue and fascia, open 
approach), in combination with 00H00MZ (Insertion of neurostimulator 
lead into brain, open approach); and
     0JH60EZ (Insertion of multiple array rechargeable 
stimulator generator into chest subcutaneous tissue and fascia, open 
approach), in combination with 00H03MZ (Insertion of neurostimulator 
lead into brain, percutaneous approach).
    To begin our analysis, we again reviewed the GROUPER logic for MS-
DRGs 023 and 024. The GROUPER logic for MS-DRGs 023 and 024 also 
contains 78 procedure code combinations representing the insertion of 
neurostimulator generator and a neurostimulator lead that are captured 
under a list referred to as ``Major Device Implant.'' The procedure 
codes describing the insertion of a neurostimulator generator on this 
list describe insertion of the neurostimulator generator into the 
subcutaneous areas of the chest, back, or abdomen, as well as into the 
skull. The procedure codes describing the insertion of a 
neurostimulator lead describe the insertion of the lead into the brain 
or the cerebral ventricle. We refer the reader to the ICD-10 MS-DRG 
Definitions Manual, Version 42.1 (available on the CMS website at: 
https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software) for complete 
documentation of the GROUPER logic for MS-DRGs 023 and 024.
    In our analysis of this issue, we agree that the four procedure 
code combinations discussed previously that were identified by this 
requestor are included in the ``Major Device Implant'' logic list of 
MS-DRGs 023 and 024, but we note that 32 additional procedure code 
combinations exist on the ``Major Device Implant'' logic list that also 
describe the implantation of a DBS system by describing the insertion 
of a neurostimulator generator into the subcutaneous areas of the 
chest, back, or abdomen in combination with a code describing the 
insertion of a neurostimulator lead into the brain. We refer the reader 
to Table 6P.2a associated with this FY 2026 IPPS/LTCH PPS proposed rule 
(and available at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps) for the list of the 36 ICD-10-PCS 
procedure code combinations in the logic of MS-DRGs 023 and 024 in the 
``Major Device Implant'' logic list that we identified that describe 
the implantation of a DBS system and therefore were included in our 
analysis.
    We then examined claims data from the September 2024 update of the 
FY 2024 MedPAR file for all cases in MS-DRGs 023 and 024 and compared 
the results to cases reporting the implantation of a DBS system by 
reporting a procedure code combination that describes the insertion of 
a neurostimulator generator into the subcutaneous areas of the chest, 
back, or abdomen in combination with a code describing the insertion of 
a neurostimulator lead into the brain. The following table shows our 
findings:

[[Page 18021]]



   MS-DRGs 023 and 024--All Cases Compared to Cases Reporting the Insertion of a Deep Brain Stimulation System
----------------------------------------------------------------------------------------------------------------
                                                                                      Average
                             MS-DRG                                  Number of      length  of    Average  costs
                                                                       cases           stay
----------------------------------------------------------------------------------------------------------------
MS-DRG 023--All cases...........................................          12,136              10         $51,132
Cases reporting the implantation of a DBS system................              26             8.3          81,947
MS-DRG 024--All cases...........................................           4,624               5          35,516
Cases reporting the implantation of a DBS system................             432             1.7          43,032
----------------------------------------------------------------------------------------------------------------

    As shown in the table, for MS-DRG 023, we identified a total of 
12,136 cases, with an average length of stay of 10 days and average 
costs of $51,132. Of the 12,136 cases in MS-DRG 023, there were 26 
cases reporting the implantation of a DBS system with an average length 
of stay of 8.3 days and average costs of $81,947. For MS-DRG 024, we 
identified a total of 4,624 cases, with an average length of stay of 5 
days and average costs of $35,516. Of the 4,624 cases in MS-DRG 024, 
there were 432 cases reporting the implantation of a DBS system with an 
average length of stay of 1.7 days and average costs of $43,032.
    We reviewed the claims data, and the data do not support 
reassignment of the cases reporting the implantation of a DBS system 
from MS-DRG 024 to MS-DRG 023 even if there is no MCC reported. The 
results of the claims analysis as previously summarized indicate the 
cases reporting the implantation of a DBS system, without reporting a 
secondary diagnosis designated as an MCC, that are currently assigned 
to MS-DRG 024, have average costs that are lower than the average costs 
of all cases in MS-DRG 023 ($43,032 compared to $51,132), and they have 
an average length of stay that is shorter (1.7 days compared to 10 
days). While the average costs of these cases are higher than the 
average costs of all cases in MS-DRG 024 ($43,032 compared to $35,516), 
we believe it would not be appropriate to reassign these cases into the 
higher severity level MS-DRG 023, even if there is no MCC reported, 
because the cases would not be coherent with regard to resource 
utilization. The cases reporting the implantation of a DBS system, 
without reporting a secondary diagnosis designated as an MCC, that are 
currently assigned to MS-DRG 024 have average costs that are $8,100 
lower than the average costs of all cases in MS-DRG 023. Therefore, we 
are not proposing to reassign cases reporting the implantation of a DBS 
system from the lower (without MCC) severity level MS-DRG 024 to the 
higher (with MCC) severity level MS-DRG 023, even if there is no MCC 
reported. However, while the analysis of the claims data does not 
support reassigning the cases reporting the implantation of a DBS 
system from the lower (without MCC) severity level MS-DRG 024 to the 
higher (MCC) severity level MS-DRG 023 even if there is no MCC 
reported, as discussed, our analysis of the claims data found the 
average costs of the cases reporting the implantation of a DBS system 
are higher than all cases in their respective MS-DRGs, while the 
average lengths of stay are shorter. Accordingly, and as discussed 
later in this section, we determined that further analysis of cases 
reporting the implantation of a DBS system is needed in conjunction 
with the separate but related requests we received to review the MS-DRG 
assignments for a subset of procedures also assigned to MS-DRGs 023 
through 027 for this FY 2026 IPPS/LTCH PPS proposed rule to ensure 
clinical coherence between these cases and the other cases with which 
they may potentially be grouped.
    The third request we received was to have all cases reporting the 
concomitant insertion of a DBS generator and lead assigned to MS-DRGs 
023 and 024. This requestor performed their own analysis and stated 
they found 76 claims reporting procedure codes describing the insertion 
of a DBS generator and a lead assigned to MS-DRGs 026 and 027 
(Craniotomy and Endovascular Intracranial Procedures with CC, and 
without CC/MCC, respectively) and found that the average costs of these 
cases were 54% and 63% higher than the average of all cases in MS-DRGs 
026 and 027, respectively. The requestor stated that placement of a 
complete DBS system, which requires placement of both the generator and 
the lead, during a single procedure, appears to be an efficacious and 
well-tolerated procedure. The requestor asserted that the relatively 
low reimbursement in MS-DRGs 026 and 027 can limit patient access to a 
single stage procedure.
    This requestor identified cases reporting the implantation of a DBS 
system by the presence of the following procedure code combinations:
     0JH60DZ (Insertion of multiple array stimulator generator 
into chest subcutaneous tissue and fascia, open approach), in 
combination with 00H00MZ (Insertion of neurostimulator lead into brain, 
open approach);
     0JH60DZ (Insertion of multiple array stimulator generator 
into chest subcutaneous tissue and fascia, open approach), in 
combination with 00H03MZ (Insertion of neurostimulator lead into brain, 
percutaneous approach);
     0JH60EZ (Insertion of multiple array rechargeable 
stimulator generator into chest subcutaneous tissue and fascia, open 
approach), in combination with 00H00MZ (Insertion of neurostimulator 
lead into brain, open approach); and
     0JH60EZ (Insertion of multiple array rechargeable 
stimulator generator into chest subcutaneous tissue and fascia, open 
approach), in combination with 00H03MZ (Insertion of neurostimulator 
lead into brain, percutaneous approach);
     0JH60BZ (Insertion of single array stimulator generator 
into chest subcutaneous tissue and fascia, open approach), in 
combination with 00H00MZ (Insertion of neurostimulator lead into brain, 
open approach); and
     0JH60BZ (Insertion of single array stimulator generator 
into chest subcutaneous tissue and fascia, open approach), in 
combination with 00H03MZ (Insertion of neurostimulator lead into brain, 
percutaneous approach).
    To begin our analysis, we again reviewed the GROUPER logic for MS-
DRG 023 and 024. As mentioned previously, the GROUPER logic for MS-DRGs 
023 and 024 contains 78 procedure code combinations representing the 
insertion of neurostimulator generator and a neurostimulator lead that 
are captured under a list referred to as ``Major Device Implant.'' The 
procedure codes describing the insertion of a neurostimulator generator 
on this list describe insertion of the neurostimulator generator into 
the subcutaneous areas of the chest, back, or abdomen, as well as into 
the skull.

[[Page 18022]]

    In reviewing this request, we noted that the procedure code 
combinations in MS-DRG 023 and 024 captured under the ``Major Device 
Implant'' logic list that describe the insertion of a neurostimulator 
generator into the subcutaneous areas of the chest, back, or abdomen, 
all describe the insertion of a multiple array stimulator generator or 
a rechargeable multiple array stimulator generator. Procedure code 
combinations describing the insertion of a single array stimulator 
generator or a rechargeable single array stimulator generator into the 
subcutaneous areas of the chest, back, or abdomen and a neurostimulator 
lead are not captured under the ``Major Device Implant'' logic list, 
therefore MS-DRGs 025, 026, and 027 (Craniotomy and Endovascular 
Intracranial Procedures with MCC, with CC, and without CC/MCC, 
respectively) are assigned based on the reporting of the ICD-10-PCS 
procedure code describing the insertion of the neurostimulator into the 
brain. We refer the reader to the ICD-10 MS-DRG Definitions Manual, 
Version 42.1 (available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software) for complete documentation of the 
GROUPER logic for MS-DRGs 023, 024, 025, 026, and 027.
    We identified 36 ICD-10-PCS procedure code combinations that would 
describe the implantation of a DBS system with a single array 
stimulator generator or a rechargeable single array stimulator 
generator and the insertion of a neurostimulator lead into the brain. 
We refer the reader to Table 6P.2b associated with this FY 2026 IPPS/
LTCH PPS proposed rule (and available at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps) for the list 
of the 36 ICD-10-PCS procedure code combinations we identified that 
describe the implantation of a DBS system with a single array 
stimulator generator or a rechargeable single array stimulator 
generator and the insertion of a neurostimulator lead into the brain.
    We then examined claims data from the September 2024 update of the 
FY 2024 MedPAR file for all cases in MS-DRGs 025, 026, and 027 and 
compared the results to cases reporting a procedure code combination 
that describes the insertion of a single array stimulator generator or 
a rechargeable single array stimulator generator into the subcutaneous 
areas of the chest, back, or abdomen in combination with a code 
describing the insertion of a neurostimulator lead into the brain. The 
following table shows our findings:

 MS-DRGs 025, 026, and 027--All Cases Compared to Cases Reporting the Insertion of a Single Array Generator and
                                  Insertion of Neurostimulator Lead Into Brain
----------------------------------------------------------------------------------------------------------------
                                                                                      Average
                             MS-DRG                                  Number of      length  of    Average  costs
                                                                       cases           stay
----------------------------------------------------------------------------------------------------------------
MS-DRG 025--All cases...........................................          21,059             8.6         $40,215
Cases reporting the insertion of a single array generator and                  5               5          73,168
 insertion of neurostimulator lead into brain...................
MS-DRG 026--All cases...........................................           5,833             4.1          28,404
Cases reporting the insertion of a single array generator and                 25             2.3          42,002
 insertion of neurostimulator lead into brain...................
MS-DRG 027--All cases...........................................           7,049             1.9          23,059
Cases reporting the insertion of a single array generator and                 78             1.4          39,381
 insertion of neurostimulator lead into brain...................
----------------------------------------------------------------------------------------------------------------

    As shown in the table, for MS-DRG 025, we identified a total of 
21,059 cases, with an average length of stay of 8.6 days and average 
costs of $40,215. Of those 21,059 cases, there were 5 cases reporting 
the insertion of a single array generator and insertion of 
neurostimulator lead into brain with average costs higher than the 
average costs in the FY 2024 MedPAR file for MS-DRG 025 ($73,168 
compared to $40,215) and a shorter average length of stay (5 days 
compared to 8.6 days). In MS-DRG 026, we identified a total of 5,833 
cases, with an average length of stay of 4.1 days and average costs of 
$28,404. Of the 5,833 cases in MS-DRG 026, there were 25 cases 
reporting the insertion of a single array generator and insertion of 
neurostimulator lead into brain with average costs higher than the 
average costs in the FY 2024 MedPAR file for MS-DRG 026 ($42,002 
compared to $28,404) and a shorter average length of stay (2.3 days 
compared to 4.1 days). In MS-DRG 027, we identified a total of 7,049 
cases, with an average length of stay of 1.9 days and average costs of 
$23,059. Of the 7,049 cases in MS-DRG 027, there were 78 cases 
reporting the insertion of a single array generator and insertion of 
neurostimulator lead into brain with average costs higher than the 
average costs in the FY 2024 MedPAR file for MS-DRG 027 ($39,381 
compared to $23,059) and a shorter average length of stay (1.4 days 
compared to 1.9 days). As the data show, the cases in MS-DRGs 025, 026, 
and 027 reporting the insertion of a single array generator and 
insertion of neurostimulator lead into brain have average costs that 
are higher than the average costs of all cases in their respective MS-
DRGs.
    We reviewed the clinical issues and note a deep brain stimulator 
typically has one or two leads implanted in the brain, depending on 
whether one or both sides of the brain need treatment. A single array 
stimulator generator has one port where one lead can be connected. A 
multiple array stimulator generator has two or more ports where two or 
more leads can be connected. We believe the procedure code combinations 
that describe the insertion of a single array stimulator generator or a 
rechargeable single array stimulator generator into the subcutaneous 
areas of the chest, back, or abdomen in combination with a code 
describing the insertion of a neurostimulator lead into the brain are 
clinically coherent with the procedure code combinations in MS-DRG 023 
and 024 captured under the ``Major Device Implant'' logic list that 
describe the insertion of a multiple array stimulator generator or a 
rechargeable multiple array stimulator generator into the subcutaneous 
areas of the chest, back, or abdomen in combination with a code 
describing the insertion of a neurostimulator lead into the brain.
    To determine how the resources for this subset of cases compared to 
cases in MS-DRGs 023 and 024 as a whole, we examined the average costs 
and length of stay for cases in MS-DRGs 023 and 024. Our findings are 
shown in this table.

[[Page 18023]]



----------------------------------------------------------------------------------------------------------------
                                                                                      Average
                             MS-DRG                                  Number of      length  of    Average  costs
                                                                       cases           stay
----------------------------------------------------------------------------------------------------------------
MS-DRG 023--All cases...........................................          12,136              10         $51,132
MS-DRG 024--All cases...........................................           4,624               5          35,516
----------------------------------------------------------------------------------------------------------------

    We reviewed the data and note the cases in MS-DRGs 025, 026, and 
027 reporting the insertion of a single array generator and insertion 
of neurostimulator lead into brain have average costs that are higher 
and the average length of stay is shorter than all cases in MS-DRGs 023 
and 024. We agree with the requestor that cases reporting the insertion 
of a single array generator and insertion of neurostimulator lead into 
brain are more resource intensive and are clinically distinct from 
other cases currently assigned to MS-DRGs 025, 026, and 027. However, 
we do not believe proposing to reassign all cases reporting the 
procedure code combination describing a single array generator and 
insertion of neurostimulator lead into brain to MS-DRGs 023 and 024, 
would fully address the difference in resource utilization in these 
cases.
    To explore other mechanisms to address this request, we then 
reexamined the separate but related requests discussed previously to 
review the MS-DRG assignments for a subset of procedures assigned to 
MS-DRGs 023 through 027. In examining these requests, we note that the 
first request was to reassign cases involving ``chemotherapy implants'' 
and cases involving ``epilepsy with neurostimulator'' from MS-DRG 023 
and to create a new MS-DRG for these cases. While analysis of the 
claims data do not support creating a new MS-DRG for cases reporting 
the insertion of a chemotherapy implant and cases describing a 
neurostimulator generator inserted into the skull with the insertion of 
a neurostimulator lead into the brain (including cases involving the 
use of the RNS[supreg] neurostimulator) and a principal diagnosis of 
epilepsy, our analysis of that request found cases describing a 
neurostimulator generator inserted into the skull with the insertion of 
a neurostimulator lead into the brain (including cases involving the 
use of the RNS[supreg] neurostimulator) and a principal diagnosis of 
epilepsy have average costs that are higher than the average costs of 
all cases in MS-DRG 023, with a shorter average length of stay.
    The second request we received was to reassign cases reporting the 
implantation of a DBS system from the lower (without MCC) severity 
level MS-DRG 024 to the higher (MCC) severity level MS-DRG 023 even if 
there is no MCC reported. While analysis of the claims data does not 
support reassigning the cases reporting the implantation of a DBS 
system from the lower (without MCC) severity level MS-DRG 024 to the 
higher (MCC) severity level MS-DRG 023 even if there is no MCC 
reported, our analysis of that request found the average costs of the 
cases reporting the implantation of a DBS system are higher than all 
cases in their respective MS-DRGs, while the average lengths of stay 
are shorter. Lastly, our analysis of the third request demonstrates the 
cases reporting the insertion of a single array generator and insertion 
of neurostimulator lead into brain have average costs that are higher 
than the average costs of all cases in their respective MS-DRGs, while 
the average lengths of stay are shorter.
    We reviewed these issues and note intracranial neurostimulator 
implants, such as deep brain stimulators and RNS[supreg] 
neurostimulators, are similar in that these intracranial 
neurostimulators are implanted surgically and include placement of a 
neurostimulator generator and insertion of leads into specific brain 
regions to deliver electrical stimulation. Additionally, based on our 
data analysis, cases reporting the insertion of intracranial 
neurostimulator implants are clinically coherent in that they are 
similar in terms of technical complexity and hospital resource use as 
reflected by the similarity in average costs and average lengths of 
stay.
    We explored creating a new base MS-DRG for cases reporting the 
insertion of an intracranial neurostimulator implant and compared the 
analysis discussed previously using the claims data from the September 
2024 update of the FY 2024 MedPAR file. The following table illustrates 
our findings for all 654 cases reporting procedure codes describing the 
insertion of an intracranial neurostimulator implant.

                    Cases Reporting the Insertion of an Intracranial Neurostimulator Implant
----------------------------------------------------------------------------------------------------------------
                                                                                      Average
                                                                     Number of      length  of    Average  costs
                                                                       cases           stay
----------------------------------------------------------------------------------------------------------------
Cases with principal diagnosis of epilepsy with neurostimulator               68             2.4         $66,303
 generator inserted into the skull and insertion of a
 neurostimulator lead into brain................................
Cases reporting the implantation of a DBS system (insertion of a              26             8.3          81,947
 multiple array generator and insertion of neurostimulator lead
 into brain)--with MCC..........................................
Cases reporting the insertion of a multiple array generator and                1               9          44,475
 insertion of neurostimulator lead into cerebral ventricle--with
 MCC............................................................
Cases reporting the insertion of a single array generator and                  5               5          73,168
 insertion of neurostimulator lead into brain--with MCC.........
Cases reporting the insertion of a multiple array generator and                5             2.2          81,517
 insertion of neurostimulator lead into cerebral ventricle--with
 CC.............................................................
Cases reporting the insertion of a single array generator and                 25             2.3          42,002
 insertion of neurostimulator lead into brain--with CC..........
Cases reporting the implantation of a DBS system (insertion of a             432             1.7          43,032
 multiple array generator and insertion of neurostimulator lead
 into brain)--without MCC.......................................
Cases reporting the insertion of a multiple array generator and               14             1.7          48,258
 insertion of neurostimulator lead into cerebral ventricle--
 without CC/MCC.................................................

[[Page 18024]]

 
Cases reporting the insertion of a single array generator and                 78             1.4          39,381
 insertion of neurostimulator lead into brain--without CC/MCC...
                                                                 -----------------------------------------------
    Total.......................................................             654             2.1          47,163
----------------------------------------------------------------------------------------------------------------

    We reviewed these data and do not believe proposing a new base MS-
DRG for these cases would better reflect hospital resource use. Because 
there were only 654 cases identified, the analysis demonstrates both a 
three-way and a two-way split of a new base MS-DRG would fail the 
criterion that there be at least 500 cases for each subgroup. The 
analysis also demonstrates the cases reporting a principal diagnosis of 
epilepsy with neurostimulator generator inserted into the skull and 
insertion of a neurostimulator lead into brain, and cases reporting the 
insertion of a single or multiple array generator with a secondary 
diagnosis designated as an MCC, would continue to have average costs 
that are higher when compared to all other cases reporting the 
insertion of an intracranial neurostimulator implant in a new MS-DRG. 
We therefore explored an alternative mechanism to address these 
requests.
    We note that in the FY 2018 IPPS/LTCH PPS final rule (82 FR 38015 
through 38019), the FY 2021 IPPS/LTCH PPS final rule (85 FR 58459 
through 58462) and the FY 2024 IPPS/LTCH PPS final rule (88 FR 58661 
through 58667), we discussed requests we received to reassign cases 
describing the insertion of a neurostimulator generator into the skull 
in combination with the insertion of a neurostimulator lead into the 
brain from MS-DRG 023 to MS-DRG 021 (Intracranial Vascular Procedures 
with Principal Diagnosis Hemorrhage with CC). While acknowledging the 
cases in MS-DRG 023 describing a neurostimulator generator inserted 
into the skull with the insertion of a neurostimulator lead into the 
brain (including cases involving the use of the RNS[supreg] 
neurostimulators) and a principal diagnosis of epilepsy have average 
costs that are similar to the average costs of cases in MS-DRG 021, we 
have stated we did not support reassigning the cases describing a 
neurostimulator generator inserted into the skull with the insertion of 
a neurostimulator lead into the brain (including cases involving the 
use of the RNS[supreg] neurostimulators) and a principal diagnosis of 
epilepsy from MS-DRG 023 to MS-DRGs 020, 021, and 022 (Intracranial 
Vascular Procedures with Principal Diagnosis Hemorrhage, with MCC, with 
CC, without CC/MCC, respectively), as the cases in MS-DRGs 020, 021, 
and 022 are defined by a principal diagnosis of a hemorrhage. We stated 
that RNS[supreg] neurostimulators are not used to treat patients with 
diagnosis of a hemorrhage and that we believe that it is inappropriate 
to reassign cases representing a principal diagnosis of epilepsy to a 
MS-DRG that contains cases that represent the treatment of intracranial 
hemorrhage.
    However, after further consideration, to explore other mechanisms 
to address this request, we examined MS-DRGs 020, 021, and 022 to 
reconsider the possibility of reassigning the cases reporting the 
insertion of an intracranial neurostimulator implant as we have been 
unable to identify another MS-DRG in MDC 01 that would be a more 
appropriate MS-DRG assignment for these cases based on the indication 
for and complexity of the procedures.
    The GROUPER logic for MS-DRGs 020, 021, and 022 contains a list of 
procedure codes describing intracranial vascular procedures that are 
captured under a logic list referred to as ``Intracranial Vascular 
Procedures'' and a list of diagnosis codes describing a diagnosis of a 
hemorrhage that are captured under a logic list referred to as 
``Hemorrhage Principal Diagnosis.'' During our review of MS-DRGs 020, 
021, and 022, we identified 57 ICD-10-PCS procedure codes describing 
the intracranial vascular procedures and 66 diagnosis codes describing 
a diagnosis of intracranial hemorrhage that were inadvertently excluded 
from these logic lists. We refer the reader to Table 6P.2c and Table 
6P.2d associated with this FY 2026 IPPS/LTCH PPS proposed rule (and 
available at: https://www.cms.gov/medicare/medicare-fee-for-service-payment/acuteinpatientpps) for the lists of the 57 ICD-10-PCS procedure 
codes and 66 ICD-10-CM diagnosis codes that we identified.
    As these 57 procedure codes describe the intracranial vascular 
procedures and the 66 diagnosis codes describe a diagnosis of 
intracranial hemorrhage, we believe these codes are clinically aligned 
with the codes currently included in the ``Intracranial Vascular 
Procedures'' and the ``Hemorrhage Principal Diagnosis'' logic lists, 
respectively in MS-DRGs 020, 021, and 022. Therefore, for clinical 
consistency we are proposing to add the 57 procedure codes 
``Intracranial Vascular Procedures'' logic list, and the 66 diagnosis 
codes to the ``Hemorrhage Principal Diagnosis'' logic list of MS-DRGs 
020, 021, and 022, effective October 1, 2025, for FY 2026.
    In reviewing the claims data from the September 2024 update of the 
FY 2024 MedPAR file and examining the clinical considerations, we 
believe that the cases reporting the insertion of an intracranial 
neurostimulator implant could more suitably group to MS-DRGs 020, 021, 
and 022 and would lead to a grouping that is more coherent and better 
reflects the clinical severity and resource use involved in these 
cases. While we previously have stated that we believe it would be 
inappropriate to reassign cases representing a principal diagnosis of 
epilepsy to a MS-DRG that contains cases that represent the treatment 
of intracranial hemorrhage, after further consideration, we no longer 
believe maintaining a difference in assignment based on the indication 
is warranted in this subset of cases based on the fact that both 
treatments involve intracranial procedures and demonstrate comparable 
resource utilization.
    We also believe that cases reporting the insertion of an 
intracranial neurostimulator implant, regardless of principal 
diagnosis, share similar resource utilization such that it is no longer 
necessary to subdivide these cases based on the diagnosis codes 
reported. Accordingly, we believe it is appropriate to remove the 
special logic defined as ``Epilepsy Principal Diagnosis'' from the 
definition for assignment to the proposed modified MS-DRGs, as the 
cases can be appropriately grouped along with cases reporting any MDC 
01 diagnosis when reported with qualifying procedures, as part of the 
proposed restructured MS-DRGs.
    Therefore, we are proposing to add 114 procedure code combinations 
to a new ``Intracranial Neurostimulator

[[Page 18025]]

Implant'' logic list in MS-DRGs 020, 021, and 022 that describe (1) the 
insertion of multiple or single array neurostimulator generators with 
the insertion of a neurostimulator lead into the brain or the cerebral 
ventricle and (2) the insertion of neurostimulator generator inserted 
into the skull with the insertion of a neurostimulator lead into the 
brain. We are also proposing to delete the ``Major Device Implant,'' 
``Epilepsy Principal Diagnosis,'' ``Neurostimulator'' logic lists from 
MS-DRGs 023 and 024. We refer the reader to Table 6P.2e associated with 
this FY 2026 IPPS/LTCH PPS proposed rule (and available at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps) for the list of the 114 ICD-10-PCS procedure code 
combinations we propose to add to a new ``Intracranial Neurostimulator 
Implant'' logic list in MS-DRGs 020, 021, and 022.
    To compare and analyze the impact of these potential modifications, 
we ran a simulation using the claims data from the September 2024 
update of the FY 2024 MedPAR file. The following table reflects the 
simulation of our proposed changes in MS-DRGs 020, 021, and 022.

----------------------------------------------------------------------------------------------------------------
                                                                                      Average
             MS-DRG                                                  Number of      length  of    Average  costs
                                                                       cases           stay
----------------------------------------------------------------------------------------------------------------
020.............................  All Cases.....................           2,322            12.5        $71,9167
                                  --add cases reporting                      100             4.1          70,495
                                   procedure codes describing
                                   the insertion of an
                                   intracranial neurostimulator
                                   implant.
                                  --add cases reporting one of               140            13.6          73,810
                                   the 57 procedure codes
                                   describing an intracranial
                                   vascular procedure with one
                                   of the 66 diagnosis codes
                                   describing hemorrhage as
                                   principal diagnosis.
                                  Intracranial Vascular                    2,562            12.2          71,964
                                   Procedures with Principal
                                   Diagnosis Hemorrhage or
                                   Intracranial Neurostimulator
                                   Implant with MCC.
021.............................  All Cases.....................             642             7.8          48,421
                                  --add cases reporting                      134             2.2          47,421
                                   procedure codes describing
                                   the insertion of an
                                   intracranial neurostimulator
                                   implant.
                                  --add cases reporting one of                45             9.3          54,617
                                   the 57 procedure codes
                                   describing an intracranial
                                   vascular procedure with one
                                   of the 66 diagnosis codes
                                   describing hemorrhage as
                                   principal diagnosis.
                                  Intracranial Vascular                      821               7          48,597
                                   Procedures with Principal
                                   Diagnosis Hemorrhage or
                                   Intracranial Neurostimulator
                                   Implant with CC.
022.............................  All Cases.....................             385             2.4          28,243
                                  --add cases reporting                      420             1.5          41,525
                                   procedure codes describing
                                   the insertion of an
                                   intracranial neurostimulator
                                   implant.
                                  --add cases reporting one of                 1               1          24,744
                                   the 57 procedure codes
                                   describing an intracranial
                                   vascular procedure with one
                                   of the 66 diagnosis codes
                                   describing hemorrhage as
                                   principal diagnosis.
                                  Intracranial Vascular                      806             1.9          35,160
                                   Procedures with Principal
                                   Diagnosis Hemorrhage or
                                   Intracranial Neurostimulator
                                   Implant without CC/MCC.
----------------------------------------------------------------------------------------------------------------

    We believe that this simulation supports that the resulting MS-DRG 
assignments would be more clinically homogeneous, coherent and better 
reflect hospital resource use. As the table shows, for MS-DRG 020, 
there were a total of 2,322 cases with an average length of stay of 
12.5 days and average costs of $71,916. For MS-DRG 021, there were a 
total of 642 cases with an average length of stay of 7.8 days and 
average costs of $48,421. For MS-DRG 022, there were a total of 385 
cases with an average length of stay of 2.4 days and average costs of 
$28,243. A review of this simulation shows that adding a new 
``Intracranial Neurostimulator Implant'' logic list, while also adding 
57 procedure codes to the ``Intracranial Vascular Procedures'' logic 
list, and 66 diagnosis codes to the ``Hemorrhage Principal Diagnosis'' 
logic list in MS-DRGs 020, 021 and 022 has a limited effect on the 
average costs of these MS-DRGs, while leading to a grouping that is 
more coherent and better reflects the clinical severity and resource 
use involved in these cases.
    In summary, for FY 2026, to more appropriately reflect utilization 
of resources for these procedures, we are proposing to add 114 
procedure code combinations to a new ``Intracranial Neurostimulator 
Implant'' logic list in MS-DRGs 020, 021, and 022 that describe (1) the 
insertion of multiple or single array neurostimulator generators with 
the insertion of a neurostimulator lead into the brain or the cerebral 
ventricle and (2) the insertion of neurostimulator generator inserted 
into the skull with the insertion of a neurostimulator lead into the 
brain. We are also proposing to add 57 procedure codes to the 
``Intracranial Vascular Procedures'' logic list, and 66 diagnosis codes 
to the ``Hemorrhage Principal Diagnosis'' logic list of MS-DRGs 020, 
021, and 022.
    Additionally, we are also proposing to delete the ``Major Device 
Implant,'' ``Epilepsy Principal Diagnosis,'' ``Neurostimulator'' logic 
lists from MS-DRGs 023 and 024. Lastly, for consistency, we are 
proposing to change the titles of MS-DRGs 020, 021, and 022 from 
``Intracranial Vascular Procedures with Principal Diagnosis Hemorrhage 
with MCC, with CC, and without CC/MCC, respectively'' to ``Intracranial 
Vascular Procedures with Principal Diagnosis Hemorrhage or Intracranial 
Neurostimulator Implant with MCC, with CC, and without CC/MCC, 
respectively,'' proposing to change the title of MS-DRG 023 from 
``Craniotomy with Major Device Implant or Acute Complex Central Nervous 
System Principal Diagnosis with MCC or Chemotherapy Implant or Epilepsy 
with Neurostimulator'' to ``Craniotomy with Acute Complex Central 
Nervous System Principal Diagnosis with MCC or Antineoplastic 
Implant,'' and proposing to change the title of MS-DRG 024 from 
``Craniotomy with Major Device Implant or Acute Complex Central Nervous 
System Principal Diagnosis without MCC'' to ``Craniotomy with Acute 
Complex Central Nervous System Principal Diagnosis without MCC'' to 
better reflect the assigned procedures effective October 1, 2025, for 
FY 2026.

[[Page 18026]]

b. Hypertensive Encephalopathy
    For this FY 2026 IPPS/LTCH PPS proposed rule, we received a request 
to delete MS-DRGs 077, 078, and 079 (Hypertensive Encephalopathy with 
MCC, with CC, and without CC/MCC, respectively). Hypertensive 
encephalopathy refers to brain dysfunction that occurs when the brain's 
blood vessels can no longer regulate blood flow due to severe or sudden 
rises in blood pressure, causing brain swelling and damage. It is 
characterized by the insidious onset of headache, nausea, and vomiting, 
followed by non-localizing neurologic symptoms such as restlessness, 
confusion, and, if the hypertension is not treated, seizures and coma. 
The diagnosis is based on clinical presentation, elevated blood 
pressure, and neurological examination, often supported by brain 
imaging like CT or MRI. The treatment involves immediate and rapid 
lowering of blood pressure with appropriate medications administered in 
a controlled setting. ICD-10-CM diagnosis code I67.4 (Hypertensive 
encephalopathy) is used to report this diagnosis.
    The requestor noted that effective FY 2025, a ``use additional 
code'' instructional note was added under diagnosis code I16.1 
(Hypertensive emergency) in the ICD-10-CM Tabular List of Diseases and 
Injuries. Specifically, the instructional note states, ``use additional 
code, if applicable, to identify specific organ dysfunction, such as:'' 
and lists I67.4 as well as eight other ICD-10-CM diagnosis codes. The 
requestor stated that the addition of this ``use additional code'' 
instructional note has sequencing implications and requires I67.4 to be 
sequenced as a secondary diagnosis when hypertensive emergency and 
hypertensive encephalopathy are documented. As the GROUPER logic for 
MS-DRGs 077, 078, and 079 is defined by only diagnosis code I67.4, the 
requestor stated there will no longer be cases grouping to medical MS-
DRGs 077, 078, and 079 because I67.4 will only be sequenced as a 
secondary diagnosis and I16.1 will have to be sequenced as the 
principal diagnosis. Instead, these cases will group to MDC 05 
(Diseases and Disorders of the Circulatory System) medical MS-DRGs 304 
and 305 (Hypertension with MCC and without MCC, respectively) since 
I16.1 is assigned to those MS-DRGs.
    To begin our analysis, we reviewed the ICD-10-CM Tabular List of 
Diseases and Injuries. The requestor is correct a ``use additional 
code'' instructional note was added under diagnosis code I16.1 
(Hypertensive emergency) in the ICD-10-CM Tabular List of Diseases and 
Injuries, effective FY 2025. According to the ICD-10-CM Official 
Guidelines for Coding and Reporting, ``certain conditions have both an 
underlying etiology and multiple body system manifestations due to the 
underlying etiology. For such conditions the ICD-10-CM has a coding 
convention that requires the underlying condition be sequenced first 
followed by the manifestation. Wherever such a combination exists there 
is a `use additional code' note at the etiology code, and a `code 
first' note at the manifestation code. These instructional notes 
indicate the proper sequencing order of the codes, etiology followed by 
manifestation.'' We note that no such ``code first'' note appears at 
ICD-10-CM diagnosis code I67.4 (Hypertensive encephalopathy) in the 
ICD-10-CM Tabular List of Diseases and Injuries meaning the sequencing 
depends on the circumstances of the encounter when hypertensive 
emergency and hypertensive encephalopathy are documented. If providers 
have cases involving hypertensive emergency and hypertensive 
encephalopathy for which they need ICD-10 coding assistance, we 
encourage them to submit their questions to the American Hospital 
Association's Central Office on ICD-10 at https://www.codingclinicadvisor.com/.
    We then reviewed the GROUPER logic. The requestor is correct that 
diagnosis code I67.4 is the only diagnosis code listed under the 
heading of ``Principal Diagnosis'' in the ICD-10 MS-DRG Definitions 
Manual for MS-DRGs 077, 078, and 079. We refer the reader to the ICD-10 
MS-DRG Definitions Manual Version 42.1, which is available on the CMS 
website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software, for 
complete documentation of the GROUPER logic for MS-DRGs 077, 078, and 
079. We note that a DRG for a principal diagnosis of hypertensive 
encephalopathy (48 FR 39876) has existed since 1983 when Congress 
amended the Social Security Act to include a national DRG-based 
hospital prospective payment system for all Medicare patients.
    We then examined claims data from the September 2024 update of the 
FY 2024 MedPAR file for all cases in MS-DRGs 077, 078, and 079 to 
consider the resources involved in the cases reporting a principal 
diagnosis of hypertensive encephalopathy. Our findings are shown in 
this table.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                             MS-DRG                                    cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
MS-DRG 077--All cases...........................................           1,488             5.0         $13,176
MS-DRG 078--All cases...........................................           1,846             3.3           8,591
MS-DRG 079--All cases...........................................             243             2.4           6,729
----------------------------------------------------------------------------------------------------------------

    The data reflect a moderately low volume of cases in MS-DRGs 077, 
078, and 079, relatively. We then evaluated the reporting of 
hypertensive encephalopathy in the inpatient setting over the past few 
years in medical MS-DRGs 077, 078, and 079. We analyzed claims data for 
MS-DRGs 077, 078, and 079 from the FY 2020 through the FY 2024 MedPAR 
files, which were used in our analysis of claims data for MS-DRG 
reclassification requests effective for FY 2022 through FY 2026 to 
trend the number of cases assigned to these MS-DRGs over time. Our 
findings are shown in the following graph:

[[Page 18027]]

[GRAPHIC] [TIFF OMITTED] TP30AP25.000

    The data show a general decline in the number of cases reporting 
hypertensive encephalopathy as a principal diagnosis in medical MS-DRGs 
077, 078, and 079 for the past 5 years. We note that as discussed in 
prior rulemaking, the MS-DRGs are a classification system intended to 
group together diagnoses and procedures with similar clinical 
characteristics and utilization of resources. We generally seek to 
identify sufficient sets of claims data with demonstrated clinical 
similarity in developing diagnosis related groups rather than subsets 
based on single diagnoses. After review of the findings indicating a 
general decline in the number of cases reporting hypertensive 
encephalopathy as a principal diagnosis, and consideration of the 
intent of the MS-DRGs, we believe that there is no longer a clinical 
reason to maintain the MS-DRGs for hypertensive encephalopathy (MS-DRGs 
077, 078, and 079) as they are defined by the reporting of one 
principal diagnosis code.
    To explore mechanisms to ensure clinical coherence between cases 
reporting hypertensive encephalopathy as a principal diagnosis and the 
other cases with which they may potentially be grouped, we then 
conducted an examination of all the MS-DRGs where I67.4 was also 
reported as principal diagnosis to determine if the diagnosis was 
included in any other MS-DRGs outside of MDC 01, to assess the current 
MS-DRG assignment of this diagnosis code. Our findings are shown in the 
following table.

    Other MS-DRGs Reporting Hypertensive Encephalopathy as Principal
                                Diagnosis
------------------------------------------------------------------------
                                                     Average
 MDC     MS-DRG        Description       Number of  length of   Average
                                           cases       stay      costs
------------------------------------------------------------------------
PRE..        004  Tracheostomy with MV           1         52   $128,406
                   >96 Hours or
                   Principal Diagnosis
                   Except Face, Mouth
                   and Neck without
                   Major O.R.
                   Procedures.
01...        025  Craniotomy and                 1         16    114,582
                   Endovascular
                   Intracranial
                   Procedures with MCC.
01...        026  Craniotomy and                 1          6     79,934
                   Endovascular
                   Intracranial
                   Procedures with CC.
01...        028  Spinal Procedures              1         26     58,049
                   with MCC.
01...        037  Extracranial                   4        5.5     27,923
                   Procedures with MCC.
01...        038  Extracranial                   1          4     12,509
                   Procedures with CC.
01...        040  Peripheral, Cranial            5        8.2     29,325
                   Nerve and Other
                   Nervous System
                   Procedures with MCC.
01...        041  Peripheral, Cranial            8        4.9     14,909
                   Nerve and Other
                   Nervous System
                   Procedures with CC
                   or Peripheral
                   Neurostimulator.
             981  Extensive O.R.                10       10.3     31,543
                   Procedures
                   Unrelated to
                   Principal Diagnosis
                   with MCC.
             982  Extensive O.R.                 1          1     10,926
                   Procedures
                   Unrelated to
                   Principal Diagnosis
                   with CC.
             987  Non-Extensive O.R.             2        8.5     28,020
                   Procedures
                   Unrelated to
                   Principal Diagnosis
                   with MCC.
                                       ---------------------------------
                   Total..............          35        9.3     32,956
------------------------------------------------------------------------

    As shown in the table, we found 35 cases reporting hypertensive 
encephalopathy as the principal diagnosis in MS-DRGs other than MS-DRGs 
077, 078, and 079. We note that the majority of the listed MS-DRGs are 
assigned to MDC 01 with one exception: PreMDC MS-DRG 004 (Tracheostomy 
with MV >96 Hours or Principal Diagnosis Except Face, Mouth and Neck 
without Major O.R. Procedures). Additionally, there were 11 cases that 
grouped to MS-DRGs 981, and 982 (Extensive O.R. Procedure Unrelated to 
Principal Diagnosis with MCC, and with CC, respectively) and two cases 
that grouped to MS-DRG 987 (Non-Extensive O.R. Procedures Unrelated to 
Principal Diagnosis with MCC). After review of these data, we believe 
it would not be appropriate to reassign diagnosis code I67.4 to another 
MDC because it could inadvertently cause cases reporting a principal 
diagnosis of hypertensive encephalopathy with a nervous system 
procedure to be assigned to an unrelated MS-DRG. Further, we believe it 
is clinically appropriate to maintain the assignment of I67.4 in MDC 01 
as the condition is consistent with other conditions reported by 
diagnosis codes assigned to MDC 01.

[[Page 18028]]

    We then examined the MS-DRGs within MDC 01 to consider the 
possibility of reassigning the cases with a principal diagnosis of 
hypertensive encephalopathy to other MS-DRGs within MDC 01. In 
reviewing the claims data from the September 2024 update of the FY 2024 
MedPAR file, and examining the clinical considerations, we believe that 
the cases reporting a principal diagnosis of hypertensive 
encephalopathy could suitably group to MS-DRGs 070, 071, and 072 
(Nonspecific Cerebrovascular Disorders with MCC, with CC and, without 
CC/MCC, respectively), which contain other cerebrovascular diagnoses 
under the heading of ``Principal Diagnosis'' in the GROUPER logic list, 
noting that hypertensive encephalopathy is considered a cerebrovascular 
disorder, as it is a neurological condition directly caused by a 
sudden, severe elevation in blood pressure. We refer the reader to the 
ICD-10 MS-DRG Definitions Manual Version 42.1, which is available on 
the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software, for complete documentation of the GROUPER logic for MS-DRGs 
070, 071, and 072.
    To determine how the resources for the cases in MS-DRGs 077, 078, 
and 079 compared to cases in MS-DRGs 070, 071, and 072, we examined the 
average costs and length of stay for cases in MS-DRGs 070, 071, and 
072. Our findings are shown in the following table.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                             MS-DRG                                    cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
MS-DRG 070--All cases...........................................          16,979             6.4         $14,771
MS-DRG 071--All cases...........................................          16,596             4.5           9,381
MS-DRG 072--All cases...........................................           2,687             2.9           7,047
----------------------------------------------------------------------------------------------------------------

    As reflected, the average costs of the 1,488 cases reporting a 
principal diagnosis of I67.4 with a secondary diagnosis designated as a 
MCC in MS-DRG 077 are slightly lower ($13,176 compared to $14,771) and 
the average length of stay is shorter (5 days compared to 6.4 days) 
than for all cases in MS-DRGs 070. The average costs of the 1,846 cases 
reporting a principal diagnosis of I67.4 with a secondary diagnosis 
designated as a CC in MS-DRG 078 are slightly lower ($8,591 compared to 
$9,381) and the average length of stay is shorter (3.3 days compared to 
4.5 days) than for all cases in MS-DRGs 071. The average costs of the 
243 cases reporting a principal diagnosis of I67.4 without reporting a 
secondary diagnosis designated as a CC or a MCC in MS-DRG 079 are 
slightly lower ($6,729 compared to $7,047) and the average length of 
stay is shorter (2.4 days compared to 2.9 days) than for all cases in 
MS-DRGs 072.
    Our analysis demonstrates that the cases reporting a principal 
diagnosis of I67.4 currently grouping to medical MS-DRGs 077, 078, and 
079 are generally aligned with the average costs for the cases 
currently grouping to MS-DRGs 070, 071, and 072. While the cases 
reporting a principal diagnosis code describing hypertensive 
encephalopathy have slightly lower costs and a shorter average length 
of stay than for cases in MS-DRGs 070, 071, and 072, we believe 
reassigning diagnosis code I67.4 to MS-DRGs 070, 071, and 072 will 
account for the subset of patients reporting this principal diagnosis, 
and will appropriately reflect the resources involved in evaluating and 
treating these patients.
    During our review of this issue and the examination of the MS-DRGs 
within MDC 01, we noted that the title of MS-DRGs 067, 068, and 069 is 
``Nonspecific CVA and Precerebral Occlusion without Infarction with 
MCC, with CC, and without CC/MCC, respectively'' and the title of MS-
DRGs 070, 071, and 072 is ``Nonspecific Cerebrovascular Disorders, with 
MCC, with CC, and without CC/MCC, respectively.'' In examining the 
GROUPER logic for these MS-DRGs and reviewing the diagnoses listed 
under the heading of ``Principal Diagnosis'' in the ICD-10 MS-DRG 
Definitions Manual, we believe the titles for these MS-DRGs no longer 
accurately reflects the assigned diagnoses. Like MS-DRGs 077, 078, and 
079, the titles of MS-DRGs 067, 068, 069, 070, 071, and 072 were 
established prior to the transition to ICD-10-CM. The terminology 
``nonspecific'' in the titles for these MS-DRGs was appropriate to 
describe the ICD-9-CM diagnosis codes that were previously assigned to 
these DRGs, but as discussed in the HIPAA Administrative 
Simplification: Modification to Medical Data Code Set Standards To 
Adopt ICD-10-CM and ICD-10-PCS proposed rule (73 FR 49796 through 
49803), in comparison to ICD-9-CM, ICD-10-CM diagnosis codes are very 
specific and that this specificity improves the richness of data for 
analysis and improves the accuracy of data used for medical research. 
Therefore, we believe it is appropriate to propose to revise the titles 
of these MS-DRGs for consistency.
    In summary, for FY 2026, we are proposing to delete MS-DRGs 077, 
078, and 079. Additionally, we are proposing to reassign ICD-10-CM 
diagnosis code I67.4 (Hypertensive encephalopathy) from MDC 01 MS-DRGs 
077, 078, and 079 to MS-DRGs 070, 071, and 072. Lastly, for 
consistency, we are also proposing to change the titles of MS-DRGs 067, 
068, and 069 from ``Nonspecific CVA and Precerebral Occlusion without 
Infarction with MCC, with CC, and without CC/MCC, respectively'' to 
``Precerebral Occlusion without Infarction with MCC, with CC, and 
without CC/MCC, respectively'' and to change the titles of MS-DRGs 070, 
071, and 072 from ``Nonspecific Cerebrovascular Disorders, with MCC, 
with CC, and without CC/MCC, respectively'' to ``Other Cerebrovascular 
Disorders with MCC, with CC, and without CC/MCC, respectively'' to 
better reflect the assigned diagnoses.
c. Encounter for Adjustment and Management of Implanted Devices of the 
Special Senses
    We identified a replication issue from the ICD-9 based MS-DRGs to 
the ICD-10 based MS-DRGs regarding the assignment of four ICD-10-CM 
diagnosis codes that describe encounters for adjustment and management 
of implanted devices of the special senses. Under the Version 32 ICD-9-
CM based MS-DRGs, ICD-9-CM diagnosis code V53.09 (Fitting and 
adjustment of other devices related to nervous system and special 
senses), as shown in the following table, was assigned medical MS-DRGs 
091, 092, and 093 (Other Disorders of Nervous System with MCC, with CC, 
and without CC/MCC, respectively) in MDC 01 (Diseases and Disorders of 
the Nervous System). The four ICD-10-CM code translations also shown in 
the following table, that provide more detailed and specific 
information, also

[[Page 18029]]

currently group to MS-DRGs 091, 092, and 093 in the ICD-10 MS-DRGs 
Version 42.1. We refer the reader to the ICD-10 MS-DRG Definitions 
Manual Version 42.1 (available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software) for complete 
documentation of the GROUPER logic for MS-DRGs 091, 092, and 093.

----------------------------------------------------------------------------------------------------------------
                                                                    ICD-10-CM
    ICD-9-CM diagnosis code               Description            diagnosis code            Description
----------------------------------------------------------------------------------------------------------------
V53.09........................  Fitting and adjustment of other          Z45.31  Encounter for adjustment and
                                 devices related to nervous                       management of implanted visual
                                 system and special senses.                       substitution device.
                                                                        Z45.320  Encounter for adjustment and
                                                                                  management of bone conduction
                                                                                  device.
                                                                        Z45.321  Encounter for adjustment and
                                                                                  management of cochlear device.
                                                                        Z45.328  Encounter for adjustment and
                                                                                  management of other implanted
                                                                                  hearing device.
----------------------------------------------------------------------------------------------------------------

    During our review of this issue, we noted that under ICD-9-CM, 
diagnosis code V53.09 (Fitting and adjustment of other devices related 
to nervous system and special senses) did not further describe the type 
of device related to nervous system and special senses. This is in 
contrast to its four comparable ICD-10-CM code translations listed in 
the previous table that provide more detailed and specific information 
than the ICD-9-CM diagnosis code and do specify the type of device.
    In reviewing the four ICD-10-CM diagnosis codes listed in the 
previous table and the devices they describe, we believe that that 
Z45.31 is more appropriately assigned to MDC 02 (Diseases and Disorders 
of the Eye) and codes Z45.320, Z45.321, and Z45.328 are more 
appropriately assigned to MDC 03 (Diseases and Disorders of the Ear, 
Nose, Mouth and Throat). We note that an ``implanted visual 
substitution device,'' also known as a ``visual prosthesis,'' is a 
medical implant designed to partially restore vision to a patient who 
is blind by directly stimulating the visual pathway in the retina or 
brain, essentially bypassing damaged photoreceptor cells in the eye and 
providing a basic visual perception through electrical stimulation. 
Bone conduction devices, also known as bone conduction hearing aids, 
amplify sound via bone conduction, or vibrations through the bones of 
the skull which directly stimulate a functioning cochlea. Cochlear 
devices and other implanted hearing devices are small electronic 
devices designed for patients with moderate to severe hearing loss 
caused by damage to the inner ear to help perceive sounds.
    We analyzed claims data from the September 2024 update of the FY 
2024 MedPAR file to determine if there were any cases reported with 
diagnosis codes Z45.31, Z45.320, Z45.321, or Z45.328. One case was 
found in MS-DRG 983 (Extensive O.R. Procedures Unrelated to Principal 
Diagnosis without CC/MCC) reporting principal diagnosis Z45.321 and 
procedure code 09PE0SZ (Removal of hearing device from left inner ear, 
open approach) with costs of $5,530 and a length of stay of one day.
    We recognize that the volume of inpatient cases for patients with a 
principal diagnosis of Z45.31, Z45.320, Z45.321, or Z45.328 is low, 
however we believe that for clinical consistency, it is more 
appropriate for these cases to be assigned to MDCs that better describe 
the indication of the implanted devices of the special senses the codes 
describe. Accordingly, because the cases reporting principal diagnoses 
describing encounters for adjustment and management of implanted 
devices of the special senses are more clinically consistent in MDC 02 
or MDC 03 depending on the type of device, and the diagnosis codes were 
initially assigned to MDC 01 MS-DRGs 091, 092, and 093 as a result of 
replication in the transition from ICD-9 to ICD-10 based MS-DRGs, we 
are proposing to reassign ICD-10-CM diagnosis code Z45.31 from MS-DRGs 
091, 092, and 093 to MDC 02 MS-DRG 123 (Neurological Eye Disorders). We 
are also proposing to reassign ICD-10-CM diagnosis codes Z45.320, 
Z45.321, and Z45.328 from MS-DRGs 091, 092, and 093 to MDC 03 MS-DRGs 
154, 155, and 156 (Other Ear, Nose, Mouth and Throat Diagnoses with 
MCC, with CC, and without CC/MCC, respectively).
4. MDC 05 (Diseases and Disorders of the Circulatory System)
a. Endovascular Aneurysm Repair (EVAR) With Iliac Branch Procedures
    We received a request to create a new MS-DRG for cases reporting 
endovascular repair of abdominal aortic aneurysms that extend into at 
least one iliac artery to preserve blood flow to the external or 
internal iliac arteries. According to the requestor, aortic aneurysms 
extend into at least one of the iliac arteries in approximately 25% of 
patients with abdominal aortic aneurysms. The requestor (the 
manufacturer), stated that the GORE[supreg] EXCLUDER[supreg] Iliac 
Branch Endoprosthesis was approved by the Food and Drug Administration 
(FDA) in March of 2016 to be used exclusively with the GORE[supreg] 
EXCLUDER[supreg] Abdominal Aortic Aneurysm Endoprosthesis to isolate 
the common iliac artery from systemic blood flow and preserve blood 
flow in the external iliac and internal iliac arteries in patients with 
a common iliac or aortoiliac aneurysm, who have appropriate anatomy.\1\ 
According to the requestor, maintaining flow to the internal iliac 
artery and pelvic circulation using iliac branch devices or alternative 
techniques aims to decrease complications associated with artery 
occlusion.2 3 4 The requestor also stated that occluding the 
internal iliac artery can result in significant hip and/or

[[Page 18030]]

buttock claudication, erectile dysfunction, and colonic and spinal cord 
ischemia.
---------------------------------------------------------------------------

    \1\ van der Veen D, Holewijn S, Bellosta R, van Sterkenburg SMM, 
Heyligers JMM, Ficarelli I, G[oacute]mez Palon[eacute]s FJ, 
Mangialardi N, Mosquera NJ, Holden A, Reijnen MMPJ; IceBERG Study 
Collaboration. One Year Outcomes of an International Multicentre 
Prospective Cohort Study on the Gore Excluder Iliac Branch 
Endoprosthesis for Aorto-Iliac Aneurysms. Eur J Vasc Endovasc Surg. 
2021 Aug;62(2):177-185. doi: 10.1016/j.ejvs.2021.04.006. Epub 2021 
Jun 16. PMID: 34144884.
    \2\ Sousa LHDG, Baptista-Silva JCC, Vasconcelos V, Flumignan 
RLG, Nakano LCU. Internal iliac artery revascularisation versus 
internal iliac artery occlusion for endovascular treatment of aorto-
iliac aneurysms. Cochrane Database of Systematic Reviews 2020, Issue 
7. Art. No.: CD013168. DOI: 10.1002/14651858.CD013168.pub2.
    \3\ Parlani G, Verzini F, De Rango P, Brambilla D, Coscarella C, 
Ferrer C, Cao P. Long-term results of iliac aneurysm repair with 
iliac branched endograft: a 5-year experience on 100 consecutive 
cases. Eur J Vasc Endovasc Surg. 2012 Mar;43(3):287-92. doi: 
10.1016/j.ejvs.2011.12.011. Epub 2012 Jan 10. PMID: 22240335.
    \4\ Taudorf M, Gr[oslash]nvall J, Schroeder TV, L[ouml]nn L. 
Endovascular Aneurysm Repair Treatment of Aortoiliac Aneurysms: Can 
Iliac Branched Devices Prevent Gluteal Claudication? J Vasc Interv 
Radiol. 2016 Feb;27(2):174-80. doi: 10.1016/j.jvir.2015.11.031. Epub 
2015 Dec 22. PMID: 26706185.
---------------------------------------------------------------------------

    According to the requestor, endovascular aneurysm repair (EVAR) 
procedures that preserve blood flow to the iliac arteries are 
technically more challenging than conventional EVAR of the abdominal 
aorta, and they require increased procedure time, fluoroscopy time, and 
anesthesia time. The requestor stated that tortuosity and/or stenosis 
in the iliac territory may increase the complexity or even prevent the 
deployment of devices, leading to treatment failure or causing early 
occlusion of the branches. In such cases, some patients may develop 
symptoms of pelvic ischaemia.5 6 The requestor stated that 
current guidelines advocate the preservation of at least one internal 
iliac artery in patients with common iliac artery aneurysms, and iliac 
branched devices were developed to preserve the perfusion in the 
internal iliac artery.\7\
---------------------------------------------------------------------------

    \5\ Donas KP, Criado FJ, Torsello G, Veith FJ, Minion DJ; 
PERICLES Registry Collaborators. Classification of Chimney EVAR-
Related Endoleaks: Insights From the PERICLES Registry. J Endovasc 
Ther. 2017 Feb 1;24(1):72-74. doi: 10.1177/1526602816678994. Epub 
2016 Nov 21. PMID: 27872319.
    \6\ Ghosh J, Murray D, Paravastu S, Farquharson F, Walker MG, 
Serracino-Inglott F. Contemporary management of aorto-iliac 
aneurysms in the endovascular era. Eur J Vasc Endovasc Surg. 2009 
Feb;37(2):182-8. doi: 10.1016/j.ejvs.2008.11.001. Epub 2008 Nov 29. 
PMID: 19046903.
    \7\ van der Veen D, Holewijn S, Bellosta R, van Sterkenburg SMM, 
Heyligers JMM, Ficarelli I, G[oacute]mez Palon[eacute]s FJ, 
Mangialardi N, Mosquera NJ, Holden A, Reijnen MMPJ; IceBERG Study 
Collaboration. One Year Outcomes of an International Multicentre 
Prospective Cohort Study on the Gore Excluder Iliac Branch 
Endoprosthesis for Aorto-Iliac Aneurysms. Eur J Vasc Endovasc Surg. 
2021 Aug;62(2):177-185. doi: 10.1016/j.ejvs.2021.04.006. Epub 2021 
Jun 16. PMID: 34144884.
---------------------------------------------------------------------------

    The requestor also expressed concern that hospitals who treat 
Medicare patients with aortoiliac and common iliac aneurysms using 
endovascular procedures with endoprostheses are not classified 
appropriately based on the current MS-DRG assignment and the resources 
required. The requestor performed its own data analysis and indicated 
it found differences in resource utilization when comparing cases 
reporting standard EVAR of the abdominal aorta to cases reporting EVAR 
of the abdominal aorta combined with procedures to preserve flow to an 
iliac branch. According to the requestor, the disparity in resource 
coherency under the current MS-DRG assignment may reduce access to 
Medicare beneficiaries who could benefit from these procedures. The 
requestor stated a new MS-DRG would enable more precise payments and 
better resource coherency under the MS-DRGs.
    The procedure codes that describe EVAR using an abdominal aortic 
aneurysm (AAA) endoprosthesis and the procedure codes that describe 
EVAR using an iliac branch endoprosthesis (IBE) that are used to treat 
aortoiliac and iliac artery aneurysms, respectively, are listed in the 
following tables.

Procedure Codes Describing EVAR Using an Abdominal Aortic Aneurysm (AAA)
                             Endoprosthesis
------------------------------------------------------------------------
    ICD-10-PCS code                        Description
------------------------------------------------------------------------
04V03DZ................  Restriction of abdominal aorta with
                          intraluminal device, percutaneous approach.
04V03EZ................  Restriction of abdominal aorta with branched or
                          fenestrated intraluminal device, one or two
                          arteries, percutaneous approach.
04V03FZ................  Restriction of abdominal aorta with branched or
                          fenestrated intraluminal device, three or more
                          arteries, percutaneous approach.
------------------------------------------------------------------------


  Procedure Codes Describing EVAR Using an Iliac Branch Endoprosthesis
                                  (IBE)
------------------------------------------------------------------------
    ICD-10-PCS code                        Description
------------------------------------------------------------------------
04VC3DZ................  Restriction of right common iliac artery with
                          intraluminal device, percutaneous approach.
04VC3EZ................  Restriction of right common iliac artery with
                          branched or fenestrated intraluminal device,
                          one or two arteries, percutaneous approach.
04VD3DZ................  Restriction of left common iliac artery with
                          intraluminal device, percutaneous approach.
04VD3EZ................  Restriction of left common iliac artery with
                          branched or fenestrated intraluminal device,
                          one or two arteries, percutaneous approach.
04VE3DZ................  Restriction of right internal iliac artery with
                          intraluminal device, percutaneous approach.
04VF3DZ................  Restriction of left internal iliac artery with
                          intraluminal device, percutaneous approach.
04VH3DZ................  Restriction of right external iliac artery with
                          intraluminal device, percutaneous approach.
04VJ3DZ................  Restriction of left external iliac artery with
                          intraluminal device, percutaneous approach.
------------------------------------------------------------------------

    Cases reporting a combination of these procedure codes (that is, 
any one procedure code from each list) for the endovascular treatment 
of aortoiliac and iliac artery aneurysms are currently assigned to MS-
DRGs 268 and 269 (Aortic and Heart Assist Procedures Except Pulsation 
Balloon with MCC and without MCC, respectively). Based on its analysis 
of Medicare claims data using the previously listed codes in MS-DRGs 
268 and 269, and to facilitate more precise payments for these 
procedures, the requestor recommended that CMS assign cases reporting a 
procedure code describing EVAR using an AAA endoprosthesis with a 
procedure code describing EVAR using an IBE to a proposed new MS-DRG 
titled, ``Concomitant Endovascular Abdominal Aorta and Iliac Branch 
Procedures''.
    In review of this request, we analyzed claims data from the 
September 2024 update of the FY 2024 MedPAR file for MS-DRGs 268 and 
269 and for cases reporting standard EVAR using an AAA endoprosthesis 
compared to cases reporting EVAR using an AAA endoprosthesis with an 
IBE that are used to treat aortoiliac and iliac artery aneurysms with 
the previously listed procedure codes. The findings from our analysis 
are shown in the following table.

[[Page 18031]]



------------------------------------------------------------------------
                                                     Average
                MS-DRG                   Number of  length of   Average
                                           cases       stay      costs
------------------------------------------------------------------------
MS-DRG 268--All cases.................       2,519        9.1    $62,984
MS-DRG 268--Cases reporting standard         1,500        7.4     63,877
 EVAR using an AAA endoprosthesis.....
MS-DRG 268--Cases reporting EVAR using         193        8.2     68,145
 an AAA endoprosthesis with an IBE....
MS-DRG 269--All cases.................      10,108        2.0     39,165
MS-DRG 269--Cases reporting standard         8,655        1.8     38,562
 EVAR using an AAA endoprosthesis.....
MS-DRG 269--Cases reporting EVAR using         871        1.8     48,159
 an AAA endoprosthesis with an IBE....
------------------------------------------------------------------------

    As shown in the table, we identified a total of 2,519 cases within 
MS-DRG 268 with an average length of stay of 9.1 days and average costs 
of $62,984. Of the 2,519 cases, we found 1,500 cases reporting standard 
EVAR using an AAA endoprosthesis with an average length of stay of 7.4 
days and average costs of $63,877 and 193 cases reporting EVAR using an 
AAA endoprosthesis with an IBE with an average length of stay of 8.2 
days and average costs of $68,145. The data show that the cases 
reporting standard EVAR using an AAA endoprosthesis have a shorter 
average length of stay (7.4 days versus 8.2 days) and lower average 
costs ($63,877 versus $68,145) compared to the average costs of the 
cases reporting EVAR using an AAA endoprosthesis with an IBE. The data 
further show that the 193 cases reporting EVAR using an AAA 
endoprosthesis with an IBE have a shorter average length of stay (8.2 
days versus 9.1 days) and higher average costs ($68,145 versus $62,984) 
compared to the average length of stay and average costs of all the 
cases in MS-DRG 268.
    For MS-DRG 269, we identified a total of 10,108 cases with an 
average length of stay of 2.0 days and average costs of $39,165. Of the 
10,108 cases, we found 8,655 cases reporting standard EVAR using an AAA 
endoprosthesis with an average length of stay of 1.8 days and average 
costs of $38,562 and 871 cases reporting EVAR using an AAA 
endoprosthesis with an IBE with an average length of stay of 1.8 days 
and average costs of $48,159. The data show that the cases reporting 
standard EVAR using an AAA endoprosthesis have a comparable average 
length of stay (1.8 days versus 1.8 days) and lower average costs 
($38,562 versus $48,159) compared to the cases reporting EVAR using an 
AAA endoprosthesis with an IBE. The data further show that the 871 
cases reporting EVAR using an AAA endoprosthesis with an IBE have a 
shorter average length of stay (1.8 days versus 2.0 days) and higher 
average costs ($48,159 versus $39,165) compared to the average length 
of stay and average costs of all the cases in MS-DRG 269.
    The findings suggest that the cases reporting EVAR using an AAA 
endoprosthesis with an IBE utilize greater resources compared to the 
cases reporting standard EVAR using an AAA endoprosthesis. We agree 
that patients who have aortoiliac and iliac aneurysms are a more 
complex population to treat, contributing to increased resource 
utilization.
    Based on our review and analysis of the cases reporting standard 
EVAR using an AAA endoprosthesis compared to the cases reporting EVAR 
using an AAA endoprosthesis with an IBE to treat aortoiliac and iliac 
artery aneurysms in MS-DRGs 268 and 269, we believe new MS-DRGs are 
warranted to differentiate the utilization of resources between 
standard EVAR to treat AAA and EVAR to treat AAA extending into the 
iliac artery.
    Consistent with our established process as discussed in section 
II.C.1.b. of the preamble of this FY 2026 IPPS/LTCH PPS proposed rule, 
once the decision has been made to propose to make further 
modifications to the MS-DRGs, such as creating a new base MS-DRG, all 
five criteria to create subgroups must be met for the base MS-DRG to be 
split (or subdivided) by a CC subgroup. Therefore, we applied the 
criteria to create subgroups in a base MS-DRG. We note that, as shown 
in the table that follows, a three-way split of this proposed new base 
MS-DRG failed to meet the criterion that at least 500 or more cases are 
in each subgroup. It also failed to meet the criterion that there be at 
least a 20 percent difference in average costs between the CC and NonCC 
(without CC/MCC) subgroup and at least a $2,000 difference in average 
costs between the CC and NonCC (without CC/MCC) subgroup. The following 
table illustrates our findings.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                      Proposed new MS-DRGs                             cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
With MCC........................................................             193             8.2         $68,145
With CC.........................................................             419             2.3          48,415
Without CC/MCC..................................................             452             1.3          47,921
----------------------------------------------------------------------------------------------------------------

    As discussed in section II.C.1.b. of the preamble of this FY 2026 
IPPS/LTCH PPS proposed rule, if the criteria for a three-way split 
fail, the next step is to determine if the criteria are satisfied for a 
two-way split. We therefore applied the criteria for a two-way split 
for the ``with MCC and without MCC'' subgroups. We note that, as shown 
in the table that follows, a two-way split of this base MS-DRG failed 
to meet the criterion that there be at least 500 cases in the with MCC 
subgroup.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                      Proposed new MS-DRGs                             cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
With MCC........................................................             193             8.2         $68,145
Without MCC.....................................................             871             1.8          48,159
----------------------------------------------------------------------------------------------------------------


[[Page 18032]]

    We then applied the criteria for a two-way split for the ``with CC/
MCC'' and ``without CC/MCC'' subgroups. As shown in the table that 
follows, a two-way split of this base MS-DRG failed to meet the 
criterion that there be at least 500 or more cases in the without CC/
MCC subgroup and at least a 20 percent difference in average costs 
between the with CC/MCC and without CC/MCC subgroup.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                      Proposed new MS-DRGs                             cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
With CC/MCC.....................................................             612             4.2         $54,637
Without CC/MCC..................................................             452             1.3          47,921
----------------------------------------------------------------------------------------------------------------

    We note that because the criteria for both of the two-way splits 
failed, a split (or CC subgroup) is not warranted for the proposed new 
base MS-DRG. As a result, for FY 2026, we are proposing to create new 
base MS-DRG 213 (Endovascular Abdominal Aorta and Iliac Branch 
Procedures). The following table reflects a simulation of the proposed 
new base MS-DRG.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                      Proposed new MS-DRGs                             cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
Proposed MS-DRG 213.............................................           1,064             3.0         $51,784
----------------------------------------------------------------------------------------------------------------

b. Concomitant Single Valve Procedure With Open Surgical Ablation
    In the FY 2022 IPPS/LTCH PPS final rule (86 FR 44836 through 
44848), we discussed a two-part request we received to review the MS-
DRG assignments for cases involving the surgical ablation procedure for 
atrial fibrillation. The first part of the request was to create a new 
classification of surgical ablation MS-DRGs to better accommodate the 
costs of open concomitant surgical ablations. The second part of the 
request was to reassign cases describing standalone percutaneous 
endoscopic surgical ablation. In the part of the request relating to 
the costs of open concomitant surgical ablations, the requestor 
identified the following potential procedure combinations that would 
comprise an ``open concomitant surgical ablation'' procedure.

 Open coronary artery bypass graft (CABG) + open surgical 
ablation
 Open mitral valve repair or mitral valve replacement (MVR) + 
open surgical ablation
 Open aortic valve repair or mitral valve replacement (AVR) + 
open surgical ablation
 Open MVR + open AVR + open surgical ablation
 Open MVR + open CABG + open surgical ablation
 Open MVR + open AVR + open CABG + open surgical ablation
 Open AVR + open CABG + open surgical ablation

    As discussed in the FY 2022 IPPS/LTCH PPS final rule, we examined 
claims data from the March 2020 update of the FY 2019 MedPAR file and 
the September 2020 update of the FY 2020 MedPAR file for cases 
reporting procedure code combinations describing open concomitant 
surgical ablations and stated our analysis showed while the average 
lengths of stay and average costs of cases reporting procedure code 
combinations describing open concomitant surgical ablations are higher 
than all cases in their respective MS-DRG, we found variation in the 
volume, length of stay, and average costs of the cases.
    In the FY 2022 IPPS/LTCH PPS final rule, for the reasons discussed, 
we finalized our proposal to revise the surgical hierarchy for the MS-
DRGs in MDC 05 (Diseases and Disorders of the Circulatory System) to 
sequence MS-DRGs 231-236 (Coronary Bypass, with or without PTCA, with 
or without Cardiac Catheterization or Open Ablation, with and without 
MCC, respectively) above MS-DRGs 228 and 229 (Other Cardiothoracic 
Procedures with and without MCC, respectively), effective October 1, 
2021. In addition, we also finalized the assignment of cases with a 
procedure code describing coronary bypass and a procedure code 
describing open ablation to MS-DRGs 233 and 234 and changed the titles 
of these MS-DRGs to ``Coronary Bypass with Cardiac Catheterization or 
Open Ablation with and without MCC, respectively'' to reflect this 
reassignment for FY 2022.
    In the FY 2023 IPPS/LTCH PPS final rule (87 FR 48845 through 
48849), we discussed a request we received to again review the MS-DRG 
assignment of cases involving open concomitant surgical ablation 
procedures. The requestor stated they continue to believe that the 
average hospital costs for surgical ablation for atrial fibrillation 
demonstrates a cost disparity compared to all procedures within their 
respective MS-DRGs. The requestor suggested that when open surgical 
ablation is performed with MVR, or AVR or MVR/AVR + CABG that these 
procedures are either (1) assigned to a different family of MS-DRGs or 
(2) assigned to MS-DRGs 216 and 217 (Cardiac Valve and Other Major 
Cardiothoracic Procedures with Cardiac Catheterization with MCC and 
with CC, respectively) similar to what CMS did with CABG and open 
ablation procedures in the FY 2022 rulemaking to better accommodate the 
added cost of open concomitant surgical ablation.
    We stated our analysis using the September 2021 update of the FY 
2021 MedPAR file reflected that the cases reporting an open concomitant 
surgical ablation code combination are predominately found in the 
higher (CC or MCC) severity level MS-DRGs of their current base MS-DRG 
assignment, suggesting that the patient's co-morbid conditions may also 
be contributing to the higher costs of these cases. Secondly, for the 
numerous procedure combinations that would comprise an ``open 
concomitant surgical ablation'' procedure, the increase in average 
costs appeared to directly correlate with the number of procedures 
performed. For example, cases that describe ``Open MVR + Open surgical 
ablation'' generally demonstrated costs that were lower than cases that 
describe ``Open MVR + Open AVR + Open CABG + Open surgical ablation.''
    Therefore, we stated we believe that additional time was needed to 
allow for further analysis of the claims data to

[[Page 18033]]

determine to what extent the patient's co-morbid conditions are also 
contributing to higher costs and to identify other contributing factors 
that might exist with respect to the increased length of stay and costs 
of these cases in these MS-DRGs. For the reasons summarized, and after 
consideration of the public comments we received, we did not make any 
MS-DRG changes for cases involving the open concomitant surgical 
ablation procedures for FY 2023.
    As discussed in the FY 2024 IPPS/LTCH PPS final rule (88 FR 58681 
through 58690), we again received a request to review the MS-DRG 
assignment of cases involving open concomitant surgical ablation 
procedures. The requestor recommended that CMS reassign open 
concomitant surgical ablation procedures for atrial fibrillation (AF) 
from MS-DRGs 219, 220, and 221 (Cardiac Valve and Other Major 
Cardiothoracic Procedures without Cardiac Catheterization with MCC, 
with CC, and without CC/MCC, respectively) to MS-DRGs 216, 217, and 
218. The requestor further recommended that if CMS does not reassign 
cases involving open concomitant surgical ablation procedures to MS-
DRGs 216, 217, and 218, in the alternative, CMS should create new MS-
DRGs for all open mitral or aortic valve repair or replacement 
procedures with concomitant surgical ablation for AF to improve 
clinical coherence when three to four open heart procedures are 
performed in one setting.
    The requestor stated that cases reporting open surgical ablation 
procedures for AF performed during open valve repair/replacement 
procedures are typically assigned to MS-DRGs 216, 217, 218, 219, 220, 
and 221, with the majority of the cases being assigned to MS-DRGs 219, 
220, and 221 because of the surgical hierarchy in MDC 05 and because 
there is less of a need for cardiac catheterization in these cases. We 
stated in the final rule that the requestor performed its own data 
analysis, and stated their analysis showed that the data continues to 
demonstrate that claims with open surgical ablation procedures for AF 
are not clinically similar to the remaining cases in MS-DRGs 219, 220, 
and 221, and there are significant differences in resource utilization 
that reflect those clinical differences.
    We noted in FY 2024 IPPS/LTCH PPS final rule that our analysis of 
the claims data suggested that it is the performance of an aortic valve 
repair or replacement procedure, a mitral valve repair or replacement 
procedure plus another concomitant procedure that is associated with 
increased hospital resource utilization, not solely the performance of 
open surgical ablation as suggested by the requestor, when compared to 
other cases in their respective MS-DRGs. Therefore, for the reasons 
discussed, we finalized our proposal to create MS-DRG 212 (Concomitant 
Aortic and Mitral Valve Procedures) in MDC 05 for cases reporting an 
aortic valve repair or replacement procedure, a mitral valve repair or 
replacement procedure, and another concomitant procedure.
    For this FY 2026 IPPS/LTCH PPS proposed rule, we again received a 
request to review the MS-DRG assignment of cases involving a single 
open surgical valve procedure with an open surgical ablation. The 
requestor recommended that CMS reassign cases involving a single open 
surgical valve procedure with an open surgical ablation from MS-DRGs 
219, 220, and 221 (Cardiac Valve and Other Major Cardiothoracic 
Procedures without Cardiac Catheterization with MCC, with CC, and 
without CC/MCC, respectively) to MS-DRGs 216, 217, and 218 (Cardiac 
Valve and Other Major Cardiothoracic Procedures with Cardiac 
Catheterization with MCC, with CC, and without CC/MCC, respectively). 
The requestor also suggested that if finalized, the title for MS-DRGs 
216, 217, and 218 should be revised to ``Cardiac valve and Other Major 
Cardiothoracic Procedures with Cardiac Catheterization or Open 
Ablation, with MCC, with CC or without CC/MCC, respectively.''
    The requestor stated MS-DRGs primarily focus on the most resource 
intensive procedure, without fully accounting for the overall resource 
intensity and complexity of all procedures performed and stated 
treating AF as a secondary condition is one such example. The requestor 
stated that AF, if not treated early after diagnosis, continues to 
worsen and is associated with stroke and mortality risk, and 
significantly higher healthcare spending. According to the requestor, a 
majority of AF patients undergoing surgical ablation procedures are 
older and frailer than non-surgical ablation valvular patients, and 
these patients frequently require two or even three procedures during 
one hospital visit to treat multiple conditions (AF, valve disease, 
heart failure, blocked coronaries). The requestor further stated 
patients undergoing multiple cardiac procedures, including surgical 
ablation, typically require between two and four hours of additional 
time in the operating room, a longer length of stay, and are at an 
increased risk for adverse event in recovery and noted that much like 
cardiac catheterization procedures, in many instances adding surgical 
ablation to open valvular procedures also requires an atriotomy to 
better visualize the mitral valve and complete the surgical ablation, 
making these concomitant procedures significantly more complex than 
single valve procedures performed on their own. The requestor stated 
that the current MS-DRG assignments do not adequately pay hospitals for 
the resources associated with furnishing surgical ablation procedures 
and that therefore, it is increasingly becoming financially unviable 
for hospitals to perform these procedures to Medicare beneficiaries in 
a single admission.
    The requestor asserted that reassigning cases involving a single 
open surgical valve procedure with an open surgical ablation, which are 
currently assigned in MS-DRGs 219, 220, and 221, to MS-DRGs 216, 217, 
and 218 would accommodate the clinical complexity of performing two or 
more open heart procedures, would enhance clinical coherence for 
patients undergoing multiple procedures within MDC 05, would more 
accurately reflect associated costs and resource utilization, and would 
help minimize the need for multiple patient admissions. The requestor 
performed its own data analysis of the Standard Analytical File (SAF) 
FY 2022 Q1--Q3 report and stated they identified 1,938 cases involving 
a single open surgical valve procedure with an open surgical ablation 
that were assigned to MS-DRGs 219, 220, and 221. The requestor stated 
their analysis showed that the impact of reassigning the 1,938 cases 
would result in better resource alignment with minimal relative weight 
changes. Specifically, the requestor stated that their analysis showed 
that if the cases involving a single open surgical valve procedure with 
an open surgical ablation that are currently assigned to MS-DRGs 219, 
220, and 221 were reassigned to MS-DRGs 216, 217, and 218, the relative 
weights of MS-DRGs 216, 217, 218, 219, 220, and 221 would change by -
5.35%, -4.48%, -2.59%, +0.47%, -0.93% and -0.12% respectively.
    As previously noted, the requestor recommended that we consider 
cases involving a single open surgical valve procedure with an open 
surgical ablation, however the requestor did not provide a specific 
list of procedure codes for our consideration. Therefore, we reviewed 
the ICD-10-PCS classification and identified 81 procedure codes 
describing open surgical valve procedures and eight procedure codes 
describing open

[[Page 18034]]

surgical ablation procedures. We refer readers to Table 6P.3a 
associated with this FY 2026 IPPS/LTCH PPS proposed rule (which is 
available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps), which sets forth the 
list of ICD-10-PCS procedure codes describing open surgical valve 
procedures and open surgical ablation procedures that we examined.
    To address this request and to understand the resource use for the 
subset of cases reporting procedure codes describing a single open 
surgical valve procedure with an open surgical ablation, without 
reporting a procedure code describing the performance of a cardiac 
catheterization, that are currently grouping to MS-DRGs 219, 220, and 
221, we examined claims data from the September 2024 update of the FY 
2024 MedPAR file for the average length of stay and average costs for 
these cases. Our findings are shown in the following table:

  MS-DRGs 219-221--Cases Reporting an Open Valve Procedure and an Open
  Surgical Ablation Procedure Without Reporting Cardiac Catheterization
------------------------------------------------------------------------
                                                     Average
    MS-DRG                               Number of  length of   Average
                                           cases       stay      costs
------------------------------------------------------------------------
219...........  All cases.............      13,222         10    $69,728
                Cases reporting an           1,657       10.1     67,532
                 open valve procedure
                 and an open surgical
                 ablation procedure
                 without reporting
                 cardiac
                 catheterization.
220...........  All cases.............       9,636        6.2     49,514
                Cases reporting an             999        6.9     53,603
                 open valve procedure
                 and an open surgical
                 ablation procedure
                 without reporting
                 cardiac
                 catheterization.
221...........  All cases.............       1,146        3.6     46,900
                Cases reporting an              41        5.6     48,353
                 open valve procedure
                 and an open surgical
                 ablation procedure
                 without reporting
                 cardiac
                 catheterization.
------------------------------------------------------------------------

    As shown in the table, the data analysis performed indicates that 
the 1,657 cases in MS-DRG 219 reporting an open valve procedure and an 
open surgical ablation procedure, without a procedure code describing 
the performance of a cardiac catheterization, and with a secondary 
diagnosis code designated as an MCC have an average length of stay that 
is longer than the average length of stay for all the cases in MS-DRG 
219 (10.1 days versus 10 days) and lower average costs when compared to 
all the cases in MS-DRG 219 ($67,532 versus $69,728). The difference in 
average costs is $2,196 ($69,728-$67,532 = $2,196) for the cases 
reporting an open valve procedure and an open surgical ablation 
procedure without a procedure code describing the performance of a 
cardiac catheterization, and with a secondary diagnosis code designated 
as a MCC in MS-DRG 219 when compared to all the cases in MS-DRG 219.
    In MS-DRG 220, the 999 cases reporting an open valve procedure and 
an open surgical ablation procedure without a procedure code describing 
the performance of a cardiac catheterization, and with a secondary 
diagnosis code designated as a CC have an average length of stay that 
is longer than the average length of stay for all the cases in MS-DRG 
220 (6.9 days versus 6.2 days) and higher average costs when compared 
to all the cases in MS-DRG 220 ($53,603 versus $49,514). The difference 
in average costs is $4,089 ($53,603-$49,514 = $4,089) for the cases 
reporting an open valve procedure and an open surgical ablation 
procedure without a procedure code describing the performance of a 
cardiac catheterization, and with a secondary diagnosis code designated 
as a CC in MS-DRG 220 when compared to all the cases in MS-DRG 220.
    In MS-DRG 221, the 41 cases reporting an open valve procedure and 
an open surgical ablation procedure without a procedure code describing 
the performance of a cardiac catheterization, and without a secondary 
diagnosis code designated as a CC or MCC have an average length of stay 
that is longer than the average length of stay for all the cases in MS-
DRG 221 (5.6 days versus 3.6 days) and higher average costs when 
compared to all the cases in MS-DRG 221 ($48,353 versus $46,900). The 
difference in average costs is $1,453 ($48,353-$46,900 = $1,453) for 
the cases reporting an open valve procedure and an open surgical 
ablation procedure without a procedure code describing the performance 
of a cardiac catheterization, and without a secondary diagnosis code 
designated as a CC or MCC in MS-DRG 221 when compared to all the cases 
in MS-DRG 221.
    We then examined the data for cases in MS-DRGs 216, 217, and 218, 
and our findings are shown in the following table:

------------------------------------------------------------------------
                                                     Average
    MS-DRG            Description        Number of  length of   Average
                                           cases       stay      costs
------------------------------------------------------------------------
216...........  Cardiac Valve and            5,137       13.6    $88,193
                 Other Major
                 Cardiothoracic
                 Procedures with
                 Cardiac
                 Catheterization with
                 MCC.
217...........  Cardiac Valve and            1,571        6.8     59,943
                 Other Major
                 Cardiothoracic
                 Procedures with
                 Cardiac
                 Catheterization with
                 CC.
218...........  Cardiac Valve and              251        2.9     61,733
                 Other Major
                 Cardiothoracic
                 Procedures with
                 Cardiac
                 Catheterization
                 without CC/MCC.
------------------------------------------------------------------------

    The data analysis performed indicates that the cases in MS-DRGs 
219, 220, and 221 reporting an open valve procedure and an open 
surgical ablation procedure without a procedure code describing the 
performance of a cardiac catheterization have a generally longer 
average length of stay and lower average costs when compared to all 
cases in

[[Page 18035]]

MS-DRGs 216, 217, and 218. As shown in the table, the data analysis 
performed indicates that the 1,657 cases in MS-DRG 219 reporting an 
open valve procedure and an open surgical ablation procedure without a 
procedure code describing the performance of a cardiac catheterization, 
and with a secondary diagnosis code designated as an MCC have a shorter 
average length of stay (10.1 days versus 13.6 days) and lower average 
costs ($67,532 versus $88,193) when compared to all the cases in MS-DRG 
216. The difference in average costs is $20,661 ($88,193-$67,532 = 
$20,661) for the cases reporting an open valve procedure and an open 
surgical ablation procedure without a procedure code describing the 
performance of a cardiac catheterization, and with a secondary 
diagnosis code designated as a MCC in MS-DRG 219 when compared to all 
the cases in MS-DRG 216.
    The 999 cases in MS-DRG 220 reporting an open valve procedure and 
an open surgical ablation procedure without a procedure code describing 
the performance of a cardiac catheterization, and with a secondary 
diagnosis code designated as a CC have a longer average length of stay 
(6.9 days versus 6.8 days) and lower average costs ($53,603 versus 
$59,943) when compared to all the cases in MS-DRG 217. The difference 
in average costs is $6,340 ($59,943-$53,603 = $6,340) for the cases 
reporting an open valve procedure and an open surgical ablation 
procedure without a procedure code describing the performance of a 
cardiac catheterization, and with a secondary diagnosis code designated 
as a CC in MS-DRG 220 when compared to all the cases in MS-DRG 217.
    The 41 cases in MS-DRG 221 reporting an open valve procedure and an 
open surgical ablation procedure without a procedure code describing 
the performance of a cardiac catheterization, and without a secondary 
diagnosis code designated as a CC or MCC have a longer average length 
of stay (5.6 days versus 2.9 days) and lower average costs ($48,353 
versus $61,733) when compared to all the cases in MS-DRG 218. The 
difference in average costs is $13,380 ($61,733-$48,353 = $13,380) for 
the cases reporting an open valve procedure and an open surgical 
ablation procedure without a procedure code describing the performance 
of a cardiac catheterization, and without a secondary diagnosis code 
designated as a CC or MCC in MS-DRG 221 when compared to all the cases 
in MS-DRG 218.
    While the data analysis reflects that cases that report an open 
valve procedure and an open surgical ablation procedure without a 
procedure code describing the performance of a cardiac catheterization 
generally demonstrate slightly higher average costs in their respective 
MS-DRGs, we believe these cases are more suitably grouped to MS-DRGs 
219, 220, and 221 where they are currently assigned, based on the 
closer similarities in resource utilization compared to all the cases 
in their respective MS-DRG. As discussed in prior rulemaking (86 FR 
44878), the MS-DRG system is a system of averages and it is expected 
that within the diagnostic related groups, some cases may demonstrate 
higher than average costs, while other cases may demonstrate lower than 
average costs. We also provide outlier payments to mitigate extreme 
loss on individual cases. Moreover, the data do not indicate cases 
reporting an open valve procedure and an open surgical ablation 
procedure without a procedure code describing the performance of a 
cardiac catheterization utilize similar resources when compared to the 
cases assigned to MS-DRGs 216, 217, and 218. The cases are not 
clinically coherent with regard to resource utilization as reflected in 
the greater differences in average costs.
    Further, in examining this request, we note that the requestor 
suggested that CMS reassign cases reporting an open valve procedure and 
an open surgical ablation procedure without a procedure code describing 
the performance of a cardiac catheterization from MS-DRGs 219, 220, and 
221 (Cardiac Valve and Other Major Cardiothoracic Procedures without 
Cardiac Catheterization with MCC, with CC, and without CC/MCC, 
respectively) to MS-DRGs 216, 217, and 218 for FY 2026, however, as 
discussed in prior rulemaking (86 FR 44830, 87 FR 48847, and 88 FR 
58683), MS-DRGs 216, 217, and 218 are defined by the performance of 
cardiac catheterization. We continue to be concerned about the effect 
on clinical coherence of assigning cases reporting an open valve 
procedure and an open surgical ablation procedure that do not also have 
a cardiac catheterization procedure reported to MS-DRGs that are 
defined by the performance of that procedure. Our claims analysis for 
this FY 2026 IPPS/LTCH PPS proposed rule continues to reflect the 
difference in average costs demonstrated by the two cohorts, as cases 
reporting the performance of a cardiac catheterization in MS-DRGs 216, 
217, and 218 continue to demonstrate higher average costs.
    As stated previously, our analysis of the claims data continues to 
reflect that cases reporting an open valve procedure and an open 
surgical ablation procedure without a procedure code describing the 
performance of a cardiac catheterization are clinically coherent in 
their currently assigned MS-DRGs. Therefore, we are proposing to 
maintain the structure of MS-DRGs 216, 217, and 218 for FY 2026. We are 
also proposing to maintain the title of MS-DRGs 216, 217, and 218 as 
``Cardiac Valve and Other Major Cardiothoracic Procedures with Cardiac 
Catheterization with MCC, with CC, and without CC/MCC, respectively'' 
for FY 2026.
c. Transcatheter Aortic Valve Replacement Procedures for Aortic 
Regurgitation
    Transcatheter aortic valve replacement (TAVR) is a minimally 
invasive procedure that involves a catheter being inserted into an 
artery, without an incision for most cases, and then guided to the 
heart. The catheter delivers the new valve without the need for the 
chest or heart to be surgically opened. For this FY 2026 IPPS/LTCH PPS 
proposed rule, we received a request to reassign cases reporting TAVR 
procedures for aortic regurgitation (AR) from MS-DRGs 266 and 267 
(Endovascular Cardiac Valve Replacement with or without MCC, 
respectively) to what the requester described as a more clinically and 
cost cohesive MS-DRG such as MS-DRG 215 (Other Heart Assist System 
Implant) and to revise the title of MS-DRG 215 to ``Other Heart Assist 
System Implant or Endovascular Cardiac Regurgitant Valve Replacement 
Procedures.''
    According to the requestor, Medicare patients with severe, 
symptomatic AR often present with chronic, congestive heart failure, 
which equates to significantly greater diastolic heart failure, atrial 
fibrillation, and concomitant kidney, liver, and biventricular failure. 
As a result, managing this systemic damage requires a multidisciplinary 
care team, comprising of implanting physicians, cardiac surgeons, 
imaging cardiologists, and heart failure specialists, similar to the 
management required for cases currently assigned to MS-DRG 215. 
Further, the requestor stated TAVR procedures for AR prevent patients 
from devolving into heart failure and are clinically more comparable to 
short term heart assist device support. The requestor stated 
regurgitant valve disease, such as AR, is a whole-heart cardiac disease 
that has systemic manifestations that leads to biventricular heart 
failure and non-cardiac morbidity, while stenotic valve disease, such 
as aortic stenosis (AS), is less often associated with non-cardiac 
dysfunction. According to the requestor,

[[Page 18036]]

managing a diagnosis of AR leads to inpatient lengths of stay that are 
double the duration of the length of stay of patients with AS, as 
management of AS only requires the involvement of the implanting 
physician and the cardiac surgeon.
    The requestor identified TAVR for AR with ICD-10-CM diagnosis code 
I35.1 (Nonrheumatic aortic (valve) insufficiency) and ICD-10-PCS 
procedure code 02RF38Z (Replacement of aortic valve with zooplastic 
tissue, percutaneous approach) and performed their own analysis of the 
FY2023 Final MedPAR data. The requestor stated they found the cases 
reporting a diagnosis of aortic regurgitation in MS-DRG 266 and 267 
have 20% higher average costs (AR = $54,425 versus AS = $45,323), two 
times the length of stay (AR = 5 days versus AS = 2.5 days) and trigger 
outlier payments two times more often (AR = 11.43% versus AS = 5.82%) 
compared to the cases reporting a diagnosis of aortic stenosis in MS-
DRGs 266 and 267. The requestor noted in order to perform their 
analysis, they excluded cases reporting procedure codes describing the 
insertion of a percutaneous short-term external heart assist device by 
removing cases that reported ICD-10-PCS procedure codes 02HA3RZ 
(Insertion of short-term external heart assist system into heart, 
percutaneous approach) and 5A0221D (Assistance with cardiac output 
using impeller pump, continuous) from their analyses, as the requestor 
asserted those procedure codes were reassigned to MS-DRGs 001 and 002 
(Heart Transplant or Implant of Heart Assist System with MCC and 
without MCC, respectively) in FY 2024.
    As stated previously, the requestor identified TAVR procedures for 
AR with ICD-10-CM diagnosis code I35.1 (Nonrheumatic aortic (valve) 
insufficiency) and ICD-10-PCS procedure code 02RF38Z (Replacement of 
aortic valve with zooplastic tissue, percutaneous approach). In 
reviewing this request, we identified five additional ICD-10-CM 
diagnosis codes that also describe aortic regurgitation and included 
these codes in our analysis. The five ICD-10-CM diagnosis codes we 
identified are listed in the following table.

------------------------------------------------------------------------
           ICD-10-CM code                        Description
------------------------------------------------------------------------
I06.1..............................  Rheumatic aortic insufficiency.
I08.0..............................  Rheumatic disorders of both mitral
                                      and aortic valves.
I08.2..............................  Rheumatic disorders of both aortic
                                      and tricuspid valves.
I08.3..............................  Combined rheumatic disorders of
                                      mitral, aortic and tricuspid
                                      valves.
I35.2..............................  Nonrheumatic aortic (valve)
                                      stenosis with insufficiency.
------------------------------------------------------------------------

    Also, we identified eight additional ICD-10-PCS procedure codes 
that describe TAVR procedures as well, and similarly included these 
codes in our analysis. The eight ICD-10-PCS procedure codes we 
identified are listed in the following table.

------------------------------------------------------------------------
          ICD-10-PCS code                        Description
------------------------------------------------------------------------
02RF37H............................  Replacement of aortic valve with
                                      autologous tissue substitute,
                                      transapical, percutaneous
                                      approach.
02RF37Z............................  Replacement of aortic valve with
                                      autologous tissue substitute,
                                      percutaneous approach.
02RF38H............................  Replacement of aortic valve with
                                      zooplastic tissue, transapical,
                                      percutaneous approach.
02RF38N............................  Replacement of aortic valve with
                                      zooplastic tissue, using rapid
                                      deployment technique, percutaneous
                                      approach.
02RF3JH............................  Replacement of aortic valve with
                                      synthetic substitute, transapical,
                                      percutaneous approach.
02RF3JZ............................  Replacement of aortic valve with
                                      synthetic substitute, percutaneous
                                      approach.
02RF3KH............................  Replacement of aortic valve with
                                      nonautologous tissue substitute,
                                      transapical, percutaneous
                                      approach.
02RF3KZ............................  Replacement of aortic valve with
                                      nonautologous tissue substitute,
                                      percutaneous approach.
------------------------------------------------------------------------

    To begin our analysis, we reviewed the GROUPER logic. The requestor 
is correct that nine ICD-10-PCS codes that describe TAVR procedures 
mentioned previously are currently assigned to MS-DRGs 266 and 267. The 
requestor is also correct that in the FY 2024 IPPS/LTCH PPS final rule 
(88 FR 58690 through 58696), we discussed a request we received to 
reassign certain cases reporting procedure codes describing the 
insertion of a short-term external heart assist device from MS-DRG 215 
to MS-DRGs 001 and 002. We stated temporary heart assist devices are 
intended to support blood pressure and provide increased blood flow to 
critical organs in patients with cardiogenic shock, by drawing blood 
out of the heart and pumping it into the aorta, partially or fully 
bypassing the left ventricle to provide adequate circulation of blood 
(replace or supplement left ventricle pumping) while also allowing 
damaged heart muscle the opportunity to rest and recover in patients 
who need short-term support.
    In the FY 2024 IPPS/LTCH PPS final rule, we stated that we examined 
the claims data and the data suggested that overall, cases reporting a 
procedure code describing the open insertion of a short-term external 
heart assist device may be more appropriately aligned with the average 
costs of the cases in MS-DRGs 001 and 002 in comparison to MS-DRG 215, 
even though the average length of stay is shorter. We also stated that 
we reviewed the clinical considerations along with this data analysis 
and agreed that cases reporting a procedure code that describes the 
open insertion of a short-term external heart assist device are 
generally more resource intensive and are clinically distinct from 
other cases reporting procedure codes describing the insertion of 
short-term external heart devices by other approaches currently 
assigned to MS-DRG 215. Therefore, for the reasons discussed and after 
consideration of the public comments we received, we finalized our 
proposal to reassign ICD-10-PCS code 02HA0RZ (Insertion of short-term 
external heart assist system into heart, open approach) from MS-DRG 215 
in MDC 05 to Pre-MDC MS-DRGs 001 and 002 when reported as a standalone 
procedure for FY 2024. Under this finalization, procedure code 02HA0RZ 
no longer needs to be reported as part of a procedure code combination 
or procedure code ``cluster'' to satisfy the logic for assignment to 
MS-DRGs 001 and 002. We refer the reader to the ICD-

[[Page 18037]]

10 MS-DRG Definitions Manual, Version 42.1 (available on the CMS 
website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software) for 
complete documentation of the GROUPER logic for MS-DRGs 001, 002, 215, 
266 and 267.
    While the requestor stated that procedure code 02HA3RZ (Insertion 
of short-term external heart assist system into heart, percutaneous 
approach) and procedure code 5A0221D (Assistance with cardiac output 
using impeller pump, continuous) were reassigned to MS-DRGs 001 and 002 
(Heart Transplant or Implant of Heart Assist System with MCC and 
without MCC, respectively) in FY 2024, we note that our finalization in 
the FY 2024 IPPS/LTCH PPS final rule did not involve modifying the MS-
DRG assignment of procedure code 02HA3RZ or procedure code 5A0221D. In 
Version 42.1, cases reporting procedure codes 02HA3RZ and 5A0221D, 
continue to be assigned to MS-DRG 215. We refer the reader to Appendix 
E of the ICD-10 MS-DRG Definitions Manual, Version 42.1 (available on 
the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software) for the MS-DRG assignments of procedure codes 02HA0RZ, 
02HA3RZ, and 5A0221D.
    Next, we examined claims data from the September 2024 update of the 
FY 2024 MedPAR file for MS-DRG 266 and 267 to identify cases reporting 
one of the six ICD-10-CM codes listed previously that describe aortic 
regurgitation as a principal or a secondary diagnosis with one of the 
nine procedure codes that describe a TAVR procedure. Our findings are 
shown in the following table:

  MS-DRGs 266-267--All Cases and Cases Reporting a Procedure Code Describing TAVR With a Principal or Secondary
                                        Diagnosis of Aortic Regurgitation
----------------------------------------------------------------------------------------------------------------
                                                                                      Average
             MS-DRG                                                  Number of       length of    Average  costs
                                                                       cases           stay
----------------------------------------------------------------------------------------------------------------
266............................  All cases......................          22,083             4.5         $55,402
                                 Cases reporting a procedure               3,616             5.7          56,010
                                  code describing TAVR with a
                                  principal or secondary
                                  diagnosis of aortic
                                  regurgitation.
267............................  All Cases......................          36,405             1.5          43,282
                                 Cases reporting a procedure               4,521             1.6          41,189
                                  code describing TAVR with a
                                  principal or secondary
                                  diagnosis of aortic
                                  regurgitation.
----------------------------------------------------------------------------------------------------------------

    As shown in the table, in MS-DRG 266, we identified a total of 
22,083 cases with an average length of stay of 4.5 days and average 
costs of $55,402. Of those 22,083 cases, there were 3,616 cases 
reporting a procedure code describing TAVR with a principal or 
secondary diagnosis of aortic regurgitation, with average costs higher 
than the average costs in the FY 2024 MedPAR file for MS-DRG 266 
($56,010 compared to $55,402) and a longer average length of stay (5.7 
days compared to 4.5 days). In MS-DRG 267, we identified a total of 
36,405 cases with an average length of stay of 1.5 days and average 
costs of $43,282. Of those 36,405 cases, there were 3,616 cases 
reporting a procedure code describing TAVR with a principal or 
secondary diagnosis of aortic regurgitation, with average costs lower 
than the average costs in the FY 2024 MedPAR file for MS-DRG 267 
($41,189 compared to $43,282) and a longer average length of stay (1.6 
days compared to 1.5 days).
    We then examined claims data from the September 2024 update of the 
FY 2024 MedPAR for MS-DRG 215. Our findings are shown in the following 
table.

----------------------------------------------------------------------------------------------------------------
                                                                                      Average
                             MS-DRG                                  Number of      length  of    Average  costs
                                                                       cases           stay
----------------------------------------------------------------------------------------------------------------
215.............................................................           3,257             8.2         $87,701
----------------------------------------------------------------------------------------------------------------

    Our analysis indicates that the cases assigned to MS-DRG 215 have 
much higher average costs ($87,701 versus $56,010 or $41,189) and a 
much longer length of stay (8.2 days versus 5.7 days or 1.6 days) than 
the cases reporting a procedure code describing TAVR with a principal 
or secondary diagnosis of aortic regurgitation currently assigned to 
MS-DRGs 266 or 267, respectively. Instead, the average costs and 
average length of stay for cases reporting a procedure code describing 
TAVR with a principal or secondary diagnosis of aortic regurgitation 
appear to be generally more aligned with the average costs and average 
length of stay for all cases in MS-DRGs 266 and 267, where they are 
currently assigned.
    In addition, based on our review of the clinical considerations, we 
do not believe the procedure codes describing a TAVR are clinically 
coherent with the procedure codes currently assigned to MS-DRG 215. 
Heart assist devices, such as ventricular assist devices and artificial 
heart systems, provide circulatory support by taking over most of the 
workload of the left ventricle. Blood enters the pump through an inflow 
conduit connected to the left ventricle and is ejected through an 
outflow conduit into the body's arterial system. Heart assist devices 
can provide temporary left, right, or biventricular support for 
patients whose hearts have failed and can also be used as a bridge for 
patients who are awaiting a heart transplant. While we agree that TAVR 
can be a treatment option for patients with severe AR who are at high 
risk for mortality or complications due to advanced age and multiple 
comorbidities, we do not believe the procedure codes describing TAVR 
should be assigned to MS-DRG 215. AR is a condition where the aortic 
valve doesn't close properly causing blood to leak back into the heart. 
While we acknowledge that if not treated AR can gradually worsen and 
lead to left ventricular enlargement and eventually heart failure, we 
believe that patients

[[Page 18038]]

with indications for heart assist devices tend to be more severely ill 
and these inpatient admissions are associated with greater resource 
utilization as evidenced by the higher average costs and longer lengths 
of stay. Therefore, for the reasons stated previously, we are proposing 
to maintain the GROUPER logic for MS-DRGs 266 and 267 for FY 2026. We 
are also proposing to maintain the title of MS-DRGs 215 as ``Other 
Heart Assist System Implant'' for FY 2026.
d. Percutaneous Coronary Atherectomy
    In the FY 2024 IPPS/LTCH PPS final rule (88 FR 58704 through 
58712), we discussed a request we received to review the MS-DRG 
assignment of cases describing percutaneous coronary intravascular 
lithotripsy (IVL). Coronary IVL is utilized in a subset of percutaneous 
coronary intervention (PCI) procedures when the artery is severely 
calcified. According to the requestor, PCIs involving coronary IVL are 
clinically more complex because coronary IVL is a therapy deployed 
exclusively in severely calcified coronary lesions, and these lesion 
types are associated with longer procedure times and increased 
utilization of hospital resources. In analyzing this request, we stated 
in the FY 2024 IPPS/LTCH PPS final rule that the data analysis showed 
that the average costs of cases reporting percutaneous coronary IVL, 
with or without involving the insertion of an intraluminal device, were 
higher than for all cases in their respective MS-DRG. Therefore for FY 
2024, taking into consideration that it clinically requires greater 
resources to perform coronary intravascular lithotripsy, and after 
consideration of the public comments we received, we finalized our 
proposal to create MS-DRG 323 (Coronary Intravascular Lithotripsy with 
Intraluminal Device with MCC), MS-DRG 324 (Coronary Intravascular 
Lithotripsy with Intraluminal Device without MCC) and MS-DRG 325 
(Coronary Intravascular Lithotripsy without Intraluminal Device) in MDC 
05.
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69000 through 
69002), we discussed requests to modify the GROUPER logic in a number 
of cardiac MS-DRGs under MDC 05 (Diseases and Disorders of the 
Circulatory System) for which we stated further research and analysis 
were required, and which we would continue to consider in connection 
with future rulemaking. Specifically, we discussed requests we received 
to modify the GROUPER logic of MS-DRGs 323, 324, and 325. In two 
separate but related requests, the requestors suggested that we add 
procedure codes that describe additional PCI procedures, such as 
percutaneous coronary rotational, laser, and orbital atherectomy, to 
the GROUPER logic of new MS-DRGs 323, 324, and 325.
    In the FY 2025 IPPS/LTCH PPS final rule, we noted that as stated in 
prior rule making (88 FR 58708), atherectomy is distinct from coronary 
lithotripsy in that each of these procedures are defined by clinically 
distinct definitions and objectives. We stated additional analysis to 
assess for unintended consequences across the classification was needed 
as we have made a distinction between the root operations used to 
describe atherectomy (Extirpation) and the root operation used to 
describe lithotripsy (Fragmentation) in evaluating other requests in 
rulemaking. We stated we would need to consider the application of 
these two root operations in other scenarios where we have also 
specifically stated that Extirpation is not the same as Fragmentation 
and do not warrant similar MS-DRG assignment (85 FR 58572 through 
58573). Furthermore, as MS-DRGs 323, 324, and 325 had recently become 
effective on October 1, 2023 (FY 2024), we stated additional time was 
needed to review and evaluate extensive modifications to the structure 
of these MS-DRGs.
    For this FY 2026 IPPS/LTCH PPS proposed rule, we received a request 
to reassign percutaneous coronary atherectomy procedures from MS-DRGs 
250 and 251 (Percutaneous Cardiovascular Procedures without 
Intraluminal Device with MCC and without MCC, respectively) and MS-DRGs 
321 and 322 (Percutaneous Cardiovascular Procedures with Intraluminal 
Device with MCC or 4+ Arteries/Intraluminal Devices and without MCC, 
respectively) to MS-DRGs 323, 324, and 325 where cases reporting 
percutaneous coronary IVL are assigned. Atherectomy is a procedure used 
to remove plaque buildup from the inside of arteries. The requestor 
stated that coronary atherectomy and coronary IVL target the same step 
of the PCI treatment process (that is, reducing the burden of calcium 
by preparing the vessel prior to stent delivery). The requestor further 
stated that coronary atherectomy is more clinically similar to coronary 
IVL than other routine vessel preparation techniques (such as 
angioplasty) in that both coronary atherectomy and coronary IVL are 
used to modify severe coronary calcium, treat the same patient 
population, and have the same intended clinical use for complex vessel 
preparation. Complex vessel preparation is required to increase the 
diameter of an artery's lumen in severely calcified lesions and 
improves revascularization by debulking calcification which enables 
better intraluminal device deployment and improved drug uptake into the 
vessel wall. Similar to lithotripsy, after percutaneous atherectomy is 
performed, the provider can implant an intraluminal device, also called 
a stent, to keep the vessel open.
    According to the requestor, removing percutaneous coronary 
atherectomy procedures from their current MS-DRG assignments and 
assigning them to MS-DRGs 323, 324, and 325 would reduce cost variance 
and improve clinical coherence across all PCI MS-DRGs. The requestor 
also stated that as atherectomy procedures involve more complex 
calcified lesions and require greater resources, it is not clinically 
or cost coherent to maintain their current MS-DRG assignments, 
therefore creating a new MS-DRG for all cases involving percutaneous 
coronary atherectomy procedures was a reasonable alternative option if 
CMS did not agree with the reassignment of these cases to MS-DRGs 323, 
324, and 325.
    The requestor identified eight ICD-10-PCS codes that they state 
describe percutaneous coronary atherectomy. The eight codes the 
requestor identified are listed in the following table.

------------------------------------------------------------------------
          ICD-10-PCS  code                       Description
------------------------------------------------------------------------
02C03Z7............................  Extirpation of matter from coronary
                                      artery, one artery, orbital
                                      atherectomy technique,
                                      percutaneous approach.
02C03ZZ............................  Extirpation of matter from coronary
                                      artery, one artery, percutaneous
                                      approach.
02C13Z7............................  Extirpation of matter from coronary
                                      artery, two arteries, orbital
                                      atherectomy technique,
                                      percutaneous approach.
02C13ZZ............................  Extirpation of matter from coronary
                                      artery, two arteries, percutaneous
                                      approach.
02C23Z7............................  Extirpation of matter from coronary
                                      artery, three arteries, orbital
                                      atherectomy technique,
                                      percutaneous approach.
02C23ZZ............................  Extirpation of matter from coronary
                                      artery, three arteries,
                                      percutaneous approach.
02C33Z7............................  Extirpation of matter from coronary
                                      artery, four or more arteries,
                                      orbital atherectomy technique,
                                      percutaneous approach.

[[Page 18039]]

 
02C33ZZ............................  Extirpation of matter from coronary
                                      artery, four or more arteries,
                                      percutaneous approach.
------------------------------------------------------------------------

    While we agree with the requestor that the eight procedure codes 
listed in the previous table describe percutaneous coronary 
atherectomy, we note there are additional ICD-10-PCS codes that 
describe percutaneous coronary atherectomy in the GROUPER logic for MS-
DRGs 250, 251, 321, and 322. Therefore, in reviewing this request, we 
identified 12 additional ICD-10-PCS procedure codes that also describe 
percutaneous or percutaneous endoscopic coronary atherectomy procedures 
and included these codes in our analysis. The 12 codes we identified 
are listed in the following table.

------------------------------------------------------------------------
          ICD-10-PCS code                        Description
------------------------------------------------------------------------
02C03Z6............................  Extirpation of matter from coronary
                                      artery, one artery, bifurcation,
                                      percutaneous approach.
02C04Z6............................  Extirpation of matter from coronary
                                      artery, one artery, bifurcation,
                                      percutaneous endoscopic approach.
02C04ZZ............................  Extirpation of matter from coronary
                                      artery, one artery, percutaneous
                                      endoscopic approach.
02C13Z6............................  Extirpation of matter from coronary
                                      artery, two arteries, bifurcation,
                                      percutaneous approach.
02C14Z6............................  Extirpation of matter from coronary
                                      artery, two arteries, bifurcation,
                                      percutaneous endoscopic approach.
02C14ZZ............................  Extirpation of matter from coronary
                                      artery, two arteries, percutaneous
                                      endoscopic approach.
02C23Z6............................  Extirpation of matter from coronary
                                      artery, three arteries,
                                      bifurcation, percutaneous
                                      approach.
02C24Z6............................  Extirpation of matter from coronary
                                      artery, three arteries,
                                      bifurcation, percutaneous
                                      endoscopic approach.
02C24ZZ............................  Extirpation of matter from coronary
                                      artery, three arteries,
                                      percutaneous endoscopic approach.
02C33Z6............................  Extirpation of matter from coronary
                                      artery, four or more arteries,
                                      bifurcation, percutaneous
                                      approach.
02C34Z6............................  Extirpation of matter from coronary
                                      artery, four or more arteries,
                                      bifurcation, percutaneous
                                      endoscopic approach.
02C34ZZ............................  Extirpation of matter from coronary
                                      artery, four or more arteries,
                                      percutaneous endoscopic approach.
------------------------------------------------------------------------

    We refer the reader to the ICD-10 MS-DRG Definitions Manual, 
Version 42.1 (available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software) for complete documentation of the 
GROUPER logic for MS-DRGs 250, 251, 321, and 322.
    To begin our analysis, we examined claims data from the September 
2024 update of the FY 2024 MedPAR file for MS-DRGs 250, 251, 321, and 
322 to identify cases reporting a procedure code describing 
percutaneous or percutaneous endoscopic coronary atherectomy and 
compared the results to all cases in their respective MS-DRG. Our 
findings are shown in the following table.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
             MS-DRG                                                    cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
250............................  All cases......................           3,047             4.4         $21,383
                                 Cases reporting percutaneous or             493             4.6          25,139
                                  percutaneous endoscopic
                                  coronary atherectomy.
251............................  All cases......................           2,515             2.4          14,521
                                 Cases reporting percutaneous or             340             2.5          18,121
                                  percutaneous endoscopic
                                  coronary atherectomy.
321............................  All cases......................          32,517             5.0          26,309
                                 Cases reporting percutaneous or           3,307             5.1          31,886
                                  percutaneous endoscopic
                                  coronary atherectomy.
322............................  All cases......................          46,600             2.4          16,792
                                 Cases reporting percutaneous or           3,134             2.5          20,889
                                  percutaneous endoscopic
                                  coronary atherectomy.
----------------------------------------------------------------------------------------------------------------

    As shown by the table, in MS-DRG 250, we identified a total of 
3,047 cases, with an average length of stay of 4.4 days and average 
costs of $21,383. Of those 3,047 cases, there were 493 cases reporting 
percutaneous or percutaneous endoscopic coronary atherectomy without 
reporting the insertion of an intraluminal device, with higher average 
costs as compared to all cases in MS-DRG 250 ($25,139 compared to 
$21,383), and a longer average length of stay (4.6 days compared to 4.4 
days). In MS-DRG 251, we identified a total of 2,515 cases with an 
average length of stay of 2.4 days and average costs of $14,521. Of 
those 2,515 cases, there were 340 cases reporting percutaneous or 
percutaneous endoscopic coronary atherectomy without reporting the 
insertion of an intraluminal device, with higher average costs as 
compared to all cases in MS-DRG 251 ($18,121 compared to $14,521), and 
a longer average length of stay (2.5 days compared to 2.4 days).
    In MS-DRG 321, we identified a total of 32,517 cases with an 
average length of stay of 5.0 days and average costs of $26,309. Of 
those 32,517 cases, there were 3,307 cases reporting percutaneous or 
percutaneous endoscopic coronary atherectomy with the insertion of an 
intraluminal device, with higher average costs as compared to all cases 
in MS-DRG 321 ($31,886 compared to $26,309), and a longer average 
length of stay (5.1 days compared to 5.0 days). In MS-DRG 322, we 
identified a total of 46,600 cases with an average length of stay of 
2.4 days and average costs of $16,792. Of those 46,600 cases, there 
were 3,134 cases reporting percutaneous or percutaneous endoscopic 
coronary atherectomy with the insertion of an

[[Page 18040]]

intraluminal device, with higher average costs as compared to all cases 
in MS-DRG 322 ($20,889 compared to $16,792), and a longer average 
length of stay (2.5 days compared to 2.4 days). The data analysis shows 
that the average costs of cases reporting percutaneous or percutaneous 
endoscopic coronary atherectomy, with or without involving the 
insertion of an intraluminal device, are higher than for all cases in 
their respective MS-DRG.
    We then examined claims data from the September 2024 update of the 
FY 2024 MedPAR file for MS-DRGs 323, 324, and 325. Our findings are 
shown in the following table.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                             MS-DRG                                    cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
323.............................................................           4,429             6.0         $39,047
324.............................................................           4,877             2.9          28,809
325.............................................................             646             3.9          29,362
----------------------------------------------------------------------------------------------------------------

    In MS-DRG 323, we found a total of 4,429 cases with an average 
length of stay of 6.0 days and average costs of $39,047. In MS-DRG 324, 
we found a total of 4,877 cases with an average length of stay of 2.9 
days and average costs of $28,809. In MS-DRG 325, we found a total of 
646 cases with an average length of stay of 3.9 days and average costs 
of $29,362.
    The average costs of the 3,307 cases reporting percutaneous or 
percutaneous endoscopic coronary atherectomy with the insertion of an 
intraluminal device in MS-DRG 321 are $7,161 less than the average 
costs of all cases in MS-DRG 323 ($39,047-$31,886 = $7,161) and have an 
average length of stay that is less than the average length of stay of 
all cases in MS-DRG 323 (5.1 days versus 6.0 days). The average costs 
of the 3,134 cases reporting percutaneous or percutaneous endoscopic 
coronary atherectomy with the insertion of an intraluminal device in 
MS-DRG 322 are $7,920 less than the average costs of all cases in MS-
DRG 324 ($28,809-$20,899 = $7,920) and have an average length of stay 
that is less than the average length of stay of all cases in MS-DRG 324 
(2.5 days versus 2.9 days). The average costs of the 493 cases in MS-
DRG 250 and the 340 cases in MS-DRG 251 reporting percutaneous or 
percutaneous endoscopic coronary atherectomy without reporting a 
procedure code describing the insertion of an intraluminal device are 
$4,223 and $11,241 less than the average costs of all cases in MS-DRG 
325 ($29,362-$25,139 = $7,920; $29,362-$18,121 = $11,241), 
respectively. These 493 cases in MS-DRG 250 have an average length of 
stay that is more than the average length of stay of all cases in MS-
DRG 325 (4.6 days versus 3.9 days) while the 340 cases in MS-DRG 251 
have an average length of stay that is less than the average length of 
stay of all cases in MS-DRG 325 (2.5 days versus 3.9 days).
    Upon analysis of the claims data and our review of the request, we 
do not agree with reassigning cases reporting percutaneous or 
percutaneous endoscopic coronary atherectomy from MS-DRGs 250, 251, 
321, and 322 to MS-DRGs 323, 324, and 325. While we agree that the 
performance of percutaneous or percutaneous endoscopic coronary 
atherectomy contributes to increased resource consumption for these PCI 
procedures, as previously noted, the data do not support that cases 
reporting percutaneous or percutaneous endoscopic coronary atherectomy, 
with or without involving the insertion of an intraluminal device, 
utilize similar resources when compared to coronary IVL procedures 
currently assigned to MS-DRGs 323, 324, and 325. Additionally, as 
stated previously and in prior rule making (88 FR 58708), coronary 
atherectomy is distinct from coronary lithotripsy in that each of these 
procedures are defined by clinically distinct definitions and 
objectives. We continue to believe that the root operation Extirpation 
is not the same as the root operation Fragmentation and do not warrant 
similar MS-DRG assignment (85 FR 58572 through 58573).
    We then explored alternative options, as was requested. As 
discussed in prior rulemaking (88 FR 58706), we continue to agree that 
clinically, the presence of severe calcification can increase the 
treatment difficulty and complexity of service. The data analysis 
clearly shows that cases reporting percutaneous or percutaneous 
endoscopic coronary atherectomy, with or without involving the 
insertion of an intraluminal device, have higher average costs and 
longer lengths of stay compared to all the cases in their assigned MS-
DRG. For these reasons, we are proposing to create new MS-DRGs for 
cases reporting procedure codes describing percutaneous or percutaneous 
endoscopic coronary atherectomy involving the insertion of an 
intraluminal device, as well as a new MS-DRG for cases reporting 
procedure codes describing percutaneous or percutaneous endoscopic 
coronary atherectomy without the insertion of an intraluminal device to 
address the differential in resource consumption.
    To compare and analyze the impact of our suggested modifications, 
we ran a simulation using the most recent claims data from the 
September 2024 update of the FY 2024 MedPAR file. The following table 
illustrates our findings for all 6,441 cases reporting procedure codes 
describing percutaneous or percutaneous endoscopic atherectomy 
involving the insertion of an intraluminal device.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                       Proposed new MS-DRG                             cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
Proposed new MS-DRG XXX Percutaneous Coronary Atherectomy with             6,441             3.8         $26,535
 Intraluminal Device............................................
----------------------------------------------------------------------------------------------------------------

    We applied the criteria to create subgroups in a base MS-DRG as 
discussed in section II.C.1.b. of the preamble of this FY 2026 IPPS/
LTCH PPS proposed rule. As shown, a three-way split of the proposed new 
MS-DRG failed to meet the criterion that there be at least a 20% 
difference in average costs between the CC and NonCC subgroup.

[[Page 18041]]



----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                       Proposed new MS-DRG                             cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
With MCC........................................................           3,307             5.1         $31,886
With CC.........................................................           1,861             2.8          21,961
Without CC/MCC..................................................           1,273               2          19,322
----------------------------------------------------------------------------------------------------------------

    As discussed in section II.C.1.b. of the preamble of this FY 2026 
IPPS/LTCH PPS proposed rule, if the criteria for a three-way split 
fail, the next step is to determine if the criteria are satisfied for a 
two-way split. We therefore applied the criteria for a two-way split 
for the ``with MCC'' and ``without MCC'' subgroups and found that all 
five criteria were met. The following table illustrates our findings.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                       Proposed new MS-DRG                             cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
With MCC........................................................           3,307             5.1         $31,886
Without MCC.....................................................           3,134             2.5          20,889
----------------------------------------------------------------------------------------------------------------

    For the proposed new MS-DRGs for cases reporting procedure codes 
describing percutaneous or percutaneous endoscopic atherectomy 
involving the insertion of an intraluminal device, there is at least 
(1) 500 cases in the MCC subgroup and 500 cases in the without MCC 
subgroup; (2) 5 percent of the cases in the MCC group and 5 percent in 
the without MCC subgroup; (3) a 20 percent difference in average costs 
between the MCC group and the without MCC group; (4) a $2,000 
difference in average costs between the MCC group and the without MCC 
group; and (5) a 3-percent reduction in cost variance, indicating that 
the proposed severity level splits increase the explanatory power of 
the base MS-DRG in capturing differences in expected cost between the 
proposed MS-DRG severity level splits by at least 3 percent and thus 
improve the overall accuracy of the IPPS payment system.
    We then ran a simulation using the most recent claims data from the 
September 2024 update of the FY 2024 MedPAR file for all 833 cases 
reporting procedure codes describing percutaneous or percutaneous 
endoscopic atherectomy without the insertion of an intraluminal device. 
The following table illustrates our findings.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                       Proposed new MS-DRG                             cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
Proposed new MS-DRG XXX Percutaneous Coronary Atherectomy                    833             3.7         $22,275
 without Intraluminal Device....................................
----------------------------------------------------------------------------------------------------------------

    We applied the criteria to create subgroups in a base MS-DRG as 
discussed in section II.C.1.b. of the preamble of this FY 2026 IPPS/
LTCH PPS proposed rule. As shown, a three-way split of the proposed new 
MS-DRG failed to meet the criterion that there be at least 500 cases in 
the MCC subgroup, CC subgroup, and NonCC subgroup.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                      Proposed new MS-DRGs                             cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
With MCC........................................................             493             4.6         $25,139
With CC.........................................................             257             2.7          19,080
Without CC/MCC..................................................              83               2          15,151
----------------------------------------------------------------------------------------------------------------

    As discussed in section II.C.1.b. of the preamble of this FY 2026 
IPPS/LTCH PPS proposed rule, if the criteria for a three-way split 
fail, the next step is to determine if the criteria are satisfied for a 
two-way split. We therefore applied the criteria for a two-way split 
for the ``with MCC'' and ``without MCC'' subgroups. We note that, as 
shown in the table that follows, a two-way split of this base MS-DRG 
failed to meet the criterion that there be at least 500 cases in the 
with MCC and the without MCC subgroups.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                      Proposed new MS-DRGs                             cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
With MCC........................................................             493             4.6         $25,139
Without MCC.....................................................             340             2.5          18,121
----------------------------------------------------------------------------------------------------------------

    We then applied the criteria for a two-way split for the ``with CC/
MCC'' and ``without CC/MCC'' subgroups. As shown in the table that 
follows, a two-way split of this base MS-DRG also failed to meet the 
criterion that there be

[[Page 18042]]

at least 500 cases in the without CC/MCC subgroup.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                      Proposed new MS-DRGs                             cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
With CC/MCC.....................................................             750             3.9         $23,063
Without CC/MCC..................................................              83               2          15,151
----------------------------------------------------------------------------------------------------------------

    We note that because the criteria for both of the two-way splits 
failed, a split (or CC subgroup) is not warranted for the proposed new 
base MS-DRG. As a result, for FY 2026, we are proposing to create a 
base MS-DRG for cases reporting procedure codes describing percutaneous 
or percutaneous endoscopic atherectomy without the insertion of an 
intraluminal device.
    In summary, for FY 2026, taking into consideration that it 
clinically requires greater resources to perform percutaneous or 
percutaneous endoscopic coronary atherectomy, we are proposing to 
create two new MS-DRGs with a two-way severity level split for cases 
describing percutaneous or percutaneous endoscopic coronary atherectomy 
involving the insertion of an intraluminal device in MDC 05. We are 
also proposing to create a new base MS-DRG for cases describing 
percutaneous or percutaneous endoscopic coronary atherectomy without an 
intraluminal device. These proposed new MS-DRGs are proposed new MS-DRG 
359 (Percutaneous Coronary Atherectomy with Intraluminal Device with 
MCC), proposed new MS-DRG 360 (Percutaneous Coronary Atherectomy with 
Intraluminal Device without MCC) and proposed new MS-DRG 318 
(Percutaneous Coronary Atherectomy without Intraluminal Device). We 
refer the reader to Table 6P.4a and Table 6P.4b associated with this FY 
2026 IPPS/LTCH PPS proposed rule (which is available on the CMS website 
at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index) for the list of procedure codes we are 
proposing to define in the logic for each of the proposed new MS-DRGs. 
We note that discussion of the surgical hierarchy for the proposed 
modification is discussed in section II.C.10. of the preamble of this 
FY 2026 IPPS/LTCH PPS proposed rule.
e. Complex Aortic Arch Procedures
    For this FY 2026 IPPS/LTCH PPS proposed rule, we received two 
separate but related requests to review and reconsider the MS-DRG 
assignments for a subset of codes describing aortic arch procedures 
assigned to MS DRGs 216, 217, 218, 219, 220, and 221 (Cardiac Valve & 
Other Major Cardiothoracic Procedure with and without Cardiac 
Catheterization, with MCC, with CC, without CC/MCC, respectively). In 
this section of the preamble of this FY 2026 IPPS/LTCH PPS proposed 
rule, we discuss each of these separate, but related requests.
    The first request was to reassign cases reporting a procedure code 
describing endovascular restriction of the thoracic aorta with a 
branched or fenestrated intraluminal device from MS-DRGs 219, 220, and 
221 (Cardiac Valve and Other Major Cardiothoracic Procedures without 
Cardiac Catheterization with MCC, with CC, and without CC/MCC, 
respectively) to MS-DRG 216 (Cardiac Valve and Other Major 
Cardiothoracic Procedures with Cardiac Catheterization with MCC). 
Alternatively, the requestor stated CMS could consider reassigning 
other similar complex aortic arch branch procedures to MS-DRG 216. The 
requestor suggested that if finalized, the title for MS-DRG 216 should 
be revised to reflect ``Cardiac Valve and Other Major Cardiothoracic 
Procedures with Cardiac Catheterization with MCC or with Aortic Arch 
Branch Intraluminal Device.''
    According to the requestor, the manufacturer of the GORE[supreg] 
TAG[supreg] Thoracic Branch Endoprosthesis (TBE), reassignment of the 
procedure code describing endovascular restriction of the thoracic 
aorta with a branched or fenestrated intraluminal device to MS-DRG 216 
would result in higher payment and better account for the differences 
in resource use of the cases reporting this procedure than other cases 
in their respective MS-DRGs where they are currently assigned. The 
GORE[supreg] TAG[supreg] TBE provides endovascular repair of 
pathologies of the descending thoracic aorta requiring a proximal 
landing zone including the left subclavian artery. It is a modular 
device that consists of three implantable fabric tubes supported by a 
nitinol framework. The GORE[supreg] TAG[supreg] TBE is indicated for 
endovascular repair of lesions such as aortic aneurysms, traumatic 
transections, and dissections of the descending thoracic aorta with 
treatment extending to the aortic arch, while maintaining flow into the 
left subclavian artery (Zone 2 of the aortic arch), in patients who are 
at high risk for debranching subclavian procedures and who have 
appropriate anatomy. According to the requestor, patients with lesions 
in the aortic arch are often more clinically complex and more difficult 
to treat than patients with lesions in lower parts of the aorta due to 
vascular tortuosity, proximity to the heart, involvement of arch 
vessels that feed into the head and brain, and risk of stroke and 
paraplegia or paraparesis from emboli released into arteries that 
provide blood flow to the left arm and head. The requestor stated that 
for lesions involving the left subclavian artery, the only other 
treatment options available today include open surgical repair with a 
synthetic graft or a hybrid procedure which includes a non-branched 
endovascular device and an open surgical bypass procedure of the head 
vessels. Per the requestor, for arch lesions involving the 
brachiocephalic and left common carotid arteries, a TBE device enables 
hybrid treatment with one fewer bypass procedure.
    The requestor identified cases reporting endovascular restriction 
of the thoracic aorta with a branched or fenestrated intraluminal 
device by the presence of ICD-10-PCS codes 02VX3EZ (Restriction of 
thoracic aorta, ascending/arch with branched or fenestrated 
intraluminal device, one or two arteries, percutaneous approach) and 
02VW3DZ (Restriction of thoracic aorta, descending with intraluminal 
device, percutaneous approach) on the same claim and performed its own 
analysis of the claims data. The requestor stated they found 90 cases 
reporting endovascular restriction of the thoracic aorta with a 
branched or fenestrated intraluminal device, and these cases are 49% 
(+$32,326), 60% (+$27,727), and 38% (+$15,432) more costly compared to 
all cases in MS-DRGs 219, 220, and 221, respectively. While 
acknowledging that cases reporting endovascular restriction of the 
thoracic aorta with a branched or fenestrated intraluminal device 
typically do not require a cardiac catheterization procedure, the 
requestor asserted that this claims analysis

[[Page 18043]]

demonstrates cases reporting endovascular restriction of the thoracic 
aorta with a branched or fenestrated intraluminal device require 
resources similar to cases in MS-DRG 216.
    As mentioned previously, the requestor stated we could also 
consider reassigning cases reporting procedure codes describing other 
complex aortic arch branch procedures to MS-DRG 216. The requestor 
stated to be considered a similar ``complex aortic arch procedure'' the 
case should report an ICD-10-PCS code describing the endovascular 
restriction of the thoracic aorta with a branched or fenestrated 
intraluminal device with an ICD-10-PCS code describing a Zone 0 or a 
Zone 1 Bypass procedure. Zone 0 is in the ascending aorta, proximal to 
the brachiocephalic artery and Zone 1 covers the portion of the aortic 
arch between the brachiocephalic artery and the left common carotid 
artery. The requestor identified cases reporting these ``other complex 
aortic arch procedures'' as cases reporting ICD-10-PCS codes as 
reflected in the following table.

------------------------------------------------------------------------
          ICD-10-PCS code                        Description
------------------------------------------------------------------------
02VX3EZ...........................  Restriction of thoracic aorta,
                                     ascending/arch with branched or
                                     fenestrated intraluminal device,
                                     one or two arteries, percutaneous
                                     approach.
 
with one of the following:
    031409J.......................  Bypass left subclavian artery to
                                     right extracranial artery with
                                     autologous venous tissue, open
                                     approach.
    031409K.......................  Bypass left subclavian artery to
                                     left extracranial artery with
                                     autologous venous tissue, open
                                     approach.
    03140AJ.......................  Bypass left subclavian artery to
                                     right extracranial artery with
                                     autologous arterial tissue, open
                                     approach.
    03140AK.......................  Bypass left subclavian artery to
                                     left extracranial artery with
                                     autologous arterial tissue, open
                                     approach.
    03140JJ.......................  Bypass left subclavian artery to
                                     right extracranial artery with
                                     synthetic substitute, open
                                     approach.
    03140JK.......................  Bypass left subclavian artery to
                                     left extracranial artery with
                                     synthetic substitute, open
                                     approach.
    03140KJ.......................  Bypass left subclavian artery to
                                     right extracranial artery with
                                     nonautologous tissue substitute,
                                     open approach.
    03140KK.......................  Bypass left subclavian artery to
                                     left extracranial artery with
                                     nonautologous tissue substitute,
                                     open approach.
    03140ZJ.......................  Bypass left subclavian artery to
                                     right extracranial artery, open
                                     approach.
    03140ZK.......................  Bypass left subclavian artery to
                                     left extracranial artery, open
                                     approach.
    03LJ0CZ.......................  Occlusion of left common carotid
                                     artery with extraluminal device,
                                     open approach.
    03LJ0ZZ.......................  Occlusion of left common carotid
                                     artery, open approach.
    03LJ3BZ.......................  Occlusion of left common carotid
                                     artery with bioactive intraluminal
                                     device, percutaneous approach.
    03LJ3DZ.......................  Occlusion of left common carotid
                                     artery with intraluminal device,
                                     percutaneous approach.
    03LJ4CZ.......................  Occlusion of left common carotid
                                     artery with extraluminal device,
                                     percutaneous endoscopic approach.
    03LJ4ZZ.......................  Occlusion of left common carotid
                                     artery, percutaneous endoscopic
                                     approach.
    031J09J.......................  Bypass left common carotid artery to
                                     right extracranial artery with
                                     autologous venous tissue, open
                                     approach.
    031J09K.......................  Bypass left common carotid artery to
                                     left extracranial artery with
                                     autologous venous tissue, open
                                     approach.
    031J09Y.......................  Bypass left common carotid artery to
                                     upper artery with autologous venous
                                     tissue, open approach.
    031J0AJ.......................  Bypass left common carotid artery to
                                     right extracranial artery with
                                     autologous arterial tissue, open
                                     approach.
    031J0AK.......................  Bypass left common carotid artery to
                                     left extracranial artery with
                                     autologous arterial tissue, open
                                     approach.
    031J0AY.......................  Bypass left common carotid artery to
                                     upper artery with autologous
                                     arterial tissue, open approach.
    031J0JJ.......................  Bypass left common carotid artery to
                                     right extracranial artery with
                                     synthetic substitute, open
                                     approach.
    031J0JK.......................  Bypass left common carotid artery to
                                     left extracranial artery with
                                     synthetic substitute, open
                                     approach.
    031J0JY.......................  Bypass left common carotid artery to
                                     upper artery with synthetic
                                     substitute, open approach.
    031J0KJ.......................  Bypass left common carotid artery to
                                     right extracranial artery with
                                     nonautologous tissue substitute,
                                     open approach.
    031J0KK.......................  Bypass left common carotid artery to
                                     left extracranial artery with
                                     nonautologous tissue substitute,
                                     open approach.
    031J0KY.......................  Bypass left common carotid artery to
                                     upper artery with nonautologous
                                     tissue substitute, open approach.
    031J0ZJ.......................  Bypass left common carotid artery to
                                     right extracranial artery, open
                                     approach.
    031J0ZK.......................  Bypass left common carotid artery to
                                     left extracranial artery, open
                                     approach.
    031J0ZY.......................  Bypass left common carotid artery to
                                     upper artery, open approach.
------------------------------------------------------------------------

    In analyzing this request, we note the requestor is correct that 
the following ICD-10-PCS codes specifically describe procedures 
involving the GORE[supreg] TAG[supreg] TBE: 02VX3EZ (Restriction of 
thoracic aorta, ascending/arch with branched or fenestrated 
intraluminal device, one or two arteries, percutaneous approach), in 
combination with 02VW3DZ (Restriction of thoracic aorta, descending 
with intraluminal device, percutaneous approach). The requestor is also 
correct that procedure codes 02VX3EZ and 02VW3DZ are assigned to MS-
DRGs 216, 217, 218, 219, 220, and 221. Additionally, we agree that the 
ICD-10-PCS codes as reflected in the previous table can describe other 
complex aortic arch procedures, and when reported MS-DRGs 216, 217, 
218, 219, 220, and 221 would be assigned. We refer the reader to the 
ICD-10 MS-DRG Definitions Manual Version 42.1, which is available on 
the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software, for complete documentation of the GROUPER logic for MS-DRGs 
216, 217, 218, 219, 220, and 221. We note that the GORE[supreg] 
TAG[supreg] TBE was approved for new technology add-on payments for FY 
2023 (87 FR 48966 through 48969) FY 2024 (88 FR 58800), and FY 2025 (89 
FR 69124). We refer readers to section II.E.5 of the preamble of this 
FY 2026 IPPS/LTCH PPS proposed rule for a discussion regarding the 
proposed FY 2026 status of technologies approved for FY 2025 new 
technology add-on payments, including the GORE[supreg] TAG[supreg] TBE.
    To explore mechanisms to address this request and to understand the 
resource use for the subset of cases reporting procedure codes 02VX3EZ 
and 02VW3DZ, and cases reporting

[[Page 18044]]

``other complex aortic arch procedures'', we began our analysis by 
examining claims data from the September 2024 update of the FY 2024 
MedPAR file for cases assigned to MS-DRGs 216, 217, 218, 219, 220, and 
221. Our findings are shown in the following table:

 MS-DRGs 216-221--Cases Reporting Endovascular Restriction of the Thoracic Aorta With a Branched or Fenestrated
                  Intraluminal Device and Cases Reporting Other Complex Aortic Arch Procedures
----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
             MS-DRG                                                    cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
216............................  All cases......................           5,137            13.6         $88,193
                                 Cases reporting 02VX3EZ and                   4            25.3         156,361
                                  02VW3DZ.
                                 Cases reporting other complex                 0               0               0
                                  aortic arch procedures.
217............................  All cases......................           1,571             6.8          59,943
                                 Cases with 02VX3EZ and 02VW3DZ.               1               2          46,235
                                 Cases reporting other complex                 0               0               0
                                  aortic arch procedures.
218............................  All cases......................             251             2.9          61,733
                                 Cases with 02VX3EZ and 02VW3DZ.               0               0               0
                                 Cases reporting other complex                 0               0               0
                                  aortic arch procedures.
219............................  All cases......................          13,222              10          69,728
                                 Cases with 02VX3EZ and 02VW3DZ.              81            11.4          97,336
                                 Cases reporting other complex                10            20.7         112,213
                                  aortic arch procedures.
220............................  All cases......................           9,636             6.2          49,514
                                 Cases with 02VX3EZ and 02VW3DZ.              64             5.2          76,700
                                 Cases reporting other complex                10             6.9          87,003
                                  aortic arch procedures.
221............................  All cases......................           1,146             3.6          46,900
                                 Cases with 02VX3EZ and 02VW3DZ.              32             1.9          56,765
                                 Cases reporting other complex                 0               0               0
                                  aortic arch procedures.
----------------------------------------------------------------------------------------------------------------

    As shown in the table, the data analysis performed indicates that 
the 4 cases in MS-DRG 216 reporting procedure codes 02VX3EZ and 02VW3DZ 
have an average length of stay that is longer than the average length 
of stay for all the cases in MS-DRG 216 (25.3 days versus 13.6 days) 
and higher average costs when compared to all the cases in MS-DRG 216 
($156,361 versus $88,193). The difference in average costs is $68,168 
($156,361-$88,193 = $68,168) for the cases reporting procedure codes 
02VX3EZ and 02VW3DZ in MS-DRG 216 when compared to all the cases in MS-
DRG 216. There were zero cases reporting other complex aortic arch 
procedures in MS-DRG 216. In MS-DRG 217, the one case reporting 
procedure codes 02VX3EZ and 02VW3DZ has a length of stay that is 
shorter than the average length of stay for all the cases in MS-DRG 217 
(2 days versus 6.8 days) and lower costs when compared to all the cases 
in MS-DRG 217 ($46,235 versus $59,943). The difference in average costs 
is $13,708 ($59,943-$46,235 = $13,708) for the cases reporting 
procedure codes 02VX3EZ and 02VW3DZ in MS-DRG 217 when compared to all 
the cases in MS-DRG 217. There were zero cases reporting other complex 
aortic arch procedures in MS-DRG 217. In MS-DRG 218, there were zero 
cases reporting procedure codes 02VX3EZ and 02VW3DZ or other complex 
aortic arch procedures.
    The 81 cases in MS-DRG 219 reporting procedure codes 02VX3EZ and 
02VW3DZ have an average length of stay that is longer than the average 
length of stay for all the cases in MS-DRG 219 (11.4 days versus 10 
days) and higher average costs when compared to all the cases in MS-DRG 
219 ($97,336 versus $69,728). The difference in average costs is 
$27,608 ($97,336-$69,728 = $27,608) for the cases reporting procedure 
codes 02VX3EZ and 02VW3DZ in MS-DRG 219 when compared to all the cases 
in MS-DRG 219. The 10 cases in MS-DRG 219 reporting procedure codes 
describing other complex arch procedures have an average length of stay 
that is longer than the average length of stay for all the cases in MS-
DRG 219 (20.7 days versus 10 days) and higher average costs when 
compared to all the cases in MS-DRG 219 ($112,213 versus $69,728). The 
difference in average costs is $42,485 ($112,213-$69,728 = $42,485) for 
the cases reporting procedure codes describing other complex arch 
procedures in MS-DRG 219 when compared to all the cases in MS-DRG 219.
    In MS-DRG 220, the 64 cases reporting procedure codes 02VX3EZ and 
02VW3DZ have an average length of stay that is shorter than the average 
length of stay for all the cases in MS-DRG 220 (5.2 days versus 6.2 
days) and higher average costs when compared to all the cases in MS-DRG 
220 ($76,700 versus $49,514). The difference in average costs is 
$27,186 ($76,700-$49,514 = $27,186) for the cases reporting procedure 
codes 02VX3EZ and 02VW3DZ in MS-DRG 220 when compared to all the cases 
in MS-DRG 220. The 10 cases reporting procedure codes describing other 
complex arch procedures have an average length of stay that is longer 
than the average length of stay for all the cases in MS-DRG 220 (6.9 
days versus 6.2 days) and higher average costs when compared to all the 
cases in MS-DRG 220 ($87,003 versus $49,514). The difference in average 
costs is $37,489 ($87,003-$49,514 = $37,489) for the cases reporting 
procedure codes describing other complex arch procedures in MS-DRG 220 
when compared to all the cases in MS-DRG 220.
    In MS-DRG 221, the 32 cases reporting procedure codes 02VX3EZ and 
02VW3DZ have an average length of stay that is shorter than the average 
length of stay for all the cases in MS-DRG 221 (1.9 days versus 3.6 
days) and higher average costs when compared to all the cases in MS-DRG 
221 ($56,765 versus $46,900). The difference in average costs is $9,865 
($56,765-$46,900 = $9,865) for the cases reporting procedure codes 
02VX3EZ and 02VW3DZ in MS-DRG 221 when compared to all the cases in MS-
DRG 221. There were zero cases reporting other complex aortic arch 
procedures in MS-DRG 221.

[[Page 18045]]

    Our analysis of the claims data for cases reporting procedure codes 
02VX3EZ and 02VW3DZ and cases reporting procedure codes describing 
other complex arch procedures demonstrated a relatively low volume of 
cases in comparison to all the cases in their respective MS-DRGs (that 
is, in 216, 217, 218, 219, 220, and 221). Analysis of the claims data 
also demonstrates that the cases had an average length of stay 
generally longer than all the cases in their respective MS-DRGs. The 
data analysis indicates that the average costs of the 182 cases 
reporting procedure codes 02VX3EZ and 02VW3DZ and the 20 cases 
reporting procedure codes describing other complex arch procedures are 
generally higher when compared to the average costs of all cases in MS-
DRGs 216, 217, 218, 219, 220, and 221. Specifically, most of these 
cases have average costs that are considerably higher than the average 
costs of all cases in MS-DRG 216. We reviewed these data and do not 
believe that proposing to reassign the cases reporting procedure codes 
02VX3EZ and 02VW3DZ and the cases reporting procedure codes describing 
other complex arch procedures to MS-DRG 216, even if there is no 
cardiac catheterization procedure reported and no secondary diagnosis 
designated as an MCC reported, would fully address the difference in 
resource utilization in these cases. Accordingly, we do not believe the 
data adequately support a potential reassignment of these cases to MS-
DRG 216. Therefore we decided to further explore alternative options to 
ensure clinical coherence between these cases and the other cases with 
which they may potentially be grouped in conjunction with the separate 
but related request we received to review and reconsider the MS-DRG 
assignments for another subset of codes describing aortic arch 
procedures, as discussed later in this section.
    The second request we received was to reassign cases reporting 
thoracic aortic arch replacement combined with restriction of the 
descending thoracic aorta from MS-DRGs 219, 220, and 221 (Cardiac Valve 
and Other Major Cardiothoracic Procedures without Cardiac 
Catheterization with MCC, with CC, and without CC/MCC, respectively) to 
MS-DRGs 216, 217, and 218 (Cardiac Valve and Other Major Cardiothoracic 
Procedures with Cardiac Catheterization with MCC, with CC, and without 
CC/MCC, respectively).
    The requestor, the manufacturer of the ThoraflexTM 
Hybrid device (also known as the Terumo Aortic Hybrid device), stated 
that hospital resource utilization for cases involving the 
ThoraflexTM Hybrid device is significantly higher compared 
to all cases in MS-DRGs 216, 217, 218, 219, 220, and 221, creating 
substantial financial loss for the hospitals that offer this 
technology. The ThoraflexTM Hybrid device is a dual-purpose 
medical device that replaces the ascending aorta and aortic arch while 
also stabilizing and repairing the descending thoracic aorta in a 
single procedure. It is indicated for the open surgical repair or 
replacement of damaged or diseased vessels of the aortic arch and 
descending aorta with or without involvement of the ascending aorta in 
cases of aneurysm and/or dissection. According to the requestor, when 
the ThoraflexTM Hybrid device is implanted within the aorta, 
it creates a channel for the blood to bypass the damaged or diseased 
part of the vessel and keep flowing as the graft and stented sections 
of the implant replace the parts of the aorta that are not working 
properly.
    The requestor stated that aortic pathologies such as aneurysms and 
dissections that involve the aortic arch and descending thoracic aorta 
continue to present surgical challenges and carry risks such as stroke, 
cerebral malperfusion, paralysis, and renal malperfusion. These risks 
must be mitigated by intense and patient specific goal-oriented care. 
According to the requestor, hospitals treating aortic arch pathologies 
must be able to deploy rapid neurology, neurosurgery, and nephrology 
all within hours to ensure a good patient outcome. According to the 
requestor, all these attributes attest to the difficulty and complexity 
of thoracic aortic arch replacement combined with restriction of the 
descending thoracic aorta and care of the patient.
    The requestor identified cases reporting thoracic aortic arch 
replacement combined with restriction of the descending thoracic aorta 
by the presence of ICD-10-PCS code X2RX0N7 (Replacement of thoracic 
aorta, arch using branched synthetic substitute with intraluminal 
device, open approach, new technology group 7) in combination with 
X2VW0N7 (Restriction of thoracic aorta, descending using branched 
synthetic substitute with intraluminal device, open approach, new 
technology group 7) on the same claim and performed its own analysis of 
the claims data. The requestor stated they found that while the volume 
of cases reporting thoracic aortic arch replacement combined with 
restriction of the descending thoracic aorta is <1% of total volume in 
MS-DRGs 216, 217, 218, 219, 220, and 221, the average costs and average 
lengths of stay of these cases are significantly greater than all other 
cases in MS-DRG 216.
    In analyzing this request, we note the requestor is correct that 
the following ICD-10-PCS codes specifically describe procedures 
involving the ThoraflexTM Hybrid device: X2RX0N7 
(Replacement of thoracic aorta arch with branched synthetic substitute 
with intraluminal device, new technology group 7) in combination with 
X2VW0N7 (Restriction of thoracic descending aorta with branched 
synthetic substitute with intraluminal device, new technology group 7). 
The requestor is also correct that procedure codes X2RX0N7 and X2VW0N7 
are assigned to MS-DRGs 216, 217, 218, 219, 220, and 221. We refer the 
reader to the ICD-10 MS-DRG Definitions Manual Version 42.1, which is 
available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software, for complete documentation of the GROUPER logic for MS-
DRGs 216, 217, 218, 219, 220, and 221. The ThoraflexTM 
Hybrid device was approved for new technology add-on payments for FY 
2023 (87 FR 48974 through 48976), FY 2024 (88 FR 58800), and FY 2025 
(89 FR 69124). We refer readers to section II.E.5 of the preamble of 
this FY 2026 IPPS/LTCH PPS proposed rule for a discussion regarding the 
proposed FY 2026 status of technologies approved for FY 2025 new 
technology add-on payments, including the ThoraflexTM Hybrid 
device.
    To explore mechanisms to address this request and to understand the 
resource use for the subset of cases reporting procedure codes X2RX0N7 
and X2VW0N7, we began our analysis by examining claims data from the 
September 2024 update of the FY 2024 MedPAR file for cases reporting 
the procedure code combination describing thoracic aortic arch 
replacement combined with restriction of the descending thoracic aorta 
assigned to MS-DRGs 216, 217, 218, 219, 220, and 221. Our findings are 
shown in the following table:

[[Page 18046]]



  MS-DRGs 216-221--Cases Reporting Thoracic Aortic Arch Replacement Combined With Restriction of the Descending
                                                 Thoracic Aorta
----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
             MS-DRG                                                    cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
216............................  All cases......................           5,137            13.6         $88,193
                                 Cases reporting X2RX0N7 and                  20              23         158,920
                                  X2VW0N7.
217............................  All cases......................           1,571             6.8          59,943
                                 Cases reporting X2RX0N7 and                   2            21.5         160,014
                                  X2VW0N7.
218............................  All cases......................             251             2.9          61,733
                                 Cases reporting X2RX0N7 and                   0               0               0
                                  X2VW0N7.
219............................  All cases......................          13,222              10          69,728
                                 Cases reporting X2RX0N7 and                  61            16.9         154,134
                                  X2VW0N7.
220............................  All cases......................           9,636             6.2          49,514
                                 Cases reporting X2RX0N7 and                  14             8.9          84,004
                                  X2VW0N7.
221............................  All cases......................           1,146             3.6          46,900
                                 Cases reporting X2RX0N7 and                   1               3          97,825
                                  X2VW0N7.
----------------------------------------------------------------------------------------------------------------

    As shown in the table, the data analysis performed indicates that 
the 20 cases in MS-DRG 216 reporting procedure codes X2RX0N7 and 
X2VW0N7 have an average length of stay that is longer than the average 
length of stay for all the cases in MS-DRG 216 (23 days versus 13.6 
days) and higher average costs when compared to all the cases in MS-DRG 
216 ($158,920 versus $88,193). The difference in average costs is 
$70,727 ($158,920-$88,193 = $70,727) for the cases reporting procedure 
codes X2RX0N7 and X2VW0N7 in MS-DRG 216 when compared to all the cases 
in MS-DRG 216. In MS-DRG 217, the 2 cases reporting procedure codes 
X2RX0N7 and X2VW0N7 have an average length of stay that is longer than 
the average length of stay for all the cases in MS-DRG 217 (21.5 days 
versus 6.8 days) and higher average costs when compared to all the 
cases in MS-DRG 217 ($160,014 versus $59,943). The difference in 
average costs is $100,071 ($160,014-$59,943 = $100,071) for the cases 
reporting procedure codes X2RX0N7 and X2VW0N7 in MS-DRG 217 when 
compared to all the cases in MS-DRG 217. In MS-DRG 218, there were zero 
cases reporting procedure codes X2RX0N7 and X2VW0N7.
    The 61 cases in MS-DRG 219 reporting procedure codes X2RX0N7 and 
X2VW0N7 have an average length of stay that is longer than the average 
length of stay for all the cases in MS-DRG 219 (16.9 days versus 10 
days) and higher average costs when compared to all the cases in MS-DRG 
219 ($154,134 versus $69,728). The difference in average costs is 
$84,406 ($154,134-$69,728 = $84,406) for the cases reporting procedure 
codes X2RX0N7 and X2VW0N7 in MS-DRG 219 when compared to all the cases 
in MS-DRG 219. In MS-DRG 220, the 14 cases reporting procedure codes 
X2RX0N7 and X2VW0N7 have an average length of stay that is longer than 
the average length of stay for all the cases in MS-DRG 220 (8.9 days 
versus 6.2 days) and higher average costs when compared to all the 
cases in MS-DRG 220 ($84,004 versus $49,514). The difference in average 
costs is $34,490 ($84,004-$49,514 = $34,490) for the cases reporting 
procedure codes X2RX0N7 and X2VW0N7 in MS-DRG 220 when compared to all 
the cases in MS-DRG 220. In MS-DRG 221, the one case reporting 
procedure codes X2RX0N7 and X2VW0N7 has a length of stay that is 
shorter than the average length of stay for all the cases in MS-DRG 221 
(3 days versus 3.6 days) and higher average costs when compared to all 
the cases in MS-DRG 221 ($97,825 versus $46,900). The difference in 
average costs is $50,925 ($97,825-$46,900 = $50,925) for the cases 
reporting procedure codes X2RX0N7 and X2VW0N7 in MS-DRG 221 when 
compared to all the cases in MS-DRG 221.
    We reviewed these data and note the average costs of the 98 cases 
reporting the procedure code combination describing thoracic aortic 
arch replacement combined with restriction of the descending thoracic 
aorta are higher when compared to the average costs of all cases in MS-
DRGs 216, 217, 218, 219, 220, and 221. The difference in average costs 
of the 98 cases reporting the procedure code combination describing 
thoracic aortic arch replacement combined with restriction of the 
descending thoracic aorta is $56,445 ($144,638-$88,193 = $56,445) for 
the cases reporting procedure codes X2RX0N7 and X2VW0N7 when compared 
to all the cases in MS-DRG 216, which is the highest severity level 
``with MCC'' MS-DRG. We reviewed these data and do not believe that 
proposing to reassign all cases reporting the procedure code 
combination describing thoracic aortic arch replacement combined with 
restriction of the descending thoracic aorta to MS-DRGs 216, 217, and 
218, even if there is no cardiac catheterization procedure reported and 
no secondary diagnosis designated as an MCC reported, would fully 
address the difference in resource utilization in these cases as the 
average costs of the cases reporting procedure codes X2RX0N7 and 
X2VW0N7 are much higher when compared to all the cases in MS-DRG 216. 
Accordingly, we do not believe the data adequately support a potential 
reassignment of these cases to MS-DRGs 216, 217, and 218, respectively.
    We also do not believe that the small subset cases that report the 
procedure code combination describing thoracic aortic arch replacement 
combined with restriction of the descending thoracic aorta warrants the 
creation of a new MS-DRG at this time. As stated in prior rulemaking, 
the MS-DRGs are a classification system intended to group together 
diagnoses and procedures with similar clinical characteristics and 
utilization of resources. We generally seek to identify sufficiently 
large sets of claims data with a resource/cost similarity and clinical 
similarity in developing diagnosis related groups rather than smaller 
subsets. Moreover, as stated in prior rulemaking (85 FR 58472), we have 
concerns regarding making proposed MS-DRG changes based on a specific, 
single technology (the ThoraflexTM Hybrid device) identified 
by only one unique procedure code combination versus considering 
proposed changes based on a group of related procedure codes that can 
be reported to describe the same type or class of technology, which is 
more consistent with the intent of the MS-DRGs.

[[Page 18047]]

    To explore other mechanisms to address this request, we then 
reexamined the separate but related request discussed previously to 
reassign cases reporting procedure codes describing endovascular 
restriction of the thoracic aorta with a branched or fenestrated 
intraluminal device and cases reporting other complex aortic arch 
procedures. In examining these requests, we note that the first 
requestor suggested that CMS reassign cases reporting procedure codes 
describing endovascular restriction of the thoracic aorta with a 
branched or fenestrated intraluminal device from MS-DRGs 219, 220, and 
221 to MS-DRG 216 and the second requestor suggested that CMS reassign 
cases reporting the procedure code combination describing thoracic 
aortic arch replacement combined with restriction of the descending 
thoracic aorta without a procedure code describing the performance of a 
cardiac catheterization from MS-DRGs 219, 220, and 221 to MS-DRGs 216, 
217, and 218 for FY 2026. As discussed in prior rulemaking (86 FR 
44830, 87 FR 48847, and 88 FR 58683), MS-DRGs 216, 217, and 218 are 
defined by the performance of cardiac catheterization. We are concerned 
about the effect on clinical coherence of assigning cases that do not 
also have a cardiac catheterization procedure reported to MS-DRGs that 
are defined by the performance of that procedure.
    However, we do note that in our examination of both requests, the 
data analysis indicates that the average costs of these complex aortic 
arch procedures, such as the cases reporting procedure codes describing 
endovascular restriction of the thoracic aorta with a branched or 
fenestrated intraluminal device, the cases reporting the procedure code 
combination describing thoracic aortic arch replacement combined with 
restriction of the descending thoracic aorta, and the cases reporting 
other complex aortic arch procedures, are higher when compared to the 
average costs of all cases in MS-DRGs 216, 217, 218, 219, 220, and 221. 
Analysis of the claims data also suggests that these cases reporting 
complex aortic arch procedures are associated with increased hospital 
resource utilization.
    We reviewed these data and note, clinically, aortic arch 
pathologies are serious clinical conditions associated with an 
increased likelihood of death but also the potential for significant 
functional limitations. The aortic arch is the segment of the aorta 
that helps distribute blood to the head and upper extremities via the 
brachiocephalic trunk, the left common carotid, and the left subclavian 
artery. The aortic arch also plays a role in blood pressure homeostasis 
via baroreceptors found within the walls of the aortic arch that help 
prevent quick, drastic changes in blood pressure. Aortic aneurysms and 
aortic dissection that involve the aortic arch are associated with 
extremely high mortality and morbidity and the data analysis clearly 
shows that cases reporting complex aortic arch procedures have higher 
average costs and generally longer lengths of stay compared to all the 
cases in their assigned MS-DRG.
    Therefore, based on our review of the clinical issues and the 
claims data, we are proposing to create a new MS-DRG to better 
differentiate these complex aortic arch procedures from other cases in 
their respective MS-DRGs, based on treatment difficulty, clinical 
similarity, and resource use. To compare and analyze the impact of our 
suggested modifications, we ran a simulation using the claims data from 
the September 2024 update of the FY 2024 MedPAR file.

----------------------------------------------------------------------------------------------------------------
                                                                                 Average length
                     Proposed new MS-DRG                       Number of cases      of stay       Average costs
----------------------------------------------------------------------------------------------------------------
Proposed new MS-DRG XXX Complex Aortic Arch Procedures.......             300             11.2         $104,826
----------------------------------------------------------------------------------------------------------------

    For the cases reporting complex aortic arch procedures, we 
identified a total of 300 cases using the claims data from the 
September 2024 update of the FY 2024 MedPAR file, so the criterion that 
there are at least 500 or more cases in each subgroup could not be met. 
Therefore, we are not proposing to subdivide the proposed new MS-DRG 
for complex aortic arch procedures into severity levels.
    In summary, for FY 2026, taking into consideration that it 
clinically requires greater resources to perform complex aortic arch 
procedures, we are proposing to create a new base MS-DRG for cases 
reporting complex aortic arch procedures in MDC 05. The proposed new 
MS-DRG is proposed new MS-DRG 209 (Complex Aortic Arch Procedures). We 
refer the reader to Table 6P.5a associated with this FY 2026 IPPS/LTCH 
PPS proposed rule (which is available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software) for the list of 
procedure codes we are proposing to define in the logic for the 
proposed new MS-DRG. We note that discussion of the surgical hierarchy 
for the proposed modification is discussed in section II.C.10. of the 
preamble of this FY 2026 IPPS/LTCH PPS proposed rule.
f. Deep Vein Thrombophlebitis
    Consistent with our annual review of the MS-DRGs, we consider 
changes in resource consumption, treatment patterns, technology, and 
any other factors that may change the relative use of hospital 
resources. In our review of the claims data from the September 2024 
update of the FY 2024 MedPAR file, we identified a low volume of cases 
for MS-DRGs 294 and 295 (Deep Vein Thrombophlebitis with CC/MCC and 
without CC/MCC, respectively). Our findings are shown in the following 
table.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                             MS-DRG                                    cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
294.............................................................             146             4.1         $10,808
295.............................................................               0               0               0
----------------------------------------------------------------------------------------------------------------


[[Page 18048]]

    A deep vein thrombophlebitis (DVT) is a blood clot that forms in 
one of the deep veins of the body, most commonly occurring in the veins 
of the pelvis, calf, or thigh. The 35 ICD-10-CM diagnosis codes 
describing deep vein thrombophlebitis currently assigned to MS-DRGs 294 
and 295 are shown in the following table.

Diagnosis Codes Describing Deep Venous Thrombophlebitis (DVT) in MS-DRGS
                                 294-295
------------------------------------------------------------------------
          ICD-10-CM code                         Description
------------------------------------------------------------------------
I80.10............................  Phlebitis and thrombophlebitis of
                                     unspecified femoral vein.
I80.11............................  Phlebitis and thrombophlebitis of
                                     right femoral vein.
I80.12............................  Phlebitis and thrombophlebitis of
                                     left femoral vein.
I80.13............................  Phlebitis and thrombophlebitis of
                                     femoral vein, bilateral.
I80.201...........................  Phlebitis and thrombophlebitis of
                                     unspecified deep vessels of right
                                     lower extremity.
I80.202...........................  Phlebitis and thrombophlebitis of
                                     unspecified deep vessels of left
                                     lower extremity.
I80.203...........................  Phlebitis and thrombophlebitis of
                                     unspecified deep vessels of lower
                                     extremities, bilateral.
I80.209...........................  Phlebitis and thrombophlebitis of
                                     unspecified deep vessels of
                                     unspecified lower extremity.
I80.211...........................  Phlebitis and thrombophlebitis of
                                     right iliac vein.
I80.212...........................  Phlebitis and thrombophlebitis of
                                     left iliac vein.
I80.213...........................  Phlebitis and thrombophlebitis of
                                     iliac vein, bilateral.
I80.219...........................  Phlebitis and thrombophlebitis of
                                     unspecified iliac vein.
I80.221...........................  Phlebitis and thrombophlebitis of
                                     right popliteal vein.
I80.222...........................  Phlebitis and thrombophlebitis of
                                     left popliteal vein.
I80.223...........................  Phlebitis and thrombophlebitis of
                                     popliteal vein, bilateral.
I80.229...........................  Phlebitis and thrombophlebitis of
                                     unspecified popliteal vein.
I80.231...........................  Phlebitis and thrombophlebitis of
                                     right tibial vein.
I80.232...........................  Phlebitis and thrombophlebitis of
                                     left tibial vein.
I80.233...........................  Phlebitis and thrombophlebitis of
                                     tibial vein, bilateral.
I80.239...........................  Phlebitis and thrombophlebitis of
                                     unspecified tibial vein.
I80.241...........................  Phlebitis and thrombophlebitis of
                                     right peroneal vein.
I80.242...........................  Phlebitis and thrombophlebitis of
                                     left peroneal vein.
I80.243...........................  Phlebitis and thrombophlebitis of
                                     peroneal vein, bilateral.
I80.249...........................  Phlebitis and thrombophlebitis of
                                     unspecified peroneal vein.
I80.251...........................  Phlebitis and thrombophlebitis of
                                     right calf muscular vein.
I80.252...........................  Phlebitis and thrombophlebitis of
                                     left calf muscular vein.
I80.253...........................  Phlebitis and thrombophlebitis of
                                     calf muscular vein, bilateral.
I80.259...........................  Phlebitis and thrombophlebitis of
                                     unspecified calf muscular vein.
I80.291...........................  Phlebitis and thrombophlebitis of
                                     other deep vessels of right lower
                                     extremity.
I80.292...........................  Phlebitis and thrombophlebitis of
                                     other deep vessels of left lower
                                     extremity.
I80.293...........................  Phlebitis and thrombophlebitis of
                                     other deep vessels of lower
                                     extremity, bilateral.
I80.299...........................  Phlebitis and thrombophlebitis of
                                     other deep vessels of unspecified
                                     lower extremity.
I80.3.............................  Phlebitis and thrombophlebitis of
                                     lower extremities, unspecified.
I82.220...........................  Acute embolism and thrombosis of
                                     inferior vena cava.
I82.221...........................  Chronic embolism and thrombosis of
                                     inferior vena cava.
------------------------------------------------------------------------

    In light of the initial findings of only 146 cases for MS-DRG 294 
and zero cases in MS-DRG 295, we further reviewed the MedPAR claims 
data for cases assigned to MS-DRGs 294 and 295 for the past 5 fiscal 
years. As reflected in the following tables, the data indicate that the 
number of cases grouping to MS-DRGs 294 and 295 has declined.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
           FY and MedPAR data reviewed for MS-DRG 294                  cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
FY 2022 (FY 2020 MedPAR)........................................             222             4.3          $8,962
FY 2023 (FY 2021 MedPAR)........................................             227             4.2           9,325
FY 2024 (FY 2022 MedPAR)........................................             177             4.8           9,665
FY 2025 (FY 2023 MedPAR)........................................             178             4.6          10,404
FY 2026 (FY 2024 MedPAR)........................................             146             4.1          10,808
----------------------------------------------------------------------------------------------------------------


----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
           FY and MedPAR data reviewed for MS-DRG 295                  cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
FY 2022 (FY 2020 MedPAR)........................................              20             3.4          $7,323
FY 2023 (FY 2021 MedPAR)........................................              11             2.5           4,988
FY 2024 (FY 2022 MedPAR)........................................               0               0               0
FY 2025 (FY 2023 MedPAR)........................................               0               0               0
FY 2026 (FY 2024 MedPAR)........................................               0               0               0
----------------------------------------------------------------------------------------------------------------


[[Page 18049]]

    We note that, if, during our annual MS-DRG analysis we identify 
that there are only a few patients in a respective MS-DRG, consistent 
with our established process in deciding whether to propose to make 
further modifications, we consider if there have been potential changes 
in the clinical characteristics of the patients, treatment patterns, or 
resource utilization. A principle of the MS-DRGs and the 
characteristics of a meaningful DRG classification scheme is the 
ability to detect such changes and accordingly, propose clinically 
appropriate modifications that are also consistent with resource 
utilization. We have noted in prior rulemaking that we prefer to have a 
substantial number of cases in an MS-DRG because having larger clinical 
cohesive groups within an MS-DRG provides greater stability for annual 
updates to the relative payment weights. In light of these 
considerations, and the low volume of cases in MS-DRGs 294 and 295, we 
believed it was appropriate to further analyze how to potentially 
reclassify these cases.
    Accordingly, using the September 2024 update of the FY 2024 MedPAR 
file, we examined whether there were other MS-DRGs to which these cases 
could appropriately be reassigned. As part of this analysis, we also 
reviewed the base DRG by severity claims data for MS-DRG 294 because 
the MS-DRG includes cases reporting an MCC as well as cases reporting a 
CC. As previously noted, there were zero cases identified in MS-DRG 
295, which would only consist of NonCC cases. Therefore, we analyzed 
the claims data to determine the number of cases, the average length of 
stay, and average costs for the 146 cases in MS-DRG 294 by severity 
level (1=MCC and 2=CC). Our findings are shown in the following table.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                             MS-DRG                                    cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
294-1...........................................................              45             5.4         $14,085
294-2...........................................................             101             3.5           9,348
                                                                 -----------------------------------------------
294 base DRG total..............................................             146             4.1          10,808
----------------------------------------------------------------------------------------------------------------

    We note that medical MS-DRGs 299, 300, and 301 (Peripheral Vascular 
Disorders with MCC, with CC, and without CC/MCC, respectively) also 
include diagnoses describing other types of phlebitis and 
thrombophlebitis in the logic for case assignment, consistent with the 
diagnosis codes in the logic for case assignment to MS-DRGs 294 and 
295. As such, we reviewed the claims data from the September 2024 
update of the FY 2024 MedPAR file for MS-DRGs 299, 300, and 301 to 
examine the resource utilization associated with cases assigned to 
these MS-DRGs. Our findings are shown in the following table.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                             MS-DRG                                    cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
299.............................................................          14,129             5.5         $14,742
300.............................................................          18,038             3.9           9,757
301.............................................................           3,807             2.5           6,723
----------------------------------------------------------------------------------------------------------------

    As shown in the data, the 45 cases reporting an MCC in MS-DRG 294 
have an average length of stay of 5.4 days with average costs of 
$14,085, which is comparable to the cases in MS-DRG 299 reporting an 
MCC that have an average length of stay of 5.5 days with average costs 
of $14,742. The 101 cases reporting a CC in MS-DRG 294 have an average 
length of stay of 3.5 days with average costs of $9,348, which is 
comparable to the cases in MS-DRG 300 reporting an CC that have an 
average length of stay of 3.9 days with average costs of $9,757.
    Based on our analysis and review of the cases grouping to MS-DRGs 
294 and 295, we believe it is appropriate to delete these MS-DRGs and 
reassign the cases currently assigned to MS-DRGs 294 and 295 to MS-DRGs 
299, 300, and 301, which are clinically consistent and also align with 
the resource utilization for these cases. Accordingly, for FY 2026, we 
are proposing to delete MS-DRGs 294 and 295 and reassign the previously 
listed 35 diagnosis codes describing deep vein thrombophlebitis to MS-
DRGs 299, 300, and 301. We refer the reader to the ICD-10 MS-DRG 
Version 42.1 Definitions Manual (which is available via the internet on 
the CMS website at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/MS-DRG-Classifications-and-Software) 
for complete documentation of the GROUPER logic for MS-DRGs 299, 300, 
and 301.
5. MDC 08 (Diseases and Disorders of the Musculoskeletal System and 
Connective Tissue)
a. Hip or Knee Procedures With Periprosthetic Joint Infection
    We received a request to reassign cases reporting a hip or knee 
procedure with a principal diagnosis of periprosthetic joint infection 
(PJI) from the lower severity level ``without CC/MCC'' MS-DRG to the 
higher severity level ``with CC'' MS-DRG when there is no major 
complication or comorbidity (MCC) or complication or comorbidity (CC) 
reported. According to the requestor, PJI is a devastating healthcare 
condition that occurs in one percent to two percent (1% to 2%) of 
primary joint replacements.\8\ PJI is also the primary cause for 
revision arthroplasty in most developed markets. The requestor stated 
that patients undergoing revision for PJI experience higher mortality 
rates ranging from 0.8 to 4 percent at 1 year and 12.9 to 25.9 percent 
at 5 years following revision surgery.
---------------------------------------------------------------------------

    \8\ Corvec S, Portillo ME, Pasticci BM, Borens O, Trampuz A. 
Epidemiology and new developments in the diagnosis of prosthetic 
joint infection. Int J Artif Organs 2012;35:923-934.
---------------------------------------------------------------------------

    According to the requestor, management of PJI requires complex 
treatment strategies including multiple surgical revisions and long-
term antimicrobial treatment, leading to substantially higher costs 
versus aseptic revision arthroplasty. The requestor asserted that when 
missed or undertreated, PJI leads to persistence of

[[Page 18050]]

infection and multiple surgical revisions causing poor function or 
disability, considerably impairing quality of life.
    The requestor stated that current treatment options for PJI include 
chronic suppressive antibiotics; debridement, antibiotics, and implant 
retention (DAIR); one-stage revision; two-stage revision; and 
amputation. According to the requestor, regardless of the treatment 
option selected for the knee or hip, the presence of PJI as the 
principal diagnosis appears to significantly increase the length of 
stay and the resource utilization of these cases in comparison to all 
other cases assigned to the respective MS-DRGs.
    Using the FY 2023 MedPAR file that informed FY 2025 rulemaking, the 
requestor stated it performed its own analysis of cases reporting PJI 
as the principal diagnosis. The requestor provided the following list 
of ICD-10-CM diagnosis codes it used to identify the presence of a PJI 
in the hip or knee joint.

------------------------------------------------------------------------
          ICD-10-CM code                         Description
------------------------------------------------------------------------
T84.51XA..........................  Infection and inflammatory reaction
                                     due to internal right hip
                                     prosthesis, initial encounter.
T84.51XD..........................  Infection and inflammatory reaction
                                     due to internal right hip
                                     prosthesis, subsequent encounter.
T84.51XS..........................  Infection and inflammatory reaction
                                     due to internal right hip
                                     prosthesis, sequela.
T84.52XA..........................  Infection and inflammatory reaction
                                     due to internal left hip
                                     prosthesis, initial encounter.
T84.52XD..........................  Infection and inflammatory reaction
                                     due to internal left hip
                                     prosthesis, subsequent encounter.
T84.52XS..........................  Infection and inflammatory reaction
                                     due to internal left hip
                                     prosthesis, sequela.
T84.53XA..........................  Infection and inflammatory reaction
                                     due to internal right knee
                                     prosthesis, initial encounter.
T84.53XD..........................  Infection and inflammatory reaction
                                     due to internal right knee
                                     prosthesis, subsequent encounter.
T84.53XS..........................  Infection and inflammatory reaction
                                     due to internal right knee
                                     prosthesis, sequela.
T84.54XA..........................  Infection and inflammatory reaction
                                     due to internal left knee
                                     prosthesis, initial encounter.
T84.54XD..........................  Infection and inflammatory reaction
                                     due to internal left knee
                                     prosthesis, subsequent encounter.
T84.54XS..........................  Infection and inflammatory reaction
                                     due to internal left knee
                                     prosthesis, sequela.
------------------------------------------------------------------------

    The requestor stated that cases involving the DAIR procedure are 
commonly assigned to MS-DRGs 463, 464, and 465 (Wound Debridement and 
Skin Graft Except Hand for Musculoskeletal and Connective Tissue 
Disorders with MCC, with CC, and without CC/MCC, respectively), MS-DRGs 
480, 481, and 482 (Hip and Femur Procedures Except Major Joint with 
MCC, with CC, and without CC/MCC, respectively) or MS-DRG 485, 486, and 
487 (Knee Procedures with Principal Diagnosis of Infection with MCC, 
with CC, and without CC/MCC, respectively). According to the requestor, 
in each of the scenarios reviewed, the average cost and average length 
of stay for cases with a principal diagnosis of PJI that grouped to the 
``with CC'' or ``without CC/MCC'' MS-DRG are similar or higher and 
longer than the other cases assigned to the same MS-DRGs.
    The requestor also stated that one-stage hip or knee revision 
procedures are typically assigned to MS-DRGs 466, 467, and 468 and the 
findings from their analysis showed the presence of a PJI as the 
principal diagnosis with a hip or knee revision procedure show a longer 
length of stay and a similar or higher average cost than for the other 
aseptic revision arthroplasties.
    In addition, the requestor stated that its analysis of cases 
reporting PJI with the last treatment option, amputation, assigned to 
MS-DRGs 474, 475, and 476 (Amputation for Musculoskeletal System and 
Connective Tissue Disorders with MCC, with CC, and without CC/MCC, 
respectively) also showed a longer average length of stay and higher 
average costs compared to all other non-PJI cases in MS-DRGs 474, 475, 
and 476, further supporting the request to reassign cases to the ``with 
CC'' severity level MS-DRG.
    In summary, the requestor specifically recommended the following 
modifications to the listed MS-DRGs for cases reporting a hip or knee 
procedure with a principal diagnosis of PJI:

------------------------------------------------------------------------
       Current MS-DRG assignment           Requested MS-DRG assignment
------------------------------------------------------------------------
465 (Wound Debridement and Skin Graft    MS-DRG 464 (Wound Debridement
 Except Hand for Musculoskeletal and      and Skin Graft Except Hand for
 Connective Tissue Disorders without CC/  Musculoskeletal and Connective
 MCC).                                    Tissue Disorders with CC).
MS-DRG 468 (Revision of Hip or Knee      MS-DRG 467 (Revision of Hip or
 Replacement without CC/MCC).             Knee Replacement with CC).
MS-DRG 476 (Amputation for               MS-DRG 475 (Amputation for
 Musculoskeletal System and Connective    Musculoskeletal System and
 Tissue Disorders without CC/MCC).        Connective Tissue Disorders
                                          with CC).
MS-DRG 482 (Hip and Femur Procedures     MS-DRG 481 (Hip and Femur
 Except Major Joint without CC/MCC).      Procedures Except Major Joint
                                          with CC).
MS-DRG 487 (Knee Procedures with         MS-DRG 486 (Knee Procedures
 Principal Diagnosis of Infection         with Principal Diagnosis of
 without CC/MCC).                         Infection with CC).
------------------------------------------------------------------------

    We reviewed claims data from the September 2024 update of the FY 
2024 MedPAR file for MS-DRGs 463, 464, 465, 466, 467, 468, 474, 475, 
476, 480, 481, 482, 485, 486, and 487 and for cases reporting a 
principal diagnosis of PJI with a hip or knee procedure. We refer the 
reader to Table 6P. 6a for the list of diagnosis codes we analyzed to 
identify a PJI and for the list of procedure codes we analyzed from the 
previously listed MS-DRGs to identify a hip or knee procedure. Findings 
from our analysis are shown in the following table.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
             MS-DRG                        Description                 cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
463............................  All cases......................           3,909            14.2         $45,233
                                 Cases with principal diagnosis              804            13.9          50,127
                                  of PJI with hip or knee
                                  procedure.
464............................  All cases......................           5,775             7.3          26,757

[[Page 18051]]

 
                                 Cases with principal diagnosis            1,358             7.7          32,474
                                  of PJI with hip or knee
                                  procedure.
465............................  All cases......................           1,496             3.0          16,794
                                 Cases with principal diagnosis              237             4.3          22,689
                                  of PJI with hip or knee
                                  procedure.
466............................  All cases......................           4,282             9.0          43,314
                                 Cases with principal diagnosis              460            11.2          40,433
                                  of PJI with hip or knee
                                  procedure.
467............................  All cases......................          17,682             4.1          30,612
                                 Cases with principal diagnosis              947             6.5          28,505
                                  of PJI with hip or knee
                                  procedure.
468............................  All cases......................          12,986             1.8          24,921
                                 Cases with principal diagnosis              160               4          23,978
                                  of PJI with hip or knee
                                  procedure.
474............................  All cases......................           2,417            12.2          35,707
                                 Cases with principal diagnosis              112            13.6          47,240
                                  of PJI with hip or knee
                                  procedure.
475............................  All cases......................           2,634             7.3          19,577
                                 Cases with principal diagnosis              166               7          20,739
                                  of PJI with hip or knee
                                  procedure.
476............................  All cases......................             322             3.5          10,454
                                 Cases with principal diagnosis               27             4.1          14,101
                                  of PJI with hip or knee
                                  procedure.
480............................  All cases......................          26,238             7.3          26,430
                                 Cases with principal diagnosis              136            11.7          38,407
                                  of PJI with hip or knee
                                  procedure.
481............................  All cases......................          62,141             4.9          19,153
                                 Cases with principal diagnosis              234             7.4          24,138
                                  of PJI with hip or knee
                                  procedure.
482............................  All cases......................          13,842             3.5          14,886
                                 Cases with principal diagnosis               30             4.6          19,122
                                  of PJI with hip or knee
                                  procedure.
485............................  All cases......................           1,297             9.5          29,761
                                 Cases with principal diagnosis              521             9.6          31,779
                                  of PJI with hip or knee
                                  procedure.
486............................  All cases......................           2,574             6.0          19,679
                                 Cases with principal diagnosis              985             5.8          21,376
                                  of PJI with hip or knee
                                  procedure.
487............................  All cases......................             632             4.1          14,615
                                 Cases with principal diagnosis              194               4          16,616
                                  of PJI with hip or knee
                                  procedure.
----------------------------------------------------------------------------------------------------------------

    The findings show that the cases reporting a PJI with a hip or knee 
procedure in MS-DRGs 466, 467, and 468 have a slightly longer average 
length of stay and lower average costs compared to the average length 
of stay and average costs of all the cases in their respective MS-DRGs. 
Therefore, because the resource utilization of these cases is generally 
comparable to all the cases in their respective MS-DRGs, we believe the 
cases reporting a PJI in MS-DRGs 466, 467, and 468 appear to be 
grouping appropriately in their current MS-DRG assignment.
    The findings show that for the cases reporting a PJI with a hip or 
knee procedure in MS-DRGs 463, 464, 465, 474, 475, 476, 485, 486, and 
487, the average length of stay is comparable to the average length of 
stay of all the cases in their respective MS-DRGs, however, the average 
length of stay for the cases reporting a PJI with a hip or knee 
procedure in MS-DRGs 480, 481, and 482 are notably longer compared to 
the average length of stay of all the cases in their respective MS-
DRGs. Findings from our analysis also show that the average costs of 
the cases reporting a PJI with a hip or knee procedure in MS-DRGs 463, 
464, 465, 474, 475, 476, 480, 481, and 482 are higher compared to the 
average costs of all the cases in their respective MS-DRGs with a 
difference in average costs of approximately $5,459 for cases reporting 
a PJI with a hip or knee procedure across MS-DRGs 463, 464, and 465, a 
difference in average costs of approximately $5,190 for cases reporting 
a PJI with a hip or knee procedure across MS-DRGs 474, 475, and 476, 
and a difference in average costs of approximately $7,306 for cases 
reporting a PJI with a hip or knee procedure across MS-DRGs 480, 481 
and 482. However, because MS-DRGs 485, 486, and 487 currently include a 
principal diagnosis of infection in the logic for case assignment to 
these MS-DRGs, the difference in average costs for the cases reporting 
a PJI with a hip or knee procedure compared to the average costs of all 
the cases in their respective MS-DRG is minimal ($2,018, $1,697, and 
$2,001, respectively).
    Based on our review and analysis of the data, we disagree with the 
request to reassign PJI cases from the lower severity ``without CC/
MCC'' level MS-DRG to the higher severity ``with CC'' level MS-DRG 
suggested by the requestor as the average costs of the PJI cases in the 
``without CC/MCC'' level are not comparable and do not align with the 
average costs of all the cases at the ``with CC'' level. In addition, 
our findings show that other than for MS-DRGs 466, 467, and 468, the 
cases reporting a PJI with a hip or knee procedure at the higher ``with 
CC'' level and the highest ``with MCC'' level have higher average costs 
compared to all the cases in their respective MS-DRG. For example, as 
reflected in the findings of our analysis for MS-DRGs 463, 464, and 
465, if we were to reassign the 237 cases reporting a PJI with a hip or 
knee procedure with an average length of stay of 4.3 days and average 
costs of $22,689 from MS-DRG 465 to MS-DRG 464 where we found a total 
of 5,775 cases with an average length of stay of 7.3 days and average 
costs of $26,757, the 1,358 cases reporting a PJI with a hip or knee 
procedure with an average length of stay of 7.7 days and average costs 
of $32,474 in MS-DRG 464 and the 804 cases reporting a PJI with a hip 
or knee procedure with an average length of stay of 13.9 days and 
average costs of $50,127 in MS-DRG 463 would continue to not be 
comparable from a resource perspective as compared to all the cases in 
their assigned MS-DRGs. We believe the data support proposing a new 
base MS-DRG for the cases reporting a PJI with a hip or knee procedure 
in MS-DRGs 463, 464, 465, 474, 475, 476, 480, 481, and 482 to better 
reflect the complexity of services, resource utilization, and severity 
of illness of these patients.
    Consistent with our established process as discussed in section 
II.C.1.b. of the preamble of this FY 2026 IPPS/LTCH PPS proposed rule, 
once the decision has been made to propose to make further 
modifications to the MS-DRGs, such as creating a new base MS-DRG, all 
five criteria to create subgroups must be met for the base MS-DRG to be 
split (or subdivided) by a CC subgroup. Therefore, we applied the 
criteria to

[[Page 18052]]

create subgroups in a base MS-DRG. We note that, as shown in the table 
that follows, a three-way split of this proposed new base MS-DRG failed 
to meet the criterion that at least 500 or more cases are in the 
without CC/MCC subgroup. The following table illustrates our findings.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                      Proposed new MS-DRGs                             cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
With MCC........................................................           1,052            13.6         $48,305
With CC.........................................................           1,758             7.6          30,256
Without CC/MCC..................................................             293             4.3          21,505
----------------------------------------------------------------------------------------------------------------

    As discussed in section II.C.1.b. of the preamble of this FY 2026 
IPPS/LTCH PPS proposed rule, if the criteria for a three-way split 
fail, the next step is to determine if the criteria are satisfied for a 
two-way split. We therefore applied the criteria for a two-way split 
for the ``with MCC and without MCC'' subgroups and found that all five 
criteria were met. The following table illustrates our findings.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                      Proposed new MS-DRGs                             cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
With MCC........................................................           1,052            13.6         $48,305
Without MCC.....................................................           2,051             7.1          29,006
----------------------------------------------------------------------------------------------------------------

    For the proposed new MS-DRGs for cases reporting a PJI with a hip 
or knee procedure, there is at least (1) 500 cases in the MCC subgroup 
and 500 cases in the without MCC subgroup; (2) 5 percent of the cases 
in the MCC group and 5 percent in the without MCC subgroup; (3) a 20 
percent difference in average costs between the MCC group and the 
without MCC group; (4) a $2,000 difference in average costs between the 
MCC group and the without MCC group; and (5) a 3-percent reduction in 
cost variance, indicating that the proposed severity level splits 
increase the explanatory power of the base MS-DRG in capturing 
differences in expected cost between the proposed MS-DRG severity level 
splits by at least 3 percent and thus improve the overall accuracy of 
the IPPS payment system.
    As a result, for FY 2026, we are proposing to create new MS-DRGs 
403 and 404 (Hip or Knee Procedures with Principal Diagnosis of 
Periprosthetic Joint Infection with MCC and without MCC, respectively). 
The following table reflects a simulation of the proposed new MS-DRGs.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                      Proposed new MS-DRGs                             cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
Proposed MS-DRG 403.............................................           1,052            13.6         $48,305
Proposed MS-DRG 404.............................................           2,051             7.1          29,006
----------------------------------------------------------------------------------------------------------------

b. Arthroscopy
    Consistent with our annual review of the MS-DRGs, we consider 
changes in resource consumption, treatment patterns, technology, and 
any other factors that may change the relative use of hospital 
resources. In our review of the claims data from the September 2024 
update of the FY 2024 MedPAR file, we identified an extremely low 
volume of cases for MS-DRG 509 (Arthroscopy). Specifically, we found 16 
cases with an average length of stay of 5.2 days and average costs of 
$18,239.
    An arthroscopy is a surgical procedure that allows orthopaedic 
surgeons to see the inside of a joint through a small incision and with 
specialized instruments (for example, arthroscope). The ICD-10-PCS 
codes describing arthroscopy and currently assigned to MS-DRG 509 are 
shown in the following table.

          Procedure Codes Describing Arthroscopy in MS-DRG 509
------------------------------------------------------------------------
          ICD-10-PCS code                        Description
------------------------------------------------------------------------
0RJ04ZZ...........................  Inspection of occipital-cervical
                                     joint, percutaneous endoscopic
                                     approach.
0RJ14ZZ...........................  Inspection of cervical vertebral
                                     joint, percutaneous endoscopic
                                     approach.
0RJ34ZZ...........................  Inspection of cervical vertebral
                                     disc, percutaneous endoscopic
                                     approach.
0RJ44ZZ...........................  Inspection of cervicothoracic
                                     vertebral joint, percutaneous
                                     endoscopic approach.
0RJ54ZZ...........................  Inspection of cervicothoracic
                                     vertebral disc, percutaneous
                                     endoscopic approach.
0RJ64ZZ...........................  Inspection of thoracic vertebral
                                     joint, percutaneous endoscopic
                                     approach.
0RJ94ZZ...........................  Inspection of thoracic vertebral
                                     disc, percutaneous endoscopic
                                     approach.
0RJA4ZZ...........................  Inspection of thoracolumbar
                                     vertebral joint, percutaneous
                                     endoscopic approach.
0RJB4ZZ...........................  Inspection of thoracolumbar
                                     vertebral disc, percutaneous
                                     endoscopic approach.
0RJE4ZZ...........................  Inspection of right sternoclavicular
                                     joint, percutaneous endoscopic
                                     approach.
0RJF4ZZ...........................  Inspection of left sternoclavicular
                                     joint, percutaneous endoscopic
                                     approach.
0RJG4ZZ...........................  Inspection of right
                                     acromioclavicular joint,
                                     percutaneous endoscopic approach.
0RJH4ZZ...........................  Inspection of left acromioclavicular
                                     joint, percutaneous endoscopic
                                     approach.

[[Page 18053]]

 
0RJJ4ZZ...........................  Inspection of right shoulder joint,
                                     percutaneous endoscopic approach.
0RJK4ZZ...........................  Inspection of left shoulder joint,
                                     percutaneous endoscopic approach.
0RJL4ZZ...........................  Inspection of right elbow joint,
                                     percutaneous endoscopic approach.
0RJM4ZZ...........................  Inspection of left elbow joint,
                                     percutaneous endoscopic approach.
0RJN4ZZ...........................  Inspection of right wrist joint,
                                     percutaneous endoscopic approach.
0RJP4ZZ...........................  Inspection of left wrist joint,
                                     percutaneous endoscopic approach.
0RJQ4ZZ...........................  Inspection of right carpal joint,
                                     percutaneous endoscopic approach.
0RJR4ZZ...........................  Inspection of left carpal joint,
                                     percutaneous endoscopic approach.
0RJS4ZZ...........................  Inspection of right carpometacarpal
                                     joint, percutaneous endoscopic
                                     approach.
0RJT4ZZ...........................  Inspection of left carpometacarpal
                                     joint, percutaneous endoscopic
                                     approach.
0RJU4ZZ...........................  Inspection of right
                                     metacarpophalangeal joint,
                                     percutaneous endoscopic approach.
0RJV4ZZ...........................  Inspection of left
                                     metacarpophalangeal joint,
                                     percutaneous endoscopic approach.
0RJW4ZZ...........................  Inspection of right finger
                                     phalangeal joint, percutaneous
                                     endoscopic approach.
0RJX4ZZ...........................  Inspection of left finger phalangeal
                                     joint, percutaneous endoscopic
                                     approach.
0SJ04ZZ...........................  Inspection of lumbar vertebral
                                     joint, percutaneous endoscopic
                                     approach.
0SJ34ZZ...........................  Inspection of lumbosacral joint,
                                     percutaneous endoscopic approach.
0SJ54ZZ...........................  Inspection of sacrococcygeal joint,
                                     percutaneous endoscopic approach.
0SJ64ZZ...........................  Inspection of coccygeal joint,
                                     percutaneous endoscopic approach.
0SJ74ZZ...........................  Inspection of right sacroiliac
                                     joint, percutaneous endoscopic
                                     approach.
0SJ84ZZ...........................  Inspection of left sacroiliac joint,
                                     percutaneous endoscopic approach.
0SJ94ZZ...........................  Inspection of right hip joint,
                                     percutaneous endoscopic approach.
0SJB4ZZ...........................  Inspection of left hip joint,
                                     percutaneous endoscopic approach.
0SJC4ZZ...........................  Inspection of right knee joint,
                                     percutaneous endoscopic approach.
0SJD4ZZ...........................  Inspection of left knee joint,
                                     percutaneous endoscopic approach.
0SJF4ZZ...........................  Inspection of right ankle joint,
                                     percutaneous endoscopic approach.
0SJG4ZZ...........................  Inspection of left ankle joint,
                                     percutaneous endoscopic approach.
0SJH4ZZ...........................  Inspection of right tarsal joint,
                                     percutaneous endoscopic approach.
0SJJ4ZZ...........................  Inspection of left tarsal joint,
                                     percutaneous endoscopic approach.
0SJK4ZZ...........................  Inspection of right tarsometatarsal
                                     joint, percutaneous endoscopic
                                     approach.
0SJL4ZZ...........................  Inspection of left tarsometatarsal
                                     joint, percutaneous endoscopic
                                     approach.
0SJM4ZZ...........................  Inspection of right metatarsal-
                                     phalangeal joint, percutaneous
                                     endoscopic approach.
0SJN4ZZ...........................  Inspection of left metatarsal-
                                     phalangeal joint, percutaneous
                                     endoscopic approach.
0SJP4ZZ...........................  Inspection of right toe phalangeal
                                     joint, percutaneous endoscopic
                                     approach.
0SJQ4ZZ...........................  Inspection of left toe phalangeal
                                     joint, percutaneous endoscopic
                                     approach.
------------------------------------------------------------------------

    In light of our initial findings of 16 cases for MS-DRG 509, we 
further reviewed the MedPAR claims data for cases assigned to MS-DRG 
509 for the past 5 fiscal years. As reflected in the following table, 
the data indicate that the number of cases grouping to MS-DRG 509 has 
steadily declined.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of     Average lenth
                   FY and MedPAR data reviewed                         cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
FY 2022 (FY 2020 MedPAR)........................................              25             3.9         $10,372
FY 2023 (FY 2021 MedPAR)........................................              31             4.2          10,882
FY 2024 (FY 2022 MedPAR)........................................              34             4.3          11,380
FY 2025 (FY 2023 MedPAR)........................................              21             5.4          13,683
FY 2026 (FY 2024 MedPAR)........................................              16             5.2          18,239
----------------------------------------------------------------------------------------------------------------

    We note that, if, during our annual MS-DRG analysis we identify 
that there are only a few patients in a respective MS-DRG, consistent 
with our established process, we consider if there have been potential 
changes in the clinical characteristics of the patients, treatment 
patterns, or resource utilization. A principle of the MS-DRGs and the 
characteristics of a meaningful DRG classification scheme is the 
ability to detect such changes and accordingly, propose clinically 
appropriate modifications that are also consistent with resource 
utilization.
    We believe that the volume of cases reporting the arthroscopy 
procedures in the inpatient setting has shifted to the outpatient 
setting over the years; it is usually performed as an outpatient 
procedure. Of the 16 cases found to report an arthroscopy procedure in 
the FY 2024 MedPAR data, 13 cases also reported another procedure. For 
example, one case that reported procedure code 0RJK4ZZ (Inspection of 
left shoulder joint, percutaneous endoscopic approach) also reported 
procedure code 0RBK4ZZ (Excision of left shoulder joint, percutaneous 
endoscopic approach). Procedure code 0RBK4ZZ is assigned to MS-DRGs 
510, 511, and 512 (Shoulder, Elbow or Forearm Procedures, Except Major 
Joint Procedures with MCC, with CC, and without CC/MCC, respectively). 
However, because of the surgical hierarchy, the resulting assignment is 
MS-DRG 509.
    Using the September 2024 update of the FY 2024 MedPAR file, we also 
reviewed the base DRG by severity claims data for MS-DRG 509 to 
determine the number of cases, average length of stay and average costs 
for the 16 cases by severity level (1=MCC, 2=CC and 3=NonCC). Our 
findings are shown in the following table.

[[Page 18054]]



----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                             MS-DRG                                    cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
509-1...........................................................               4             5.5         $15,196
509-2...........................................................               7             6.1          27,880
509-3...........................................................               5             3.6           7,177
                                                                 -----------------------------------------------
    509 base DRG total..........................................              16             5.2          18,239
----------------------------------------------------------------------------------------------------------------

    Next, we reviewed the claims data from the September 2024 update of 
the FY 2024 MedPAR file for MS-DRGs 510, 511, and 512 (Shoulder, Elbow 
or Forearm Procedures, Except Major Joint Procedures with MCC, with CC, 
and without CC/MCC, respectively); MS-DRGs 513 and 514 (Hand or Wrist 
Procedures, Except Major Thumb or Joint Procedures with CC/MCC and 
without CC/MCC, respectively); and MS-DRGs 515, 516, and 517 (Other 
Musculoskeletal System and Connective Tissue O.R. Procedures with MCC, 
with CC, and without CC/MCC, respectively) because these MS-DRGs are 
considered to be clinically appropriate and consistent with the 
arthroscopy procedure code descriptions in MS-DRG 509 previously listed 
that specify the anatomic site. Our findings are shown in the following 
tables.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                             MS-DRG                                    cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
510.............................................................             916             6.4         $25,000
511.............................................................           2,538             4.3          18,701
512.............................................................           1,303             2.6          14,582
513.............................................................           1,335             5.0          14,219
514.............................................................             317             2.6           9,556
515.............................................................           4,095             8.4          28,466
516.............................................................          10,522             5.0          18,832
517.............................................................           5,951             2.9          14,067
----------------------------------------------------------------------------------------------------------------

    Based on our analysis and review of the cases grouping to MS-DRG 
509, we believe it is appropriate to delete MS-DRG 509 and reassign the 
47 procedure codes describing arthroscopy of various anatomic sites to 
clinically appropriate MS-DRGs that also align with the resource 
utilization for these cases. For example, of the 16 cases found to 
group to MS-DRG 509, in addition to identifying 13 cases reporting 
additional procedures as previously discussed, we also identified 11 
cases reporting diagnosis codes designated as a CC or MCC where the 
average length of stay and average costs of those cases are comparable 
with the average length of stay and average costs of the cases in the 
MS-DRGs considered clinically appropriate for their reassignment. 
Therefore, for FY 2026, of the 47 procedure codes previously listed 
describing arthroscopy of various anatomic sites, we are proposing to:
    1. Reassign the 8 procedure codes describing arthroscopy of the 
shoulder or elbow joint to MS-DRGs 510, 511, and 512 (Shoulder, Elbow 
or Forearm Procedures, Except Major Joint Procedures with MCC, with CC, 
and without CC/MCC, respectively).
    2. Reassign the 10 procedure codes describing arthroscopy of the 
hand or wrist joint to MS-DRGs 513 and 514 (Hand or Wrist Procedures, 
Except Major Thumb or Joint Procedures with CC/MCC and without CC/MCC, 
respectively).
    3. Reassign the 29 procedure codes describing arthroscopy of 
various vertebral joints and other musculoskeletal joints to MS-DRGs 
515, 516, and 517 (Other Musculoskeletal System and Connective Tissue 
O.R. Procedures with MCC, with CC, and without CC/MCC, respectively).
    We refer the reader to Table 6P.7a for the detailed list of 
procedure codes with the proposed MS-DRG reassignments.
c. MS-DRG Logic for MS-DRGs 456, 457, and 458
    We identified an inconsistency in the GROUPER logic for MS-DRGs 
456, 457, and 458 (Spinal Fusion Except Cervical with Spinal Curvature, 
Malignancy, Infection or Extensive Fusions with MCC, with CC, and 
without CC/MCC, respectively) related to the ICD-10-CM diagnosis codes 
describing a principal diagnosis of infection. The logic for case 
assignment to MS-DRGs 456, 457, and 458 as displayed in the ICD-10 MS-
DRG Definitions Manual Version 42.1 (which is available on the CMS 
website at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/MS-DRG-Classifications-and-Software) is 
comprised of four logic lists. The first logic list is entitled 
``Spinal Fusion Except Cervical'' and is defined by a list of procedure 
codes designated as O.R. procedures that describe spinal fusion 
procedures of the thoracic, thoracolumbar, lumbar, lumbosacral, 
sacrococcygeal, and sacroiliac joint. (We note that 12 procedure codes 
describing Fusion of coccygeal joint were deleted effective with 
discharges beginning April 1, 2025, in version 42.1). The second logic 
list is entitled ``Spinal Curvature/Malignancy/Infection'' and is 
defined by a list of diagnosis codes describing spinal curvature, 
spinal malignancy, and spinal infection that are used to define the 
logic for case assignment when any one of the listed diagnosis codes is 
reported as the principal diagnosis. The third logic list is entitled 
``OR Secondary Diagnosis'' and is defined by a list of diagnosis codes 
describing curvature of the spine that are used to define the logic for 
case assignment when any one of the listed codes is reported as a 
secondary diagnosis. The fourth logic list is entitled ``Extensive 
Fusions'' and is defined by a list of procedure codes designated as 
O.R. procedures that describe extensive spinal fusion procedures. We 
refer the reader to the ICD-10 MS-DRG Definitions Manual Version 42.1 
(available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software) for

[[Page 18055]]

complete documentation of the GROUPER logic for MS-DRGs 456, 457, and 
458.
    In the second logic list entitled ``Spinal Curvature/Malignancy/
Infection'' there are a subset of diagnosis codes describing spinal 
infections. In our review and analysis of MS-DRGs 456, 457, and 458, we 
identified additional diagnosis codes within the ICD-10-CM 
classification describing spinal infections that are not currently 
listed in the logic for case assignment to MS-DRGs 456, 457, and 458. 
Specifically, we identified the following 47 diagnoses that we believe 
are clinically appropriate to add to the existing diagnosis codes 
describing spinal infections in MS-DRGs 456, 457, and 458.

------------------------------------------------------------------------
        ICD-10-CM code                        Description
------------------------------------------------------------------------
A02.24.......................  Salmonella osteomyelitis.
A54.40.......................  Gonococcal infection of musculoskeletal
                                system, unspecified.
A54.41.......................  Gonococcal spondylopathy.
A54.43.......................  Gonococcal osteomyelitis.
A54.49.......................  Gonococcal infection of other
                                musculoskeletal tissue.
M46.21.......................  Osteomyelitis of vertebra, occipito-
                                atlanto-axial region.
M46.22.......................  Osteomyelitis of vertebra, cervical
                                region.
M46.23.......................  Osteomyelitis of vertebra,
                                cervicothoracic region.
M46.30.......................  Infection of intervertebral disc
                                (pyogenic), site unspecified.
M46.31.......................  Infection of intervertebral disc
                                (pyogenic), occipito-atlanto-axial
                                region.
M46.32.......................  Infection of intervertebral disc
                                (pyogenic), cervical region.
M46.33.......................  Infection of intervertebral disc
                                (pyogenic), cervicothoracic region.
M46.34.......................  Infection of intervertebral disc
                                (pyogenic), thoracic region.
M46.35.......................  Infection of intervertebral disc
                                (pyogenic), thoracolumbar region.
M46.36.......................  Infection of intervertebral disc
                                (pyogenic), lumbar region.
M46.37.......................  Infection of intervertebral disc
                                (pyogenic), lumbosacral region.
M46.38.......................  Infection of intervertebral disc
                                (pyogenic), sacral and sacrococcygeal
                                region.
M46.39.......................  Infection of intervertebral disc
                                (pyogenic), multiple sites in spine.
M46.50.......................  Other infective spondylopathies, site
                                unspecified.
M46.51.......................  Other infective spondylopathies, occipito-
                                atlanto-axial region.
M46.52.......................  Other infective spondylopathies, cervical
                                region.
M46.53.......................  Other infective spondylopathies,
                                cervicothoracic region.
M46.54.......................  Other infective spondylopathies, thoracic
                                region.
M46.55.......................  Other infective spondylopathies,
                                thoracolumbar region.
M46.56.......................  Other infective spondylopathies, lumbar
                                region.
M46.57.......................  Other infective spondylopathies,
                                lumbosacral region.
M46.58.......................  Other infective spondylopathies, sacral
                                and sacrococcygeal region.
M46.59.......................  Other infective spondylopathies, multiple
                                sites in spine.
M86.00.......................  Acute hematogenous osteomyelitis,
                                unspecified site.
M86.09.......................  Acute hematogenous osteomyelitis,
                                multiple sites.
M86.10.......................  Other acute osteomyelitis, unspecified
                                site.
M86.19.......................  Other acute osteomyelitis, multiple
                                sites.
M86.20.......................  Subacute osteomyelitis, unspecified site.
M86.29.......................  Subacute osteomyelitis, multiple sites.
M86.30.......................  Chronic multifocal osteomyelitis,
                                unspecified site.
M86.39.......................  Chronic multifocal osteomyelitis,
                                multiple sites.
M86.40.......................  Chronic osteomyelitis with draining
                                sinus, unspecified site.
M86.49.......................  Chronic osteomyelitis with draining
                                sinus, multiple sites.
M86.50.......................  Other chronic hematogenous osteomyelitis,
                                unspecified site.
M86.59.......................  Other chronic hematogenous osteomyelitis,
                                multiple sites.
M86.60.......................  Other chronic osteomyelitis, unspecified
                                site.
M86.69.......................  Other chronic osteomyelitis, multiple
                                sites.
M86.8X0......................  Other osteomyelitis, multiple sites.
M86.8X9......................  Other osteomyelitis, unspecified sites.
M86.9........................  Osteomyelitis, unspecified.
T84.63XA.....................  Infection and inflammatory reaction due
                                to internal fixation device of spine,
                                initial encounter.
T84.69XA.....................  Infection and inflammatory reaction due
                                to internal fixation device of other
                                site, initial encounter.
------------------------------------------------------------------------

    Therefore, for clinical consistency and because these codes 
describe spinal infections that could reasonably require a spinal 
fusion procedure, we are proposing to add the previously listed 
diagnosis codes to the logic list entitled ``Spinal Curvature/
Malignancy/Infection'' in MS-DRGs 456, 457, and 458, effective October 
1, 2025, for FY 2026.
    We also identified eight diagnosis codes currently listed in the 
second logic list entitled ``Spinal Curvature/Malignancy/Infection'' 
for case assignment to MS-DRGs 456, 457, and 458 that we believe are 
not clinically appropriate to maintain in the list. Specifically, we 
identified the following diagnoses.

------------------------------------------------------------------------
          ICD-10-CM code                         Description
------------------------------------------------------------------------
M4850XA...........................  Collapsed vertebra, not elsewhere
                                     classified, site unspecified,
                                     initial encounter for fracture.
M4854XA...........................  Collapsed vertebra, not elsewhere
                                     classified, thoracic region,
                                     initial encounter for fracture.
M4855XA...........................  Collapsed vertebra, not elsewhere
                                     classified, thoracolumbar region,
                                     initial encounter for fracture.
M4856XA...........................  Collapsed vertebra, not elsewhere
                                     classified, lumbar region, initial
                                     encounter for fracture.

[[Page 18056]]

 
M4857XA...........................  Collapsed vertebra, not elsewhere
                                     classified, lumbosacral region,
                                     initial encounter for fracture.
M4858XA...........................  Collapsed vertebra, not elsewhere
                                     classified, sacral and
                                     sacrococcygeal region, initial
                                     encounter for fracture.
M8008XA...........................  Age-related osteoporosis with
                                     current pathological fracture,
                                     vertebra(e), initial encounter for
                                     fracture.
M8088XA...........................  Other osteoporosis with current
                                     pathological fracture, vertebra(e),
                                     initial encounter for fracture.
------------------------------------------------------------------------

    The previously listed diagnosis codes do not describe a spinal 
curvature, malignancy or infection, rather they describe compression 
fractures of various anatomic sites (for example, collapsed vertebra) 
and osteoporosis is a condition where the bones become weakened leading 
to an increased risk of bone fracture. Therefore, for clinical 
consistency and to ensure accuracy in the logic for case assignment, we 
are proposing to remove the eight previously listed diagnosis codes 
from the logic list entitled ``Spinal Curvature/Malignancy/Infection'' 
in MS-DRGs 456, 457, and 458, effective October 1, 2025, for FY 2026.
6. Review of Procedure Codes in MS-DRGs 981 Through 983 and 987 Through 
989
    We annually conduct a review of procedures producing assignment to 
MS-DRGs 981 through 983 (Extensive O.R. Procedure Unrelated to 
Principal Diagnosis with MCC, with CC, and without CC/MCC, 
respectively) or MS-DRGs 987 through 989 (Non-Extensive O.R. Procedure 
Unrelated to Principal Diagnosis with MCC, with CC, and without CC/MCC, 
respectively) on the basis of volume, by procedure, to see if it would 
be appropriate to move cases reporting these procedure codes out of 
these MS-DRGs into one of the surgical MS-DRGs for the MDC into which 
the principal diagnosis falls. The data are arrayed in two ways for 
comparison purposes. We look at a frequency count of each major 
operative procedure code. We also compare procedures across MDCs by 
volume of procedure codes within each MDC. We use this information to 
determine which procedure codes and diagnosis codes to examine.
    We identify those procedures occurring in conjunction with certain 
principal diagnoses with sufficient frequency to justify adding them to 
one of the surgical MS-DRGs for the MDC in which the diagnosis falls. 
We also consider whether it would be more appropriate to move the 
principal diagnosis codes into the MDC to which the procedure is 
currently assigned.
    Based on the results of our review of the claims data from the 
September 2024 update of the FY 2024 MedPAR file of cases found to 
group to MS-DRGs 981 through 983 or MS-DRGs 987 through 989, we are 
proposing to move the cases reporting the procedures and/or principal 
diagnosis codes described in this section of this proposed rule from 
MS-DRGs 981 through 983 or MS-DRGs 987 through 989 into one of the 
surgical MS-DRGs for the MDC into which the principal diagnosis or 
procedure is assigned.
1. Control of Bleeding in the Genitourinary Tract
    During the review of the cases that group to MS-DRGs 981 through 
983, we noted that when ICD-10-PCS procedure codes describing the 
control of bleeding in the genitourinary tract are reported in 
conjunction with ICD-10-CM diagnosis codes in MDC 16 (Diseases and 
Disorders of Blood, Blood Forming Organs, and Immunologic Disorders), 
the cases group to MS-DRGs 981 through 983. The five ICD-10-CM 
procedure codes reviewed, as well as their current MDC assignments, are 
found in the table:

------------------------------------------------------------------------
    ICD-10-PCS code           Description                 MDC
------------------------------------------------------------------------
0W3R0ZZ................  Control bleeding in     05; 11; 12; 13; 17; 21;
                          genitourinary                               24
                          tract, open
                          approach.
0W3R3ZZ................  Control bleeding in     05; 11; 12; 13; 17; 21;
                          genitourinary                               24
                          tract, percutaneous
                          approach.
0W3R4ZZ................  Control bleeding in     05; 11; 12; 13; 17; 21;
                          genitourinary                               24
                          tract, percutaneous
                          endoscopic approach.
0W3R7ZZ................  Control bleeding in     05; 11; 12; 13; 17; 21;
                          genitourinary                               24
                          tract, via natural
                          or artificial
                          opening.
0W3R8ZZ................  Control bleeding in     05; 11; 12; 13; 17; 21;
                          genitourinary                               24
                          tract, via natural
                          or artificial
                          opening endoscopic.
------------------------------------------------------------------------

    We refer the reader to Appendix E of the ICD-10 MS-DRG Version 42.1 
Definitions Manual, which is available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps.html, for the MS-DRG assignment for each procedure code 
listed and further discussion of how each procedure code may be 
assigned to multiple MDCs and MS-DRGs under the IPPS.
    The principal diagnosis most frequently reported with the five ICD-
10-PCS procedure codes describing the control of bleeding in the 
genitourinary tract in MDC 16 is ICD-10-CM code D68.32 (Hemorrhagic 
disorder due to extrinsic circulating anticoagulants). Hemorrhagic 
disorder due to extrinsic circulating anticoagulants is a condition 
that occurs when bleeding is caused by anticoagulants or 
antithrombotics, which are medicines commonly used to treat or prevent 
blood clots by decreasing the amount of clotting proteins in the blood.
    We examined claims data from the September 2024 update of the FY 
2024 MedPAR file to identify the average length of stay and average 
costs for cases reporting a procedure code describing the control of 
bleeding in the genitourinary tract with a principal diagnosis in MDC 
16, which are currently grouping to MS-DRGs 981 through 983, as well as 
all cases in MS-DRGs 981 through 983. Our findings are shown in the 
following table.

[[Page 18057]]



    MS-DRGs 981-983--All Cases and Cases Reporting a Procedure Code Describing the Control of Bleeding in the
                             Genitourinary Tract and a Principal Diagnosis in MDC 16
----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                             MS-DRG                                    cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
MS-DRG 981--All cases...........................................          19,155            11.7         $40,259
MS-DRG 981--Cases reporting procedure code describing the                     23               9          27,900
 control of bleeding in the genitourinary tract and a principal
 diagnosis in MDC 16............................................
MS-DRG 982--All cases...........................................           9,392             5.7          21,951
MS-DRG 982--Cases reporting procedure code describing the                     64             4.3          13,462
 control of bleeding in the genitourinary tract and a principal
 diagnosis in MDC 16............................................
MS-DRG 983--All cases...........................................           1,831             2.6          15,837
MS-DRG 983--Cases reporting procedure code describing the                      5             2.8           9,416
 control of bleeding in the genitourinary tract and a principal
 diagnosis in MDC 16............................................
----------------------------------------------------------------------------------------------------------------

    We then examined the MS-DRGs within MDC 16 and determined that the 
cases reporting procedure codes describing the control of bleeding in 
the genitourinary tract with a principal diagnosis in MDC 16 would most 
suitably group to MS-DRGs 802, 803, and 804 (Other O.R. Procedures of 
the Blood and Blood Forming Organs with MCC, with CC, and without CC/
MCC, respectively), which contains a group of procedures that are only 
infrequently related to the diagnoses in the MDC, but are still 
occasionally performed on patients with cases assigned to the MDC with 
these diagnoses.
    To determine how the resources for this subset of cases compared to 
cases in MS-DRGs 802, 803, and 804 as a whole, we examined the average 
costs and length of stay for cases in MS-DRGs 802, 803, and 804. Our 
findings are shown in this table.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                             MS-DRG                                    cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
MS-DRG 802--All cases...........................................             417            11.6         $37,595
MS-DRG 803--All cases...........................................             452             5.3          16,762
MS-DRG 804--All cases...........................................             209             2.2          12,605
----------------------------------------------------------------------------------------------------------------

    We reviewed the data and noted for this subset of cases, the 
average costs are lower and the average length of stays are generally 
shorter than for cases in MS-DRGs 802, 803, and 804. However, we 
believe that when an ICD-10-PCS procedure code describing the control 
of bleeding in the genitourinary tract is reported with a principal 
diagnosis in MDC 16 (typically hemorrhagic disorder due to extrinsic 
circulating anticoagulants), the procedure is related to the principal 
diagnosis. Because a procedure code describing the control of bleeding 
in the genitourinary tract would be expected to be related to a 
principal diagnosis describing a hemorrhagic disorder due to extrinsic 
circulating anticoagulants, it is clinically appropriate for the 
procedures to group to the same MS-DRGs as the principal diagnoses. 
Therefore, we are proposing to add the five procedure codes listed 
previously to MDC 16. Under this proposal, cases reporting a procedure 
code describing the control of bleeding in the genitourinary tract with 
a principal diagnosis of a hemorrhagic disorder due to extrinsic 
circulating anticoagulants (diagnosis code D68.32) in MDC 16 would 
group to MS-DRGs 802, 803, and 804.
2. Removal of Infusion Device From Peritoneal Cavity
    During the review of the cases that group to MS-DRGs 981 through 
983, we noted that when ICD-10-PCS procedure codes describing the 
removal of an infusion device from the peritoneal cavity are reported 
in conjunction with ICD-10-CM diagnosis codes in MDC 21 (Injuries, 
Poisonings and Toxic Effects of Drugs), the cases group to MS-DRGs 981 
through 983. The three ICD-10-PCS procedure codes reviewed, as well as 
their current MDC assignments, are found in the table:

------------------------------------------------------------------------
          ICD-10-PCS code                    Description           MDC
------------------------------------------------------------------------
0WPG03Z............................  Removal of infusion device   06; 21
                                      from peritoneal cavity,
                                      open approach.
0WPG33Z............................  Removal of infusion device   06; 21
                                      from peritoneal cavity,
                                      percutaneous approach.
0WPG43Z............................  Removal of infusion device   06; 21
                                      from peritoneal cavity,
                                      percutaneous endoscopic
                                      approach.
------------------------------------------------------------------------

    We refer the reader to Appendix E of the ICD-10 MS-DRG Version 42.1 
Definitions Manual (which is available on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps.html) for the MS-DRG assignment for each procedure code 
listed and further discussion of how each procedure code may be 
assigned to multiple MDCs and MS-DRGs under the IPPS.
    The principal diagnosis most frequently reported with the three 
ICD-10-PCS procedure codes describing the removal of an infusion device 
from the peritoneal cavity in MDC 21 is ICD-10-CM code T85.71XA 
(Infection and inflammatory reaction due to peritoneal dialysis 
catheter, initial encounter).
    We examined claims data from the September 2024 update of the FY 
2024 MedPAR file to identify the average length of stay and average 
costs for cases reporting a procedure code describing the removal of an 
infusion device from the peritoneal cavity with a principal diagnosis 
in MDC 21, which are currently grouping to MS-DRGs 981 through 983, as 
well as all cases in MS-

[[Page 18058]]

DRGs 981 through 983. Our findings are shown in the following table.

  MS-DRGs 981-983--All Cases and Cases Reporting a Procedure Code Describing the Removal of an Infusion Device
                         From the Peritoneal Cavity and a Principal Diagnosis in MDC 21
----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                             MS-DRG                                    cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
MS-DRG 981--All cases...........................................          19,155            11.7         $40,259
MS-DRG 981--Cases reporting procedure code describing the                     85             8.8          25,556
 removal of an infusion device from the peritoneal cavity and a
 principal diagnosis in MDC 21..................................
MS-DRG 982--All cases...........................................           9,392             5.7          21,951
MS-DRG 982--Cases reporting procedure code describing the                      1               4          11,845
 removal of an infusion device from the peritoneal cavity and a
 principal diagnosis in MDC 21..................................
MS-DRG 983--All cases...........................................           1,831             2.6          15,837
MS-DRG 983--Cases reporting procedure code describing the                      0               0               0
 removal of an infusion device from the peritoneal cavity and a
 principal diagnosis in MDC 21..................................
----------------------------------------------------------------------------------------------------------------

    We then examined the MS-DRGs within MDC 21 and determined that the 
cases reporting procedure codes describing the removal of an infusion 
device from the peritoneal cavity with a principal diagnosis in MDC 21 
would most suitably group to MS-DRGs 907, 908, and 909 (Other O.R. 
Procedures for Injuries with MCC, with CC, and without CC/MCC, 
respectively), which contains other operating room procedures performed 
for injuries as further detailed below.
    To determine how the resources for this subset of cases compared to 
cases in MS-DRGs 907, 908, and 909 as a whole, we examined the average 
costs and length of stay for cases in MS-DRGs 907, 908, and 909. Our 
findings are shown in this table.

----------------------------------------------------------------------------------------------------------------
                                                                     Number of    Average length
                             MS-DRG                                    cases          of stay      Average costs
----------------------------------------------------------------------------------------------------------------
MS-DRG 907--All cases...........................................           7,754             9.4         $34,049
MS-DRG 908--All cases...........................................           6,625             4.8          17,938
MS-DRG 909--All cases...........................................           1,721             2.7          12,154
----------------------------------------------------------------------------------------------------------------

    We reviewed the data and noted for the subset of cases reporting 
procedure codes describing the removal of an infusion device from the 
peritoneal cavity with a principal diagnosis in MDC 21, the average 
costs are lower and the average length of stays are shorter than for 
cases in MS-DRGs 907, 908, and 909. However, we believe that when an 
ICD-10-PCS procedure code describing the removal of an infusion device 
from the peritoneal cavity is reported with a principal diagnosis in 
MDC 21 (typically infection and inflammatory reaction due to peritoneal 
dialysis catheter), the procedure is related to the principal 
diagnosis. Because a procedure code describing the removal of an 
infusion device from the peritoneal cavity would be expected to be 
related to a principal diagnosis describing an infected catheter used 
for peritoneal dialysis causing inflammation in the surrounding tissue, 
it is clinically appropriate for the procedures to group to the same 
MS-DRGs as the principal diagnoses. Therefore, we are proposing to add 
the three procedure codes listed previously to MDC 21. Under this 
proposal, cases reporting a procedure code describing the removal of an 
infusion device from the peritoneal cavity with a principal diagnosis 
of an infection and inflammatory reaction due to peritoneal dialysis 
catheter, initial encounter (diagnosis code T85.71XA) in MDC 21 would 
group to MS-DRGs 907, 908, and 909.
    In addition to the internal review of procedures producing 
assignment to MS-DRGs 981 through 983 or MS-DRGs 987 through 989, we 
also consider requests that we receive to examine cases found to group 
to MS-DRGs 981 through 983 or MS-DRGs 987 through 989 to determine if 
it would be appropriate to add procedure codes to one of the surgical 
MS-DRGs for the MDC into which the principal diagnosis falls or to move 
the principal diagnosis to the surgical MS-DRGs to which the procedure 
codes are assigned. We did not receive any requests suggesting 
reassignment.
    We also review the list of ICD-10-PCS procedures that, when in 
combination with their principal diagnosis code, result in assignment 
to MS DRGs 981 through 983, or 987 through 989, to ascertain whether 
any of those procedures should be reassigned from one of those two 
groups of MS-DRGs to the other group of MS-DRGs based on average costs 
and the average length of stay. We look at the data for trends such as 
shifts in treatment practice or reporting practice that would make the 
resulting MS-DRG assignment illogical. If we find these shifts, we 
would propose to move cases to keep the MS-DRGs clinically similar or 
to propose MS-DRG assignments for the cases in a similar manner. 
Generally, we propose to move only those procedures for which we have 
an adequate number of discharges to analyze the data.
    Additionally, we also consider requests that we receive to examine 
cases found to group to MS-DRGs 981 through 983 or MS-DRGs 987 through 
989 to determine if it would be appropriate for the cases to be 
reassigned from one of the MS-DRG groups to the other. We did not 
receive any requests suggesting reassignment. Further, based on the 
results of our review of the claims data from the September 2024 update 
of the FY 2024 MedPAR file we did not identify any cases for 
reassignment. Therefore, for FY 2026 we are not proposing to move any 
cases reporting procedure codes from MS-DRGs 981 through 983 to MS-DRGs 
987 through 989 or vice versa.

[[Page 18059]]

7. Operating Room (O.R.) and Non-O.R. Procedures
a. Background
    Under the IPPS MS-DRGs (and former CMS MS-DRGs), we have a list of 
procedure codes that are considered operating room (O.R.) procedures. 
Historically, we developed this list using physician panels that 
classified each procedure code based on the procedure and its effect on 
consumption of hospital resources. For example, generally the presence 
of a surgical procedure which required the use of the operating room 
would be expected to have a significant effect on the type of hospital 
resources (for example, operating room, recovery room, and anesthesia) 
used by a patient, and therefore, these patients were considered 
surgical. Because the claims data generally available do not precisely 
indicate whether a patient was taken to the operating room, surgical 
patients were identified based on the procedures that were performed.
    Generally, if the procedure was not expected to require the use of 
the operating room, the patient would be considered medical (non-O.R.). 
Currently, each ICD-10-PCS procedure code has designations that 
determine whether and in what way the presence of that procedure on a 
claim impacts the MS-DRG assignment. First, each ICD-10-PCS procedure 
code is either designated as an O.R. procedure for purposes of MS- DRG 
assignment (``O.R. procedures'') or is not designated as an O.R. 
procedure for purposes of MS-DRG assignment (``non-O.R. procedures''). 
Second, for each procedure that is designated as an O.R. procedure, 
that O.R. procedure is further classified as either extensive or non-
extensive. Third, for each procedure that is designated as a non-O.R. 
procedure, that non-O.R. procedure is further classified as either 
affecting the MS-DRG assignment or not affecting the MS-DRG assignment. 
We refer to these designations that do affect MS-DRG assignment as 
``non O.R. affecting the MS-DRG.'' For new procedure codes that have 
been finalized through the ICD-10 Coordination and Maintenance 
Committee meeting process and are proposed to be classified as O.R. 
procedures or non-O.R. procedures affecting the MS-DRG, we recommend 
the MS-DRG assignment which is then made available in association with 
the proposed rule (Table 6B.--New Procedure Codes) and subject to 
public comment. These proposed assignments are generally based on the 
assignment of predecessor codes or the assignment of similar codes. For 
example, we generally examine the MS-DRG assignment for similar 
procedures, such as the other approaches for that procedure, to 
determine the most appropriate MS-DRG assignment for procedures 
proposed to be newly designated as O.R. procedures. As discussed in 
section II.C.13 of the preamble of this FY 2026 IPPS/LTCH PPS proposed 
rule, we are making Table 6B.--New Procedure Codes--FY 2026 available 
on the CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps.html. We also refer 
readers to the ICD-10 MS-DRG Version 42.1 Definitions Manual at: 
https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software.html for detailed 
information regarding the designation of procedures as O.R. or non-O.R. 
(affecting the MS- DRG) in Appendix E--Operating Room Procedures and 
Procedure Code/MS-DRG Index.
    In the FY 2020 IPPS/LTCH PPS proposed rule, we stated that, given 
the long period of time that has elapsed since the original O.R. 
(extensive and non-extensive) and non-O.R. designations were 
established, the incremental changes that have occurred to these O.R. 
and non-O.R. procedure code lists, and changes in the way inpatient 
care is delivered, we plan to conduct a comprehensive, systematic 
review of the ICD-10-PCS procedure codes. This will be a multiyear 
project during which we will also review the process for determining 
when a procedure is considered an operating room procedure. For 
example, we may restructure the current O.R. and non-O.R. designations 
for procedures by leveraging the detail that is now available in the 
ICD-10 claims data. We refer readers to the discussion regarding the 
designation of procedure codes in the FY 2018 IPPS/LTCH PPS final rule 
(82 FR 38066) where we stated that the determination of when a 
procedure code should be designated as an O.R. procedure has become a 
much more complex task. This is, in part, due to the number of various 
approaches available in the ICD-10-PCS classification, as well as 
changes in medical practice. While we have typically evaluated 
procedures on the basis of whether or not they would be performed in an 
operating room, we believe that there may be other factors to consider 
with regard to resource utilization, particularly with the 
implementation of ICD-10.
    We discussed in the FY 2020 IPPS/LTCH PPS proposed rule (84 FR 
19230) that, as a result of this planned review and potential 
restructuring, procedures that are currently designated as O.R. 
procedures may no longer warrant that designation, and conversely, 
procedures that are currently designated as non-O.R. procedures may 
warrant an O.R. designation. We intend to consider the resources used 
and how a procedure should affect the MS-DRG assignment. We may also 
consider the effect of certain surgical approaches to evaluate whether 
to subdivide a subset of MS-DRGs based on a specific surgical approach. 
We stated we plan to utilize our available MedPAR claims data as a 
basis for this review and the input of our clinical advisors. As part 
of this comprehensive review of the procedure codes, we also intend to 
evaluate the MS-DRG assignment of the procedures and the current 
surgical hierarchy because both of these factor into the process of 
refining the ICD-10 MS-DRGs to better recognize complexity of service 
and resource utilization.
    In the FY 2021 IPPS/LTCH PPS final rule (85 FR 58540 through 
58541), we provided a summary of the comments we had received in 
response to our request for feedback on what factors or criteria to 
consider in determining whether a procedure is designated as an O.R. 
procedure in the ICD-10-PCS classification system for future 
consideration. We also stated that in consideration of the PHE, we 
believed it may be appropriate to allow additional time for the claims 
data to stabilize prior to selecting the timeframe to analyze for this 
review.
    For this FY 2026 IPPS/LTCH PPS proposed rule, we continue to 
believe additional time is necessary as we continue to develop our 
process and methodology. As discussed in the FY 2024 IPPS/LTCH PPS 
final rule (88 FR 58749), we have signaled in prior rulemaking that the 
designation of an O.R. procedure encompasses more than the physical 
location of the hospital room in which the procedure may be performed; 
in other words, the performance of a procedure in an operating room is 
not the sole determining factor we will consider as we examine the 
designation of a procedure in the ICD-10-PCS classification system. We 
are exploring alternatives on how we may restructure the current O.R. 
and non-O.R. designations for procedures by leveraging the detail that 
is available in the ICD-10 claims data. We are considering the feedback 
received on what factors and/or criteria to consider in determining 
whether a procedure is designated as an O.R. procedure in the ICD-10-
PCS classification system as we continue to develop our process and

[[Page 18060]]

methodology and will provide more detail on this analysis and the 
methodology for conducting this comprehensive review in future 
rulemaking. We encourage the public to continue to submit feedback and 
comments on any other factors in consideration of our refinement 
efforts to recognize and differentiate consumption of resources under 
the ICD-10 MS-DRGs.
    For this FY 2026 IPPS/LTCH PPS proposed rule, we received requests 
regarding changing the designation of specific ICD-10-PCS procedure 
codes from non-O.R. to O.R. procedures. In this section of the preamble 
of this FY 2026 IPPS/LTCH PPS proposed rule, we detail and respond to 
those requests. In this section of the preamble of this proposed rule, 
we also discuss the proposal we are making based on our internal review 
and analysis and the process that was utilized for evaluating each 
procedure code. For each procedure, we considered--
     Whether the procedure would typically require the 
resources of an operating room;
     Whether it is an extensive or a non-extensive procedure; 
and
     To which MS-DRGs the procedure should be assigned.
    We note that many MS-DRGs require the presence of any O.R. 
procedure. As a result, cases with a principal diagnosis associated 
with a particular MS-DRG would, by default, be grouped to that MS-DRG. 
Therefore, we do not list these MS-DRGs in our discussion in this 
section of the preamble of this FY 2026 IPPS/LTCH PPS proposed rule. 
Instead, we only discuss MS-DRGs that require explicitly adding the 
relevant procedure codes to the GROUPER logic in order for those 
procedure codes to affect the MS-DRG assignment as intended.
    For procedures that would not typically require the resources of an 
operating room, we determined if the procedure should affect the MS-DRG 
assignment. In cases where we are proposing to change the designation 
of procedure codes from non-O.R. procedures to O.R. procedures, we also 
are proposing one or more MS-DRGs with which these procedures are 
clinically aligned and to which the procedure code would be assigned.
    In addition, cases that contain O.R. procedures will map to MS-DRGs 
981, 982, or 983 (Extensive O.R. Procedure Unrelated to Principal 
Diagnosis with MCC, with CC, and without CC/MCC, respectively) or MS-
DRGs 987, 988, or 989 (Non-Extensive O.R. Procedure Unrelated to 
Principal Diagnosis with MCC, with CC, and without CC/MCC, 
respectively) when they do not contain a principal diagnosis that 
corresponds to one of the MDCs to which that procedure is assigned. 
These procedures need not be assigned to MS-DRGs 981 through 989 in 
order for this to occur. Therefore, we did not specifically address 
that aspect in summarizing the request and our response to that request 
or the proposal we are making based on our internal review and analysis 
in this section of the preamble of this FY 2026 IPPS/LTCH PPS proposed 
rule.
b. Non-O.R. Procedures to O.R. Procedures
(1) Open Drainage of the Mandible
    In the FY 2022 IPPS/LTCH PPS final rule (86 FR 44895 through 
44896), we discussed a request we received to change the designation of 
procedure codes 0N9R0ZZ (Drainage of maxilla, open approach), 0N9T0ZZ 
(Drainage of right mandible, open approach), and 0N9V0ZZ (Drainage of 
left mandible, open approach), from non-O.R. to O.R. procedures. In the 
FY 2022 final rule, we stated that we disagreed that the procedures 
describing the open drainage of the maxilla or mandible typically 
require the resources of an operating room. We stated that if admission 
is required for the treatment of a jaw infection, the admission is 
quite likely due to the need for IV antibiotics as opposed to the need 
for operating room resources in an inpatient setting. After 
consideration of the public comments we received, we finalized our 
proposal to maintain the non-O.R. designation of ICD-10-PCS procedure 
codes 0N9R0ZZ, 0N9T0ZZ, and 0N9V0ZZ, without modification, for FY 2022.
    For this FY 2026 IPPS/LTCH PPS proposed rule, we again received a 
request to change the designation of ICD-10-PCS codes 0N9T0ZZ (Drainage 
of right mandible, open approach), and 0N9V0ZZ (Drainage of left 
mandible, open approach), from non-O.R. to O.R. The requestor 
identified procedure code 0W950ZZ (Drainage of lower jaw, open 
approach) that is currently designated as an O.R. procedure and stated 
that the body part value of mandible is more specific than body part 
value of lower jaw. The requestor also stated that in the ICD-10-PCS 
classification, other procedure codes that describe drainage procedures 
performed on body parts deeper than subcutaneous tissue, such as 
muscles, tendons, and bone, are designated as O.R. procedures. 
Therefore, the requestor stated that procedure codes 0N9T0ZZ and 
0N9V0ZZ should also be recognized as O.R. procedures for purposes of 
MS-DRG assignment. The requestor did not provide a specific list of the 
procedure codes that describe drainage procedures performed on body 
parts deeper than subcutaneous tissue, such as muscles, tendons, and 
bone, that are currently designated as O.R. procedures for CMS to 
review.
    In the ICD-10 MS-DRGs Definitions Manual Version 42.1, procedure 
codes 0N9T0ZZ and 0N9V0ZZ are currently designated as non-O.R. 
procedures for purposes of MS-DRG assignment. We reviewed this issue 
and continue to disagree that the procedures describing the open 
drainage of the mandible are typically performed in the operating room 
under general anesthesia. As discussed in the FY 2022 IPPS/LTCH PPS 
final rule (86 FR 44896), these procedures can be done in an oral 
surgeon's office, or an outpatient setting and are rarely performed in 
the inpatient setting. Therefore, we are proposing to maintain the 
current non-O.R. designation of ICD-10-PCS procedure codes 0N9T0ZZ and 
0N9V0ZZ.
    In our review of this issue, we agree with the requestor that in 
the ICD-10 MS-DRGs Definitions Manual Version 42.1, procedure code 
0W950ZZ (Drainage of lower jaw, open approach) is currently designated 
as an O.R. procedure for purposes of MS-DRG assignment. While we have 
stated in prior rulemaking that a correlation cannot be made between 
procedures performed in general anatomic regions and procedures 
performed in specific body parts because these procedures coded with 
the general anatomic regions body part represent a broader range of 
procedures that cannot be coded to a specific body part, we continue to 
believe if admission is required for the treatment of a jaw infection, 
the admission is quite likely due to the need for IV antibiotics as 
opposed to the need for operating room resources in an inpatient 
setting. Like procedures that describe the open drainage of mandible, 
procedures to drain the lower jaw can also be done in an oral surgeon's 
office or an outpatient setting and are rarely performed in the 
inpatient setting. We agree that procedures that describe the open 
drainage of mandible consume resources comparable to the related ICD-
10-PCS procedure code that describes the open drainage of the jaw. 
These procedures do not typically require the resources of an operating 
room and are not surgical in nature. Therefore, for clinical 
consistency, we are proposing to remove procedure code 0W950ZZ 
(Drainage of lower jaw, open approach) from the FY 2026 ICD-10 MS-DRGs 
Version 43 Definitions Manual in Appendix E--Operating

[[Page 18061]]

Room Procedures and Procedure Code/MS-DRG Index as an O.R. procedure. 
Under this proposal, this procedure would no longer impact MS-DRG 
assignment.
(2) Introduction of Paclitaxel-Coated Balloon Catheter Technology
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69094 through 
69096), we summarized and responded to comments we received regarding 
the O.R. designation and MS-DRG assignment of 16 procedure codes that 
describe introduction of the AGENTTM Paclitaxel-Coated 
Balloon Catheter technology that is indicated to treat coronary in-
stent restenosis (ISR) in patients with coronary artery disease. The 
following procedure codes describing use of the AGENTTM 
Paclitaxel-Coated Balloon Catheter technology were finalized following 
the March 19, 2024, ICD-10 Coordination and Maintenance Committee 
meeting and made available via the CMS website on June 5, 2024, at 
https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps. We refer the reader to the CMS website at: https://www.cms.gov/Medicare/Coding/ICD10/C-and-M-Meeting-Materials for 
additional detailed information regarding the request, including a 
recording of the discussion and the related meeting materials.

------------------------------------------------------------------------
       ICD-10-PCS code                        Description
------------------------------------------------------------------------
XW0J3HA.....................  Introduction of paclitaxel-coated balloon
                               technology, one balloon into coronary
                               artery, one artery, percutaneous
                               approach, new technology group 10.
XW0J3JA.....................  Introduction of paclitaxel-coated balloon
                               technology, two balloons into coronary
                               artery, one artery, percutaneous
                               approach, new technology group 10.
XW0J3KA.....................  Introduction of paclitaxel-coated balloon
                               technology, three balloons into coronary
                               artery, one artery, percutaneous
                               approach, new technology group 10.
XW0J3LA.....................  Introduction of paclitaxel-coated balloon
                               technology, four or more balloons into
                               coronary artery, one artery, percutaneous
                               approach, new technology group 10.
XW0K3HA.....................  Introduction of paclitaxel-coated balloon
                               technology, one balloon into coronary
                               artery, two arteries, percutaneous
                               approach, new technology group 10.
XW0K3JA.....................  Introduction of paclitaxel-coated balloon
                               technology, two balloons into coronary
                               artery, two arteries, percutaneous
                               approach, new technology group 10.
XW0K3KA.....................  Introduction of paclitaxel-coated balloon
                               technology, three balloons into coronary
                               artery, two arteries, percutaneous
                               approach, new technology group 10.
XW0K3LA.....................  Introduction of paclitaxel-coated balloon
                               technology, four or more balloons into
                               coronary artery, two arteries,
                               percutaneous approach, new technology
                               group 10.
XW0L3HA.....................  Introduction of paclitaxel-coated balloon
                               technology, one balloon into coronary
                               artery, three arteries, percutaneous
                               approach, new technology group 10.
XW0L3JA.....................  Introduction of paclitaxel-coated balloon
                               technology, two balloons into coronary
                               artery, three arteries, percutaneous
                               approach, new technology group 10.
XW0L3KA.....................  Introduction of paclitaxel-coated balloon
                               technology, three balloons into coronary
                               artery, three arteries, percutaneous
                               approach, new technology group 10.
XW0K3LA.....................  Introduction of paclitaxel-coated balloon
                               technology, four or more balloons into
                               coronary artery, two arteries,
                               percutaneous approach, new technology
                               group 10.
XW0L3HA.....................  Introduction of paclitaxel-coated balloon
                               technology, one balloon into coronary
                               artery, three arteries, percutaneous
                               approach, new technology group 10.
XW0L3JA.....................  Introduction of paclitaxel-coated balloon
                               technology, two balloons into coronary
                               artery, three arteries, percutaneous
                               approach, new technology group 10.
XW0L3KA.....................  Introduction of paclitaxel-coated balloon
                               technology, three balloons into coronary
                               artery, three arteries, percutaneous
                               approach, new technology group 10.
XW0M3LA.....................  Introduction of paclitaxel-coated balloon
                               technology, four or more balloons into
                               coronary artery, four or more arteries,
                               percutaneous approach, new technology
                               group 10.
------------------------------------------------------------------------

    For FY 2026, we received a request to reconsider the designation 
and MS-DRG assignment of the previously listed 16 procedure codes. 
Specifically, the requestor (the manufacturer) requested that the 
procedure codes be designated as O.R. procedures and assigned to the 
following surgical MS-DRGs:
     MS-DRG 250 Percutaneous Cardiovascular Procedures without 
Intraluminal Device with MCC
     MS-DRG 251 Percutaneous Cardiovascular Procedures without 
Intraluminal Device without MCC
     MS-DRG 321 Percutaneous Cardiovascular Procedures with 
Intraluminal Device with MCC or 4+ Arteries/Intraluminal Devices
     MS-DRG 322 Percutaneous Cardiovascular Procedures with 
Intraluminal Device without MCC
     MS-DRG 323 Coronary Intravascular Lithotripsy with 
Intraluminal Device with MCC
     MS-DRG 324 Coronary Intravascular Lithotripsy with 
Intraluminal Device without MCC
     MS-DRG 325 Coronary Intravascular Lithotripsy without 
Intraluminal Device
    According to the requestor, the root operation CMS identified as 
the most appropriate (that is, Introduction in the Administration 
section), and the predecessor code selected, (procedure code 3E073GC 
(Introduction of other therapeutic substance into coronary artery, 
percutaneous approach)), only involves a therapeutic substance being 
delivered via infusion or injection. The requestor stated that the 
procedure to administer the paclitaxel via the drug coated balloon 
(DCB) catheter is a surgical procedure as described in the instructions 
for use, with the drug delivery occurring using controlled prolonged 
balloon inflation during which the patient is monitored for signs of 
ischemia or arrythmia. The requestor stated that the procedure to 
deliver the paclitaxel is more appropriate as an O.R. procedure than a 
non-O.R. procedure. The requestor acknowledged that while the MS-DRG 
assignment for existing percutaneous coronary intervention (PCI) 
procedures is driven by vessel preparation or the use of an 
intraluminal device, it should not preclude the designation of the 
procedure codes identifying use of an AGENTTM Paclitaxel-
Coated Balloon Catheter technology that describes the

[[Page 18062]]

delivery of the paclitaxel to the coronary vessel(s) as O.R. 
procedures.
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69095 through 
69096), we stated that under our established process, we reviewed the 
predecessor code and MS-DRG assignment most closely associated with the 
new procedure codes. We noted that because the procedure codes 
describing the use of an AGENTTM Paclitaxel-Coated Balloon 
Catheter are describing delivery of the paclitaxel to the coronary 
vessel(s), the predecessor code is 3E073GC, which is designated as a 
non-O.R. procedure and does not affect MS-DRG assignment. We also 
stated that, as discussed at the March 19, 2024, ICD-10 Coordination 
and Maintenance Committee meeting and in the commenters' feedback, a 
preparatory step (that is, vessel preparation by either angioplasty, 
atherectomy, or lithotripsy) is required to be performed first, before 
the AGENTTM Paclitaxel-Coated Balloon Catheter is deployed. 
We noted that each type of vessel preparation procedure is designated 
as an O.R. procedure and maps to one of the previously listed surgical 
MS-DRGs. We also noted that based on the surgical hierarchy, the 
reporting of one of the vessel preparation steps (that is, angioplasty, 
atherectomy, or lithotripsy), or placement of a new stent in connection 
with the use of the AGENTTM Paclitaxel-Coated Balloon 
Catheter would result in assignment to one of the previously listed 
surgical MS-DRGs. We noted that use of the AGENTTM 
Paclitaxel-Coated Balloon Catheter to deliver the paclitaxel to the 
coronary vessel(s) cannot occur in the absence of a surgical vessel 
preparation and therefore, it is the vessel preparation procedure that 
will determine the surgical MS-DRG assignment to one of the previously 
listed surgical MS-DRGs.
    We reviewed the instructions for use submitted by the requestor 
regarding the procedure to insert the drug-coated balloon catheter. The 
instructions for use state:

    Note: For optimal DCB results, adequate lesion preparation is 
essential. This should include predilatation with a non-coated 
coronary balloon. Intravascular imaging to guide lesion preparation 
and to assess the adequacy of the final result is strongly 
recommended.
    Caution: Lesion preparation is necessary to prevent delamination 
of the balloon's drug coating while traversing patient anatomy. The 
TransPax coating is designed to facilitate drug transfer into the 
vessel wall upon contact. Do not use the AGENT Drug-Coated Balloon 
Catheter for lesion preparation.

    We also note that the FDA-approved indication states, ``The 
AGENTTM Paclitaxel-Coated Balloon Catheter is intended to be 
used after appropriate vessel preparation in adult patients undergoing 
percutaneous coronary intervention (PCI) in coronary arteries 2.0 mm to 
4.0 mm in diameter and lesions up to 26 mm in length for the purpose of 
improving myocardial perfusion when treating in-stent restenosis 
(ISR).'' We further note that, as reflected in the March 19, 2024, ICD-
10 Coordination and Maintenance Committee meeting materials, ``The 
AGENTTM Drug-Coated Balloon (DCB) has been designated by the 
FDA as an implant for PMA purposes. Per FDA guidance, the drug 
component is considered a permanent implant because it remains in the 
body for greater than 30 days.''
    As such, we continue to disagree with designating the procedure to 
delivery paclitaxel to a coronary vessel as identified by any one of 
the previously listed 16 procedure codes as O.R. procedures. As stated 
earlier in this section, the MS-DRG assignment is dependent on the 
surgical vessel preparation procedure that would be reported when the 
AGENTTM Paclitaxel-Coated Balloon Catheter technology is 
used to deliver the paclitaxel to the coronary vessel(s) and result in 
assignment to one of the previously listed surgical MS-DRGs. We refer 
the reader to the ICD-10 MS-DRG Definitions Manual, Version 42.1 
available in association with this FY 2026 IPPS/LTCH PPS proposed rule 
on the CMS website at https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps for complete documentation of the 
GROUPER logic for the previously listed surgical MS-DRGs under MDC 05. 
For the reasons discussed, we are maintaining the designation of the 16 
procedure codes describing use of the AGENTTM Paclitaxel-
Coated Balloon Catheter technology as non-O.R. for FY 2026.
(3) Endoscopic Drainage of the Ureter With Drainage Device
    During our internal review, we noted that procedure codes that 
describe drainage of the ureter with a drainage device, via a natural 
or artificial opening endoscopic approach, are not recognized as O.R. 
procedures for purposes of MS-DRG assignment. We identified the 
following three related codes:

------------------------------------------------------------------------
       ICD-10-PCS code                        Description
------------------------------------------------------------------------
0T9680Z.....................  Drainage of right ureter with drainage
                               device, via natural or artificial opening
                               endoscopic.
0T9780Z.....................  Drainage of left ureter with drainage
                               device, via natural or artificial opening
                               endoscopic.
0T9880Z.....................  Drainage of bilateral ureters with
                               drainage device, via natural or
                               artificial opening endoscopic.
------------------------------------------------------------------------

    Upon further review and consideration, we believe that procedure 
codes 0T9680Z, 0T9780Z, and 0T9880Z that describe the drainage of the 
ureter with a drainage device via a natural or artificial opening 
endoscopic approach warrant designation as O.R. procedures. These 
procedures involve the use of a cystoscope and include the insertion of 
a small tube (called a ureteral stent or drainage tube) into one or 
both of the ureters (the tubes that carry urine from the kidneys to the 
bladder) to drain urine from a blocked or partially blocked ureter and 
must be performed by a urologist who specializes in diagnosing and 
treating conditions of the urinary tract, genitals, and adrenal glands 
through surgery. These procedures are typically performed in an 
operating room under anesthesia, can take about 30 minutes or more, 
including preparation time, and require that a patient's vital signs be 
monitored by the health care team for the duration of the procedure.
    Therefore, we are proposing to add procedure codes 0T9680Z, 
0T9780Z, and 0T9880Z to the FY 2026 ICD-10 MS-DRG Version 43 
Definitions Manual in Appendix E--Operating Room Procedures and 
Procedure Code/MS-DRG Index as O.R. procedures assigned to MS-DRG 264 
(Other Circulatory System O.R. Procedures) in MDC 05 (Diseases and 
Disorders of the Circulatory System); MS-DRGs 656, 657, and 658 (Kidney 
and Ureter Procedures for Neoplasm, with MCC, with CC, and without CC/
MCC, respectively) and MS-DRGs 659, 660, and 661 (Kidney and Ureter 
Procedures for Non-Neoplasm, with MCC, with CC, and without CC/MCC, 
respectively) in

[[Page 18063]]

MDC 11 (Diseases and Disorders of the Kidney and Urinary Tract); MS-
DRGs 907, 908, and 909 (Other O.R. Procedures for Injuries with MCC, 
with CC, and without CC/MCC, respectively) in MDC 21 (Injuries, 
Poisonings and Toxic Effects of Drugs); and MS-DRGs 957, 958, and 959 
(Other O.R. Procedures for Multiple Significant Trauma with MCC, with 
CC, and without CC/MCC, respectively) in MDC 24 (Multiple Significant 
Trauma).
8. Proposed Changes to the MS-DRG Diagnosis Codes for FY 2026
a. Background of the CC List and the CC Exclusions List
    Under the IPPS MS-DRG classification system, we have developed a 
standard list of diagnoses that are considered CCs. Historically, we 
developed this list using physician panels that classified each 
diagnosis code based on whether the diagnosis, when present as a 
secondary condition, would be considered a substantial complication or 
comorbidity. A substantial complication or comorbidity was defined as a 
condition that, because of its presence with a specific principal 
diagnosis, would cause an increase in the length-of-stay by at least 1 
day in at least 75 percent of the patients. However, depending on the 
principal diagnosis of the patient, some diagnoses on the basic list of 
complications and comorbidities may be excluded if they are closely 
related to the principal diagnosis. In FY 2008, we evaluated each 
diagnosis code to determine its impact on resource use and to determine 
the most appropriate CC subclassification (NonCC, CC, or MCC) 
assignment. We refer readers to sections II.D.2. and 3. of the preamble 
of the FY 2008 IPPS final rule with comment period for a discussion of 
the refinement of CCs in relation to the MS DRGs we adopted for FY 2008 
(72 FR 47152 through 47171).
b. Overview of Comprehensive CC/MCC Analysis
    In the FY 2008 IPPS/LTCH PPS final rule (72 FR 47159), we described 
our process for establishing three different levels of CC severity into 
which we would subdivide the diagnosis codes. The categorization of 
diagnoses as an MCC, a CC, or a NonCC was accomplished using an 
iterative approach in which each diagnosis was evaluated to determine 
the extent to which its presence as a secondary diagnosis resulted in 
increased hospital resource use. We refer readers to the FY 2008 IPPS/
LTCH PPS final rule (72 FR 47159) for a complete discussion of our 
approach. Since the comprehensive analysis was completed for FY 2008, 
we have evaluated diagnosis codes individually when assigning severity 
levels to new codes and when receiving requests to change the severity 
level of specific diagnosis codes.
    We noted in the FY 2020 IPPS/LTCH PPS proposed rule (84 FR 19235 
through 19246) that with the transition to ICD-10-CM and the 
significant changes that have occurred to diagnosis codes since the FY 
2008 review, we believed it was necessary to conduct a comprehensive 
analysis once again. Based on this analysis, we proposed changes to the 
severity level designations for 1,492 ICD-10-CM diagnosis codes and 
invited public comments on those proposals. As summarized in the FY 
2020 IPPS/LTCH PPS final rule, many commenters expressed concern with 
the proposed severity level designation changes overall and recommended 
that CMS conduct further analysis prior to finalizing any proposals. 
After careful consideration of the public comments we received, as 
discussed further in the FY 2020 IPPS/LTCH PPS final rule, we generally 
did not finalize our proposed changes to the severity designations for 
the ICD-10-CM diagnosis codes, other than the changes to the severity 
level designations for the diagnosis codes in category Z16 (Resistance 
to antimicrobial drugs) from a NonCC to a CC. We stated that postponing 
adoption of the proposed comprehensive changes in the severity level 
designations would allow further opportunity to provide additional 
background to the public on the methodology utilized and clinical 
rationale applied across diagnostic categories to assist the public in 
its review. We refer readers to the FY 2020 IPPS/LTCH PPS final rule 
(84 FR 42150 through 42152) for a complete discussion of our response 
to public comments regarding the proposed severity level designation 
changes for FY 2020.
    As discussed in the FY 2021 IPPS/LTCH PPS proposed rule (85 FR 
32550), to provide the public with more information on the CC/MCC 
comprehensive analysis discussed in the FY 2020 IPPS/LTCH PPS proposed 
and final rules, CMS hosted a listening session on October 8, 2019. The 
listening session included a review of this methodology utilized to 
mathematically measure the impact on resource use. We refer readers to 
https://www.cms.gov/Outreach-and-Education/Outreach/OpenDoorForums/Downloads/10082019ListingSessionTrasncriptandQandAsandAudioFile.zip for 
the transcript and audio file of the listening session. We also refer 
readers to https://www.cms.gov/Medicare/MedicareFee-for-Service-Payment/AcuteInpatientPPS/MS-DRG-Classifications-and-Software.html for 
the supplementary file containing the mathematical data generated using 
claims from the FY 2018 MedPAR file describing the impact on resource 
use of specific ICD-10-CM diagnosis codes when reported as a secondary 
diagnosis that was made available for the listening session.
    In the FY 2021 IPPS/LTCH PPS final rule (85 FR 58550 through 
58554), we discussed our plan to continue a comprehensive CC/MCC 
analysis, using a combination of mathematical analysis of claims data 
as discussed in the FY 2020 IPPS/LTCH PPS proposed rule (84 FR 19235) 
and the application of nine guiding principles and plan to present the 
findings and proposals in future rulemaking. The nine guiding 
principles are as follows:
     Represents end of life/near death or has reached an 
advanced stage associated with systemic physiologic decompensation and 
debility.
     Denotes organ system instability or failure.
     Involves a chronic illness with susceptibility to 
exacerbations or abrupt decline.
     Serves as a marker for advanced disease states across 
multiple different comorbid conditions.
     Reflects systemic impact.
     Post-operative/post-procedure condition/complication 
impacting recovery.
     Typically requires higher level of care (that is, 
intensive monitoring, greater number of caregivers, additional testing, 
intensive care unit care, extended length of stay).
     Impedes patient cooperation or management of care or both.
     Recent (last 10 years) change in best practice, or in 
practice guidelines and review of the extent to which these changes 
have led to concomitant changes in expected resource use.
    We refer readers to the FY 2021 IPPS/LTCH PPS final rule for a 
complete summation of the comments we received for each of the nine 
guiding principles and our responses to those comments.
    In the FY 2022 IPPS/LTCH PPS proposed rule (86 FR 25175 through 
25180), as another interval step in our comprehensive review of the 
severity designations of ICD-10-CM diagnosis codes, we requested public 
comments on a potential change to the severity level designations for 
``unspecified'' ICD-10-CM diagnosis codes that we

[[Page 18064]]

were considering adopting for FY 2022. Specifically, we noted we were 
considering changing the severity level designation of ``unspecified'' 
diagnosis codes to a NonCC where there are other codes available in 
that code subcategory that further specify the anatomic site. As 
summarized in the FY 2022 IPPS/LTCH PPS final rule, many commenters 
expressed concern with the potential severity level designation changes 
overall and recommended that CMS delay any possible change to the 
designation of these codes to give hospitals and their physicians time 
to prepare. After careful consideration of the public comments we 
received, we maintained the severity level designation of the 
``unspecified'' diagnosis codes currently designated as a CC or MCC 
where there are other codes available in that code subcategory that 
further specify the anatomic site for FY 2022. We refer readers to the 
FY 2022 IPPS/LTCH PPS final rule (86 FR 44916 through 44926) for a 
complete discussion of our response to public comments regarding the 
potential severity level designation changes. Instead, for FY 2022, we 
finalized a new Medicare Code Editor (MCE) code edit for 
``unspecified'' codes, effective with discharges on and after April 1, 
2022. We stated we believe finalizing this new edit would provide 
additional time for providers to be educated while not affecting the 
payment the provider is eligible to receive. We refer the reader to 
section II.D.14.e. of the preamble of the FY 2022 IPPS/LTCH PPS final 
rule (86 FR 44940 through 44943) for the complete discussion.
    As discussed in the FY 2023 IPPS/LTCH PPS final rule (87 FR 48866), 
we stated that as the new unspecified edit became effective beginning 
with discharges on and after April 1, 2022, we believed it was 
appropriate to not propose to change the designation of any ICD-10-CM 
diagnosis codes, including the unspecified codes that are subject to 
the ``Unspecified Code'' edit, as we continue our comprehensive CC/MCC 
analysis to allow interested parties the time needed to become 
acclimated to the new edit.
    In the FY 2023 IPPS/LTCH proposed rule (87 FR 28177 through 28181), 
we also requested public comments on how the reporting of diagnosis 
codes in categories Z55-Z65 might improve our ability to recognize 
severity of illness, complexity of illness, and/or utilization of 
resources under the MS-DRGs. We stated we were also interested in 
receiving feedback on how we might otherwise foster the documentation 
and reporting of the diagnosis codes describing social and economic 
circumstances to more accurately reflect each health care encounter and 
improve the reliability and validity of the coded data.
    In the FY 2024 IPPS/LTCH PPS final rule (88 FR 58755 through 
58759), based on our analysis of the impact on resource use for the 
ICD-10-CM Z codes that describe homelessness and after consideration of 
public comments, we finalized changes to the severity levels for 
diagnosis codes Z59.00 (Homelessness, unspecified), Z59.01 (Sheltered 
homelessness), and Z59.02 (Unsheltered homelessness), from NonCC to CC. 
We stated our expectation that finalizing the changes would encourage 
the increased documentation and reporting of the diagnosis codes 
describing social and economic circumstances and serve as an example 
for providers that, when they document and report SDOH codes, CMS can 
further examine the claims data and consider future changes to the 
designation of these codes when reported as a secondary diagnosis. We 
further stated CMS would continue to monitor and evaluate the reporting 
of the diagnosis codes describing social and economic circumstances.
    In the FY 2025 proposed rule (89 FR 35995), we noted that since the 
FY 2021 IPPS/LTCH PPS final rule we have continued to solicit feedback 
regarding the nine guiding principles, as well as other possible ways 
we can incorporate meaningful indicators of clinical severity. We 
stated we had encouraged the public to provide a detailed explanation 
of how applying a suggested concept or principle would ensure that the 
severity designation appropriately reflects resource use for any 
diagnosis code when providing feedback or comments. We also noted in 
the FY 2024 IPPS/LTCH PPS proposed rule (88 FR 26748 through 26750) we 
illustrated how the nine guiding principles might be applied in 
evaluating changes to the severity designations of diagnosis codes in 
our discussion of our proposed changes to the severity level 
designation for certain diagnosis codes that describe homelessness. 
After consideration of the ongoing feedback and comments we had 
received, we proposed to finalize the nine guiding principles. After 
consideration of the public comments received, and for the reasons 
discussed, we finalized the nine guiding principles as listed 
previously in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69076 through 
69078). Accordingly, we stated that our evaluations to determine the 
extent to which the presence of a diagnosis code as a secondary 
diagnosis results in increased hospital resource use will include a 
combination of mathematical analysis of claims data as discussed in the 
FY 2020 IPPS/LTCH PPS proposed rule (84 FR 19235) and the application 
of the nine guiding principles.
    Additionally, in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69079 
through 69084), based on our analysis of the impact on resource use for 
the ICD-10-CM diagnosis codes that describe inadequate housing and 
housing instability, and after consideration of public comments, we 
finalized changes to the severity levels for seven diagnosis codes for 
FY 2025.
    For this FY 2026 IPPS/LTCH PPS proposed rule, we did not receive 
any requests to change the severity level designations of specific ICD-
10-CM diagnosis codes. At this time, we believe it is appropriate to 
continue to formulate future next steps in our comprehensive review of 
the severity designations of ICD-10-CM diagnosis codes, rather than 
proposing to change the designation of individual ICD-10-CM diagnosis 
codes. Therefore, we are not proposing any severity designation changes 
for FY 2026.
    As we continue our comprehensive CC/MCC analysis, we may consider 
proposing changes for other diagnosis codes in the future based on our 
analysis of the impact on resource use, per our methodology, as 
previously described, and consideration of the guiding principles 
consistent with our annual process and will provide more detail in 
future rulemaking. We have updated the Impact on Resource Use Files on 
the CMS website so that the public can review the mathematical data for 
the impact on resource use generated using claims from the FY 2019 
through the FY 2024 MedPAR files. These files are posted on the CMS 
website at https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software.
    For new diagnosis codes approved for FY 2026, consistent with our 
annual process for designating a severity level (MCC, CC, or NonCC) for 
new diagnosis codes, we first review the predecessor code designation, 
followed by review and consideration of other factors that may be 
relevant to the severity level designation, including the severity of 
illness, treatment difficulty, complexity of service and the resources 
utilized in the diagnosis or treatment of the condition. We note that 
this process does not automatically result in the new diagnosis code 
having the same designation as the predecessor code. We refer the 
reader to section II.C.9 of the preamble of this FY 2026 IPPS/LTCH

[[Page 18065]]

PPS proposed rule for the discussion of the proposed changes to the 
ICD-10-CM and ICD-10-PCS coding systems for FY 2026.
c. Proposed Additions and Deletions to the Diagnosis Code Severity 
Levels for FY 2026
    The following tables identify the proposed additions and deletions 
to the diagnosis code MCC severity levels list and the proposed 
additions and deletions to the diagnosis code CC severity levels list 
for FY 2026 and are available on the CMS website at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html:
     Table 6I.1--Proposed Additions to the MCC List--FY 2026;
     Table 6I.2--Proposed Deletions to the MCC List--FY 2026;
     Table 6J.1--Proposed Additions to the CC List--FY 2026; 
and
     Table 6J.2--Proposed Deletions to the CC List--FY 2026.
d. Proposed CC Exclusions List for FY 2026
    In the September 1, 1987, final notice (52 FR 33143) concerning 
changes to the DRG classification system, we modified the GROUPER logic 
so that certain diagnoses included on the standard list of CCs would 
not be considered valid CCs in combination with a particular principal 
diagnosis. We created the CC Exclusions List for the following reasons: 
(1) to preclude coding of CCs for closely related conditions; (2) to 
preclude duplicative or inconsistent coding from being treated as CCs; 
and (3) to ensure that cases are appropriately classified between the 
complicated and uncomplicated DRGs in a pair.
    In the May 19, 1987, proposed notice (52 FR 18886) and the 
September 1, 1987, final notice (52 FR 33154), we explained that the 
excluded secondary diagnoses were established using the following five 
principles:
     Chronic and acute manifestations of the same condition 
should not be considered CCs for one another;
     Specific and nonspecific (that is, not otherwise specified 
(NOS)) diagnosis codes for the same condition should not be considered 
CCs for one another;
     Codes for the same condition that cannot coexist, such as 
partial/total, unilateral/bilateral, obstructed/unobstructed, and 
benign/malignant, should not be considered CCs for one another;
     Codes for the same condition in anatomically proximal 
sites should not be considered CCs for one another; and
     Closely related conditions should not be considered CCs 
for one another.
    The creation of the CC Exclusions List was a major project 
involving hundreds of codes. We have continued to review the remaining 
CCs to identify additional exclusions and to remove diagnoses from the 
master list that have been shown not to meet the definition of a CC. We 
refer readers to the FY 2014 IPPS/LTCH PPS final rule (78 FR 50541 
through 50544) for detailed information regarding revisions that were 
made to the CC and CC Exclusion Lists under the ICD-9-CM MS-DRGs.
    The ICD-10 MS-DRGs Version 42.1 CC Exclusion List is included as 
Appendix C in the ICD-10 MS-DRG Definitions Manual (available on the 
CMS website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/ms-drg-classifications-and-software) and includes three lists identified as Part 1, Part 2 and 
Part 3. Part 1 is the list of all diagnosis codes that are defined as a 
CC or MCC when reported as a secondary diagnosis. For all diagnosis 
codes on the list, a link is provided to a collection of diagnosis 
codes which, when reported as the principal diagnosis, would cause the 
CC or MCC diagnosis to be considered as a NonCC. Part 2 is the list of 
diagnosis codes designated as an MCC only for patients discharged 
alive; otherwise, they are assigned as a NonCC. Part 3 is the list of 
diagnosis codes that are designated as a CC or MCC and included in the 
definition of the logic for the listed MS-DRGs. When reported as a 
secondary diagnosis and grouped to one of the listed MS-DRGs, the 
diagnosis is excluded from acting as a CC/MCC for severity in DRG 
assignment (that is, suppression logic).
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69093), we stated 
that, because commenters had raised concerns regarding the principal 
diagnoses listed under Part 1 of Appendix C--CC Exclusions List in 
Principal Diagnosis Collection Lists 1379 and 1380 that exclude 
diagnosis codes N18.5 (Chronic kidney disease, stage 5) and N18.6 (End 
stage renal disease) from acting as a CC or MCC under the CC exclusion 
logic in accordance with the list of five principles established in 
1987, we intended to perform a broad review of the conditions in these 
lists to determine if any modifications are warranted and to ensure 
they continue to be clinically appropriate. We note that the Principal 
Diagnosis Collection List numbers may change because of updates that 
are made to the list annually through rulemaking. Therefore, while 
under Version 41.1 the principal diagnoses listed in Principal 
Diagnosis Collection List numbers 1379 and 1380 exclude diagnosis codes 
N18.5 and N18.6 from acting as a CC or MCC, under Version 42.1, the 
principal diagnoses listed in Principal Diagnosis Collection List 
numbers 1330 and 1331 exclude diagnosis codes N18.5 and N18.6 from 
acting as a CC or MCC. Accordingly, we reviewed the list of principal 
diagnosis codes listed in Principal Diagnosis Collection List numbers 
1330 and 1331 that exclude diagnosis codes N18.5 and N18.6 from acting 
as a CC or MCC to assess clinical appropriateness.
    The findings from our review indicate several of the listed 
conditions, when reported as a principal diagnosis, are not applicable 
to exclude the designated N18.5 or N18.6 secondary CC/MCC diagnosis 
code under application of our five established principles finalized in 
the September 1, 1987, final notice (52 FR 33154) previously discussed. 
For example, diagnosis codes describing diabetes with other specified 
complications such as arthropathy, periodontal disease, or a foot 
ulcer, and diagnosis codes describing endometriosis, are not chronic 
and acute manifestations of, or closely related conditions to, chronic 
kidney disease, stage 5 (code N18.5) or end stage renal disease (code 
N18.6), nor are they describing codes for the same condition that 
cannot coexist.
    As previously described, the Principal Diagnosis Collection List 
numbers may change because of updates that are made to the list 
annually through rulemaking. We note that, under proposed Version 43, 
the proposed Principal Diagnosis Collection List number to exclude 
diagnosis codes N18.5 and N18.6 from acting as a CC or MCC is 1335. We 
are therefore proposing to remove the diagnosis codes listed in Table 
6P.8a associated with this FY 2026 IPPS/LTCH PPS proposed rule and 
available via the CMS website at https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps from Principal 
Diagnosis Collection List number 1335 under proposed Version 43. 
Findings from our internal review also indicated that diagnosis code 
I12.9 (Hypertensive chronic kidney disease with stage 1 through stage 4 
chronic kidney disease, or unspecified chronic kidney disease) is 
currently listed in Principal Diagnosis Collection List number 1331 and 
excludes diagnosis code N18.6 from acting as an MCC, however, diagnosis 
code I12.9 is not currently listed in the Principal Diagnosis 
Collection List number 1330 to exclude diagnosis code

[[Page 18066]]

N18.5. We believe it is clinically appropriate to add diagnosis code 
I12.9 to Principal Diagnosis Collection List number 1335 under Version 
43 because it would not be expected that a secondary diagnosis of N18.5 
would be reported with a principal diagnosis of I12.9. During our 
internal review we also identified diagnosis code I13.0 (Hypertensive 
heart and chronic kidney disease with heart failure and stage 1 through 
stage 4 chronic kidney disease, or unspecified chronic kidney disease) 
and diagnosis code I13.10 (Hypertensive heart and chronic kidney 
disease without heart failure, with stage 1 through stage 4 chronic 
kidney disease, or unspecified chronic kidney disease) that we believe 
are appropriate to add to Principal Diagnosis Collection List number 
1335 to exclude diagnosis codes N18.5 and N18.6 from acting as a CC/MCC 
when reported because the conditions describe chronic kidney disease, 
stage 5 and end stage renal disease (ESRD) and it would not be 
clinically appropriate to have a principal diagnosis describing stage 1 
through stage 4 chronic kidney disease reported with chronic kidney 
disease, stage 5 or ESRD.
    In summary, we are proposing to add diagnosis code I12.9 to 
Principal Diagnosis Collection List number 1335 to exclude diagnosis 
code N18.5 from acting as a CC, proposing to remove the diagnosis codes 
listed in Table 6P.8a associated with this FY 2026 IPPS/LTCH PPS 
proposed rule and available via the CMS website at https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps from 
Principal Diagnosis Collection List number 1335, and proposing to add 
diagnosis codes I13.0 and I13.10 to Principal Diagnosis Collection List 
number 1335 to exclude diagnosis codes N18.5 and N18.6 from acting as a 
CC/MCC.
    We intend to continue this type of internal review to ensure all 
the other Principal Diagnosis Collection lists reflect the appropriate 
codes in connection with the CC/MCC secondary diagnosis code that is 
excluded from acting as a CC/MCC. Any proposed changes to the lists 
will be discussed in future rulemaking. To inform future rulemaking, 
feedback and other suggestions may be submitted by October 20, 2025, 
and directed to MEARISTM at: https://mearis.cms.gov/public/home.
    We also performed an internal review of the diagnoses listed in 
Appendix C--Part 2: Codes That are Major CC Only if Patient Discharged 
Alive. The diagnoses listed in Part 2 of Appendix C are assigned as an 
MCC only for patients discharged alive, otherwise the codes are 
assigned as a NonCC. The diagnoses listed in Part 2 in Version 42.1 are 
shown in the following table.

------------------------------------------------------------------------
          ICD-10-CM code                         Description
------------------------------------------------------------------------
I46.2.............................  Cardiac arrest due to underlying
                                     cardiac condition.
I46.8.............................  Cardiac arrest due to other
                                     underlying condition.
I46.9.............................  Cardiac arrest, cause unspecified.
I49.01............................  Ventricular fibrillation.
R09.2.............................  Respiratory arrest.
R57.0.............................  Cardiogenic shock.
R57.1.............................  Hypovolemic shock.
R57.8.............................  Other shock.
------------------------------------------------------------------------

    In developing Appendix C--Part 2: Codes That are Major CC Only if 
Patient Discharged Alive (72 FR 47161 through 47168), the claims data 
were evaluated to determine if there was a difference in resource use 
between cases in which the patient was discharged alive or died during 
the hospital stay. For most secondary diagnoses, the charges were 
similar for the two groups. There were, however, a few diagnoses where 
the difference in charges and clinical considerations supported a 
different CC designation for patients who died before discharge. For 
these diagnoses, the patients who were discharged alive required 
significantly more hospital resources than the patients who died. 
Therefore, when reported as a secondary diagnosis, each of the 
diagnoses is designated as an MCC in cases where the patient is 
discharged alive and as a NonCC in cases where the patient died.
    We analyzed claims data from the September 2024 update of the FY 
2024 MedPAR file for the diagnoses currently listed in Appendix C--Part 
2. Our findings are reflected in the following table:

--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                            Patient discharged alive (without discharge     Patient expired (with discharge status 20)
                                                                            status 20)                   -----------------------------------------------
      ICD-10-CM code                Description          ------------------------------------------------
                                                             Number of                                       Number of        Avg LOS      Average cost
                                                               cases          Avg LOS      Average cost        cases
--------------------------------------------------------------------------------------------------------------------------------------------------------
I46.2....................  Cardiac arrest due to                   8,241            11.6         $61,108           5,766             5.3         $33,173
                            underlying cardiac condition.
I46.8....................  Cardiac arrest due to other             3,884            15.6          62,505           6,133             5.8          25,979
                            underlying condition.
I46.9....................  Cardiac arrest, cause                  13,121            13.3          59,732          28,437             5.2          24,933
                            unspecified.
I49.01...................  Ventricular fibrillation.....          10,705             9.9          52,118           6,788             4.6          28,949
R09.2....................  Respiratory arrest...........             367             8.7          33,536             375             5.5          17,280
R57.0....................  Cardiogenic shock............          46,537            12.5          58,432          23,335             6.8          39,457
R57.1....................  Hypovolemic shock............          32,614            10.8          39,051           6,476             8.3          38,697
R57.8....................  Other shock..................          37,728            12.4          50,374          11,570             8.4          43,215
--------------------------------------------------------------------------------------------------------------------------------------------------------

    As shown in the table, the data reflect that most of the conditions 
currently listed in Appendix C--Part 2, utilize hospital resources as 
expected, with the patients who were discharged alive (without 
discharge status 20) requiring significantly more hospital resources 
than the patients who expired (with discharge status 20), as 
demonstrated by the longer lengths of stay and higher average costs of 
these cases. We note however, that the resource utilization for cases 
reporting R57.1 (Hypovolemic shock) as a secondary diagnosis appear to 
be comparable whether the patient

[[Page 18067]]

was discharged alive or the patient expired. As reflected in the table, 
the claims data from the September 2024 update of the FY 2024 MedPAR 
file reflect that code R57.1 was reported as a secondary diagnosis in 
32,614 cases where the patient was discharged alive. These cases had 
average costs of $39,051 and an average length of stay of 10.8 days. In 
the 6,476 cases where R57.1 was reported as a secondary diagnosis and 
the patient expired, the average costs were slightly lower ($38,697 
versus $39,051) and the average length of stay was slightly shorter 
(8.3 days versus 10.8 days). We reviewed this issue and note 
clinically, the recommended treatment for hypovolemic shock is 
immediate intervention with fluid resuscitation with intravenous (IV) 
fluids, blood transfusions, and vasoactive drugs. Hypovolemic shock 
generally has a lower mortality rate and responds to timely treatment. 
As the claims data no longer reflect that patients reporting 
hypovolemic shock as secondary diagnosis that are discharged alive 
require significantly more hospital resources than the patients who 
expire, we are proposing to remove code R57.1 from the list found in 
Appendix C--Part 2: Codes That are Major CC Only if Patient Discharged 
Alive. Under this proposal, when reported as a secondary diagnosis, 
R57.1 (Hypovolemic shock) will be assigned as an MCC when the patient 
is discharged alive or if the patient expires.
    Based on our review, we considered if it was appropriate to add 
other diagnosis codes describing shock to Appendix C--Part 2. 
Specifically, we considered code T79.4XXA (Traumatic shock, initial 
encounter). ICD-10-CM diagnosis code T79.4XXA is currently designated 
as an MCC when reported as secondary diagnoses. Traumatic shock 
represents a unique pathological condition that begins with multiple, 
usually blunt, trauma and may conclude with acute respiratory distress 
syndrome, coagulopathy, sepsis, multiple organ dysfunction syndrome and 
death.
    We analyzed claims data from the September 2024 update of the FY 
2024 MedPAR file for cases reporting T79.4XXA as a secondary diagnosis 
and our findings are reflected in the following table:

--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                            Patient discharged alive (without discharge     Patient expired (with discharge status 20)
                                                                            status 20)                   -----------------------------------------------
      ICD-10-CM code                Description          ------------------------------------------------
                                                             Number of                                       Number of        Avg LOS      Average cost
                                                               cases          Avg LOS      Average cost        cases
--------------------------------------------------------------------------------------------------------------------------------------------------------
T79.4XXA.................  Traumatic shock, initial                1,187            16.1         $79,218             553             6.5         $48,880
                            encounter.
--------------------------------------------------------------------------------------------------------------------------------------------------------

    As reflected in the table, the claims data from the September 2024 
update of the FY 2024 MedPAR file indicate that T79.4XXA was reported 
as a secondary diagnosis in 1,187 cases where the patient was 
discharged alive. These cases had average costs of $79,218 and an 
average length of stay of 16.1 days. In the 553 cases where T79.4XXA 
was reported as a secondary diagnosis and the patient expired, the 
average costs were considerably lower ($48,880 versus $79,218) and the 
average length of stay was much shorter (6.5 days versus 16.1 days).
    As the data reflect that cases reporting traumatic shock, initial 
encounter, as a secondary diagnosis for patients that are discharged 
alive require significantly more hospital resources than the patients 
who expire, we are proposing to add code T79.4XXA to the list found in 
Appendix C--Part 2: Codes That are Major CC Only if Patient Discharged 
Alive. Under this proposal, when reported as a secondary diagnosis, 
T79.4XXA (Traumatic shock, initial encounter) would be assigned as an 
MCC only when the patient is discharged alive.
    We are proposing changes to the ICD-10 MS-DRGs Version 43 CC 
Exclusion List based on the diagnosis code updates as discussed in 
section II.C.13. of the preamble of this FY 2026 IPPS/LTCH PPS proposed 
rule. Therefore, we have developed Table 6G.1.--Proposed Secondary 
Diagnosis Order Additions to the CC Exclusions List--FY 2026; Table 
6G.2.--Proposed Principal Diagnosis Order Additions to the CC 
Exclusions List--FY 2026; Table 6H.1.--Proposed Secondary Diagnosis 
Order Deletions to the CC Exclusions List--FY 2026; and Table 6H.2.--
Proposed Principal Diagnosis Order Deletions to the CC Exclusions 
List--FY 2026. For Table 6G.1, each secondary diagnosis code proposed 
for addition to the CC Exclusion List is shown with an asterisk and the 
principal diagnoses proposed to exclude the secondary diagnosis code 
are provided in the indented column immediately following it. For Table 
6G.2, each of the principal diagnosis codes for which there is a CC 
exclusion is shown with an asterisk and the conditions proposed for 
addition to the CC Exclusion List that will not count as a CC are 
provided in an indented column immediately following the affected 
principal diagnosis. For Table 6H.1, each secondary diagnosis code 
proposed for deletion from the CC Exclusion List is shown with an 
asterisk followed by the principal diagnosis codes that currently 
exclude it. For Table 6H.2, each of the principal diagnosis codes is 
shown with an asterisk and the proposed deletions to the CC Exclusions 
List are provided in an indented column immediately following the 
affected principal diagnosis. Tables 6G.1., 6G.2., 6H.1., and 6H.2. 
associated with this FY 2026 IPPS/LTCH PPS proposed rule are available 
on the CMS website at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html.
9. Proposed Changes to the ICD-10-CM and ICD-10-PCS Coding Systems
    To identify new, revised, and deleted diagnosis and procedure 
codes, for FY 2026, we have developed Table 6A.--New Diagnosis Codes, 
Table 6B.--New Procedure Codes, Table 6C.--Invalid Diagnosis Codes, 
Table 6D.--Invalid Procedure Codes, Table 6E.--Revised Diagnosis Code 
Titles, and Table 6F.--Revised Procedure Code Titles for this FY 2026 
IPPS/LTCH PPS proposed rule.
    These tables are not published in the Addendum to this FY 2026 
IPPS/LTCH PPS proposed rule, but are available on the CMS website at: 
https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html as described in section VI. of the 
Addendum to this FY 2026 IPPS/LTCH PPS proposed rule. As discussed in 
section II.C.11. of the preamble of this FY 2026 IPPS/LTCH PPS proposed 
rule, the code titles are adopted as part of the ICD-10 Coordination 
and Maintenance Committee meeting process. Therefore, although we 
publish the code titles in the IPPS proposed and final rules, they are 
not subject to comment in the proposed or final rules.
    We are proposing the MDC and MS-DRG assignments for the new 
diagnosis codes and procedure codes as set forth in Table 6A.--New 
Diagnosis Codes and Table 6B.--New Procedure Codes. In

[[Page 18068]]

addition, the proposed severity level designations for the new 
diagnosis codes are set forth in Table 6A. and the proposed O.R. status 
for the new procedure codes are set forth in Table 6B. Consistent with 
our established process, we examined the MS-DRG assignment and the 
attributes (severity level and O.R. status) of the predecessor 
diagnosis or procedure code, as applicable, to inform our proposed 
assignments and designations.
    Specifically, we review the predecessor code and MS-DRG assignment 
most closely associated with the new diagnosis or procedure code, and 
in the absence of claims data, we consider other factors that may be 
relevant to the MS-DRG assignment, including the severity of illness, 
treatment difficulty, complexity of service and the resources utilized 
in the diagnosis and/or treatment of the condition. We note that this 
process does not automatically result in the new diagnosis or procedure 
code being proposed for assignment to the same MS-DRG or to have the 
same designation as the predecessor code.
    We are making available on the CMS website at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html 
the following tables associated with this FY 2026 IPPS/LTCH PPS 
proposed rule:
     Table 6A.--New Diagnosis Codes--FY 2026;
     Table 6B.--New Procedure Codes--FY 2026;
     Table 6C.--Invalid Diagnosis Codes--FY 2026;
     Table 6D.--Invalid Procedure Codes--FY 2026;
     Table 6E.--Revised Diagnosis Code Titles--FY 2026;
     Table 6F.--Revised Procedure Code Titles--FY 2026;
     Table 6G.1.--Proposed Secondary Diagnosis Order Additions 
to the CC Exclusions List--FY 2026;
     Table 6G.2.--Proposed Principal Diagnosis Order Additions 
to the CC Exclusions List--FY 2026;
     Table 6H.1.--Proposed Secondary Diagnosis Order Deletions 
to the CC Exclusions List--FY 2026;
     Table 6H.2.--Proposed Principal Diagnosis Order Deletions 
to the CC Exclusions List--FY 2026;
     Table 6I.1.--Proposed Additions to the MCC List--FY 2026;
     Table 6I.2.--Proposed Deletions to the MCC List--FY 2026;
     Table 6J.1.--Proposed Additions to the CC List--FY 2026; 
and
     Table 6J.2.--Proposed Deletions to the CC List--FY 2026.
10. Proposed Changes to the Surgical Hierarchies
    Some inpatient stays entail multiple surgical procedures, each one 
of which, occurring by itself, could result in assignment of the case 
to a different MS-DRG within the MDC to which the principal diagnosis 
is assigned. Therefore, it is necessary to have a decision rule within 
the GROUPER by which these cases are assigned to a single MS-DRG. The 
surgical hierarchy, an ordering of surgical classes from most resource-
intensive to least resource-intensive, performs that function. 
Application of this hierarchy ensures that cases involving multiple 
surgical procedures are assigned to the MS-DRG associated with the most 
resource-intensive surgical class.
    A surgical class can be composed of one or more MS-DRGs. For 
example, in MDC 11, the surgical class ``kidney transplant'' consists 
of a single MS-DRG (MS-DRG 652) and the class ``major bladder 
procedures'' consists of three MS-DRGs (MS-DRGs 653, 654, and 655).
    Consequently, in many cases, the surgical hierarchy has an impact 
on more than one MS-DRG. The methodology for determining the most 
resource-intensive surgical class involves weighting the average 
resources for each MS-DRG by frequency to determine the weighted 
average resources for each surgical class. For example, assume surgical 
class A includes MS-DRGs 001 and 002 and surgical class B includes MS-
DRGs 003, 004, and 005. Assume also that the average costs of MS-DRG 
001 are higher than that of MS-DRG 003, but the average costs of MS-
DRGs 004 and 005 are higher than the average costs of MS-DRG 002. To 
determine whether surgical class A should be higher or lower than 
surgical class B in the surgical hierarchy, we would weigh the average 
costs of each MS-DRG in the class by frequency (that is, by the number 
of cases in the MS-DRG) to determine average resource consumption for 
the surgical class. The surgical classes would then be ordered from the 
class with the highest average resource utilization to that with the 
lowest, with the exception of ``other O.R. procedures'' as discussed in 
this FY 2026 IPPS/LTCH PPS proposed rule.
    This methodology may occasionally result in assignment of a case 
involving multiple procedures to the lower-weighted MS-DRG (in the 
highest, most resource-intensive surgical class) of the available 
alternatives. However, given that the logic underlying the surgical 
hierarchy provides that the GROUPER search for the procedure in the 
most resource-intensive surgical class, in cases involving multiple 
procedures, this result is sometimes unavoidable.
    We note that, notwithstanding the foregoing discussion, there are a 
few instances when a surgical class with a lower average cost is 
ordered above a surgical class with a higher average cost. For example, 
the ``other O.R. procedures'' surgical class is uniformly ordered last 
in the surgical hierarchy of each MDC in which it occurs, regardless of 
the fact that the average costs for the MS-DRG or MS-DRGs in that 
surgical class may be higher than those for other surgical classes in 
the MDC. The ``other O.R. procedures'' class is a group of procedures 
that are only infrequently related to the diagnoses in the MDC but are 
still occasionally performed on patients with cases assigned to the MDC 
with these diagnoses. Therefore, assignment to these surgical classes 
should only occur if no other surgical class more closely related to 
the diagnoses in the MDC is appropriate.
    A second example occurs when the difference between the average 
costs for two surgical classes is very small. We have found that small 
differences generally do not warrant reordering of the hierarchy 
because, as a result of reassigning cases on the basis of the hierarchy 
change, the average costs are likely to shift such that the higher-
ordered surgical class has lower average costs than the class ordered 
below it.
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69100), we stated 
our intent to consider if the development of evaluation criteria would 
be useful for future proposed modifications to the surgical hierarchy 
for MS-DRGs that have meaningful changes to the clinical logic. We are 
continuing to examine what factors should be taken into account as we 
consider any future proposals. We welcome feedback and other 
suggestions to be submitted via the Medicare Electronic Application 
Request Information SystemTM (MEARISTM) at 
https://mearis.cms.gov/public/home by October 20, 2025.
    Based on the changes that we are proposing to make for FY 2026, as 
discussed in section II.C. of the preamble of this FY 2026 IPPS/LTCH 
PPS proposed rule, our proposal for Appendix D MS-DRG Surgical 
Hierarchy by MDC and MS-DRG of the proposed ICD-10 MS-DRG Definitions 
Manual Version 43 to modify the existing surgical hierarchy in MDC 05 
and MDC 08 for FY 2026 is illustrated in the following tables. We note 
that because the current methodology involves weighing the average 
costs of each MS-DRG in the surgical class by

[[Page 18069]]

frequency (that is, by the number of cases in the MS-DRG) to determine 
average resource consumption for the surgical class, that the surgical 
hierarchy of other MS-DRGs in the MDC may need to be adjusted based on 
the MS-DRG classification changes that are proposed to ensure that the 
average weighted cost for each base MS-DRG in each MDC are 
monotonically decreasing. We further note that the proposed Version 43 
surgical hierarchy as illustrated in the following tables may be 
subject to further modifications based on the finalized changes to the 
MS-DRG classifications for FY 2026.

----------------------------------------------------------------------------------------------------------------
                                                                                      Current        Proposed
                                                                                    version 42      version 43
                                                                                     surgical        surgical
                                                                                     hierarchy       hierarchy
----------------------------------------------------------------------------------------------------------------
                            MDC 05 (Diseases and Disorders of the Circulatory System)
----------------------------------------------------------------------------------------------------------------
Proposed New MS-DRG 209....................  Complex Aortic Arch Procedures.....             N/A               1
MS-DRG 212.................................  Concomitant Aortic and Mitral Valve               2               2
                                              Procedures.
MS-DRG 215.................................  Other Heart Assist System Implant..               1               3
MS-DRGs 216-218............................  Cardiac Valve and Other Major                     3               4
                                              Cardiothoracic Procedures with
                                              Cardiac Catheterization.
MS-DRGs 231-232............................  Coronary Bypass with PTCA..........               4               5
MS-DRG 275.................................  Cardiac Defibrillator Implant with                6               6
                                              Cardiac Catheterization.
MS-DRG 317.................................  Concomitant Left Atrial Appendage                 5               7
                                              Closure and Cardiac Ablation.
MS-DRGs 219-221............................  Cardiac Valve and Other Major                     3               8
                                              Cardiothoracic Procedures without
                                              Cardiac Catheterization.
MS-DRGs 233-234............................  Coronary Bypass with Cardiac                      4               9
                                              Catheterization or Open Ablation.
Proposed New MS-DRG 213....................  Endovascular Abdominal Aorta with               N/A              10
                                              Iliac Branch Procedures.
MS-DRGs 266-267............................  Endovascular Cardiac Valve                        7              11
                                              Replacement and Supplement
                                              Procedures.
MS-DRGs 276-277............................  Cardiac Defibrillator Implant......               6              12
MS-DRGs 268-269............................  Aortic and Heart Assist Procedures                8              13
                                              Except Pulsation Balloon.
MS-DRGs 235-236............................  Coronary Bypass without Cardiac                   4              14
                                              Catheterization.
MS-DRG 245.................................  AICD Generator Procedures..........              14              15
MS-DRGs 270-272............................  Other Major Cardiovascular                       11              16
                                              Procedures.
MS-DRGs 228-229............................  Other Cardiothoracic Procedures....               9              17
MS-DRGs 319-320............................  Other Endovascular Cardiac Valve                 10              18
                                              Procedures.
MS-DRGs 278-279............................  Ultrasound Accelerated and Other                 20              19
                                              Thrombolysis of Peripheral
                                              Vascular Structures.
MS-DRGs 323-324............................  Coronary Intravascular Lithotripsy               17              20
                                              with Intraluminal Device.
MS-DRGs 239-241............................  Amputation for Circulatory System                12              21
                                              Disorders Except Upper Limb and
                                              Toe.
MS-DRG 265.................................  AICD Lead Procedures...............              15              22
MS-DRGs 273-274............................  Percutaneous and Other Intracardiac              16              23
                                              Procedures.
MS-DRG 325.................................  Coronary Intravascular Lithotripsy               17              24
                                              without Intraluminal Device.
MS-DRG 263.................................  Vein Ligation and Stripping........              25              25
MS-DRGs 252-254............................  Other Vascular Procedures..........              21              26
Proposed New MS-DRGs 359-360...............  Percutaneous Coronary Atherectomy               N/A              27
                                              with Intraluminal Device.
MS-DRGs 242-244............................  Permanent Cardiac Pacemaker Implant              13              28
MS-DRGs 260-262............................  Cardiac Pacemaker Revision Except                24              29
                                              Device Replacement.
Proposed New MS-DRG 318....................  Percutaneous Coronary Atherectomy               N/A              30
                                              without Intraluminal Device.
MS-DRGs 321-322............................  Percutaneous Cardiovascular                      18              31
                                              Procedures with Intraluminal
                                              Device.
MS-DRGs 258-259............................  Cardiac Pacemaker Device                         23              32
                                              Replacement.
MS-DRGs 255-257............................  Upper Limb and Toe Amputation for                22              33
                                              Circulatory System Disorders.
MS-DRGs 250-251............................  Percutaneous Cardiovascular                      19              34
                                              Procedures without Intraluminal
                                              Device.
MS-DRG 264.................................  Other Circulatory System O.R.                    26              35
                                              Procedures.
----------------------------------------------------------------------------------------------------------------
               MDC 08 (Diseases and Disorders of the Musculoskeletal System and Connective Tissue)
----------------------------------------------------------------------------------------------------------------
MS-DRGs 426-428............................  Multiple Level Combined Anterior                  1               1
                                              and Posterior Spinal Fusion Except
                                              Cervical.
MS-DRG 402.................................  Single Level Combined Anterior and                2               5
                                              Posterior Spinal Fusion Except
                                              Cervical.
MS-DRGs 429-430............................  Combined Anterior and Posterior                   3               2
                                              Cervical Spinal Fusion.
MS-DRGs 456-458............................  Spinal Fusion Except Cervical with                4               3
                                              Spinal Curvature, Malignancy,
                                              Infection or Extensive Fusions.
MS-DRGs 447-448............................  Multiple Level Spinal Fusion Except               5               4
                                              Cervical.
Proposed New MS-DRGs 403-404...............  Hip or Knee Procedures with                     N/A               6
                                              Principal Diagnosis of
                                              Periprosthetic Joint Infection.
MS-DRGs 450-451............................  Single Level Spinal Fusion Except                 6               7
                                              Cervical.
MS-DRGs 461-462............................  Bilateral or Multiple Major Joint                 7              10
                                              Procedures of Lower Extremity.
MS-DRGs 463-465............................  Wound Debridement and Skin Graft                  8               8
                                              Except Hand for Musculoskeletal
                                              and Connective Tissue Disorders.
MS-DRGs 466-468............................  Revision of Hip or Knee Replacement               9               9
MS-DRGs 521-522............................  Hip Replacement with Principal                   10              18
                                              Diagnosis of Hip Fracture.
MS-DRGs 469-470............................  Major Hip and Knee Joint                         11              21
                                              Replacement or Reattachment of
                                              Lower Extremity or Total Ankle
                                              Replacement.
MS-DRGs 471-473............................  Cervical Spinal Fusion.............              12              11

[[Page 18070]]

 
MS-DRGs 474-476............................  Amputation for Musculoskeletal                   13              12
                                              System and Connective Tissue
                                              Disorders.
MS-DRGs 477-479............................  Biopsies of Musculoskeletal System               14              14
                                              and Connective Tissue.
MS-DRGs 480-482............................  Hip and Femur Procedures Except                  15              19
                                              Major Joint.
MS-DRG 483.................................  Major Joint or Limb Reattachment                 16              13
                                              Procedures of Upper Extremities.
MS-DRGs 485-487............................  Knee Procedures with Principal                   17              17
                                              Diagnosis of Infection.
MS-DRGs 488-489............................  Knee Procedures without Principal                17              27
                                              Diagnosis of Infection.
MS-DRGs 518-520............................  Back and Neck Procedures Except                  18              20
                                              Spinal Fusion or Disc Device or
                                              Neurostimulator.
MS-DRGs 492-494............................  Lower Extremity and Humerus                      19              15
                                              Procedures Except Hip, Foot and
                                              Femur.
MS-DRGs 495-497............................  Local Excision and Removal of                    20              25
                                              Internal Fixation Devices Except
                                              Hip and Femur.
MS-DRGs 498-499............................  Local Excision and Removal of                    21              16
                                              Internal Fixation Devices of Hip
                                              and Femur.
MS-DRGs 500-502............................  Soft Tissue Procedures.............              22              24
MS-DRGs 503-505............................  Foot Procedures....................              23              23
MS-DRG 506.................................  Major Thumb or Joint Procedures....              24              29
MS-DRGs 507-508............................  Major Shoulder or Elbow Joint                    25              26
                                              Procedures.
MS-DRGs 510-512............................  Shoulder, Elbow or Forearm                       26              22
                                              Procedures, Except Major Joint
                                              Procedures.
MS-DRGs 513-514............................  Hand or Wrist Procedures, Except                 27              28
                                              Major Thumb or Joint Procedures.
MS-DRGs 515-517............................  Other Musculoskeletal System and                 28              30
                                              Connective Tissue O.R. Procedures.
----------------------------------------------------------------------------------------------------------------

    For issues pertaining to the surgical hierarchy, as with other MS-
DRG related requests, we encourage interested parties to submit 
comments no later than October 20, 2025, via MEARISTM at 
https://mearis.cms.gov/public/home, so that they can be considered for 
possible inclusion in the annual proposed rule.
11. Maintenance of the ICD-10-CM and ICD-10-PCS Coding Systems
    In September 1985, the ICD-9-CM Coordination and Maintenance 
Committee was formed. This is a Federal interdepartmental committee, 
co-chaired by the Centers for Disease Control and Prevention's (CDC) 
National Center for Health Statistics (NCHS) and CMS, charged with 
maintaining and updating the ICD-9-CM system. The final update to ICD-
9-CM codes was made on October 1, 2013. Thereafter, the name of the 
Committee was changed to the ICD-10 Coordination and Maintenance 
Committee, effective with the March 19-20, 2014, meeting. The ICD-10 
Coordination and Maintenance Committee addresses updates to the ICD-10-
CM and ICD-10-PCS coding systems. The Committee is jointly responsible 
for approving coding changes, and developing errata, addenda, and other 
modifications to the coding systems to reflect newly developed 
procedures and technologies and newly identified diseases. The 
Committee is also responsible for promoting the use of Federal and non-
Federal educational programs and other communication techniques with a 
view toward standardizing coding applications and upgrading the quality 
of the classification system.
    The official list of ICD-9-CM diagnosis and procedure codes by 
fiscal year can be found on the CMS website at: https://www.cms.gov/medicare/coding-billing/icd-10-codes/icd-9-cm-diagnosis-procedure-codes-abbreviated-and-full-code-titles.
    The official list of ICD-10-CM and ICD-10-PCS codes can be found on 
the CMS website at: https://www.cms.gov/Medicare/Coding/ICD10/index.html.
    The NCHS has lead responsibility for the ICD-10-CM and ICD-9-CM 
diagnosis codes included in the Tabular List and Alphabetic Index for 
Diseases, while CMS has lead responsibility for the ICD-10-PCS and ICD-
9-CM procedure codes included in the Tabular List and Alphabetic Index 
for Procedures.
    The Committee encourages participation in the previously mentioned 
process by health-related organizations. In this regard, the Committee 
holds public meetings for discussion of educational issues and proposed 
coding changes. These meetings provide an opportunity for 
representatives of recognized organizations in the coding field, such 
as the American Health Information Management Association (AHIMA), the 
American Hospital Association (AHA), and various physician specialty 
groups, as well as individual physicians, health information management 
professionals, and other members of the public, to contribute ideas on 
coding matters. Members of the public may submit comments on the 
proposed procedure code topics to CMS at: 
[email protected] and may submit comments on the 
proposed diagnosis code topics to the CDC/NCHS at: [email protected]. 
After considering the opinions expressed during the public meetings and 
in writing, the Committee formulates recommendations, which then must 
be approved by the agencies.
    The Committee presented proposals for coding changes for 
implementation in FY 2026 at a public meeting held on September 10-11, 
2024, and finalized the coding changes after consideration of comments 
received at the meetings and in writing by November 15, 2024.
    In lieu of holding its Spring 2025 meeting, the Committee solicited 
comments on the Spring 2025 ICD-10-PCS procedure code topics. The 
deadline for submitting comments on these code proposals is April 18, 
2025. Any new diagnosis and procedure codes for which there is 
consensus of public support, and for which complete tabular and 
indexing changes would be made by June 2025 would be included in the 
October 1, 2025, update to the ICD-10-CM diagnosis and ICD-10-PCS 
procedure code sets. As discussed in earlier sections of the preamble 
of this FY 2026 IPPS/LTCH PPS proposed rule, there are new, revised, 
and deleted ICD-10-CM diagnosis codes and ICD-10-PCS procedure codes 
that are captured in Table 6A.--New Diagnosis Codes, Table 6B.--New 
Procedure Codes, Table 6C.--Invalid Diagnosis Codes, Table 6D.--Invalid 
Procedure Codes, Table 6E.--Revised Diagnosis Code Titles, and Table 
6F.--Revised Procedure Code

[[Page 18071]]

Titles for this FY 2026 IPPS/LTCH PPS proposed rule, which are 
available on the CMS website at: https://www.cms.gov/medicare/medicare-fee-for-service-payment/acuteinpatientpps.
    The code titles are adopted as part of the ICD-10 Coordination and 
Maintenance Committee process. Therefore, although we make the code 
titles available for the IPPS proposed rule, they are not subject to 
comment in the proposed rule. Because of the length of these tables, 
they are not published in the Addendum to the proposed rule. Rather, 
they are available on the CMS website as discussed in section VI. of 
the Addendum to the proposed rule.
    Recordings for the virtual meeting discussions of the procedure 
codes at the Committee's September 10-11, 2024, meeting and the 
materials for the Spring 2025 ICD-10-PCS procedure code topics can be 
obtained from the CMS website at: https://www.cms.gov/Medicare/Coding/ICD10/C-and-M-Meeting-Materials. The materials for the topics relating 
to diagnosis codes discussed at the September 10-11, 2024, meeting can 
be found at: https://www.cdc.gov/nchs/icd/icd-10-maintenance/meetings.html. These websites also provide detailed information about 
the Committee, including information on requesting a new code, 
participating in a Committee meeting, timeline requirements, submitting 
comments, and meeting dates.
    We encourage commenters to submit questions and comments on coding 
issues involving diagnosis codes via email to: [email protected].
    Questions and comments concerning the procedure codes should be 
submitted via email to: [email protected].
    CMS implemented 50 new procedure codes including cardiac 
stereotactic body radiotherapy (SBRT), transplantation of the larynx, 
repositioning of long bones using a ring external fixation device with 
automated strut adjustment, supplementing the right atrium with 
heterotopic bioprosthetic valve(s), the administration of emapalumab-
Izsg anti-IFNy monoclonal antibody, and the administration of 
tarlatamab-dlle antineoplastic into the ICD-10-PCS classification 
effective with discharges on and after April 1, 2025. The procedure 
codes are as follows:

----------------------------------------------------------------------------------------------------------------
         Procedure code                  Description                O.R.                MDC           MS-DRG
----------------------------------------------------------------------------------------------------------------
D228DZZ **......................  Stereotactic other        N...................              05             317
                                   photon radiosurgery of
                                   conduction mechanism.
0B118D6 *.......................  Bypass trachea to         N...................  ..............  ..............
                                   esophagus with
                                   intraluminal device,
                                   via natural or
                                   artificial opening
                                   endoscopic.
0CYS0Z0.........................  Transplantation of        Y...................              03         143-145
                                   larynx, allogeneic,                                        04         166-168
                                   open approach.                                             21         907-909
                                                                                              24         957-959
0CYS0Z1.........................  Transplantation of        Y...................              03         143-145
                                   larynx, syngeneic, open                                    04         166-168
                                   approach.                                                  21         907-909
                                                                                              24         957-959
0DX80Z7.........................  Transfer small intestine  Y...................              13             748
                                   to vagina, open                                            21         907-909
                                   approach.                                                  24         957-959
0DX84Z7.........................  Transfer small intestine  Y...................              13             748
                                   to vagina, percutaneous                                    21         907-909
                                   endoscopic approach.                                       24         957-959
0TT00Z0.........................  Resection of right        Y...................              11         656-661
                                   kidney, open approach,                                     21         907-909
                                   allogeneic.                                                24         957-959
0TT00Z1.........................  Resection of right        Y...................              11         656-661
                                   kidney, open approach,                                     21         907-909
                                   syngeneic.                                                 24         957-959
0TT00Z2.........................  Resection of right        Y...................              11         656-661
                                   kidney, open approach,                                     21         907-909
                                   zooplastic.                                                24         957-959
0TT10Z0.........................  Resection of left         Y...................              11         656-661
                                   kidney, open approach,                                     21         907-909
                                   allogeneic.                                                24         957-959
0TT10Z1.........................  Resection of left         Y...................              11         656-661
                                   kidney, open approach,                                     21         907-909
                                   syngeneic.                                                 24         957-959
0TT10Z2.........................  Resection of left         Y...................              11         656-661
                                   kidney, open approach,                                     21         907-909
                                   zooplastic.                                                24         957-959
0U7C7DJ *.......................  Dilation of cervix with   N...................  ..............  ..............
                                   intraluminal device,
                                   temporary, via natural
                                   or artificial opening.
10D10ZZ.........................  Extraction of products    Y...................              14             770
                                   of conception,                                                        796-798
                                   retained, open approach.
3E0U0GC *.......................  Introduction of other     N...................  ..............  ..............
                                   therapeutic substance
                                   into joints, open
                                   approach.
X2KA30A.........................  Bypass left atrium using  Y...................              05         270-272
                                   conduit through                                            21         907-909
                                   coronary sinus to right
                                   atrium, percutaneous
                                   approach, new
                                   technology group 10.
X2U93YA.........................  Supplement right atrium   Y...................              05         266-267
                                   with intraluminal
                                   device, heterotopic
                                   bioprosthetic valve(s),
                                   percutaneous approach,
                                   new technology group 10.

[[Page 18072]]

 
XNS40GA.........................  Reposition right humeral  Y...................              08         492-494
                                   shaft with ring                                            21         907-909
                                   external fixation                                          24         957-959
                                   device with automated
                                   strut adjustment, open
                                   approach, new
                                   technology group 10.
XNS43GA.........................  Reposition right humeral  Y...................              08         492-494
                                   shaft with ring                                            21         907-909
                                   external fixation                                          24         957-959
                                   device with automated
                                   strut adjustment,
                                   percutaneous approach,
                                   new technology group 10.
XNS50GA.........................  Reposition left humeral   Y...................              08         492-494
                                   shaft with ring                                            21         907-909
                                   external fixation                                          24         957-959
                                   device with automated
                                   strut adjustment, open
                                   approach, new
                                   technology group 10.
XNS53GA.........................  Reposition left humeral   Y...................              08         492-494
                                   shaft with ring                                            21         907-909
                                   external fixation                                          24         957-959
                                   device with automated
                                   strut adjustment,
                                   percutaneous approach,
                                   new technology group 10.
XNS60GA.........................  Reposition right radius   Y...................              08         510-512
                                   with ring external                                         21         907-909
                                   fixation device with                                       24         957-959
                                   automated strut
                                   adjustment, open
                                   approach, new
                                   technology group 10.
XNS63GA.........................  Reposition right radius   Y...................              08         510-512
                                   with ring external                                         21         907-909
                                   fixation device with                                       24         957-959
                                   automated strut
                                   adjustment,
                                   percutaneous approach,
                                   new technology group 10.
XNS70GA.........................  Reposition left radius    Y...................              08         510-512
                                   with ring external                                         21         907-909
                                   fixation device with                                       24         957-959
                                   automated strut
                                   adjustment, open
                                   approach, new
                                   technology group 10.
XNS73GA.........................  Reposition left radius    Y...................              08         510-512
                                   with ring external                                         21         907-909
                                   fixation device with                                       24         957-959
                                   automated strut
                                   adjustment,
                                   percutaneous approach,
                                   new technology group 10.
XNS80GA.........................  Reposition right ulna     Y...................              08         510-512
                                   with ring external                                         21         907-909
                                   fixation device with                                       24         957-959
                                   automated strut
                                   adjustment, open
                                   approach, new
                                   technology group 10.
XNS83GA.........................  Reposition right ulna     Y...................              08         510-512
                                   with ring external                                         21         907-909
                                   fixation device with                                       24         957-959
                                   automated strut
                                   adjustment,
                                   percutaneous approach,
                                   new technology group 10.
XNS90GA.........................  Reposition left ulna      Y...................              08         510-512
                                   with ring external                                         21         907-909
                                   fixation device with                                       24         957-959
                                   automated strut
                                   adjustment, open
                                   approach, new
                                   technology group 10.
XNS93GA.........................  Reposition left ulna      Y...................              08         510-512
                                   with ring external                                         21         907-909
                                   fixation device with                                       24         957-959
                                   automated strut
                                   adjustment,
                                   percutaneous approach,
                                   new technology group 10.
XNSA0GA.........................  Reposition right upper    Y...................              08         480-482
                                   femur with ring                                            21         907-909
                                   external fixation                                          24             956
                                   device with automated
                                   strut adjustment, open
                                   approach, new
                                   technology group 10.
XNSA3GA.........................  Reposition right upper    Y...................              08         480-482
                                   femur with ring                                            21         907-909
                                   external fixation                                          24             956
                                   device with automated
                                   strut adjustment,
                                   percutaneous approach,
                                   new technology group 10.
XNSB0GA.........................  Reposition left upper     Y...................              08         480-482
                                   femur with ring                                            21         907-909
                                   external fixation                                          24             956
                                   device with automated
                                   strut adjustment, open
                                   approach, new
                                   technology group 10.
XNSB3GA.........................  Reposition left upper     Y...................              08         480-482
                                   femur with ring                                            21         907-909
                                   external fixation                                          24             956
                                   device with automated
                                   strut adjustment,
                                   percutaneous approach,
                                   new technology group 10.
XNSC0GA.........................  Reposition right lower    Y...................              08         480-482
                                   femur with ring                                            21         907-909
                                   external fixation                                          24             956
                                   device with automated
                                   strut adjustment, open
                                   approach, new
                                   technology group 10.
XNSC3GA.........................  Reposition right lower    Y...................              08         480-482
                                   femur with ring                                            21         907-909
                                   external fixation                                          24             956
                                   device with automated
                                   strut adjustment,
                                   percutaneous approach,
                                   new technology group 10.
XNSD0GA.........................  Reposition left lower     Y...................              08         480-482
                                   femur with ring                                            21         907-909
                                   external fixation                                          24             956
                                   device with automated
                                   strut adjustment, open
                                   approach, new
                                   technology group 10.
XNSD3GA.........................  Reposition left lower     Y...................              08         480-482
                                   femur with ring                                            21         907-909
                                   external fixation                                          24             956
                                   device with automated
                                   strut adjustment,
                                   percutaneous approach,
                                   new technology group 10.
XNSE0GA.........................  Reposition right femoral  Y...................              08         480-482
                                   shaft with ring                                            21         907-909
                                   external fixation                                          24             956
                                   device with automated
                                   strut adjustment, open
                                   approach, new
                                   technology group 10.
XNSE3GA.........................  Reposition right femoral  Y...................              08         480-482
                                   shaft with ring                                            21         907-909
                                   external fixation                                          24             956
                                   device with automated
                                   strut adjustment,
                                   percutaneous approach,
                                   new technology group 10.
XNSF0GA.........................  Reposition left femoral   Y...................              08         480-482
                                   shaft with ring                                            21         907-909
                                   external fixation                                          24             956
                                   device with automated
                                   strut adjustment, open
                                   approach, new
                                   technology group 10.
XNSF3GA.........................  Reposition left femoral   Y...................              08         480-482
                                   shaft with ring                                            21         907-909
                                   external fixation                                          24             956
                                   device with automated
                                   strut adjustment,
                                   percutaneous approach,
                                   new technology group 10.

[[Page 18073]]

 
XNSG0GA.........................  Reposition right tibia    Y...................              08         492-494
                                   with ring external                                         21         907-909
                                   fixation device with                                       24         957-959
                                   automated strut
                                   adjustment, open
                                   approach, new
                                   technology group 10.
XNSG3GA.........................  Reposition right tibia    Y...................              08         492-494
                                   with ring external                                         21         907-909
                                   fixation device with                                       24         957-959
                                   automated strut
                                   adjustment,
                                   percutaneous approach,
                                   new technology group 10.
XNSH0GA.........................  Reposition left tibia     Y...................              08         492-494
                                   with ring external                                         21         907-909
                                   fixation device with                                       24         957-959
                                   automated strut
                                   adjustment, open
                                   approach, new
                                   technology group 10.
XNSH3GA.........................  Reposition left tibia     Y...................              08         492-494
                                   with ring external                                         21         907-909
                                   fixation device with                                       24         957-959
                                   automated strut
                                   adjustment,
                                   percutaneous approach,
                                   new technology group 10.
XW033MA *.......................  Introduction of           N...................  ..............  ..............
                                   emapalumab-lzsg anti-
                                   IFNy monoclonal
                                   antibody into
                                   peripheral vein,
                                   percutaneous approach,
                                   new technology group 10.
XW033NA *.......................  Introduction of           N...................  ..............  ..............
                                   tarlatamab-dlle
                                   antineoplastic into
                                   peripheral vein,
                                   percutaneous approach,
                                   new technology group 10.
XW043MA *.......................  Introduction of           N...................  ..............  ..............
                                   emapalumab-lzsg anti-
                                   IFNy monoclonal
                                   antibody into central
                                   vein, percutaneous
                                   approach, new
                                   technology group 10.
XW043NA *.......................  Introduction of           N...................  ..............  ..............
                                   tarlatamab-dlle
                                   antineoplastic into
                                   central vein,
                                   percutaneous approach,
                                   new technology group 10.
XXE5X5A *.......................  Measurement of immune     N...................  ..............  ..............
                                   response, whole blood
                                   cellular assessment via
                                   microfluidic
                                   deformability, new
                                   technology group 10.
----------------------------------------------------------------------------------------------------------------
* As the procedure codes are designated as non-O.R. procedures, there is no assigned MDC or MS-DRG. The ICD-10
  MS-DRG assignment is dependent on the reported principal diagnosis, any secondary diagnoses defined as a
  complication or comorbidity (CC) or major complication or comorbidity (MCC), procedures or services performed,
  age, sex, and discharge status.
** Non-O.R. procedure affecting the MS-DRG assignment.

    The 50 procedure codes are also reflected in Table 6B.--New 
Procedure Codes, which is available on the CMS website at: https://
www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/
AcuteInpatientPPS. As with the other new procedure codes and MS-DRG 
assignments included in Table 6B in association with this FY 2026 IPPS/
LTCH PPS proposed rule, we are soliciting public comments on the most 
appropriate MDC, MS-DRG, and operating room status assignments for 
these codes for FY 2026, as well as any other options for the GROUPER 
logic.
    We note that Change Request (CR) 13917, Transmittal 12995, titled 
``April 2025 Update to the Medicare Severity-Diagnosis Related Group 
(MS-DRG) Grouper and Medicare Code Editor (MCE) Version 42.1'' was 
issued on December 12, 2024 (available on the CMS website at: https://www.cms.gov/medicare/regulations-guidance/transmittals/2024-transmittals/r12995cp) regarding the release of an updated version of 
the ICD-10 MS-DRG GROUPER and Medicare Code Editor software, Version 
42.1, effective with discharges on and after April 1, 2025, reflecting 
the new procedure codes. The updated software, along with the updated 
ICD-10 MS-DRG Version 42.1 Definitions Manual and the Definitions of 
Medicare Code Edits Version 42.1 manual is available at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/MS-DRG-Classifications-and-Software.
    In the September 7, 2001, final rule implementing the IPPS new 
technology add-on payments (66 FR 46906), we indicated we would attempt 
to include proposals for procedure codes that would describe new 
technology discussed and approved at the Spring meeting as part of the 
code revisions effective the following October.
    Section 503(a) of the Medicare Modernization Act (Pub. L. 108-173) 
included a requirement for updating diagnosis and procedure codes twice 
a year instead of a single update on October 1 of each year. This 
requirement was included as part of the amendments to the Act relating 
to recognition of new technology under the IPPS. Section 503(a) of 
Public Law 108-173 amended section 1886(d)(5)(K) of the Act by adding a 
clause (vii) which states that the Secretary shall provide for the 
addition of new diagnosis and procedure codes on April 1 of each year, 
but the addition of such codes shall not require the Secretary to 
adjust the payment (or diagnosis-related group classification) until 
the fiscal year that begins after such date. This requirement improves 
the recognition of new technologies under the IPPS by providing 
information on these new technologies at an earlier date. Data will be 
available 6 months earlier than would be possible with updates 
occurring only once a year on October 1.
    In the FY 2005 IPPS final rule, we implemented section 
1886(d)(5)(K)(vii) of the Act, as added by section 503(a) of Public Law 
108-173, by developing a mechanism for approving, in time for the April 
update, diagnosis and procedure code revisions needed to describe new 
technologies and medical services for purposes of the new technology 
add-on payment process. We also established the following process for 
making these determinations. Topics considered during the Fall ICD-10 
(previously ICD-9-CM) Coordination and Maintenance Committee meeting 
were considered for an April 1 update if a strong and convincing case 
was made by the requestor during the Committee's public meeting. The 
request needed to identify the reason why a new code was needed in 
April for purposes of the new technology process. Meeting participants 
and those reviewing the Committee meeting materials were provided the 
opportunity to comment on the expedited request. We refer the reader to 
the FY 2022 IPPS/LTCH PPS final rule (86 FR 44950) for further 
discussion of the implementation of this prior April 1 update for 
purposes of the new technology add-on payment process.
    However, as discussed in the FY 2022 IPPS/LTCH PPS final rule (86 
FR 44950 through 44956), we adopted an April 1 implementation date, in 
addition to the

[[Page 18074]]

annual October 1 update, beginning with April 1, 2022. We noted that 
the intent of this April 1 implementation date is to allow flexibility 
in the ICD-10 code update process. With this new April 1 update, CMS 
now uses the same process for consideration of all requests for an 
April 1 implementation date, including for purposes of the new 
technology add-on payment process (that is, the prior process for 
consideration of an April 1 implementation date only if a strong and 
convincing case was made by the requestor during the meeting no longer 
applies). We are continuing to use several aspects of our existing 
established process to implement new codes through the April 1 code 
update, which includes presenting proposals for April 1 consideration 
at the September ICD-10 Coordination and Maintenance Committee meeting, 
requesting public comments, reviewing the public comments, finalizing 
codes, and announcing the new codes with their assignments consistent 
with the new GROUPER release information. We note that under our 
established process, requestors indicate whether they are submitting 
their code request for consideration for an April 1 implementation date 
or an October 1 implementation date. The ICD-10 Coordination and 
Maintenance Committee makes efforts to accommodate the requested 
implementation date for each request submitted. However, the Committee 
determines which requests are to be presented for consideration for an 
April 1 implementation date or an October 1 implementation date. As 
discussed earlier in this section of the preamble of this FY 2026 IPPS/
LTCH PPS proposed rule, there were code proposals presented for an 
April 1, 2025, implementation at the September 10-11, 2024, Committee 
meetings. Following the receipt of public comments, the code proposals 
were approved and finalized, therefore, there were new codes 
implemented April 1, 2025.
    Consistent with the process we outlined for the April 1 
implementation date, we announced the new codes in November 2024 and 
provided the updated code files in December 2024. The NCHS provided the 
ICD-10-CM Official Guidelines for Coding and Reporting in January 2025. 
By February 27, 2025, we made available the updated Version 42.1 ICD-10 
MS-DRG GROUPER software and related materials on the CMS web page at: 
https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/MS-DRG-Classifications-and-Software.
    ICD-9-CM addendum and code title information are published on the 
CMS website at https://www.cms.gov/Medicare/Coding/ICD9ProviderDiagnosticCodes/addendum. ICD-10-CM and ICD-10-PCS addendum 
and code title information are published on the CMS website at https://www.cms.gov/Medicare/Coding/ICD10. CMS also sends electronic files 
containing all ICD-10-CM and ICD-10-PCS coding changes to its Medicare 
contractors for use in updating their systems and providing education 
to providers. Information on ICD-10-CM diagnosis codes, along with the 
Official ICD-10-CM Coding Guidelines, can be found on the CDC website 
at https://www.cdc.gov/nchs/icd/icd-10-cm/files.html. Additionally, 
information on new, revised, and deleted ICD-10-CM diagnosis and ICD-
10-PCS procedure codes is provided to the AHA for publication in the 
Coding Clinic for ICD-10. The AHA also distributes coding update 
information to publishers and software vendors.
    For FY 2025, there are currently 74,044 diagnosis codes and 78,986 
procedure codes. As displayed in Table 6A.--New Diagnosis Codes and in 
Table 6B.--New Procedure Codes associated with this FY 2026 IPPS/LTCH 
PPS proposed rule (and available on the CMS website at https://
www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/
AcuteInpatientPPS), there are 487 new diagnosis codes and 14 new 
procedure codes that have been finalized for FY 2026 at the time of the 
development of this FY 2026 IPPS/LTCH PPS proposed rule and 50 new 
procedure codes that were effective with discharges on and after April 
1, 2025. The code titles are adopted as part of the ICD-10 Coordination 
and Maintenance Committee process. Thus, although we publish the code 
titles in the IPPS proposed and final rules, they are not subject to 
comment in the proposed or final rules.
12. Replaced Devices Offered Without Cost or With a Credit
a. Background
    In the FY 2008 IPPS final rule with comment period (72 FR 47246 
through 47251), we discussed the topic of Medicare payment for devices 
that are replaced without cost or where credit for a replaced device is 
furnished to the hospital. We implemented a policy to reduce a 
hospital's IPPS payment for certain MS-DRGs where the implantation of a 
device that subsequently failed or was recalled determined the base MS-
DRG assignment. At that time, we specified that we would reduce a 
hospital's IPPS payment for those MS-DRGs where the hospital received a 
credit for a replaced device equal to 50 percent or more of the cost of 
the device.
    In the FY 2012 IPPS/LTCH PPS final rule (76 FR 51556 through 
51557), we clarified this policy to state that the policy applies if 
the hospital received a credit equal to 50 percent or more of the cost 
of the replacement device and issued instructions to hospitals 
accordingly.
b. Proposed Changes for FY 2026
    As discussed in section II.C.3. of the preamble of this FY 2026 
IPPS/LTCH PPS proposed rule, for FY 2026, under MDC 01, we are 
proposing to add procedure code combinations that describe the 
insertion of multiple or single array generators and the insertion of 
neurostimulator lead into the brain or cerebral ventricle and the 
procedure code combinations that describe the insertion of a 
neurostimulator generator into the skull and the insertion of a 
neurostimulator lead into the brain to a new ``intracranial 
neurostimulator implant'' logic list in MS-DRGs 020, 021, and 022. A 
subset of the procedures currently assigned to MS-DRGs 023 and 024 are 
being proposed for reassignment to MS-DRGs 020, 021, and 022. We are 
also proposing to revise the title of MS-DRG 020 from ``Intracranial 
Vascular Procedures with Principal Diagnosis Hemorrhage with MCC'' to 
``Intracranial Vascular Procedures with Principal Diagnosis Hemorrhage 
or Intracranial Neurostimulator Implant with MCC''; revise the title of 
MS-DRG 021 from ``Intracranial Vascular Procedures with Principal 
Diagnosis Hemorrhage with CC'' to ``Intracranial Vascular Procedures 
with Principal Diagnosis Hemorrhage or Intracranial Neurostimulator 
Implant with CC''; revise the title of MS-DRG 022 from ``Intracranial 
Vascular Procedures with Principal Diagnosis Hemorrhage without CC/
MCC'' to ``Intracranial Vascular Procedures with Principal Diagnosis 
Hemorrhage or Intracranial Neurostimulator Implant without CC/MCC''; 
revise the title of MS-DRG 023 from ``Craniotomy with Major Device 
Implant or Acute Complex CNS Principal Diagnosis with MCC or 
Chemotherapy Implant or Epilepsy with Neurostimulator'' to ``Craniotomy 
with Acute Complex CNS Principal Diagnosis with MCC or Antineoplastic 
Implant''; and revise the title of MS-DRG 024 from ``Craniotomy with 
Major Device Implant or Acute Complex CNS Principal

[[Page 18075]]

Diagnosis without MCC'' to ``Craniotomy with Acute Complex CNS 
Principal Diagnosis without MCC''.
    Additionally, as discussed in section II.C.4. of the preamble of 
this FY 2026 IPPS/LTCH PPS proposed rule, for FY 2026, under MDC 05, we 
are proposing new MS-DRG 209 (Complex Aortic Arch Procedures) and new 
MS-DRG 213 (Endovascular Abdominal Aorta with Iliac Branch Procedures). 
A subset of the procedures currently assigned to MS-DRGs 216, 217, 218, 
219, 220 and 221 are being proposed for assignment to proposed new MS-
DRG 209 and a subset of the procedures currently assigned to MS-DRGs 
268, 269, 270, 271, and 272 are being proposed for assignment to 
proposed new MS-DRG 213.
    As stated in the FY 2016 IPPS/LTCH PPS proposed rule (80 FR 24409), 
we generally map new MS-DRGs onto the list when they are formed from 
procedures previously assigned to MS-DRGs that are already on the list. 
Currently, MS-DRGs 023, 024, 216, 217, 218, 219, 220, 221, 268, 269, 
270, 271, and 272 are on the list of MS-DRGs subject to the policy for 
payment under the IPPS for replaced devices offered without cost or 
with a credit as shown in the following table. Therefore, we are 
proposing that if the applicable proposed MS-DRG changes are finalized, 
we also would add MS-DRGs 020, 021, and 022 and proposed new MS-DRGs 
209 and 213 to the list of MS-DRGs subject to the policy for payment 
under the IPPS for replaced devices offered without cost or with a 
credit and make conforming changes to the titles of MS-DRGs 023 and 024 
in the list of MS-DRGs subject to the policy as reflected in the 
following table. We are also proposing to continue to include the 
existing MS-DRGs currently subject to the policy as displayed in the 
following table.

----------------------------------------------------------------------------------------------------------------
                      MDC                           MS-DRG                        MS-DRG title
----------------------------------------------------------------------------------------------------------------
Pre-MDC.......................................             001  Heart Transplant or Implant of Heart Assist
                                                                 System with MCC.
Pre-MDC.......................................             002  Heart Transplant or Implant of Heart Assist
                                                                 System without MCC.
01............................................             020  Intracranial Vascular Procedures with Principal
                                                                 Diagnosis Hemorrhage or Intracranial
                                                                 Neurostimulator Implant with MCC.
01............................................             021  Intracranial Vascular Procedures with Principal
                                                                 Diagnosis Hemorrhage or Intracranial
                                                                 Neurostimulator Implant with CC.
01............................................             022  Intracranial Vascular Procedures with Principal
                                                                 Diagnosis Hemorrhage or Intracranial
                                                                 Neurostimulator Implant without CC/MCC.
01............................................             023  Craniotomy with Acute Complex CNS Principal
                                                                 Diagnosis with MCC or Antineoplastic Implant.
01............................................             024  Craniotomy with Acute Complex CNS Principal
                                                                 Diagnosis without MCC.
01............................................             025  Craniotomy and Endovascular Intracranial
                                                                 Procedures with MCC.
01............................................             026  Craniotomy and Endovascular Intracranial
                                                                 Procedures with CC.
01............................................             027  Craniotomy and Endovascular Intracranial
                                                                 Procedures without CC/MCC.
01............................................             040  Peripheral, Cranial Nerve and Other Nervous
                                                                 System Procedures with MCC.
01............................................             041  Peripheral, Cranial Nerve and Other Nervous
                                                                 System Procedures with CC or Peripheral
                                                                 Neurostimulator.
01............................................             042  Peripheral, Cranial Nerve and Other Nervous
                                                                 System Procedures without CC/MCC.
03............................................             140  Major Head and Neck Procedures with MCC.
03............................................             141  Major Head and Neck Procedures with CC.
03............................................             142  Major Head and Neck Procedures without CC/MCC.
05............................................             209  Complex Aortic Arch Procedures.
05............................................             213  Endovascular Abdominal Aorta with Iliac Branch
                                                                 Procedures.
05............................................             215  Other Heart Assist System Implant.
05............................................             216  Cardiac Valve and Other Major Cardiothoracic
                                                                 Procedure with Cardiac Catheterization with
                                                                 MCC.
05............................................             217  Cardiac Valve and Other Major Cardiothoracic
                                                                 Procedure with Cardiac Catheterization with CC.
05............................................             218  Cardiac Valve and Other Major Cardiothoracic
                                                                 Procedure with Cardiac Catheterization without
                                                                 CC/MCC.
05............................................             219  Cardiac Valve and Other Major Cardiothoracic
                                                                 Procedure without Cardiac Catheterization with
                                                                 MCC.
05............................................             220  Cardiac Valve and Other Major Cardiothoracic
                                                                 Procedure without Cardiac Catheterization with
                                                                 CC.
05............................................             221  Cardiac Valve and Other Major Cardiothoracic
                                                                 Procedure without Cardiac Catheterization
                                                                 without CC/MCC.
05............................................             242  Permanent Cardiac Pacemaker Implant with MCC.
05............................................             243  Permanent Cardiac Pacemaker Implant with CC.
05............................................             244  Permanent Cardiac Pacemaker Implant without CC/
                                                                 MCC.
05............................................             245  AICD Generator Procedures.
05............................................             258  Cardiac Pacemaker Device Replacement with MCC.
05............................................             259  Cardiac Pacemaker Device Replacement without
                                                                 MCC.
05............................................             260  Cardiac Pacemaker Revision Except Device
                                                                 Replacement with MCC.
05............................................             261  Cardiac Pacemaker Revision Except Device
                                                                 Replacement with CC.
05............................................             262  Cardiac Pacemaker Revision Except Device
                                                                 Replacement without CC/MCC.
05............................................             265  AICD Lead Procedures.
05............................................             266  Endovascular Cardiac Valve Replacement and
                                                                 Supplement Procedures with MCC.
05............................................             267  Endovascular Cardiac Valve Replacement and
                                                                 Supplement Procedures without MCC.
05............................................             268  Aortic and Heart Assist Procedures Except
                                                                 Pulsation Balloon with MCC.
05............................................             269  Aortic and Heart Assist Procedures Except
                                                                 Pulsation Balloon without MCC.
05............................................             270  Other Major Cardiovascular Procedures with MCC.
05............................................             271  Other Major Cardiovascular Procedures with CC.
05............................................             272  Other Major Cardiovascular Procedures without CC/
                                                                 MCC.
05............................................             275  Cardiac Defibrillator Implant with Cardiac
                                                                 Catheterization and MCC.
05............................................             276  Cardiac Defibrillator Implant with MCC or
                                                                 Carotid Sinus Neurostimulator.

[[Page 18076]]

 
05............................................             277  Cardiac Defibrillator Implant without MCC.
05............................................             319  Other Endovascular Cardiac Valve Procedures with
                                                                 MCC.
05............................................             320  Other Endovascular Cardiac Valve Procedures
                                                                 without MCC.
08............................................             461  Bilateral or Multiple Major Joint Procedures of
                                                                 Lower Extremity with MCC.
08............................................             462  Bilateral or Multiple Major Joint Procedures of
                                                                 Lower Extremity without MCC.
08............................................             466  Revision of Hip or Knee Replacement with MCC.
08............................................             467  Revision of Hip or Knee Replacement with CC.
08............................................             468  Revision of Hip or Knee Replacement without CC/
                                                                 MCC.
08............................................             469  Major Hip and Knee Joint Replacement or
                                                                 Reattachment of Lower Extremity with MCC or
                                                                 Total Ankle Replacement.
08............................................             470  Major Hip and Knee Joint Replacement or
                                                                 Reattachment of Lower Extremity without MCC.
08............................................             521  Hip Replacement with Principal Diagnosis of Hip
                                                                 Fracture with MCC.
08............................................             522  Hip Replacement with Principal Diagnosis of Hip
                                                                 Fracture without MCC.
----------------------------------------------------------------------------------------------------------------

    The final list of MS-DRGs subject to the IPPS policy for replaced 
devices offered without cost or with a credit will be included in the 
FY 2026 IPPS/LTCH PPS final rule and also will be issued to providers 
in the form of a Change Request (CR).

D. Recalibration of the FY 2026 MS-DRG Relative Weights

1. Data Sources for Developing the Relative Weights
    Consistent with our established policy, in developing the MS-DRG 
relative weights for FY 2026, we are proposing to use two data sources: 
claims data and cost report data. The claims data source is the MedPAR 
file, which includes fully coded diagnostic and procedure data for all 
Medicare inpatient hospital bills. The FY 2024 MedPAR data used in this 
proposed rule include discharges occurring on October 1, 2023, through 
September 30, 2024, based on bills received by CMS through December 31, 
2024, from all hospitals subject to the IPPS and short-term, acute care 
hospitals in Maryland (which at that time were under a waiver from the 
IPPS).
    The FY 2024 MedPAR file used in calculating the relative weights 
includes data for approximately 6,860,436 Medicare discharges from IPPS 
providers. Discharges for Medicare beneficiaries enrolled in a Medicare 
Advantage managed care plan are excluded from this analysis. These 
discharges are excluded when the MedPAR ``GHO Paid'' indicator field on 
the claim record is equal to ``1'' or when the MedPAR DRG payment 
field, which represents the total payment for the claim, is equal to 
the MedPAR ``Indirect Medical Education (IME)'' payment field, 
indicating that the claim was an ``IME only'' claim submitted by a 
teaching hospital on behalf of a beneficiary enrolled in a Medicare 
Advantage managed care plan. In addition, the December 2024 update of 
the FY 2024 MedPAR file complies with version 5010 of the X12 HIPAA 
Transaction and Code Set Standards, and includes a variable called 
``claim type.'' Claim type ``60'' indicates that the claim was an 
inpatient claim paid as fee-for-service. Claim types ``61'', ``62'', 
``63'', and ``64'' relate to encounter claims, Medicare Advantage IME 
claims, and HMO no-pay claims. Therefore, the calculation of the 
relative weights for FY 2026 also excludes claims with claim type 
values not equal to ``60.'' The data exclude CAHs, including hospitals 
that subsequently became CAHs after the period from which the data were 
taken. In addition, the data exclude Rural Emergency Hospitals (REHs), 
including hospitals that subsequently became REHs after the period from 
which the data were taken. We note that the proposed FY 2026 relative 
weights are based on the ICD-10-CM diagnosis codes and ICD-10-PCS 
procedure codes from the FY 2024 MedPAR claims data, grouped through 
the ICD-10 version of the proposed FY 2026 GROUPER (Version 43).
    The second data source used in the cost-based relative weighting 
methodology is the Medicare cost report data files from the Healthcare 
Cost Report Information System (HCRIS). In general, we use the HCRIS 
dataset that is 3 years prior to the IPPS fiscal year. Specifically, 
for this proposed rule, we used the December 2024 update of the FY 2023 
HCRIS for calculating the FY 2026 cost-based relative weights. 
Consistent with our historical practice, for this FY 2026 proposed 
rule, we are providing the version of the HCRIS from which we 
calculated these 19 cost-to charge-ratios (CCRs) on the CMS website at 
https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/
AcuteInpatientPPS. Click on the link on the left side of the screen 
titled ``FY 2026 IPPS Proposed Rule Home Page'' or ``Acute Inpatient 
Files for Download.''
2. Methodology for Calculation of the Relative Weights
a. General
    We calculated the proposed FY 2026 relative weights based on 19 
CCRs. The methodology we are proposing to use to calculate the FY 2026 
MS-DRG cost-based relative weights based on claims data in the FY 2024 
MedPAR file and data from the FY 2023 Medicare cost reports is as 
follows:
     To the extent possible, all the claims were regrouped 
using the proposed FY 2026 MS-DRG classifications discussed in sections 
II.B. and II.C. of the preamble of this proposed rule.
     The transplant cases that were used to establish the 
relative weights for heart and heart-lung, liver and/or intestinal, and 
lung transplants (MS-DRGs 001, 002, 005, 006, and 007, respectively) 
were limited to those Medicare-approved transplant centers that have 
cases in the FY 2024 MedPAR file. (Medicare coverage for heart, heart-
lung, liver and/or intestinal, and lung transplants is limited to those 
facilities that have received approval from CMS as transplant centers.)
     Organ acquisition costs for kidney, heart, heart-lung, 
liver, lung, pancreas, and intestinal (or multivisceral organs) 
transplants continue to be paid on a reasonable cost basis.
    Because these acquisition costs are paid separately from the 
prospective payment rate, it is necessary to subtract the acquisition 
charges from the total charges on each transplant bill that showed 
acquisition charges before computing the average cost for each MS-DRG 
and before eliminating statistical outliers.
    Section 108 of the Further Consolidated Appropriations Act, 2020 
provides that, for cost reporting periods beginning on or after October 
1, 2020, costs related to hematopoietic stem cell acquisition for the 
purpose of an allogeneic hematopoietic stem cell transplant shall be 
paid on a reasonable

[[Page 18077]]

cost basis. We refer the reader to the FY 2021 IPPS/LTCH PPS final rule 
for further discussion of the reasonable cost basis payment for cost 
reporting periods beginning on or after October 1, 2020 (85 FR 58835 
through 58842). For FY 2022 and subsequent years, we subtract the 
hematopoietic stem cell acquisition charges from the total charges on 
each transplant bill that showed hematopoietic stem cell acquisition 
charges before computing the average cost for each MS-DRG and before 
eliminating statistical outliers.
     Claims with total charges or total lengths of stay less 
than or equal to zero were deleted. Claims that had an amount in the 
total charge field that differed by more than $30.00 from the sum of 
the routine day charges, intensive care charges, pharmacy charges, 
implantable devices charges, supplies and equipment charges, therapy 
services charges, operating room charges, cardiology charges, 
laboratory charges, radiology charges, other service charges, labor and 
delivery charges, inhalation therapy charges, emergency room charges, 
blood and blood products charges, anesthesia charges, cardiac 
catheterization charges, CT scan charges, and MRI charges were also 
deleted.
     At least 92.6 percent of the providers in the MedPAR file 
had charges for 14 of the 19 cost centers. All claims of providers that 
did not have charges greater than zero for at least 14 of the 19 cost 
centers were deleted. In other words, a provider must have no more than 
five blank cost centers. If a provider did not have charges greater 
than zero in more than five cost centers, the claims for the provider 
were deleted.
     Statistical outliers were eliminated by removing all cases 
that were beyond 3.0 standard deviations from the geometric mean of the 
log distribution of both the total charges per case and the total 
charges per day for each MS-DRG.
     Effective October 1, 2008, because hospital inpatient 
claims include a Present on Admission (POA) field for each diagnosis 
present on the claim, only for purposes of relative weight-setting, the 
POA indicator field was reset to ``Y'' for ``Yes'' for all claims that 
otherwise have an ``N'' (No) or a ``U'' (documentation insufficient to 
determine if the condition was present at the time of inpatient 
admission) in the POA field.
    Under current payment policy, the presence of specific HAC codes, 
as indicated by the POA field values, can generate a lower payment for 
the claim. Specifically, if the particular condition is present on 
admission (that is, a ``Y'' indicator is associated with the diagnosis 
on the claim), it is not a HAC, and the hospital is paid for the higher 
severity (and, therefore, the higher weighted MS-DRG). If the 
particular condition is not present on admission (that is, an ``N'' 
indicator is associated with the diagnosis on the claim) and there are 
no other complicating conditions, the DRG GROUPER assigns the claim to 
a lower severity (and, therefore, the lower weighted MS-DRG) as a 
penalty for allowing a Medicare inpatient to contract a HAC. While the 
POA reporting meets policy goals of encouraging quality care and 
generates program savings, it presents an issue for the relative 
weight-setting process. Because cases identified as HACs are likely to 
be more complex than similar cases that are not identified as HACs, the 
charges associated with HAC cases are likely to be higher as well. 
Therefore, if the higher charges of these HAC claims are grouped into 
lower severity MS-DRGs prior to the relative weight-setting process, 
the relative weights of these particular MS-DRGs would become 
artificially inflated, potentially skewing the relative weights. In 
addition, we want to protect the integrity of the budget neutrality 
process by ensuring that, in estimating payments, no increase to the 
standardized amount occurs as a result of lower overall payments in a 
previous year that stem from using weights and case-mix that are based 
on lower severity MS-DRG assignments. If this would occur, the 
anticipated cost savings from the HAC policy would be lost.
    To avoid these problems, we reset the POA indicator field to ``Y'' 
only for relative weight-setting purposes for all claims that otherwise 
have an ``N'' or a ``U'' in the POA field. This resetting ``forced'' 
the more costly HAC claims into the higher severity MS-DRGs as 
appropriate, and the relative weights calculated for each MS-DRG more 
closely reflect the true costs of those cases.
    In addition, in the FY 2013 IPPS/LTCH PPS final rule, for FY 2013 
and subsequent fiscal years, we finalized a policy to treat hospitals 
that participate in the Bundled Payments for Care Improvement (BPCI) 
initiative the same as prior fiscal years for the IPPS payment modeling 
and ratesetting process without regard to hospitals' participation 
within these bundled payment models (77 FR 53341 through 53343). 
Specifically, because acute care hospitals participating in the BPCI 
Initiative still receive IPPS payments under section 1886(d) of the 
Act, we include all applicable data from these subsection (d) hospitals 
in our IPPS payment modeling and ratesetting calculations as if the 
hospitals were not participating in those models under the BPCI 
initiative. We refer readers to the FY 2013 IPPS/LTCH PPS final rule 
for a complete discussion on our final policy for the treatment of 
hospitals participating in the BPCI initiative in our ratesetting 
process. For additional information on the BPCI initiative, we refer 
readers to the CMS' Center for Medicare and Medicaid Innovation's 
website at https://innovation.cms.gov/initiatives/Bundled-Payments/index.html and to section IV.H.4. of the preamble of the FY 2013 IPPS/
LTCH PPS final rule (77 FR 53341 through 53343).
    The participation of hospitals in the BPCI initiative concluded on 
September 30, 2018. The participation of hospitals in the BPCI Advanced 
model started on October 1, 2018. The BPCI Advanced model, tested under 
the authority of section 1115A of the Act, is comprised of a single 
payment and risk track, which bundles payments for multiple services 
that beneficiaries receive during a Clinical Episode. Acute care 
hospitals may participate in BPCI Advanced in one of two capacities: as 
a model Participant or as a downstream Episode Initiator. Regardless of 
the capacity in which they participate in the BPCI Advanced model, 
participating acute care hospitals will continue to receive IPPS 
payments under section 1886(d) of the Act. Acute care hospitals that 
are Participants also assume financial and quality performance 
accountability for Clinical Episodes in the form of a reconciliation 
payment. For additional information on the BPCI Advanced model, we 
refer readers to the BPCI Advanced web page on the CMS Center for 
Medicare and Medicaid Innovation's website at https://innovation.cms.gov/initiatives/bpci-advanced. Consistent with our 
policy for FY 2024, and consistent with how we have treated hospitals 
that participated in the BPCI Initiative, for FY 2025, we continue to 
believe it is appropriate to include all applicable data from the 
subsection (d) hospitals participating in the BPCI Advanced model in 
our IPPS payment modeling and ratesetting calculations because, as 
noted previously, these hospitals are still receiving IPPS payments 
under section 1886(d) of the Act. Consistent with the FY 2025 IPPS/LTCH 
PPS final rule, we are also proposing to include all applicable data 
from subsection (d) hospitals participating in the Comprehensive Care 
for Joint Replacement (CJR) Model in our IPPS

[[Page 18078]]

payment modeling and ratesetting calculations.
    The charges for each of the 19 cost groups for each claim were 
standardized to remove the effects of differences in area wage levels, 
IME and DSH payments, and for hospitals located in Alaska and Hawaii, 
the applicable cost-of-living adjustment. Because hospital charges 
include charges for both operating and capital costs, we standardized 
total charges to remove the effects of differences in geographic 
adjustment factors, cost-of-living adjustments, and DSH payments under 
the capital IPPS as well. Charges were then summed by MS-DRG for each 
of the 19 cost groups so that each MS-DRG had 19 standardized charge 
totals. Statistical outliers were then removed. These charges were then 
adjusted to cost by applying the proposed national average CCRs 
developed from the FY 2023 cost report data.
    The 19 cost centers that we used in the relative weight calculation 
are shown in a supplemental data file, Cost Center HCRIS Lines 
Supplemental Data File, posted via the internet on the CMS website for 
this final rule and available at https://www.cms.gov/Medicare/Medicare-
Fee-for-Service-Payment/AcuteInpatientPPS. The supplemental data file 
shows the lines on the cost report and the corresponding revenue codes 
that we used to create the 19 proposed national cost center CCRs. If we 
receive comments about the groupings in this supplemental data file, we 
may consider these comments as we finalize our policy.
    Consistent with historical practice, we account for rare situations 
of non-monotonicity in a base MS-DRG and its severity levels, where the 
mean cost in the higher severity level is less than the mean cost in 
the lower severity level, in determining the relative weights for the 
different severity levels. If there are initially non-monotonic 
relative weights in the same base DRG and its severity levels, then we 
combine the cases that group to the specific non-monotonic MS-DRGs for 
purposes of relative weight calculations. For example, if there are two 
non-monotonic MS-DRGs, combining the cases across those two MS-DRGs 
results in the same relative weight for both MS-DRGs. The relative 
weight calculated using the combined cases for those severity levels is 
monotonic, effectively removing any non-monotonicity with the base DRG 
and its severity levels. For this FY 2026 proposed rule, this 
calculation was applied to address non-monotonicity for cases that 
grouped to the following: MS-DRG 016 and MS-DRG 017, MS-DRG 095 and MS-
DRG 096, MS-DRG 504 and MS-DRG 505, MS-DRG 797 and MS-DRG 798. In the 
supplemental file titled AOR/BOR File, we include statistics for the 
affected MS-DRGs both separately and with cases combined.
    We are inviting public comments on our proposals related to 
recalibration of the proposed FY 2026 relative weights and the changes 
in relative weights from FY 2025.
b. Relative Weight Calculation for MS-DRG 018
    In the FY 2021 IPPS/LTCH PPS final rule (85 FR 58451 through 
58453), we created MS-DRG 018 for cases that include procedures 
describing CAR T-cell therapies. We also finalized our proposal to 
modify our existing relative weight methodology to ensure that the 
relative weight for MS-DRG 018 appropriately reflects the relative 
resources required for providing CAR T-cell therapy outside of a 
clinical trial, while still accounting for the clinical trial cases in 
the overall average cost for all MS-DRGs (85 FR 58599 through 58600). 
Specifically, we stated that clinical trial claims that group to new 
MS-DRG 018 would not be included when calculating the average cost for 
MS-DRG 018 that is used to calculate the relative weight for this MS-
DRG, so that the relative weight reflects the costs of the CAR T-cell 
therapy drug. We stated that we identified clinical trial claims as 
claims that contain ICD-10-CM diagnosis code Z00.6 or contain 
standardized drug charges of less than $373,000, which was the average 
sales price of KYMRIAH and YESCARTA, the two CAR T-cell biological 
products licensed to treat relapsed/refractory large B-cell lymphoma as 
of the time of the development of the FY 2021 final rule. In addition, 
we stated that (a) when the CAR T-cell therapy product is purchased in 
the usual manner, but the case involves a clinical trial of a different 
product, the claim will be included when calculating the average cost 
for new MS-DRG 018 to the extent such cases can be identified in the 
historical data, and (b) when there is expanded access use of 
immunotherapy, these cases will not be included when calculating the 
average cost for new MS-DRG 018 to the extent such cases can be 
identified in the historical data.
    We also finalized our proposal to calculate an adjustment to 
account for the CAR T-cell therapy cases identified as clinical trial 
cases in calculating the national average standardized cost per case 
that is used to calculate the relative weights for all MS-DRGs and for 
purposes of budget neutrality and outlier simulations. We calculate 
this adjustor by dividing the average cost for cases that we identify 
as clinical trial cases by the average cost for cases that we identify 
as non-clinical trial cases, with the additional refinements that (a) 
when the CAR T-cell therapy product is purchased in the usual manner, 
but the case involves a clinical trial of a different product, the 
claim will be included when calculating the average cost for cases not 
determined to be clinical trial cases to the extent such cases can be 
identified in the historical data, and (b) when there is expanded 
access use of immunotherapy, these cases will be included when 
calculating the average cost for cases determined to be clinical trial 
cases to the extent such cases can be identified in the historical 
data. We stated that to the best of our knowledge, there were no claims 
in the historical data used in the calculation of this adjustment for 
cases involving a clinical trial of a different product, and to the 
extent the historical data contain claims for cases involving expanded 
access use of immunotherapy we believe those claims would have drug 
charges less than $373,000.
    In the FY 2021 IPPS/LTCH PPS final rule (85 FR 58842), we also 
finalized an adjustment to the payment amount for applicable clinical 
trial and expanded access use immunotherapy cases that group to MS-DRG 
018, and indicated that we would provide instructions for identifying 
these claims in separate guidance. Following the issuance of the FY 
2021 IPPS/LTCH PPS final rule, we issued guidance \9\ stating that 
providers may enter a Billing Note NTE02 ``Expand Acc Use'' on the 
electronic claim 837I or a remark ``Expand Acc Use'' on a paper claim 
to notify the MAC of expanded access use of CAR T-cell therapy. In this 
case, the MAC would add payer-only condition code ``ZB'' so that Pricer 
will apply the payment adjustment in calculating payment for the case. 
In cases when the CAR T-cell therapy product is purchased in the usual 
manner, but the case involves a clinical trial of a different product, 
the provider may enter a Billing Note NTE02 ``Diff Prod Clin Trial'' on 
the electronic claim 837I or a remark ``Diff Prod Clin Trial'' on a 
paper claim. In this case, the MAC would add payer-only condition code 
``ZC'' so that the Pricer will not apply the payment adjustment in 
calculating payment for the case.
---------------------------------------------------------------------------

    \9\ https://www.cms.gov/files/document/r10571cp.pdf.
---------------------------------------------------------------------------

    In the FY 2022 IPPS/LTCH PPS final rule, we revised MS-DRG 018 to 
include cases that report the procedure codes for CAR T-cell and non-
CAR T-cell therapies and other

[[Page 18079]]

immunotherapies (86 FR 44798 through 44806). We also finalized our 
proposal to continue to use the proxy of standardized drug charges of 
less than $373,000 (86 FR 44965) to identify clinical trial claims. We 
also finalized use of this same proxy for the FY 2023 IPPS/LTCH PPS 
final rule (87 FR 48894).
    Following the issuance of the FY 2023 IPPS/LTCH PPS final rule, we 
issued guidance \10\ stating where there is expanded access use of 
immunotherapy, the provider may submit condition code ``90'' on the 
claim so that Pricer will apply the payment adjustment in calculating 
payment for the case. We stated that MACs would no longer append 
Condition Code `ZB' to inpatient claims reporting Billing Note NTE02 
``Expand Acc Use'' on the electronic claim 837I or a remark ``Expand 
Acc Use'' on a paper claim, effective for claims for discharges that 
occur on or after October 1, 2022.
---------------------------------------------------------------------------

    \10\ https://www.cms.gov/files/document/r11727cp.pdf.
---------------------------------------------------------------------------

    In the FY 2024 IPPS/LTCH PPS final rule, we explained that the 
MedPAR claims data now includes a field that identifies whether or not 
the claim includes expanded access use of immunotherapy. We stated that 
for the FY 2022 MedPAR claims data, this field identifies whether or 
not the claim includes condition code ZB, and for the FY 2023 MedPAR 
data and subsequent years, this field will identify whether or not the 
claim includes condition code 90. We further noted that the MedPAR 
files now also include a variable that indicates whether the claim 
includes the payer-only condition code ``ZC'', which identifies a case 
involving the clinical trial of a different product where the CAR T-
cell, non-CAR T-cell, or other immunotherapy product is purchased in 
the usual manner.
    Accordingly, and as discussed further in the FY 2024 IPPS/LTCH PPS 
final rule, we finalized two modifications to our methodology for 
identifying clinical trial claims and expanded access use claims in MS-
DRG 018 (88 FR 58791). First, we finalized to exclude claims with the 
presence of condition code ``90'' (or, for FY 2024 ratesetting, which 
was based on the FY 2022 MedPAR data, the presence of condition code 
``ZB'') and claims that contain ICD-10-CM diagnosis code Z00.6 without 
payer-only code ``ZC'' that group to MS-DRG 018 when calculating the 
average cost for MS-DRG 018. Second, we finalized to no longer use the 
proxy of standardized drug charges of less than $373,000 to identify 
clinical trial claims and expanded access use cases when calculating 
the average cost for MS-DRG 018. Accordingly, we finalized that in 
calculating the relative weight for MS-DRG 018 for FY 2024, only those 
claims that group to MS-DRG 018 that (1) contain ICD-10-CM diagnosis 
code Z00.6 and do not include payer-only code ``ZC'' or (2) contain 
condition code ``ZB'' (or, for subsequent fiscal years, condition code 
``90'') would be excluded from the calculation of the average cost for 
MS-DRG 018. Consistent with this, we also finalized modifications to 
our calculation of the adjustment to account for the CAR T-cell therapy 
cases identified as clinical trial cases in calculating the national 
average standardized cost per case that is used to calculate the 
relative weights for all MS-DRGs. We refer readers to the FY 2024 IPPS/
LTCH PPS final rule for further discussion of these modifications (88 
FR 58791).
    Consistent with the FY 2025 IPPS/LTCH PPS final rule, in this 
proposed rule, for FY 2026 we are proposing to continue to use our 
methodology as modified in the FY 2024 IPPS/LTCH PPS final rule for 
identifying clinical trial claims and expanded access use claims in MS-
DRG 018, with an additional modification as discussed in this section. 
First, we exclude claims with the presence of condition code ``90'' and 
claims that contain ICD-10-CM diagnosis code Z00.6 without payer-only 
code ``ZC'' that group to MS-DRG 018 when calculating the average cost 
for MS-DRG 018. Second, we no longer use the proxy of standardized drug 
charges of less than $373,000 to identify clinical trial claims and 
expanded access use cases when calculating the average cost for MS-DRG 
018.
    In section VI.H. of this proposed rule, we discuss our proposal to 
apply the payment adjustment for clinical trial and expanded access use 
immunotherapy cases to other cases where the immunotherapy product is 
not purchased in the usual manner, such as obtained at no cost. To 
mirror this proposed change within our relative weight methodology, we 
are proposing to also exclude claims with standardized drug charges 
below the median standardized drug charge of claims identified as 
clinical trials in MS-DRG 018 (that is, claims that contain ICD-10-CM 
diagnosis code Z00.6 and do not include payer-only code ``ZC'') when we 
calculate the average cost for MS-DRG 018. For this proposed rule, 
based on the December 2024 update of the FY 2024 MedPAR file, we 
estimate that the median standardized drug charge of claims identified 
as clinical trials in MS-DRG 018 (that is, claims that contain ICD-10-
CM diagnosis code Z00.6 and do not include payer-only code ``ZC'') is 
$29,819. We are proposing to apply this policy for 2 years (that is, in 
our relative weight methodology for MS-DRG 018 for FYs 2026 and 2027), 
until the claims data reflects the addition of the condition code 
indicating that the immunotherapy product is not purchased in the usual 
manner, such as obtained at no cost, which then would be able to be 
used to identify these cases such that they can be identified for 
exclusion from the calculation of the average cost of MS-DRG 018. We 
are also proposing, for the purpose of performing this trim, to update 
the median standardized drug charge of claims identified as clinical 
trials in MS-DRG 018 based on more recent data for the final rule.
    Accordingly, we are proposing that in calculating the relative 
weight for MS-DRG 018 for FY 2026, in identifying clinical trial claims 
and expanded access use claims and other cases where the immunotherapy 
product is not purchased in the usual manner, such as obtained at no 
cost, only those claims that group to MS-DRG 018 that (1) contain ICD-
10-CM diagnosis code Z00.6 and do not include payer-only code ``ZC'', 
(2) contain condition code ``90'', or (3) contain standardized drug 
charges below the median standardized drug charge of clinical trial 
cases in MS-DRG 018 would be excluded from the calculation of the 
average cost for MS-DRG 018.
    With respect to claims that group to MS-DRG 018 and are identified 
as clinical trials or involve expanded access use of the CAR T-cell 
therapy or other immunotherapy, we note that there are some cases that 
appear to include drug charges similar to cases not identified as 
clinical trials or involving expanded access use. These charges are 
generally in revenue center 0891, Cell Therapy Drug Charges. We are 
seeking comments on potential reasons for why claims identified as 
clinical trials or involving expanded access use, in which the provider 
would typically receive the product at no cost, would have charges in 
revenue center 0891, Cell Therapy Drug Charges.
    We are also proposing to continue to use the methodology as 
modified in the FY 2024 IPPS/LTCH PPS final rule to calculate the 
adjustment to account for the CAR T-cell therapy cases identified as 
clinical trial cases in calculating the national average standardized 
cost per case that is used to calculate the relative weights for all 
MS-DRGs, with the same proposed modification as described previously to 
identify other cases where the immunotherapy product is not

[[Page 18080]]

purchased in the usual manner, such as obtained at no cost:
     Calculate the average cost for cases assigned to MS-DRG 
018 that (a) contain ICD-10-CM diagnosis code Z00.6 and do not contain 
condition code ``ZC'', (b) contain condition code ``90'', or (c) 
contain standardized drug charges below the median standardized drug 
charge of clinical trial cases in MS-DRG 018.
     Calculate the average cost for all other cases assigned to 
MS-DRG 018.
     Calculate an adjustor by dividing the average cost 
calculated in step 1 by the average cost calculated in step 2.
     Apply the adjustor calculated in step 3 to the cases 
identified in step 1 as applicable clinical trial or expanded access 
use cases, and other cases where the immunotherapy product is not 
purchased in the usual manner, such as obtained at no cost, then add 
this adjusted case count to the non-clinical trial case count prior to 
calculating the average cost across all MS-DRGs.
    Under our proposal to continue to apply this methodology, with the 
proposed modification as described, based on the December 2024 update 
of the FY 2024 MedPAR file used for this proposed rule, we estimated 
that the average costs of cases assigned to MS-DRG 018 that are 
identified as clinical trial cases ($88,484) were 23 percent of the 
average costs of the cases assigned to MS-DRG 018 that are identified 
as non-clinical trial cases ($385,147). Accordingly, as we did for FY 
2025, we are proposing to adjust the transfer-adjusted case count for 
MS-DRG 018 by applying the proposed adjustor of 0.23 to the applicable 
clinical trial and expanded access use immunotherapy cases, and other 
cases where the immunotherapy product is not purchased in the usual 
manner, such as obtained at no cost, and to use this adjusted case 
count for MS-DRG 018 in calculating the national average cost per case, 
which is used in the calculation of the relative weights. Therefore, in 
calculating the national average cost per case for purposes of this 
proposed rule, each case identified as an applicable clinical trial or 
expanded access use immunotherapy case, and other cases where the 
immunotherapy product is not purchased in the usual manner, such as 
obtained at no cost, was adjusted by 0.23. As we did for FY 2025, we 
are applying the same adjustor for the applicable cases that group to 
MS-DRG 018 for purposes of budget neutrality and outlier simulations. 
We are also proposing to update the value of the adjustor based on more 
recent data for the final rule.
d. Cap for Relative Weight Reductions
    In the FY 2023 IPPS/LTCH PPS final rule, we finalized a permanent 
10-percent cap on the reduction in an MS-DRG's relative weight in a 
given fiscal year, beginning in FY 2023. We also finalized a budget 
neutrality adjustment to the standardized amount for all hospitals to 
ensure that application of the permanent 10-percent cap does not result 
in an increase or decrease of estimated aggregate payments. We refer 
the reader to the FY 2023 IPPS/LTCH PPS final rule for further 
discussion of this policy. In the Addendum to this IPPS/LTCH PPS 
proposed rule, we present the proposed budget neutrality adjustment for 
reclassification and recalibration of the FY 2026 MS-DRG relative 
weights with application of this cap. We are also making available on 
the CMS website a supplemental file demonstrating the application of 
the permanent 10 percent cap for FY 2026. For a further discussion of 
the proposed budget neutrality adjustment for FY 2026, we refer readers 
to the Addendum of this proposed rule.
3. Development of National Average Cost-To-Charge Ratios (CCRs)
    We developed the proposed national average CCRs as follows:
    Using the FY 2023 cost report data, we removed CAHs, REHs, Indian 
Health Service hospitals, all-inclusive rate hospitals, and cost 
reports that represented time periods of less than 1 year (365 days). 
We included hospitals located in Maryland because we include their 
charges in our claims database. Then we created CCRs for each provider 
for each cost center (see the supplemental data file for line items 
used in the calculations) and removed any CCRs that were greater than 
10 or less than 0.01. We normalized the departmental CCRs by dividing 
the CCR for each department by the total CCR for the hospital for the 
purpose of trimming the data. Then we took the logs of the normalized 
cost center CCRs and removed any cost center CCRs where the log of the 
cost center CCR was greater or less than the mean log plus/minus 3 
times the standard deviation for the log of that cost center CCR. Once 
the cost report data were trimmed, we calculated a Medicare-specific 
CCR. The Medicare-specific CCR was determined by taking the Medicare 
charges for each line item from Worksheet D-3 and deriving the 
Medicare-specific costs by applying the hospital-specific departmental 
CCRs to the Medicare-specific charges for each line item from Worksheet 
D-3. Once each hospital's Medicare-specific costs were established, we 
summed the total Medicare-specific costs and divided by the sum of the 
total Medicare-specific charges to produce national average, charge-
weighted CCRs.
    After we multiplied the total charges for each MS-DRG in each of 
the 19 cost centers by the corresponding national average CCR, we 
summed the 19 ``costs'' across each MS-DRG to produce a total 
standardized cost for the MS-DRG. The average standardized cost for 
each MS-DRG was then computed as the total standardized cost for the 
MS-DRG divided by the transfer-adjusted case count for the MS-DRG. The 
average cost for each MS-DRG was then divided by the national average 
standardized cost per case to determine the relative weight. The 
proposed FY 2026 cost-based relative weights were then normalized by an 
adjustment factor of 1.92111 so that the average case weight after 
recalibration was equal to the average case weight before 
recalibration. The normalization adjustment is intended to ensure that 
recalibration by itself neither increases nor decreases total payments 
under the IPPS, as required by section 1886(d)(4)(C)(iii) of the Act. 
We then applied the permanent 10-percent cap on the reduction in a MS-
DRG's relative weight in a given fiscal year; specifically for those 
MS-DRGs for which the relative weight otherwise would have declined by 
more than 10 percent from the FY 2025 relative weight, we set the 
proposed FY 2026 relative weight equal to 90 percent of the FY 2025 
relative weight. The proposed relative weights for FY 2026 as set forth 
in Table 5 associated with this proposed rule and available on the CMS 
website at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-
Payment/AcuteInpatientPPS reflect the application of this cap.
    The proposed 19 national average CCRs for FY 2026 are as follows:

                          National Average CCRS
------------------------------------------------------------------------
                            Group                                 CCR
------------------------------------------------------------------------
Routine Days.................................................      0.395
Intensive Days...............................................      0.341
Drugs and Cellular Therapies.................................      0.179
Supplies & Equipment.........................................      0.304
Implantable Devices..........................................      0.265
Inhalation Therapy...........................................      0.149
Therapy Services.............................................       0.26
Anesthesia...................................................      0.074
Labor & Delivery.............................................      0.367
Operating Room...............................................      0.156
Cardiology...................................................      0.087
Cardiac Catheterization......................................      0.100
Laboratory...................................................      0.099
Radiology....................................................      0.124
MRIs.........................................................      0.066
CT Scans.....................................................      0.032
Emergency Room...............................................      0.141

[[Page 18081]]

 
Blood and Blood Products.....................................      0.238
Other Services...............................................      0.330
------------------------------------------------------------------------

    Since FY 2009, the relative weights have been based on 100 percent 
cost weights based on our MS-DRG grouping system.
    When we recalibrated the DRG weights for previous years, we set a 
threshold of 10 cases as the minimum number of cases required to 
compute a reasonable weight. We are proposing to use that same case 
threshold in recalibrating the proposed MS-DRG relative weights for FY 
2026. Using data from the FY 2024 MedPAR file, there were 10 MS-DRGs 
that contain fewer than 10 cases. For FY 2026, because we do not have 
sufficient MedPAR data to set accurate and stable cost relative weights 
for these low-volume MS-DRGs, we are proposing to compute relative 
weights for the low-volume MS-DRGs by adjusting their final FY 2025 
relative weights by the percentage change in the average weight of the 
cases in other MS-DRGs from FY 2025 to FY 2026. The crosswalk table is 
as follows.

                           Low-Volume MS-DRGS
------------------------------------------------------------------------
   Low-volume MS-DRG           MS-DRG title         Crosswalk to MS-DRG
------------------------------------------------------------------------
010....................  Pancreas Transplant....  Final FY 2025 relative
                                                   weight (adjusted by
                                                   percent change in
                                                   average weight of the
                                                   cases in other MS-
                                                   DRGs).
096....................  Bacterial and            Final FY 2025 relative
                          Tuberculous Infections   weight (adjusted by
                          of Nervous System        percent change in
                          without CC/MCC.          average weight of the
                                                   cases in other MS-
                                                   DRGs).
218....................  Cardiac Valve and Other  Final FY 2025 relative
                          Major Cardiothoracic     weight (adjusted by
                          Procedures with          percent change in
                          Cardiac                  average weight of the
                          Catheterization          cases in other MS-
                          without CC/MCC.          DRGs).
789....................  Neonates, Died or        Final FY 2025 relative
                          Transferred to Another   weight (adjusted by
                          Acute Care Facility.     percent change in
                                                   average weight of the
                                                   cases in other MS-
                                                   DRGs).
790....................  Extreme Immaturity or    Final FY 2025 relative
                          Respiratory Distress     weight (adjusted by
                          Syndrome, Neonate.       percent change in
                                                   average weight of the
                                                   cases in other MS-
                                                   DRGs).
791....................  Prematurity with Major   Final FY 2025 relative
                          Problems.                weight (adjusted by
                                                   percent change in
                                                   average weight of the
                                                   cases in other MS-
                                                   DRGs).
792....................  Prematurity without      Final FY 2025 relative
                          Major Problems.          weight (adjusted by
                                                   percent change in
                                                   average weight of the
                                                   cases in other MS-
                                                   DRGs).
793....................  Full-Term Neonate with   Final FY 2025 relative
                          Major Problems.          weight (adjusted by
                                                   percent change in
                                                   average weight of the
                                                   cases in other MS-
                                                   DRGs).
794....................  Neonate with Other       Final FY 2025 relative
                          Significant Problems.    weight (adjusted by
                                                   percent change in
                                                   average weight of the
                                                   cases in other MS-
                                                   DRGs).
795....................  Normal Newborn.........  Final FY 2025 relative
                                                   weight (adjusted by
                                                   percent change in
                                                   average weight of the
                                                   cases in other MS-
                                                   DRGs).
------------------------------------------------------------------------

E. Add-On Payments for New Services and Technologies for FY 2026

1. Background
    Effective for discharges beginning on or after October 1, 2001, 
section 1886(d)(5)(K)(i) of the Act requires the Secretary to establish 
a mechanism to recognize the costs of new medical services and 
technologies (sometimes collectively referred to in this section as 
``new technologies'') under the IPPS. Section 1886(d)(5)(K)(vi) of the 
Act specifies that a medical service or technology will be considered 
new if it meets criteria established by the Secretary after notice and 
opportunity for public comment. Section 1886(d)(5)(K)(ii)(I) of the Act 
specifies that a new medical service or technology may be considered 
for new technology add-on payment if, based on the estimated costs 
incurred with respect to discharges involving such service or 
technology, the DRG prospective payment rate otherwise applicable to 
such discharges under this subsection is inadequate. The regulations at 
42 CFR 412.87 implement these provisions and Sec.  412.87(b) specifies 
three criteria for a new medical service or technology to receive the 
additional payment: (1) the medical service or technology must be new; 
(2) the medical service or technology must be costly such that the DRG 
rate otherwise applicable to discharges involving the medical service 
or technology is determined to be inadequate; and (3) the service or 
technology must demonstrate a substantial clinical improvement over 
existing services or technologies. In addition, certain transformative 
new devices and antimicrobial products may qualify under an alternative 
inpatient new technology add-on payment pathway, as set forth in the 
regulations at Sec.  412.87(c) and (d).
    We note that section 1886(d)(5)(K)(i) of the Act requires the 
Secretary to establish a mechanism to recognize the costs of new 
medical services and technologies under the payment system established 
under that subsection, which establishes the system for paying for the 
operating costs of inpatient hospital services. The system of payment 
for capital costs is established under section 1886(g) of the Act. 
Therefore, as discussed in prior rulemaking (72 FR 47307 through 
47308), we do not include capital costs in the add-on payments for a 
new medical service or technology or make new technology add-on 
payments under the IPPS for capital-related costs.
    In this proposed rule, we highlight some of the major statutory and 
regulatory provisions relevant to the new technology add-on payment 
criteria, as well as other information. For further discussion on the 
new technology add-on payment criteria, we refer readers to the FY 2012 
IPPS/LTCH PPS final rule (76 FR 51572 through 51574), the FY 2020 IPPS/
LTCH PPS final rule (84 FR 42288 through 42300), and the FY 2021 IPPS/
LTCH PPS final rule (85 FR 58736 through 58742).
a. New Technology Add-On Payment Criteria
(1) Newness Criterion
    Under the first criterion, as reflected in Sec.  412.87(b)(2), a 
specific medical service or technology will no longer be considered 
``new'' for purposes of new medical service or technology add-on 
payments after CMS has recalibrated the MS-DRGs, based on available 
data, to reflect the cost of the technology. We note that we do not 
consider a service

[[Page 18082]]

or technology to be new if it is substantially similar to one or more 
existing technologies. That is, even if a medical product receives a 
new FDA marketing authorization, it may not necessarily be considered 
``new'' for purposes of new technology add-on payments if it is 
``substantially similar'' to another medical product that was market 
authorized by FDA and has been on the market for more than 2 to 3 
years. In the FY 2010 IPPS/RY 2010 LTCH PPS final rule (74 FR 43813 
through 43814), we established criteria for evaluating whether a new 
technology is substantially similar to an existing technology, 
specifically whether: (1) a product uses the same or a similar 
mechanism of action to achieve a therapeutic outcome; (2) a product is 
assigned to the same or a different MS-DRG; and (3) the new use of the 
technology involves the treatment of the same or similar type of 
disease and the same or similar patient population. If a technology 
meets all three of these criteria, it would be considered substantially 
similar to an existing technology and would not be considered ``new'' 
for purposes of new technology add-on payments. For a detailed 
discussion of the criteria for substantial similarity, we refer readers 
to the FY 2006 IPPS final rule (70 FR 47351 through 47352) and the FY 
2010 IPPS/LTCH PPS final rule (74 FR 43813 through 43814).
(2) Cost Criterion
    Under the second criterion, Sec.  412.87(b)(3) further provides 
that, to be eligible for the add-on payment for new medical services or 
technologies, the MS-DRG prospective payment rate otherwise applicable 
to discharges involving the new medical service or technology must be 
assessed for adequacy. Under the cost criterion, consistent with the 
formula specified in section 1886(d)(5)(K)(ii)(I) of the Act, to assess 
the adequacy of payment for a new technology paid under the applicable 
MS-DRG prospective payment rate, we evaluate whether the charges of the 
cases involving a new medical service or technology will exceed a 
threshold amount that is the lesser of 75 percent of the standardized 
amount (increased to reflect the difference between cost and charges) 
or 75 percent of one standard deviation beyond the geometric mean 
standardized charge for all cases in the MS-DRG to which the new 
medical service or technology is assigned (or the case-weighted average 
of all relevant MS-DRGs if the new medical service or technology occurs 
in many different MS-DRGs). The MS-DRG threshold amounts generally used 
in evaluating new technology add-on payment applications for FY 2026 
are presented in a data file that is available, along with the other 
data files associated with the FY 2025 IPPS/LTCH PPS final rule, 
correction notice and interim final action with comment period, on the 
CMS website at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.
    We note that, under the policy finalized in the FY 2021 IPPS/LTCH 
PPS final rule (85 FR 58603 through 58605), beginning with FY 2022, we 
use the proposed threshold values associated with the proposed rule for 
that fiscal year to evaluate the cost criterion for all applications 
for new technology add-on payments and previously approved technologies 
that may continue to receive new technology add-on payments, if those 
technologies would be assigned to a proposed new MS-DRG for that same 
fiscal year.
    As finalized in the FY 2019 IPPS/LTCH PPS final rule (83 FR 41275), 
beginning with FY 2020, we include the thresholds applicable to the 
next fiscal year (previously included in Table 10 of the annual IPPS/
LTCH PPS proposed and final rules) in the data files associated with 
the prior fiscal year. Accordingly, the proposed thresholds for 
applications for new technology add-on payments for FY 2027 are 
presented in a data file that is available on the CMS website, along 
with the other data files associated with this FY 2026 proposed rule, 
by clicking on the FY 2026 IPPS Proposed Rule Home Page at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.
    In the September 7, 2001, final rule that established the new 
technology add-on payment regulations (66 FR 46917), we discussed that 
applicants should submit a significant sample of data to demonstrate 
that the medical service or technology meets the high-cost threshold. 
Specifically, applicants should submit a sample of sufficient size to 
enable us to undertake an initial validation and analysis of the data. 
We also discussed in the September 7, 2001, final rule (66 FR 46917) 
the issue of whether the Health Insurance Portability and 
Accountability Act (HIPAA) Privacy Rule at 45 CFR part 160 and subparts 
A and E of 45 CFR part 164, applies to claims information that 
providers submit with applications for new medical service or 
technology add-on payments. We refer readers to the FY 2012 IPPS/LTCH 
PPS final rule (76 FR 51573) for further information on this issue.
(3) Substantial Clinical Improvement Criterion
    Under the third criterion at Sec.  412.87(b)(1), a medical service 
or technology must represent an advance that substantially improves, 
relative to technologies previously available, the diagnosis or 
treatment of Medicare beneficiaries. In the FY 2020 IPPS/LTCH PPS final 
rule (84 FR 42288 through 42292), we prospectively codified in our 
regulations at Sec.  412.87(b) the following aspects of how we evaluate 
substantial clinical improvement for purposes of new technology add-on 
payments under the IPPS:
     The totality of the circumstances is considered when 
making a determination that a new medical service or technology 
represents an advance that substantially improves, relative to services 
or technologies previously available, the diagnosis or treatment of 
Medicare beneficiaries.
     A determination that a new medical service or technology 
represents an advance that substantially improves, relative to services 
or technologies previously available, the diagnosis or treatment of 
Medicare beneficiaries means--
    ++ The new medical service or technology offers a treatment option 
for a patient population unresponsive to, or ineligible for, currently 
available treatments;
    ++ The new medical service or technology offers the ability to 
diagnose a medical condition in a patient population where that medical 
condition is currently undetectable, or offers the ability to diagnose 
a medical condition earlier in a patient population than allowed by 
currently available methods, and there must also be evidence that use 
of the new medical service or technology to make a diagnosis affects 
the management of the patient;
    ++ The use of the new medical service or technology significantly 
improves clinical outcomes relative to services or technologies 
previously available as demonstrated by one or more of the following: a 
reduction in at least one clinically significant adverse event, 
including a reduction in mortality or a clinically significant 
complication; a decreased rate of at least one subsequent diagnostic or 
therapeutic intervention; a decreased number of future hospitalizations 
or physician visits; a more rapid beneficial resolution of the disease 
process treatment including, but not limited to, a reduced length of 
stay or recovery time; an improvement in one or more activities of 
daily living; an

[[Page 18083]]

improved quality of life; or, a demonstrated greater medication 
adherence or compliance; or
    ++ The totality of the circumstances otherwise demonstrates that 
the new medical service or technology substantially improves, relative 
to technologies previously available, the diagnosis or treatment of 
Medicare beneficiaries.
     Evidence from the following published or unpublished 
information sources from within the United States or elsewhere may be 
sufficient to establish that a new medical service or technology 
represents an advance that substantially improves, relative to services 
or technologies previously available, the diagnosis or treatment of 
Medicare beneficiaries: clinical trials, peer reviewed journal 
articles; study results; meta-analyses; consensus statements; white 
papers; patient surveys; case studies; reports; systematic literature 
reviews; letters from major healthcare associations; editorials and 
letters to the editor; and public comments. Other appropriate 
information sources may be considered.
     The medical condition diagnosed or treated by the new 
medical service or technology may have a low prevalence among Medicare 
beneficiaries.
     The new medical service or technology may represent an 
advance that substantially improves, relative to services or 
technologies previously available, the diagnosis or treatment of a 
subpopulation of patients with the medical condition diagnosed or 
treated by the new medical service or technology.
    We refer the reader to the FY 2020 IPPS/LTCH PPS final rule (84 FR 
42288 through 42292) for additional discussion of the evaluation of 
substantial clinical improvement for purposes of new technology add-on 
payments under the IPPS.
    We note, consistent with the discussion in the FY 2003 IPPS final 
rule (67 FR 50015), that while FDA has regulatory responsibility for 
decisions related to marketing authorization (for example, approval, 
clearance, etc.), we do not rely upon FDA criteria in our evaluation of 
substantial clinical improvement for purposes of determining what 
services and technologies qualify for new technology add-on payments 
under Medicare. This criterion does not depend on the standard of 
safety and effectiveness on which FDA relies but on a demonstration of 
substantial clinical improvement in the Medicare population.
b. Alternative Inpatient New Technology Add-On Payment Pathway
    Beginning with applications for FY 2021 new technology add-on 
payments, under the regulations at Sec.  412.87(c), a medical device 
that is part of FDA's Breakthrough Devices Program may qualify for the 
new technology add-on payment under an alternative pathway. 
Additionally, under the regulations at Sec.  412.87(d) for certain 
antimicrobial products, beginning with FY 2021, a drug that is 
designated by FDA as a Qualified Infectious Disease Product (QIDP), 
and, beginning with FY 2022, a drug that is approved by FDA under the 
Limited Population Pathway for Antibacterial and Antifungal Drugs 
(LPAD), may also qualify for the new technology add-on payment under an 
alternative pathway. We refer the reader to the FY 2020 IPPS/LTCH PPS 
final rule (84 FR 42292 through 42297) and the FY 2021 IPPS/LTCH PPS 
final rule (85 FR 58737 through 58739) for further discussion on this 
policy. We note that CMS reviews the application based on the 
information provided by the applicant only under the alternative 
pathway specified by the applicant at the time of application 
submission. To receive approval for the new technology add-on payment 
under that alternative pathway, the technology must have the applicable 
FDA designation and meet all other requirements in the regulations in 
Sec.  412.87(c) and (d), as applicable.
(1) Alternative Pathway for Certain Transformative New Devices
    For applications received for new technology add-on payments for FY 
2021 and subsequent fiscal years, a medical device designated under 
FDA's Breakthrough Devices Program \11\ that has received FDA marketing 
authorization will be considered not substantially similar to an 
existing technology for purposes of the new technology add-on payment 
under the IPPS, and will not need to meet the requirement under Sec.  
412.87(b)(1) that it represent an advance that substantially improves, 
relative to technologies previously available, the diagnosis or 
treatment of Medicare beneficiaries. Under this alternative pathway, a 
medical device that has received a Breakthrough Device designation, and 
then received FDA marketing authorization (that is, has been approved 
or cleared by, or had a De Novo classification request granted by, FDA) 
for the indication covered by the Breakthrough Device designation, will 
need to meet the requirements of Sec.  412.87(c). We note that in the 
FY 2021 IPPS/LTCH PPS final rule (85 FR 58734 through 58736), we 
clarified our policy that a new medical device under this alternative 
pathway must receive marketing authorization for the indication covered 
by the Breakthrough Devices Program designation. We refer the reader to 
the FY 2021 IPPS/LTCH PPS final rule (85 FR 58734 through 58736) for 
further discussion regarding this clarification.
---------------------------------------------------------------------------

    \11\ Breakthrough Devices Program https://www.fda.gov/medical-devices/how-study-and-market-your-device/breakthrough-devices-program.
---------------------------------------------------------------------------

(2) Alternative Pathway for Certain Antimicrobial Products
    For applications received for new technology add-on payments for 
certain antimicrobial products, beginning with FY 2021, if a technology 
is designated by FDA as a QIDP and received FDA marketing 
authorization, and, beginning with FY 2022, if a drug is approved under 
FDA's LPAD pathway and used for the indication approved under the LPAD 
pathway, it will be considered not substantially similar to an existing 
technology for purposes of new technology add-on payments and will not 
need to meet the requirement that it represent an advance that 
substantially improves, relative to technologies previously available, 
the diagnosis or treatment of Medicare beneficiaries. Under this 
alternative pathway for QIDPs and LPADs, a medical product that has 
received FDA marketing authorization and is designated by FDA as a QIDP 
or approved under the LPAD pathway will need to meet the requirements 
of Sec.  412.87(d). We refer the reader to the FY 2020 IPPS/LTCH PPS 
final rule (84 FR 42292 through 42297) and FY 2021 IPPS/LTCH PPS final 
rule (85 FR 58737 through 58739) for further discussion on this policy.
    We note that, in the FY 2021 IPPS/LTCH PPS final rule (85 FR 58737 
through 58739), we clarified that a new medical product seeking 
approval for the new technology add-on payment under the alternative 
pathway for QIDPs must receive FDA marketing authorization for the 
indication covered by the QIDP designation. We also finalized our 
policy to expand our alternative new technology add-on payment pathway 
for certain antimicrobial products to include products approved under 
the LPAD pathway and used for the indication approved under the LPAD 
pathway.
c. Additional Payment for New Medical Service or Technology
    The new medical service or technology add-on payment policy under 
the IPPS provides additional payments for cases with relatively high

[[Page 18084]]

costs involving eligible new medical services or technologies, while 
preserving some of the incentives inherent under an average-based 
prospective payment system. The payment mechanism is based on the cost 
to hospitals for the new medical service or technology. As noted 
previously, we do not include capital costs in the add-on payments for 
a new medical service or technology or make new technology add-on 
payments under the IPPS for capital-related costs (72 FR 47307 through 
47308).
    For discharges occurring before October 1, 2019, under Sec.  
412.88, if the costs of the discharge (determined by applying operating 
cost-to-charge ratios (CCRs) as described in Sec.  412.84(h)) exceed 
the full DRG payment (including payments for IME and DSH, but excluding 
outlier payments), CMS made an add-on payment equal to the lesser of: 
(1) 50 percent of the costs of the new medical service or technology; 
or (2) 50 percent of the amount by which the costs of the case exceed 
the standard DRG payment.
    Beginning with discharges on or after October 1, 2019, for the 
reasons discussed in the FY 2020 IPPS/LTCH PPS final rule (84 FR 42297 
through 42300), we finalized an increase in the new technology add-on 
payment percentage, as reflected at Sec.  412.88(a)(2)(ii). 
Specifically, for a new technology other than a medical product 
designated by FDA as a QIDP, beginning with discharges on or after 
October 1, 2019, if the costs of a discharge involving a new technology 
(determined by applying CCRs as described in Sec.  412.84(h)) exceed 
the full DRG payment (including payments for IME and DSH, but excluding 
outlier payments), Medicare will make an add-on payment equal to the 
lesser of: (1) 65 percent of the costs of the new medical service or 
technology; or (2) 65 percent of the amount by which the costs of the 
case exceed the standard DRG payment. For a new technology that is a 
medical product designated by FDA as a QIDP, beginning with discharges 
on or after October 1, 2019, if the costs of a discharge involving a 
new technology (determined by applying CCRs as described in Sec.  
412.84(h)) exceed the full DRG payment (including payments for IME and 
DSH, but excluding outlier payments), Medicare will make an add-on 
payment equal to the lesser of: (1) 75 percent of the costs of the new 
medical service or technology; or (2) 75 percent of the amount by which 
the costs of the case exceed the standard DRG payment. For a new 
technology that is a medical product approved under FDA's LPAD pathway, 
beginning with discharges on or after October 1, 2020, if the costs of 
a discharge involving a new technology (determined by applying CCRs as 
described in Sec.  412.84(h)) exceed the full DRG payment (including 
payments for IME and DSH, but excluding outlier payments), Medicare 
will make an add-on payment equal to the lesser of: (1) 75 percent of 
the costs of the new medical service or technology; or (2) 75 percent 
of the amount by which the costs of the case exceed the standard DRG 
payment. As set forth in Sec.  412.88(b)(2), unless the discharge 
qualifies for an outlier payment, the additional Medicare payment will 
be limited to the full MS-DRG payment plus 65 percent (or 75 percent 
for certain antimicrobial products (QIDPs and LPADs)) of the estimated 
costs of the new technology or medical service. We refer the reader to 
the FY 2020 IPPS/LTCH PPS final rule (84 FR 42297 through 42300) for 
further discussion on the increase in the new technology add-on payment 
beginning with discharges on or after October 1, 2019.
    As discussed in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69245 
through 69252), we finalized an increase in the new technology add-on 
payment percentage, reflected at Sec.  412.88(a)(2)(ii)(C) and 
(b)(2)(iv), that for certain gene therapies approved for new technology 
add-on payments in the FY 2025 IPPS/LTCH PPS final rule that are 
indicated and used specifically for the treatment of sickle cell 
disease (SCD), effective with discharges on or after October 1, 2024 
and concluding at the end of the 2- to 3-year newness period for such 
therapy, if the costs of a discharge (determined by applying CCRs as 
described in Sec.  [thinsp]412.84(h)) involving the use of such therapy 
for the treatment of SCD exceed the full DRG payment (including 
payments for IME and DSH, but excluding outlier payments), Medicare 
will make an add-on payment equal to the lesser of: (1) 75 percent of 
the costs of the new medical service or technology; or (2) 75 percent 
of the amount by which the costs of the case exceed the standard DRG 
payment. We noted that these payment amounts would only apply to 
CasgevyTM (exagamglogene autotemcel) and 
LyfgeniaTM (lovotibeglogene autotemcel), when indicated and 
used specifically for the treatment of SCD, which were approved for new 
technology add-on payments in the FY 2025 IPPS/LTCH PPS final rule (89 
FR 69128 through 69135, and 89 FR 69188 through 69196).
    We note that, consistent with the prospective nature of the IPPS, 
we finalize the new technology add on payment amount for technologies 
approved or conditionally approved for new technology add-on payments 
in the final rule for each fiscal year and do not make mid-year changes 
to new technology add-on payment amounts. Updated cost information may 
be submitted and included in rulemaking to be considered for the 
following fiscal year.
    Section 503(d)(2) of the MMA (Pub. L. 108-173) provides that there 
shall be no reduction or adjustment in aggregate payments under the 
IPPS due to add-on payments for new medical services and technologies. 
Therefore, in accordance with section 503(d)(2) of the MMA, add-on 
payments for new medical services or technologies for FY 2005 and 
subsequent years have not been subjected to budget neutrality.
d. Evaluation of Eligibility Criteria for New Medical Service or 
Technology Applications
    In the FY 2009 IPPS final rule (73 FR 48561 through 48563), we 
modified our regulation at Sec.  412.87 to codify our longstanding 
practice of how CMS evaluates the eligibility criteria for new medical 
service or technology add-on payment applications. That is, we first 
determine whether a medical service or technology meets the newness 
criterion, and only if so, do we then make a determination as to 
whether the technology meets the cost threshold and represents a 
substantial clinical improvement over existing medical services or 
technologies. We specified that all applicants for new technology add-
on payments must have FDA approval or clearance by July 1 of the year 
prior to the beginning of the fiscal year for which the application is 
being considered. In the FY 2021 IPPS/LTCH PPS final rule, to more 
precisely describe the various types of FDA approvals, clearances and 
classifications that we consider under our new technology add-on 
payment policy, we finalized a technical clarification to the 
regulation to indicate that new technologies must receive FDA marketing 
authorization 12 13 (such as pre-market approval (PMA); 
510(k) clearance; the granting of a De Novo classification request; or 
approval of a New Drug Application (NDA) or Biologics License 
Application (BLA)) by July 1 of the year prior to the beginning of the 
fiscal year for which the application is being considered (85 FR

[[Page 18085]]

58742). Consistent with our longstanding policy, we consider FDA 
marketing authorization as representing that a product has received FDA 
approval or clearance, or has been granted a De Novo classification 
request when considering eligibility for the new technology add-on 
payment.
---------------------------------------------------------------------------

    \12\ How to Study and Market Your Device https://www.fda.gov/medical-devices/device-advice-comprehensive-regulatory-assistance/how-study-and-market-your-device.
    \13\ Types of Applications https://www.fda.gov/drugs/how-drugs-are-developed-and-approved/types-applications.
---------------------------------------------------------------------------

    Additionally, in the FY 2021 IPPS/LTCH PPS final rule (85 FR 58739 
through 58742), we finalized our proposal to provide conditional 
approval for new technology add-on payment for a technology for which 
an application is submitted under the alternative pathway for certain 
antimicrobial products at Sec.  412.87(d) that does not receive FDA 
marketing authorization by July 1 prior to the particular fiscal year 
for which the applicant applied for new technology add-on payments, 
provided that the technology otherwise meets the applicable add-on 
payment criteria. Under this policy, cases involving eligible 
antimicrobial products would begin receiving the new technology add-on 
payment sooner, effective for discharges the quarter after the date of 
FDA marketing authorization, provided that the technology receives FDA 
marketing authorization before July 1 of the fiscal year for which the 
applicant applied for new technology add-on payments.
    As discussed in the FY 2024 IPPS/LTCH PPS final rule (88 FR 58948 
through 58958) and the FY 2025 IPPS/LTCH PPS final rule (89 FR 69242 
through 69245), beginning with the new technology add-on payment 
applications for FY 2025, for technologies that are not already FDA 
market authorized for the indication that is the subject of the new 
technology add-on payment application, applicants must have a complete 
and active FDA market authorization request at the time of new 
technology add-on payment application submission and must provide 
documentation of FDA acceptance (for a 510k application or De Novo 
Classification request) or filing (for a PMA, NDA, or BLA) to CMS at 
the time of application submission, consistent with the type of FDA 
marketing authorization application the applicant has submitted to FDA. 
See Sec.  412.87(e) and further discussion in the FY 2024 IPPS/LTCH PPS 
final rule (88 FR 58948 through 58958) and the FY 2025 IPPS/LTCH PPS 
final rule (89 FR 69242 through 69245). As we have discussed in prior 
rulemaking, we consider the application to be complete when the full 
application has been submitted to FDA and FDA has provided 
documentation to the applicant indicating that FDA has determined that 
the application is sufficiently complete to allow for substantive 
review by FDA. We recognize that FDA processes and documentation may 
change over time, and the acceptance or filing documentation may vary 
depending on the type of FDA marketing authorization application the 
applicant has submitted to FDA. For example, we understand that FDA 
considers submission of a 510(k) or De Novo Classification request to 
be accepted for substantive review after the completion of either a 
refuse to accept (RTA) review or a technical screening 
process.14 15 Submissions of 510(k) and De Novo 
Classification requests undergo a technical screening process when they 
are submitted to FDA using the electronic Submission Template And 
Resource (eSTAR) process; 510(k) and De Novo Classification requests 
that are not submitted via eSTAR undergo an RTA review. Accordingly, 
FDA provides applicants using eSTAR with a review assignment 
notification to indicate that FDA has completed its technical screening 
process and has determined that the application is sufficiently 
complete to allow for substantive review. Therefore, new technology 
add-on payment applicants that have submitted a 510(k) application or 
De Novo Classification request to FDA through eSTAR must submit a copy 
of the review assignment notification to CMS (at the time of new 
technology add-on payment application) to establish the application is 
sufficiently complete to allow for substantive review by the FDA. We 
note that PMAs submitted using eSTAR that complete technical screening 
will still undergo a subsequent filing review by FDA, after which an 
application is determined to be sufficiently complete to allow for 
substantive review; therefore, we continue to require documentation of 
FDA filing for these applications.
---------------------------------------------------------------------------

    \14\ FDA and Industry Actions on Premarket Notification (510(k)) 
Submissions: Effect on FDA Review Clock and Goals Guidance for 
Industry and Food and Drug Administration Staff Document issued on 
October 3, 2022. https://www.fda.gov/media/73507/download.
    \15\ FDA and Industry Actions on De Novo Classification 
Requests: Effect on FDA Review Clock and Goals Guidance for Industry 
and Food and Drug Administration Staff Document issued on October 3, 
2022. https://www.fda.gov/media/107652/download.
---------------------------------------------------------------------------

    In addition, we recognize that FDA does not conduct a new filing 
review for NDA or BLA applications that were the subject of a Complete 
Response Letter (CRL) and were subsequently resubmitted to FDA, even 
though resubmissions are considered a new review cycle.16 17 
Therefore, beginning with the new technology add-on applications 
submitted for FY 2027, these new technology add-on payment applicants 
must provide to CMS a copy of the resubmission acknowledgement letter 
from FDA that indicates that FDA considers the resubmission to be 
sufficient to restart a review clock and provides the new goal date for 
FDA review of the application. We further note that if there are other 
processes not described here, or if there are further changes to FDA's 
review processes, consistent with our policy, applicants must provide 
to CMS the most up-to-date documentation that indicates FDA has 
determined that the application is sufficiently complete to allow for 
substantive review by FDA.
---------------------------------------------------------------------------

    \16\ SOPP 8405.1: Procedures for Resubmissions to an Application 
or Supplement. Version: 8 Effective Date: November 13, 2022. https://www.fda.gov/media/84417/download.
    \17\ 21 CFR 314.110, Complete response letter to the applicant 
https://www.ecfr.gov/current/title-21/chapter-I/subchapter-D/part-314/subpart-D/section-314.110.
---------------------------------------------------------------------------

    In the FY 2024 IPPS/LTCH PPS final rule (88 FR 58948 through 
58958), we also finalized that, beginning with FY 2025 applications, in 
order to be eligible for consideration for the new technology add-on 
payment for the upcoming fiscal year, an applicant for new technology 
add-on payments must have received FDA marketing authorization by May 1 
(rather than July 1) of the year prior to the beginning of the fiscal 
year for which the application is being considered (except for an 
application that is submitted under the alternative pathway for certain 
antimicrobial products), as reflected at Sec.  412.87(f)(2) and (3), as 
amended and redesignated in the FY 2024 IPPS/LTCH PPS final rule (88 FR 
58948 through 58958, 88 FR 59331).
e. Pharmaceutical & Technology Ombudsman (PTO)
    Many interested parties (including device/biologic/drug developers 
or manufacturers, industry consultants, others) engage with CMS for 
coverage, coding, and payment questions or concerns. In order to 
streamline engagement by centralizing the different innovation pathways 
within CMS including new technology add-on payments, CMS utilizes the 
Pharmaceutical & Technology Ombudsman as an initial resource for 
interested parties. This Ombudsman is available to assist with all of 
the following:
     Help to point interested parties to or provide information 
and resources

[[Page 18086]]

where possible regarding process, requirements, and timelines.
     As necessary, coordinate and facilitate opportunities for 
interested parties to engage with various CMS components.
     Serve as a primary point of contact for interested parties 
and provide updates on developments where possible or appropriate.
    We receive many questions from parties interested in pursuing new 
technology add-on payments who may not be entirely familiar with 
working with CMS. While we encourage interested parties to first review 
our resources available at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/newtech, we know that there may 
be additional questions about the application process. Interested 
parties with further questions regarding Medicare's coverage, coding, 
and payment processes, and how they can navigate these processes, 
whether for new technology add-on payments or otherwise, should review 
the updated resource guide available at: https://www.cms.gov/medicare/coding-billing/guide-medical-technology-companies-other-interested-parties. Parties that would like to further discuss questions or 
concerns with CMS should contact the Pharmaceutical & Technology 
Ombudsman at [email protected].
f. Application Information for New Medical Services or Technologies
    Applicants for add-on payments for new medical services or 
technologies for FY 2027 must submit a formal request, including a full 
description of the clinical applications of the medical service or 
technology and the results of any clinical evaluations demonstrating 
that the new medical service or technology represents a substantial 
clinical improvement (unless the application is under one of the 
alternative pathways as previously described), along with a significant 
sample of data to demonstrate that the medical service or technology 
meets the high-cost threshold. CMS will review the application based on 
the information provided by the applicant under the pathway specified 
by the applicant at the time of application submission. Complete 
application information, along with final deadlines for submitting a 
full application, will be posted as it becomes available on the CMS 
website at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/newtech.html.
    To allow interested parties to identify the new medical services or 
technologies under review before the publication of the proposed rule 
for FY 2027, once the application deadline has closed, CMS will post on 
its website a list of the applications submitted, along with a brief 
description of each technology as provided by the applicant.
    As discussed in the FY 2023 IPPS/LTCH PPS final rule (87 FR 48986 
through 48990), we finalized our proposal to publicly post online new 
technology add-on payment applications, including the completed 
application forms, certain related materials, and any additional 
updated application information submitted subsequent to the initial 
application submission (except certain volume, cost and other 
information identified by the applicant as confidential), beginning 
with the application cycle for FY 2024, at the time the proposed rule 
is published. We also finalized that with the exception of information 
included in a confidential information section of the application, cost 
and volume information, and materials identified by the applicant as 
copyrighted or not otherwise releasable to the public, the contents of 
the application and related materials may be posted publicly, and that 
we will not post applications that are withdrawn prior to publication 
of the proposed rule. We refer the reader to the FY 2023 IPPS/LTCH PPS 
final rule (87 FR 48986 through 48990) for further information 
regarding this policy. Beginning with the new technology add-on 
applications submitted for FY 2027, we intend to include certain cost 
criterion information in this public posting; however, consistent with 
our current policy, cost and volume information will not be publicly 
posted. Consistent with current practice, certain cost and volume 
information may still be summarized and discussed in the proposed rule, 
but we intend to provide more succinct information as part of the 
summaries in the proposed and final rules regarding the applicant's 
assertions as to how the medical service or technology meets the cost 
criterion. Specifically, beginning with the FY 2027 applications, the 
public posting will include the applicant's explanation of the cost 
analysis methodology, including the step-by-step explanation of the 
columns used in the cost analysis spreadsheet attachment, any optional 
comments provided by the applicant, and information about the case 
weighted threshold and final inflated case weighted standardized charge 
per case, as is currently subject to discussion in the cost criterion 
analysis for each eligible application in the proposed rule. The cost 
analysis spreadsheet attachment and other charge values provided in the 
applicant's responses would not be included in the public posting. We 
believe that including the described cost criterion information in the 
public posting will further improve and streamline our evaluation 
process, while also further supporting transparency and engagement with 
interested parties.
    We note that the burden associated with this information collection 
requirement is the time and effort required to collect and submit the 
data in the formal request for add-on payments for new medical services 
and technologies to CMS. The aforementioned burden is subject to the 
PRA and approved under OMB control number 0938-1347 and has an 
expiration date of December 31, 2026.
2. Public Input Before Publication of a Notice of Rulemaking on Add-On 
Payments
    Section 1886(d)(5)(K)(viii) of the Act, as amended by section 
503(b)(2) of the MMA, provides for a mechanism for public input before 
publication of a notice of proposed rulemaking regarding whether a 
medical service or technology represents a substantial clinical 
improvement. The process for evaluating new medical service and 
technology applications requires the Secretary to do all of the 
following:
     Provide, before publication of a proposed rule, for public 
input regarding whether a new service or technology represents an 
advance in medical technology that substantially improves the diagnosis 
or treatment of Medicare beneficiaries.
     Make public and periodically update a list of the services 
and technologies for which applications for add-on payments are 
pending.
     Accept comments, recommendations, and data from the public 
regarding whether a service or technology represents a substantial 
clinical improvement.
     Provide, before publication of a proposed rule, for a 
meeting at which organizations representing hospitals, physicians, 
manufacturers, and any other interested party may present comments, 
recommendations, and data regarding whether a new medical service or 
technology represents a substantial clinical improvement to the 
clinical staff of CMS.
    In order to provide an opportunity for public input regarding add-
on payments for new medical services and

[[Page 18087]]

technologies for FY 2026 prior to publication of the FY 2026 IPPS/LTCH 
PPS proposed rule, we published a notice in the September 13, 2024, 
Federal Register (89 FR 74962) and held a virtual town hall meeting on 
December 11, 2024. In the announcement notice for the meeting, we 
stated that the opinions and presentations provided during the meeting 
would assist us in our evaluations of applications by allowing public 
discussion of the substantial clinical improvement criterion for the FY 
2026 new medical service and technology add-on payment applications 
before the publication of the FY 2026 IPPS/LTCH PPS proposed rule.
    Approximately 200 individuals attended the virtual town hall 
meeting. We posted the recordings of the virtual town hall on the CMS 
web page at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/newtech. We considered each applicant's 
presentation made at the town hall meeting, as well as written comments 
received by the December 16, 2024, deadline, in our evaluation of the 
new technology add-on payment applications for FY 2026 in the 
development of the FY 2026 IPPS/LTCH PPS proposed rule. In response to 
the published notice and the December 11, 2024, New Technology Town 
Hall meeting, we received written comments regarding the applications 
for FY 2026 new technology add on payments. As explained earlier and in 
the Federal Register notice announcing the New Technology Town Hall 
meeting (89 FR 74962 through 74964), the purpose of the meeting was 
specifically to discuss the substantial clinical improvement criterion 
with regard to pending new technology add-on payment applications for 
FY 2026. Therefore, we are not summarizing any written comments in this 
proposed rule that are unrelated to the substantial clinical 
improvement criterion. In section II.E.5. of the preamble of this 
proposed rule, we summarize comments regarding individual applications, 
or, if applicable, indicate that there were no comments received in 
response to the New Technology Town Hall meeting notice or New 
Technology Town Hall meeting, at the end of each discussion of the 
individual applications.
3. ICD-10-PCS Section ``X'' Codes for Certain New Medical Services and 
Technologies
    As discussed in the FY 2016 IPPS/LTCH PPS final rule (80 FR 49434), 
the ICD-10-PCS includes a new section containing the new Section ``X'' 
codes, which began being used with discharges occurring on or after 
October 1, 2015. Decisions regarding changes to ICD-10-PCS Section 
``X'' codes will be handled in the same manner as the decisions for all 
of the other ICD-10-PCS code changes. That is, proposals to create, 
delete, or revise Section ``X'' codes under the ICD-10-PCS structure 
will be referred to the ICD-10 Coordination and Maintenance Committee. 
In addition, several of the new medical services and technologies that 
have been, or may be, approved for new technology add-on payments may 
now, and in the future, be assigned a Section ``X'' code within the 
structure of the ICD-10-PCS. We posted ICD-10-PCS Guidelines on the CMS 
website at: https://www.cms.gov/medicare/coding-billing/icd-10-codes, 
including guidelines for ICD-10-PCS Section ``X'' codes. We encourage 
providers to view the material provided on ICD-10-PCS Section ``X'' 
codes.
4. Proposed FY 2026 Status of Technologies Receiving New Technology 
Add-On Payments for FY 2025
    In this section of the proposed rule, we discuss the proposed FY 
2026 status of 42 technologies approved for 39 new technology add-on 
payments for FY 2025, as set forth in the tables that follow. 
Specifically, we present our proposals to continue the new technology 
add-on payments for FY 2026 for those technologies that were approved 
for the new technology add-on payment for FY 2025, and which are still 
considered ``new'' for purposes of new technology add-on payments for 
FY 2026. We also present our proposals to discontinue new technology 
add-on payments for FY 2026 for those technologies that were approved 
for the new technology add-on payment for FY 2025, and which are no 
longer considered ``new'' for purposes of new technology add-on 
payments for FY 2026.
    Our policy is that a medical service or technology may continue to 
be considered ``new'' for purposes of new technology add-on payments 
within 2 or 3 years after the point at which data begin to become 
available reflecting the inpatient hospital code assigned to the new 
service or technology. Our practice has been to begin and end new 
technology add-on payments on the basis of a fiscal year, and we have 
generally followed a guideline that uses a 6-month window before and 
after the start of the fiscal year to determine whether to extend the 
new technology add-on payment for an additional fiscal year, and, in 
general, we have extended new technology add-on payments for an 
additional year only if the 3-year anniversary date of the product's 
entry onto the U.S. market occurs in the latter half of the fiscal year 
(70 FR 47362).
    As discussed in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69238 
through 69242), we finalized that, beginning with new technology add-on 
payments for FY 2026, in assessing whether to continue the new 
technology add-on payments for those technologies that are first 
approved for new technology add-on payments in FY 2025 or a subsequent 
year, we will extend new technology add-on payments for an additional 
fiscal year when the 3-year anniversary date of the product's entry 
onto the U.S. market occurs on or after October 1 of that fiscal year. 
This change is effective beginning with those technologies that are 
initially approved for new technology add-on payments in FY 2025 or a 
subsequent year. For technologies that were first approved for new 
technology add-on payments prior to FY 2025, including for technologies 
we determine to be substantially similar to those technologies, we 
continue to use the midpoint of the upcoming fiscal year (April 1) when 
determining whether a technology would still be considered ``new'' for 
purposes of new technology add-on payments.
    Table II.E-01.A lists the technologies that were first approved for 
new technology add-on payments prior to FY 2025, for which we are 
proposing to continue making new technology add-on payments for FY 2026 
because they are still considered ``new'' for purposes of new 
technology add-on payments because the 3-year anniversary date of the 
product's entry onto the U.S. market occurs on or after April 1, 2026. 
This table also presents the newness start date, new technology add-on 
payment start date, 3-year anniversary date of the product's entry onto 
the U.S. market, relevant final rule citations from prior fiscal years, 
proposed maximum add-on payment amount, and coding assignments for each 
technology. We refer readers to the cited final rules in the following 
table for a complete discussion of the new technology add-on payment 
application, coding, and payment amount for these technologies, 
including the applicable indications and discussion of the newness 
start date.
    Table II.E-01.B lists the technologies that were first approved for 
new technology add-on payments in FY 2025, for which we are proposing 
to continue making new technology add-on payments for FY 2026 because 
they are still considered ``new'' for purposes of new technology add-on 
payments because the 3-year anniversary date of

[[Page 18088]]

the product's entry onto the U.S. market occurs on or after October 1, 
2025. This table also presents the newness start date, new technology 
add-on payment start date, 3-year anniversary date of the product's 
entry onto the U.S. market, relevant final rule citations from prior 
fiscal years, proposed maximum add-on payment amount, and coding 
assignments for each technology. We refer readers to the cited final 
rules in the following table for a complete discussion of the new 
technology add-on payment application, coding, and payment amount for 
these technologies, including the applicable indications and discussion 
of the newness start date.
    We are inviting public comments on our proposals to continue new 
technology add-on payments for FY 2026 for the technologies listed in 
Tables II.E.-01.A and II.E.-01.B.

Table II.E.-01.A--Proposed Continuation of Technologies Approved for FY 2025 New Technology Add-On Payments Still Considered New for FY 2026 Because the
                                              3-Year Anniversary Date Will Occur on or After April 1, 2026
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                      3-Year
                                                                    anniversary                                  Proposed
              Technology                  Newness     NTAP start  date of  entry     Previous final rule       maximum NTAP     Coding used to identify
                                         start date      date       onto  U.S.            citations           amount for  FY    cases  eligible for NTAP
                                                                      market                                       2026
--------------------------------------------------------------------------------------------------------------------------------------------------------
1. CYTALUX[supreg] (pafolacianine)       06/05/2023   10/01/2023      06/05/2026  88 FR 58810 through 58818         $2,762.50  8E0W0EN, 8E0W3EN,
 (lung indication).                                                               89 FR 69120 through 69126                     8E0W4EN, 8E0W7EN, or
                                                                                                                                8E0W8EN.
2. EPKINLYTM (epcoritamab-bysp) and      05/19/2023   10/01/2023      05/19/2026  88 FR 58818 through 58835          6,504.07  XW013S9, XW033P9, or
 COLUMVITM (glofitamab-gxbm).                                                     89 FR 69120 through 69126                     XW043P9.
3. AveirTM AR Leadless Pacemaker......   06/29/2023   10/01/2023      06/29/2026  88 FR 58919 through 58923         10,725.00  X2H63V9.
                                                                                  89 FR 69120 through 69126
4. AveirTM Dual-Chamber Leadless         06/29/2023   10/01/2023      06/29/2026  88 FR 58923 through 58925         15,600.00  X2H63V9 in combination
 Pacemaker.                                                                       89 FR 69120 through 69126                     with X2HK3V9.
5. Ceribell Status Epilepticus Monitor   05/23/2023   10/01/2023      05/23/2026  88 FR 58927 through 58930            913.90  XX20X89.
                                                                                  89 FR 69120 through 69126
6. DETOUR System......................   06/07/2023   10/01/2023      06/07/2026  88 FR 58930 through 58932         16,250.00  X2KH3D9, X2KH3E9,
                                                                                  89 FR 69120 through 69126                     X2KJ3D9, or X2KJ3E9.
7. DefenCath[supreg] (taurolidine/       11/15/2023   01/01/2024      11/15/2026  88 FR 58942 through 58944          3,656.10  XY0YX28.
 heparin).                                                                        89 FR 69120 through 69126
8. Phagenyx[supreg] System............   04/12/2023   10/01/2023      04/12/2026  88 FR 58935 through 58937          3,250.00  XWHD7Q7.
                                                                                  89 FR 69120 through 69126
9. REZZAYOTM (rezafungin for             07/19/2023   10/01/2023      07/19/2026  88 FR 58944 through 58946          4,387.50  XW033R9 or XW043R9.
 injection).                                                                      89 FR 69120 through 69126
10. TOPSTM System.....................   06/15/2023   10/01/2023      06/15/2026  88 FR 58940 through 58942         11,375.00  XRHB018 in combination
                                                                                  89 FR 69120 through 69126                     with M48.062.
11. XACDURO[supreg] (sulbactam/          05/23/2023   10/01/2023      05/23/2026  88 FR 58946 through 58948         13,680.00  XW033K9 or XW043K9 in
 durlobactam).                                                                    89 FR 69120 through 69126                     combination with one of
                                                                                                                                the following: Y95 and
                                                                                                                                J15.61; OR J95.851 and
                                                                                                                                B96.83.
--------------------------------------------------------------------------------------------------------------------------------------------------------


Table II.E.-01.B--Proposed Continuation of Technologies Approved for FY 2025 New Technology Add-On Payments Still Considered New for FY 2026 Because the
                                             3-Year Anniversary Date Will Occur on or After October 1, 2025
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                      3-Year
                                                                    anniversary                                  Proposed
              Technology                  Newness     NTAP start  date of  entry     Previous final rule       maximum NTAP     Coding used to identify
                                         start date      date       onto  U.S.            citations           amount for  FY    cases  eligible for NTAP
                                                                      market                                       2026
--------------------------------------------------------------------------------------------------------------------------------------------------------
1. Annalise Enterprise CTB Triage--OH.   10/10/2023   10/01/2024      10/10/2026  89 FR 69205 through 69208           $241.39  XXE0X1A.
2. ASTar[supreg] System...............   04/26/2024   10/01/2024      04/26/2027  89 FR 69208 through 69210             97.50  XXE5X2A.
3. Edwards EVOQUETM Tricuspid Valve      02/01/2024   10/01/2024      02/01/2027  89 FR 69210 through 69213         31,850.00  X2RJ3RA.
 Replacement System (``EVOQUETM
 System'').

[[Page 18089]]

 
4. GORE[supreg] EXCLUDER[supreg]         01/12/2024   10/01/2024      01/12/2027  89 FR 69213 through 69215         47,238.75  X2VE3SA.
 Thoracoabdominal Branch
 Endoprosthesis (TAMBE Device).
5. LimFlowTM System...................   11/01/2023   10/01/2024      11/01/2026  89 FR 69215 through 69218         16,250.00  041M3JS, 041N3JS,
                                                                                                                                041P3JS, 041Q3JS,
                                                                                                                                041R3JS, 041S3JS,
                                                                                                                                041T3JS, or 041U3JS.
6. ParadiseTM Ultrasound Renal            11/7/2023   10/01/2024      11/07/2026  89 FR 69218 through 69221         14,950.00  X051329.
 Denervation System.
7. PulseSelectTM Pulsed Field Ablation   12/13/2023   10/01/2024      12/13/2026  89 FR 69221 through 69225          6,337.50  02583ZF.
 (PFA) Loop Catheter.
8. Symplicity SpyralTM Multi-Electrode   11/17/2023   10/01/2024      11/17/2026  89 FR 69225 through 69228         10,400.00  X05133A.
 Renal Denervation Catheter.
9. TriClipTM G4.......................   04/01/2024   10/01/2024      04/01/2027  89 FR 69228 through 69230         26,000.00  02UJ3JZ.
10. VADER[supreg] Pedicle System......   02/26/2024   10/01/2024      02/26/2027  89 FR 69230 through 69236         28,242.50  XRH60FA, XRH63FA,
                                                                                                                                XRH64FA, XRH70FA,
                                                                                                                                XRH73FA, XRH74FA,
                                                                                                                                XRH80FA, XRH83FA,
                                                                                                                                XRH84FA, XRHA0FA,
                                                                                                                                XRHA3FA, XRHA4FA,
                                                                                                                                XRHB0FA, XRHB3FA,
                                                                                                                                XRHB4FA, XRHC0FA,
                                                                                                                                XRHC3FA, XRHC4FA,
                                                                                                                                XRHD0FA, XRHD3FA, or
                                                                                                                                XRHD4FA in combination
                                                                                                                                with one of the
                                                                                                                                following: M46.20,
                                                                                                                                M46.22, M46.23, M46.24,
                                                                                                                                M46.25, M46.26, M46.27,
                                                                                                                                M46.30, M46.32, M46.33,
                                                                                                                                M46.34, M46.35, M46.36,
                                                                                                                                M46.37, M46.39, M46.40,
                                                                                                                                M46.42, M46.43, M46.44,
                                                                                                                                M46.45, M46.46, M46.47,
                                                                                                                                M46.49, M46.50, M46.51,
                                                                                                                                M46.52, M46.53, M46.54,
                                                                                                                                M46.55, M46.56, M46.57,
                                                                                                                                M46.59, M46.80, M46.82,
                                                                                                                                M46.83, M46.84, M46.85,
                                                                                                                                M46.86, M46.87, M46.89,
                                                                                                                                M46.90, M46.92, M46.93,
                                                                                                                                M46.94, M46.95, M46.96,
                                                                                                                                M46.97, or M46.99.
11. ZEVTERATM (ceftobiprole              04/03/2024   10/01/2024      04/03/2027  89 FR 69236 through 69238          2,812.50  XW0335A or XW0435A.
 medocaril); ABSSSI and CABP
 indications.
12. ZEVTERATM (ceftobiprole              04/03/2024   10/01/2024      04/03/2027  89 FR 69236 through 69238          8,625.00  XW0335A or XW0435A in
 medocaril); SAB indication.                                                                                                    combination with R78.81
                                                                                                                                (in combination with
                                                                                                                                B95.61 or B95.62).
13. CASGEVYTM (exagamglogene             12/08/2023   10/01/2024      12/08/2026  89 FR 69128 through 69135      1,650,000.00  XW133J8 or XW143J8 in
 autotemcel); Sickle Cell Disease                                                                                               combination with one of
 indication.                                                                                                                    the following: D57.1,
                                                                                                                                D57.20, D57.40, D57.42,
                                                                                                                                D57.44, or D57.80.
14. HEPZATOTM KIT (melphalan for         01/08/2024   10/01/2024      01/08/2027  89 FR 69158 through 69170        118,625.00  XW053T9 in combination
 injection/hepatic delivery system).                                                                                            with 5A1C00Z.
15. LYFGENIATM (lovotibeglogene          12/08/2023   10/01/2024      12/08/2026  89 FR 69188 through 69196      2,325,000.00  XW133H9 or XW143H9.
 autotemcel).
--------------------------------------------------------------------------------------------------------------------------------------------------------

    Table II.E.-02 lists the technologies that were first approved for 
new technology add-on payments prior to FY 2025, including technologies 
determined to be substantially similar to such technologies, for which 
we are proposing to discontinue making new technology add-on payments 
for FY 2026 because they are no longer ``new'' for purposes of new 
technology add-on payments because the 3-year anniversary date of the 
product's entry onto the U.S. market occurs before April 1, 2026. This 
table also presents the newness start date, new technology add-on 
payment start date, the 3-year anniversary date of the product's entry 
onto the U.S. market, and relevant final rule citations from prior 
fiscal years. We refer readers to the cited final rules in the 
following table for a complete discussion of each new technology add-on 
payment application and the coding and payment amount for these 
technologies, including the applicable indications and discussion of 
the newness start date.

[[Page 18090]]

    As discussed in section II.E.6. of the preamble of this proposed 
rule, BONESUPPORT, Inc. is also seeking new technology add-on payments 
for CERAMENT[supreg] G for FY 2026 for use in defects in the 
extremities of skeletally mature patients as an adjunct to systemic 
antibiotic therapy and surgical debridement as part of the standard 
treatment approach to open fractures. As discussed in the FY 2023 IPPS/
LTCH PPS final rule (87 FR 48961 through 48966), CERAMENT[supreg] G was 
approved for new technology add-on payments with an indication for use 
as a bone void filler in skeletally mature patients as an adjunct to 
systemic antibiotic therapy and surgical debridement (standard 
treatment approach to a bone infection) as part of the surgical 
treatment of osteomyelitis in defects in the extremities. For this 
proposed rule, we are proposing to discontinue new technology add-on 
payments for FY 2026 for CERAMENT[supreg] G when used for bone 
infections, as the technology will no longer be considered new for this 
indication. We believe cases involving the use of CERAMENT[supreg] G 
related to bone infections, which would no longer be eligible for new 
technology add-on payment in FY 2026, would be identified by the ICD-
10-PCS code XW0V0P7 (Introduction of antibiotic-eluting bone void 
filler into bones, open approach, new technology group 7) in 
combination with the ICD-10-CM codes in category M86 (Osteomyelitis). 
We are inviting public comments on the use of these codes to exclude 
the indication for use of CERAMENT[supreg] G related to bone 
infections, which would not be eligible for the new technology add-on 
payment for FY 2026, if approved.
    We are inviting public comments on our proposals to discontinue new 
technology add-on payments for FY 2026 for the technologies listed in 
Table II.E.-02 of the preamble of this proposed rule.
---------------------------------------------------------------------------

    \18\ As discussed in the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69149 through 69155), we determined that ELREXFIOTM 
(elranatamab-bcmm) and TALVEYTM (talquetamab-tgvs) were 
substantially similar to TECVAYLI[supreg] (teclistamab-cqyv), which 
was first approved for new technology add-on payment in the FY 2024 
IPPS/LTCH PPS final rule (88 FR 58885 through 58891). In accordance 
with our policy, because these technologies are substantially 
similar to each other, we use the earliest market availability date 
submitted as the beginning of the newness period for these 
technologies, November 9, 2022, the date TECVAYLI[supreg] became 
commercially available. As discussed previously in this section, for 
technologies that were first approved for new technology add-on 
payments prior to FY 2025, including for technologies we determine 
to be substantially similar to those technologies, we continue to 
use the midpoint of the upcoming fiscal year (April 1) when 
determining whether a technology would still be considered ``new'' 
for purposes of new technology add-on payments.

 Table II.E.-02--Proposed Discontinuation of Technologies Approved for FY 2025 New Technology Add-On Payments No
       Longer Considered New for FY 2026 Because 3-Year Anniversary Date Will Occur Prior to April 1, 2026
----------------------------------------------------------------------------------------------------------------
                                                                            3-Year
                                                                          anniversary
              Technology                 Newness start    NTAP start    date of  entry     Previous final rule
                                             date            date         onto  U.S.            citations
                                                                            market
----------------------------------------------------------------------------------------------------------------
1. ThoraflexTM Hybrid Device..........      04/19/2022      10/01/2022      04/19/2025  87 FR 48974 through
                                                                                         48975.
                                                                                        88 FR 58800.
                                                                                        89 FR 69120 through
                                                                                         69126.
2. ViviStim[supreg] Paired VNS System.      04/29/2022      10/01/2022      04/29/2025  87 FR 48975 through
                                                                                         48977.
                                                                                        88 FR 58800.
                                                                                        89 FR 69120 through
                                                                                         69126.
3. GORE[supreg] TAG[supreg] Thoracic        05/13/2022      10/01/2022      05/13/2025  87 FR 48966 through
 Branch Endoprosthesis.                                                                  48969.
                                                                                        88 FR 58800.
                                                                                        89 FR 69120 through
                                                                                         69126.
4. CERAMENT[supreg] G (bone infection       05/17/2022      10/01/2022      05/17/2025  87 FR 48961 through
 indication).                                                                            48966.
                                                                                        88 FR 58800.
                                                                                        89 FR 69120 through
                                                                                         69126.
5. iFuse Bedrock Granite Implant            05/26/2022      10/01/2022      05/26/2025  87 FR 48969 through
 System.                                                                                 48974.
                                                                                        88 FR 58800.
                                                                                        89 FR 69120 through
                                                                                         69126.
6. CYTALUX[supreg] (pafolacianine)          04/15/2022      10/01/2023      04/15/2025  88 FR 58804 through
 (ovarian indication).                                                                   58810.
                                                                                        89 FR 69120 through
                                                                                         69126.
7. LunsumioTM (mosunetuzumab).........      12/22/2022      10/01/2023      12/22/2025  88 FR 58835 through
                                                                                         58845.
                                                                                        89 FR 69120 through
                                                                                         69126.
8. REBYOTATM (fecal microbiota, live-       01/23/2023      10/01/2023      01/23/2026  88 FR 58848 through
 jslm) and VOWSTTM (fecal microbiota                                                     58868.
 spores, live-brpk).                                                                    89 FR 69120 through
                                                                                         69126.
9. SPEVIGO[supreg] (spesolimab).......      09/01/2022      10/01/2023      09/01/2025  88 FR 58879 through
                                                                                         58885.
                                                                                        89 FR 69120 through
                                                                                         69126.
10. TECVAYLITM (teclistamab-cqyv).....      11/09/2022      10/01/2023      11/09/2025  88 FR 58885 through
 ELREXFIOTM (elranatamab-bcmm) and                         \18\ 10/01/                   58891.
 TALVEYTM (talquetamab-tgvs).                                     2024                  89 FR 69120 through
                                                                                         69126.
                                                                                        89 FR 69149 through
                                                                                         69155.
11. TERLIVAZ[supreg] (terlipressin)...      10/14/2022      10/01/2023      10/14/2025  88 FR 58891 through
                                                                                         58906.
                                                                                        89 FR 69120 through
                                                                                         69126.
12. EchoGo Heart Failure 1.0..........      11/23/2022      10/01/2023      11/23/2025  88 FR 58932 through
                                                                                         58935.
                                                                                        89 FR 69120 through
                                                                                         69126.
13. SAINT Neuromodulation System......      09/01/2022      10/01/2023      09/01/2025  88 FR 58937 through
                                                                                         58939.
                                                                                        89 FR 69120 through
                                                                                         69126.
----------------------------------------------------------------------------------------------------------------

5. Proposed FY 2026 Applications for New Technology Add-On Payments 
(Traditional Pathway)
    As discussed previously, in the FY 2023 IPPS/LTCH PPS final rule, 
we finalized our policy to publicly post online applications for new 
technology add-on payment beginning with FY 2024 applications (87 FR 
48986 through 48990). As noted in the FY 2023 IPPS/LTCH PPS final rule, 
we are continuing to summarize each application in this proposed rule. 
However, while we are continuing to provide discussion of the concerns 
or issues we identified with respect to applications submitted under 
the traditional pathway, we are providing more succinct information as 
part of the summaries in the proposed and final rules regarding the 
applicant's

[[Page 18091]]

assertions as to how the medical service or technology meets the 
newness, cost, and substantial clinical improvement criteria. We refer 
readers to https://mearis.cms.gov/public/publications/ntap for the 
publicly posted FY 2026 new technology add-on payment applications and 
supporting information (with the exception of certain cost and volume 
information, and information or materials identified by the applicant 
as confidential or copyrighted), including tables listing the ICD-10-CM 
codes, ICD-10-PCS codes, and/or MS-DRGs related to the analyses of the 
cost criterion for certain technologies for the FY 2026 new technology 
add-on payment applications.
    We received 19 applications for new technology add-on payments for 
FY 2026 under the new technology add-on payment traditional pathway. In 
accordance with the regulations under Sec.  412.87(f), applicants for 
FY 2026 new technology add-on payments must have received FDA marketing 
authorization by May 1 of the year prior to the beginning of the fiscal 
year for which the application is being considered. As discussed in the 
FY 2024 IPPS/LTCH PPS final rule (88 FR 58948 through 58958) and the FY 
2025 IPPS/LTCH PPS final rule (89 FR 69242 through 69245), we finalized 
that beginning with the new technology add-on payment applications for 
FY 2025, for technologies that are not already FDA market authorized 
for the indication that is the subject of the new technology add-on 
payment application, applicants must have a complete and active FDA 
market authorization request at the time of new technology add-on 
payment application submission and must provide documentation of FDA 
acceptance or filing to CMS at the time of application submission, 
consistent with the type of FDA marketing authorization application the 
applicant has submitted to FDA. See Sec.  412.87(e) and further 
discussion in the FY 2024 and FY 2025 IPPS/LTCH PPS final rules (88 FR 
58948 through 58958, 89 FR 69242 through 69245). Of the 19 applications 
received under the traditional pathway, 2 applicants were not eligible 
for consideration for new technology add-on payment because they did 
not meet these requirements, and 3 applicants withdrew their 
applications prior to the issuance of this proposed rule. We are 
addressing the remaining 14 applications.
a. AUCATZYL[supreg] (Obecabtagene Autoleucel)
    Autolus Therapeutics, Inc. submitted an application for new 
technology add-on payments for AUCATZYL[supreg] for FY 2026. According 
to the applicant, AUCATZYL[supreg] is a fast off-rate cluster of 
differentiation 19 (CD19) autologous chimeric antigen receptor (CAR) T-
cell therapy with tumor burden-guided dosing designed to improve 
persistence and reduce immune-mediated toxicity. Per the applicant, 
AUCATZYL[supreg] is indicated for the treatment of adults with relapsed 
or refractory (R/R) B-cell precursor acute lymphoblastic leukemia (B-
ALL).
    Please refer to the online application posting for 
AUCATZYL[supreg], available at https://mearis.cms.gov/public/publications/ntap/NTP241002GUJHV, for additional detail describing the 
technology and the disease treated by the technology.
    With respect to the newness criterion, according to the applicant, 
AUCATZYL[supreg] was granted BLA approval from FDA on November 8, 2024, 
for the treatment of adults with R/R B-ALL. According to the applicant, 
AUCATZYL[supreg] was commercially available immediately after FDA 
approval. The applicant stated that a single treatment of 
AUCATZYL[supreg] consists of two intravenous infusions (given on Day 1 
and Day 10 [2]) administered via a syringe or gravity-
assisted infusion through a central or peripheral venous line over a 
few minutes. Per the applicant, each infusion is packaged in three or 
more infusion bags containing a cell dispersion of the target tumor 
burden-guided dose of 410 x 10\6\ CD19 CAR-positive viable T cells.\19\
---------------------------------------------------------------------------

    \19\ The applicant stated that the first dose, infused on Day 1, 
is determined by the patient's bone marrow disease burden within 7 
days prior to lymphodepletion, and the second dose, infused on Day 
10 [2], is tailored for a total dose of 410 x 10\6\ CAR 
T cells to complete the single treatment of AUCATYZL[supreg].
---------------------------------------------------------------------------

    The applicant stated that, effective October 1, 2024, the following 
ICD-10-PCS codes may be used to uniquely describe procedures involving 
the use of AUCATZYL:[supreg] XW0338A (Introduction of obecabtagene 
autoleucel into peripheral vein, percutaneous approach, new technology 
group 10) or XW0438A (Introduction of obecabtagene autoleucel into 
central vein, percutaneous approach, new technology group 10). The 
applicant stated that C91.00 (Acute lymphoblastic leukemia not having 
achieved remission), C91.01 (Acute lymphoblastic leukemia, in 
remission), or C91.02 (Acute lymphoblastic leukemia, in relapse) may be 
used to currently identify the R/R B-ALL indication for 
AUCATZYL[supreg] under the ICD-10-CM coding system.
    As previously discussed, if a technology meets all three of the 
substantial similarity criteria under the newness criterion, it would 
be considered substantially similar to an existing technology and would 
not be considered ``new'' for the purpose of new technology add-on 
payments.
    With respect to the substantial similarity criteria, the applicant 
asserted that AUCATZYL[supreg] is not substantially similar to other 
currently available technologies because it has a distinct immune-
modulating mechanism of action and first-in-class tumor burden-guided 
dosing indicated for the treatment of adults with R/R B-ALL, and that 
therefore, the technology meets the newness criterion. More 
specifically, the applicant asserted that AUCATZYL[supreg] is the only 
CAR T-cell therapy constructed using the differentiated 4-1BB co-
stimulatory domain with a novel, proprietary low affinity, fast off-
rate CAT19 binding domain, and tumor burden-guided dosing. The 
following table summarizes the applicant's assertions regarding the 
substantial similarity criteria. Please see the online application 
posting for AUCATZYL[supreg] for the applicant's complete statements in 
support of its assertion that AUCATZYL[supreg] is not substantially 
similar to other currently available technologies.

[[Page 18092]]



--------------------------------------------------------------------------------------------------------------------------------------------------------
       Substantial similarity criteria                Applicant response                      Applicant assertions regarding this criterion
--------------------------------------------------------------------------------------------------------------------------------------------------------
Does the technology use the same or similar    No..............................  AUCATZYL[supreg] is not substantially similar to currently available T-
 mechanism of action to achieve a therapeutic                                     cell therapies indicated for the treatment of adult R/R B-ALL,
 outcome?                                                                         specifically TECARTUS[supreg] (brexucabtagene autoleucel), the only
                                                                                  currently available CD19 CAR T-cell therapy for this population.
                                                                                  Specifically, AUCATZYL[supreg] is designed to model physiological T-
                                                                                  cell activation, and its CAR is constructed using the differentiated 4-
                                                                                  1BB co-stimulatory domain along with a proprietary and unique CAT19
                                                                                  binding domain, specifically designed to improve potency and
                                                                                  persistence and to reduce immune-mediated toxicity. Shorter cell-cell
                                                                                  contact resulting from the >40-fold lower affinity of CAT19 (off-rate
                                                                                  of 3.7 minutes) compared with the FMC63 antigen-binding domain (off-
                                                                                  rate of 2.8 hours) used in currently available CAR T-cell therapy,
                                                                                  including TECARTUS[supreg], serves to reduce cytokine release and
                                                                                  toxicity, reduces CAR T-cell exhaustion and enhances CAR T-cell
                                                                                  persistence. The 4-1BB co-stimulatory domain is also highly
                                                                                  differentiated from the CD28 co-stimulatory domain used in
                                                                                  TECARTUS[supreg]; the 4-1BB distinct signaling pathway results in
                                                                                  lower T-cell activation, increased mitochondrial biogenesis, greater
                                                                                  oxidative metabolism, and sustained CAR T-cell persistence.
                                                                                  AUCATZYL[supreg] is also specifically designed to follow a manageable,
                                                                                  personalized tumor burden-guided dosing schedule to proactively
                                                                                  mitigate risk of cytokine release syndrome (CRS) and immune effector
                                                                                  cell-associated neurotoxicity syndrome (ICANS), addressing the
                                                                                  potential for toxicity in older patients and for consideration of
                                                                                  patients with higher disease burden. The first-in-class tumor burden-
                                                                                  guided dosing of AUCATZYL[supreg] tailors administration based on the
                                                                                  individual patient's disease burden and corresponding immunotoxicity
                                                                                  risk and supports maximal control for the treating physician, while
                                                                                  minimizing immune-related toxicities and maximizing treatment effect.
Is the technology assigned to the same MS-DRG  Yes.............................  CMS has made the determination that ICD-10-PCS procedure codes
 as existing technologies?                                                        identifying all CAR T-cell therapies will map to Pre-MDC MS-DRG 018
                                                                                  (Chimeric antigen receptor (CAR) T-cell and other immunotherapies),
                                                                                  including previously approved TECARTUS[supreg] indicated for adult R/R
                                                                                  B-ALL. Patient claims for adult R/R B-ALL patients where
                                                                                  AUCATZYL[supreg] is administered will also be mapped to Pre-MDC MS-DRG
                                                                                  018 and will be identified by unique, AUCATZYL[supreg]-specific ICD-10-
                                                                                  PCS codes which have been approved by CMS with an effective date of
                                                                                  October 1, 2024.
Does new use of the technology involve the     Yes.............................  Inpatient cases involving adults with r/r B-ALL are identified by
 treatment of the same/similar type of                                            existing ICD-10-CM diagnosis codes C91.00 (Acute lymphoblastic
 disease and the same/similar patient                                             leukemia not having achieved remission), C91.01 (Acute lymphoblastic
 population when compared to an existing                                          leukemia, in remission), and C91.02 (Acute lymphoblastic leukemia, in
 technology?                                                                      relapse). These same ICD-10-CM diagnosis codes will identify adult R/R
                                                                                  B-ALL patient types eligible for treatment with AUCATZYL[supreg],
                                                                                  where the inpatient claims will be identified by unique
                                                                                  AUCATZYL[supreg] ICD-10-PCS codes, XW0338A or XW0438A, effective
                                                                                  October 1, 2024. Importantly, the eligible patient population for
                                                                                  treatment with AUCATZYL[supreg] is expected to be expanded because of
                                                                                  the substantial clinical benefits of its highly differentiated immune-
                                                                                  modulating mechanism of action and the first-in-class tumor burden-
                                                                                  guided dosing, namely because of a significantly improved safety
                                                                                  profile with very low rates of severe CRS and ICANS and high,
                                                                                  sustained remissions following the single treatment of
                                                                                  AUCATZYL[supreg]. The promise of these clinically meaningful results
                                                                                  after treatment with AUCATZYL[supreg] are especially important for the
                                                                                  older Medicare population, the Hispanic population that faces worse
                                                                                  survival outcomes than patients of other ethnicities, and others with
                                                                                  overall poor health and high disease burden; today, these populations
                                                                                  are either considered ineligible for currently available therapies or
                                                                                  are at elevated risk following treatment or consolidation with
                                                                                  allogenic hemopoietic stem cell transplant (HSCT).
--------------------------------------------------------------------------------------------------------------------------------------------------------

    We have the following concerns with regard to the newness 
criterion. We note that the applicant asserted that AUCATZYL[supreg] 
does not use the same or similar mechanism of action as existing 
technologies for R/R B-ALL in adults because AUCATZYL[supreg]'s co-
stimulatory and binding domains differ from those of TECARTUS[supreg], 
which the applicant stated is the only other currently available CD19-
directed CAR T-cell immunotherapy for this population. However, we note 
that in the FY 2019 IPPS/LTCH PPS final rule (83 FR 41285 through 
41291), with regard to the CAR T-cell therapies KYMRIAH[supreg] 
(tisagenlecleucel) and YESCARTA[supreg] (axicabtagene ciloleucel), we 
stated that although the two technologies were not completely the same 
in terms of manufacturing processes, co-stimulatory domains, and 
clinical profiles, these differences did not result in different 
mechanisms of action, and therefore, inferred that the technologies' 
mechanisms of action were the same. Similarly, we question whether 
differences in the co-stimulatory and binding domains for 
AUCATZYL[supreg] and TECARTUS[supreg] result in the use of a different 
mechanism of action. In addition, we note that KYMRIAH[supreg] is also 
a CD19-directed CAR T-cell immunotherapy, and it is indicated for the 
treatment of patients up to 25 years of age with R/R B-ALL. We believe 
that the mechanism of action for all three therapies is the binding to 
CD19 by a CAR construct, which results in T-cell activation and killing 
of malignant cells in the treatment of B-ALL. Furthermore, while the 
applicant also stated that AUCATZYL[supreg]'s personalized tumor 
burden-guided dosing schedule is first in class and differentiates it 
from other technologies' mechanisms of action, we are unclear how a 
technology's dosing schedule is relevant to its mechanism of action. 
Accordingly, as it appears that AUCATZYL[supreg], TECARTUS[supreg], and 
KYMRIAH[supreg] may use the same or similar mechanism of action to 
achieve a therapeutic outcome, are assigned to the same MS-DRG, and 
treat the same or similar patient population and disease, that is, 
adult patients with R/R B-ALL, we believe that these technologies may 
be substantially similar to each other. We note that, per our policy, 
if these technologies are substantially similar to each other, we use 
the earliest market availability date as the beginning of the newness 
period for the technologies. Therefore, if AUCATZYL[supreg] is 
substantially similar to TECARTUS[supreg] and KYMRIAH[supreg], we 
believe the newness period for this technology would begin on November 
22, 2017, the date KYMRIAH[supreg] became commercially available.\20\ 
In addition, because the 3-year anniversary date of the 
KYMRIAH[supreg]'s entry onto the U.S. market (November 22, 2020) 
occurred in FY 2021, AUCATZYL[supreg] would no longer be considered new 
and would not be eligible for new technology add-on payments for FY 
2026. We are interested in information on how these technologies may 
differ from each other with respect to the substantial similarity 
criteria and newness criterion.
---------------------------------------------------------------------------

    \20\ TECARTUS[supreg] received FDA approval on October 1, 2021, 
for treatment of adult patients with R/R B-ALL. https://www.fda.gov/drugs/resources-information-approved-drugs/fda-approves-brexucabtagene-autoleucel-relapsed-or-refractory-b-cell-precursor-acute-lymphoblastic.
---------------------------------------------------------------------------

    We are inviting public comment on whether AUCATZYL[supreg] meets 
the newness criterion, including whether AUCATZYL[supreg] is 
substantially similar to TECARTUS[supreg] and KYMRIAH[supreg] for 
purposes of new technology add-on payments.

[[Page 18093]]

    With respect to the cost criterion, the applicant provided two 
analyses to demonstrate that AUCATZYL[supreg] meets the cost criterion. 
Each analysis followed the order of operations summarized in the 
following table.

                                         AUCATZYL[supreg] Cost Analysis
----------------------------------------------------------------------------------------------------------------
 
----------------------------------------------------------------------------------------------------------------
Inclusion/exclusion criteria...........  For the Inclusion/Exclusion criteria used in the Cost Analysis,
                                          including the data source and lists of ICD-10-CM codes, ICD-10-PCS
                                          codes, and MS-DRGs used by the applicant, see the cost criterion codes
                                          and MS-DRGs attachment included in the online posting for
                                          AUCATZYL[supreg].
Claims identified......................  Scenario 1: 349 claims mapping to 9 MS-DRGs, with 56.16% of claims
                                          mapping to MS-DRG 834 (Acute Leukemia with MCC).
                                         Scenario 2: 2,013 claims mapping to 74 MS-DRGs, with 20.22% of claims
                                          mapping to MS-DRG 838 (Chemotherapy with Acute Leukemia as Secondary
                                          Diagnosis with CC or High Dose Chemotherapy Agent).
Charges removed for prior technology...  Per the applicant, the utilization of AUCATZYL[supreg] would replace
                                          chemotherapy charges and other CAR-T therapy utilization. The
                                          applicant removed 36.2% and 49.4% of radiology charges for cases in
                                          scenario 1 and 2, respectively. Per the applicant, these percentages
                                          were derived based on an analysis of the revenue center file from the
                                          100% Inpatient SAF in FY 2023, which represent the share of all
                                          radiology charges attributable to chemotherapy, based on percentage of
                                          charges classified as chemotherapy observed in the SAF when ALL was a
                                          diagnosis. In addition, the applicant identified cases with CAR-T
                                          therapies and removed an amount equal to the therapy's wholesale
                                          acquisition cost (WAC) inflated by its estimated CAR-T cost-to-charge
                                          ratio of 0.2643. Finally, the applicant removed all ``Pharmacy
                                          Charges'' for claims with ICD-10-PCS codes of 3E03305 (Introduction of
                                          other antineoplastic into peripheral vein, percutaneous approach) and
                                          3E04305 (Introduction of other antineoplastic into central vein,
                                          percutaneous approach) for other antineoplastics. The applicant did
                                          not remove indirect charges related to the prior technology.
Standardized charges...................  The applicant used the standardization formula provided in Appendix A
                                          of the application. The applicant used all relevant values reported in
                                          the impact file posted with the FY 2023 IPPS/LTCH PPS final rule
                                          correcting amendment.
Inflation factor.......................  The applicant applied an inflation factor of 8.406% to the standardized
                                          charges, based on the inflation factor used to calculate outlier
                                          threshold charges in the FY 2025 IPPS/LTCH PPS final rule.
Charges added for the new technology...  The applicant added charges for the new technology by dividing the
                                          estimated cost of the new technology by its estimated average cost-to-
                                          charge ratio of 0.2643 for CAR T-cell therapies. The applicant did not
                                          add indirect charges related to the new technology.
Cost analysis results..................  Average case-weighted threshold amount: $1,554,026.
                                         Final inflated average case-weighted standardized charge per case:
                                          --Scenario 1: $2,315,730.
                                          --Scenario 2: $2,131,832.
----------------------------------------------------------------------------------------------------------------

    Because the final inflated average case-weighted standardized 
charge per case exceeded the average case-weighted threshold amount in 
both scenarios, the applicant asserted that AUCATZYL[supreg] meets the 
cost criterion.
    We are inviting public comments on whether AUCATZYL[supreg] meets 
the cost criterion.
    With regard to the substantial clinical improvement criterion, the 
applicant asserted that AUCATZYL[supreg] represents a substantial 
clinical improvement over existing technologies because the results of 
the phase IB/II FELIX clinical study demonstrated that the 
differentiated design of AUCATZYL[supreg] and its first-in-class tumor 
burden-guided dosing drive substantial short- and long-term clinically 
meaningful improvements in treatment outcomes of adults with R/R B-ALL, 
with superior immune-mediated toxicity, thereby, reducing the risk of 
patients experiencing life-threatening toxicities in need for intensive 
care. The applicant further asserted that AUCATZYL[supreg], as a stand-
alone therapy, may be considered standard of care for adults with R/R 
B-ALL. The applicant provided 3 published, peer-reviewed studies, six 
unpublished studies or presentations, and the AUCATZYL[supreg] 
prescribing information to support these claims, as well as 4 
supplementary attachments and 7 background articles about CD19-directed 
CAR T-cell therapies, B-ALL-associated survival, and risk factors 
associated with access to B-ALL treatments.\21\ The following table 
summarizes the applicant's assertions regarding the substantial 
clinical improvement criterion. Please see the online posting for 
AUCATZYL[supreg] for the applicant's complete statements regarding the 
substantial clinical improvement criterion and the supporting evidence 
provided.
---------------------------------------------------------------------------

    \21\ Background articles are not included in the following table 
but can be accessed via the online posting for the technology.

[[Page 18094]]



----------------------------------------------------------------------------------------------------------------
           Applicant statements in support                   Supporting evidence provided by the applicant
----------------------------------------------------------------------------------------------------------------
Substantial Clinical Improvement Assertion #1: The technology offers a treatment option for a patient population
                       unresponsive to, or ineligible for, currently available treatments
----------------------------------------------------------------------------------------------------------------
AUCATZYL[supreg] is the first and only autologous     Jabbour E, et al. Obecabtagene autoleucel (obe-cel) for
 CD19 CAR T-cell therapy with a novel, distinct        relapsed/refractory adult B-cell acute lymphoblastic
 immune-modulating mechanism of action and first-in-   leukemia (r/r B-ALL): impact of chimeric antigen receptor
 class tumor burden-guided dosing indicated for        T-cell (CAR T) and tumor burden-guided dosing in the
 treatment of adult r/r B-ALL.                         FELIX Phase Ib/II study. Abstract. Society of Hematologic
                                                       Oncology. 2024a.
                                                      Jabbour E, et al. Obecabtagene Autoleucel (obe-cel, Auto1)
                                                       in adults with relapsed/refractory B-cell acute
                                                       lymphoblastic leukemia: overall survival, event-free
                                                       survival and the potential impact of chimeric antigen
                                                       receptor T-cell persistency and consolidative stem cell
                                                       transplantation in the open-label single-arm FELIX phase
                                                       Ib/II study. Oral presentation; American Society of
                                                       Clinical Oncology Annual Meeting, 2024b.
                                                      Roddie C, et al. Oral #222; American Society of Hematology
                                                       Annual Meeting, 2023a.
                                                      The applicant also provided background information to
                                                       support this claim, which can be accessed via the online
                                                       posting for the technology.
----------------------------------------------------------------------------------------------------------------
 Substantial Clinical Improvement Assertion #2: The technology significantly improves clinical outcomes relative
                                to services or technologies previously available
----------------------------------------------------------------------------------------------------------------
Following the single treatment of AUCATZYL[supreg],   AUCATZYL prescribing information. www.autolus.com/media/
 adult patients with r/r B-ALL experienced high        aj4olbsd/aucatzyl-pi-08 nov2024.pdf.
 response rates, with superior immune-mediated        Ghorashian S, et al. Enhanced CAR T cell expansion and
 toxicity compared to currently available CAR T-cell   prolonged persistence in pediatric patients with ALL
 therapy.                                              treated with a low-affinity CD19 CAR. Nat Med.
                                                       2019;25(9):1408-1414.
                                                      Jabbour, 2024a, op. cit.
                                                      Jabbour, 2024b, op. cit.
                                                      Roddie C, et al. Durable responses and low toxicity after
                                                       fast off-rate CD19 chimeric antigen receptor-T therapy in
                                                       adults with relapsed or refractory B-cell acute
                                                       lymphoblastic leukemia. J Clin Oncol. 2021;39(30):3352-
                                                       3363.
                                                      Roddie, 2023a, op. cit.
                                                      Roddie C, et al. Obecabtagene autoleucel in adults with B-
                                                       cell acute lymphoblastic leukemia. N Engl J Med 2024a;
                                                       DOI:10.1056/NEJMoa2406526.
                                                      Roddie C, et al. Risk factors associated with sub-optimal
                                                       outcomes following obecabtagene autoleucel (obe-cel) for
                                                       relapsed/refractory B-cell acute lymphoblastic leukemia
                                                       (R/R B-ALL): What we have learned from the FELIX trial
                                                       ASH Annual Meeting. December 2024b.
                                                      Shah BD, et al. Healthcare resource utilization and costs
                                                       associated with managing CRS and ICANS in patients with
                                                       relapsed/refractory adult B-cell acute lymphoblastic
                                                       leukemia receiving obecabtagene autoleucel (obe-cel). ASH
                                                       Annual Meeting. December 2024.
                                                      The applicant also provided background information to
                                                       support this claim, which can be accessed via the online
                                                       posting for the technology.
Substantially improved CAR T persistence following    Day W, et al. Droplet digital PCR and flow cytometry
 the single treatment of AUCATZYL[supreg] leads to     sensitivity for measuring CAR T-cell kinetics in adult
 high, durable remission rates, without the need for   patients with relapsed/refractory B-cell acute
 consolidative transplant.                             lymphoblastic leukemia treated with obecabtagene
                                                       autoleucel. European Hematology Association Congress.
                                                       June 2024. Poster.
                                                      Jabbour, 2024b, op. cit.
                                                      Jabbour E, et al. Obecabtagene autoleucel (obe-cel) for
                                                       adult B-cell acute lymphoblastic leukemia (R/R B-ALL):
                                                       deep molecular remission may predict better outcomes. ASH
                                                       Annual Meeting. December 2024c.
                                                      Park JH, et al. Obecabtagene autoleucel (obe-cel) for
                                                       adults with B-cell acute lymphoblastic leukemia (R/R B-
                                                       ALL) in the open-label, multi-center, global, single-arm,
                                                       phase Ib/II FELIX study: the impact of bridging therapies
                                                       on CAR T-cell expansion and persistence. ASH Annual
                                                       Meeting. December 2024b.
                                                      Roddie C, et al. Long-term efficacy and safety of
                                                       obecabtagene autoleucel (obe-cel) in adult patients with
                                                       relapsed/refractory B-cell acute lymphoblastic leukemia
                                                       (r/r B-ALL); pooled analysis of ALLCAR19 and FELIX Phase
                                                       Ib studies) or other B-cell malignancies (ALLCAR19
                                                       extension study). Poster 2114. American Society of
                                                       Hematology Annual Meeting. 2023b.
                                                      Roddie, 2024a, op. cit.
                                                      The applicant also provided background information to
                                                       support this claim, which can be accessed via the online
                                                       posting for the technology.
AUCATZYL[supreg] may be an important, definitive      Jabbour, 2024b, op. cit.
 stand-alone treatment for adult r/r B-ALL versus     Park JH, et al. Relapsed/refractory B-Cell acute
 use as a bridging therapy.                            lymphoblastic leukemia (r/r B-ALL) obecabtagene
                                                       autholeucel (obe-cel) consolidative allogeneic stem cell
                                                       transplantation. Poster P-008 presented at Lymphoma,
                                                       Leukemia and Myeloma Congress (LLM 2024). October 2024a.
                                                      Roddie, 2023b, op. cit.
                                                      The applicant also provided background information to
                                                       support this claim, which can be accessed via the online
                                                       posting for the technology.
----------------------------------------------------------------------------------------------------------------

    We did not receive any written comments in response to the New 
Technology Town Hall meeting notice published in the Federal Register 
regarding the substantial clinical improvement criterion for 
AUCATZYL[supreg].
    After review of the information provided by the applicant, we have 
the following concerns regarding whether AUCATZYL[supreg] meets the 
substantial clinical improvement criterion. First, we question whether 
there is any patient population with R/R B-ALL that is unresponsive to 
or ineligible for any of the currently available treatments for the 
condition. We note that under this assertion, the applicant stated that 
AUCATZYL[supreg] is the first and only autologous CD19-directed CAR T-
cell therapy with a novel, distinct immune-modulating mechanism of 
action and first-in-class tumor burden-guided dosing indicated for the 
treatment of adult R/R B-ALL, which produces clinically advantageous 
results for these patients over currently available therapies, which 
the applicant stated is limited to TECARTUS[supreg] as it is the only 
CAR T-cell therapy approved for patients >=26 years old. However, the 
comparison of clinical outcomes does not demonstrate that a technology 
offers a treatment option for patients who have no other options due to 
being ineligible for or unresponsive to existing therapies, nor does 
the type of technology or dosing regimen. We note that the applicant 
provided three abstracts/presentations describing unpublished results 
from the phase Ib/II FELIX trial of AUCATZYL[supreg] as well as various 
background studies to support its claim.\22\ The FELIX trial is a 
multi-center, open-label, single-arm study that evaluates the efficacy 
and safety of AUCATZYL among R/R B-ALL patients, using complete 
remission (CR)

[[Page 18095]]

or complete remission with incomplete count recovery (CRi) per 
independent response review committee (IRRC) as the primary endpoint. 
In particular, the Jabbour et al. (2024a, 2024b) abstract and oral 
presentation provided the percent of patients with prior exposure to 
various existing treatments, and the Roddie et al. (2023b) presentation 
reported the subgroup analysis of clinical outcomes by prior 
treatments. However, none of the documents provided described patients 
who were unresponsive to or ineligible to receive TECARTUS[supreg]. 
Further, we note that being the first CAR T-cell therapy for a 
particular indication relates to mechanism of action and is not 
relevant to the demonstration of substantial clinical improvement. We 
also note that there are other treatments available for adult patients 
with R/R B-ALL such as Blincyto[supreg] (blinatumomab), 
Besponsa[supreg] (inotuzumab ozogamicin), and allogeneic stem cell 
transplant (allo-SCT), as well as KYMRIAH[supreg] which is FDA-approved 
in adults 18-25. Therefore, we are unclear which R/R B-ALL patients 
eligible for AUCATZYL[supreg] are unresponsive to or ineligible for 
treatment with any of these existing treatment options.
---------------------------------------------------------------------------

    \22\ Jabbour (2024a), op. cit.; Jabbour (2024b), op. cit.; 
Roddie (2023a), op. cit.
---------------------------------------------------------------------------

    We also question the applicant's assertion that following the 
single treatment of AUCATZYL[supreg], adult patients with r/r B-ALL 
experienced high response rates, with superior immune mediated toxicity 
compared to TECARTUS[supreg]. We note that the applicant provided the 
published FELIX trial which demonstrated overall remission [Complete 
Response (CR)/Complete Response with incomplete recovery (CRi)] rate of 
77 percent and CR of 55 percent in the efficacy-evaluable pivotal 
cohort 2A of (n=94) as well as unpublished presentations/abstracts of 
the trial which included pooled data for all cohorts, different follow 
up periods, and subgroup analyses. The applicant stated that the 
response rates for AUCATZYL[supreg] were at least comparable to that 
reported for TECARTUS[supreg], and provided the phase 2 single-arm, 
open-label ZUMA-3 trial of TECARTUS[supreg], which demonstrated an 
overall remission rate and CR of 71 percent and 56 percent, 
respectively (n=55). The applicant also stated that the response rates 
seen with AUCATZYL[supreg] were achieved with superior immune-mediated 
toxicity with low rates of Grade >=3 CRS (2 percent) and/or ICANS (7 
percent) compared to TECARTUS[supreg], where Grade >=3 CRS and ICANS 
have been observed in 24 percent and 25 percent of patients, 
respectively, in clinical studies and 7 percent and 38 percent, 
respectively, in real-world studies. However, we question the use of 
historical controls for comparing the clinical outcomes of 
AUCATZYL[supreg] and TECARTUS[supreg] without adjustments for the 
differences between the clinical trials for the two technologies. For 
example, there were several differences in baseline demographic and 
clinical attributes between FELIX, the pivotal trials for 
AUCATZYL[supreg], and ZUMA-3, the pivotal trial for TECARTUS[supreg]. 
These differences could confound the relationship between the 
intervention and clinical outcomes and reduce the validity of the 
results if they are not taken into account in the analysis of the 
findings. For example, AUCATZYL[supreg] recipients were in general 
older (median age: FELIX: 47 years; ZUMA-3: 40 years), had a higher 
percent Philadelphia chromosome positive (FELIX: 33 percent; ZUMA-3: 27 
percent), had extramedullary disease at screening (FELIX: 25 percent; 
ZUMA-3: 11 percent); and had a lower tumor burden (median BM blast 
percent at screening: FELIX: 25 percent; ZUMA-3: 60 percent). 
AUCATZYL[supreg] recipients included a higher proportion of those 
previously treated with inotuzumab ozogamicin \23\ (FELIX: 31 percent; 
ZUMA-3: 22 percent), or allo-SCT (FELIX: 58 percent; ZUMA-3: 42 
percent), but a lower proportion of those previously exposed to 
blinatumomab (FELIX: 39 percent; ZUMA-3: 45 percent).24 25 
We question whether these baseline patient attributes in the trials 
could have impacted outcomes to the extent that differences between 
these attributes would impact comparisons in clinical outcomes between 
AUCATZYL[supreg] and TECARTUS[supreg].
---------------------------------------------------------------------------

    \23\ Jabbour (2024b), op. cit.
    \24\ Jabbour (2024a), op. cit.
    \25\ Shah (2021), op. cit.
---------------------------------------------------------------------------

    With regard to the applicant's claim that AUCATZYL[supreg] may be 
an important, definitive stand-alone treatment for adult r/r B-ALL 
versus use as a bridging therapy, we note that among the 99 patients in 
the FELIX study who achieved CR or CRi, 40 (40 percent) experienced 
ongoing remission with subsequent stem cell transplant (SCT) or other 
therapy; 18 (18 percent) received subsequent SCT during remission, five 
(5 percent) started new anti-cancer therapy, and the remaining 36 
patients (36 percent) either relapsed or died.\26\ We are unclear why 
AUCATZYL[supreg] was not a stand-alone treatment for the 23 percent of 
patients who underwent SCT or anti-cancer therapy subsequently. We are 
interested in the criteria that were used to determine whether a 
patient in remission should undergo subsequent SCT or not. Per the 
applicant, 17 percent of the patients at high risk for immune effector 
cell-associated hematotoxicity (HT), the most common side effect of CAR 
T therapy, and 21 percent of those at lower risk for HT proceeded to 
undergo allogeneic SCT (allo-SCT).\27\ We welcome information about 
factors besides HT that may also be used to inform decisions about the 
need for subsequent allo-SCT.
---------------------------------------------------------------------------

    \26\ Jabbour (2024b), op. cit.
    \27\ Roddie (2024b), op. cit.
---------------------------------------------------------------------------

    We are also concerned about potential confounders introduced by 
pooling the data from two independent trials with different study 
designs, and how those confounders might impact the validity of the 
findings related to AUCATZYL[supreg]'s impact on clinical outcomes. 
According to the applicant, Roddie et al. (2023b) pooled data from the 
ALLCAR19 (N=20) and FELIX trials (N=16).\28\ Per the applicant, the 
former was a multicenter, non-randomized open-label Phase 1 study in 
patients aged 16 years or older with B-cell malignancies, including B-
ALL. The latter was a global, open-label, single-arm Phase Ib/II study 
enrolling patients ages 18 years or older with R/R B-ALL. We are 
interested in the differences between the ALLCAR19 and FELIX trials in 
terms of eligibility criteria, patients' prior exposure to B-ALL 
treatments, co-morbidities, and reasons for attrition. We question 
whether, and how, differences were accounted for in the analysis of 
clinical outcomes associated with AUCATZYL[supreg].
---------------------------------------------------------------------------

    \28\ Roddie (2023b), op. cit.
    \29\ National Cancer Institute. Division of Cancer Control & 
Population Sciences. Surveillance, Epidemiology, and End Results 
(SEER) Surveillance Research Program (chrome-extension://
efaidnbmnnnibpcajpcglclefindmkaj/https://seer.cancer.gov/about/factsheets/SEER_Overview.pdf, accessed 1/23/2025).
    \30\ Sasaki K, Jabbour E, and Short NJ et al. Acute 
lymphoblastic leukemia: A population-based study of outcome in the 
United States based on the surveillance, epidemiology, and end 
results (SEER) database, 1980-2017. American Journal of Hematology 
2021:96:650.
---------------------------------------------------------------------------

    Moreover, we are concerned about the availability of evidence on 
AUCATZYL's effects on the outcomes of the Medicare population of those 
age 65 years or older. According to a study using National Cancer 
Institute's Surveillance, Epidemiology, and End Result (SEER) database, 
which drew its data from population-based cancer registries covering 48 
percent of the US population,\29\ between 1980 and 2017, while the 
majority (57 percent) of B-ALL patients were under the age of 15 years, 
13 percent were 60 years of age or older.\30\ We note that the patient 
sample in Ghorashian et al. (2019) included those age 19 years or 
younger,

[[Page 18096]]

and the patient sample in Roddie et al. (2021) were age 16 years or 
older (median: 41.5 years, range: 17 to 62). We also note that the 
applicant's substantial clinical improvement claims for 
AUCATZYL[supreg] are specific to adults (18 years or older) with R/R B-
ALL. However, the estimated five-year survival of B-ALL patients 
decreased from 85 percent for those under the age of 15, to 19 percent 
for those between the age of 60 and 69 years, and further to six 
percent for those age 70 years or older.\31\ We welcome evidence about 
the clinical outcomes of R/R B-ALL patients age 65 years or older who 
received AUCATZYL[supreg].
---------------------------------------------------------------------------

    \31\ Sasaki (2021), op. cit.
---------------------------------------------------------------------------

    In addition, we are unclear whether the CD19-targeting CAR T 
therapy discussed in Ghorashian et al. (2019) was identical to 
AUCATZYL[supreg] or an earlier version of it. We note that Ghorashian 
et al. (2019) discussed a novel CD19 CAR (CAT-41BBz CAR),\32\ and 
Roddie et al. (2021) stated that they developed a novel second 
generation CD19-CAR (CAT19-41BB-Z) with a fast off rate.\33\ We welcome 
information about how the technology in Ghorashian et al. (2019) 
compares with AUCATZYL[supreg].
---------------------------------------------------------------------------

    \32\ Ghorashian (2019), op. cit.
    \33\ Roddie (2021), op. cit.
---------------------------------------------------------------------------

    With regard to the applicant's assertion that AUCATZYL[supreg] 
represents a substantial clinical improvement because it substantially 
improves CAR T-cell persistence, we note that this relates to surrogate 
endpoints rather than clinical outcomes. The applicant provided the Day 
presentation (2024) which examined the association between CAR T-cell 
persistence and event-free survival among patients who received 
AUCATZYL[supreg] at six month post infusion.\34\ However, we note that 
while the applicant stated persistence of CAR T-cells is associated 
with improved event-free survival, CAR T-cell persistence is a 
surrogate measure and does not assess a clinical outcome as described 
under the regulations at Sec.  412.87(b)(1)(ii)(C).
---------------------------------------------------------------------------

    \34\ Day (2024), op. cit.
---------------------------------------------------------------------------

    In addition, we note that the applicant only asserted improved 
outcomes for AUCATZYL[supreg] over TECARTUS[supreg], and we did not 
receive any evidence comparing AUCATZYL[supreg] with other currently 
available treatments for adults with R/R B-ALL such as KYMRIAH[supreg] 
(approved in adults 18-25), as well as non-CAR T-cell therapies 
described previously, to demonstrate improved clinical outcomes. We 
welcome additional information comparing these therapies with 
AUCATZYL[supreg] in order to demonstrate that it provides a substantial 
clinical improvement over existing therapies.
    We are inviting public comments on whether AUCATZYL[supreg] meets 
the substantial clinical improvement criterion.
b. AURLUMYNTM (Iloprost Injection)
    SERB Pharmaceuticals submitted an application for new technology 
add-on payments for AURLUMYNTM for FY 2026. According to the 
applicant, AURLUMYNTM is an intravenous form of iloprost 
associated with immediate generalized vasodilation, immunomodulation, 
and anti-inflammation indicated for the treatment of severe frostbite 
in adults to reduce the risk of digit amputations.
    Please refer to the online application posting for AURLUMYN\TM\, 
available at https://mearis.cms.gov/public/publications/ntap/NTP241007QK29V, for additional detail describing the technology and the 
disease treated by the technology.
    With respect to the newness criterion, according to the applicant, 
FDA granted NDA approval for AURLUMYN\TM\ on February 13, 2024, for the 
treatment of severe frostbite in adults to reduce the risk of digit 
amputations. Per the applicant, the commercial launch of AURLUMYN\TM\ 
was delayed until the NDA sponsor could secure a capable commercial 
partner. Per the applicant, it acquired AURLUMYN\TM\ globally on 
October 18, 2024, and prepared for launch aligned with the beginning of 
the winter season. The applicant stated that the technology became 
available for sale on November 12, 2024. We are interested in 
additional information regarding the cause of any delay in the 
technology's commercial availability, including additional details 
about the preparation for launch that aligned with the beginning of the 
winter season.
    According to the applicant, AURLUMYN\TM\ is administered as a 
continuous intravenous (IV) infusion over 6 hours per day, increased in 
increments up to a maximum dose of 2 ng/kg/minute, for up to a maximum 
of 8 consecutive days. The applicant expects that AURLUMYN\TM\ will be 
dosed in the inpatient setting for 8 consecutive days using a total of 
eight single-use vials (one per day).
    According to the applicant, there are currently no ICD-10-PCS 
procedure codes to distinctly identify AURLUMYN\TM\. We note that the 
applicant submitted a request for a unique ICD-10-PCS procedure code 
for AURLUMYN\TM\ beginning in FY 2026. The applicant provided a list of 
diagnosis codes that may be used to currently identify the indication 
for AURLUMYN\TM\ under the ICD-10-CM coding system. Please refer to the 
online application posting for the complete list of ICD-10-CM codes 
provided by the applicant.
    As previously discussed, if a technology meets all three of the 
substantial similarity criteria under the newness criterion, it would 
be considered substantially similar to an existing technology and would 
not be considered ``new'' for the purpose of new technology add-on 
payments.
    With respect to the substantial similarity criteria, the applicant 
asserted that AURLUMYN\TM\ is not substantially similar to other 
currently available technologies because it is the first-ever FDA-
approved treatment for frostbite of any grade and is specifically 
indicated for the treatment of severe frostbite in adults to reduce the 
risk of finger or toe amputation, and therefore, the technology meets 
the newness criterion. The following table summarizes the applicant's 
assertions regarding the substantial similarity criteria. Please see 
the online application posting for AURLUMYN\TM\ for the applicant's 
complete statements in support of its assertion that AURLUMYN\TM\ is 
not substantially similar to other currently available technologies.

[[Page 18097]]



--------------------------------------------------------------------------------------------------------------------------------------------------------
              Substantial similarity criteria                  Applicant response               Applicant assertions regarding this criterion
--------------------------------------------------------------------------------------------------------------------------------------------------------
Does the technology use the same or similar mechanism of    No.....................  AURLUMYN\TM\ is the only IV form of iloprost available in the U.S.
 action to achieve a therapeutic outcome?                                             AURLUMYN\TM\ is a stable synthetic analog of PGI2 and is a potent
                                                                                      prostacyclin receptor agonist. Upon binding to the prostacyclin
                                                                                      receptor, prostacyclin inhibits platelet activation and acts as a
                                                                                      vasodilator. AURLUMYN\TM\ is associated with immediate generalized
                                                                                      vasodilation, immunodulation, and anti-inflammation. AURLUMYN\TM\
                                                                                      has been associated with reductions in neutrophil adhesion and
                                                                                      chemotaxis as well as downregulation of intracellular expression
                                                                                      of IL-6 and TNF alpha in human monocytes. In addition,
                                                                                      AURLUMYN\TM\ has been shown to enhance fibrinolysis, increase red
                                                                                      cell deformability, and reduce white cell adhesion to endothelial
                                                                                      cells. AURLUMYN\TM\ has also demonstrated activity with respect to
                                                                                      increasing cAMP levels in human platelets via stimulation of
                                                                                      adenylate cyclase, with resultant inhibition of platelet
                                                                                      aggregation. AURLUMYN\TM\ inhibits arachidonic acid-induced
                                                                                      vasoconstriction, which may be explained by its ability to
                                                                                      counteract thromboxane. As a result of these properties,
                                                                                      AURLUMYN\TM\ may mitigate vasoconstriction and microthrombosis to
                                                                                      limit frostbite injury. Previously, access to medical frostbite
                                                                                      treatment in the U.S. has been limited to agents not specifically
                                                                                      studied or approved for frostbite. AURLUMYN\TM\ is not
                                                                                      substantially similar to those agents used in case study and
                                                                                      anecdotal reports, including nonsteroidal anti-inflammatory drugs,
                                                                                      heparin, antibiotics, dextran, tetanus toxoid, immune globulin,
                                                                                      antiplatelet agents, and anticoagulant therapy. AURLYMN\TM\ is
                                                                                      also significantly differentiated from VENTAVIS[supreg] (iloprost)
                                                                                      inhalation solution approved in 2004, and since discontinued, for
                                                                                      the chronic treatment of pulmonary arterial hypertension and
                                                                                      intended to be chronically administered.
Is the technology assigned to the same MS-DRG as existing   No.....................  The 2023 MedPAR file contains no patient cases assigned to any MS-
 technologies?                                                                        DRG representing frostbite cases treated with an FDA-approved
                                                                                      therapy for severe frostbite. AURLUMYN\TM\ is the first-ever FDA-
                                                                                      approved treatment for frostbite of any grade. It is expected
                                                                                      AURLUMYN\TM\ administration cases will map to MS-DRGs based on the
                                                                                      MS-DRG assignment logic for the case-specific diagnosis or
                                                                                      procedural codes.
Does new use of the technology involve the treatment of     No.....................  AURLUMYN\TM\ is the first-ever FDA-approved treatment for frostbite
 the same/similar type of disease and the same/similar                                of any grade and is specifically approved for the treatment of
 patient population when compared to an existing                                      severe frostbite in adults to reduce the risk of finger or toe
 technology?                                                                          amputation.
--------------------------------------------------------------------------------------------------------------------------------------------------------

    We note that the applicant asserted that AURLUMYN\TM\ is not 
assigned to the same MS-DRG as existing technologies. However, as the 
applicant also stated that AURLUMYN\TM\ will map to MS-DRGs based on 
diagnosis/procedure codes, we believe that the use of AURLUMYN\TM\ will 
not change the MS-DRG assignment and will, therefore, map to the same 
MS-DRGs as other treatments for severe frostbite. In addition, while 
the applicant asserted that AURLUMYN\TM\ does not treat the same or 
similar type of disease and the same or similar patient population as 
existing treatments because it is the first-ever FDA-approved treatment 
for frostbite, we note that there are other severe frostbite treatments 
that are commonly used including rapid rewarming, fasciotomy, 
thrombolysis, and sympathectomy.
    We are inviting public comments on whether AURLUMYN\TM\ is 
substantially similar to existing technologies and whether AURLUMYN\TM\ 
meets the newness criterion.
    With respect to the cost criterion, the applicant provided multiple 
analyses to demonstrate that AURLUMYN\TM\ meets the cost criterion. 
Each analysis followed the order of operations summarized in the 
following table.

                       AURLUMYN\TM\ Cost Analysis
------------------------------------------------------------------------
 
------------------------------------------------------------------------
Inclusion/exclusion criteria.  For the Inclusion/Exclusion criteria used
                                in the Cost Analysis, including the data
                                source and lists of ICD-10-CM codes and
                                MS-DRGs used by the applicant, see the
                                cost criterion codes and MS-DRGs
                                attachment included in the online
                                posting for AURLUMYN\TM\.
Claims identified............  Scenario 1: 103 claims mapping to nine MS-
                                DRGs, with none of the MS-DRGs exceeding
                                13.59% of the total identified cases.
                               Scenario 2: 159 claims mapping to 11 MS-
                                DRGs, with 22.64% of claims mapping to
                                MS-DRG 923 (Other Injury, Poisoning and
                                Toxic Effect Diagnoses without CC).
Charges removed for prior      The applicant stated that no charges were
 technology.                    removed for a prior technology as a
                                result of using AURLUMYN\TM\, and that
                                there were no indirect charges related
                                to a prior technology to be removed.
Standardized charges.........  The applicant used the standardization
                                formula provided in Appendix A of the
                                application. The applicant used all
                                relevant values reported in the impact
                                file posted with the FY 2023 IPPS/LTCH
                                PPS final rule correcting amendment.
Inflation factor.............  The applicant applied an inflation factor
                                of 8.4% to the standardized charges,
                                based on the inflation factor used to
                                calculate outlier threshold charges in
                                the FY 2025 IPPS/LTCH PPS final rule.
Charges added for the new      For both scenarios 1 and 2, the applicant
 technology.                    added charges for the new technology by
                                dividing the average cost of the new
                                technology per inpatient stay by the
                                national average cost-to-charge ratio of
                                0.178 for Drugs and Cellular Therapies
                                from the FY 2025 IPPS/LTCH PPS final
                                rule. The applicant did not add indirect
                                charges related to the new technology.

[[Page 18098]]

 
Cost analysis results........  Scenario 1:
                               --Average case-weighted threshold amount:
                                $87,166.
                               --Final inflated average case-weighted
                                standardized charge per case: $353,509.
                               Scenario 2:
                               --Average case-weighted threshold amount:
                                $73,762.
                               --Final inflated average case-weighted
                                standardized charge per case: $328,186.
------------------------------------------------------------------------

    Because the final inflated average case-weighted standardized 
charge per case exceeded the average case-weighted threshold amount in 
both scenarios, the applicant asserted that AURLUMYN\TM\ meets the cost 
criterion.
    We are inviting public comments on whether AURLUMYN\TM\ meets the 
cost criterion.
    With regard to the substantial clinical improvement criterion, the 
applicant asserted that AURLUMYN\TM\ represents a substantial clinical 
improvement over existing technologies because AURLUMYN\TM\ 
substantially lowers the risk of digit amputation in severe frostbite 
cases. Additionally, the applicant claimed that, by reducing the risk 
of finger and toe amputations in adults with severe frostbite, 
AURLUMYN\TM\ mitigates debilitating, lifelong health-related, 
functional, and work-related impacts associated with digit amputation. 
The applicant provided four documents, including two studies and 
clinical practice guidelines to support these claims, as well as two 
background articles about a classification system for frostbite 
severity and the prevention and clinical treatment of frostbite.\35\ 
The following table summarizes the applicant's assertions regarding the 
substantial clinical improvement criterion. Please see the online 
posting for AURLUMYN\TM\ for the applicant's complete statements 
regarding the substantial clinical improvement criterion and the 
supporting evidence provided.
---------------------------------------------------------------------------

    \35\ Background articles are not included in the following table 
but can be accessed via the online posting for the technology.

------------------------------------------------------------------------
                                     Supporting evidence provided by the
  Applicant statements in support                 applicant
------------------------------------------------------------------------
 Substantial Clinical Improvement Assertion #1: The technology offers a
treatment option for a patient population unresponsive to, or ineligible
                   for, currently available treatments
------------------------------------------------------------------------
AURLUMYN\TM\ is the first-ever      Cauchy E, et al. A controlled trial
 medical treatment for frostbite     of a prostacyclin and rt-PA in the
 approved by the FDA and is          treatment of severe frostbite. N
 specifically approved for           Engl J Med 2011;364, 189-190.
 treatment of severe frostbite to   Crooks S, et al. Effectiveness of
 reduce the risk of digit            intravenous prostaglandin to reduce
 amputations.                        digital amputations from frostbite:
                                     an observational study. Canadian
                                     Journal of Emergency Medicine
                                     2022;24, 622-629.
                                    McIntosh SE, et al. Wilderness
                                     Medical Society Clinical Practice
                                     Guidelines for the Prevention and
                                     Treatment of Frostbite. 2019
                                     Update. Wilderness & Environmental
                                     Medicine 2019;30, S19-S32.
                                    McIntosh SE, et al. Wilderness
                                     Medical Society Clinical Practice
                                     Guidelines for the Prevention and
                                     Treatment of Frostbite: 2024
                                     Update. Wilderness & Environmental
                                     Medicine 2024;35(2) 183-197.
                                    The applicant also provided
                                     background information to support
                                     this claim, which can be accessed
                                     via the online posting for the
                                     technology.
------------------------------------------------------------------------
      Substantial Clinical Improvement Assertion #2: The technology
    significantly improves clinical outcomes relative to services or
                    technologies previously available
------------------------------------------------------------------------
AURLUMYN\TM\ reduces the risk of    Cauchy, 2011, op. cit.
 amputation of fingers and toes in  Crooks, 2022, op. cit.
 adults with severe frostbite,      McIntosh, 2019, op. cit.
 mitigating debilitating, lifelong  McIntosh, 2024, op. cit.
 health-related, functional and
 work-related impacts of digit
 amputation.
------------------------------------------------------------------------

    We did not receive any written comments in response to the New 
Technology Town Hall meeting notice published in the Federal Register 
regarding the substantial clinical improvement criterion for 
AURLUMYN\TM\.
    After review of the information provided by the applicant, we have 
the following concerns regarding whether AURLUMYN\TM\ meets the 
substantial clinical improvement criterion. With respect to the claim 
that AURLUMYN\TM\ offers a treatment option for a patient population 
unresponsive to, or ineligible for, currently available treatments, we 
note that the applicant stated that AURLUMYN\TM\ is the first-ever FDA-
approved medical treatment for severe frostbite to reduce the risk of 
digit amputations, but did not identify a patient group that is 
unresponsive to, or ineligible for, the standard-of-care treatment, 
where AURLUMYN\TM\ does offer a treatment option.
    The applicant provided two published studies that used AURLUMYN\TM\ 
to support this claim (Cauchy et al., 2011; Crooks et al., 2022). 
Cauchy et al. (2011), which was published as a letter to the editor, is 
a single site, open-label trial which randomized 47 healthy patients 
(aged 18 to 55 years) with severe frostbite after mountain rescue in 
France to receive either buflomedil, AURLUMYN\TM\, or AURLUMYN\TM\ plus 
recombinant tPA (rtPA), and assessed treatment efficacy based on bone 
scan scintigraphy to determine risk of amputation. The second study 
(Crooks et al., 2022) was a retrospective cohort study consisting of a 
medical records review in Calgary, Canada, a large city inclusive of an 
unhoused population. The study excluded patients due to superficial or 
grade 1 frostbite, resulting in 90 patients

[[Page 18099]]

with an interquartile age range of 31 to 53 years old. For frostbite 
treatment, these patients received either AURLUMYN\TM\ or the standard 
of care, which consisted of the local best practice without 
AURLUMYN\TM\. While these two studies compared treatment of patients 
with severe frostbite using AURLUMYN\TM\ to other treatments, neither 
study described a patient group that is unresponsive to, or ineligible 
for, existing treatment options where AURLUMYN\TM\ offers treatment. We 
further note that while the applicant also cited the Wilderness Medical 
Society Practice Guidelines (McIntosh et al., 2024) which included a 
strong recommendation for iloprost as the first-line treatment for 
severe (grades 3 and 4) frostbite less than 48 hours after thawing, and 
possibly for up to 72 hours post-thawing,\36\ the full statement in the 
Guidelines is that intravenous iloprost should be considered first-line 
therapy for grade 3 and 4 frostbite <72 hours after injury, when tPA is 
contraindicated, and in austere environments where tPA infusion is 
considered risky or evacuation to a treatment facility will be delayed. 
Additionally, the guidelines include other recommendations for 
treatments such as sympathectomy, fasciotomy, and hydrotherapy. 
Therefore, it appears that there are other treatment options for 
frostbite other than AURLUMYN\TM\. We would appreciate any additional 
information regarding which patient population AURLUMYN\TM\ can treat 
for severe frostbite, for which other existing treatments could not be 
used.
---------------------------------------------------------------------------

    \36\ McIntosh, S.E., Freer, L., Grissom, C.K., Rodway, G.W., 
Giesbrecht, G.G., McDevitt, M., Imray, C.H., Johnson, E.L., Pandey, 
P., Dow, J., & Hackett, P.H. (2024). Wilderness Medical Society 
Clinical Practice Guidelines for the Prevention and Treatment of 
Frostbite: 2024 Update. Wilderness & Environmental Medicine, 35(2). 
https://doi.org/10.1177/10806032231222359.
---------------------------------------------------------------------------

    With respect to the claim that AURLUMYN\TM\ significantly improves 
clinical outcomes relative to services or technologies previously 
available, the applicant stated that AURLUMYN\TM\ reduces the risk of 
amputation of fingers and toes in adults with severe frostbite, 
mitigating debilitating, lifelong health-related, functional, and work-
related impacts of digit amputation. To support this claim, the 
applicant provided the two published studies and Wilderness Medical 
Society Practice Guidelines previously discussed (Cauchy et al., 2011; 
Crooks et al., 2022; McIntosh et al., 2024). The Cauchy et al. (2011) 
study found that the 16 patients treated with AURLUMYN\TM\ without rtPA 
resulted in no amputations, whereas the risk of amputation was greater 
in patients treated with buflomedil (60 percent, 9 of 15 patients) and 
patients treated with AURLUMYN\TM\ plus rtPA (19 percent, 3 of 16 
patients). The Crooks et al. (2022) study found that 18 percent of 
grade 3 frostbite injuries and 46 percent of grade 4 frostbite injuries 
treated with AURLUMYN\TM\ resulted in digital amputation, compared to 
the standard of care groups where 44 percent of grade 3 frostbite 
injuries and 95 percent of grade 4 frostbite injuries resulted in 
amputations. However, we question whether the composition of the 
AURLUMYN\TM\ and standard of care treatment groups in these two 
published studies were sufficiently comparable and, consequently, 
whether outcomes demonstrated are clinically significant. Specifically, 
we question the accuracy of severity grading determinations and the 
resulting randomization process used to group patients in both studies 
due to the subjective nature of grading frostbite injuries that can 
evolve over time, and being that the grading of frostbite injuries in 
Crooks et al. (2022) was conducted using photographs and clinician 
health descriptions in the local electronic health record. We also note 
that, in Crooks et al. (2022), no patients in the control group were 
treated with tPA, despite tPA and heparin being available for severe 
injuries during the period of treatment with standard frostbite care. 
The absence of tPA in the control group raises questions about the 
adequacy of the comparator, given that the Wilderness Medical Society 
Practice Guidelines recommend tPA for select severe frostbite cases 
where timely administration is feasible. We also question the extent to 
which the quality of frostbite care in the control group may have 
varied, prior to the implementation of the protocol that implemented 5-
day iloprost infusion. In addition, while the utility of 
recommendations in establishing evidence of clinically improved 
outcomes is limited, we further note that neither study provided direct 
comparison with therapies that are also strongly recommended by the 
Wilderness Medical Society, such as fasciotomy and hydrotherapy, or 
with other therapies that may have limited data availability, such as 
sympathectomy and hyperbaric oxygen therapy.
    We also have concerns about the generalizability of the Cauchy et 
al. (2011) and Crooks et al. (2022) studies to the Medicare population. 
We note that Cauchy et al. (2011) studied AURLUMYN\TM\ treatment in 
patients in France, whose mean age was 33.1 years and who had no 
notable medical or surgical history. As noted in the Crooks et al. 
(2022) study, which studied patients from a large Canadian city with a 
substantial unhoused population, the effects may not be as dramatic as 
results in other studies, owing to the differences in medical and 
social comorbidities in the study population. Similarly, the Medicare 
population may have significant differences from the Cauchy et al. 
(2011) study population, in physical and mental health and social 
complexities. We also question whether efficacy data from Cauchy et al. 
(2011) is generalizable to the Medicare population due to the study's 
location, small patient population, and patients' age. We note that 
these two published studies assessing AURLUMYN\TM\ were both conducted 
outside of the U.S and primarily included patients under the age of 55 
years (range: 18 to 55 and 29 to 54 years, respectively). As noted in 
the AURLUMYN\TM\ prescribing information, clinical studies included 
insufficient numbers of patients aged 65 years and older to determine 
whether they respond differently than younger subjects.\37\
---------------------------------------------------------------------------

    \37\ Eicos Sciences, Inc. Prescribing Information for 
AURLUMYN\TM\ (iloprost) injection, for intravenous use (revised 5/
2024), section 8.5 Geriatric Use. Available at: https://www.accessdata.fda.gov/drugsatfda_docs/label/2024/217933s000lbl.pdf.
---------------------------------------------------------------------------

    We are inviting public comments on whether AURLUMYN\TM\ meets the 
substantial clinical improvement criterion.
c. BREYANZI[supreg] (Lisocabtagene Maraleucel)
    Bristol Myers Squibb submitted an application for new technology 
add-on payments for BREYANZI[supreg] for FY 2026. According to the 
applicant, BREYANZI[supreg] is a CD19-directed, autologous CAR T-cell 
immunotherapy comprised of individually formulated CD8 and CD4 CAR T-
cells, and it is indicated for the treatment of adult patients with 
relapsed/refractory (R/R) chronic lymphocytic leukemia or small 
lymphocytic lymphoma (CLL/SLL) who have received two or more prior 
lines of therapy (LOTs), including a Bruton tyrosine kinase inhibitor 
(BTKi) and a B-cell lymphoma 2 protein inhibitor (BCL2i). We note that 
BREYANZI[supreg] is also indicated for the treatment of adult patients 
with R/R large B-cell lymphoma, for which the applicant submitted an 
application for new technology add-on payments for FY 2021 and FY 2022, 
as discussed in the FY 2022 IPPS/LTCH PPS final rule (86 FR 44996 
through 45008).
    Please refer to the online application posting for 
BREYANZI[supreg], available at https://mearis.cms.gov/public/

[[Page 18100]]

publications/ntap/NTP24100722KTJ, for additional detail describing the 
technology and the disease treated by the technology.
    With respect to the newness criterion, according to the applicant, 
BREYANZI[supreg] was granted accelerated approval for its supplemental 
Biologics License Application (sBLA) by FDA on March 14, 2024 for the 
treatment of adult patients with R/R CLL or SLL who have received two 
or more prior LOTs including a BTKi and a BCL2i.\38\ According to the 
applicant, BREYANZI[supreg] was commercially available immediately 
after FDA marketing authorization for the CLL/SLL indication. Per the 
applicant, for this indication, patients receive a one-time intravenous 
infusion of BREYANZI[supreg], which contains 90 to 110 x 10\6\ CAR-
positive viable T-cells consisting of 1:1 CAR-positive viable T-cells 
of the CD8 and CD4 components, with each component supplied separately 
in one or more single-dose vials.
---------------------------------------------------------------------------

    \38\ Breyanzi. United States Prescribing Information (USPI), 
(revised 5/2024). According to the applicant, FDA has also approved 
BREYANZI[supreg] for several other indications, including for the 
treatment of adults with (1) R/R follicular lymphoma (FL) who have 
received two or more prior LOT (approved on 5/15/2024); (2) R/R 
mantle cell lymphoma (MCL) who have received at least two prior LOT, 
including a BTKi (approved on 5/30/2024); (3) R/R large B-cell 
lymphoma (LBCL) after two or more LOT, including diffuse large B-
cell lymphoma (DLBCL) not otherwise specified (including DLBCL 
arising from indolent lymphoma), high-grade B-cell lymphoma, primary 
mediastinal LBCL, and FL grade 3B (approved on 2/5/2021); and (4) 
LBCL, including DLBCL, not otherwise specified (including DLBCL 
arising from indolent lymphoma), high-grade B-cell lymphoma, primary 
mediastinal LBCL, and FL grade 3B, who have either refractory 
disease to first-line chemoimmunotherapy or relapse within 12 months 
of first-line chemoimmunotherapy or refractory disease to first-line 
chemoimmunotherapy or relapse after first-line chemoimmunotherapy 
and are not eligible for hematopoietic stem cell transplant (HSCT) 
due to comorbidities or age (approved on 6/24/2022). (https://www.fda.gov/vaccines-blood-biologics/cellular-gene-therapy-products/breyanzi-lisocabtagene-maraleucel, accessed 3/27/2025).
---------------------------------------------------------------------------

    The applicant stated that, effective October 1, 2021, the following 
ICD-10-PCS codes could be used to uniquely describe procedures 
involving the use of BREYANZI[supreg]: XW033N7 (Transfusion of 
lisocabtagene maraleucel immunotherapy into peripheral vein) or XW043N7 
(Transfusion of lisocabtagene maraleucel immunotherapy into central 
vein). The applicant provided the following list of codes may be used 
to currently identify the R/R SLL/CLL indication for BREYANZI[supreg] 
under the ICD-10-CM coding system:

------------------------------------------------------------------------
        ICD-10-CM code                        Description
------------------------------------------------------------------------
C83.00.......................  Small cell B-cell lymphoma, unspecified
                                site.
C83.01.......................  Small cell B-cell lymphoma, lymph nodes
                                of head, face, and neck.
C83.02.......................  Small cell B-cell lymphoma, intrathoracic
                                lymph nodes.
C83.03.......................  Small cell B-cell lymphoma, intra-
                                abdominal lymph nodes.
C83.04.......................  Small cell B-cell lymphoma, lymph nodes
                                of axilla and upper limb.
C83.05.......................  Small cell B-cell lymphoma, lymph nodes
                                of inguinal region and lower limb.
C83.06.......................  Small cell B-cell lymphoma, intrapelvic
                                lymph nodes.
C83.07.......................  Small cell B-cell lymphoma, spleen.
C83.08.......................  Small cell B-cell lymphoma, lymph nodes
                                of multiple sites.
C83.09.......................  Small cell B-cell lymphoma, extranodal
                                and solid organ sites.
C91.10.......................  Chronic lymphocytic leukemia of B-cell
                                type not having achieved remission.
C91.12.......................  Chronic lymphocytic leukemia of B-cell
                                type in relapse.
------------------------------------------------------------------------

    We are inviting public comments on the use of these ICD-10-CM 
diagnosis codes to identify the indication of R/R SLL or CLL for 
purposes of the new technology add-on payment, if approved.
    As previously discussed, if a technology meets all three of the 
substantial similarity criteria under the newness criterion, it would 
be considered substantially similar to an existing technology and would 
not be considered ``new'' for the purpose of new technology add-on 
payments.
    With respect to the substantial similarity criteria, the applicant 
asserted that BREYANZI[supreg] is not substantially similar to other 
currently available technologies because BREYANZI[supreg] does not use 
the same or similar mechanism of action as other therapies approved for 
the treatment of R/R CLL/SLL, is not assigned to the same MS-DRG as 
other therapies currently approved for the treatment of R/R CLL/SLL, 
and does not involve treatment of the same or similar type of disease 
and patient population as other CAR T-cell therapies, and that 
therefore, the technology meets the newness criterion. The following 
table summarizes the applicant's assertions regarding the substantial 
similarity criteria. Please see the online application posting for 
BREYANZI[supreg] for the applicant's complete statements in support of 
its assertion that BREYANZI[supreg] is not substantially similar to 
other currently available technologies.

[[Page 18101]]



--------------------------------------------------------------------------------------------------------------------------------------------------------
              Substantial similarity criteria                  Applicant response               Applicant assertions regarding this criterion
--------------------------------------------------------------------------------------------------------------------------------------------------------
Does the technology use the same or similar mechanism of    No.....................  BREYANZI[supreg] is the first CAR T-cell therapy indicated for the
 action to achieve a therapeutic outcome?                                             treatment of R/R CLL/SLL. This mechanism of action is not similar
                                                                                      to any existing technology indicated for the treatment of R/R CLL/
                                                                                      SLL. Existing therapies include BTKis and BCL2is either alone or
                                                                                      in combination with CD20 monoclonal antibodies. These classes of
                                                                                      therapies are typically sequenced with BTKi as the first line of
                                                                                      therapy, then BCL2i as the second line or therapy or vice versa
                                                                                      depending on the preference of the patient and treating physician.
                                                                                      Patients who experience intolerance to or disease progression
                                                                                      after a BTKi and a BCL2i are limited to treatment via recycling of
                                                                                      previous agents (unless refractory), chemoimmunotherapy, non-
                                                                                      covalent BTKi, or phosphatidylinositol 3-kinase inhibitors
                                                                                      (PI3Ki). BTKis, including ibrutinib, acalabrutinib, zanubrutinib,
                                                                                      pirtobrutinib, work by inhibiting the B-cell receptor signaling
                                                                                      pathway through the Bruton Tyrosine Kinase protein. BCL2is,
                                                                                      including venetoclax, work by binding to the BCL2 protein in the
                                                                                      mitochondria leading to apoptosis sensitization. Used in
                                                                                      combination with CD20 monoclonal antibodies, such as rituximab,
                                                                                      obinutuzumab, the two drugs synergize to induce direct induction
                                                                                      of apoptosis, antibody-dependent cell-mediated cytotoxicity and
                                                                                      complement-dependent lysis. Chemoimmunotherapy works through a
                                                                                      variety of mechanisms that disrupt cellular replication leading to
                                                                                      cell death. PI3Kis (idelalisb, duvelisib) work through the
                                                                                      inhibition of the PI3K signaling pathway which regulates multiple
                                                                                      downstream cellular pathways and is often associated with the
                                                                                      development of malignancies. In contrast, BREYANZI[supreg] is a
                                                                                      CAR T-cell therapy. A CAR is an artificial construct introduced
                                                                                      into the DNA of a patient's T cells. The patient's T cells will
                                                                                      then transcribe and translate this DNA into a protein, which
                                                                                      resides at the surface of the T cell, with the extracellular/
                                                                                      targeting domain on the outside of the cell and the costimulatory
                                                                                      and signaling domains, required for T-cell activation, on the
                                                                                      inside of the cell. When the targeting domain binds to its target.
                                                                                      CD19 in the case of BREYANZI[supreg], a signal is transmitted from
                                                                                      the activation and costimulatory domain, that initiates
                                                                                      proliferation of the T cell and secrete compounds that direct the
                                                                                      immune system to kill the cell that is expressing the target. CAR
                                                                                      binding to CD19 expressed in CLL/SLL cells induces activation and
                                                                                      proliferation of CAR T cells, release of pro-inflammatory
                                                                                      cytokines, and cytotoxic killing of target cells. No other therapy
                                                                                      indicated for the treatment of R/R CLL/SLL has this mechanism of
                                                                                      action.
Is the technology assigned to the same MS-DRG as existing   No.....................  ICD-10-PCS codes XW033N7 (Transfusion of lisocabtagene maraleucel
 technologies?                                                                        immunotherapy into peripheral vein) and XW043N7 (Transfusion of
                                                                                      lisocabtagene maraleucel immunotherapy into central vein) are
                                                                                      assigned to MS-DRG 018 (Chimeric Antigen Receptor (CAR) T-cell and
                                                                                      Other Immunotherapies). No other therapies indicated for the
                                                                                      treatment of patients with R/R CLL/SLL are assigned to MS-DRG 018.
                                                                                      Thus, BREYANZI[supreg] is anticipated to be the only technology
                                                                                      indicated for R/R CLL/SLL assigned to MS-DRG 018.
Does new use of the technology involve the treatment of     No.....................  BREYANZI[supreg] is the first CAR T-cell therapy approved for the
 the same/similar type of disease and the same/similar                                treatment of R/R CLL/SLL. Other approved CAR T-cell therapies
 patient population when compared to an existing                                      treat other myelomas or lymphomas but are not sufficiently
 technology?                                                                          analogous to R/R CLL/SLL to be considered the same or a similar
                                                                                      disease or patient population, as described below. Because
                                                                                      BREYANZI[supreg] is the first CAR T-cell therapy, regardless of
                                                                                      target, indicated for the treatment of R/R CLL/SLL, it does not
                                                                                      involve treatment of the same or similar type of disease and
                                                                                      patient population when compared to existing CAR T-cell therapies.
--------------------------------------------------------------------------------------------------------------------------------------------------------

    We note that the applicant asserted that because BREYANZI[supreg] 
is the first CAR T-cell therapy, regardless of target, indicated for 
the treatment of R/R CLL/SLL, it does not involve treatment of the same 
or similar type of disease and patient population as existing 
technologies. However, there are other existing (non-CAR T-cell) 
treatments for patients with R/R CLL/SLL who have received two or more 
prior LOTs including a BTKi and a BCL2i, such as noncovalent BTKis, 
PI3Kis, or allogeneic HSCT, and therefore, we question whether 
BREYANZI[supreg] treats a different type of disease or patient 
population than existing technologies.
    We are inviting public comments on whether BREYANZI[supreg] is 
substantially similar to existing technologies and whether 
BREYANZI[supreg] meets the newness criterion.
    With respect to the cost criterion, the applicant provided an 
analysis to demonstrate that BREYANZI[supreg] meets the cost criterion. 
The analysis followed the order of operations summarized in the 
following table.

                     BREYANZI[supreg] Cost Analysis
------------------------------------------------------------------------
 
------------------------------------------------------------------------
Inclusion/exclusion criteria.  For the Inclusion/Exclusion criteria used
                                in the Cost Analysis, including the data
                                source and lists of ICD-10-CM codes and
                                MS-DRGs used by the applicant, see the
                                cost criterion codes and MS-DRGs
                                attachment included in the online
                                posting for BREYANZI[supreg].
Claims identified............  550 claims mapping to 11 MS-DRGs, with
                                30.00% of claims mapping to MS-DRG 840
                                (Lymphoma and Non-Acute Leukemia with
                                MCC).

[[Page 18102]]

 
Charges removed for prior      Per the applicant, it is possible that
 technology.                    BREYANZI[supreg] could replace other
                                drug therapies during some patients'
                                inpatient stays. The applicant removed
                                100% of drug charges from the identified
                                cases, as it is difficult to identify
                                the exact differences in drug regimens
                                BREYANZI[supreg] patients would receive,
                                both before and in conjunction with
                                administration of BREYANZI[supreg]. The
                                applicant stated this removal likely
                                over-estimates charges for drugs that
                                would be replaced by BREYANZI[supreg],
                                as patients may receive some ancillary
                                drug treatments in conjunction with
                                their BREYANZI[supreg] administration.
                                The applicant did not remove indirect
                                charges related to prior therapies.
Standardized charges.........  The applicant used the standardization
                                formula provided in Appendix A of the
                                application. The applicant used all
                                relevant values reported in the impact
                                file posted with the FY 2025 IPPS/LTCH
                                PPS final rule.
Inflation factor.............  The applicant applied an inflation factor
                                of 12.87% to the standardized charges,
                                based on the inflation factor used to
                                calculate outlier threshold charges in
                                the FY 2025 IPPS/LTCH PPS final rule.
Charges added for the new      The applicant added charges for the new
 technology.                    technology by dividing the cost of the
                                new technology by the national average
                                cost-to-charge ratio of 0.178 for Drugs
                                and Cellular Therapies from the FY 2025
                                IPPS/LTCH PPS final rule. The applicant
                                did not add indirect charges related to
                                the new technology.
Cost analysis results........  Average case-weighted threshold amount:
                                $1,554,026.
                               Final inflated average case-weighted
                                standardized charge per case:
                                $2,759,094.
------------------------------------------------------------------------

    Because the final inflated average case-weighted standardized 
charge per case exceeded the average case-weighted threshold amount in 
all scenarios, the applicant asserted that BREYANZI[supreg] meets the 
cost criterion.
    We are inviting public comments on whether BREYANZI[supreg] meets 
the cost criterion.
    With regard to the substantial clinical improvement criterion, the 
applicant asserted that BREYANZI[supreg] demonstrates a substantial 
clinical improvement because R/R CLL/SLL patients who have received a 
prior BTKi and BCL2i have limited treatment options and outcomes are 
extremely poor. The applicant also asserted that BREYANZI[supreg] is 
the first and only CAR T-cell therapy indicated for this population, 
and in clinical studies, 20 percent of patients treated with 
BREYANZI[supreg] achieved complete response or remission (CR) and 
remained in CR through 22.4 months of follow-up. The applicant provided 
one article and two conference presentations regarding one clinical 
trial, and the BREYANZI[supreg] package insert to support these claims, 
as well as 11 background articles about CLL, SLL, and current treatment 
options.\39\ The following table summarizes the applicant's assertions 
regarding the substantial clinical improvement criterion. Please see 
the online posting for BREYANZI[supreg] for the applicant's complete 
statements regarding the substantial clinical improvement criterion and 
the supporting evidence provided.
---------------------------------------------------------------------------

    \39\ Background articles are not included in the following table 
but can be accessed via the online posting for the technology.

------------------------------------------------------------------------
                                     Supporting evidence provided by the
  Applicant statements in support                 applicant
------------------------------------------------------------------------
 Substantial Clinical Improvement Assertion #1: The technology offers a
treatment option for a patient population unresponsive to, or ineligible
                   for, currently available treatments
------------------------------------------------------------------------
BREYANZI[supreg] is the first and   BREYANZI[supreg] (lisocabtagene
 only CAR T-cell therapy             maraleucel) Prescribing
 specifically approved for the       Information. 2024.
 treatment of R/R CLL and SLL       Siddiqi, T., Maloney, D.G.,
 patients who have received a        Kenderian, S.S., Brander, D.M.,
 prior covalent BTKi and BCL2i.      Dorritie, K., Soumerai, J.,
                                     Riedell, P.A., Shah, N.N., Nath,
                                     R., Fakhri, B., Stephens, D.M., Ma,
                                     S., Feldman, T., Solomon, S.R.,
                                     Schuster, S.J., Perna, S.K.,
                                     Tuazon, S.A., Ou, S.S., Papp, E.,
                                     Peiser. L., Chen, Y., & Wierda,
                                     W.G. (2023a, August 19).
                                     Lisocabtagene maraleucel in chronic
                                     lymphocytic leukaemia and small
                                     lymphocytic lymphoma (TRANSCEND CLL
                                     004): a multicentre, open-label,
                                     single-arm, phase 1-2 study. The
                                     Lancet, 402(10402), 641-654. https://doi.org/10.1016/S0140-6736 6736(23)01052-8.
                                    The applicant also provided
                                     background information to support
                                     this claim, which can be accessed
                                     via the online posting for the
                                     technology.
R/R CLL and SLL patients who        The applicant provided background
 received a prior BTKi and BCL2i     information to support this claim,
 have limited treatment options.     which can be accessed via the
                                     online posting for the technology.
------------------------------------------------------------------------
      Substantial Clinical Improvement Assertion #2: The technology
    significantly improves clinical outcomes relative to services or
                    technologies previously available
------------------------------------------------------------------------
R/R CLL/SLL patients who have       The applicant provided background
 received a prior BTKi and BCL2i     information to support this claim,
 experience poor outcomes on         which can be accessed via the
 existing therapy.                   online posting for the technology.
BREYANZI[supreg] is anticipated to  BREYANZI[supreg] (lisocabtagene
 significantly improve clinical      maraleucel) Prescribing
 outcomes in R/R CLL/SLL patients    Information. 2024.
 who have received prior BTKi and   Siddiqi, 2023a, op. cit.
 BCL2i therapy.                     Siddiqi T, Maloney DG, Kenderian SS,
                                     et al. Lisocabtagene Maraleucel in
                                     Relapsed or Refractory Chronic
                                     Lymphocytic Leukemia/Small
                                     Lymphocytic Lymphoma: 24-Month
                                     Median Follow-up of TRANSCEND CLL
                                     004. Abstract presented at: 2023
                                     ASH Annual Meeting; December 9-12,
                                     2023b; San Diego, CA.
                                    Siddiqi T, Gauthier J, Kenderian SS,
                                     et al. Lisocabtagene Maraleucel
                                     (liso-cel) in Patients (pts) with
                                     Relapsed or Refractory (R/R)
                                     Chronic Lymphocytic Leukemia (CLL)/
                                     Small Lymphocytic Lymphoma (SLL):
                                     Updated Follow-up of Transcend CLL
                                     004. Abstract presented at: 2024
                                     ASH Annual Meeting; December 7-10,
                                     2024; San Diego, CA.
------------------------------------------------------------------------


[[Page 18103]]

    We also received a public comment in response to the New Technology 
Town Hall meeting notice published in the Federal Register regarding 
the substantial clinical improvement criterion for BREYANZI[supreg], 
which we are summarizing in this section.
    Comment: The applicant submitted a public comment in response to 
questions posed at the Town Hall meeting. With regard to a question 
asking about the discrepancy in the number of patients in the full 
efficacy set of the TRANSCEND CLL 004 trial in The Lancet article 
(Siddiqi et al., 2023a) versus the American Society of Hematology (ASH) 
conference slides (Siddiqi et al., 2023b), the applicant stated that, 
in the Siddiqi et al. article (2023a), the conforming status of CAR T-
cell product for one patient was unavailable at data cutoff (September 
29, 2022); therefore, the product for this patient was considered non-
conforming, and the patient was excluded in the efficacy and safety 
analyses that required the receipt of conforming product. The applicant 
further explained that after data cutoff, the patient received 
conforming product, and thus, the ASH conference slides (Siddiqi et 
al., 2023b) included this patient in its safety and efficacy analyses.
    With regard to a question asking the applicant to speak to the 
issue of CR and how the applicant thinks about CR with minimal residual 
disease (MRD) versus nodal response, the applicant stated that the 
TRANSCEND CLL 004 study in the Siddiqi et al., article (2023a) assessed 
participant responses using the 2018 International Workshop on Chronic 
Lymphocytic Leukemia (iwCLL) criteria, which are the regulatory 
standard and based on nodal response and hematopoietic recovery and do 
not include MRD. The applicant further explained that with CLL, 
patients may have bulky lymph nodes, where with treatment, these 
patients may see resolution of nodal burden, but it may not resolve to 
<1.5 cm, which would qualify as a partial response (PR), and not CR per 
the 2018 iwCLL criteria. The applicant stated that there may be no 
evidence of residual disease based on blood or bone marrow measures in 
these patients.
    With regard to a question inquiring how efficacy (overall response 
rate (ORR) and progression-free survival (PFS)) with BREYANZI[supreg] 
compares to other existing therapies (such as Jaypirca[supreg] 
(pirtobrutinib)), and how the applicant considered treatment-emergent 
adverse events (TEAEs) for BREYANZI[supreg] versus other treatments for 
CLL/SLL, the applicant stated that there is limited real-world data 
using other agents in the post-BTKi and -BCL2i treatment setting. Per 
the applicant, these limited data suggest poor outcomes, details of 
which are included in the BREYANZI[supreg] application for new 
technology add-on payments. The applicant referred to the Siddiqi 
(2024) presentation slides, which discussed the effects of BREYANZI on 
the outcomes of all the TRANSCEND CLL 004 subjects (full population) 
and a subset of those with progression on a previously BTKi and 
venetoclax failure (referred to as the primary efficacy analysis set, 
or PEAS, in the rest of this review). According to the applicant, 
Siddiqi et al. (2024) reported the IRC-assessed CR rate of 20 percent 
and ORR of 48 percent for the full population treated with 
BREYANZI[supreg] at DL2, and the IRC-assessed CR of 20 percent and ORR 
of 44 percent for patients in the PEAS cohort. The applicant also noted 
that the Siddiqi (2024) presentation slides reported the median PFS 
(mPFS) of 18 months for the full population and 11.9 months for the 
PEAS cohort. The applicant stated that of the patients who achieved CR 
or incomplete count recovery (CRi), the mPFS was not reached (NR) for 
both the full population and the PEAS population. The applicant noted 
that this efficacy was a result of a single-dose, one-time infusion of 
BREYANZI[supreg], rather than a continuous treatment, and that this 
resulted in favorable long-term outcomes. Regarding toxicities, the 
applicant stated that cytokine response syndrome (CRS) and neurological 
adverse events are unique to cellular therapies and were overall well-
managed in the TRANSCEND CLL 004 study (Siddiqi et al., 2023a), as 
previously described. The applicant added that no new safety signals 
were observed in CLL patients. Per the applicant, other common 
toxicities with cellular therapy include hematologic toxicities, which 
are also inherent with other targeted agents and were managed with 
supportive care.
    According to the applicant, Jaypirca[supreg] (pirtobrutinib), a 
non-covalent BTKi, is the other FDA-approved agent for patients with 
CLL/SLL who have received two or more prior LOTs, including a BTKi and 
BCL2i. Per the applicant, in the phase I-II Jaypirca[supreg] trial, the 
IRC-assessed ORR was reported as 70 percent, the CR rate reported as 0 
percent, and the mPFS reported as 16.8 months.\40\ According to the 
applicant, the trial reported any grade adverse events including 
fatigue (31.5 percent), bleeding (42.6 percent), infections (71.0 
percent), and neutropenia (32.5 percent), which are characteristic of 
this type of targeted agent.
---------------------------------------------------------------------------

    \40\ Mato, A.R., Woyach, J.A., Brown, J.R., Ghia, P., Patel, K., 
Eyre, T.A., Munir, T., Lech-Maranda, E., Lamanna, N., Tam, C.S., 
Shah, N.N., Coombs, C.C., Ujjani, C.S., Fakhri, B., Cheah, C.Y., 
Patel, M.R., Alencar, A.J., Cohen, J.B., Gerson, J.N., Flinn, I.W., 
Ma, S., Jagadeesh, D., Rhodes, J.M., Hernandez-Ilizaliturri, F., 
Zinzani, P.L., Seymour, J.F., Balbas, M., Nair, B., Abada, P., Wang, 
C., Ruppert, A.S., Wang, D., Tsai, D.E., Wierda, W.G., & Jurczak, W. 
(2023b, July 6). Pirtobrutinib after a Covalent BTK Inhibitor in 
Chronic Lymphocytic Leukemia. New England Journal of Medicine, 
389(1), 33-44. https://doi.org/10.1056/NEJMoa2300696.
---------------------------------------------------------------------------

    With regard to a question about the breakdown between rates of CR 
and CRi in the TRANSCEND CLL 004 study (Siddiqi et al., 2023a), the 
applicant stated that the study's primary analysis, which had a data 
cutoff of September 29, 2022, reported that the CR rate was 18.4 
percent (in 9 of 49 patients) and that among the nine patients who 
achieved CR/CRi, eight were in CR and one was in CRi.
    The applicant also reiterated that patients with R/R CLL/SLL who 
have failed prior BTKi and BCL2i treatment experience poor outcomes on 
existing therapy, and BREYANZI[supreg] substantially improved clinical 
outcomes for these patients. The applicant added that 
BREYANZI[supreg]'s outcomes were even more significant when considering 
the established safety profile and the fact that it is a one-time 
infusion treatment rather than continuous treatment.
    Response: We thank the applicant for its comments. After review of 
the information provided by the applicant and the public comment 
received in response to the New Technology Town Hall meeting, we have 
the following concerns regarding whether BREYANZI[supreg] meets the 
substantial clinical improvement criterion. First, we question whether 
there is a particular subpopulation for which BREYANZI[supreg] offers a 
treatment option that is unresponsive to or ineligible for other 
existing therapies. While the applicant asserted that BREYANZI[supreg] 
is the first and only CAR T-cell therapy for this indication, it also 
stated that there are other treatment options for this patient 
population, including non-covalent BTKis, such as Jaypirca[supreg], and 
PI3Ks, such as COPIKTRA[supreg].\41\ We note that being the first CAR 
T-cell therapy for a particular indication relates to mechanism of 
action and is not relevant to the demonstration of substantial clinical 
improvement.
---------------------------------------------------------------------------

    \41\ National Comprehensive Cancer Network. (2024, October 1). 
NCCN Clinical Practice Guidelines in Oncology (NCCN 
Guidelines[supreg]): Chronic Lymphocytic Leukemia/Small Lymphocytic 
Lymphoma. https://www.nccn.org/professionals/physician_gls/pdf/cll.pdf.

---------------------------------------------------------------------------

[[Page 18104]]

    Secondly, while the applicant stated that BREYANZI[supreg] is 
anticipated to significantly improve clinical outcomes in R/R CLL/SLL 
patients who have received prior BTKi and BCL2i therapy, we have 
questions regarding the evidence provided in support of this claim. The 
applicant provided several studies based on the results of the 
TRANSCEND CLL 004 trial, including one published article (Siddiqi et 
al., 2023a), two conference presentations (Siddiqi et al., 2023b; 
Siddiqi et al., 2024), and the BREYANZI[supreg] package insert (2024). 
We note that the TRANSCEND CLL 004 trial was a single-arm study in 
which no historical controls were used to compare the effects of 
BREYANZI[supreg] on clinical outcomes. We also note that the applicant 
acknowledged the caveats inherent with direct cross-study comparisons 
due to differences between patient populations, baseline comorbidities, 
and the number and type of prior treatment regimens that subjects have 
received. In addition, the applicant stated that no head-to-head 
studies exist comparing BREYANZI[supreg] in CLL to currently available 
treatments. At the same time, the applicant asserted that 
BREYANZI[supreg]'s median time to next therapy was considerably longer 
than that observed in a real-world study of patients with CLL/SLL after 
prior treatment with a BTKi and B-cell lymphoma 2 inhibitors (6.6 
months [95 percent CI, 3.6-10.a].\42\ Also, the applicant noted that 
patients with prior BTKi exposure who were venetoclax-na[iuml]ve would 
have improved outcomes had they received BREYANZI[supreg] earlier, 
before other early-line treatments.\43\ We are concerned about the 
validity of comparing the clinical outcomes of BREYANZI[supreg] and 
existing therapies to the extent those clinical outcomes were results 
of trials with different designs, and the patients in those studies 
were selected based on different inclusion/exclusion criteria and may 
have different baseline clinical characteristics. These differences may 
have an impact on clinical outcomes that was independent of 
BREYANZI[supreg] or the comparator treatments. Moreover, we note the 
differing results between BREYANZI[supreg] and other existing therapies 
in terms of the clinical outcomes cited by the applicant. For example, 
as previously described, BREYANZI[supreg] demonstrated a CR rate of 20 
percent and ORR of 44 percent for patients in the PEAS cohort. 
According to the applicant, in a trial in which patients with R/R CLL/
SLL received Jaypirca[supreg], the CR rate and ORR was 0 percent and 70 
percent respectively.\44\ Furthermore, according to the applicant, 
BREYANZI[supreg] resulted in PFS of 11.9 months for patients in the 
PEAS cohort in the TRASNCEND CLL 004 trial. However, we note that in 
the trial in which patients with R/R CLL/SLL received Jaypirca[supreg], 
the PFS was 16.8 months.\45\ We question how these mixed findings 
support the claim that BREYANZI[supreg] represents a substantial 
clinical improvement, given the higher values with respect to the 
existing therapies for particular outcome results.
---------------------------------------------------------------------------

    \42\ Siddiqi (2023b), op.cit.
    \43\ Siddiqi (2024), op.cit.
    \44\ Mato (2023b), op.cit.
    \45\ Mato (2023b), op.cit.
---------------------------------------------------------------------------

    In addition, with respect to the applicant's claims that R/R CLL/
SLL patients who received prior BTKi and BCL2i therapies have limited 
treatment options, and that patients with R/R CLL/SLL have poor 
outcomes on existing therapy, we question whether these claims support 
that BREYANZI[supreg] improves clinical outcomes for this patient 
population.
    We are inviting public comments on whether BREYANZI[supreg] meets 
the substantial clinical improvement criterion.
d. COBENFYTM (Xanomeline and Trospium Chloride)
    Bristol Myers Squibb submitted an application for new technology 
add-on payments for COBENFYTM for FY 2026. According to the 
applicant, COBENFYTM is an oral combination drug consisting 
of xanomeline, a muscarinic agonist, and trospium chloride, a 
muscarinic antagonist, that is indicated for the treatment of 
schizophrenia in adults. Please refer to the online application posting 
for COBENFYTM, available at https://mearis.cms.gov/public/publications/ntap/NTP241007U99FM, for additional detail describing the 
technology and the disease treated by the technology.
    With respect to the newness criterion, according to the applicant, 
COBENFYTM was granted NDA approval from FDA on September 26, 
2024, for the treatment of schizophrenia in adults. The applicant 
stated that COBENFYTM became commercially available on 
October 9, 2024, and stated the delay in availability was due to a 
ramp-up period associated with distribution. We are interested in 
additional information regarding the cause of any delay in the 
technology's commercial availability, such as additional information 
about the ramp-up period for distribution.
    COBENFYTM has 3 approved dose strengths (50 mg/20 mg, 
100 mg/20 mg, and 125 mg/30 mg) in capsule form. The recommended 
starting dosage is one 50 mg/20 mg capsule orally twice daily for at 
least 2 days. The dosage is increased to one 100 mg/20 mg capsule 
orally twice daily for at least 5 days and may be increased thereafter 
to one 125 mg/30 mg capsule orally twice daily based on patient 
tolerability and response. The applicant stated the per day treatment 
cost is the same across all dosages and the average length of stay for 
patients taking COBENFYTM is 7.5 days.
    According to the applicant, there are currently no ICD-10-PCS 
procedure codes to distinctly identify COBENFYTM. We note 
that the applicant submitted a request for approval for a unique ICD-
10-PCS procedure code for COBENFYTM beginning in FY 2026. 
The applicant provided the following list of diagnosis codes that may 
be used to currently identify the indication for COBENFYTM 
under the ICD-10-CM coding system: F20.0 (Paranoid schizophrenia), 
F20.1 (Disorganized schizophrenia), F20.3 (Undifferentiated 
schizophrenia), F20.89 (Other schizophrenia), F20.9 (Schizophrenia, 
unspecified), F25.0 (Schizoaffective disorder, bipolar type), F25.1 
(Schizoaffective disorder, depressive type), F25.8 (Other 
schizoaffective disorders), and F25.9 (Schizoaffective disorder, 
unspecified).
    As previously discussed, if a technology meets all three of the 
substantial similarity criteria under the newness criterion, it would 
be considered substantially similar to an existing technology and would 
not be considered ``new'' for the purpose of new technology add-on 
payments.
    With respect to the substantial similarity criteria, the applicant 
asserted that COBENFYTM is not substantially similar to 
other currently available technologies because it is the first 
treatment for schizophrenia to target muscarinic receptors instead of 
dopamine. Per the applicant, COBENFYTM combines xanomeline, 
a muscarinic agonist, and trospium chloride, a muscarinic antagonist, 
which work together to stimulate muscarinic receptors in the brain 
while minimizing peripheral side effects; and its efficacy, safety, and 
tolerability have been established in acute and long-term trials 
providing a new option for patients; and therefore, the technology 
meets the newness criterion. The following table summarizes the 
applicant's assertions regarding the substantial similarity criteria. 
Please see the online application posting for COBENFYTM for 
the applicant's complete statements in support of its assertion that 
COBENFYTM is not

[[Page 18105]]

substantially similar to other currently available technologies.

--------------------------------------------------------------------------------------------------------------------------------------------------------
              Substantial similarity criteria                  Applicant response               Applicant assertions regarding this criterion
--------------------------------------------------------------------------------------------------------------------------------------------------------
Does the technology use the same or similar mechanism of    No.....................  COBENFY\TM\ targets muscarinic receptors as opposed to dopamine
 action to achieve a therapeutic outcome?                                             receptors, which has long been the standard of care. This novel
                                                                                      mechanism marks a significant breakthrough in schizophrenia
                                                                                      treatment. COBENFY\TM\ is a combination of xanomeline, a
                                                                                      muscarinic agonist, and trospium chloride, a muscarinic
                                                                                      antagonist, indicated for the treatment of schizophrenia in
                                                                                      adults. Per the FDA label, the efficacy of COBENFY\TM\ is thought
                                                                                      to be due to xanomeline's agonist activity at M1 and M4 muscarinic
                                                                                      acetylcholine receptors in the central nervous system. Meanwhile,
                                                                                      trospium chloride antagonizes the muscarinic receptors primarily
                                                                                      in the peripheral tissues and does not measurably cross the blood
                                                                                      brain barrier. In contrast, typical and atypical antipsychotics
                                                                                      antagonize the dopamine receptors as pure antagonists or partial
                                                                                      agonists and antagonists. With its unique mechanism of action,
                                                                                      COBENFY\TM\ represents the first treatment in a distinct class of
                                                                                      drugs for schizophrenia.
Is the technology assigned to the same MS-DRG as existing   Yes....................  The use of COBENFY\TM\ should not impact the MS-DRG assignment and
 technologies?                                                                        COBENFY\TM\ should be assigned to the same MS-DRG as existing
                                                                                      products.
Does new use of the technology involve the treatment of     Yes....................  While COBENFY\TM\ treats the same condition, schizophrenia in
 the same/similar type of disease and the same/similar                                adults, as other available technologies, COBENFY\TM\ stands apart
 patient population when compared to an existing                                      due to the distinct patient population that could benefit from it.
 technology?                                                                          While the current standard of care can be effective in managing
                                                                                      symptoms of schizophrenia, studies have shown that approximately
                                                                                      40% of people with schizophrenia do not respond to therapy, and up
                                                                                      to 60% experience a partial or inadequate improvement or
                                                                                      intolerable side effects during therapy. Side effects from
                                                                                      existing antipsychotics can include sedation, vision impairments,
                                                                                      seizures, neuroleptic malignant syndrome, and motor disturbances,
                                                                                      such as tremors and rigidity. Similarly, atypical antipsychotics
                                                                                      are associated with significant weight gain, hyperlipidemia,
                                                                                      insulin resistance/diabetes, heart-rate corrected QT interval
                                                                                      (QTc) prolongation, extrapyramidal symptoms, tardive dyskinesia,
                                                                                      and sexual dysfunction due to prolactin elevation. Breaking this
                                                                                      cycle of trial and error is critical and highlights the urgent
                                                                                      need for new treatment options. COBENFY\TM\'s unique mechanism of
                                                                                      action and clinical profile provide a new therapeutic option for
                                                                                      patients, many of whom have not responded to prior treatments. Its
                                                                                      efficacy, safety, and tolerability have been demonstrated across
                                                                                      both acute and long-term studies. In all placebo-controlled
                                                                                      clinical trials, COBENFY\TM\ demonstrated statistically
                                                                                      significant reductions in schizophrenia symptoms compared to
                                                                                      placebo as measured by the Positive and Negative Syndrome Scale
                                                                                      (PANSS) total score, the primary endpoint in the trial. While
                                                                                      common adverse reactions of COBENFY\TM\ included nausea and
                                                                                      dyspepsia, more severe gastrointestinal issues were rare.
                                                                                      Additionally, COBENFY\TM\ does not have atypical antipsychotic
                                                                                      class warnings and precautions and does not have a boxed warning.
                                                                                      COBENFY\TM\'s favorable side effect profile, coupled with its
                                                                                      efficacy, positions it as a valuable alternative for patients,
                                                                                      including those who are unable or unwilling to take typical or
                                                                                      atypical antipsychotics due to adverse events.
--------------------------------------------------------------------------------------------------------------------------------------------------------

    We are inviting public comments on whether COBENFYTM is 
substantially similar to existing technologies and whether 
COBENFYTM meets the newness criterion.
    With respect to the cost criterion, the applicant provided an 
analysis to demonstrate that COBENFYTM meets the cost 
criterion. The analysis followed the order of operations summarized in 
the following table.

                                            COBENFY\TM\ Cost Analysis
----------------------------------------------------------------------------------------------------------------
 
----------------------------------------------------------------------------------------------------------------
Inclusion/exclusion criteria...........  For the Inclusion/Exclusion criteria used in the Cost Analysis,
                                          including the data source and lists of ICD-10-CM codes and MS-DRGs
                                          used by the applicant, see the cost criterion codes and MS-DRGs
                                          attachment included in the online posting for COBENFY\TM\.
Claims identified......................  24,817 claims mapping to 9 MS-DRGs, with 93.45% of claims mapping to MS-
                                          DRG 885 (Psychoses).
Charges removed for prior technology...  The applicant did not remove direct or indirect charges related to the
                                          prior technology. Per the applicant, patients admitted to the hospital
                                          for schizophrenia treatment need to be stabilized. The applicant
                                          anticipated that patients will continue to receive their traditional
                                          treatments to maintain consistent care and that COBENFY\TM\ will be an
                                          additive treatment during a switching period where prescribers
                                          transition from traditional treatments to COBENFY\TM\ as a
                                          monotherapy.
Standardized charges...................  The applicant used the standardization formula provided in Appendix A
                                          of the application. The applicant used all relevant values reported in
                                          the impact file posted with the FY 2025 IPPS/LTCH PPS final rule.
Inflation factor.......................  The applicant applied an inflation factor of 12.87% to the standardized
                                          charges, based on the inflation factor used to calculate outlier
                                          threshold charges in the FY 2025 IPPS/LTCH PPS final rule.
Charges added for the new technology...  The applicant added charges for the new technology by dividing the
                                          average cost of the new technology per inpatient stay (treatment cost
                                          per day multiplied by an average 7.5 days per inpatient stay) by the
                                          national average cost-to-charge ratio of 0.178 for Drugs and Cellular
                                          Therapies from the FY 2025 IPPS/LTCH PPS final rule. The applicant did
                                          not add indirect charges related to the new technology.

[[Page 18106]]

 
Cost analysis results..................  Average case-weighted threshold amount: $43,788.
                                         Final inflated average case-weighted standardized charge per case:
                                          $44,511.
----------------------------------------------------------------------------------------------------------------

    Because the final inflated average case-weighted standardized 
charge per case exceeded the average case-weighted threshold amount, 
the applicant asserted that COBENFYTM meets the cost 
criterion.
    We are inviting public comments on whether COBENFYTM 
meets the cost criterion.
    With regard to the substantial clinical improvement criterion, the 
applicant asserted that COBENFYTM represents a substantial 
clinical improvement over existing technologies because it is a first-
in-class muscarinic agonist offering a new approach to treating 
schizophrenia by selectively targeting muscarinic receptors in the 
brain without targeting dopamine. The applicant further asserted that 
COBENFYTM has the potential to improve outcomes by 
addressing both positive and negative symptoms, which current drugs 
often inadequately manage, and that its unique mechanism reduces the 
risk of dopamine-related side effects, such as tardive dyskinesia (TD). 
The applicant stated that for these reasons, COBENFYTM 
offers a treatment option for adult patients with schizophrenia who are 
unresponsive to, or ineligible for, currently available treatments and 
significantly improves clinical outcomes relative to existing 
treatments. The applicant provided six articles regarding five studies 
to support these claims. We also note that two additional articles 
(Cornett et al., 2017 and Lieberman et al., 2005) \46\ submitted as 
supporting evidence would more appropriately be characterized as 
background articles because they do not directly assess the use of 
COBENFYTM.47 48 Instead, Cornett, et al. (2017) 
is a literature review of medication-induced TD, and Lieberman, et al. 
(2005) is a study reviewing the efficacy and side effect profile of 
other antipsychotic drugs in chronic schizophrenia. The following table 
summarizes the applicant's assertions regarding the substantial 
clinical improvement criterion. Please see the online posting for 
COBENFYTM for the applicant's complete statements regarding 
the substantial clinical improvement criterion and the supporting 
evidence provided.
---------------------------------------------------------------------------

    \46\ Background articles are not included in the following table 
but can be accessed via the online posting for the technology.
    \47\ Cornett, E.M., Novitch, M., Kaye, A.D., Kata, V., Kaye, 
A.M. Medication-Induced Tardive Dyskinesia: A Review and Update. 
Ochsner J. 2017 Summer;17(2):162-174. PMID: 28638290; PMCID: 
PMC5472076.
    \48\ Lieberman, J.A., Stroup, T.S., McEvoy, J.P., Swartz, M.S., 
Rosenheck, R.A., Perkins, D.O., . . . & Hsiao, J.K. (2005). 
Effectiveness of antipsychotic drugs in patients with chronic 
schizophrenia. The New England Journal of Medicine, 353(12), 1209-
1223. https://doi.org/10.1056/NEJMoa051688.

----------------------------------------------------------------------------------------------------------------
    Applicant statements in support                   Supporting evidence provided by the applicant
----------------------------------------------------------------------------------------------------------------
Substantial Clinical Improvement Assertion #1: The technology offers a treatment option for a patient population
                       unresponsive to, or ineligible for, currently available treatments
----------------------------------------------------------------------------------------------------------------
COBENFY\TM\'s proven efficacy and side   Amy Claxton, George Konis, Inder Kaul, Andrew C. Miller, Steven M.
 effect profile make it a valuable        Paul, Stephen K. Brannan, Ronald Marcus (2024). Long-Term Metabolic
 option for patients who respond          Outcomes Associated With KarXT (Xanomeline and Trospium): Interim
 inadequately to current treatments.      Results From Pooled, Long-Term Safety Studies EMERGENT-4 and EMERGENT-
                                          5. Presentation at the 2024 Annual Conference of the Schizophrenia
                                          International Research Society (SIRS), April 3-7, 2024, Florence,
                                          Italy.
                                         Kaul I, Sawchak S, Correll CU, Kakar R, Breier A, Zhu H, Miller AC,
                                          Paul SM, Brannan SK. Efficacy and safety of the muscarinic receptor
                                          agonist KarXT (xanomeline-trospium) in schizophrenia (EMERGENT-2) in
                                          the USA: results from a randomised, double-blind, placebo-controlled,
                                          flexible-dose phase 3 trial. Lancet. 2024a Jan 13;403(10422):160-170.
                                          doi: 10.1016/S0140-6736(23)02190-6. Epub 2023 Dec 14. Erratum in:
                                          Lancet. 2024a Jun 1;403(10442):2380. doi: 10.1016/S0140-6736(24)01041-
                                          9. PMID: 38104575.
                                         Kaul I, Sawchak S, Walling DP, Tamminga CA, Breier A, Zhu H, Miller AC,
                                          Paul SM, Brannan SK. Efficacy and Safety of Xanomeline-Trospium
                                          Chloride in Schizophrenia: A Randomized Clinical Trial. JAMA
                                          Psychiatry. 2024b Aug 1;81(8):749-756. doi: 10.1001/
                                          jamapsychiatry.2024.0785. Erratum in: JAMA Psychiatry. 2024 Aug
                                          1;81(8):846. doi: 10.1001/jamapsychiatry.2024.2002. PMID: 38691387;
                                          PMCID: PMC11063924.
COBENFY\TM\, due to its distinctive      Brannan SK, Sawchak S, Miller AC, Lieberman JA, Paul SM, Breier A.
 mechanism of action, may be an           Muscarinic Cholinergic Receptor Agonist and Peripheral Antagonist for
 effective treatment option for           Schizophrenia. N Engl J Med. 2021 Feb 25;384(8):717-726. doi: 10.1056/
 patients experiencing disruptive         NEJMoa2017015. PMID: 33626254; PMCID: PMC7610870.
 negative symptoms.                      Kaul, 2024a, op. cit.
                                         Kaul, 2024b, op. cit.
                                         Weiden PJ, Breier A, Kavanagh S, et al. Antipsychotic efficacy of
                                          xanomeline-trospium: post hoc analysis of Positive and Negative
                                          Syndrome Scale categorical response rates, time course of response,
                                          and symptom domains of response in a phase 2 study. J Clin Psychiatry.
                                          2022;83(3):21m14316.
----------------------------------------------------------------------------------------------------------------
 Substantial Clinical Improvement Assertion #2: The technology significantly improves clinical outcomes relative
                                to services or technologies previously available
----------------------------------------------------------------------------------------------------------------
COBENFY\TM\ improves clinical outcomes   Scott Vuocolo, William P. Horan, Amy Claxton, Steven D. Targum, Inder
 by demonstrating a long-term reduction   Kaul, Sharon Sawchak, Andrew C. Miller, Steven M. Paul, Stephen K.
 in positive and negative symptoms of     Brannan. (2024, May). Efficacy of KarXT on Negative Symptoms in Acute
 schizophrenia and a persistently well-   Schizophrenia: An Analysis of Pooled Data From 3 Trials. In Annual
 tolerated side-effect profile after a    Meeting of the World Congress Collegium Internationale Neuro-
 year.                                    Psychopharmacologicum (CINP).

[[Page 18107]]

 
COBENFY\TM\ offers a side-effect         Kaul, 2024a, op. cit.
 profile that addresses a significant    Kaul, 2024b, op. cit.
 gap in antipsychotic treatment and has
 the potential to enhance outcomes by
 improving tolerability and expanding
 treatment options.
COBENFY\TM\ has the potential to         Brannan, 2021, op. cit.
 improve clinical outcomes due to its    Kaul, 2024a, op. cit.
 demonstrated efficacy in addressing     Kaul, 2024b, op. cit.
 both negative and positive symptoms of  Weiden, 2022, op. cit.
 schizophrenia.
COBENFY\TM\ demonstrates statistically   Brannan, 2021, op. cit.
 significant and clinically meaningful   Kaul, 2024b, op. cit.
 reductions in the severity of illness,
 as measured by the Clinical Global
 Impressions-Severity scale (CGI-S),
 compared to placebo.
----------------------------------------------------------------------------------------------------------------

    We also received a public comment in response to the New Technology 
Town Hall meeting notice published in the Federal Register regarding 
the substantial clinical improvement criterion for 
COBENFYTM, which we are summarizing in this section.
    Comment: The applicant submitted a public comment in response to 
questions posed at the Town Hall meeting and provided additional 
information.
    With regard to a question asking whether there was a statistically 
significant degree of long-term improvement for patients treated with 
COBENFYTM compared to placebo, the applicant referenced 
EMERGENT-4, a 52-week phase III outpatient, open-label extension 
clinical trial included with its application. The applicant stated that 
participants in this trial previously completed the treatment period of 
either the EMERGENT-2 or EMERGENT-3 trial, two 5-week, double-blind, 
placebo-controlled, phase III inpatient clinical trials and regardless 
of which treatment patients received in the EMERGENT-2 or EMERGENT-3 
trial, all patients received COBENFYTM after week 5 during 
the open-label extension period (EMERGENT-4). The applicant noted that 
the EMERGENT-4 trial found that long-term treatment with 
COBENFYTM was associated with improvements in schizophrenia 
symptoms, regardless of participants' initial group during EMERGENT-2 
and EMERGENT-3, and improvements were maintained throughout the study 
period. The applicant stated that, therefore, it expected no 
differences in symptom reduction between the two groups during the 
EMERGENT-4 study period. The applicant stated that the publication 
manuscript is currently in development with planned submission to a 
clinical journal in early 2025.
    With regard to a request for clarification as to the source of 
effect size data referenced during the Town Hall meeting, the applicant 
stated there are two large meta-analyses that report effect size ranges 
for first-generation (typical) and second-generation (atypical) 
antipsychotics, and that in these analyses, the effect size of commonly 
used antipsychotics in the U.S. ranges from 0.3 to 
0.56.49 50 We note that effect size in these studies refer 
to treatments' mean differences, standardized mean differences, or risk 
ratios with 95 percent CIs in comparison to placebo.
---------------------------------------------------------------------------

    \49\ Leucht, S., Cipriani, A., Spineli, L., Mavridis, D., 
[Ouml]rey, D., Richter, F., Samara, M., Barbui, C., Engel, R.R., 
Geddes, J.R., Kissling, W., Stapf, M.P., L[auml]ssig, B., Salanti, 
G., & Davis, J.M. (2013). Comparative efficacy and tolerability of 
15 antipsychotic drugs in schizophrenia: a multiple-treatments meta-
analysis. The Lancet, 382(9896), 951-962. https://doi.org/10.1016/s0140-6736(13)60733-3.
    \50\ Huhn, M., Nikolakopoulou, A., Schneider-Thoma, J., Krause, 
M., Samara, M., Peter, N., Arndt, T., B[auml]ckers, L., Rothe, P., 
Cipriani, A., Davis, J., Salanti, G., & Leucht, S. (2019). 
Comparative Efficacy and Tolerability of 32 Oral Antipsychotics for 
the Acute Treatment of Adults with multi-episode schizophrenia: a 
Systematic Review and Network meta-analysis. The Lancet, 394(10202). 
https://doi.org/10.1016/s0140-(19)31135-3.
---------------------------------------------------------------------------

    With regard to a question asking for additional information as to 
the clinical significance of a 1.0-point improvement in PANSS negative 
subscale, the applicant stated it is generally accepted that a mean 
reduction of 15 points or greater from baseline on the PANSS total 
score, which evaluates positive and negative symptoms of schizophrenia, 
is considered clinically meaningful. The applicant also stated that 
across EMERGENT-1, EMERGENT-2, and EMERGENT-3 clinical trials, patients 
treated with COBENFYTM demonstrated statistically 
significant improvements in symptoms compared to placebo, with a mean 
PANSS total score reduction of >=15 points from baseline. Further, the 
applicant stated that all three trials evaluated the change in PANSS 
negative score from baseline as a secondary efficacy endpoint, and 
while there is less consensus regarding a clinically meaningful 
threshold for the PANSS negative subscale score, COBENFYTM 
demonstrated statistically significant PANSS negative subscale score 
reductions compared to placebo in the EMERGENT-1 and EMERGENT-2 
clinical trials, with a least squares mean difference of -2.3 (p<0.001) 
and -1.8 (p=0.0055), respectively. The applicant noted that none of the 
three studies enrolled a patient population enriched for negative 
symptoms, and currently, there are no FDA-approved medications for the 
specific treatment of negative schizophrenia symptoms.
    With regard to an inquiry for additional information on long-term 
medication adherence in adult patients treated with 
COBENFYTM compared to other schizophrenia treatments, the 
applicant stated that it will initiate a real-world, prospective, 
patient registry study to understand COBENFYTM usage 
patterns and COBENFYTM's potential impacts among U.S. adults 
with schizophrenia.
    Response: We thank the applicant for its comments. After review of 
the information provided by the applicant and the public comment 
received in response to the New Technology Town Hall meeting, we have 
the following concerns regarding whether COBENFYTM meets the 
substantial clinical improvement criterion. We note that the applicant 
did not identify a patient population for which

[[Page 18108]]

COBENFYTM could be used that is unresponsive to or 
ineligible for other available treatments. The applicant asserted that 
COBENFYTM's efficacy and side effect profile make it a 
valuable option for patients who respond inadequately to current 
treatments and that COBENFYTM may be an effective treatment 
option for patients experiencing disruptive negative symptoms. To 
support these assertions, we note that the applicant provided data on 
COBENFYTM from three 5-week, randomized, double-blind trials 
(EMERGENT-1, EMERGENT-2, and EMERGENT-3) that compared 
COBENFYTM to placebo and from two unpublished 52-week open-
label trials (EMERGENT-4 and EMERGENT-5). While the exclusion criteria 
are unknown for EMERGENT-5, we note that the other trials excluded 
patients with a history of treatment resistance to schizophrenia 
medications, and we therefore question how the trials demonstrate that 
COBENFYTM can treat patients unresponsive to other 
therapies. In addition, we did not receive data indicating that other 
antipsychotics cannot manage negative symptoms. We also note that if a 
patient experiences a side effect on one antipsychotic, they may not 
experience the same side effect on another antipsychotic. Similarly, if 
one antipsychotic does not work for a patient, it does not necessarily 
mean another typical or atypical antipsychotic would not work for that 
patient. Therefore, we question if COBENFYTM is the only 
treatment option for patients with inadequate response to current 
treatments or for those experiencing negative symptoms.
    The applicant also asserted that COBENFYTM significantly 
improves outcomes relative to previously available therapies. To 
support this assertion, the applicant provided data from three 5-week 
clinical trials (EMERGENT-1, EMERGENT-2, and EMERGENT-3) that compared 
COBENFYTM to placebo and a literature review on TD (Cornett 
et al., 2017). However, COBENFYTM was compared to placebo in 
these trials, and data was not provided comparing COBENFYTM 
to currently available therapies. We note that, per the applicant, 
there are more than 20 FDA-approved therapies for schizophrenia, and we 
are interested in additional information comparing clinical outcomes 
with COBENFYTM to these therapies, such as with regard to 
reduction in symptoms of schizophrenia and/or side effects, improved 
medication adherence, or other outcomes described under the regulations 
at Sec.  412.87(b)(1)(ii)(C), to inform an assessment of whether 
COBENFYTM provides a substantial clinical improvement over 
existing treatment options.
    In addition, with respect to the claim that COBENFYTM 
offers a side-effect profile that has the potential to enhance outcomes 
by improving tolerability and expanding treatment options, the 
applicant stated that the provided literature review on TD (Cornett et 
al., 2017) supports the theory that blockade of dopamine receptors by 
dopamine antagonists contributes to the development of TD, which 
COBENFYTM does not affect. We note that the study stated 
that typical antipsychotics are the most likely to cause TD while 
atypical antipsychotics may be associated with a decreased prevalence 
of TD, and we, therefore, are unclear if the applicant is stating that 
COBENFYTM may reduce the prevalence of TD only compared to 
typical antipsychotics. We also note that this literature review only 
discussed TD, which is one potential side effect of some schizophrenia 
treatments, and no other provided evidence related to rates of other 
potential side effects seen with existing schizophrenia treatment 
options such as cardiac arrhythmias, metabolic syndrome, and tremor 
were compared to the rates for COBENFYTM. We would 
appreciate further information comparing the overall benefit-risk 
profile of COBENFYTM to previously available antipsychotics 
in order to assess if COBENFYTM provides a substantial 
clinical improvement over other available therapies. We also note that 
the applicant stated that the EMERGENT trials demonstrated that 
COBENFYTM is well-tolerated and that measures of 
extrapyramidal symptoms, weight gain, and somnolence were similar 
between groups. However, given that the trials were only 5 weeks in 
duration and some side effects, such as tardive dyskinesia, can take 
longer to occur, we question whether these rates of adverse events may 
increase over time. For these reasons, we question the assertion that 
COBENFYTM improves tolerability and side-effects relative to 
previously available therapies.
    The applicant claimed that COBENFYTM demonstrates 
statistically significant and clinically meaningful reductions in the 
severity of illness compared to placebo, as measured by the Clinical 
Global Impression-Severity (CGI-S) scale. According to the applicant, 
the CGI-S is a global assessment tool used to rate the overall severity 
of a patient's illness, and rather than being specific to positive, 
negative, or cognitive symptoms, it instead gives an overall sense of 
how severe schizophrenia is perceived to be at a given time. However, 
we question long-term efficacy, given that the only data submitted for 
this claim was from two 5-week trials (EMERGENT-1 and EMERGENT-3).
    We are inviting public comments on whether COBENFYTM 
meets the substantial clinical improvement criterion.
e. DuraGraft[supreg] (Vascular Conduit Solution)
    Marizyme, Inc. submitted an application for new technology add-on 
payments for DuraGraft[supreg] for FY 2026. Per the applicant, 
DuraGraft[supreg] is a first-in-class product used during coronary 
artery bypass grafting surgery (CABG) in adult patients to protect the 
vascular endothelia of harvested vascular grafts during the ischemic 
graft storage interval. As noted in the FY 2024 IPPS/LTCH PPS proposed 
rule (88 FR 26795), Somahlution, Inc., acquired by Marizyme, Inc. in 
2020, submitted and withdrew applications for new technology add-on 
payments for DuraGraft[supreg] for FY 2018 and FY 2019. The applicant 
also submitted an application for new technology add-on payments for FY 
2020 and FY 2024, as summarized in the FY 2020 and FY 2024 IPPS/LTCH 
PPS proposed rules (84 FR 19305 through 19312, 88 FR 26795 through 
26803), that it withdrew prior to the issuance of the FY 2020 and FY 
2024 IPPS/LTCH PPS final rules (84 FR 42194, 88 FR 58804), 
respectively. The applicant also submitted an application for new 
technology add-on payments for FY 2025, but its application was not 
approved in the FY 2025 IPPS/LTCH PPS final rule because we were unable 
to determine that DuraGraft[supreg] represents a substantial clinical 
improvement over existing therapies (89 FR 69149).
    Please refer to the online application posting for 
DuraGraft[supreg] available at https://mearis.cms.gov/public/publications/ntap/NTP241007PUDEH, for additional detail describing the 
technology and the disease treated by the technology.
    With respect to the newness criterion, according to the applicant, 
DuraGraft[supreg] was granted De Novo classification from FDA on 
October 4, 2023, as a solution indicated for adult patients undergoing 
CABG and is intended for flushing and storage of the saphenous vein 
grafts from harvesting through grafting for up to 4 hours. The 
applicant also stated that it received clearance from FDA for a labeled 
storage temperature change from refrigerated to controlled room 
temperature for DuraGraft[supreg] through a Special 510(k) in May 2024 
so that it

[[Page 18109]]

could be stored in the OR. The applicant stated that it chose to launch 
the DuraGraft[supreg] product upon this label change, and that 
DuraGraft[supreg] will become commercially available on March 31, 2025. 
The applicant stated the refrigerated product was not placed on the US 
market, nor will it be, as only the controlled room temperature 
DuraGraft[supreg] product will be placed on the market. The applicant 
further explained that manufacturing with the updated labels could not 
begin until new labels were allowed by FDA, ordered from suppliers, and 
accepted into the Contract Manufacturing Organization Quality 
Management System (CMO QMS), which, per the applicant, is a process 
that takes 3 to 4 months. We would appreciate additional information 
regarding the cause for any delay in the technology's commercial 
availability.
    The applicant stated that, effective October 1, 2017, the following 
ICD-10-PCS code may be used to uniquely describe procedures involving 
the use of DuraGraft[supreg]: XY0VX83 (Extracorporeal introduction of 
endothelial damage inhibitor to vein graft, new technology group 3). 
The applicant provided a list of diagnosis codes that may be used to 
currently identify the indication for DuraGraft[supreg] under the ICD-
10-CM coding system. Please refer to the online application posting for 
the complete list of ICD-10-CM codes provided by the applicant.
    As previously discussed, if a technology meets all three of the 
substantial similarity criteria under the newness criterion, it would 
be considered substantially similar to an existing technology and would 
not be considered ``new'' for the purpose of new technology add-on 
payments.
    With respect to the substantial similarity criteria, the applicant 
asserted that DuraGraft[supreg] is not substantially similar to other 
currently available technologies because DuraGraft[supreg] is a first-
in-class product for use in adult patients undergoing CABG surgery and 
received FDA marketing authorization via a De Novo pathway. The 
following table summarizes the applicant's assertions regarding the 
substantial similarity criteria. Please see the online application 
posting for DuraGraft[supreg] for the applicant's complete statements 
in support of its assertion that DuraGraft[supreg] is not substantially 
similar to other currently available technologies.

----------------------------------------------------------------------------------------------------------------
                                     Applicant
Substantial similarity criteria      response              Applicant assertions regarding this criterion
----------------------------------------------------------------------------------------------------------------
Does the technology use the      No..............  DuraGraft[supreg] is a first-in-class product and there is no
 same or similar mechanism of                       product that is similar with similar mechanism of action.
 action to achieve a                                Also, the response to FY2025 NTAP application concurred that
 therapeutic outcome?                               DuraGraft met the Newness Criterion and since then there are
                                                    still no other technologies or products that have been
                                                    introduced into the market that are similar or with similar
                                                    mechanism of action.
Is the technology assigned to    Yes.............  MS-DRGs used during CABG surgery are aligned to the same MS-
 the same MS-DRG as existing                        DRGs for which DuraGraft[supreg] is indicated.
 technologies?
Does new use of the technology   Yes.............  DuraGraft[supreg] is used in the CABG patient population;
 involve the treatment of the                       however, there are no existing products with the same
 same/similar type of disease                       indication as DuraGraft[supreg] nor are there existing
 and the same/similar patient                       products similar to DuraGraft[supreg] used during CABG
 population when compared to an                     surgery.
 existing technology?
----------------------------------------------------------------------------------------------------------------

    We note that in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69142 
through 69143), we agreed that DuraGraft[supreg] has a unique mechanism 
of action compared to other vein graft storage solutions because it 
creates a reducing environment for vascular grafts to prevent oxidative 
damage which occurs during ischemic storage of grafts.
    We are inviting public comments on whether DuraGraft[supreg] is 
substantially similar to existing technologies and whether 
DuraGraft[supreg] meets the newness criterion.
    With respect to the cost criterion, the applicant provided an 
analysis to demonstrate that DuraGraft[supreg] meets the cost 
criterion. The analysis followed the order of operations summarized in 
the following table.

                                         DuraGraft[supreg] Cost Analysis
----------------------------------------------------------------------------------------------------------------
 
----------------------------------------------------------------------------------------------------------------
Inclusion/exclusion criteria...........  For the Inclusion/Exclusion criteria used in the Cost Analysis,
                                          including the data source and lists of ICD-10-CM codes, ICD-10-PCS
                                          codes, and MS-DRGs used by the applicant, see the cost criterion codes
                                          and MS-DRGs attachment included in the online posting for
                                          DuraGraft[supreg].
Claims identified......................  32,602 claims mapping to 65 MS-DRGs, with none exceeding more than
                                          22.69% of the total identified cases.
Charges removed for prior technology...  The applicant removed 100% of blood charges and 25% of the charges
                                          associated with medical/surgical supplies for each case. The applicant
                                          did not remove indirect charges related to the prior technology.
Standardized charges...................  The applicant used the standardization formula provided in Appendix A
                                          of the application. The applicant used all relevant values reported in
                                          the impact file posted with the FY 2023 IPPS/LTCH PPS final rule
                                          correcting amendment.
Inflation factor.......................  The applicant applied an inflation factor of 12.87% to the standardized
                                          charges, based on the inflation factor used to calculate outlier
                                          threshold charges in the FY 2025 IPPS/LTCH PPS final rule.
Charges added for the new technology...  The applicant added charges for the new technology by dividing the cost
                                          of DuraGraft[supreg] by the national average cost-to-charge ratio of
                                          0.297 for Supplies & Equipment from the FY 2025 IPPS/LTCH PPS final
                                          rule. The applicant did not add indirect charges related to the new
                                          technology.
Cost analysis results..................  Average case-weighted threshold amount: $245,963.
                                         Final inflated average case-weighted standardized charge per case:
                                          $312,912.
----------------------------------------------------------------------------------------------------------------

    Because the final inflated average case-weighted standardized 
charge per case exceeded the average case-weighted threshold amount, 
the applicant asserted that DuraGraft[supreg] meets the cost criterion.
    We are inviting public comments on whether DuraGraft[supreg] meets 
the cost criterion.

[[Page 18110]]

    With regard to the substantial clinical improvement criterion, the 
applicant asserted that DuraGraft[supreg] represents a substantial 
clinical improvement over existing technologies because 
DuraGraft[supreg] significantly improves clinical outcomes including 
reducing long-term adverse events and mortality, improving myocardial 
protection and event-free survival, and reducing vein graft wall 
thickness compared to other intraoperative vein-graft preservation 
solutions. The applicant provided six documents to support these 
claims, including five studies and a pre-publication version of one of 
the studies, as well as a supplemental attachment providing responses 
to CMS's concerns and decision regarding the applicant's FY 2025 
application for new technology add-on payments for DuraGraft[supreg], 
as discussed in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69147 
through 69149). The applicant also provided 44 background articles.\51\ 
Please see the online posting for DuraGraft[supreg] for the applicant's 
complete statements regarding the substantial clinical improvement 
criterion and the supporting evidence provided.
---------------------------------------------------------------------------

    \51\ Background articles are not included in the following table 
but can be accessed via the online posting for the technology.

----------------------------------------------------------------------------------------------------------------
    Applicant statements in support                   Supporting evidence provided by the applicant
----------------------------------------------------------------------------------------------------------------
 Substantial Clinical Improvement Assertion #1: The technology significantly improves clinical outcomes relative
                                to services or technologies previously available
----------------------------------------------------------------------------------------------------------------
Reduced Long-term Repeat                 Haime, M, McLean RR, and Kurgansky KE, et al (2018). Relationship
 Revascularization.                       between intra-operative vein graft treatment with DuraGraft[supreg] or
                                          saline and clinical outcomes after coronary artery bypass grafting,
                                          Expert Review of Cardiovascular Therapy, 16:12, 963-970. DOI: 10.1080/
                                          14779072.2018.1532289.
                                         Lopez-Menendez J, Castro-Pinto M, Fajardo E, Miguelena J, Martin M,
                                          Munoz R, Rodriguez-Roda J. Vein graft preservation with anendothelial
                                          damage inhibitor in isolated coronary artery bypass surgery: an
                                          observational propensity score-matched analysis. J Thorac Dis
                                          2023;15(10):5549-5558.
                                         Marizyme, Inc. Substantial Clinical Improvement Discussion.
                                         The applicant provided background information to support this claim,
                                          which can be accessed via the online posting for the technology.
Reduced 12 mo. Overall Mean Wall         Perrault, LP, Carrier, M, and Voisine, P, et al (2021). Sequential
 Thickness (Whole Graft Analysis).        multidetector computed tomography assessments after venous graft
                                          treatment solution in coronary artery bypass grafting. Journal of
                                          Thoracis and Cardiovascular Surgery. Jan. 2021, Vol. 161, Number 1, 96-
                                          106. https://doi.org/10.1016/j.jtcvs.2019.10.115.
Improved Myocardial Protection.........  Szalkiewicz, P, Emmert, MY, and Heinisch, PP, et al (2022). Graft
                                          Preservation confers myocardial protection during coronary artery
                                          bypass grafting. Frontiers in Cardiovascular Medicine, July 2022, pp 1-
                                          10. DOI 10.3389/fcvm.2022.922357.
Reduction of long-term major adverse     Haime, 2018, op. cit.
 cardiovascular events (MACE).           Lopez-Menendez, 2023, op. cit.
Reduced Mortality for at Least 3 Years   Caliskan E, Misfeld M, Sandner, S, et al. Transatlantic analysis of
 post-CABG.                               patient profiles and mid-term survival after isolated coronary artery
                                          bypass grafting: a head-to-head comparison between the European
                                          DuraGraft Registry and the US STS Registry. Frontiers in
                                          Cardiovascular Medicine, Sept 2024, DOI 10.3389\fcmv.2024.1366460.
                                         Marizyme (2023) Internal Study Report Safety of DuraGraft: A Comparison
                                          to Standard of Care Graft Storage Solutions in Isolated CABG Patients
                                          in the Largest Worldwide CABG Registry 3-Year Follow-up Post-Market
                                          DuraGraft Registry vs. Standard of Care CABG in the STS Database.
                                         Unpublished.
Significantly Better Event-free          Lopez-Menendez, 2023, op. cit.
 Survival in Diabetic Patients and
 Those with Two or More SVGs.
Decreased Rate of Change from 1-12       Perrault, 2021, op. cit.
 months for Maximum Graft Narrowing
 (Focal Stenosis).
Reduced Long-term Non-fatal myocardial   Haime, 2018, op. cit.
 infarction (MI).
----------------------------------------------------------------------------------------------------------------

    We received a public comment in response to the New Technology Town 
Hall meeting notice published in the Federal Register regarding the 
substantial clinical improvement criterion for DuraGraft[supreg], which 
we summarize in this section.
    Comment: The applicant submitted a public comment to address 
questions raised at the Town Hall meeting. In response to questions 
asking about why DuraGraft[supreg] has an impact at 36-months and about 
results observed within 15 minutes post flushing and storage, the 
applicant referred to a peer-reviewed journal article by Pachuk et al. 
(2019) study, which compared the viability of human saphenous vein 
(HSV) segments flushed and submerged in either (a) DuraGraft[supreg] 
for one hour or heparinized saline (b) one hour, (c) 15 minutes or (d) 
30 minutes and then stained for viability.\52\ The applicant submitted 
this article as background information as part of its FYs 2024, 2025, 
and 2026 new technology add-on payment applications. Per the applicant, 
the data showed that storage in saline resulted in loss of cell 
viability within 15 minutes and almost complete loss of viability 
following 30 minutes exposure to saline. The applicant noted that in 
contrast, viability of HSV segments is maintained following one hour 
storage/flushing with DuraGraft[supreg] (and even after several hours), 
which means that the vein segments must also have been viable earlier 
at 15 and 30 minutes; a time at which vein segments were dying or dead 
in saline. Per the applicant, it is therefore concluded that 
DuraGraft[supreg] provides a benefit even at 15-30 minutes of storage 
and flushing. The applicant also clarified how a single intraoperative 
exposure to DuraGraft[supreg]

[[Page 18111]]

can affect clinical outcomes years later. The applicant explained that 
DuraGraft[supreg] mitigates oxidative damage during bypass surgery, 
thereby reducing ischemia reperfusion injury (IRI) and its long-term 
effects.53 54 The applicant noted that IRI, characterized by 
oxidative stress and inflammation, leads to vein graft disease (VGD), 
which progresses through stages of intimal hyperplasia, stenosis, and 
occlusion.55 56 The applicant stated that clinical studies, 
which were included in its application and discussed in further detail 
later in this section, such as the Perrault et al. (2019) study, 
demonstrated that DuraGraft[supreg]-treated veins showed reduced wall 
thickening and lumen narrowing at 12 months. Additionally, the 
applicant stated that the Haime et al. (2018) study and the Caliskan et 
al. (2024) study \57\ indicated improved clinical outcomes and lower 
mortality rates in DuraGraft[supreg] patients.
---------------------------------------------------------------------------

    \52\ Pachuk, CJ, Rushton-Smith SK, & Emmert MY (2019). 
Intraoperative storage of saphenous vein grafts in coronary artery 
bypass grafting. Expert review of medical devices, 16(11), 989-997. 
https://doi.org/10.1080/17434440.2019.1682996.
    \53\ Shuhaiber, J.H., Evans, A.N., Massad, M.G., & Geha, A.S. 
(2002). Mechanisms and future directions for prevention of vein 
graft failure in coronary bypass surgery. European journal of 
cardio-thoracic surgery: official journal of the European 
Association for Cardio-thoracic Surgery, 22(3), 387-396. https://doi.org/10.1016/s1010-7940(02)00253-1.
    \54\ Osgood, M.J., Hocking, K.M., Voskresensky, I.V., Li, F.D., 
Komalavilas, P., Cheung-Flynn, J., & Brophy, C.M. (2014). Surgical 
vein graft preparation promotes cellular dysfunction, oxidative 
stress, and intimal hyperplasia in human saphenous vein. Journal of 
vascular surgery, 60(1), 202-211. https://doi.org/10.1016/j.jvs.2013.06.004.
    \55\ Murphy, G.J., & Angelini, G.D. (2004). Insights into the 
pathogenesis of vein graft disease: lessons from intravascular 
ultrasound. Cardiovascular ultrasound, 2, 8. https://doi.org/10.1186/1476-7120-2-8.
    \56\ Schwartz S.M. (1997). Smooth muscle migration in 
atherosclerosis and restenosis. The Journal of clinical 
investigation, 100(11 Suppl), S87-S89.
    \57\ The EU DuraGraft Registry is an ongoing European post-
market study designed to support an international CABG registry 
database used to assess patients receiving DuraGraft[supreg] during 
CABG surgery.
---------------------------------------------------------------------------

    In response to our request for additional details on the study 
highlighting the impact of storage solutions on vein graft failure 
rates, based on a sub-analysis of the data from PREVENT IV trial 
(ClinicalTrials.gov: NCT00042081),\58\ the applicant explained that the 
PREVENT IV study was a large-scale prospective trial aimed at assessing 
the safety and efficacy of edifoligide in preventing vein graft failure 
(VGF) after CABG by inhibiting neointimal hyperplasia (Alexander et 
al., 2005). The applicant noted that the sub-analyses of the study data 
revealed that the intraoperative graft storage solution had the most 
significant correlation with VGF, with buffered saline solutions like 
Plasmalyte, Normasol, or Lactated Ringer reducing failure rates by 28 
percent compared to blood and saline.59 60 61 The applicant 
stated that, despite this improvement, these solutions do not prevent 
ischemic or oxidative damage, as they merely maintain pH balance.\62\ 
The applicant asserted that, in contrast, DuraGraft[supreg] offers a 
unique mechanism by creating a reducing environment to prevent 
oxidative damage during ischemic storage, using L-glutathione and L-
Ascorbic acid, which has been associated with reduced graft wall 
thickening and a significant three-year mortality benefit, and 
therefore, in no way should these liquids be compared to or considered 
similar to DuraGraft[supreg].
---------------------------------------------------------------------------

    \58\ Alexander, J.H., Hafley, G., Harrington, R.A., Peterson, 
E.D., Ferguson, T.B., Lorenz, T.J., Goyal, A., Gibson, M., Mack, 
M.J., Gennevois, D., Bowman, S.D., & Jennings, L.K. (2005). 
Prevention of autogenous vein graft failure in coronary artery 
bypass procedures: Results of a multicenter trial of edifoligide for 
the prevention of vein graft failure in coronary artery bypass 
grafting (PREVENT IV). The Journal of the American Medical 
Association, 294(19), 2446-2454. https://doi.org/10.1001/jama.294.19.2446.
    \59\ Harskamp, R.E., Lopes, R.D., Baisden, C.E., de Winter, 
R.J., & Alexander, J.H. (2013). Saphenous vein graft failure after 
coronary artery bypass surgery: pathophysiology, management, and 
future directions. Annals of surgery, 257(5), 824-833. https://doi.org/10.1097/SLA.0b013e318288c38d.
    \60\ Murphy, G.J., & Angelini, G.D. (2004). Insights into the 
pathogenesis of vein graft disease: lessons from intravascular 
ultrasound. Cardiovascular ultrasound, 2, 8. https://doi.org/10.1186/1476-7120-2-8.
    \61\ Hess, C.N., Lopes, R.D., Gibson, C.M., Hager, R., Wojdyla, 
D.M., Englum, B.R., Mack, M.J., Califf, R.M., Kouchoukos, N.T., 
Peterson, E.D., & Alexander, J.H. (2014). Saphenous vein graft 
failure after coronary artery bypass surgery: insights from PREVENT 
IV. Circulation, 130(17), 1445-1451. https://doi.org/10.1161/CIRCULATIONAHA.113.008193.
    \62\ Hess, 2014, op. cit.
---------------------------------------------------------------------------

    Response: We thank the applicant for its comment. After review of 
the information provided by the applicant and the public comment 
received in response to the new technology add-on payment town hall 
meeting, we continue to have concerns regarding whether 
DuraGraft[supreg] meets the substantial clinical improvement criterion, 
as described in the FY 2025 IPPS/LTCH final rule (89 FR 69144 through 
69149). First, with regard to comparison with currently available 
treatments, as previously stated in the FY 2025 IPPS/LTCH PPS final 
rule (89 FR 69148), we are unclear how improvements demonstrated by use 
of DuraGraft[supreg] as compared to saline controls demonstrate 
substantial clinical improvement over other existing technologies 
without an assessment of comparative outcomes to the other vein graft 
preservation solutions. We note that all of the studies provided 
compared DuraGraft[supreg] to saline controls and not to other 
intraoperative buffered vein graft solutions such as PlasmaLyte, 
Normoscol, and Ringer's solution with respect to vein graft patency or 
clinical outcomes.\63\ We note that in its response to this concern 
from the FY 2025 IPPS/LTCH PPS final rule, the applicant stated that it 
tested against saline as it is still the most preferred wetting 
solution amidst dozens used as wetting solutions by surgeons in the 
United States according to the result of a survey published in 
JAMA.\64\ The applicant also stated that DuraGraft[supreg] was tested 
against other wetting solutions in preclinical and non-clinical studies 
with no difference seen in the results of mechanism compared to when 
saline was used as the control.\65\ However, we note that according to 
the same survey, among the 100 top-performing medical centers that 
conduct CABG, 40 percent reported using pH-buffered solution 
(commercially available or homegrown), compared to 28.9 percent 
reporting the use of saline, and 25.6 percent autologous blood. In 
addition, we are unclear how the lack of differences in the mechanism 
in pre-clinical and non-clinical studies relates to a demonstration of 
substantial clinical improvement over those therapies in Medicare 
patients undergoing CABG. While the applicant stated in its Town Hall 
comment that Ringers Lactate, Plasmalyte or Normosol buffered solutions 
are only used to keep grafts from drying out between harvesting and 
implantation and should not be compared to or considered similar to 
DuraGraft[supreg], as we noted in the FY 2025 IPPS/LTCH PPS final rule, 
studies have shown that vein graft storage solutions have differing 
effects on graft endothelium. We further note that previous studies 
have shown that saline alone is acidic and not beneficial for grafts, 
and that buffered solutions, such as PlasmaLyte, Normoscol, and 
Ringer's solution, are associated with lower VGF rates as compared to 
saline.\66\ We note that whether or not these other buffered solutions 
are the same or similar to DuraGraft[supreg] does not determine if 
their use is part of the standard of care for

[[Page 18112]]

purposes of assessing whether DuraGraft[supreg] represents a 
substantial clinical improvement as compared to existing technologies. 
We welcome comments on the comparison of DuraGraft[supreg] to saline 
alone versus other storage solutions used in contemporary CABG 
standards of care in the U.S. As these other solutions are also 
existing vein graft storage options, we would appreciate evidence 
comparing DuraGraft[supreg] to these currently available standard of 
care options to demonstrate post-CABG clinical improvement.
---------------------------------------------------------------------------

    \63\ Marizyme (2023) op. cit.
    \64\ William SE, Harskamp RE, and Bose S (2015). The 
Preservation and Handling of Vein Grafts in Current Surgical 
Practice: Findings of a Survey Among Cardiovascular Surgeons of Top-
Ranked US Hospitals [verbar] Surgery [verbar] JAMA Surgery [verbar] 
JAMA Network.
    \65\ Marizyme (2023), op. cit.
    \66\ Harskamp RE, Alexander JH, Schulte PJ, Brophy CM, Mack MJ, 
Peterson ED, Williams JB, Gibson CM, Califf RM, Kouchoukos NT, 
Harrington RA, Ferguson TB Jr, Lopes RD. Vein Graft Preservation 
Solutions, Patency, and Outcomes After Coronary Artery Bypass Graft 
Surgery Follow-up From PREVENT IV Randomized Clinical Trial. JAMA 
Surg., 2014;149(8):798-805.
---------------------------------------------------------------------------

    Second, regarding interim or surrogate endpoints, as in previous 
years, the applicant stated that the use of DuraGraft[supreg] leads to 
reduced 12 month overall mean wall thickness and a decreased rate of 
change from 1 to 12 months (focal stenosis) for maximum graft narrowing 
(Perrault et al., 2021), and improved myocardial protection with lower 
troponin (hs-Tnl) values from 3 to 6 hours and up to 4 days 
(Szalkiewicz et al., 2022). However, as discussed previously in the FY 
2025 IPPS/LTCH PPS final rule (89 FR 69148), early anatomical changes 
associated with the development of VGD (such as changes in wall 
thickness and graft narrowing) are surrogate endpoints, and we 
similarly note that that hs-Tnl levels are also surrogate measure for 
peri-operative MI, and, therefore, they do not demonstrate a clinical 
outcome as described under the regulations at Sec.  
412.87(b)(1)(ii)(C).
    We also remain concerned about the effects on the evidence provided 
of potential confounders that have not been taken into account in the 
study designs. We note that SVG failure is the result of a complex 
process involving multiple risk factors. Surgical risk factors other 
than the use of DuraGraft[supreg] may also contribute to post-CABG 
clinical outcomes. Thus, evidence about the effects of 
DuraGraft[supreg] on VGF may be confounded by factors related to pre-
operative care (such as aspirin), intra-operative procedures and 
techniques (such as no touch harvesting, appropriate length of vein, 
vein graft storage, or transit time flow measurement, and post-CABG 
care management (such as lipid-lowering therapies and P2Y12 
inhibitors). For example, we are concerned about whether the Haime 
study (2018) accounted for potential confounding effects of risk 
factors such as whether patients received beta-blockers before surgery, 
were on ventilation support for more than 12 hours, developed pneumonia 
or post-operative atrial fibrillation,\67\ were in pre-operative renal 
failure on dialysis or had a lower estimated glomerular filtration 
rate,\68\ or the type of post-acute care facility that patients were 
referred to,\69\ which may impact post-CABG outcomes. Similarly, we 
question whether the results of the Szalkiewicz (2022) study, based on 
a single-center study conducted in Austria, and the Lopez-Mendez (2023) 
study, based on a single-center study in Spain, could have been 
confounded by site-specific factors or by standard of CABG care 
specific to those two countries.
---------------------------------------------------------------------------

    \67\ Ibrahim KS, Kheirallah KA, Rahman A, et al. Factors 
affecting duration of stay in the intensive care unit after coronary 
artery bypass surgery and its impact on in-hospital mortality: a 
retrospective study. Journal of Cardiothoracic Surgery February 
2024. 19(45).
    \68\ Chua TK, GAO F, Chia SY, et al. Long-term mortality after 
isolated coronary artery bypass grafting and risk factors for 
mortality. Journal of Cardiothoracic Surgery July 2024. 19(429).
    \69\ Sultana I, Errguntla M, Kum HC, et al. The 
interrelationships between the length of stay, readmission, and 
post-acute care referral in cardiac surgery patients. Health 
Analytics November 2022. Volume 2.
---------------------------------------------------------------------------

    We also note that the only new study provided by the applicant in 
its application for FY 2026 was the Caliskan et al. (2024) study,\70\ 
which is the published version of the Marizyme Internal Study Report 
(2023) that was also provided in its FY 2025 application. The applicant 
stated that this study demonstrates a three-year mortality benefit 
associated with the use of DuraGraft[supreg]. Per the applicant, the 
Caliskan et al. (2024) study compares patients in the European 
DuraGraft Registry (DuraGraft[supreg] cohort) who underwent isolated 
CABGs and were exposed to DuraGraft[supreg] between 2016 and 2019 to 
randomly selected patients in the U.S. Society of Thoracic Surgeons 
(STS) National DatabaseTM (US Cohort) for the same period. 
Using a propensity score model (PSM), the authors examined the 
mortality rate of 2,400 patients matched from each registry at 30-day, 
12-, 24-, and 36-month post CABG. However, we question whether any 
results seen may have been affected by potential confounders. According 
to Caliskan et al. (2024), more than 95 percent of the U.S. hospitals 
performing CABG surgery report data to the STS, which captured almost 
all (98 percent) of the CABG surgeries in the U.S. We are interested in 
similar information about the European DuraGraft Registry, including 
its clinical site-selection standards and patient inclusion and 
exclusion criteria. We question whether these factors may have 
confounded the relationship between DuraGraft[supreg] and post-CABG 
mortality. In addition, we note that due to data availability, intra-
operative risk factors, like the use of Transit Time-Flow 
Measurement,\71\ on-pump status, endoscopic harvest, and post-operative 
therapies known to minimize SVG failure, were not accounted for in the 
Caliskan (2024) study. The use of post-procedural therapies may also 
confound the effects of DuraGraft[supreg] on post-CABG outcomes. For 
example, SVG failure is up to five times more frequent in patients who 
are not treated with aspirin postoperatively, and lipid-lowering 
therapies, such as statin therapies, reduce SVG occlusion rates as well 
as adverse events after CABG.\72\ Additionally, we note that according 
to Lopez-Menendez et al. (2023), every CABG patient in its institution 
is discharged home with dual antiplatelet therapy for a duration of 
three months, along with high-dose statins and that the study groups 
adhered to this institutional protocol, with a 100 percent completion 
rate. We question whether post-surgical protocols like this might have 
confounded the treatment effects of DuraGraft[supreg] on mortality 
rates, especially those after 30-day post CABG. We also question the 
Caliskan team's finding (2024) that DuraGraft[supreg] had significant 
effects on all-cause mortality rates at 36-month post-CABG but not at 
30-day, 12-, or 24-months. Per the applicant, the 36-month all-cause 
mortality estimate for the DuraGraft[supreg] cohort was 7.37 percent 
[95 percent, CI 6.36 to 8.53], compared to 9.65 percent [95 percent, CI 
8.37 to 11.10] for the US cohort (log-rank p-value = 0.016). However, 
there was no significant difference in survival between the 
DuraGraft[supreg] and U.S. cohorts throughout 2 years post-CABG. We 
therefore question whether mortality at 36 months post-CABG may be 
associated with risk factors that emerged long after the CABG surgery. 
Moreover, we note that in Lopez-Menendez et al. (2023), in which 90 
CABG patients whose veins were treated with DuraGraft[supreg] were 
matched with another 90 whose veins were treated with saline solution, 
the three-year mortality rate of the DuraGraft[supreg] group was not 
significantly different from that of the saline group. We welcome 
information about the mixed evidence from the Caliskan et al. (2024) 
and Lopez-Menendez et al. (2023) studies.
---------------------------------------------------------------------------

    \70\ Per the applicant, Caliskan et al. (2024) is based on the 
Marizyme internal study report.
    \71\ Lopez-Menendez (2023), op. cit.
    \72\ Willemsen, L, Janssen, P, Klein, P, Berg, JM, Therapies to 
improve vein graft patency after CABG, American College of 
Cardiology, February 8, 2021: Therapies to Improve Vein Graft 
Patency After CABG--American College of Cardiology.

---------------------------------------------------------------------------

[[Page 18113]]

    Furthermore, the Caliskan study used all-cause mortality, rather 
than cardiac-related mortality, to represent clinical outcomes 
resulting from the use of DuraGraft[supreg], which may include deaths 
by other acute or chronic conditions and cannot be attributed to the 
quality of CABG-related care, including the use of DuraGraft[supreg]. 
In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69149), we expressed 
concern that the Marizyme Internal Study (2023), which has the same 
content as Caliskan et al. (2024), only reported all-cause mortality 
and does not specify how many patients had mortality due to other 
causes that could not be attributed to use of a vein preservation 
solution other than DuraGraft[supreg]. We continue to have the concern 
that all-cause mortality may include deaths resulting from other 
conditions rather than heart diseases. We remain unclear whether 
DuraGraft[supreg] was the only factor that contributed to the 
differences in all-cause mortality rates between the treatment 
(DuraGraft[supreg]) and control groups. We also remain unclear in what 
ways the results demonstrated how DuraGraft[supreg] brought about the 
reduction in all-cause mortality. While we acknowledge that the use of 
all-cause mortality as a clinical outcome may be the result of data 
availability, it is unclear that DuraGraft[supreg] was the only 
differing factor between the arms, and how this demonstrates that it 
was DuraGraft[supreg] that effected this difference in mortality, 
rather than some other factor. We welcome information about the choice 
of this outcome as an indicator of the effects of DuraGraft[supreg] on 
clinical outcome improvement.
    We also note regarding the attrition rate for the DuraGraft[supreg] 
registry that, according to Caliskan et al. (2019),\73\ patients were 
contacted via mail, email, or telephone at one month, one year, and 
annually thereafter up to five years post CABG to determine whether 
cardiac-related adverse events and/or hospitalizations have occurred. 
We are unclear about the number of patients who were lost to follow up, 
the reasons for dropping out, and how these reasons were mapped to the 
definition of clinical outcomes. We also welcome information about how 
attrition impacted the number of patients in the treatment 
(DuraGraft[supreg]) and control groups at prespecified points of the 
follow-up period.
---------------------------------------------------------------------------

    \73\ Caliskan E, Sandner S, and Misfeld M, et al (2019) A novel 
endothelial damage inhibitor for the treatment of vascular conduits 
in coronary artery bypass grafting: protocol and rationale for the 
European, multicentre, prospective, observational DuraGraft 
registry. Journal of Cardiothoracic Surgery https://doi.org/10.1186/s13019-019-1010-z.
---------------------------------------------------------------------------

    We are inviting public comments on whether DuraGraft[supreg] meets 
the substantial clinical improvement criterion.
f. FIBRYGA[supreg] (Fibrinogen (Human))
    Octapharma USA, Inc. submitted an application for new technology 
add-on payments for FIBRYGA[supreg] for FY 2026. According to the 
applicant, FIBRYGA[supreg] is a concentrated form of human fibrinogen, 
indicated for fibrinogen supplementation in bleeding patients with 
acquired fibrinogen deficiency and the treatment of acute bleeding 
episodes in patients with congenital fibrinogen deficiency, including 
afibrinogenemia and hypofibrinogenemia. We note that the applicant is 
seeking new technology add-on payments for FIBRYGA[supreg] for FY 2026 
specific to the 2024 supplemental Biologics License Application (sBLA) 
indicated for the fibrinogen supplementation in bleeding adult and 
pediatric patients with acquired fibrinogen deficiency.
    Please refer to the online application posting for FIBRYGA[supreg], 
available at https://mearis.cms.gov/public/publications/ntap/NTP241007YU8UR, for additional detail describing the technology and 
acquired fibrinogen deficiency.
    With respect to the newness criterion, according to the applicant, 
FIBRYGA[supreg] was granted supplemental BLA approval from FDA on July 
31, 2024, expanding its previous BLA indication to include the 
fibrinogen supplementation in bleeding adult and pediatric patients 
with acquired fibrinogen deficiency indication and to update the U.S. 
prescribing information to include this indication.\74\ According to 
the applicant, FIBRYGA[supreg] became commercially available 
immediately after FDA approval for this expanded indicated use. The 
applicant stated that FIBRYGA[supreg] is administered intravenously 
with a recommended dose of 4g for adults per inpatient stay.
---------------------------------------------------------------------------

    \74\ Previous FDA approvals for FIBRYGA[supreg]: In 2017, FDA 
granted FIBRYGA[supreg] approval under a BLA application for the 
treatment of acute bleeding episodes in adults and adolescents >=12 
years of age with congenital fibrinogen deficiency, including 
afibrinogenemia and hypofibrinogenemia. On December 23, 2020, FDA 
granted FIBRYGA[supreg] approval under a sBLA application for on-
demand treatment of acute bleeding episodes to pediatric patients 
<12 years of age with congenital fibrinogen deficiency.
---------------------------------------------------------------------------

    According to the applicant, there are currently no ICD-10-PCS 
procedure codes to identify FIBRYGA[supreg]. We note that the applicant 
submitted a request for approval for a unique ICD-10-PCS procedure code 
for FIBRYGA[supreg] beginning in FY 2026. The applicant stated that 
D68.4 (Acquired coagulation factor deficiency) and O72.3 (Postpartum 
coagulation defects) may be currently used to identify the indication 
for FIBRYGA[supreg] under the ICD-10-CM coding system. We believe the 
relevant ICD-10-CM code to identify the indication of fibrinogen 
supplementation in bleeding adult and pediatric patients with acquired 
fibrinogen deficiency that is relevant to this new technology add-on 
payment application would be D68.4 (Acquired coagulation factor 
deficiency). We are inviting public comments on the use of this ICD-10-
CM diagnosis code to identify this indication for purposes of the new 
technology add-on payment, if approved.
    As previously discussed, if a technology meets all three of the 
substantial similarity criteria under the newness criterion, it would 
be considered substantially similar to an existing technology and would 
not be considered ``new'' for the purpose of new technology add-on 
payments.
    With respect to the substantial similarity criteria, the applicant 
asserted that FIBRYGA[supreg] is not substantially similar to other 
currently available technologies because it is the only FDA-approved 
therapy available to treat acquired fibrinogen deficiency in bleeding 
patients. According to the applicant, in patients experiencing a major 
bleeding event, acquired fibrinogen deficiency often goes untreated 
because cryoprecipitate cannot be delivered fast enough. The applicant 
further explained that FIBRYGA[supreg]'s storage and preparation 
characteristics allow it to be readily available, giving patients 
reliable access to therapy that is potentially lifesaving, and that 
therefore, the technology meets the newness criterion. The following 
table summarizes the applicant's assertions regarding the substantial 
similarity criteria. Please see the online application posting for 
FIBRYGA[supreg] for the applicant's complete statements in support of 
its assertion that FIBRYGA[supreg] is not substantially similar to 
other currently available technologies.

[[Page 18114]]



--------------------------------------------------------------------------------------------------------------------------------------------------------
              Substantial similarity criteria                  Applicant response               Applicant assertions regarding this criterion
--------------------------------------------------------------------------------------------------------------------------------------------------------
Does the technology use the same or similar mechanism of    Yes....................  FIBRYGA[supreg] works by providing a source of fibrinogen the body
 action to achieve a therapeutic outcome?                                             can use to form blood clots to stop bleeding. This is the same
                                                                                      mechanism used by cryoprecipitate; however, FIBRYGA[supreg]
                                                                                      provides a faster, safer, and more consistent dosage as compared
                                                                                      to cryoprecipitate.
Is the technology assigned to the same MS-DRG as existing   Yes....................  It is not expected that the use of FIBRYGA[supreg] will affect the
 technologies?                                                                        MS-DRG assignment.
Does new use of the technology involve the treatment of     No.....................  FIBRYGA[supreg] is currently the only FDA-approved therapy for
 the same/similar type of disease and the same/similar                                treating acquired fibrinogen deficiency as a result of major
 patient population when compared to an existing                                      bleeding. Fibrinogen is a key component in blood clot formation
 technology?                                                                          and levels in the body drop fast and early during an emergent
                                                                                      major bleeding event. Low levels of fibrinogen can lead to
                                                                                      impaired blood clot formation which is life threatening.
                                                                                      Cryoprecipitate, the current standard of care, requires long
                                                                                      processing times and transport to the point of care. Because of
                                                                                      this, patients suffering from acquired fibrinogen deficiency
                                                                                      during this early, critical period of a major bleed are often not
                                                                                      treated as clinicians do not have a quickly available option to
                                                                                      supplement declining fibrinogen levels. This potentially leads to
                                                                                      adverse outcomes ranging from longer ICU stays to exsanguination.
                                                                                      FIBRYGA[supreg] can be stored at room temperature and
                                                                                      reconstituted quickly. These two properties allow it to be stored
                                                                                      near the point of care and delivered quickly to bleeding patients
                                                                                      who might otherwise not have received therapy. For the first time,
                                                                                      FIBRYGA[supreg] offers an FDA-approved rapid treatment option for
                                                                                      acquired hypofibrinogenemia in emergent bleeds.
--------------------------------------------------------------------------------------------------------------------------------------------------------

    We note the following concerns with regard to the newness 
criterion. While the applicant asserted that FIBRYGA[supreg] is 
currently the only FDA-approved therapy for treating acquired 
fibrinogen deficiency as a result of major bleeding, we note that 
INTERCEPT[supreg] Fibrinogen Complex, which is the pathogen reduced 
cryoprecipitated fibrinogen complex (PRCFC) produced by the 
INTERCEPT[supreg] Blood System, is FDA-approved for the treatment and 
control of bleeding, including massive hemorrhage, associated with 
fibrinogen deficiency. The applicant further asserted that 
FIBRYGA[supreg] can be stored at room temperature, allowing it to be 
delivered quickly to bleeding patients and offering an FDA-approved 
rapid treatment option for acquired hypofibrinogenemia in emergent 
bleeds. However, we note that INTERCEPT[supreg] Fibrinogen Complex has 
a 5-day shelf life at room temperature and is immediately available in 
a ready-to-transfuse form as a fibrinogen source.75 76 
Therefore, we question whether FIBRYGA[supreg] and INTERCEPT[supreg] 
Fibrinogen Complex involve the treatment of the same or similar type of 
disease and the same or similar patient population. In addition, we 
note that the applicant asserted that FIBRYGA[supreg] has the same 
mechanism of action used by cryoprecipitate and works by providing a 
source of fibrinogen the body can use to form blood clots to stop 
bleeding. We also note that INTERCEPT[supreg] Fibrinogen Complex 
provides a source of fibrinogen, and therefore, we question whether 
FIBRYGA[supreg] and INTERCEPT[supreg] Fibrinogen Complex have the same 
mechanism of action. We also note that the applicant asserted that use 
of FIBRYGA[supreg] is not expected to change the MS-DRG assignment for 
cases of acquired hypofibrinogenemia, and we therefore believe it would 
map to the same MS-DRGs as INTERCEPT[supreg] Fibrinogen Complex.
---------------------------------------------------------------------------

    \75\ Cerus Corporation. INTERCEPT[supreg] Blood System for 
Cryoprecipitation Package Insert For the manufacturing of Pathogen 
Reduced Cryoprecipitated Fibrinogen Complex. (Revised 5/2024). 
Available at: www.fda.gov/media/143996/download.
    \76\ https://intercept-usa.com/products/intercept-fibrinogen-
complex/
#:~:text=INTERCEPT%C2%AE%20Fibrinogen%20Complex%20is,day%20post%2Dtha
w%20shelf%20life.
---------------------------------------------------------------------------

    Therefore, as it appears that FIBRYGA[supreg] and INTERCEPT[supreg] 
Fibrinogen Complex may use the same or similar mechanism of action to 
achieve a therapeutic outcome, are assigned to the same MS-DRGs, and 
treat the same or similar patient population and disease, we believe 
that these technologies may be substantially similar to each other. We 
note that, per our policy, if these technologies are substantially 
similar to each other, we use the earliest market availability date as 
the beginning of the newness period for the technologies. Therefore, if 
FIBRYGA[supreg] is substantially similar to INTERCEPT[supreg] 
Fibrinogen Complex, we believe the newness period for this technology 
would begin on May 5, 2021, the date INTERCEPT[supreg] Fibrinogen 
Complex became commercially available.\77\ In addition, because the 3-
year anniversary date of the INTERCEPT[supreg] Fibrinogen Complex's 
entry onto the U.S. market (May 5, 2024) occurred in FY 2024, 
FIBRYGA[supreg] would not be considered new and would not be eligible 
for new technology add-on payments for FY 2026. We are interested in 
information on how these technologies may differ from each other with 
respect to the substantial similarity criteria and newness criterion.
---------------------------------------------------------------------------

    \77\ INTERCEPT[supreg] Blood System received FDA approval on 
November 24, 2020, to produce PRCFC; however, as noted in FY 2022 
IPPS/LTCH PPS final rule (86 FR 45149), the manufacturers stated 
that it was not available for sale until May 5, 2021.
---------------------------------------------------------------------------

    We are inviting public comment on whether FIBRYGA[supreg] meets the 
newness criterion, including whether FIBRYGA[supreg] is substantially 
similar to INTERCEPT[supreg] Fibrinogen Complex for purposes of new 
technology add-on payments.
    With respect to the cost criterion, the applicant provided an 
analysis to demonstrate that FIBRYGA[supreg] meets the cost criterion. 
The analysis followed the order of operations summarized in the 
following table.

                                          FIBRYGA[supreg] Cost Analysis
----------------------------------------------------------------------------------------------------------------
 
----------------------------------------------------------------------------------------------------------------
Inclusion/exclusion criteria...........  For the Inclusion/Exclusion criteria used in the Cost Analysis,
                                          including the data source and lists of ICD-10-CM codes and MS-DRGs
                                          used by the applicant, see the cost criterion codes and MS-DRGs
                                          attachment included in the online posting for FIBRYGA[supreg].

[[Page 18115]]

 
Claims identified......................  18,037 claims mapping to 468 MS-DRGs, with none exceeding more than
                                          12.55% of the total identified cases.
Charges removed for prior technology...  The applicant did not remove any direct or indirect charges related to
                                          the prior technology. Per the applicant, FIBRYGA[supreg] is expected
                                          to be additive to current treatments and no charges were removed from
                                          the claims used in the analysis.
Standardized charges...................  The applicant used the standardization formula provided in Appendix A
                                          of the application. The applicant used all relevant values reported in
                                          the impact file posted with the FY 2025 IPPS/LTCH PPS final rule.
Inflation factor.......................  The applicant applied an inflation factor of 12.87% to the standardized
                                          charges, based on the inflation factor used to calculate outlier
                                          threshold charges in the FY 2025 IPPS/LTCH PPS final rule.
Charges added for the new technology...  The applicant added charges for the new technology by dividing the cost
                                          of the new technology by the national average cost-to-charge ratio of
                                          0.246 for Blood and Blood Products from the FY 2025 IPPS/LTCH PPS
                                          final rule. The applicant did not add indirect charges related to the
                                          new technology.
Cost analysis results..................  Average case-weighted threshold amount: $105,002.
                                         Final inflated average case-weighted standardized charge per case:
                                          $188,525.
----------------------------------------------------------------------------------------------------------------

    Because the final inflated average case-weighted standardized 
charge per case exceeded the average case-weighted threshold amount, 
the applicant asserted that FIBRYGA[supreg] meets the cost criterion.
    We are inviting public comments on whether FIBRYGA[supreg] meets 
the cost criterion.
    With regard to the substantial clinical improvement criterion, the 
applicant asserted that FIBRYGA[supreg] represents a substantial 
clinical improvement over existing technologies because FIBRYGA[supreg] 
is the only currently available, FDA-approved, pharmaceutical-grade 
therapy for the treatment of acquired fibrinogen deficiency, and it 
provides a faster, more precise treatment option for patients with 
life-threatening bleeding. Additionally, the applicant asserted that 
patients receiving FIBRYGA[supreg] have better clinical outcomes 
relative to technologies previously available. The applicant provided 
four documents and the FIBRYGA[supreg] package insert to support these 
claims, as well as 17 background articles about the safety and efficacy 
of existing treatment options for fibrinogen supplementation. The 
following table summarizes the applicant's assertions regarding the 
substantial clinical improvement criterion. Please see the online 
posting for FIBRYGA[supreg] for the applicant's complete statements 
regarding the substantial clinical improvement criterion and the 
supporting evidence provided.

----------------------------------------------------------------------------------------------------------------
    Applicant statements in support                   Supporting evidence provided by the applicant
----------------------------------------------------------------------------------------------------------------
Substantial Clinical Improvement Assertion #1: The technology offers a treatment option for a patient population
                       unresponsive to, or ineligible for, currently available treatments
----------------------------------------------------------------------------------------------------------------
FIBRYGA[supreg] is the only FDA          FIBRYGA[supreg] Package Insert: https://www.fda.gov/media/105864/
 approved therapy for the treatment of    download#:~:text=FIBRYGA%20is%20a%20human%20fibrinogen%20concentrate.
 acquired fibrinogen deficiency.
----------------------------------------------------------------------------------------------------------------
 Substantial Clinical Improvement Assertion #2: The technology significantly improves clinical outcomes relative
                                to services or technologies previously available
----------------------------------------------------------------------------------------------------------------
Pathogen inactivation makes              Callum J, Farkouh ME, Scales DC, Heddle NM, Crowther M, Rao V, Hucke
 FIBRYGA[supreg] a potentially safer      HP, Carroll J, Grewal D, Brar S, Bussi[egrave]res J, Grocott H, Harle
 source for fibrinogen supplementation    C, Pavenski K, Rochon A, Saha T, Shepherd L, Syed S, Tran D, Wong D,
 in the treatment of bleeding.            Zeller M, Karkouti K; FIBRES Research Group. Effect of Fibrinogen
                                          Concentrate vs Cryoprecipitate on Blood Component Transfusion After
                                          Cardiac Surgery: The FIBRES Randomized Clinical Trial. JAMA. 2019 Nov
                                          26; 322(20):1966-1976. doi: 10.1001/jama.2019.17312. PMID: 31634905;
                                          PMCID: PMC6822637.
                                         FIBRYGA[supreg] Package Insert.
                                         The applicant also provided background information to support this
                                          claim, which can be accessed via the online posting for the
                                          technology.
As compared to cryoprecipitate, the      Roy A, Stanford S, Nunn S, Alves S, Sargant N, Rangarajan S, Smith EA,
 current standard of care,                Bell J, Dayal S, Cecil T, Tzivanakis A, Kruzhkova I, Solomon C, Knaub
 FIBRYGA[supreg] permits rapid            S, Moran B, Mohamed F. Efficacy of fibrinogen concentrate in major
 correction of low serum fibrinogen       abdominal surgery--A prospective, randomized, controlled study in
 levels in bleeding patients.             cytoreductive surgery for pseudomyxoma peritonei. J Thromb Haemost.
                                          2020 Feb;18(2):352-363. doi: 10.1111/jth.14665. Epub 2019 Nov 26.
                                          PMID: 31654548; PMCID: PMC7027898.
                                         FIBRYGA[supreg] Package Insert.
                                         The applicant also provided background information to support this
                                          claim, which can be accessed via the online posting for the
                                          technology.
FIBRYGA[supreg] decreases the use of     Lunde J, Stensballe J, Wikkels[oslash] A, Johansen M, Afshari A.
 allogeneic blood products which are      Fibrinogen concentrate for bleeding--a systematic review. Acta
 associated with higher rates of          Anaesthesiol Scand. 2014 Oct;58(9):1061-74. doi: 10.1111/aas.12370.
 adverse events post-transfusion.         Epub 2014 Jul 24. PMID: 25059813.
                                         Callum, 2019, op. cit.
                                         The applicant also provided background information to support this
                                          claim, which can be accessed via the online posting for the
                                          technology.

[[Page 18116]]

 
FIBRYGA[supreg] is highly purified and   Schulz PM, Gehringer W, N[ouml]hring S, M[uuml]ller S, Schmidt T,
 has consistent levels of fibrinogen,     Kekeiss-Schertler S, Solomon C, Pock K, R[ouml]misch J. Biochemical
 permitting precise serum fibrinogen      characterization, stability, and pathogen safety of a new fibrinogen
 correction without delivering unneeded   concentrate (fibryga[supreg]). Biologicals. 2018 Mar;52:72-77. doi:
 components associated with adverse       10.1016/j.biologicals.2017.12.003. Epub 2018 Jan 12. PMID: 29336864.
 reactions.                              FIBRYGA[supreg] Package Insert.
                                         The applicant also provided background information to support this
                                          claim, which can be accessed via the online posting for the
                                          technology.
----------------------------------------------------------------------------------------------------------------

    We did not receive any written comments in response to the New 
Technology Town Hall meeting notice published in the Federal Register 
regarding the substantial clinical improvement criterion for 
FIBRYGA[supreg].
    After review of the supporting evidence provided by the applicant, 
we have the following concerns regarding whether FIBRYGA[supreg] meets 
the substantial clinical improvement criterion. While the applicant 
asserted that FIBRYGA[supreg] is the only FDA-approved technology for 
the treatment of acquired fibrinogen deficiency, we note that there are 
other available treatments, including cryoprecipitate and 
INTERCEPT[supreg] Fibrinogen Complex, which is FDA-approved for the 
treatment and control of bleeding, including massive hemorrhage, 
associated with fibrinogen deficiency, including those with acquired 
fibrinogen deficiency.\78\ We therefore question the assertion that 
FIBRYGA[supreg] offers a treatment option for a patient population 
unresponsive to, or ineligible for, currently available treatments.
---------------------------------------------------------------------------

    \78\ Cerus Corporation. INTERCEPT[supreg] Blood System for 
Cryoprecipitation Package Insert For the manufacturing of Pathogen 
Reduced Cryoprecipitated Fibrinogen Complex. (Revised 5/2024). 
Available at: https://www.fda.gov/media/143996/download.
---------------------------------------------------------------------------

    With respect to the assertion that FIBRYGA[supreg] significantly 
improves clinical outcomes relative to services or technologies 
previously available, we note that the applicant claimed that pathogen 
inactivation makes FIBRYGA[supreg] a potentially safer source for 
fibrinogen supplementation, FIBRYGA[supreg] permits rapid correction of 
fibrinogen levels, and FIBRYGA[supreg] has consistent levels of 
fibrinogen which allow for precise serum fibrinogen correction without 
delivering unneeded components associated with adverse reactions, and 
that these claims demonstrate that FIBRYGA[supreg] improves outcomes. 
However, while for each of these three claims the applicant inferred 
that they potentially improve safety or outcomes, it did not provide 
data that tested or demonstrated improvements. Therefore, we are 
unclear how these claims relate to a demonstration of substantial 
clinical improvement over existing technologies because they do not 
pertain to clinical outcomes described at Sec.  412.87(b)(1)(ii)(C), 
such as a reduction in mortality or a decreased rate of at least one 
subsequent diagnostic or therapeutic intervention. For example, with 
regard to pathogen inactivation, while the applicant stated that the 
overall reduction in viral titers achieved with INTERCEPT[supreg] 
Fibrinogen Complex is lower than those achieved with FIBRYGA[supreg]'s 
manufacturing process, we note that the background studies that were 
provided discussed why pathogen activation is important but did not 
demonstrate reduced pathogen transmission as compared to existing 
options such as INTERCEPT[supreg] Fibrinogen Complex or cryoprecipitate 
in order to demonstrate improved outcomes. We further note that the 
FIBRES study, a randomized controlled trial of 827 patients requiring 
blood component transfusion after cardiac surgery at 11 Canadian 
hospitals, did not report differences between the FIBRYGA[supreg] and 
cryoprecipitate groups' adverse events associated with bloodborne 
pathogens, which may include fever, chills, nausea, vomiting, 
hypotension, tachycardia, abdominal pain, back pain, or disseminated 
intravascular coagulation, and we question if the length of patient 
follow-up (28 days) is sufficient to assess for bloodborne infection 
transmission.79 80 With regards to the claim that 
FIBRYGA[supreg] allows for precise serum fibrinogen correction without 
delivering unneeded components associated with adverse reactions, while 
the applicant provided a biochemical analysis of FIBRYGA[supreg] by 
Schulz et al. to demonstrate that FIBRYGA[supreg]'s manufacturing 
process leads to consistent levels of fibrinogen and low levels of von 
Willebrand factor, as well as background documents discussing levels of 
fibrinogen and other factors for cryoprecipitate and INTERCEPT[supreg] 
Fibrinogen Complex, these documents did not demonstrate precise 
fibrinogen correction using FIBRYGA[supreg] compared to other available 
treatment options. Also, while the applicant further stated that 
FIBRYGA[supreg]'s manufacturing process removes agents responsible for 
allergic transfusion reactions and transfusion related lung injury, the 
evidence provided did not assess these outcomes or otherwise 
demonstrate reduced incidence of these outcomes as compared to 
available standard of care treatments for the patient population.
---------------------------------------------------------------------------

    \79\ Association for the Advancement of Blood & Biotherapies. 
(2024). Circular of information for the use of human blood and blood 
components. American Red Cross, America's Blood Centers, Armed 
Services Blood Program. Retrieved on November 14, 2024, from https://www.aabb.org/docs/default-source/default-document-library/resources/circular-of-information-watermark.pdf.
    \80\ Bloch, E.M. (2024). Transfusion-transmitted bacterial 
infection. UpToDate. Retrieved December 16, 2024, from https://www.uptodate.com/contents/transfusion-transmitted-bacterial-infection.
---------------------------------------------------------------------------

    In addition, we note that none of the studies submitted 
demonstrated improvements in clinical outcomes, such as treatment 
emergent adverse events (TEAEs), length of ICU stay, and duration of 
hospitalization between FIBRYGA[supreg] and cryoprecipitate study 
treatment groups. We note the FIBRES study found that TEAEs (acute 
kidney injury, hepatobiliary disorders, and thromboembolic adverse 
events) were similar between both groups and found no differences in 
clinical outcomes between the groups (duration of mechanical 
ventilation, duration of ICU stay, and duration of hospitalization). We 
further note that the study authors disclosed several limitations of 
the FIBRES study, including the lack of standardized transfusion 
protocols, lack of strict timing of laboratory assessments, and the 
variability in the amount of fibrinogen in cryoprecipitate that make it 
difficult to interpret true differences in clinical outcomes between 
the two groups. Regarding the FORMA-05 study, a single-center, 
prospective, randomized control phase 2 study of 45 patients undergoing 
cytoreductive surgery for peritoneal malignancy, we note that this 
study did not demonstrate any differences in clinical outcomes for the 
FIBRYGA[supreg] arm over the cryoprecipitate arm. Rather, per the 
study, the median durations of surgery, artificial ventilation in the 
ICU, ICU stay, hospitalization, and intraoperative blood loss were 
comparable between groups, and there was no bleeding in

[[Page 18117]]

patients in either treatment group post-operatively through the 
assessments at 24 and 48 hours. We also note that both studies were 
conducted outside of the U.S., and the study populations were specific 
groups of surgical patients, which may impact the generalizability of 
these results to broader, more diverse clinical use cases for 
FIBRYGA[supreg] in the U.S. Medicare patient population. In addition, 
both studies compared FIBRYGA[supreg] with cryoprecipitate, and no 
studies comparing to the currently available INTERCEPT[supreg] 
Fibrinogen Complex were provided. While the applicant included the 
INTERCEPT[supreg] package insert, it contains only in vitro data and 
does not offer clinical comparisons. We are interested in information 
on clinical outcomes of FIBRYGA[supreg] in comparison to 
INTERCEPT[supreg] Fibrinogen Complex in order to evaluate whether the 
use of FIBRYGA[supreg] significantly improves clinical outcomes 
compared to available treatments.
    We also note regarding the applicant's claim that FIBRYGA[supreg] 
permits rapid correction of low serum fibrinogen levels in bleeding 
patients compared to cryoprecipitate, while the applicant stated that 
the FORMA-05 study demonstrated that FIBRYGA[supreg] was delivered to 
the patient 46 minutes faster than cryoprecipitate (0.90 hours (0.23) versus 1.30 hours (0.33), p<0.0001), this value 
does not measure the time to correction of fibrinogen levels. We 
further note that, in the study, the difference between arms decreased 
from 46 minutes to 24 minutes with regard to time to when the 
intervention was administered (2.02 hours  0.22 for 
FIBRYGA[supreg] and 2.42 hours  0.33 for cryoprecipitate), 
and the study did not measure time to correction of fibrinogen levels, 
though as noted, this is a surrogate measure and not a clinical outcome 
as described under the regulations at Sec.  412.87(b)(1)(ii)(C). 
Further, while the applicant also provided background studies to 
demonstrate the correlation between low serum fibrinogen and poor 
patient outcomes, and that faster replenishment is important, as noted, 
the FORMA-05 study did not demonstrate any differences in clinical 
outcomes between arms. We also note that the applicant stated that 
FIBRYGA[supreg] allows for more rapid availability due to its powder 
form which allows long-term storage at room temperature in proximity to 
patients, while INTERCEPT[supreg] Fibrinogen Complex, which can be also 
stored at room temperature for up to 5 days, must be kept in regulated 
blood bank storage distant from the patient even when thawed. However, 
no data was provided to demonstrate that time to administration of 
FIBRYGA[supreg], or time to serum fibrinogen correction with 
FIBRYGA[supreg], is faster than that of INTERCEPT[supreg] Fibrinogen 
Complex.
    In regard to the applicant's fourth claim that FIBRYGA[supreg] 
decreases the use of allogeneic blood products, which the applicant 
asserted are associated with higher rates of adverse events post-
transfusion, we question whether the Lunde et al. (2014) and FIBRES 
studies provided in support of this claim showed that FIBRYGA[supreg] 
resulted in lower rates of post-transfusion adverse events. We note 
that Lunde et al. (2014) study was a systematic review of six RCTs that 
evaluated fibrinogen concentrate broadly to determine the evidence for 
its use and efficacy, but the studies included were varied in choice of 
comparator, including fresh frozen plasma (FFP), cryoprecipitate, or no 
comparator. We are also unclear whether the fibrinogen concentrate 
included in the study refers specifically to FIBRYGA[supreg], and 
therefore question whether the study provides evidence that 
FIBRYGA[supreg] demonstrates improved outcomes compared to 
cryoprecipitate. We further note that the study authors determined that 
data on continuous outcomes such as quantity of FFP, RBC or platelet 
transfused were statistically skewed, often with the median equaling 
zero, and that the comparison of fibrinogen concentrate to any 
comparator with respect to adverse events was not statistically 
significant. We also note that the six RCTs that the study is based on 
are more than 10 years old, and thus, we question whether the findings 
adequately represent the current standard of care for this patient 
population that may have evolved over the last decade. We further note 
that, although the FIBRES study was provided to demonstrate that 
FIBRYGA[supreg] decreases the use of allogeneic blood products, the 
study did not specifically report transfusion-related adverse events. 
We would be interested in additional data regarding transfusion-related 
adverse events, such as urticaria, wheezing, hypotension, tachycardia, 
nausea, vomiting and/or diarrhea, abdominal pain, severe dyspnea, 
pulmonary and/or laryngeal edema, and bronchospasm and/or 
laryngospasm.\81\
---------------------------------------------------------------------------

    \81\ Association for the Advancement of Blood & Biotherapies, 
2024, op. cit.
---------------------------------------------------------------------------

    We are inviting public comments on whether FIBRYGA[supreg] meets 
the substantial clinical improvement criterion.
g. GRAFAPEX\TM\ (Treosulfan)
    Medexus Pharma, Inc. submitted an application for new technology 
add-on payments for GRAFAPEXTM for FY 2026. According to the 
applicant, GRAFAPEXTM is a novel conditioning agent for use 
in combination with fludarabine as a preparative regimen for allogeneic 
hematopoietic stem cell transplantation (allo-HSCT) in adult and 
pediatric patients one year of age and older with acute myeloid 
leukemia (AML) or myelodysplastic syndrome (MDS). We note that Medexus 
Pharma, Inc. submitted an application for new technology add-on 
payments for GRAFAPEXTM for FY 2023 under the name 
treosulfan, as summarized in the FY 2023 IPPS/LTCH PPS proposed rule 
(87 FR 28296 through 28302), that it withdrew prior to the issuance of 
the FY 2023 IPPS/LTCH PPS final rule (87 FR 48920).
    Please refer to the online application posting for 
GRAFAPEXTM, available at https://mearis.cms.gov/public/publications/ntap/NTP241007WE8D6, for additional detail describing the 
technology and the disease treated by the technology.
    With respect to the newness criterion, according to the applicant, 
GRAFAPEXTM was granted NDA approval from FDA on January 21, 
2025, for use in combination with fludarabine as a preparative regimen 
for allo-HSCT in adult and pediatric patients one year of age and older 
with either AML or MDS. The applicant stated that GRAFAPEXTM 
became commercially available on February 20, 2025, because the 
applicant required time after FDA marketing authorization to build 
inventory and stock the third-party logistic wholesalers prior to 
commercial launch. We are interested in additional information 
regarding the cause of any delay in the technology's commercial 
availability, such as additional information about building inventory 
and stocking logistic wholesalers.
    According to the applicant, GRAFAPEXTM is administered 
via intravenous infusion in conjunction with fludarabine from either a 
1g or 5g vial after reconstitution with a 20mL or 100mL solution. Per 
the package insert,\82\ the recommended dosage of GRAFAPEXTM 
is 10g/m\2\ body surface area per day, given as a 2-hour intravenous 
infusion on 3 consecutive days (day -4, -3, -2) in conjunction with 
fludarabine before hematopoietic stem cell infusion on day 0. Per the

[[Page 18118]]

applicant, based on the estimated average body size for Medicare 
patients being treated with GRAFAPEXTM and the labeling for 
a 3-day treatment, the estimated average dose per inpatient stay is 
54g.
---------------------------------------------------------------------------

    \82\ Oncotec Pharma Produktion GmbH. GRAFAPEXTM 
[package insert]. (Revised 2/2025). Available at: https://www.accessdata.fda.gov/drugsatfda_docs/label/2025/214759s001lbl.pdf.
---------------------------------------------------------------------------

    According to the applicant, effective October 1, 2022, the 
following ICD-10-PCS codes may be used to uniquely describe procedures 
involving the use of GRAFAPEXTM: XW04388 (Introduction of 
treosulfan into central vein, percutaneous approach, new technology 
group 8) or XW03388 (Introduction of treosulfan into peripheral vein, 
percutaneous approach, new technology group 8). The applicant provided 
a list of diagnosis codes that may be used to currently identify the 
indication for GRAFAPEXTM under the ICD-10-CM coding system. 
Please refer to the online application posting for the complete list of 
ICD-10-CM codes provided by the applicant.
    As previously discussed, if a technology meets all three of the 
substantial similarity criteria under the newness criterion, it would 
be considered substantially similar to an existing technology and would 
not be considered ``new'' for the purpose of new technology add-on 
payments.
    With respect to the substantial similarity criteria, the applicant 
asserted that GRAFAPEXTM is not substantially similar to 
other currently available technologies because GRAFAPEXTM is 
a new chemical entity with a unique structure and unique mechanism of 
action that permits it to be metabolized without the liver, resulting 
in reduced toxicity while still delivering effective treatment, 
including for older and/or more comorbid patients who are ineligible 
for myeloablative conditioning (MAC) and face higher relapse risk if 
reduced intensity conditioning (RIC) is used. The applicant stated that 
GRAFAPEXTM addresses the unmet need in this patient 
population and is the only FDA-approved allo-HSCT conditioning agent 
for AML and MDS, and that therefore, the technology meets the newness 
criterion. The following table summarizes the applicant's assertions 
regarding the substantial similarity criteria. Please see the online 
application posting for GRAFAPEXTM for the applicant's 
complete statements in support of its assertion that 
GRAFAPEXTM is not substantially similar to other currently 
available technologies.

--------------------------------------------------------------------------------------------------------------------------------------------------------
              Substantial similarity criteria                  Applicant response               Applicant assertions regarding this criterion
--------------------------------------------------------------------------------------------------------------------------------------------------------
Does the technology use the same or similar mechanism of    No.....................  As a prodrug, GRAFAPEXTM is activated under normal physiological
 action to achieve a therapeutic outcome?                                             conditions with its own distinct cytotoxic activity toward
                                                                                      hematopoietic precursor cells. GRAFAPEXTM has a unique mechanism
                                                                                      of action that permits it to bypass the liver when it metabolizes,
                                                                                      resulting in reduced toxicity while still delivering effective
                                                                                      treatment, including for older patients and/or patients with
                                                                                      significant comorbidities who are ineligible for MAC. Other
                                                                                      alkylating agents used to date in allo-HSCT conditioning--for
                                                                                      example, busulfan, melphalan, cyclophosphamide--are all
                                                                                      metabolized by the liver, which results in higher toxicity and
                                                                                      leads to excess regimen-related morbidity and mortality observed
                                                                                      in older and comorbid patients. GRAFAPEXTM's mechanism of action
                                                                                      differs from other agents in this class because no other
                                                                                      alkylating agent has a mechanism of action that bypasses treated
                                                                                      patients' liver.
                                                                                     GRAFAPEXTM also has a unique chemical structure resulting from two
                                                                                      hydroxide (OH) bonds not present in other alkylating agents. Due
                                                                                      to these OH bonds, GRAFAPEXTM's mechanism of alkylation is
                                                                                      entirely different compared to busulfan and other alkylating
                                                                                      agents. Its distinct structure and unique mechanism of alkylation
                                                                                      further distinguish GRAFAPEXTM's mechanism of action. GRAFAPEXTM's
                                                                                      activity is due to the spontaneous, pH-dependent conversion into a
                                                                                      monoepoxide intermediate and diepoxybutan that bypasses liver
                                                                                      metabolism. These epoxides alkylate and crosslink nucleophilic
                                                                                      centers of DNA and other biological molecules involved in various
                                                                                      physiological functions and are responsible for its stem cell
                                                                                      depleting, immunosuppressive, and antineoplastic effects. Because
                                                                                      GRAFAPEXTM uniquely bypasses liver metabolism, it reduces
                                                                                      treatment-related toxicity compared to other alkylating agents
                                                                                      used to date for allo-HSCT conditioning.
Is the technology assigned to the same MS-DRG as existing   Yes....................  Medexus anticipates that inpatient cases involving administration
 technologies?                                                                        of GRAFAPEXTM typically will be assigned to MS-DRG 014--Allogeneic
                                                                                      Bone Marrow Transplant--because, in a majority of cases, it is
                                                                                      anticipated that a patient would undergo GRAFAPEXTM-based
                                                                                      conditioning during the same inpatient admission as allo-HSCT
                                                                                      itself. It is Medexus's understanding that other conditioning
                                                                                      treatments prior to allo-HSCT also would typically be assigned to
                                                                                      MS-DRG 014. Some cases also may be assigned to MS-DRG 004.

[[Page 18119]]

 
Does new use of the technology involve the treatment of     No.....................  GRAFAPEXTM offers a critical new treatment option for allo-HSCT
 the same/similar type of disease and the same/similar                                conditioning for a different patient population compared to
 patient population when compared to an existing                                      existing technologies. Many patients--especially older patients
 technology?                                                                          and/or patients with significant comorbidities who have AML or
                                                                                      MDS--are ineligible for MAC and face higher relapse risk with RIC.
                                                                                      Multiple studies discuss the unmet need for this patient
                                                                                      population based on previously available regimens and show that
                                                                                      GRAFAPEXTM-based regimens are particularly well-suited and provide
                                                                                      significant clinical benefits for this patient population. If
                                                                                      approved, GRAFAPEXTM will be the only FDA-approved allo-HSCT
                                                                                      conditioning agent for AML and MDS. A landmark multicenter RCT
                                                                                      discusses how allo-HSCT conditioning regimens available to date
                                                                                      are not suitable for all patients, especially older and/or more
                                                                                      comorbid patients--an important population for Medicare. The
                                                                                      limits of MAC and RIC create an unmet medical need particularly
                                                                                      for the growing number of older or comorbid AML and MDS
                                                                                      transplantation candidates. Peer-reviewed studies confirm
                                                                                      GRAFAPEXTM addresses the unmet need for this patient population,
                                                                                      including studies comparing GRAFAPEXTM-based regimens to busulfan-
                                                                                      , melphalan-, cyclophosphamide-, and TBI-based regimens.
                                                                                      GRAFAPEXTM-based conditioning thus involves treatment of a
                                                                                      different patient population compared to previously existing
                                                                                      conditioning regimens.
--------------------------------------------------------------------------------------------------------------------------------------------------------

    With respect to the substantial similarity criteria, we note that 
GRAFAPEXTM is an alkylating agent like other drugs used in 
conditioning, such as busulfan and melphalan. While the applicant 
stated that GRAFAPEXTM has a unique mechanism of action and 
unique structure that allows it to bypass liver metabolism, reducing 
toxicity, we question whether bypassing liver metabolism is the 
mechanism of action of a conditioning agent, or if it instead relates 
to clinical outcomes, such as the side effect profile of 
GRAFAPEXTM. In regard to whether GRAFAPEXTM 
treats the same or similar type of disease and the same or similar 
patient population compared to existing technologies, we question 
whether GRAFAPEXTM treats a new patient population since 
MAC, nonmyeloablative conditioning (NMA), and RIC are all options for 
patients. Additionally, while MAC may not be preferred for older or 
comorbid patients, RIC and NMA may still be options for these patients.
    We are inviting public comments on whether GRAFAPEXTM is 
substantially similar to existing technologies and whether 
GRAFAPEXTM meets the newness criterion.
    With respect to the cost criterion, the applicant provided two 
analyses to demonstrate that GRAFAPEXTM meets the cost 
criterion. Each analysis followed the order of operations summarized in 
the following table.

                                            GRAFAPEXTM Cost Analysis
----------------------------------------------------------------------------------------------------------------
 
----------------------------------------------------------------------------------------------------------------
Inclusion/exclusion criteria...........  For the Inclusion/Exclusion criteria used in the Cost Analysis,
                                          including the data source and lists of ICD-10-CM codes, ICD-10-PCS
                                          codes, and MS-DRGs used by the applicant, see the cost criterion codes
                                          and MS-DRGs attachment included in the online posting for GRAFAPEXTM.
Claims identified......................  Scenario 1: 713 claims mapping to 2 MS-DRGs, with 98.46% of claims
                                          mapping to MS-DRG 014 (Allogeneic Bone Marrow Transplant) and 1.54% of
                                          claims mapping to MS-DRG 004 (Tracheostomy With MV >96 Hours Or
                                          Principal Diagnosis Except Face, Mouth And Neck Without Major O.R.
                                          Procedures).
                                         Scenario 2: 466 claims mapping to two MS-DRGs, with 97.64% of claims
                                          mapping to MS-DRG 014 (Allogeneic Bone Marrow Transplant) and 2.36% of
                                          claims mapping to MS-DRG 004 (Tracheostomy With MV >96 Hours Or
                                          Principal Diagnosis Except Face, Mouth And Neck Without Major O.R.
                                          Procedures).
Charges removed for prior technology...  The applicant removed 100% of charges associated with drugs and
                                          cellular therapies (revenue centers 025x, 026x, and 063x), as an
                                          estimate of the percentage of total charges that the technology would
                                          replace could not be determined. The applicant did not remove indirect
                                          charges related to the prior technology.
Standardized charges...................  The applicant used the standardization formula provided in Appendix A
                                          of the application. The applicant used all relevant values reported in
                                          the impact file posted with the FY 2023 IPPS/LTCH PPS final rule
                                          correcting amendment.
Inflation factor.......................  The applicant applied an inflation factor of 12.87% to the standardized
                                          charges, based on the inflation factor used to calculate outlier
                                          threshold charges in the FY 2025 IPPS/LTCH PPS final rule.
Charges added for the new technology...  The applicant added charges for the new technology by dividing the cost
                                          of the new technology by the national average cost-to-charge ratio of
                                          0.178 for Drugs and Cellular Therapies from the FY 2025 IPPS/LTCH PPS
                                          final rule. The applicant did not add indirect charges related to the
                                          new technology.
Cost analysis results..................  Scenario 1:
                                         --Average case-weighted threshold amount: $368,736.
                                         --Final inflated average case-weighted standardized charge per case:
                                          $559,537.
                                         Scenario 2:
                                         --Average case-weighted threshold amount: $368,795.
                                         --Final inflated average case-weighted standardized charge per case:
                                          $559,369.
----------------------------------------------------------------------------------------------------------------

    Because the final inflated average case-weighted standardized 
charge per case exceeded the average case-weighted threshold amount in 
both scenarios, the applicant asserted that GRAFAPEXTM meets 
the cost criterion.

[[Page 18120]]

    We are inviting public comments on whether GRAFAPEXTM 
meets the cost criterion.
    With regard to the substantial clinical improvement criterion, the 
applicant asserted that GRAFAPEXTM offers a treatment option 
for a patient population unresponsive to, or ineligible for, currently 
available treatments because GRAFAPEXTM offers a critical 
new treatment option and addresses an unmet need for allo-HSCT 
conditioning for older and/or more comorbid patients who have AML or 
MDS and are ineligible for currently available MAC regimens and face 
higher relapse risk if a RIC regimen is used. Additionally, per the 
applicant, GRAFAPEXTM significantly improves clinical 
outcomes relative to existing technologies because 
GRAFAPEXTM-based conditioning has shown superiority in 
survival (in terms of overall and event-free survival) and non-relapse 
mortality, as well as significant reductions in adverse events, such as 
graft-versus-host disease (GVHD), veno-occlusive disease (VOD), and 
infections, compared to previously available regimens. The applicant 
provided 10 studies to support these claims, as well as 1 background 
article that, per the applicant, indicates that many patients with AML 
or MDS, especially those who are older and/or have significant 
comorbidities, are ineligible for MAC regimens, and face higher risk of 
relapse with RIC regimens.\83\ The following table summarizes the 
applicant's assertions regarding the substantial clinical improvement 
criterion. Please see the online posting for GRAFAPEXTM for 
the applicant's complete statements regarding the substantial clinical 
improvement criterion and the supporting evidence provided.
---------------------------------------------------------------------------

    \83\ Background articles are not included in the following table 
but can be accessed via the online posting for the technology.

------------------------------------------------------------------------
   Applicant statements in        Supporting evidence provided by the
           support                             applicant
------------------------------------------------------------------------
 Substantial Clinical Improvement Assertion #1: The technology offers a
treatment option for a patient population unresponsive to, or ineligible
                   for, currently available treatments
------------------------------------------------------------------------
GRAFAPEXTM offers a           Beelen DW, Iacobelli S, Koster L, et al.
 treatment option for allo-    Fludarabine-treosulfan versus fludarabine-
 HSCT conditioning for older   melphalan or busulfan-cyclophosphamide
 and/or more comorbid          conditioning in older AML or MDS
 patients who have AML or      patients--A clinical trial to registry
 MDS, who are ineligible for   data comparison. Bone Marrow Transplant.
 currently available MAC       2024;59(5):670-679.
 regimens.                    Wedge E, Sengel[oslash]v H, Hansen JW, et
                               al. Improved Outcomes after Allogenic
                               Hematopoietic Stem Cell Transplantation
                               with Fludarabine/Treosulfan for Patients
                               with Myelodysplastic Syndromes. Biol
                               Blood Marrow Transplant. 2020;26(6):1091-
                               1098.
                              Fraccaroli A, Stauffer E, Haebe S, et al.
                               Treosulfan-Versus Melphalan-Based Reduced
                               Intensity Conditioning in HLA-
                               Haploidentical Transplantation for
                               Patients >= 50 Years with Advanced MDS/
                               AML. Cancers (Basel). 2024;16(16):2859.
                              Bug G, Labopin M, Niittyvuopio, R, et al.
                               Fludarabine/TBI 8 Gy versus fludarabine/
                               treosulfan conditioning in patients with
                               AML in first complete remission: a study
                               from the Acute Leukemia Working Party of
                               the EBMT. Bone Marrow Transplant.
                               2023;58(6):710-716.
                              Nagler A, Labopin M, Beelen D, et al. Long-
                               term outcome after a treosulfan-based
                               conditioning regimen for patients with
                               acute myeloid leukemia: A report from the
                               Acute Leukemia Working Party of the
                               European Society for Blood and Marrow
                               Transplantation. Cancer.
                               2017;123(14):2671-2679.
                              Gavriilaki E, Sakellari Ioanna, Labopin,
                               et al. Survival advantage of treosulfan
                               plus fludarabine (FT14) compared to
                               busulfan plus fludarabine (FB4) in active
                               acute myeloid leukemia post allogeneic
                               transplantation: an analysis from the
                               European Society for Blood and Marrow
                               Transplantation (EBMT) Acute Leukemia
                               Working Party (ALWP). Bone Marrow
                               Transplant. 2023;58(10):1084-1088.
                              Pasic I, Moya TA, Remberger Mats, et al.
                               Treosulfan- Versus Busulfan-based
                               Conditioning in Allogeneic Hematopoietic
                               Cell Transplantation for Myelodysplastic
                               Syndrome: A Single-center Retrospective
                               Propensity Score-matched Cohort Study.
                               Transplant Cell Ther. 2024;30(7):681.e1-
                               681.e11.
                              Chichra A, Nayak L, Kothari R, et al.
                               Fludarabine melphalan versus fludarabine
                               treosulfan for reduced intensity
                               conditioning regimen in allogeneic
                               hematopoietic stem cell transplantation:
                               a retrospective analysis. Int J Hematol.
                               2024;119(1):71-79.
                              Beelen DW, Stelljes M, Rem[eacute]nyi P,
                               et al. Treosulfan compared with reduced-
                               intensity busulfan improves allogeneic
                               hematopoietic cell transplantation
                               outcomes of older acute myeloid leukemia
                               and myelodysplastic syndrome patients:
                               Final analysis of a prospective
                               randomized trial. Am J Hematol.
                               2022;97(8):1023-1034.
                              Shimoni A, Robin M, Iacobelli S, et al.
                               Allogeneic hematopoietic cell
                               transplantation in patients with
                               myelodysplastic syndrome using treosulfan
                               based compared to other reduced-intensity
                               or myeloablative conditioning regimens. A
                               report of the chronic malignancies
                               working party of the EBMT. Br J Haematol.
                               2021;195(3):417-428.
                              The applicant also provided background
                               information to support this claim, which
                               can be accessed via the online posting
                               for the technology.
------------------------------------------------------------------------

[[Page 18121]]

 
      Substantial Clinical Improvement Assertion #2: The technology
    significantly improves clinical outcomes relative to services or
                    technologies previously available
------------------------------------------------------------------------
GRAFAPEXTM-based              Beelen, 2024, op. cit.
 conditioning has shown       Wedge, 2020, op. cit.
 superior outcomes for event- Fraccaroli, 2024, op. cit.
 free survival (EFS),         Bug, 2023, op. cit.
 overall survival (OS), and   Nagler, 2017, op. cit.
 non-relapse mortality        Gavriilaki, 2023, op. cit.
 (NRM), and significant       Pasic, 2024, op. cit.
 reductions in several        Chichra, 2024, op. cit.
 adverse events.              Beelen, 2022, op. cit.
                              Shimoni, 2021, op. cit.
------------------------------------------------------------------------

    We also received a public comment in response to the New Technology 
Town Hall meeting notice published in the Federal Register regarding 
the substantial clinical improvement criterion for 
GRAFAPEXTM, which we summarize in this section.
    Comment: The applicant submitted a public comment summarizing the 
claims from its application regarding why it believes 
GRAFAPEXTM meets the substantial clinical improvement 
criterion. Additionally, the applicant provided additional information 
related to questions raised at the Town Hall meeting. With regard to a 
question asking for clarification with respect to whether any of the 
studies cited by the applicant compared GRAFAPEXTM-based 
conditioning to other reduced-toxicity conditioning (RTC) regimens, the 
applicant stated the classification concept of MAC and RIC regimens was 
defined around 2009. According to the applicant, Spyridonidis et al. 
(2020) introduced a new tool for measuring conditioning regimen 
intensity, called transplant conditioning intensity (TCI).\84\ The 
applicant quoted Spyridonidis et al. (2020) and stated that TCI 
``provides an improvement of the RIC/MAC classification'' and 
``enable[s] the identification of a distinct subgroup of RIC and MAC 
conditioning regimens with an intermediate TCI [2.5-3.5] score that had 
identical outcomes and which are frequently referred [to] as `reduced 
toxicity conditioning'.'' The applicant further noted that Spyridonidis 
et al. (2020) developed the TCI scoring tool to address limitations of 
the currently used RIC/MAC classification scheme. The applicant 
suggested that other conditioning regimens could also be categorized as 
RTC regimens based on this publication's TCI scoring methodology and 
classification system.\85\ The applicant noted that although a number 
of publications continued to use the MAC/RIC classification system, 
rather than incorporating RTC terminology or other nomenclature 
reflecting the TCI scoring classification system, Spyridonidis et al. 
(2020) reflects a new paradigm shift in conditioning regimen 
classification. Based on the TCI scoring methodology, the applicant 
provided examples of peer-reviewed publications from its application 
where both the GRAFAPEXTM plus fludarabine arm and 
comparator arm in the study were conditioning regimens that the 
applicant believed would likely be scored as intermediate-intensity or 
RTC regimens, that is regimens with a TCI score of 2.5-3.5. The 
applicant provided the following three examples.
---------------------------------------------------------------------------

    \84\ Spyridonidis, A., Labopin, M., Savani, B.N., Niittyvuopio, 
R., Blaise, D., Craddock, C., Soci[eacute], G., Platzbecker, U., 
Beelen, D., Milpied, N., Cornelissen, J.J., Ganser, A., Huynh, A., 
Griskevicius, L., Giebel, S., Brissot, E., Malard, F., Esteve, J., 
Peric, Z., Baron, F., . . . Mohty, M. (2020). Redefining and 
measuring transplant conditioning intensity in current era: a study 
in acute myeloid leukemia patients. Bone Marrow Transplantation, 
55(6), 1114-1125. https://doi.org/10.1038/s41409-020-0803-y.
    \85\ See Figure 1b in Spyridonidis et al. (2020) for additional 
regimens with transplant conditioning intensity scores of 2.5-3.5 
(intermediate/RTC range).
---------------------------------------------------------------------------

    First, the applicant calculated TCI scores for the regimens 
compared in Gavriilaki et al. (2023) based on dosage and the 
Spyridonidis et al. (2020) methodology: fludarabine <160mg/m2 (0.5 TCI 
score) plus GRAFAPEXTM 42g (3 TCI score) equates to a TCI 
score of 3.5; fludarabine <160mg/m2 (0.5 TCI score) plus busulfan 
12.8mg/kg (3 TCI score) equates to a TCI score of 3.5. The applicant 
reiterated that Gavriilaki et al. (2023) found that the 
GRAFAPEXTM-based conditioning demonstrated superiority in 
overall survival (44.4 percent vs. 34 percent (p = 0.009)) and was 
similar in non-relapse mortality compared to the busulfan-based 
conditioning treatment in patients with relapsed or refractory AML.
    Second, the applicant calculated TCI scores for the regimens 
compared in Pasic et al. (2024) based on dosage and the Spyridonidis et 
al. (2020) methodology: fludarabine 35mg/m2 x 4 (0.5 TCI score) plus 
GRAFAPEXTM (2 or 3 TCI score) (depending on dose) equals a 
TCI score of 2.5 or 3.5 (depending on the GRAFAPEXTM 
dosage); fludarabine 35mg/m2 x 4 (0.5 TCI score) plus busulfan 3.2mg/kg 
x 2 (1 TCI score) plus total body irradiation 2Gy (1 TCI score) equals 
a TCI score of 2.5. The applicant reiterated the results from this 
study, noting that the GRAFAPEXTM-based conditioning regimen 
demonstrated superiority in overall survival, event-free survival, and 
non-relapse mortality at 2 years follow-up, 2-year superiority in GVHD 
relapse-free survival (GRFS), and a lower percentage of patients 
requiring at least one hospital readmission at 1 year compared to the 
comparison group (fludarabine+busulfan+total body irridation).
    Third, the applicant calculated TCI scores for the regimens 
compared in Chichra et al. (2023) based on dosage and the Spyridonidis 
et al. (2020) methodology: fludarabine 30mg/m2 x 4 (0.5 TCI score) plus 
GRAFAPEXTM 12-14g/m2 (2 or 3 TCI) (depending on dose) equals 
a TCI score of 2.5 or 3.5 (depending on the GRAFAPEXTM 
dosage); fludarabine (0.5 TCI score) plus melphalan 140mg/m2 (2 TCI 
score) equals a TCI score of 2.5. The applicant restated the study's 
results, including that the GRAFAPEXTM-based conditioning 
group had fewer acute toxicities and fewer cases of severe mucositis 
and diarrhea compared to the melphalan-based conditioning group.
    The applicant also provided information related to the following 
three points from its slide presentation at the new technology add-on 
payment Town Hall: (1) previously available allo-HSCT conditioning 
agents and regimens create an unmet need for conditioning treatment 
that minimizes toxicity while maximizing efficacy, especially for older 
patients and/or those with significant comorbidities; (2) other 
conditioning agents used to date are all metabolized

[[Page 18122]]

by the liver, which results in higher toxicity and leads to ``excess 
regimen-related morbidity and mortality observed in older and comorbid 
patients;'' \86\ and (3) GRAFAPEXTM reduces treatment-
related toxicity because it uniquely bypasses liver metabolism. The 
applicant restated information from its application, specifically 
citing the Beelan et al. (2022) study in which 27 percent of patients 
were ages 65 to 74 years. The applicant noted that this study did not 
analyze the liver metabolism of conditioning agents but that it found a 
GRAFAPEXTM and fludarabine conditioning regimen performed 
better than a busulfan and fludarabine conditioning regimen in regards 
to event-free survival, overall survival, and non-relapse mortality. 
The applicant also stated that other alkylating agents used to date in 
allo-HSCT conditioning, such as busulfan, melphalan, cyclophosphamide, 
are all metabolized by the liver and that such metabolism by the liver 
results in higher toxicity.\87\
---------------------------------------------------------------------------

    \86\ Beelen, 2022, op. cit.
    \87\ Scheulen, M.E., Hilger, R.A., Oberhoff, C., Casper, J., 
Freund, M., Josten, K.M., Bornh[auml]user, M., Ehninger, G., Berdel, 
W.E., Baumgart, J., Harstrick, A., Bojko, P., Wolf, H.H., Schindler, 
A.E., & Seeber, S. (2000). Clinical phase I dose escalation and 
pharmacokinetic study of high-dose chemotherapy with treosulfan and 
autologous peripheral blood stem cell transplantation in patients 
with advanced malignancies. Clinical Cancer Research, 6(11), 4209-
16. https://aacrjournals.org/clincancerres/article/6/11/4209/199579/Clinical-Phase-I-Dose-Escalation-and.
---------------------------------------------------------------------------

    Response: We thank the applicant for its comments. After review of 
the information provided by the applicant and the public comment 
received in response to the New Technology Town Hall meeting, we have 
the following concerns regarding whether GRAFAPEXTM meets 
the substantial clinical improvement criterion. The applicant stated 
GRAFAPEXTM offers a conditioning treatment regimen option 
for older and/or more comorbid patients with AML or MDS who are 
ineligible for currently available MAC regimens due to their high 
toxicity and higher relapse risk with RIC regimens. The applicant 
provided 11 studies which it stated show that GRAFAPEXTM-
based regimens reduce the toxicity, non-relapse related mortality, and 
treatment related mortality associated with MAC without resulting in 
the increased incidence of relapse associated with RIC. However, we 
note that in two studies provided by the applicant comparing a 
GRAFAPEXTM-based regimen to RIC, there was a higher rate of 
relapse with the GRAFAPEXTM-based regimen. Specifically, in 
Fraccaroli et al. (2024), patients treated with a GRAFAPEXTM 
regimen demonstrated a higher cumulative incidence of relapse compared 
to the melphalan treatment group (24 percent vs. 0 percent, p=0.006). 
Similarly, we note that Bug et al. (2023) found that a fludarabine plus 
GRAFAPEXTM conditioning regimen had a higher cumulative 
incidence of relapse (34.7 percent) compared to a fludarabine plus 
fractionated total body irradiation conditioning regimen (18.3 percent, 
p = 0.018).
    Additionally, as the applicant noted in its Town Hall comment, 
GRAFAPEXTM-based regimens are not the only intermediate-
intensity or RTC regimens. Specifically, the applicant mentioned three 
additional RTC regimens in addition to GRAFAPEXTM-based 
regimens: fludarabine <160mg/m2 plus busulfan 12.8mg/kg, fludarabine 
35mg/m2 x 4 plus busulfan 3.2mg/kg x 2 plus total body irradiation 2Gy, 
and fludarabine plus melphalan 140mg/m2. We also note that RIC and NMA 
are additional options for these patients. Therefore, we question if 
GRAFAPEXTM-based regimens are the only treatment options for 
patients ineligible for MAC.
    With respect to the assertion that GRAFAPEXTM 
significantly improves clinical outcomes relative to services or 
technologies previously available, the applicant stated that 
GRAFAPEXTM-based conditioning has shown superior outcomes 
for event-free survival, overall survival, and non-relapse mortality, 
as well as significant reductions in several adverse events. To support 
its statements, the applicant provided 1 randomized trial for 
GRAFAPEXTM and 9 retrospective studies, which were also 
cited in support of the prior claim. However, we question the 
generalizability of these studies to the Medicare population. First, 
none of the studies assessing GRAFAPEXTM evaluated the 
treatment in a U.S. population; rather, all of the studies were 
conducted outside the U.S, and we question whether differences in 
treatment guidelines and regimens between countries could affect 
generalizability to the Medicare population. Second, we note that, of 
the submitted studies directly assessing GRAFAPEXTM, 7 had a 
majority of participants in the GRAFAPEXTM treatment arm 
under 65 years and 1 study (Wedge et al., 2020) did not include any 
participants over 66 years of age in the GRAFAPEXTM 
treatment group, and we therefore question whether outcomes seen in 
these studies are generalizable to the Medicare population. Third, 
relative to the number of Medicare patients with AML or MDS who may be 
eligible for allo-HSCT, two studies (Chichra et al., 2023; Fraccaroli 
et al., 2024) included small sample sizes among the 
GRAFAPEXTM treatment arms. In particular, Chichra et al. 
(2023) only contained 11 patients in the matched sibling donor/matched 
unrelated (MRD/MUD) donor fludarabine plus GRAFAPEXTM group 
and 16 patients in the haploidentical (Haplo) donor fludarabine plus 
GRAFAPEXTM group. Fraccaroli et al. (2024) included only 21 
patients in the melphalan group and 21 patients in the 
GRAFAPEXTM group. Given these small sample sizes, we 
question whether these studies would be generalizable to the Medicare 
population due to the potential influence of confounding variables. We 
also note that in Beelen et al. (2024), about half of the data was 
missing for the comorbidity index and over half of the data was missing 
regarding the disease risk, which are characteristics that could impact 
efficacy, making it difficult to fully compare the treatment groups.
    We further note that while some studies showed improved overall 
survival, a lower NRM, and reduced adverse events with the 
GRAFAPEXTM-based regimen, there were some conflicting 
results across studies. First, while the applicant stated 
GRAFAPEXTM-based regimens have shown improved overall 
survival (OS), we note that in Bug et al. 2023, Chichra et al. 2023, 
and Fraccaroli et al. 2024, OS was similar between the 
GRAFAPEXTM-based regimen and RIC. Specifically, 2-year OS 
was 67.8 percent in the GRAFAPEXTM-based regimen in Bug et 
al. 2023 and 66.9 percent in the fludarabine/TBI group (HR 1.08 (95 
percent CI, 0.67-1.75)). In Chichra et al. 2023, 5-year OS was 53 
percent in those treated with a GRAFAPEXTM-based regimen 
(Flu-Treo) and 62 percent in those treated with fludarabine/melphalan 
(Flu-Mel) in the MRD/MUD transplant group (p=0.694) and 28 percent in 
Flu-Treo and 41 percent in Flu-Mel in the Haplo transplant group 
(p=0.770). In Fraccaroli et al. (2024), the 2-year survival was 66 
percent in both the fludarabine-cyclophosphamide-melphalan and 
fludarabine-cyclophosphamide-GRAFAPEXTM groups (p=0.8).
    Second, the applicant asserted superior outcomes for 
GRAFAPEXTM in non-relapse mortality (NRM). However, multiple 
studies showed that GRAFAPEXTM had a NRM rate that was 
higher than or similar to other technologies. Per Chichra et al. 
(2023), the 2-year NRM was similar between Flu-Treo and Flu-Mel in the 
MRD/MUD and Haplo groups, although the specific numbers were not 
provided in the

[[Page 18123]]

study. In Gavriilaki et al. (2023), NRM was similar between 
fludarabine/GRAFAPEXTM (FT14) (20.8 percent) and 
fludarabine/busulfan (FB4) (22.6 percent) (p=0.46). Shimoni et al. 
(2021) found that 5-year NRM was statistically highest among patients 
who received MAC (34 percent) followed by those who received 
fludarabine and GRAFAPEXTM (30 percent) and lowest among 
those who received RIC (27 percent) (p=0.008). In Wedge et al. (2020), 
3-year NRM was not statistically different (p=0.425) with a NRM of 13.6 
percent for fludarabine/GRAFAPEXTM, 33.3 percent for 
standard myeloablative (SMA) conditioning, and 17.9 percent for 
nonmyeloablative (NMA) conditioning.
    Third, the applicant claimed a significant reduction in several 
clinically significant adverse events and complications that often lead 
to treatment-related mortality (TRM), such as graft-versus-host disease 
(GVHD), veno-occlusive disease (VOD), life-threatening infections, and 
organ toxicities. However, some studies showed similar or higher rates 
of adverse effects with the GRAFAPEXTM-based regimen. 
Specifically, Fraccaroli et al. (2024) reported a similar frequency of 
GVHD and renal failure, with no cases of VOD in either group and no 
statistical comparison of infection rates presented. Per Beelen et al. 
(2022), the frequencies of treatment-emergent adverse events and 
serious adverse events were equally distributed between the study arms. 
The incidence of acute GVHD and chronic GVHD was similar between 
treatment groups or higher with the GRAFAPEXTM-based regimen 
in Chichra et al. (2023), Bug et al. (2023), Gavriilaki et al. (2023), 
and Pasic et al. (2024). In Shimoni et al. (2021), there was no 
statistical difference in chronic GVHD among the treatment groups and 
in Wedge et al. (2020), acute GVHD was similar between FluTreo and NMA.
    We are inviting public comments on whether GRAFAPEXTM 
meets the substantial clinical improvement criterion.
h. IMDELLTRATM (Tarlatamab-Dlle)
    Amgen, Inc. submitted an application for new technology add-on 
payments for IMDELLTRATM for FY 2026. According to the 
applicant, IMDELLTRATM is a novel, first-in-class bispecific 
T-cell engager (BiTE[supreg]) molecule for the treatment of adult 
patients with extensive stage small cell lung cancer (ES-SCLC) with 
disease progression on or after platinum-based chemotherapy. According 
to the applicant, IMDELLTRATM works by binding to the delta-
like ligand 3 (DLL3) antigen expressed on the surface of SCLC tumor 
cells and the cluster of differentiation 3 (CD3) co-receptor expressed 
on the surface of T cells, causing T-cell activation, release of 
inflammatory cytokines, and lysis of DLL3-expressing cells.
    Please refer to the online application posting for 
IMDELLTRATM, available at https://mearis.cms.gov/public/publications/ntap/NTP241007BQ3UB, for additional detail describing the 
technology and the disease treated by the technology.
    With respect to the newness criterion, according to the applicant, 
IMDELLTRATM was granted accelerated approval of its BLA from 
FDA on May 16, 2024, for the treatment of adult patients with ES-SCLC 
with disease progression on or after platinum-based chemotherapy. 
According to the applicant, IMDELLTRATM was commercially 
available immediately after FDA approval. The applicant stated that the 
first dose of IMDELLTRATM is 1 mg and all subsequent doses 
are 10 mg, with all doses administered by a healthcare provider as a 1-
hour intravenous (IV) infusion. Per the applicant, the average 
inpatient dose is 7.3 mg based on available data. The applicant noted 
the only inpatient data available is for patients who experience 
cytokine release syndrome (CRS) or immune effector cell-associated 
neurotoxicity syndrome (ICANS) after IMDELLTRATM and it is 
unknown how many patients without these adverse events would receive 
IMDELLTRATM on an inpatient basis.
    According to the applicant, there are currently no ICD-10-PCS 
procedure codes to distinctly identify IMDELLTRATM. We note 
that the applicant submitted a request for approval for unique ICD-10-
PCS procedure codes for IMDELLTRATM beginning in FY 2026. 
The applicant provided a list of diagnosis codes that may be used to 
currently identify the indication for IMDELLTRATM under the 
ICD-10-CM coding system. Please refer to the online application posting 
for the complete list of ICD-10-CM (and PCS) codes provided by the 
applicant.
    As previously discussed, if a technology meets all three of the 
substantial similarity criteria under the newness criterion, it would 
be considered substantially similar to an existing technology and would 
not be considered ``new'' for the purpose of new technology add-on 
payments.
    With respect to the substantial similarity criteria, the applicant 
asserted that IMDELLTRATM is not substantially similar to 
other currently available technologies because it has a unique 
mechanism of action as a BiTE[supreg] that simultaneously binds DLL3 on 
SCLC cells and CD3 on T cells and because it is the only therapy 
specifically studied and shown to improve outcomes for patients who are 
relapsed or refractory to two or more other therapies and those with 
treated, stable brain metastases, and that therefore, the technology 
meets the newness criterion. The following table summarizes the 
applicant's assertions regarding the substantial similarity criteria. 
Please see the online application posting for IMDELLTRATM 
for the applicant's complete statements in support of its assertion 
that IMDELLTRATM is not substantially similar to other 
currently available technologies.

[[Page 18124]]



--------------------------------------------------------------------------------------------------------------------------------------------------------
              Substantial similarity criteria                  Applicant response               Applicant assertions regarding this criterion
--------------------------------------------------------------------------------------------------------------------------------------------------------
Does the technology use the same or similar mechanism of    No.....................  IMDELLTRATM has a unique mechanism of action as the first and only
 action to achieve a therapeutic outcome?                                             approved BiTE[supreg] therapy targeting DLL3 across all patient
                                                                                      populations and as the only BiTE[supreg] therapy approved for
                                                                                      SCLC. IMDELLTRATM's mechanism of action involves simultaneously
                                                                                      binding the DLL3 antigen on a SCLC cell and the CD3 antigen on the
                                                                                      patient's own T cells. The binding of IMDELLTRATM results in the
                                                                                      formation of a synapse between T cells and DLL3-expressing cells,
                                                                                      including tumor cells, leading to T-cell activation causing the
                                                                                      release of inflammatory cytokines and lysis of DLL3-expressing
                                                                                      cells. Thus, IMDELLTRATM is unique as the only T-cell directed
                                                                                      immunotherapy approved for ES-SCLC. In contrast, other approved ES-
                                                                                      SCLC treatments are cytotoxic chemotherapies that work by
                                                                                      interfering with the ability of rapidly dividing cells to
                                                                                      replicate and divide, which can lead to cell death in both
                                                                                      cancerous and noncancerous cells. Lurbinectedin is an alkylating
                                                                                      drug that binds to DNA, forming adducts that perturb the cell
                                                                                      cycle and cause cell death in dividing cells. Topotecan and
                                                                                      irinotecan are topoisomerase-1 inhibitors that bind topoisomerase-
                                                                                      1-DNA complex and inhibit the repair of double-strand breaks in
                                                                                      DNA in dividing cells. IMDELLTRATM has a novel mechanism of action
                                                                                      targeting DLL3 for the treatment of ES-SCLC and is differentiated
                                                                                      from existing ES-SCLC treatments due to the uniqueness of both
                                                                                      this target and its tissue expression profile, which results in
                                                                                      activation of the T cell and lysis of DLL3-expressing SCLC cells.
Is the technology assigned to the same MS-DRG as existing   Yes....................  The use of IMDELLTRATM to treat ES-SCLC is not expected to change
 technologies?                                                                        the MS-DRG assignment of the case.
Does new use of the technology involve the treatment of     No.....................  IMDELLTRATM does not involve the treatment of the same or similar
 the same/similar type of disease and the same/similar                                type of disease or the same or similar patient population when
 patient population when compared to an existing                                      compared to existing technology because IMDELLTRATM is the first
 technology?                                                                          and only BiTE[supreg] therapy available for the treatment of
                                                                                      patients with ES-SCLC who have had disease progression on or after
                                                                                      platinum-based chemotherapy. Furthermore, although IMDELLTRATM is
                                                                                      indicated to treat patients after relapsing on first line (1L)
                                                                                      platinum-based chemotherapy, for the subset of these patients who
                                                                                      have become relapsed or refractory (R/R) to two or more therapies,
                                                                                      IMDELLTRATM is the only therapy that is approved by FDA and has
                                                                                      been specifically studied and demonstrated improvements in this
                                                                                      population. IMDELLTRATM also is the only FDA-approved second line
                                                                                      therapy (2L) that has been studied in SCLC patients with treated,
                                                                                      stable brain metastases.
--------------------------------------------------------------------------------------------------------------------------------------------------------

    We note that while the applicant asserted that 
IMDELLTRATM does not involve the treatment of the same or 
similar disease or patient population because it is the first 
BiTE[supreg] therapy for patients with ES-SCLC who have had disease 
progression on or after platinum-based chemotherapy, per the applicant, 
other FDA-approved therapies for the treatment of the same patient 
population (patients who have ES-SCLC with disease progression on or 
after platinum-based chemotherapy) are currently available, such as 
lurbinectedin and topotecan. Further, with respect to the applicant's 
statements that IMDELLTRA[supreg] is the only FDA-approved therapy that 
has been specifically studied and demonstrated improvements in the 
subset of ES-SCLC patients who have become R/R to two or more therapies 
or that have stable brain metastases, we believe that these assertions 
may be relevant to substantial clinical improvement rather than newness 
and these patients may still be treated with lurbinectedin or 
topotecan. Therefore, we question the applicant's assertion that 
IMDELLTRATM treats a unique patient population compared to 
existing technology.
    We are inviting public comments on whether IMDELLTRATM 
is substantially similar to existing technologies and whether 
IMDELLTRATM meets the newness criterion.
    With respect to the cost criterion, the applicant provided two 
analyses to demonstrate that IMDELLTRATM meets the cost 
criterion. Each analysis followed the order of operations summarized in 
the following table.

                                            IMDELLTRATM Cost Analysis
----------------------------------------------------------------------------------------------------------------
 
----------------------------------------------------------------------------------------------------------------
Inclusion/exclusion criteria...........  For the Inclusion/Exclusion criteria used in the Cost Analysis,
                                          including the data source and lists of ICD-10-CM codes, ICD-10-PCS
                                          codes, and MS-DRGs used by the applicant, see the cost criterion codes
                                          and MS-DRGs attachment included in the online posting for IMDELLTRATM.
Claims identified......................  Scenario 1: 788 claims mapping to 16 MS-DRGs, with 43.02% of claims
                                          mapping to MS-DRG 180 (Respiratory Neoplasms with MCC).
                                         Scenario 2: 459 claims mapping to 5 MS-DRGs, with 73.86% of claims
                                          mapping to MS-DRG 180 (Respiratory Neoplasms with MCC).
Charges removed for prior technology...  The applicant removed 100% of charges associated with drugs and
                                          cellular therapies to account for the chemotherapy agent IMDELLTRATM
                                          will replace. The applicant noted there may be removed charges for non-
                                          chemotherapy agents, but was conservative by removing 100% of the drug
                                          and cellular therapy charges. The applicant did not remove indirect
                                          charges related to the prior technology.
Standardized charges...................  The applicant used the standardization formula provided in Appendix A
                                          of the application. The applicant used all relevant values reported in
                                          the standardization file posted with the FY 2025 IPPS/LTCH PPS final
                                          rule and the impact file posted with FY 2023 IPPS/LTCH PPS final rule.
Inflation factor.......................  The applicant applied an inflation factor of 12.9% to the standardized
                                          charges, based on the inflation factor used to calculate outlier
                                          threshold charges in the FY 2025 IPPS/LTCH PPS final rule.

[[Page 18125]]

 
Charges added for the new technology...  The applicant added charges for the new technology by dividing the cost
                                          of a 10 mg dose of the new technology by the national average cost-to-
                                          charge ratio of 0.178 for Drugs and Cellular Therapies from the FY
                                          2025 IPPS/LTCH PPS final rule. Per the applicant, it repeated this
                                          calculation for the 1 mg step up dose to confirm that, even if this
                                          dose is administered in the inpatient setting, the final inflated
                                          average case-weighted standardized charge per case exceeds the average
                                          case-weighted threshold for the cost criterion.
                                         The applicant did not add indirect charges related to the new
                                          technology.
Cost analysis results..................  Scenario 1:
                                         --Average case-weighted threshold amount: $102,317.
                                         --Final inflated average case-weighted standardized charge per case:
                                          $230,190.
                                         Scenario 2:
                                         --Average case-weighted threshold amount: $73,433.
                                         --Final inflated average case-weighted standardized charge per case:
                                          $203,476.
----------------------------------------------------------------------------------------------------------------

    Because the final inflated average case-weighted standardized 
charge per case exceeded the average case-weighted threshold amount in 
both scenarios, the applicant asserted that IMDELLTRATM 
meets the cost criterion.
    We are inviting public comments on whether IMDELLTRATM 
meets the cost criterion.
    With regard to the substantial clinical improvement criterion, the 
applicant asserted that IMDELLTRATM represents a substantial 
clinical improvement over existing technologies because 
IMDELLTRATM offers a treatment option for a patient 
population unresponsive to, or ineligible for, currently available 
treatments and the technology significantly improves clinical outcomes 
relative to services or technologies previously available. 
Specifically, per the applicant, IMDELLTRATM is a novel 
treatment option that offers substantial clinical improvement through 
deep and durable response for patients with ES-SCLC relapsed on 
platinum-based chemotherapy. The applicant further stated that 
IMDELLTRATM is the only approved DLL3-directed-CD3 T-cell 
engager for the treatment of ES-SCLC, for which there is a profound 
unmet need in this population who suffer from devastating outcomes and 
suboptimal care from limited and ineffective treatment options. The 
applicant provided four articles regarding outcomes from the phase I 
DeLLphi-300 and phase II DeLLphi-301 trials and the 
IMDELLTRATM prescribing information to support these claims, 
as well as 16 background articles about SCLC and existing treatments 
for the disease.\88\ The following table summarizes the applicant's 
assertions regarding the substantial clinical improvement criterion. 
Please see the online posting for IMDELLTRATM for the 
applicant's complete statements regarding the substantial clinical 
improvement criterion and the supporting evidence provided.
---------------------------------------------------------------------------

    \88\ Background articles are not included in the following table 
but can be accessed via the online posting for the technology.

------------------------------------------------------------------------
                                     Supporting evidence provided by the
  Applicant statements in support                 applicant
------------------------------------------------------------------------
 Substantial Clinical Improvement Assertion #1: The technology offers a
treatment option for a patient population unresponsive to, or ineligible
                   for, currently available treatments
------------------------------------------------------------------------
The majority of ES-SCLC patients    The applicant provided background
 who are relapsed or refractory to   information to support this claim,
 1L treatment are, or become,        which can be accessed via the
 unresponsive to previously          online posting for the technology.
 approved 2L treatments.
There are limited treatment         Ahn M, Cho B, et al. Tarlatamab for
 options for ES-SCLC patients who    Patients with Previously Treated
 have relapsed, and IMDELLTRATM is   Small-Cell Lung Cancer. N Eng J
 a new option for SCLC patients      Med. 2023;389:2063-75.
 who have relapsed and are          IMDELLTRATM (tarlatamab-dlle)
 resistant to initial treatment      injection, for intravenous use;
 options.                            Amgen, Inc., 2024.
                                    The applicant also provided
                                     background information to support
                                     this claim, which can be accessed
                                     via the online posting for the
                                     technology.
IMDELLTRATM is the first therapy    Ahn, 2023, op. cit.
 that has shown meaningful          Sands J, Cho BC, et al. Tarlatamab
 improvements in outcomes in the     Sustained Clinical Benefit and
 subset of patients who have         Safety in Previously Treated SCLC:
 failed two or more prior            DeLLphi-301 Phase 2 Extended Follow-
 therapies.                          up. Oral presentation (#OA10.03) at
                                     2024 World Conference on Lung
                                     Cancer in San Diego, California.
                                     September 9, 2024.
                                    Dingemans A, Ahn M, et al. DeLLphi-
                                     301: Tarlatamab phase 2 trial in
                                     small cell lung cancer (SCLC)--
                                     Efficacy and safety analyzed by
                                     presence of brain metastasis. J
                                     Clin Oncology. 2024;42:8015.
                                    Amgen, Inc., 2024, op. cit.
                                    The applicant also provided
                                     background information to support
                                     this claim, which can be accessed
                                     via the online posting for the
                                     technology.
------------------------------------------------------------------------
      Substantial Clinical Improvement Assertion #2: The technology
    significantly improves clinical outcomes relative to services or
                    technologies previously available
------------------------------------------------------------------------
Outcomes on existing therapies for  The applicant provided background
 ES-SCLC continue to be very poor,   information to support this claim,
 particularly as all previously      which can be accessed via the
 approved therapies have high        online posting for the technology.
 relapse rates.

[[Page 18126]]

 
IMDELLTRATM has shown substantial   Sands, 2024, op. cit.
 clinically meaningful improvement  Ahn, 2023, op. cit.
 in outcomes relative to other      Amgen, Inc., 2024, op. cit.
 available therapies for ES-SCLC    The applicant also provided
 patients.                           background information to support
                                     this claim, which can be accessed
                                     via the online posting for the
                                     technology.
In ES-SCLC patients with stable     Ahn, 2023, op. cit.
 brain metastases pre-treated with  Dingemans, 2024, op. cit.
 two or more prior therapies,       Amgen, Inc., 2024, op. cit.
 IMDELLTRATM showed similar         Dowlati A, Hummel H-D, et al.
 clinical outcomes as patients       Sustained Clinical Benefit and
 without brain metastases in post-   Intracranial Activity of Tarlatamab
 hoc analysis.                       in Previously Treated Small Cell
                                     Lung Cancer: DeLLphi-300 Trial
                                     Update. J Clin Oncology. published
                                     online August 29, 2024. doi:
                                     10.1200/JCO.24.00553.
                                    The applicant also provided
                                     background information to support
                                     this claim, which can be accessed
                                     via the online posting for the
                                     technology.
IMDELLTRATM has a generally         Amgen, Inc., 2024, op. cit.
 manageable safety profile and a    Ahn, 2023, op. cit.
 low incidence of treatment-        The applicant also provided
 related neutropenia.                background information to support
                                     this claim, which can be accessed
                                     via the online posting for the
                                     technology.
------------------------------------------------------------------------

    We also received a public comment in response to the New Technology 
Town Hall meeting notice published in the Federal Register regarding 
the substantial clinical improvement criterion for 
IMDELLTRATM, which we are summarizing in this section.
    Comment: The applicant submitted a comment responding to questions 
raised at the Town Hall meeting. In response to a question regarding 
how the applicant controlled for differences in patient demographics 
when comparing to other studies, the applicant stated there is reliable 
information about patient demographics and outcomes in ES-SCLC patients 
on currently available treatment supporting that IMDELLTRATM 
is a substantial clinical improvement. The applicant referred to a 
number of studies included in its application to support the statement. 
First, the applicant noted that topotecan was evaluated in a 
randomized, multicenter study of patients with SCLC who had relapsed at 
least 60 days after completion of 1L therapy; patients with documented 
brain metastases were included and represented 11.2 percent of the 
topotecan arm of the study.\89\ The applicant also stated that 
lurbinectedin was evaluated in a phase II single-arm, open-label basket 
trial with SCLC patients who had previously failed on platinum-based 
chemotherapy; the patient population had a median age of 60 years and 
patients with brain metastases were excluded.\90\ Per the applicant, 
while topotecan and lurbinectedin registrational trials did not study a 
third line (3L) patient population, these therapies have been studied 
in the real-world setting for U.S. patients since their FDA approvals 
in 1996 and 2020, respectively, including analyses of real-world 
overall survival (rwOS).91 92 93 The applicant further 
stated that IMDELLTRATM was evaluated in a phase 2 multi-
cohort, open-label trial in patients R/R to one platinum-based 
treatment and at least one other line of therapy, and were Eastern 
Cooperative Oncology Group (ECOG) performance-status grade < 2. Per the 
applicant, in this pre-treated population, approximately 33 percent of 
patients had received 3 or more therapies; of the 99 patients treated 
with IMDELLTRATM, 48 percent were 65 years of age or older 
and 10 percent were 75 years of age or older.\94\ In addition, per the 
applicant, there is a post-hoc analysis of the 23 percent of patients 
with stable, treated brain metastases receiving the FDA-approved 
dose.\95\
---------------------------------------------------------------------------

    \89\ von Pawel J, Schiller J, et al. Topotecan Versus 
Cyclophosphamide, Doxorubicin, and Vincristine for the Treatment of 
Recurrent Small-Cell Lung Cancer. J Clin Oncology. 1999;17(2):658-
667.
    \90\ Trigo J, Subbiah V, et al. Lurbinectedin as second-line 
treatment for patients with small-cell lung cancer: a single-arm, 
open-label, phase 2 basket trial. Lancet Oncol. 2020;21(5):645-654.
    \91\ Borghaei H, Pundole X, Sangar[eacute] L, et al. Natural 
history of SCLC patients treated in third-line and beyond: A 
retrospective real world study. Lung Cancer. 2024;193:10781. 
doi:10.1016/j.lungcan.2024.107819.
    \92\ Coutinho AD, Shah M, Lunacsek OE, Eaddy M, & Willey JP. 
Real-world treatment patterns and outcomes of patients with small 
cell lung cancer progressing after 2 lines of therapy. Lung Cancer. 
2019;127:53-58.
    \93\ Desai A, Smith C, et al. Real-World Outcomes With 
Lurbinectedin in Second-Line Setting and Beyond for Extensive Stage 
Small Cell Lung Cancer. Clinical Lung Cancer. 2023;24(8):689-695.
    \94\ Anh, 2023, op. cit.
    \95\ Dingemans, 2024, op. cit.
---------------------------------------------------------------------------

    With respect to a question regarding how the applicant compared 
IMDELLTRATM's overall response rate (ORR) to other therapies 
without data that shows the populations studied match, the applicant 
stated that as previously noted, there is a significant amount of 
clinical literature available regarding outcomes for ES-SCLC patients 
on currently available treatment to support the applicant's claims of 
substantial clinical improvement for IMDELLTRATM without the 
need for head-to-head studies, which are not required as part of the 
new technology add-on payment criteria. Further, the applicant noted 
that tumor response (for example, ORR) is considered a direct measure 
of drug antitumor activity, which can be adequately evaluated in a 
single-arm study. Additionally, the applicant stated that overall 
survival (OS) and progression-free survival (PFS) endpoints must be 
interpreted with caution in single-arm trials and confirmatory phase 
III trials are needed to confirm OS and PFS results.
    The applicant stated that it is clear from currently available 
literature that patients with ES-SCLC after failing on chemotherapy 
have extremely poor outcomes on existing therapies, where response and 
survival are measured in just a few months. The applicant again 
referred to a number of studies included in its application to support 
the statement. The applicant summarized the registrational trial 
results for the other currently FDA-approved treatments for adult 2L 
ES-SCLC patients and noted that topotecan demonstrated an ORR of 24.3 
percent, a duration of response (DOR) of 3.3 months (14.4 weeks), a 
median PFS (mPFS) of 3.1 months (13.3 weeks), and a median OS (mOS) of 
5.8 months (25 weeks) in its pivotal trial (n=107).\96\ The applicant 
stated lurbinectedin demonstrated an ORR of 35 percent, a DOR of 5.3 
months, a mPFS of 3.5 months, and mOS of 9.3 months in its pivotal 
trial (n=105). The applicant noted, however, that this clinical trial 
data lacks evidence on patients with brain metastases per the trial's 
exclusion criteria.\97\ In addition, the applicant

[[Page 18127]]

noted that lurbinectedin failed to reach its primary endpoint of OS in 
the confirmatory phase 3 ATLANTIS trial.\98\ Further, the applicant 
referenced the real-world analysis of U.S. patients in the 3L setting 
by Borghaei et al. (2024), which found median rwOS was 5.3 months 
(n=326; 95 percent CI, 4.5-6.0) following initiation of 3L therapies 
(topotecan, lurbinectedin, immunotherapy, taxane monotherapy or 
platinum-based chemotherapy with immunotherapy). The applicant stated 
in addition that this analysis found the median time from SCLC 
diagnosis to 3L therapy initiation was 400 days.
---------------------------------------------------------------------------

    \96\ von Pawel, 1999, op. cit.
    \97\ Trigo, 2020, op. cit.
    \98\ Aix S, Ciuleanu T, et al. Combination lurbinectedin and 
doxorubicin versus physician's choice of chemotherapy in patients 
with relapsed small-cell lung cancer (ATLANTIS): a multicentre, 
randomised, open-label, phase 3 trial. Lancet Respir Med. 
2023;11:74-86.
---------------------------------------------------------------------------

    Per the applicant, IMDELLTRATM had an ORR of 40 percent 
and a mDOR of 9.7 months, with 43 percent of responses ongoing at data 
cutoff in an extended follow-up analysis. In addition, the applicant 
stated mOS was 15.2 months and was similar regardless of progression-
free interval (<90 days or 90+ days) after 1L platinum-based 
chemotherapy (n=100).\99\ The applicant further stated that based on a 
post-hoc analysis of the multi-cohort trial, efficacy outcomes were 
also similar for patients with stable, treated brain metastases and 
those without brain metastases.\100\ The applicant noted that Dingemans 
et al. (2024) found stable, treated brain metastases patients in the 
trial had an ORR of 54.5 percent, mPFS of 7.1 months, and mOS of 14.3 
months. The applicant noted that IMDELLTRATM shows clinical 
improvement by allowing patients to possibly live for more than 4 to 6 
months following initiation of 2L treatment. The applicant also noted 
that the American Society of Clinical Oncology (ASCO) recently came to 
a similar conclusion independently, as per the updated ASCO guideline 
on systemic therapy for SCLC submitted with respect to the substantial 
clinical improvement criteria.\101\ The applicant stated ASCO had the 
same information available to it with respect to outcomes on 
lurbinectedin, topotecan, and IMDELLTRATM as that provided 
by the applicant in its application, and updated ASCO guidelines stated 
that the cross-trial comparisons suggest that both lurbinectedin and 
IMDELLTRATM are more effective than topotecan or other 
agents, although the DOR of >9 months reported with 
IMDELLTRATM is substantially longer than that seen with 
other agents.
---------------------------------------------------------------------------

    \99\ Sands, 2024, op. cit.
    \100\ Dingemans, 2024, op. cit.
    \101\ Kalemkerian GP, Khurshid H, Ismaila N. Systemic Therapy 
for Small Cell Lung Cancer: ASCO Guideline Rapid Recommendation 
Update. JCO 0, JCO-24-02245.
---------------------------------------------------------------------------

    In addition to the studies submitted by the applicant in its 
application, the applicant noted that it has conducted an indirect 
treatment comparison (ITC) to evaluate the relative benefit in survival 
outcomes and response between IMDELLTRATM versus real-world 
physicians' choice of therapy from a historical control cohort captured 
in the U.S. Flatiron electronic health records database.\102\ The 
applicant provided the ITC's research protocol as additional background 
about how the ITC compared OS, PFS, and ORR,\103\ and indicated that 
the study results are expected to be available in March 2025.
---------------------------------------------------------------------------

    \102\ EMA, Real World Data Catalogues, Tarlatamab vs. Real-world 
Physicians' Choice Therapies in Patients with Relapsed or Refractory 
Small Cell Lung Cancer After Two or More Prior Lines of Treatment: 
Patient-level Indirect Treatment Comparison (ITC) of DeLLphi-301 vs. 
Flatiron Real-world Data; available at: https://catalogues.ema.europa.eu/node/4199/administrative-details. Accessed 
December 13, 2024.
    \103\ Per the applicant, the research protocol is available at 
https://catalogues.ema.europa.eu/system/files/2024-10/20240049_tarlatamab_Protocol-Published%20Amendment.pdf.
---------------------------------------------------------------------------

    Response: We thank the applicant for its comments. After review of 
the information provided by the applicant and the public comment 
received in response to the New Technology Town Hall meeting, we have 
the following concerns regarding whether IMDELLTRATM meets 
the substantial clinical improvement criterion. The applicant stated 
that IMDELLTRATM offers a treatment option for patients with 
2L+ ES-SCLC that are unresponsive to, or ineligible for, currently 
available treatments, however it is unclear that these patients are 
unresponsive or ineligible for existing 2L+ treatments for ES-SCLC, 
such as lurbinectedin and topotecan. The applicant claimed that the 
majority of ES-SCLC patients who are relapsed or refractory to 1L 
treatment are or become unresponsive to previously approved 2L 
treatments. For this claim, the applicant provided background articles 
regarding treatment of ES-SCLC, but did not indicate a patient 
population that IMDELLTRATM treats that is ineligible or 
unresponsive to other 2L treatments. The applicant also claimed that 
there are limited treatment options for ES-SCLC patients who have 
relapsed and IMDELLTRATM is a new option for these patients. 
However, we note that having limited treatment options does not 
demonstrate that these patients are unresponsive or ineligible for any 
available therapies. In addition, while the applicant provided results 
from the pivotal DeLLphi-301 study of IMDELLTRATM stating 
that it is the first therapy that has shown meaningful outcome 
improvements in patients who have failed two or more prior therapies, 
the study did not list these therapies, and we also note that 
retreatment with platinum-based chemotherapy was considered an 
additional line of therapy per the study. Therefore, it is unclear that 
the study demonstrated that patients had failed existing 2L+ 
treatments, including lurbinectedin and topotecan. For these reasons, 
we question the assertion that IMDELLTRATM offers a 
treatment for a patient population unresponsive to, or ineligible for, 
currently available treatments.
    With respect to the applicant's statement that IMDELLTRA[supreg] 
improves clinical outcomes over existing technologies because outcomes 
on existing therapies for ES-SCLC continue to be very poor, 
particularly as all previously approved therapies have high relapse 
rates, and that, in the past 2 decades, relapsed ES-SCLC patients who 
have failed platinum-based chemotherapy have had few treatment options 
as only topotecan and lurbinectedin are FDA-approved and indicated for 
these patients, we note that the applicant provided outcome data for 
topotecan and lurbinectedin, in addition to highlighting that 
lurbinectedin, pembrolizumab, and nivolumab failed to show a benefit in 
OS in the confirmatory phase 3 clinical trials. However, the applicant 
did not provide relapse rates for current therapies, including 
IMDELLTRATM, and did not compare the provided outcome data 
to IMDELLTRATM, and therefore we question how this 
demonstrates that IMDELLTRATM improves clinical outcomes 
relative to these therapies.
    To support its other statements regarding improved outcomes for 
IMDELLTRATM, the applicant provided results from DeLLphi-
301, a phase 2, single arm, open-label, international trial which 
evaluated antitumor activity and safety of IMDELLTRATM in 
patients with advanced SCLC previously treated with two or more lines 
of therapy.\104\ However, we note that, of the 134 patients treated 
with the target dose of IMDELLTRATM, only 14 were from North 
America (without further specification on the country), and we question 
whether differences in treatment guidelines between countries could 
affect generalizability to the

[[Page 18128]]

Medicare population. We also note that 75 percent (101/134) of the 
patients who took the approved dose of 10 mg in DeLLphi-301 had a 
previous use of a programmed death ligand 1 (PD-L1) or programmed death 
1 (PD-1) inhibitor,\105\ which are recommended as part of the initial 
therapy for ES-SCLC, and we therefore question whether the results of 
the DeLLphi-301 study were different between the group of patients who 
previously received these therapies versus those who did not. We 
further note that the applicant also provided the Sands et al. (2024) 
presentation and the Dingemans et al. (2024) abstract which are 
unpublished overviews that do not provide full details on the study 
methods; therefore, we do not have sufficient information to evaluate 
these studies.
---------------------------------------------------------------------------

    \104\ Anh, 2023, op. cit.
    \105\ Anh, 2023, op. cit.
---------------------------------------------------------------------------

    With respect to the claim that IMDELLTRATM has shown 
substantial clinically meaningful improvement in outcomes relative to 
other available therapies for ES-SCLC patients, the applicant provided 
outcomes for IMDELLTRATM from the DeLLphi-301 single arm, 
phase 2 trial and compared them to outcomes from trials for other 
approved treatments for patients who have relapsed on first-line 
chemotherapy. The applicant stated that IMDELLTRATM, 
lurbinectedin, and topotecan are FDA-approved and no treatments are 
specifically FDA-approved for 3L treatment. The applicant stated 
chemotherapy is a 3L treatment and has a mOS of 4.4 months, ORR of 21 
percent, mDOR of 2.6 months, and mPFS of 2.3 months.\106\ The applicant 
also noted that lurbinectedin can be used as a 3L agent, but mOS was 
5.6 months according to real world data.\107\ The applicant also stated 
IMDELLTRATM had an ORR of 40 percent, mDOR of 9.7 months, 
mPFS of 4.9 months, and mOS of 14.3 months,\108\ with an mOS of 15.2 
months after extended follow-up.\109\ The applicant further noted that 
in a subgroup analysis of 22 patients with stable, treated brain 
metastases, IMDELLTRATM showed similar outcomes with an ORR 
of 54.5 percent, mPFS of 7.1 months, and mOS of 14.3 months.\110\ The 
applicant stated the registrational study for topotecan included 
patients with brain metastases and reported a mOS of only 5.8 
months,\111\ while the pivotal phase II trial for lurbinectedin 
excluded patients with brain metastases and in a real-world analysis 
among 14 patients who received 3L therapy with lurbinectedin (11 of 
which with CNS metastases), the mOS was 5.6 months.\112\ However, we 
note that the applicant also stated in its Town Hall comment that tumor 
response (for example, ORR) can be adequately evaluated in a single-arm 
study, while OS and PFS endpoints must be interpreted with caution in 
single-arm trials and confirmatory phase 3 trials are needed to confirm 
OS and PFS results. Therefore, we question the applicant's use of OS 
and PFS to support improved clinical outcomes with 
IMDELLTRATM compared to previously available therapy. 
Additionally, the applicant stated that the trial demonstrated mOS of 
14.3 months for IMDELLTRATM,\113\ and compared it to 
lurbinectedin's mOS of 5.6 months according to real world data,\114\ 
but we question whether it is appropriate to compare clinical trial and 
real world data. We note, for example, that the phase 2 single arm 
trial for lurbinectedin noted an OS of 9.3 months (Trigo et al. 
(2020)), and we therefore question how the applicant chose the 
historical control it used in these comparisons of outcomes. In 
addition, the applicant noted that ORR can be evaluated in a single-arm 
study and provides the ORR for IMDELLTRATM (40 percent in 3L 
therapy \115\ and 54.5 percent in patients with stable brain metastases 
\116\), but did not provide the ORR for topotecan or lurbinectedin in 
patients with stable brain metastases, nor in patients that are taking 
3L therapy. Therefore, we question the applicant's assertion of 
improved clinical outcomes for IMDELLTRATM compared to 
previously available therapy.
---------------------------------------------------------------------------

    \106\ Coutinho, 2019, op. cit.
    \107\ Desai, 2023, op. cit.
    \108\ Ahn, 2023, op. cit.
    \109\ Sands, 2024, op. cit.
    \110\ Dingemans, 2024, op. cit.
    \111\ von Pawel, 1999, op. cit.
    \112\ Desai, 2023, op. cit.
    \113\ Ahn, 2023, op. cit.
    \114\ Desai, 2023, op. cit.
    \115\ Ahn, 2023, op. cit.
    \116\ Dingemans, 2024, op. cit.
---------------------------------------------------------------------------

    We agree with the applicant that head-to-head trials, while 
preferred, are not required for comparing currently available therapy. 
However, we note that among the clinical trial and real-world data 
provided for alternative therapies to IMDELLTRATM, there was 
no control for confounding variables to ensure similar patients were 
being compared to those who took IMDELLTRATM. Additionally, 
we note that the real-world data provided for lurbinectedin as third 
line therapy and the data for the subset of patients from DeLLphi-301 
with brain metastases were small sample sizes of 14 and 22, 
respectively, which may limit generalizability of these results to the 
Medicare population as confounding variables could affect the results. 
We note that exclusion of patients with brain metastases from the 
pivotal phase 2 trial for lurbinectedin does not exclude use of this 
drug in this patient population.
    We further question the use of von Pawel et al. (1999) study of 
topotecan as a comparator to IMDELLTRATM since it was 
conducted approximately 25 years before the IMDELLTRATM 
phase 2 trial (Ahn et al., 2023) and included some highly varied 
patient outcomes (such as topotecan duration of responses ranging from 
9.4-50.1 weeks). We note that guidelines and treatment protocols for 
SCLC have evolved over this extended period and the resulting changes 
in care standards may have impacted the outcomes observed from the 
older study versus the more recent one.
    In addition, the applicant stated that clinical trials of topotecan 
and lurbinectedin reported higher rates of >= Grade 3 neutropenia than 
reported in the DeLLphi-301 study with IMDELLTRATM 
monotherapy, but did not consider other serious adverse events such as 
cytokine release syndrome (CRS) or immune effector cell-associated 
neurotoxicity syndrome (ICANS), which are possible side effects for 
IMDELLTRATM but not for topotecan or lurbinectedin. We 
further note that there was no control for potential confounding 
variables in the patient populations in the comparisons of neutropenia 
rates, and it is therefore difficult to draw conclusions regarding 
relative side effect profiles among these different trials.
    We are inviting public comments on whether IMDELLTRATM 
meets the substantial clinical improvement criterion.
i. IntelliSep Test
    Cytovale, Inc. submitted an application for new technology add-on 
payments for the IntelliSep[supreg] Test for FY 2026. According to the 
applicant, the IntelliSep[supreg] Test is a semi-quantitative test that 
assesses cellular host response via a microfluidic deformability 
cytometry of leukocyte biophysical properties and is intended for use 
in conjunction with clinical assessments and laboratory findings to aid 
in the early detection of sepsis with organ dysfunction for adults 
presenting to the Emergency Department (ED). The IntelliSep[supreg] 
Test generates an index value that falls within 1 of 3 discrete 
interpretation bands based on the probability of sepsis with organ 
dysfunction manifesting within the first 3 days after testing.

[[Page 18129]]

    Please refer to the online application posting for the 
IntelliSep[supreg] Test, available at https://mearis.cms.gov/public/publications/ntap/NTP24100553685, for additional detail describing the 
technology and the disease diagnosed in part by the technology.
    With respect to the newness criterion, according to the applicant, 
the IntelliSep[supreg] Test was granted 510(k) clearance from FDA on 
December 20, 2022, for use in adult patients with signs and symptoms of 
infection who present to the ED. According to the applicant, the 
IntelliSep[supreg] Test was commercially available immediately after 
FDA marketing authorization. The applicant stated that one 
IntelliSep[supreg] Test is used per patient per inpatient stay.
    The applicant stated that, effective April 1, 2025, the following 
ICD-10-PCS procedure code may be used to uniquely describe procedures 
involving the use of the IntelliSep[supreg] Test: XXE5X5A (Measurement 
of immune response, whole blood cellular assessment via microfluidic 
deformability, new technology group 10). The applicant provided a list 
of diagnosis codes that may be used to currently identify the 
indication for the IntelliSep[supreg] Test using the ICD-10-CM coding 
system. Please refer to the online application posting for the complete 
list of ICD-10-CM codes provided by the applicant.
    As previously discussed, if a technology meets all three of the 
substantial similarity criteria under the newness criterion, it would 
be considered substantially similar to an existing technology and would 
not be considered ``new'' for the purpose of new technology add-on 
payments.
    With respect to the substantial similarity criteria, the applicant 
asserted that the IntelliSep[supreg] Test is not substantially similar 
to other currently available technologies because the 
IntelliSep[supreg] Test is the only FDA-cleared test that uses a 
microfluidic deformability cytometry technique for early detection of 
sepsis in the ED regardless of whether the patient is admitted to the 
hospital or not and that therefore, the technology meets the newness 
criterion. The following table summarizes the applicant's assertions 
regarding the substantial similarity criteria. Please see the online 
application posting for the IntelliSep[supreg] Test for the applicant's 
complete statements in support of its assertion that the 
IntelliSep[supreg] Test is not substantially similar to other currently 
available technologies.

--------------------------------------------------------------------------------------------------------------------------------------------------------
              Substantial similarity criteria                  Applicant response               Applicant assertions regarding this criterion
--------------------------------------------------------------------------------------------------------------------------------------------------------
Does the technology use the same or similar mechanism of    No.....................  The IntelliSep[supreg] Test is the only test that uses a
 action to achieve a therapeutic outcome?                                             microfluidic deformability cytometry technique to measure the
                                                                                      biophysical properties of thousands of individual leukocytes in
                                                                                      rapid succession. These properties have been shown to differ in
                                                                                      quiescent white blood cell populations when compared to those in
                                                                                      septic patients, enabling for rapid assessment of the host
                                                                                      response and the likelihood of having or developing sepsis. Other
                                                                                      tests for sepsis exist, but these tests measure biomarker levels
                                                                                      or gene expression to generate their signal.
Is the technology assigned to the same MS-DRG as existing   Yes....................  The use of any test to detect the presence of sepsis does not
 technologies?                                                                        impact the MS-DRG assignment of the discharge.
Does new use of the technology involve the treatment of     No.....................  While other tests can be used to detect the presence of sepsis, the
 the same/similar type of disease and the same/similar                                IntelliSep[supreg] Test is the first and only FDA-cleared test for
 patient population when compared to an existing                                      early detection of sepsis with organ dysfunction in adult patients
 technology?                                                                          with signs and symptoms of infection who present to the ED,
                                                                                      regardless of whether the patient is admitted to the hospital or
                                                                                      not. Other tests indicated for early detection of sepsis can only
                                                                                      be administered after the patient has been admitted to the
                                                                                      hospital.
--------------------------------------------------------------------------------------------------------------------------------------------------------

    With respect to the substantial similarity criteria, we note the 
following concerns. We note that the applicant did not compare the 
IntelliSep[supreg] Test's mechanism of action to those of other sepsis 
tests or detection tools, such as the Early Sepsis Indicator for 
monocyte distribution width (MDW), SeptiCyte[supreg] RAPID, and Sepsis 
ImmunoScoreTM. We further note that MDW measurement involves 
the assessment of white blood cells to detect pathogen-induced 
infections. Specifically, MDW measures the variability in peripheral 
monocyte morphologic characteristics that increase during early phases 
of infection after pathogen-induced monocyte activation.\117\ Notably, 
monocytes (measured for MDW) are one type of leukocyte, and the 
IntelliSep[supreg] Test also evaluates leukocytes in its mechanism of 
action.\118\ While the techniques of leukocyte measurement may differ, 
the subject of measurement appears to be the same or similar. 
Therefore, we question whether the IntelliSep[supreg] Test's 
measurement of leukocytes and their deformities is a unique mechanism 
of action, particularly in comparison to the Early Sepsis Indicator. 
Further, we question whether the measurement of different biomarkers or 
gene expression to determine the risk of sepsis is different than the 
measurement of leukocyte properties to determine the risk of sepsis. We 
are interested in information regarding how the IntelliSep[supreg] 
Test's mechanism of action differs from other such sepsis tests and 
detection tools.
---------------------------------------------------------------------------

    \117\ Malinovska, A., Hernried, B., Lin, A., Badaki-Makun, O., 
Fenstermacher, K., Ervin, A.M., Ehrhardt, S., Levin, S., & Hinson, 
J.S. (2023). Monocyte Distribution Width as a Diagnostic Marker for 
Infection: A Systematic Review and Meta-analysis. Chest, 164(1), 
101-113. https://doi.org/10.1016/j.chest.2022.12.049.
    \118\ U.S. Food and Drug Administration. (2022). 510(k) approval 
letter for IntelliSep Test, 21 CFR 866.3215, device to detect and 
measure non-microbial analyte(s) in human clinical specimens to aid 
in assessment of patients with suspected sepsis. https://www.accessdata.fda.gov/cdrh_docs/pdf22/K220991.pdf.
---------------------------------------------------------------------------

    In addition, while the applicant stated that the use of the 
IntelliSep[supreg] Test does not involve treatment of the same or 
similar population and disease as existing technologies, we note that 
the IntelliSep[supreg] Test is a diagnostic tool to evaluate patients 
with suspected infection, as are other FDA-cleared sepsis diagnostic 
tools, such as those that calculate Quick Sequential Organ Failure 
Assessment (qSOFA) scores (for example, SpassageQ \119\ or NAVOY 
CDS[supreg] \120\). Furthermore, there are also other means of 
assessment, including body temperature, respiratory rate, heart rate, 
blood counts, and blood cultures, that are used to diagnosis sepsis. We 
also question whether a patient's location, whether in the ED, admitted 
to the hospital, or in the intensive care

[[Page 18130]]

unit (ICU) constitutes a different population. Further, we note that 
there are existing sepsis diagnostic technologies that are also 
approved for use in the ED such as the Early Sepsis Indicator and 
Sepsis ImmunoScoreTM, which were FDA market-authorized on 
March 18, 2019 and April 2, 2024, respectively.121 122 
Therefore, it is unclear that there are no existing technologies other 
than the IntelliSep[supreg] Test that are involved with the diagnosis 
of sepsis in adult patients who have signs and symptoms of infection.
---------------------------------------------------------------------------

    \119\ https://www.accessdata.fda.gov/cdrh_docs/pdf23/K230386.pdf.
    \120\ https://www.accessdata.fda.gov/cdrh_docs/pdf24/K240558.pdf.
    \121\ https://www.accessdata.fda.gov/scrIpts/cdrh/cfdocs/cfpmn/pmn.cfm?id=K181599.
    \122\ https://www.accessdata.fda.gov/cdrh_docs/pdf23/DEN230036.pdf.
---------------------------------------------------------------------------

    We are inviting public comments on whether the IntelliSep[supreg] 
Test is substantially similar to existing technologies and whether the 
IntelliSep[supreg] Test meets the newness criterion.
    With respect to the cost criterion, the applicant provided an 
analysis to demonstrate that the IntelliSep[supreg] Test meets the cost 
criterion. The analysis followed the order of operations summarized in 
the following table.

                                      IntelliSep[supreg] Test Cost Analysis
----------------------------------------------------------------------------------------------------------------
 
----------------------------------------------------------------------------------------------------------------
Inclusion/exclusion criteria...........  For the Inclusion/Exclusion criteria used in the Cost Analysis,
                                          including the data source and lists of ICD-10-CM codes and MS-DRGs
                                          used by the applicant, see the cost criterion codes and MS-DRGs
                                          attachment included in the online posting for the IntelliSep[supreg]
                                          Test.
Claims identified......................  2,708,804 claims mapping to 717 MS-DRGs, with 18.86% of claims mapping
                                          to MS-DRG 871 (Septicemia or Severe Sepsis without MV >96 Hours with
                                          MCC).
Charges removed for prior technology...  Per the applicant, the IntelliSep[supreg] Test is not replacing a prior
                                          technology as it provides additional information to the clinician to
                                          determine if the patient has sepsis. As such, the applicant did not
                                          remove any estimated charges for a prior technology. The applicant
                                          stated that 25% of charges associated with Room and Board (revenue
                                          centers 011X-015X) and ICU/CCU (021X, 022X) were removed as the use of
                                          this technology can reduce average length of stay.
Standardized charges...................  The applicant used the standardization formula provided in Appendix A
                                          of the application. The applicant used all relevant values reported in
                                          the impact file posted with the FY 2023 IPPS/LTCH PPS final rule
                                          correcting amendment.
Inflation factor.......................  The applicant applied an inflation factor of 12.87% to the standardized
                                          charges, based on the inflation factor used to calculate outlier
                                          threshold charges in the FY 2025 IPPS/LTCH PPS final rule.
Charges added for the new technology...  The applicant added charges for the new technology by dividing the cost
                                          of the new technology by the national average cost-to-charge ratio of
                                          0.102 for Laboratory from the FY 2025 IPPS/LTCH PPS final rule. The
                                          applicant did not add indirect charges related to the new technology.
Cost analysis results..................  Average case-weighted threshold amount: $75,886.
                                         Final inflated average case-weighted standardized charge per case:
                                          $86,075.
----------------------------------------------------------------------------------------------------------------

    Because the final inflated average case-weighted standardized 
charge per case exceeded the average case-weighted threshold amount, 
the applicant asserted that the IntelliSep[supreg] Test meets the cost 
criterion.
    We are inviting public comments on whether the IntelliSep[supreg] 
Test meets the cost criterion.
    With regard to the substantial clinical improvement criterion, the 
applicant asserted that the IntelliSep[supreg] Test represents a 
substantial clinical improvement over existing technologies because the 
IntelliSep[supreg] Test is the only technology that is FDA-cleared for 
use in the ED to rapidly assess immune activation and identify sepsis 
risk in approximately 10 minutes, providing actionable results that 
significantly impact clinical decision-making and patient outcomes. The 
applicant provided 9 studies to support these claims,\123\ as well as 
19 background articles about international sepsis guidelines, 
antimicrobial therapy initiation, timing of antibiotic administration, 
and other topics related to sepsis detection. We note that two other 
articles were submitted as supporting evidence (Kraus et al., 2023; 
Rhee et al., 2017), which we believe should be characterized as 
background articles because they do not directly assess the use of the 
IntelliSep[supreg] Test.\124\ Instead, Kraus et al. (2023) focused on 
evaluating key attributes of rapid host response sepsis tests via an 
expert review panel, and Rhee et al. (2017) estimated the U.S. 
incidence of sepsis and sepsis trends using electronic health records. 
The following table summarizes the applicant's assertions regarding the 
substantial clinical improvement criterion. Please see the online 
posting for the IntelliSep[supreg] Test for the applicant's complete 
statements regarding the substantial clinical improvement criterion and 
the supporting evidence provided.
---------------------------------------------------------------------------

    \123\ One of these studies (Sheybani et al., 2024) is a 
published abstract that was retracted.
    \124\ Kraus, C.K., Nguyen, H.B., Jacobsen, R.C., Ledeboer, N.A., 
May, L.S., O'Neal, H.R., Jr., Puskarich, M.A., Rice, T.W., Self, 
W.H., & Rothman, R.E. (2023). Rapid identification of sepsis in the 
emergency department. Journal of the American College of Emergency 
Physicians Open, 4, e12984. https://doi.org/10.1002/emp2.12984.

----------------------------------------------------------------------------------------------------------------
    Applicant statements in support                   Supporting evidence provided by the applicant
----------------------------------------------------------------------------------------------------------------
Substantial Clinical Improvement Assertion #1: The technology offers the ability to diagnose a medical condition
in a patient population where that medical condition is currently undetectable or offers the ability to diagnose
        a medical condition earlier in a patient population than allowed by currently available methods.
----------------------------------------------------------------------------------------------------------------
IntelliSep[supreg] Test assists          Sheybani, Roya, Matt Sorrells, Daniel Henning, et al. ``Evaluation of a
 physicians in identifying patients       cellular host response test in sepsis diagnosis and risk-
 where sepsis is unlikely, allowing for   stratification in emergency patients with hemodynamic or
 the more rapid pursuit of alternate      cardiopulmonary instability'' CHEST 166, no. 4 (October 1, 2024):
 diagnoses.                               A2163-64. https://doi.org/10.1016/j.chest.2024.06.1335
                                         O'Neal HR Jr., et al. Cellular host response sepsis test for risk
                                          stratification of patients in the emergency department: a pooled
                                          analysis. Acad Emerg Med. 2024a.
                                         The applicant also provided background information to support this
                                          claim, which can be accessed via the online posting for the
                                          technology.

[[Page 18131]]

 
IntelliSep[supreg] Test allows           O'Neal, 2024a, op. cit.
 clinicians to make early, appropriate   Thomas CB, Hollis AK, Sorrells MG, et al. Evaluation of early-stage
 antibiotic decisions in patients with    implementation results of a cellular host-response test in an
 suspected sepsis while pursuing          emergency department setting. Presented at ECCMID 2024a.
 antimicrobial stewardship targets.      The applicant also provided background information to support this
                                          claim, which can be accessed via the online posting for the
                                          technology.
IntelliSep[supreg] Test provides         Jagneaux T, Grantham A, Richard K, et al. Novel Diagnostic for Patients
 clinicians with actionable results       Presenting to the ED with Possible Infection. Association for
 sooner than pathogen-based detection     Diagnostics & Laboratory Medicine Conference. July 31, 2024.
 systems.                                O'Neal, 2024a, op. cit.
                                         O'Neal HR Jr, Sheybani R, Janz DR, et al. Validation of a Novel, Rapid
                                          Sepsis Diagnostic for Emergency Department Use. Crit Care Explor.
                                          2024b;6(2):e1026. Published 2024b Feb 7. doi:10.1097/
                                          CCE.0000000000001026.
                                         The applicant also provided background information to support this
                                          claim, which can be accessed via the online posting for the
                                          technology.
IntelliSep[supreg] Test outperforms      O'Neal, 2024a, op. cit.
 current sepsis diagnostic tools         The applicant also provided background information to support this
 available for use in the Emergency       claim, which can be accessed via the online posting for the
 Department.                              technology.
IntelliSep[supreg] Test effectively      O'Neal, 2024a, op. cit.
 differentiates sepsis from non-         The applicant also provided background information to support this
 specific biomarker elevations in         claim, which can be accessed via the online posting for the
 various clinical conditions.             technology.
Sepsis is a dysregulated response to     Guillou L, Sheybani R, Jensen AE, et al. Development and validation of
 infection. IntelliSep[supreg] Test is    a cellular host response test as an early diagnostic for sepsis. PLoS
 the only FDA-cleared test to assess      One. 2021;16(4):e0246980. Published 2021 Apr 15. doi:10.1371/
 immune response in patients presenting   journal.pone.0246980.
 to the ED.                              O'Neal, 2024a, op. cit.
                                         Sorrells MG, Seo Y, Magnen M, et al. Biophysical Changes of Leukocyte
                                          Activation (and NETosis) in the Cellular Host Response to Sepsis.
                                          Diagnostics. 2023;13:1435. doi:10.3390/diagnostics13081435.
                                         The applicant also provided background information to support this
                                          claim, which can be accessed via the online posting for the
                                          technology.
----------------------------------------------------------------------------------------------------------------
 Substantial Clinical Improvement Assertion #2: The technology significantly improves clinical outcomes relative
                                to services or technologies previously available
----------------------------------------------------------------------------------------------------------------
IntelliSep[supreg] Test reduces door to  Jagneaux, 2024, op. cit.
 bedtime for patients presenting with    The applicant also provided background information to support this
 Occult sepsis who appear clinically      claim, which can be accessed via the online posting for the
 stable by triage staff.                  technology.
 IntelliSep[supreg] Test identifies
 high-risk patients earlier, even when
 they appear clinically stable.
IntelliSep[supreg] Test results enable   O'Neal, 2024a, op. cit.
 ED providers to decrease use of         Thomas, 2024a, op. cit.
 diagnostic images and testing,          The applicant also provided background information to support this
 resulting in decreased exposure and      claim, which can be accessed via the online posting for the
 associated risks.                        technology.
IntelliSep[supreg] Test's rapid          Jagneaux, 2024, op. cit.
 turnaround time allows for prompt       Thomas C, Richard K, Grantham A, et al. Evaluation of early stage
 attention to infection source            implementation results of a cellular host-response test in decreasing
 identification and control.              sepsis mortality for patients presenting to the ED. Presented at:
                                          Society of Critical Care Medicine (SCCM) Annual Congress; February 23-
                                          25, 2025; Orlando, Florida, USA.
                                         The applicant also provided background information to support this
                                          claim, which can be accessed via the online posting for the
                                          technology.
IntelliSep[supreg] Test aids in          O'Neal, 2024a, op. cit.
 reducing risk of mortality amongst      Jagneaux, 2024, op. cit.
 tested patients.                        Thomas, 2025, op. cit.
                                         The applicant also provided background information to support this
                                          claim, which can be accessed via the online posting for the
                                          technology.
IntelliSep[supreg] Test aids in          O'Neal, 2024a, op. cit.
 reducing average length of stay (LOS)   Jagneaux, 2024, op. cit.
 amongst tested patients.                Thomas CB, Hollis A, Teague L, et al. The fiscal impact of a rapid
                                          sepsis diagnostic in the Emergency Department (ED). Presented at: 44th
                                          International Symposium on Intensive Care and Emergency Medicine
                                          (ISICEM); 2024b; Brussels, Belgium.
                                         The applicant also provided background information to support this
                                          claim, which can be accessed via the online posting for the
                                          technology.
IntelliSep[supreg] Test aids improved    O'Neal, 2024a, op. cit.
 compliance with the CMS SEP-1 and       Jagneaux, 2024, op. cit.
 Surviving Sepsis Campaign 3-hour        The applicant also provided background information to support this
 bundle compliance.                       claim, which can be accessed via the online posting for the
                                          technology.
IntelliSep[supreg] Test aids sepsis      O'Neal, 2024a, op. cit.
 antibiotic initiation consistent with   Jagneaux, 2024, op. cit.
 current consensus guidelines.           The applicant also provided background information to support this
                                          claim, which can be accessed via the online posting for the
                                          technology.
----------------------------------------------------------------------------------------------------------------


[[Page 18132]]

    We also received a public comment in response to the New Technology 
Town Hall meeting notice published in the Federal Register regarding 
the substantial clinical improvement criterion for the 
IntelliSep[supreg] Test, which we summarize in this section.
    Comment: The applicant submitted a public comment in response to 
questions asked at the Town Hall regarding the comparison of the 
IntelliSep[supreg] Test to other sepsis tests, namely to technology 
that assesses MDW and SeptiCyte[supreg] RAPID. The applicant submitted 
an additional study (Sarani et al., 2024), which concluded that the 
IntelliSep[supreg] Test, along with von Willebrand factor (vWF)/
ADAMTS13 ratios, may be useful and appear to be superior to the 
traditional marker, MDW, for the early diagnosis of sepsis in patients 
visiting the ED.\125\ This 2024 study investigated the use of the 
IntelliSep[supreg] Test, MDW, and other biomarkers to diagnose sepsis 
in 44 patients (25 patients with a low probability of sepsis and 19 
patients with a high probability of sepsis) who visited the ED at The 
University of Kansas Medical Center. The applicant noted that MDW is 
not widely used as a screening tool in the ED, which is where the 
IntelliSep[supreg] Test is indicated for use. Regarding comparison of 
the IntelliSep[supreg] Test to SeptiCyte[supreg] RAPID, the applicant 
stated that it believes a comparison between the two sepsis diagnostic 
tests is inappropriate given the differences in indicated uses for the 
tests, primarily the indicated location; IntelliSep[supreg] Test is 
indicated for use in the ED prior to the provider's decision to admit 
the patient, whereas SeptiCyte[supreg] RAPID is used first day post-
admission to the ICU. The applicant cited a recent study that found 
only 16.1 percent of patients tested with the IntelliSep[supreg] Test 
are admitted to the ICU.\126\
---------------------------------------------------------------------------

    \125\ Sarani, N., Dasgupta, A., Enders, M., Rowan, L., Elsarraj, 
H., Gralnek, S., Shay, M., Lemar, L.R., Simpson, S.Q., Cunningham, 
M.T., & Zheng, X.L. (2024). Clinical Utility of Recently Food and 
Drug Administration-Approved IntelliSep[supreg] Test (Sepsis 
Biomarker) for Early Diagnosis of Sepsis: Comparison with Other 
Biomarkers. Journal of Clinical Medicine, 13(16), 4852. https://doi.org/10.3390/jcm13164852.
    \126\ O'Neal, H.R., Jr, Sheybani, R., Kraus, C.K., Self, W.H., 
Shah, A.M., Thomas, C.B., Tse, H.T.K., & Scoggins, R. (2024b). 
Cellular host response sepsis test for risk stratification of 
patients in the emergency department: A pooled analysis. Academic 
Emergency Medicine, 31(9), 883-893. https://doi.org/10.1111/acem.14923.
---------------------------------------------------------------------------

    Response: We thank the applicant for its comments. After review of 
the information provided by the applicant and the public comment 
received in response to the New Technology Town Hall meeting, we have 
the following concerns regarding whether the IntelliSep[supreg] Test 
meets the substantial clinical improvement criterion. Regarding the new 
study provided by the applicant in the Town Hall comment, we note that 
Sarani et al. (2024) does not compare the IntelliSep[supreg] Test and 
MDW with respect to the ability to diagnose sepsis earlier or resulting 
clinical outcomes (for example, length of stay or mortality).
    The applicant made six claims in regard to the substantial clinical 
improvement assertion that the IntelliSep[supreg] Test offers the 
ability to diagnose sepsis in a patient population where the condition 
is currently undetectable or offers the ability to diagnose sepsis 
earlier in a patient population than allowed by currently available 
methods; however, we note that a number of these claims did not address 
this criterion. Specifically, the applicant stated that the 
IntelliSep[supreg] Test (1) allows clinicians to make early, 
appropriate antibiotic decisions in patients with suspected sepsis 
while pursuing antimicrobial stewardship targets; (2) outperforms 
current sepsis diagnostic tools available for use in the ED; (3) 
effectively differentiates sepsis from non-specific biomarker 
elevations in various clinical conditions; (4) is the only FDA-cleared 
test to assess dysregulated immune response to infection (sepsis) in 
patients presenting to the ED; and (5) has demonstrated a high NPV for 
sepsis and therefore allows for it to be ruled out where sepsis is 
unlikely. These claims discuss the reliability of the 
IntelliSep[supreg] Test outcomes or the potential benefits of sepsis 
risk stratification, or relate to not diagnosing sepsis, and do not 
address the ability of the IntelliSep[supreg] Test to diagnose a 
patient population where sepsis is currently undetectable or offer the 
ability to diagnose sepsis earlier than other technologies.
    We further note that none of the claims made by the applicant under 
this assertion provided a comparison of time to diagnosis to currently 
available sepsis diagnostics in order to demonstrate that the 
IntelliSep[supreg] Test can diagnose sepsis earlier than currently 
available methods. While the applicant provided O'Neal et al. (2024b), 
which established the 7.2 minute testing turnaround time for the 
IntelliSep[supreg] Test to support the claim that it provides 
clinicians with actionable results sooner than pathogen-based detection 
systems, the only other testing time provided as a comparison was from 
a study comparing time to positivity between the BacT/Alert and BACTEC 
blood culture systems (Butler-Laporte et al., 2020). We would 
appreciate evidence comparing time to diagnosis for the 
IntelliSep[supreg] Test and other existing sepsis detection tools also 
developed to address the length of time to definite sepsis diagnosis 
with blood cultures, such as Early Sepsis Indicator or Sepsis 
ImmunoScore, in order to demonstrate the applicant's assertion that the 
IntelliSep[supreg] Test allows for faster detection of sepsis compared 
to existing technologies.
    We further note that we did not receive any information 
demonstrating that clinicians changed the management of patients due to 
the use of the IntelliSep[supreg] Test. The Jagneaux et al. (2024) 
study measured time-to-bed assignment (TTB) when nurses at one medical 
center triaged patients in the ED waiting room, tested patients using 
the IntelliSep[supreg] Test, and placed patients with 
IntelliSep[supreg] Band 3 results in ED beds. The study showed that TTB 
for Band 3 was shorter than TTB for Band 1, but we question whether TTB 
between risk-stratified bands should be considered a change in 
management. The study did not include a control group or comparison to 
other sepsis tests or diagnostic tools to demonstrate differences in 
patient management between the use of the IntelliSep[supreg] Test and 
other standards of care. We further note that Jagneaux et al. (2024), 
which is an unpublished abstract, lacked details regarding the patient 
population, study protocol, and statistical analyses, and is only 
representative of a single medical center. We are therefore unclear 
whether the results may be influenced by potential confounding factors, 
and we question whether they are generalizable to other EDs or 
geographic regions as well as to the Medicare population.
    The applicant also made seven claims in regard to the substantial 
clinical improvement assertion that the IntelliSep[supreg] Test 
significantly improves clinical outcomes relative to services or 
technologies previously available. However, we note that a number of 
these claims do not address this criterion. In particular, the 
applicant stated that the IntelliSep[supreg] Test (1) reduces door-to-
bed time for patients presenting with occult sepsis who appear 
clinically stable by triage staff; (2) allows for prompt attention to 
infection source identification and control through its rapid 
turnaround time; (3) aids improved compliance with the CMS SEP-1 and 
Surviving Sepsis Campaign 3-hour bundle compliance; and (4) aids sepsis 
antibiotic initiation consistent with current consensus guidelines. 
First, we question whether the claim that the IntelliSep[supreg] Test 
reduces door-to-bed time is an appropriate proxy for timely

[[Page 18133]]

antibiotic administration and the potential for subsequent clinical 
outcomes (such as mortality). The strength of the direct association 
between time from door-to-bed and clinical outcome improvement or 
whether any outcomes are inferred from surrogate endpoints is unclear. 
We also note that the provided evidence does not demonstrate whether 
the IntelliSep[supreg] Test is the driving factor, among all other 
tests and clinical practices, that allows timely infection source 
identification and control and, therefore, decreases mortality. 
Additionally, we are unclear about the direct association between the 
IntelliSep[supreg] Test and antibiotic initiation for sepsis consistent 
with current guidelines as this is also only inferred, and the 
IntelliSep[supreg] Test is one tool among others used to diagnose 
sepsis. We also question whether compliance with the CMS SEP-1 and 
Surviving Sepsis Campaign 3-hour bundles is intended as a proxy for 
decreased mortality that may occur from reducing the time to antibiotic 
administration. We note that a decrease in mortality is only inferred, 
and the provided evidence does not demonstrate that the 
IntelliSep[supreg] Test decreases mortality. We are unclear how these 
claims relate to a demonstration of substantial clinical improvement 
over existing technologies because these claims do not pertain to 
clinical outcomes described at Sec.  412.87(b)(1)(ii)(C), such as a 
reduction in mortality or a decreased rate of at least one subsequent 
diagnostic or therapeutic intervention.
    We also note that the claims and the provided evidence regarding 
the IntelliSep[supreg] Test's ability to significantly improve clinical 
outcomes relative to services or technologies previously available lack 
a comparison of the IntelliSep[supreg] Test to existing technologies 
used to diagnose sepsis, such as the previously discussed Early Sepsis 
Indicator, SeptiCyte[supreg] RAPID, and Sepsis ImmunoScore\TM\. While 
the applicant stated in its Town Hall comment that a comparison between 
the IntelliSep[supreg] Test and SeptiCyte[supreg] RAPID is 
inappropriate due to the differences in indicated location, we question 
whether the impact of testing different patients in different 
environments within a hospital would be relevant to clinical outcomes 
such as timely antibiotic administration and mortality. In addition, we 
note that both Early Sepsis Indicator and Sepsis ImmunoScore\TM\ are 
indicated for use in the ED. We are interested in comparative evidence 
for other sepsis diagnostic technologies in order to evaluate the 
IntelliSep[supreg] Test's clinical outcomes relative to other 
technologies. We also note that since much of the evidence provided 
across claims (Thomas et al. (2025); Thomas et al. (2024a); Thomas et 
al. (2024b)) is unpublished, the details provided do not include study 
protocols or statistical methods and measures. As such, we are unable 
to account for differences in the outcome measures or determine if the 
results are statistically significant. Further, because these study 
results are from one academic medical center, we question whether the 
results are generalizable to other hospitals and more broadly to the 
Medicare population. Where the Jagneaux et al. (2024) study was used to 
support claims regarding the IntelliSep[supreg] Test's ability to 
significantly improve clinical outcomes relative to services or 
technologies previously available, we also have the same concerns as 
previously discussed, including lack of details regarding the patient 
population, study protocol, and statistical analyses.
    In addition, with respect to the claim that IntelliSep[supreg] Test 
results enable ED providers to decrease the use of diagnostic images 
and testing, resulting in decreased exposure and associated risks, 
while Thomas et al. (2024a) evaluated the impact of the 
IntelliSep[supreg] Test on blood culture orders, antibiotic usage, and 
patients' LOS for 1,275 patients who presented to an ED with signs or 
symptoms of infection, we note that the study did not determine whether 
a decrease in these measures resulted in patients experiencing 
decreased exposure and associated risks or a significant improvement in 
clinical outcomes relative to technologies previously available.
    While the Jagneaux et al. (2024) study provided by the applicant 
did not measure mortality, the applicant provided the O'Neal, et al. 
(2024a) study, which did measure all-cause cumulative hospital 
mortality stratified by IntelliSep[supreg] bands; however, the study 
only compared the IntelliSep[supreg] Test to common traditional sepsis 
tests or detection tools, such as white blood cell count, 
procalcitonin, lactate, blood cultures, and the Sequential Organ 
Failure Assessment (SOFA). O'Neal et al. (2024a) did not provide 
hospital mortality data to demonstrate the IntelliSep[supreg] Test 
improved clinical outcomes relative to other technologies that are 
available, such as Early Sepsis Indicator, SeptiCyte[supreg] RAPID, and 
Sepsis ImmunoScore\TM\.
    Regarding the claim that the IntelliSep[supreg] Test aids in 
reducing average LOS among tested patients, the Thomas et al. (2024b) 
study submitted by the applicant found that incorporating the 
IntelliSep[supreg] Test and releasing its results to clinicians for 413 
patients of a large U.S. academic medical center led to a reduction of 
1.28 days for inpatients and 2.42 days for ICU patients, when compared 
to 196 patients in the control group for which the IntelliSep[supreg] 
Test was performed but not released to clinicians. We note that the 
study used control and intervention cohorts that were not concurrent, 
and we question the impact from varying confounders, such as changes in 
clinical policy. We note that the applicant also included background 
studies to demonstrate a positive association between longer hospital 
LOS and the probability of acquiring an infection, readmission, 
negative emotions, and increased hospital costs.\127\ However, these 
studies did not assess the IntelliSep[supreg] Test's ability to affect 
LOS, rates of infection, readmission, or other clinical outcomes.
---------------------------------------------------------------------------

    \127\ Hassan, M., Tuckman, H.P., Patrick, R.H., Kountz, D.S., & 
Kohn, J.L. (2010). Hospital length of stay and probability of 
acquiring infection. International Journal of Pharmaceutical and 
Healthcare Marketing, 4(4), 324-338. https://doi.org/10.1108/17506121011095182.
---------------------------------------------------------------------------

    Lastly, we question how much capability should be attributed to the 
IntelliSep[supreg] Test when making clinical judgments and improving 
clinical outcomes, and we welcome additional information.
    We are inviting public comments on whether the IntelliSep[supreg] 
Test meets the substantial clinical improvement criterion.
j. Neuroguard IEP[supreg] 3-in-1 Carotid Stent and Post-Dilation 
Balloon System With Integrated Embolic Protection
    Contego Medical, Inc. submitted an application for new technology 
add-on payments for the Neuroguard IEP[supreg] 3-in-1 Carotid Stent and 
Post-Dilation Balloon System with Integrated Embolic Protection 
(Neuroguard IEP[supreg] System) for FY 2026. According to the 
applicant, the Neuroguard IEP[supreg] System combines a carotid stent 
with an integrated 40 [mu]m embolic protection filter and post-dilation 
balloon. Per the applicant, the Neuroguard IEP[supreg] System restores 
and maintains vessel patency while stabilizing plaque, and by capturing 
small emboli during critical phases, it reduces the risk of stroke 
during the procedure and helps prevent future stroke.
    Please refer to the online application posting for the Neuroguard 
IEP[supreg] System, available at https://mearis.cms.gov/public/publications/ntap/NTP241004CNKB9, for additional detail describing the 
technology and carotid artery disease.

[[Page 18134]]

    With respect to the newness criterion, according to the applicant, 
the Neuroguard IEP[supreg] System was granted premarket approval (PMA) 
from FDA on October 11, 2024 for improving the carotid luminal diameter 
in subjects at high risk for adverse events from a carotid 
endarterectomy who require carotid revascularization and meet the 
criteria outlined below: patients with symptomatic stenosis of the 
common or internal carotid artery with >=50 percent as determined by 
angiography using North American Symptomatic Carotid Endarterectomy 
Trial (NASCET) methodology or patients with asymptomatic stenosis of 
the common or internal carotid artery with >=80 percent as determined 
by angiography using NASCET methodology; and patients with reference 
vessel diameters 4.0 mm to 8.0 mm. The applicant and FDA approval 
letter stated that this technology is also indicated for post-dilation 
of the stent component with simultaneous capture and removal of embolic 
material. According to the applicant, the Neuroguard IEP[supreg] System 
is used in conjunction with an available primary distal embolic 
protection device as described in the Instructions for Use. According 
to the applicant, the Neuroguard IEP[supreg] System was commercially 
available immediately after its FDA approval. Per the applicant, one 
Neuroguard IEP[supreg] System typically is used per inpatient stay.
    According to the applicant, there are currently no ICD-10-PCS 
procedure codes to distinctly identify the Neuroguard IEP[supreg] 
System. We note that the applicant submitted a request for approval for 
a unique ICD-10-PCS procedure code for the Neuroguard IEP[supreg] 
System beginning in FY 2026. The applicant stated that codes I65.21 
(Occlusion and stenosis of right carotid artery), I65.22 (Occlusion and 
stenosis of left carotid artery), I65.23 (Occlusion and stenosis of 
bilateral carotid arteries), or I65.29 (Occlusion and stenosis of 
unspecified carotid artery) may be used to currently identify the 
indication for the Neuroguard IEP[supreg] System under the ICD-10-CM 
coding system.
    As previously discussed, if a technology meets all three of the 
substantial similarity criteria under the newness criterion, it would 
be considered substantially similar to an existing technology and would 
not be considered ``new'' for the purpose of new technology add-on 
payments.
    With respect to the substantial similarity criteria, the applicant 
asserted that the Neuroguard IEP[supreg] System is not substantially 
similar to other currently available technologies because it is a 
first-in-class, novel device that uses a different mechanism of action 
compared to existing technologies by integrating a stent with a 40 
[mu]m (3 to 4 times smaller than pores of traditional filters) embolic 
protection filter and a post-dilation balloon, aiming to streamline the 
procedure and increase the effectiveness of embolic protection during 
carotid stenting, and that no other similar device is currently 
available in the U.S., and therefore, the technology meets the newness 
criterion. The following table summarizes the applicant's assertions 
regarding the substantial similarity criteria. Please see the online 
application posting for the Neuroguard IEP[supreg] System for the 
applicant's complete statements in support of its assertion that the 
Neuroguard IEP[supreg] System is not substantially similar to other 
currently available technologies.

----------------------------------------------------------------------------------------------------------------
                                      Applicant
 Substantial similarity criteria       response             Applicant assertions regarding this criterion
----------------------------------------------------------------------------------------------------------------
Does the technology use the same   No.............  Multiple clinical studies have reported that the majority of
 or similar mechanism of action                      debris released during carotid stenting is less than 100
 to achieve a therapeutic                            microns ([mu]m). The Neuroguard IEP[supreg] System features
 outcome?                                            an innovative 40 [mu]m embolic protection filter, with
                                                     pores 3-4 times smaller than traditional filters used in
                                                     carotid artery stenting (CAS), providing a substantial
                                                     clinical improvement in capturing those microembolic
                                                     particles. Traditional embolic protection devices (EPDs)
                                                     have pore sizes of 100 to 150 [mu]m, allowing smaller
                                                     microemboli to pass through, which can result in strokes
                                                     and cognitive impairment for patients.
                                                    Unlike other technologies, the Neuroguard IEP[supreg] System
                                                     offers continuous protection during the most critical
                                                     phases of carotid stenting--stent deployment and balloon
                                                     dilation--when the risk of plaque dislodgement is highest.
                                                     Conventional EPDs cannot use smaller pores because they are
                                                     open throughout the entire procedure and must permit
                                                     sufficient flow to reduce the risk of thrombosis and
                                                     complications. In contrast, the Neuroguard IEP[supreg]
                                                     System integrated filter is open only during the critical
                                                     phases allowing it to use smaller pores (40 [mu]m) without
                                                     increasing thrombosis risk, delivering enhanced protection
                                                     while maintaining safety.
                                                    Unlike conventional CAS systems that rely solely on separate
                                                     EPDs, the Neuroguard IEP[supreg] System's filter is
                                                     integrated into the device and dynamically adjusted to
                                                     create a complete seal against the artery wall, ensuring
                                                     even the smallest micro-emboli are captured. This greatly
                                                     reduces the risk of embolic particles traveling to the
                                                     brain, demonstrating a substantial clinical improvement
                                                     over existing technologies in stroke prevention. The
                                                     Neuroguard IEP[supreg] System stent incorporates a hybrid
                                                     design that balances flexibility and radial strength,
                                                     enabling precise deployment and secure vessel scaffolding.
                                                     This helps to minimize risks such as restenosis or stent
                                                     migration, challenges often seen with traditional stents
                                                     that compromise either flexibility or strength.
                                                    The Neuroguard IEP[supreg] System's flexible segments
                                                     facilitate deployment in challenging anatomy while
                                                     maintaining long-term vessel support. The stent is designed
                                                     to enhance precision, reduce trauma or migration risks, and
                                                     allow for predictable deployment, helping to reduce
                                                     procedural complications. By integrating embolic
                                                     protection, stenting, and dilation into one device, the
                                                     Neuroguard IEP[supreg] System eliminates the need or
                                                     multiple devices, reducing catheter exchanges and
                                                     procedural complexity. While traditional distal embolic
                                                     protection devices have larger pores that allow micro-emoli
                                                     to reach the brain, potentionally causing stroke or
                                                     cognitive impairment, the Neuroguard IEP[supreg] System
                                                     addresses this risk by capturing micro emboli, reducing the
                                                     likelihood of such adverse events. This new mechanism of
                                                     action offers a safer and more effective approach to
                                                     treating carotid artery stenosis, representing a
                                                     substantial clinical improvement over existing
                                                     technologies.

[[Page 18135]]

 
Is the technology assigned to the  Yes............  The Neuroguard IEP[supreg] System falls under the MS-DRGs
 same MS-DRG as existing                             related to procedures performed on the carotid arteries,
 technologies?                                       which include stenting procedures. However, despite being
                                                     assigned to the same MS-DRG, the Neuroguard IEP[supreg]
                                                     System represents a distinct technological advancement that
                                                     warrant separate consideration under the new technology add-
                                                     on payment criteria. Its innovative approach to embolic
                                                     protection and the demonstrated substantial clinical
                                                     improvement over existing technologies justify the need for
                                                     additional payment beyond the standard MS-DRG rates to
                                                     ensure appropriate reimbursement and broader adoption of
                                                     this superior technology.
Does new use of the technology     Yes............  The Neuroguard IEP[supreg] System is used to treat the same
 involve the treatment of the                        disease, carotid artery stenosis, in the same patient
 same/similar type of disease and                    population as existing carotid stent technologies. However,
 the same/similar patient                            it offers substantial clinical improvements, particularly
 population when compared to an                      in reducing the risk of stroke during the procedure.
 existing technology?                                Traditional CAS methods rely on separate EPDs, which have
                                                     limitations in capturing small embolic particles,
                                                     especially during the riskiest parts of the procedure--
                                                     stent deployment and balloon dilation.
----------------------------------------------------------------------------------------------------------------

    We have the following concerns with regard to the newness 
criterion. While the applicant asserted that the Neuroguard IEP[supreg] 
System is novel in that it uses a new mechanism of action because its 
40 [mu]m embolic protection filter has pores 3-4 times smaller than 
traditional filters used in CAS, we question whether this represents a 
new mechanism of action as both Neuroguard's filter and existing 
filters use a porous membrane to capture and remove embolic material 
while performing angioplasty and stenting procedures in carotid 
arteries. We note that the applicant asserted that this change in 
filter size may impact clinical outcomes, however, this is not relevant 
to mechanism of action. Furthermore, the Neuroguard IEP[supreg] System 
should always be used in conjunction with an available primary distal 
embolic protection device as described in the IFU,\128\ which suggests 
that its filter would not impact the mechanism of action of the device. 
We also note that there are other existing embolic protection filters 
used during CAS procedures that have the same 40-micron pore size, such 
as the Paladin Carotid Post-Dilation Balloon System with Integrated 
Embolic Protection (Paladin System with IEP) from the same 
manufacturer, which received FDA 510(k) clearance on September 6, 
2018.\129\
---------------------------------------------------------------------------

    \128\ Neuroguard IEP[supreg] 3-in-1 Carotid Stent, Post-Dilation 
Balloon System with Integrated Embolic Protection (https://www.accessdata.fda.gov/cdrh_docs/pdf24/P240009A.pdf).
    \129\ FDA. Section 510(k) premarket notification. Paladin 
Carotid Post-Dilation Balloon System with Integrated Embolic 
Protection. K181128. September 6, 2018 (https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/pmn.cfm?id=K181128, 
accessed 2/5/2025).
---------------------------------------------------------------------------

    In addition, while the applicant asserted that the Neuroguard 
IEP[supreg] System has a new mechanism of action because it integrates 
a stent with an embolic protection filter that opens during stent 
deployment and balloon dilation to streamline the procedure and 
increase the effectiveness of embolic protection during CAS, we 
question how integrating existing procedural devices into one device to 
eliminate the need for multiple devices results in a different 
mechanism of action, as this appears to describe an ease-of-use feature 
rather than having an impact on the technology's therapeutic outcome of 
improving carotid luminal diameter for patients with stenosis of the 
carotid artery.\130\ It is unclear how the way in which the Neuroguard 
IEP[supreg] System treats carotid artery stenosis is different from the 
way in which the many existing carotid artery stents, filters, and 
post-dilation balloons available on the market, used together or as 
part of a system, treat carotid artery stenosis. Therefore, it appears 
these technologies may have the same or a similar mechanism of action 
as the Neuroguard IEP[supreg] System. We further note that the 
applicant stated that the Neuroguard IEP[supreg] System treats the same 
disease, carotid artery stenosis, in the same patient population as 
existing carotid stent technologies, and that it maps to the same MS-
DRGs for carotid artery stenting procedures.
---------------------------------------------------------------------------

    \130\ FDA. Neuroguard IEP[supreg] 3-in-1 Carotid Stent, Post-
Dilation Balloon System with Integrated Embolic Protection. Pre-
market approval. October 11, 2024.
---------------------------------------------------------------------------

    Accordingly, as it appears that the Neuroguard IEP[supreg] System 
and existing carotid stents or stent systems, such as the GORE Carotid 
Stent, RX Acculink\TM\ Carotid Stent System, or Carotid 
WALLSTENT[supreg] Monorail[supreg] Endoprosthesis, or the Paladin 
System with IEP used with any available carotid artery stent, may use 
the same or similar mechanism of action to achieve a therapeutic 
outcome, would be assigned to the same MS-DRG, and would treat the same 
or similar patient population and disease, we question whether these 
technologies may be substantially similar to one another. We note that, 
per our policy, if technologies are substantially similar to each 
other, we use the earliest market availability date as the beginning of 
the newness period for the technologies. Accordingly, if we determine 
that the Neuroguard IEP[supreg] System is substantially similar to 
existing carotid stents or systems as described previously, because the 
3-year anniversary of the FDA clearance of all these current 
technologies occurred prior to FY 2026,131 132 133 the 
Neuroguard IEP[supreg] System would not be considered new.
---------------------------------------------------------------------------

    \131\ The 3-year anniversary of FDA PMA approval for the RX 
Acculink TM Carotid Stent System was August 30, 2007. 
https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P040012.
    \132\ The 3-year anniversary of FDA PMA approval for Carotid 
WALLSTENT[supreg] Monorail[supreg] Endoprosthesis was October 23, 
2011. https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?id=P050019.
    \133\ The 3-year anniversary of FDA PMA approval for GORE 
Carotid Stent was November 1, 2021. https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpma/pma.cfm?ID=P180010.
---------------------------------------------------------------------------

    We are inviting public comment on whether the Neuroguard 
IEP[supreg] System is substantially similar to existing technologies 
and whether the Neuroguard IEP[supreg] System meets the newness 
criterion.
    With respect to the cost criterion, the applicant provided two 
analyses to demonstrate that the Neuroguard IEP[supreg] System meets 
the cost criterion. Each analysis followed the order of operations 
summarized in the following table.

[[Page 18136]]



                                   Neuroguard IEP[supreg] System Cost Analysis
----------------------------------------------------------------------------------------------------------------
 
----------------------------------------------------------------------------------------------------------------
Inclusion/exclusion criteria...........  For the Inclusion/Exclusion criteria used in the Cost Analysis,
                                          including the data source and lists of ICD-10-CM codes, ICD-10-PCS
                                          codes, and MS-DRGs used by the applicant, see the cost criterion codes
                                          and MS-DRGs attachment included in the online posting for the
                                          Neuroguard IEP[supreg] System.
Claims identified......................  Scenario 1: 13,115 claims mapping to 69 MS-DRGs, with 49.68% claims
                                          mapping to MS-DRG 036 (Carotid Artery Stent Procedure Without CC/MCC).
                                         Scenario 2: 11,876 claims mapping to 3 MS-DRGs, with 54.86% of claims
                                          mapping to MS-DRG 036 (Carotid Artery Stent Procedure Without CC/MCC).
Charges removed for prior technology...  Per the applicant, use of the technology would replace current existing
                                          stent and dilating balloon technologies used in traditional carotid
                                          artery stenting. The applicant removed charges for the existing stent
                                          and dilating balloon by dividing the estimated costs by the national
                                          average cost-to-charge ratio of 0.259 for Implantable Devices from the
                                          FY 2025 IPPS/LTCH PPS final rule. The applicant did not remove
                                          indirect charges related to the prior technology.
Standardized charges...................  The applicant used the standardization formula provided in Appendix A
                                          of the application.
Inflation factor.......................  The applicant applied an inflation factor of 12.87% to the standardized
                                          charges, based on the inflation factor used to calculate outlier
                                          threshold charges in the FY 2025 IPPS/LTCH PPS final rule.
Charges added for the new technology...  The applicant added charges for the new technology by dividing the cost
                                          of the new technology by the national average cost-to-charge ratio of
                                          0.259 for Implantable Devices from the FY 2025 IPPS/LTCH PPS final
                                          rule. The applicant did not add indirect charges related to the new
                                          technology.
Cost analysis results..................  Scenario 1:
                                         --Average case-weighted threshold amount: $101,119.
                                         --Final inflated average case-weighted standardized charge per case:
                                          $133,183.
                                         Scenario 2:
                                         --Average case-weighted threshold amount: $95,139.
                                         --Final inflated average case-weighted standardized charge per case:
                                          $116,240.
----------------------------------------------------------------------------------------------------------------

    Because the final inflated average case-weighted standardized 
charge per case exceeded the average case-weighted threshold amount in 
both analyses, the applicant asserted that the Neuroguard IEP[supreg] 
System meets the cost criterion.
    We are inviting public comments on whether the Neuroguard 
IEP[supreg] System meets the cost criterion.
    With regard to the substantial clinical improvement criterion, the 
applicant asserted that the Neuroguard IEP[supreg] System represents a 
substantial clinical improvement over existing technologies because the 
Neuroguard IEP[supreg] System significantly improves clinical outcomes 
relative to technologies previously available by using a 40 [mu]m 
embolic protection filter that captures microemboli, unlike traditional 
filters (100-150 [mu]m) that miss smaller emboli, leading to higher 
stroke rates. Further, the applicant asserted that the Neuroguard 
IEP[supreg] System demonstrated a zero percent stroke rate in the 
PERFORMANCE I study, 1.3 percent at 30 days, and 1.8 percent at 12 
months in the PERFORMANCE II study, demonstrating substantial clinical 
improvement compared to other CAS technologies. The applicant provided 
2 studies to support its claims, as well as a supplemental document 
that presents the 30-day and 12-month stroke rates of carotid artery 
stents from clinical studies, and 8 background articles about other 
FDA-approved CAS or EPD technologies.\134\ The following table 
summarizes the applicant's assertions regarding the substantial 
clinical improvement criterion. Please see the online posting for the 
Neuroguard IEP[supreg] System for the applicant's complete statements 
regarding the substantial clinical improvement criterion and the 
supporting evidence provided.
---------------------------------------------------------------------------

    \134\ Background articles are not included in the following 
table but can be accessed via the online posting for the technology.

----------------------------------------------------------------------------------------------------------------
 
----------------------------------------------------------------------------------------------------------------
 Substantial Clinical Improvement Assertion #1: The technology significantly improves clinical outcomes relative
                                to services or technologies previously available
----------------------------------------------------------------------------------------------------------------
The Neuroguard IEP[supreg] System        Langhoff R, Petrov I, Kedev S, et al., PERFORMACE 1 Study: Novel
 demonstrates a substantial clinical      carotid stent system with integrated post-dilation balloon and embolic
 improvement over existing CAS            protection device. Catheter Cardiovasc Interv. 2022 Nov;100(6):1090-
 technologies by integrating an embolic   1099.
 protection filter that minimizes the    Gray WA, Metzger DC, Zidar J, et al. The PERFORMANCE II Trial: A
 risk of stroke and cognitive             Prospective Multicenter Investigation of a Novel Carotid Stent System.
 impairment.                              JACC Cardiovasc Interv. Published online December 20, 2024.
                                          doi:10.1016/j.jcin.2024.10.031.
                                         The applicant also provided background information to support this
                                          claim, which can be accessed via the online posting for the
                                          technology.
----------------------------------------------------------------------------------------------------------------

    We did not receive any written comments in response to the New 
Technology Town Hall meeting notice published in the Federal Register 
regarding the substantial clinical improvement criterion for the 
Neuroguard IEP[supreg] System.
    After review of the information provided by the applicant, we have 
the following concerns regarding whether the Neuroguard IEP[supreg] 
System meets the substantial clinical improvement criterion. With 
respect to the claim that the Neuroguard IEP[supreg] System 
demonstrates a substantial clinical improvement over existing CAS 
technologies by integrating an embolic protection filter that minimizes 
the risk of stroke and cognitive impairment, we note that the applicant 
has provided evidence comparing the effects of the Neuroguard 
IEP[supreg] System to historical controls based on several clinical 
trials, including the Xact[supreg] Carotid Stent System of the SECURITY 
trial,\135\ the ACCULINK carotid stent of the ARCHER

[[Page 18137]]

trial,\136\ the Carotid WALLSTENT and FilterWire EX/EZ of the BEACH 
trial,\137\ the GORE Carotid Stent of the SCAFFOLD trial,\138\ the 
S.M.A.R.T. or Precise stent with Angioguard or Angioguard XP, Cordis 
EPD of the SAPPHIRE trial,\139\ and Accunet and Acculink Systems of the 
CREST trial.\140\ However, we did not receive information comparing the 
Neuroguard IEP[supreg] System with other currently available treatments 
developed more recently, such as GORE Carotid Stent, Sterling SL 
Balloon Dilatation Catheters, or Paladin System, and we would 
appreciate additional information comparing these technologies in order 
to inform our assessment of substantial clinical improvement.
---------------------------------------------------------------------------

    \135\ FDA. SECURITY: Xact[supreg] Carotid Stent System--P040038/
S043. Summary of Safety and Effectiveness Data. Published August 5, 
2004. (https://www.fda.gov/medical-devices/recently-approved-devices/xact-carotid-stent-system-p040038s043, accessed 1/24/2025).
    \136\ Gray, W.A., Hopkins, L.N., Yadav, S., et al. (2006). 
Protected carotid stenting in high-surgical-risk patients: The 
ARCHeR results Journal of Vascular Surgery 44(2): 258-269.
    \137\ Cohen, D.J., Amarenco, P., Cramer, M.J., et al. Carotid 
Artery Revascularization in High-Surgical-Risk Patients Using the 
Carotid WALLSTENT and FilterWire EX/EZ: 1-Year Outcomes in the BEACH 
Pivotal Group. J Am Coll Cardiol. 2008;51(4):427-434. doi:10.1016/
j.jacc.2007.10.022.
    \138\ Gray, W.A., Levy, E., Bacharach, J.M., et al. (2020). 
Evaluation of a novel mesh-covered stent for treatment of carotid 
stenosis in patients at high risk for endarterectomy: 1-year results 
of the SCAFFOLD trial. Catheter Cardiovasc Interv. 96:121-127.
    \139\ Yadav, J.S., Wholey, M.H., Kuntz, R.E., Fayad, P., Katzen, 
B.T., Mishkel, G.J., Bajwa, T.K., Whitlow, P., Strickman, N.E., 
Jaff, M.R., Popma, J.J., Snead, D.B., Cutlip, D.E., Firth, B.G., 
Ouriel, K., & Stenting and Angioplasty with Protection in Patients 
at High Risk for Endarterectomy Investigators (2004). Protected 
carotid-artery stenting versus endarterectomy in high-risk patients. 
The New England Journal of Medicine, 351(15), 1493-1501. https://doi.org/10.1056/NEJMoa040127.
    \140\ Brott, T.G., Hobson, R.W. 2nd, Howard, G., et al. Stenting 
versus endarterectomy for treatment of carotid-artery stenosis 
[published correction appears in N Engl J Med. 2010 Jul 
29;363(5):498] [published correction appears in N Engl J Med. 2010 
Jul 8;363(2):198]. N Engl J Med. 2010;363(1): 11-23. doi:10.1056/
NEJMoa0912321.
---------------------------------------------------------------------------

    In addition, we note that the applicant compared the Neuroguard 
IEP[supreg] System with historical controls based on externally 
controlled trials from at least a decade ago. While the results of the 
SCAFFOLD trial were published more recently, in 2020, other externally 
controlled trials were published or completed at least a decade earlier 
(SAPPHIRE: 2004; SECURITY: 2005; ARCHER: 2006; BEACH: 2008; CREST: 
2010; ROADSTER: 2015). In particular, SAPPHIRE was conducted when CAS 
was new.\141\ We also note that the pre- and post-treatment protocols 
for the PERFORMANCE II trial were more comprehensive compared to those 
of the SAPPHIRE trial \142\ and that this may reflect changes in 
standards of care over the past two decades. For example, we note that 
the patients in the PERFORMANCE II had been given clopidogrel 75 mg (or 
equivalent) and aspirin 75 mg daily for one week before surgery, and 
dual antiplatelet therapy was required for at least 30 days after the 
procedure (and thereafter, at the physician's discretion and standard 
of care), whereas the patients in the SAPPHIRE trial were given an 
aspirin at a dose of 81 or 325 mg per day for at least 72 hours before 
the procedure and indefinitely after the procedure, and with 
clopidogrel 75 mg per day starting 24 hours before the procedure and 
continuing for two to four weeks after the procedure. We are also 
concerned that observed differences between the Neuroguard IEP[supreg] 
System and the historical controls may also reflect improvements in 
stent devices, access approaches, and embolic protection methods over 
the past decade that aimed at reducing the risk of stroke associated 
with CAS.\143\ Therefore, we question whether the observed lower stroke 
rate was at least partly the result of a more advanced and 
comprehensive treatment protocol. We also question whether growth in 
CAS volume, a multitude of commercially available FDA-approved carotid 
stents, changes in standard of care, and trends in the prevalence of 
diabetes and hypertension in the U.S. population during the last two 
decades were considered in the interpretation of the findings of the 
two PERFORMANCE trials.
---------------------------------------------------------------------------

    \141\ Yadav (2004), op. cit.
    \142\ Yadav (2004), op. cit.
    \143\ UpToDate. (2024). Overview of carotid artery stenting. 
UpToDate. Retrieved from https://www.uptodate.com/contents/overview-
of-carotid-artery-stenting/
print?search=carotid%20artery%20stenting&source=search_result&selecte
dTitle=1~3.
---------------------------------------------------------------------------

    We are also concerned about the use of historical controls, given 
the differences among the trials, and question how these differences 
were taken into account in the development of the performance goal and 
in the comparison with the Neuroguard IEP[supreg] System on improving 
clinical outcomes. First, those trials differed in study design 
(SECURITY: non-randomized; BEACH, SCAFFOLD: single-arm; SAPPHIRE: RCT; 
CREST: RCT permuted block design) and length of follow-up (SECURITY, 
BEACH, ARCHER: 365 days; other: 3 years). Because these trials were not 
uniform in study design, we question whether results from these trials 
are comparable to each other. We further question whether the 
applicable technologies can be compared based on the outcomes achieved 
across these trials without considering differences between the 
clinical trials with respect to whether randomization and/or blinding 
were used in the study protocols, how patients were recruited and 
enrolled, patients' baseline clinical attributes, or length of follow 
up.\144\ We also note that these trials defined some of their endpoints 
differently. For example, the SECURITY and SCAFFOLD trials measured 12-
month outcomes, while the SAPPHIRE and ARCHER trials examined 31- to 
365-day outcomes. While most of these trials assessed non-fatal 
myocardial infection (MI) and all-cause deaths, the BEACH trial 
reported Q-wave MI and neurologic deaths. Furthermore, we note that 
different inclusion criteria for asymptomatic patients were used, with 
the SAPPHIRE, SECURITY, BEACH, and SCAFFOLD trials including 
asymptomatic patients with >=80 percent stenosis, and the CREST trial 
>=70 percent stenosis. Regarding heterogeneity in the baseline clinical 
attributes of the patient samples, we note that the SECURITY, ARCHER, 
and BEACH trials included patients at least 80 years of age, while 
other trials did not. We further note that differences in the study 
population comorbidities and lesion characteristics may impact 
outcomes. In particular, the PERFORMANCE II trial had a higher 
proportion of diabetic patients (43 percent) than the SAPPHIRE (25 
percent), CREST (31 percent), SECURITY (31 percent), and SCAFFOLD (40 
percent) trials. Its proportion of patients with hypertension (93 
percent) was higher than that of other trials (ARCHER: 84 percent; 
CREST: 86 percent; SAPPHIRE: 86 percent: BEACH: 89 percent). Its 
proportion of symptomatic patients (20 percent) was higher than that of 
the SCAFFOLD trial (13 percent), and lower than that of the ARCHER 
trial (24 percent). We are concerned that without adjusting for these 
differences across the trials, their results may not be comparable. We 
also question whether the lack of adjustment could have impacted 
accuracy of the performance goal which was based on the results of 
these trials. We welcome information about how these differences were 
accounted for in the development of the performance goal. We also 
welcome comments on how to consider the use of historical controls to 
compare the Neuroguard IEP[supreg] System's effects on clinical outcome 
improvement. Moreover, we are interested in information about the 
weighted objective performance criteria approach. Per the applicant, 
this approach adjusted for comorbid and anatomic

[[Page 18138]]

high-risk factors and was calculated based on data from the ARCHER, 
SECURITY, BEACH, and SCAFFOLD trials. We also welcome information about 
how the comparative studies were selected.
---------------------------------------------------------------------------

    \144\ Collignon O, Schritz A, Spezia R, et al. Implementing 
historical controls in oncology trials. The Oncologist 2021 
(26):e858-e862.
---------------------------------------------------------------------------

    We also question whether the observed differences in clinical 
outcomes between the Neuroguard IEP[supreg] System and the performance 
goal based on the historical comparator trials are statistically 
significant and clinically meaningful. For example, the applicant 
stated that the Neuroguard IEP[supreg] System demonstrated the result 
of zero percent for both 30-day and 12-month stroke rates in the 
PERFORMANCE I study, and 1.3 percent for the 30-day and 1.8 percent 12-
month stroke rates in the PERFORMANCE II study. The applicant further 
stated that these rates were significantly lower than published 
clinical trials with similar symptomatic and asymptomatic patient 
populations, ARCHER (6.9 percent), BEACH (4.5 percent), SCAFFOLD (1.0 
percent) SAPPHIRE (4.8 percent), and CREST (4.1 percent). We note that 
the SCAFFOLD trial reported a 30-day stroke rate of 1.1 percent for the 
primary analysis population, compared to the 1.3 percent rate in the 
PERFORMANCE II study. We welcome information about whether these 
differences were statistically significant and clinically meaningful, 
and how statistical significance was determined. We also welcome 
information about the weighted Z-test for the primary endpoint and how 
it may fully account for variability in patient comorbidities or 
procedural differences and enhance generalizability.
    We are inviting public comments on whether the Neuroguard 
IEP[supreg] System meets the substantial clinical improvement 
criterion.
k. RYSTIGGO[supreg] (Rozanolixizumab-Noli)
    UCB, Inc. submitted an application for new technology add-on 
payments for RYSTIGGO[supreg] for FY 2026. According to the applicant, 
RYSTIGGO[supreg] is a neonatal Fc receptor (FcRn) blocker indicated for 
the treatment of generalized myasthenia gravis (gMG) in adult patients 
who are anti-acetylcholine receptor (AChR) or anti-muscle-specific 
tyrosine kinase (MuSK) antibody positive (ab+). The applicant stated 
that gMG is a rare chronic autoimmune disorder in which antibodies 
destroy the communication between nerves and muscle, resulting in 
weakness of the skeletal muscles, particularly the eyes, mouth, throat, 
and limbs. Per the applicant, some gMG patients have MuSK ab+, a 
subtype of gMG that may lead to more severe symptoms and limited 
treatment options.
    Please refer to the online application posting for 
RYSTIGGO[supreg], available at https://mearis.cms.gov/public/publications/ntap/NTP2410073H0PQ, for additional detail describing the 
technology and the disease treated by the technology.
    With respect to the newness criterion, according to the applicant, 
RYSTIGGO[supreg] was granted BLA approval from FDA on June 26, 2023, 
for the treatment of gMG in adult patients who are AChR ab+ or MuSK 
ab+. According to the applicant, RYSTIGGO[supreg] was not available for 
sale until July 20, 2023, the date on which the product was released 
from U.S. Customs after being shipped from an overseas manufacturing 
facility. Per the applicant, RYSTIGGO[supreg] is administered as a 
subcutaneous infusion once each week for 6 weeks. Per the applicant, 
RYSTIGGO[supreg] is available in single-dose vials that contain 280 mg, 
420 mg, 560 mg, or 840 mg of RYSTIGGO[supreg] at a concentration of 140 
mg/mL. The applicant noted it used the following equation to calculate 
the weighted average cost per inpatient stay: [(percent of patients 
whose weight aligns to the 3mL vial x cost of the 3mL vial) + (percent 
of patients whose weight aligns to the 4mL vial x cost of the 4mL vial) 
+ (percent of patients whose weight aligns to the 6mL vial x cost of 
the 6mL vial/100%] x 2 doses. The applicant stated that the typical 
inpatient stay for patients with gMG is 11 to 13 days, and thus, 2 
doses would usually be administered during a typical inpatient stay.
    According to the applicant, there are currently no ICD-10-PCS 
procedure codes to distinctly identify RYSTIGGO[supreg]. We note that 
the applicant submitted a request for approval for a unique ICD-10-PCS 
procedure code for RYSTIGGO[supreg] beginning in FY 2026. The applicant 
stated that G70.00 (Myasthenia gravis without (acute) exacerbation) and 
G70.01 (Myasthenia gravis with (acute) exacerbation) may be used to 
currently identify the indication for RYSTIGGO[supreg] under the ICD-
10-CM coding system.
    As previously discussed, if a technology meets all three of the 
substantial similarity criteria under the newness criterion, it would 
be considered substantially similar to an existing technology and would 
not be considered ``new'' for the purpose of new technology add-on 
payments.
    With respect to the substantial similarity criteria, the applicant 
asserted that RYSTIGGO[supreg] is not substantially similar to other 
currently available technologies because, while other treatments are 
available for gMG, about 40 percent of patients continue to experience 
exacerbations, and that RYSTIGGO[supreg] is the only treatment for 
patients with gMG who are AChR or MuSK ab+, and that therefore, the 
technology meets the newness criterion. The following table summarizes 
the applicant's assertions regarding the substantial similarity 
criteria. Please see the online application posting for 
RYSTIGGO[supreg] for the applicant's complete statements in support of 
its assertion that RYSTIGGO[supreg] is not substantially similar to 
other currently available technologies.

--------------------------------------------------------------------------------------------------------------------------------------------------------
              Substantial similarity criteria                  Applicant response               Applicant assertions regarding this criterion
--------------------------------------------------------------------------------------------------------------------------------------------------------
Does the technology use the same or similar mechanism of    No.....................  RYSTIGGO[supreg] is a subcutaneously infused monoclonal antibody
 action to achieve a therapeutic outcome?                                             (mAb) that specifically targets FcRn with high affinity,
                                                                                      permitting the accelerated removal of all subclasses of
                                                                                      immunoglobulin G (IgG). There are specific differences in FcRn
                                                                                      affinities between RYSTIGGO[supreg] and other FcRn inhibitors.
                                                                                      RYSTIGGO[supreg] is the only FcRn inhibitor that is FDA-approved
                                                                                      for MuSK ab+ gMG in adults.
Is the technology assigned to the same MS-DRG as existing   Yes....................  The administration of RYSTIGGO[supreg] to treat gMG is not expected
 technologies?                                                                        to change the MS-DRG assignment of the discharge.
Does new use of the technology involve the treatment of     No.....................  While other treatments are available for gMG, about 40% of patients
 the same/similar type of disease and the same/similar                                continue to experience gMG exacerbation, suggesting an inadequate
 patient population when compared to an existing                                      response to existing treatment. RYSTIGGO[supreg] is the only FDA-
 technology?                                                                          approved treatment for patients with gMG that are MuSK ab+.
--------------------------------------------------------------------------------------------------------------------------------------------------------


[[Page 18139]]

    With respect to the substantial similarity criteria, while the 
applicant stated that RYSTIGGO[supreg] does not use the same or a 
similar mechanism of action as compared to existing technologies 
because there are specific differences in FcRn affinities between 
RYSTIGGO[supreg] and other FcRn inhibitors, we are unclear as to what 
the specific differences are and whether they rise to the level of a 
new mechanism of action. We note that VYVGART[supreg] is also an FcRn 
inhibitor approved for use in patients with gMG, and per FDA 
prescribing information, both technologies bind to the FcRn resulting 
in the reduction of circulating IgG.145 146 We welcome 
additional information about how the mechanism of action for 
RYSTIGGO[supreg] differs from other existing FDA-approved therapies, 
including FcRn inhibitors such as VYVGART[supreg]. We note that the 
applicant also stated that RYSTIGGO[supreg] does not involve the 
treatment of the same or similar type of disease and the same or 
similar patient population when compared to an existing technology 
because while there are other treatments for gMG, about 40 percent of 
patients continue to experience gMG exacerbation, suggesting an 
inadequate response to existing treatment and RYSTIGGO[supreg] is the 
only FDA-approved treatment for patients with gMG that are MuSK ab+. 
However, we note there are other standard of care treatment options for 
patients with AChR ab+ and MuSK ab+ gMG, such as pyridostigmine, 
glucocorticoid therapy, and plasmapheresis. In addition, 
VYVGART[supreg], ULTOMIRIS[supreg], ZILBRYSQ[supreg], and 
SOLIRIS[supreg] are also treatment options for patients with AChR ab+ 
gMG. Therefore, we question the assertion that RYSTIGGO[supreg] does 
not involve the treatment of the same or similar type of disease and 
the same or similar patient population when compared to existing 
technology.
---------------------------------------------------------------------------

    \145\ argenx U.S., Inc. VYVGART[supreg] (efgartigimod alfa-fcab) 
injection [Package Insert]. (Revised 8/2024). Available at: https://www.accessdata.fda.gov/drugsatfda_docs/label/2024/761195s004,761304s003lbl.pdf.
    \146\ UCB, Inc. RYSTIGGO[supreg] (rozanolixizumab-noli) 
injection, for subcutaneous use [Package Insert]. (Revised 6/2024). 
Available at: https://www.accessdata.fda.gov/spl/data/c6e71126-50c1-4ae2-9d82-b053d605b9cb/c6e71126-50c1-4ae2-9d82-b053d605b9cb.xml.
---------------------------------------------------------------------------

    We are inviting public comments on whether RYSTIGGO[supreg] is 
substantially similar to existing technologies and whether 
RYSTIGGO[supreg] meets the newness criterion.
    With respect to the cost criterion, the applicant provided an 
analysis to demonstrate that RYSTIGGO[supreg] meets the cost criterion. 
The analysis followed the order of operations summarized in the 
following table.

                                         RYSTIGGO[supreg] Cost Analysis
----------------------------------------------------------------------------------------------------------------
 
----------------------------------------------------------------------------------------------------------------
Inclusion/exclusion criteria...........  For the Inclusion/Exclusion criteria used in the Cost Analysis,
                                          including the data source and lists of ICD-10-CM codes and MS-DRGs
                                          used by the applicant, see the cost criterion codes and MS-DRGs
                                          attachment included in the online posting for RYSTIGGO[supreg].
Claims identified......................  22,213 claims mapping to 641 MS-DRGs, with none exceeding more than
                                          8.28% of the total identified cases.
Charges removed for prior technology...  Per the applicant, use of the technology may replace current drug
                                          charges for therapies. The applicant removed 100% of drug charges from
                                          the identified cases, which, as the applicant stated, is likely an
                                          overestimation of charges that would be replaced by RYSTIGGO[supreg]
                                          since patients may receive some ancillary drug treatments with
                                          RYSTIGGO[supreg]. The applicant did not remove indirect charges
                                          related to the new technology.
Standardized charges...................  The applicant used the standardization formula provided in Appendix A
                                          of the application. The applicant used all relevant values reported in
                                          the impact file posted with the FY 2025 IPPS/LTCH PPS interim final
                                          action with comment period.
Inflation factor.......................  The applicant applied an inflation factor of 12.87% to the standardized
                                          charges, based on the inflation factor used to calculate outlier
                                          threshold charges in the FY 2025 IPPS/LTCH PPS final rule.
Charges added for the new technology...  The applicant added charges for the new technology by dividing the cost
                                          of the new technology by the national average cost-to-charge ratio of
                                          0.178 for Drugs and Cellular Therapies from the FY 2025 IPPS/LTCH PPS
                                          final rule. The applicant did not add indirect charges related to the
                                          new technology.
Cost analysis results..................  Average case-weighted threshold amount: $80,760.
                                         Final inflated average case-weighted standardized charge per case:
                                          $236,731.
----------------------------------------------------------------------------------------------------------------

    Because the final inflated average case-weighted standardized 
charge per case exceeded the average case-weighted threshold amount, 
the applicant asserted that RYSTIGGO[supreg] meets the cost criterion.
    We are inviting public comments on whether RYSTIGGO[supreg] meets 
the cost criterion.
    With regard to the substantial clinical improvement criterion, the 
applicant asserted that RYSTIGGO[supreg] represents a substantial 
clinical improvement over existing technologies because 
RYSTIGGO[supreg] is the only FDA-approved product for anti-MuSK ab+ gMG 
in adult patients, and is an option for patients unresponsive to, and 
not treated by, conventional therapies. The applicant also asserted 
that RYSTIGGO[supreg] significantly improves clinical outcomes relative 
to services or technologies previously available. The applicant 
provided seven articles regarding the MycarinG study and its open-label 
extension studies, as well as a meta-analysis regarding efficacy of 
newer therapies for MG, to support these claims. The following table 
summarizes the applicant's assertions regarding the substantial 
clinical improvement criterion. Please see the online posting for 
RYSTIGGO[supreg] for the applicant's complete statements regarding the 
substantial clinical improvement criterion and the supporting evidence 
provided.

[[Page 18140]]



----------------------------------------------------------------------------------------------------------------
    Applicant statements in support                   Supporting evidence provided by the applicant
----------------------------------------------------------------------------------------------------------------
Substantial Clinical Improvement Assertion #1: The technology offers a treatment option for a patient population
                       unresponsive to, or ineligible for, currently available treatments
----------------------------------------------------------------------------------------------------------------
RYSTIGGO[supreg] is the only FDA-        Habib AA, Sacconi S, Antonini G, et al. Efficacy and safety of
 approved therapy for gMG in adult        rozanolixizumab in patients with muscle-specific tyrosine kinase
 patients who are MuSK ab+.               antibody-positive generalised myasthenia gravis: a subgroup analysis
                                          of the randomised, double-blind, placebo-controlled, adaptive phase
                                          III MycarinG study. Ther Adv Neurol Disord. 2024a;17:1-16.
                                         Bril V, Druzdz A, Grosskreutz J, et al. Safety and efficacy of
                                          rozanolixizumab in patients with generalised myasthenia gravis
                                          (MycarinG): a randomised, double-blind, placebo-controlled, adaptive
                                          phase 3 study. Lancet Neurol. 2023a;22(5):383-394.
                                         Habib AA, Sacconi S, Pascuzzi RM, et al. Repeated cycles of
                                          rozanolixizumab treatment in patients with muscle-specific kinase
                                          antibody-positive generalized myasthenia gravis [Poster 203]. AANEM
                                          2023.
RYSTIGGO[supreg] provides a treatment    Bril, 2023a, op. cit.
 option for adult patients with          Vu T, Druzdz A, Habib AA, et al. Efficacy of rozanolixizumab in
 generalized myasthenia gravis (gMG)      generalized myasthenia gravis: subgroup analyses from the randomized
 whose disease is not responsive to,      phase 3 MycarinG study [Abstract 002951], AAN 2023.
 and not treated by, conventional
 therapies.
----------------------------------------------------------------------------------------------------------------
 Substantial Clinical Improvement Assertion #2: The technology significantly improves clinical outcomes relative
                                to services or technologies previously available
----------------------------------------------------------------------------------------------------------------
RYSTIGGO[supreg] offers further          Bril V, Druzdz A, Grosskreutz J, et al. Long-term efficacy and safety
 clinical improvement in addition to      of symptom-driven cyclical rozanolixizumab treatment in patients with
 standard of care (SOC) therapies for     generalized myasthenia gravis: A pooled analysis of a Phase 3 study
 adult patients with gMG.                 and two open-label extension studies [P1-5.012]. Neurology.
                                          2023b;100(17_supplement_2):3747.
                                         Sacconi S, Habib AA, Antonini G, et al. Rozanolixizumab in muscle-
                                          specific kinase autoantibody-positive myasthenia gravis: Further
                                          analyses from MycarinG study [Poster EPO-391]. EAN 2023.
                                         Sacc[agrave] F, Pane C, Espinosa PE, Sormani MP, Signori A. Efficacy of
                                          innovative therapies in myasthenia gravis: A systematic review, meta-
                                          analysis and network meta-analysis. Eur J Neurol. 2023;30:3854-3867.
                                         Habib AA, Kaminski HJ, Grosskreutz J, et al. Clinically meaningful
                                          improvement in physical fatigue and muscle weakness fatigability with
                                          rozanolixizumab: Post hoc analysis of MG Symptoms PRO responder rates
                                          in the MycarinG study [Poster P4-11-001]. AAN 2024b.
----------------------------------------------------------------------------------------------------------------

    We also received written public comments in response to the New 
Technology Town Hall meeting notice published in the Federal Register 
regarding the substantial clinical improvement criterion for 
RYSTIGGO[supreg].
    Comment: The applicant submitted a comment in response to questions 
raised at the Town Hall. Regarding a question on the differences in the 
sample sizes reported within the Bril et al. (2023a) study versus the 
FDA \147\ integrated review, the applicant restated the patient 
population included in the MycarinG study, as described in Bril et al. 
(2023a) and Habib et al. (2024a). Per the applicant, the information 
from the MycarinG study aligns with the product label.\148\ The 
applicant further noted that the number of study participants may vary 
based on the analysis conducted (intent to treat, data availability, 
study completion, etc.). The applicant emphasized that gMG is a rare 
disease, with the MuSK ab+ patient population being even rarer. 
According to the applicant, the number of patients in the MycarinG 
study is consistent with other rare disease treatment clinical trials 
and was acceptable to FDA.
---------------------------------------------------------------------------

    \147\ U.S. Food and Drug Administration, Center for Drug 
Evaluation and Research (2023). Integrated Review of BLA 761286 
(RYSTIGGO[supreg]). U.S. Department of Health and Human Services. 
https://www.accessdata.fda.gov/drugsatfda_docs/nda/2023/761286Orig1s000IntegratedR.pdf.
    \148\ UCB, Inc., 2024, op. cit.
---------------------------------------------------------------------------

    Regarding a question asking about why the applicant used a post hoc 
97.5 percent CI instead of a 95 percent CI for statistical significance 
in the MycarinG study, how such significance was found in the MuSK ab+ 
subgroup analysis when there were only 16 MuSK ab+ patients in the 
MycarinG study (discussed further later in this section), and how 
significance was only found in those treated in the 7mg/kg dose but not 
the 10mg/kg dose in the MG-ADL and not for either dose in the 
quantitative myasthenia gravis score (QMG) assessment, the applicant 
stated that the parallel gatekeeping approach was used for the primary 
and secondary endpoints. The applicant stated that this was a means of 
adjusting for multiple testing across the 2 dose arms and across the 
different endpoints, while maintaining an overall type 1 error rate of 
5 percent. According to the applicant, in the primary endpoint, each 
dose arm was tested against placebo at two and a half percent. The 
applicant commented that the MuSK ab+ subgroup analysis was part of the 
planned efficacy analysis and that the results were clinically 
significant in having over a two-point reduction in MG-ADL, but noted 
that these results were not subject to planned statistical testing.
    The applicant also responded to a question on the validity of the 
MG-ADL and QMG used in the MycarinG study, including why the MG-ADL was 
used as the primary endpoint. The applicant stated that objective 
assessments were the primary endpoint for clinical trials related to 
gMG prior to 2017. The applicant stated that the REGAIN trial (Howard 
et al., 2017),\149\ evaluating eculizumab, was published in 2017 and 
was the first trial to introduce MG-ADL as a primary endpoint. 
According to the applicant, the current FDA standard evolved following 
the REGAIN trial, and, consistent with FDA direction to manufacturers, 
most ongoing phase 3 trials now rely on the MG-ADL as a primary 
endpoint, emphasizing patient-reported outcome measures which may be 
more sensitive to clinical change than QMG. The applicant further noted 
that currently available MG-specific outcome measures include 
objective,

[[Page 18141]]

patient-reported, and composite measures. Per the applicant, in the 
MycarinG study, patient-reported and objective measures were used as 
either primary or secondary endpoints. The applicant stated that 
several studies have been conducted to assess validity and correlation 
of different MG endpoints, and that expert consensus has recommended 
the use of standardized assessments such as MG-ADL or QMG scores in 
assessment of patients with gMG. The applicant included several 
articles on validation, correlation, and consensus on addressing 
variability in MG clinical trials.150 151 152 153 The 
applicant stated that it appreciates that CMS is not bound by FDA 
determinations, but asserted that it is practically impossible, 
particularly in rare disease trials, to use different assessment 
measures when government agencies suggest conflicting measurements.
---------------------------------------------------------------------------

    \149\ Howard, J.F., Jr, Freimer, M., O'Brien, F., Wang, J.J., 
Collins, S.R., Kissel, J.T. and (2017), QMG and MG-ADL correlations: 
Study of eculizumab treatment of myasthenia gravis. Muscle Nerve, 
56: 328-330. https://doi.org/10.1002/mus.25529.
    \150\ Howard, 2017, op. cit.
    \151\ McPherson, T., Aban, I., Duda, P.W., Farzaneh-Far, R., 
Wolfe, G.I., Kaminski, H.J., Cutter, G., Lee, I., & of the MGTX 
Study Group (2020). Correlation of Quantitative Myasthenia Gravis 
and Myasthenia Gravis Activities of Daily Living scales in the MGTX 
study. Muscle & Nerve, 62(2), 261-266. https://doi.org/10.1002/mus.26910.
    \152\ Meisel, A., Sacc[agrave], F., Spillane, J., Vissing, J., & 
MG Collegium Sub-committee. (2024). Expert consensus recommendations 
for improving and standardising the assessment of patients with 
generalised myasthenia gravis. European Journal of Neurology, 31(7), 
e16280. https://doi.org/10.1111/ene.16280.
    \153\ Thomsen j.L.S, Andersen H. (2020). Outcome measures in 
clinical trials of patients with myasthenia gravis. Front Neurol. 
11, 596382. https://doi.org/10.3389/fneur.2020.596382.
---------------------------------------------------------------------------

    Finally, in response to a question asking how RYSTIGGO[supreg] 
compares with existing standard of care therapies and specifically 
newer agents, the applicant stated that RYSTIGGO[supreg] was not 
compared against a treatment-na[iuml]ve placebo group for ethical 
reasons. Per the applicant, in the MycarinG trial, patients in the 
placebo and treatment groups were allowed to remain on their standard 
of care therapies, such as non-steroidal immunosuppressive therapy 
(methothrexate, cyclosporine, azathioprine, tacrolimus), steroids, and 
pyridostigmine, such that they were randomized to either the 
RZL+standard-of-care group or the placebo+standard-of-care group. The 
applicant stated that the MycarinG study therefore looked at the 
benefits of RYSTIGGO[supreg] beyond standard of care therapies. 
According to the applicant, for the reasons previously explained, there 
is no head-to-head comparison against other biologics or newer 
therapies available in treatment-na[iuml]ve patients. The applicant 
noted that currently available therapies also do not have an FDA 
indication for MuSK ab+ gMG.
    We also received a few comments expressing general support for new 
technology add-on payments for RYSTIGGO[supreg] stating that 
RYSTIGGO[supreg] offers a new and significant clinical improvement in 
care for gMG patients who are MuSK ab+.
    Response: We thank the applicant and commenters for their comments.
    After review of the information provided by the applicant and the 
public comments received in response to the New Technology Town Hall 
meeting, we have the following concerns regarding whether 
RYSTIGGO[supreg] meets the substantial clinical improvement criterion. 
While the applicant stated that RYSTIGGO[supreg] is the only FDA-
approved therapy for gMG in adult patients who are MuSK ab+, and that 
this subtype is challenging to treat, as patients are usually 
unresponsive and often intolerant of pyridostigmine (a standard first-
line MG therapy), we note that the applicant also stated that 3,4-
diaminopyridine treatments may have mild to moderate effect. We further 
note that, as mentioned previously, other therapies such as 
pyridostigmine, glucocorticoid therapy, and plasmapheresis are also 
available options for these patients, and we therefore question that 
RYSTIGGO[supreg] offers a treatment option for patients with MuSK ab+ 
gMG who have no other treatment options. The applicant also stated that 
RYSTIGGO[supreg] provides a treatment option for the approximately 10 
to 20 percent of patients with gMG whose disease is not responsive to, 
and not treated by, conventional therapies due to inadequate response 
or intolerable side effects, however, we question whether the evidence 
provided demonstrates that there is a population of patients with gMG 
with no other treatment options. To support this claim, the applicant 
provided the double-blind, placebo-controlled, phase 3 MycarinG study, 
which randomized 200 patients (1:1:1) to receive RYSTIGGO[supreg] 7 mg/
kg, RYSTIGGO[supreg] 10 mg/kg, or placebo in addition to their current 
gMG treatment (where permitted by the study inclusion criteria) for 6 
weeks, as well as an abstract of a post hoc subgroup analysis of this 
study (Vu et al., 2023) which stratified trial results based on the 
number of prior therapies.\154\ The applicant stated that the MycarinG 
study demonstrated RYSTIGGO[supreg], in addition to standard of care, 
significantly improved clinical outcomes by reducing MG-ADL, QMG, and 
MG Composite (MGC) scores in adult patients with gMG, including those 
with prior standard of care treatments such as corticosteroids, 
parasympathomimetics, and non-steroidal immunosuppressants. We note 
that permitted concomitant medications were cholinesterase inhibitors, 
oral corticosteroids, azathioprine, ciclosporin, methotrexate, 
mycophenolate mofetil, and tacrolimus. All of these medications, except 
for cholinesterase inhibitors, required a stable dose. We question if 
the cholinesterase inhibitor dose may have affected the results of the 
study since the dose may not have been stable throughout the trial. In 
addition, other standard of care treatment options for patients were 
excluded, including rituximab products, VYVGART[supreg], 
ULTOMIRIS[supreg], ZILBRYSQ[supreg], and SOLIRIS[supreg], and we 
therefore question if RYSTIGGO[supreg] is the only treatment option for 
patients with gMG who have failed conventional therapy.
---------------------------------------------------------------------------

    \154\ Bril, 2023a, op. cit.
---------------------------------------------------------------------------

    The applicant also provided an abstract of a subgroup analysis (Vu 
et al., 2023) of the MycarinG study and stated the subgroup analysis 
demonstrated that RYSTIGGO[supreg] significantly improved outcomes 
based on a reduction in MG-ADL in patients who had previously undergone 
myasthenia gravis standard treatments based on stratification on number 
of prior therapies, excluding acetylcholinesterase inhibitors, but 
including corticosteroids, non-steroidal immunosuppressants, IVIg, and 
plasma exchange. However, it is unclear how a subgroup analysis on the 
number of prior therapies provides evidence that RYSTIGGO[supreg] is 
the only treatment option for patients unresponsive to conventional 
therapies. We also note that acetylcholinesterase inhibitors were 
excluded from this subgroup analysis, but these are part of the 
standard of care for MG.
    With respect to the applicant's assertion that RYSTIGGO[supreg] 
improves clinical outcomes over existing therapies, the applicant 
submitted three presentation posters (Bril et al., 2023b; Sacconi et 
al., 2023; Habib et al., 2024b) that provided efficacy and safety 
results from the MycarinG study and 2 open-label extension studies 
(MG0004 and MG007) which we note are not published or peer-reviewed. We 
note that two of the poster presentations (Bril et al., 2023b and Habib 
et al., 2024b) do not report the statistical significance of results 
and, therefore, we are uncertain as to how significant the results are. 
With regards to the MycarinG study, per the applicant's Town Hall 
comment, patients were allowed to remain on standard of care therapies 
such as non-

[[Page 18142]]

steroidal immunosuppressive therapy, steroids, and pyridostigmine. 
However, we note that various other standard of care therapies were 
excluded such as rituximab products, VYVGART[supreg], 
ULTOMIRIS[supreg], ZILBRYSQ[supreg], and SOLIRIS[supreg]. Without a 
comparison to these therapies, we question whether RYSTIGGO[supreg] 
improves clinical outcomes relative to all previously available 
therapies. Given the 6-week duration of the trial, we also question how 
natural changes in symptoms were accounted for since symptoms can wax 
and wane in patients with gMG. We further note that the MycarinG and 
the open-label extension studies involved only 8 weeks (MycarinG and 
MG0004) or 16 weeks (MG0007) of observation, which makes it more 
difficult to assess the frequency of prolonged remission rates and how 
the adverse event rates, such as for cancer and infection, compare with 
existing therapies. We are also interested in more information on the 
lack of a dose-response effect with RYSTIGGO[supreg]. For instance, 
there was a least squares mean (LSM) in MG-ADL of -7.28 in the 
rozanolixizumab (RLZ) 7 mg/kg group and -4.16 in the RLZ 10 mg/kg group 
within the MuSK ab+ population and an LSM of -3.03 in the RLZ 7 mg/kg 
group and a similar LSM of -3.36 in the RLZ 10 mg/kg group within the 
AChR ab+ population. We also note there is only about a 2 to 2.5-point 
difference between RYSTIGGO[supreg] and placebo for MG-ADL in the AChR 
ab+ subpopulation and the overall population. Specifically, for the 
AChR ab+ population, the LSM difference versus placebo in the RLZ 7 mg/
kg group was -1.94 and in the RLZ 10 mg/kg group was -2.26 and for the 
overall population, the LSM difference versus placebo was -2.59 in the 
RLZ 7 mg/kg group and -2.62 in the RLZ 10 mg/kg group. The applicant 
stated that these findings were statistically significant. We note that 
the study considered a 2-point difference in MG-ADL as a clinically 
meaningful improvement. We would appreciate clarification on how the 
study defined clinically meaningful improvement.
    In addition, with respect to the MuSK ab+ population in the 
MycarinG trial, we note there were 21 MuSK ab+ patients in the studies 
submitted by the applicant. We further note that the FDA Integrated 
Review for RYSTIGGO[supreg] indicated that 16 patients tested positive 
for the MuSK ab+ and we would appreciate clarification regarding this 
discrepancy in numbers. We note in its Town Hall comment that the 
applicant emphasized that gMG, particularly MuSK positive gMG, is a 
rare disease and the number of patients in the study is consistent with 
other rare disease treatment clinical trials and was acceptable to the 
FDA. However, we question if the results are generalizable to the 
Medicare population since only 2 patients treated with RYSTIGGO were 
from the U.S. and only 1 patient treated was 65 years or older.\155\ We 
also note that not all efficacy outcomes were statistically significant 
within the MuSK ab+ population. Specifically, the LSM difference in QMG 
between RYSTIGGO[supreg] and placebo was not statistically significant 
for either the RLZ 7 mg/kg group (97.5 percent confidence interval -
14.24, 0.41) nor the RLZ 10 mg/kg group (97.5 percent confidence 
interval -9.73, 3.45). Further, we note there appears to be a 
difference in the disease severity between the MuSK ab+ patients in the 
placebo and treatment arms. For example, results from Habib et al. 
(2024a) indicated that among the MuSK ab+ population of the MycarinG 
study, all patients with severe (Class IV) disease at baseline per the 
Myasthenia Gravis Foundation of America (MGFA) classification system 
were in the placebo arm (\3/8\), while individuals in the treatment 
groups all had mild or moderate (Class II or Class III) disease at 
baseline. We question how this difference may have impacted the placebo 
group's outcomes relative to the those of the treatment groups. 
Additionally, a higher percentage of patients were taking 
corticosteroids in the RYSTIGGO[supreg] groups (80 percent in 7 mg/kg 
group and 87.5 percent in 10 mg/kg group) compared to placebo (62.5 
percent) and we question if this difference in background therapy could 
have affected the outcomes since oral corticosteroids were a permitted 
concomitant medication in the trial. We also note that the trial 
excluded individuals with severe oropharyngeal or respiratory weakness, 
and we question whether this exclusion would affect the 
generalizability of the results for this MuSK ab+ subpopulation, as the 
applicant indicated that patients with MuSK ab+ gMG tend to have more 
severe disease with a potential unmet need for treatment options.
---------------------------------------------------------------------------

    \155\ U.S. FDA CDER, 2023, op. cit.
---------------------------------------------------------------------------

    The applicant also provided a meta-analysis comparing innovative 
therapies in MG, stating that it demonstrated that anti-FcRn treatments 
such as RYSTIGGO[supreg] showed greater effects on QMG, MGC, and MG-
QoL15 compared to complement inhibitors, with VYVGART[supreg] and 
RYSTIGGO[supreg] having the highest probabilities of being the most 
effective treatment for MG-ADL and QMG. However, we note that the same 
article indicated no significant difference in MG-ADL between 
complement inhibitors and anti-FcRn treatments. Additionally, we note 
that the analysis found that VYVGART[supreg] had the highest 
probability of being the best treatment, followed by 
RYSTIGGO[supreg].\156\ We note that we did not receive any other 
evidence comparing complement inhibitors or anti-FcRn treatments with 
RYSTIGGO[supreg] to demonstrate improved outcomes. Therefore, we would 
appreciate additional information comparing RYSTIGGO[supreg] to these 
other therapies in order to inform our assessment of whether 
RYSTIGGO[supreg] demonstrates a substantial clinical improvement over 
existing technologies. In addition, we note that the meta-analysis 
included seven clinical trials, only two of which included patients 
positive for MuSK ab+, MycarinG and ADAPT, a trial studying 
VYVGART[supreg]. The meta-analysis did not include trials studying 
other standard of care therapies in patients with MuSK ab+ gMG. Since 
the meta-analysis did not include a comparison of current therapies in 
patients with MuSK ab+ gMG, we question how this analysis demonstrates 
RYSTIGGO[supreg] improves clinical outcomes relative to previously 
available therapy for patients with MuSK ab+ gMG.
---------------------------------------------------------------------------

    \156\ Sacc[agrave], 2023, op. cit.
---------------------------------------------------------------------------

    We also note that, while the applicant stated that RYSTIGGO[supreg] 
meets patient preferences for convenience by its ability to be 
administered via a subcutaneous infusion by a healthcare provider, 
either at an infusion clinic or at home with nurse assistance, the 
applicant does not provide a comparison of administration to other 
available therapies. We would further appreciate additional information 
on how the administration method for RYSTIGGO[supreg] demonstrates that 
the technology significantly improves one or more of the clinical 
outcomes described under the regulations at Sec.  412.87(b)(1)(ii)(C).
    We are inviting public comments on whether RYSTIGGO[supreg] meets 
the substantial clinical improvement criterion.
l. SYMVESSTM (Acellular Tissue Engineered Vessel-Tyod)
    Humacyte, Inc. submitted an application for new technology add-on 
payments for SYMVESSTM for FY 2026. According to the 
applicant, SYMVESSTM is a bioengineered, implantable blood 
vessel indicated for use in adults as a vascular conduit for extremity 
arterial injury when urgent

[[Page 18143]]

revascularization is needed to avoid imminent limb loss and when 
autologous vein grafting is not feasible. The applicant stated that 
SYMVESSTM is composed of organized extracellular matrix 
proteins in the tubular form of a blood vessel and is used to repair, 
bypass, or replace arteries that have sustained traumatic injuries.
    Please refer to the online application posting for 
SYMVESSTM, available at https://mearis.cms.gov/public/publications/ntap/NTP24100639G2M, for additional detail describing the 
technology and the disease treated by the technology.
    With respect to the newness criterion, according to the applicant, 
SYMVESSTM was granted BLA approval from FDA on December 19, 
2024, for use in adults as a vascular conduit for extremity arterial 
repair when urgent revascularization is needed to avoid imminent limb 
loss, and when autologous vein grafting is not feasible. The applicant 
stated that FDA required a lot release that shows results of all 
applicable tests prior to distribution of SYMVESSTM and that 
it submitted the required paperwork to FDA on December 26, 2024. The 
applicant stated that on February 26, 2025, FDA notified the applicant 
that the required review of commercial batch information was completed 
and authorized the applicant to commence commercial shipment; 
therefore, per the applicant, SYMVESSTM became commercially 
available as of February 26, 2025. Per the applicant, the average 
number of units of SYMVESSTM anticipated to be used per 
inpatient stay is 1 unit.
    The applicant stated that, effective October 1, 2024, the following 
ICD-10-PCS codes may be used to uniquely describe procedures involving 
the use of SYMVESSTM: X2R50WA (Replacement of right upper 
extremity artery using bioengineered human acellular vessel, open 
approach, new technology group 10), X2R60WA (Replacement of left upper 
extremity artery using bioengineered human acellular vessel, open 
approach, new technology group 10), X2R70WA (Replacement of right lower 
extremity artery using bioengineered human acellular vessel, open 
approach, new technology group 10), or X2R80WA (Replacement of left 
lower extremity artery using bioengineered human acellular vessel, open 
approach, new technology group 10).
    As previously discussed, if a technology meets all three of the 
substantial similarity criteria under the newness criterion, it would 
be considered substantially similar to an existing technology and would 
not be considered ``new'' for the purpose of new technology add-on 
payments.
    With respect to the substantial similarity criteria, the applicant 
asserted that SYMVESSTM is not substantially similar to 
other currently available technologies because it does not use the same 
or a similar mechanism of action compared to existing technologies, and 
that therefore, the technology meets the newness criterion. The 
following table summarizes the applicant's assertions regarding the 
substantial similarity criteria. Please see the online application 
posting for SYMVESSTM for the applicant's complete 
statements in support of its assertion that SYMVESSTM is not 
substantially similar to other currently available technologies.

--------------------------------------------------------------------------------------------------------------------------------------------------------
              Substantial similarity criteria                  Applicant response               Applicant assertions regarding this criterion
--------------------------------------------------------------------------------------------------------------------------------------------------------
Does the technology use the same or similar mechanism of    No.....................  SYMVESSTM uses a unique mechanism of action compared to existing
 action to achieve a therapeutic outcome?                                             guideline-recommended treatments for the anticipated indication.
                                                                                      SYMVESSTM is a bioengineered implantable vessel that is grown from
                                                                                      human cells and then decellularized. The resulting SYMVESSTM
                                                                                      consists of extracellular matrix proteins, in the form of a
                                                                                      tubular blood vessel, that stimulate patient cell recruitment
                                                                                      after implantation. Cellular repopulation and remodeling of the
                                                                                      SYMVESSTM result in a living, functional part of the vasculature.
                                                                                      The autologous vein grafts' mechanism of action involves
                                                                                      biological integration, promoting natural endothelial function,
                                                                                      reducing thrombosis risk, and adapting to the arterial environment
                                                                                      through arterialization. SYMVESSTM's mechanism of action offers
                                                                                      several advantages: (1) reduces time to revascularization with an
                                                                                      off-the-shelf option; (2) avoids vein harvesting complications;
                                                                                      (3) provides a consistent conduit size; and (4) regenerates into a
                                                                                      living blood vessel.
                                                                                      The synthetic grafts' mechanism of action provides immediate
                                                                                      revascularization but does not integrate into the host and is not
                                                                                      remodeled by patient cells. Synthetic grafts are made of non-
                                                                                      biodegradable polymers that often stimulate foreign body
                                                                                      responses, fibrosis, and thrombosis when implanted into patients.
                                                                                      Lacking native extracellular matrix proteins architecture,
                                                                                      synthetic grafts also interact poorly with the patient's immune
                                                                                      system, which raises the risk of graft infection in contaminated
                                                                                      wound beds. SYMVESSTM, which is comprised of human extracellular
                                                                                      matrix proteins, repopulates with cells, has a low infection rate,
                                                                                      and does not stimulate fibrosis nor a foreign body reaction. The
                                                                                      mechanism of action of ligation is to stop blood flow through the
                                                                                      injured artery but without revascularization, while amputation
                                                                                      functions by removing part or all the injured limb to prevent
                                                                                      further complications and save a patient's life. SYMVESSTM offers
                                                                                      an alternative by providing a vessel capable of restoring blood
                                                                                      flow, preserving limb functionality.
Is the technology assigned to the same MS-DRG as existing   Yes....................  The use of SYMVESSTM will likely be assigned to the same MS-DRGs
 technologies?                                                                        where existing technologies to treat significantly damaged
                                                                                      arteries due to traumatic injuries, are assigned.

[[Page 18144]]

 
Does new use of the technology involve the treatment of     Yes....................  SYMVESSTM is used to treat the same type of disease in a similar
 the same/similar type of disease and the same/similar                                patient population as existing technologies. Traumatic vascular
 patient population when compared to an existing                                      injury can be caused by motor vehicle accidents, industrial
 technology?                                                                          accidents, falls, gunshot wounds, knife wounds, etc. For all these
                                                                                      types of injuries to the extremities, if an autologous vein is
                                                                                      available for arterial repair, then such injuries are typically
                                                                                      repaired using a harvested vein from the patient. However,
                                                                                      regardless of the mechanism of injury, in some cases, an
                                                                                      autologous vein is not available, or its use is not feasible in a
                                                                                      given trauma situation. In some situations, there may not be
                                                                                      enough time to harvest the vein, or the trauma surgeon may not
                                                                                      have the necessary training to harvest a vein. Regardless of the
                                                                                      situation, the patient or the injury mechanism, SYMVESSTM is
                                                                                      anticipated to provide a new treatment option to patients where
                                                                                      revascularization using a harvested autologous vein is not
                                                                                      feasible. By addressing the needs of these specific patients,
                                                                                      SYMVESSTM expands the treatment options available for saving life
                                                                                      and limb following vascular trauma, ensuring better outcomes for a
                                                                                      broader patient population.
--------------------------------------------------------------------------------------------------------------------------------------------------------

    We have the following concerns with regard to the newness 
criterion. The applicant stated that SYMVESSTM has a novel 
mechanism of action based on its manufacturing, composition, and post-
operative regenerative properties. However, we are interested in more 
information about how the composition of SYMVESSTM is 
associated with its post-operative regenerative properties, and 
specifically how these regenerative properties are associated with its 
mechanism of action to achieve a therapeutic outcome, as well as how 
the association between SYMVESSTM's regenerative properties 
and mechanism of therapeutic action differs from that of autologous 
vein grafts. In addition, we question whether physiological changes, 
such as arterialization, cellular repopulation, and fibrosis, that 
occur after a conduit is implanted, should be considered part of the 
mechanism of action. We also note that the applicant stated that the 
mechanism of action of synthetic grafts is immediate revascularization, 
and we question whether that is not also the mechanism of action of 
SYMVESSTM and/or autologous vein grafts.
    We are inviting public comments on whether SYMVESSTM is 
substantially similar to existing technologies, including whether post-
implantation physiological changes should be considered as part of a 
technology's mechanism of action, and whether SYMVESSTM 
meets the newness criterion.
    With respect to the cost criterion, the applicant provided an 
analysis to demonstrate that SYMVESSTM meets the cost 
criterion. The analysis followed the order of operations summarized in 
the following table.

                                             SYMVESSTM Cost Analysis
----------------------------------------------------------------------------------------------------------------
 
----------------------------------------------------------------------------------------------------------------
Inclusion/exclusion criteria...........  For the Inclusion/Exclusion criteria used in the Cost Analysis,
                                          including the data source and lists of ICD-10-CM codes, ICD-10-PCS
                                          codes, and MS-DRGs used by the applicant, see the cost criterion codes
                                          and MS-DRGs attachment included in the online posting for SYMVESSTM.
Claims identified......................  1,540 claims mapping to 90 MS-DRGs, with 18.83% of claims mapping to MS-
                                          DRG 252 (Other Vascular Procedures with MCC).
Charges removed for prior technology...  Per the applicant, use of the technology would replace other
                                          implantable devices. The applicant removed 100% of charges for
                                          implantable devices from the identified cases, as to take a
                                          conservative approach in its cost analysis. The applicant did not
                                          remove any indirect charges related to the prior technology.
Standardized charges...................  The applicant used the standardization formula provided in Appendix A
                                          of the application. The applicant used all relevant values reported in
                                          the impact file posted with the FY 2025 IPPS/LTCH PPS interim final
                                          action with comment period.
Inflation factor.......................  The applicant applied an inflation factor of 12.87% to the standardized
                                          charges, based on the inflation factor used to calculate outlier
                                          threshold charges in the FY 2025 IPPS/LTCH PPS final rule.
Charges added for the new technology...  The applicant added charges for the new technology by dividing the cost
                                          of SYMVESSTM by the national average-cost-to-charge ratio of 0.259 for
                                          Implantable Devices from the FY 2025 IPPS/LTCH PPS final rule.
Cost analysis results..................  Average case-weighted threshold amount: $143,227.
                                         Final inflated average case-weighted standardized charge per case:
                                          $423,141.
----------------------------------------------------------------------------------------------------------------

    Because the final inflated average case-weighted standardized 
charge per case exceeded the average case-weighted threshold amount, 
the applicant asserted that SYMVESSTM meets the cost 
criterion.
    We are inviting public comments on whether SYMVESSTM 
meets the cost criterion.
    With regard to the substantial clinical improvement criterion, the 
applicant asserted that SYMVESSTM represents a substantial 
clinical improvement over existing technologies because 
SYMVESSTM is a new treatment option for patients with 
extremity vascular trauma where autologous vein grafts are infeasible, 
has improved secondary patency compared to synthetic grafts, and has 
lower amputation and infection rates. The applicant also stated that 
SYMVESSTM enables quicker perfusion of injured extremities 
compared to autologous grafts, reducing ischemia time and complication 
risks. The applicant provided 6 documents, including 2 studies and 2 
FDA-related documents, to support these claims, as well as 10 
background articles about extremity arterial trauma outcomes, trauma 
surgery clinical guidelines, and the impact of repair duration on 
extremity arterial injuries.\157\ The following table summarizes the 
applicant's assertions regarding the

[[Page 18145]]

substantial clinical improvement criterion. Please see the online 
posting for SYMVESSTM for the applicant's complete 
statements regarding the substantial clinical improvement criterion and 
the supporting evidence provided.
---------------------------------------------------------------------------

    \157\ Background articles are not included in the following 
table but can be accessed via the online posting for the technology.

----------------------------------------------------------------------------------------------------------------
      Applicant statements in support                   Supporting evidence provided by the applicant
----------------------------------------------------------------------------------------------------------------
Substantial Clinical Improvement Assertion #1: The technology offers a treatment option for a patient population
                       unresponsive to, or ineligible for, currently available treatments
----------------------------------------------------------------------------------------------------------------
SYMVESSTM is the first and only             Food and Drug Administration. U.S. Department of Health and Human
 bioengineered blood vessel approved for     Services. Grant of Regenerative Medicine Advanced Therapy
 extremity vascular trauma.                  Designation for Human Acellular Vessel (HAV). U.S. Department of
                                             Health and Human Services, Food and Drug Administration. Granted
                                             May 2, 2023.
                                            Humacyte Global, Inc. Section 2.5 Clinical Overview: Biologics
                                             License Application 125812 for Human Acellular Vessel (HAV)
                                             (Excerpt Clinical Data). Submitted December 2023.
                                            Moore EE, Curi M, Namias N, et al. Bioengineered Human Arteries for
                                             the Repair of Vascular Injuries. JAMA Surg. Published online
                                             November 20, 2024. doi:10.1001/jamasurg.2024.4893.
                                            The applicant also provided background information to support this
                                             claim, which can be accessed via the online posting for the
                                             technology.
SYMVESSTM is a new treatment option for     Humacyte Global, Inc, 2023, op. cit.
 patients with extremity vascular trauma,   Humacyte Global, Inc. ATEV Clinical Overview--Vascular Trauma
 where autologous vein grafts are not        Background and Cross-Population Generalizability. 2024a.
 feasible.                                  Moore, 2024, op. cit.
----------------------------------------------------------------------------------------------------------------
 Substantial Clinical Improvement Assertion #2: The technology significantly improves clinical outcomes relative
                                to services or technologies previously available
----------------------------------------------------------------------------------------------------------------
Conduit infection rates are lower with      Moore, 2024, op. cit.
 SYMVESSTM compared to synthetic grafts in  Humacyte Global, Inc, 2023, op. cit.
 extremity vascular trauma.                 Humacyte Global, Inc, 2024a, op. cit.
                                            Humacyte. Data on File--Propensity Score Matched Analysis Results.
                                             2024b.
                                            Wang, J., Blalock, S.K.F., Levitan, G.S., Prichard, H.L., Niklason,
                                             L.E., & Kirkton, R.D. (2023). ``Biological mechanisms of infection
                                             resistance in tissue-engineered blood vessels compared to synthetic
                                             expanded polytetrafluoroethylene grafts.'' Journal of Vascular
                                             Surgery: Vascular Science, 4, 100120. DOI: 10.1016/
                                             j.jvssci.2023.100120.
                                            The applicant also provided background information to support this
                                             claim, which can be accessed via the online posting for the
                                             technology.
SYMVESSTM results in lower amputation       Humacyte Global, Inc, 2023, op. cit.
 rates as compared to synthetic grafts.     Humacyte Global, Inc, 2024a, op. cit.
                                            Humacyte. 2024b, op. cit.
                                            Moore, 2024, op. cit.
                                            The applicant also provided background information to support this
                                             claim, which can be accessed via the online posting for the
                                             technology.
SYMVESSTM significantly improves secondary  Humacyte Global, Inc, 2023, op. cit.
 patency rates as compared to synthetic     Humacyte Global, Inc, 2024a, op. cit.
 grafts.                                    Humacyte. 2024b, op. cit.
                                            Moore, 2024, op. cit.
                                            The applicant also provided background information to support this
                                             claim, which can be accessed via the online posting for the
                                             technology.
SYMVESSTM enables quicker reperfusion of    Humacyte Global, Inc, 2023, op. cit.
 injured extremities compared to            Moore, 2024, op. cit.
 autologous vein grafts, reducing risk of   The applicant also provided background information to support this
 complications and amputation.               claim, which can be accessed via the online posting for the
                                             technology.
----------------------------------------------------------------------------------------------------------------

    We also received written public comments in response to the New 
Technology Town Hall meeting notice published in the Federal Register 
regarding the substantial clinical improvement criterion for 
SYMVESSTM, which we are summarizing in this section.
    Comment: Two commenters submitted comments on SYMVESSTM. 
A commenter stated that SYMVESSTM has not demonstrated non-
inferiority to synthetic grafts or provided evidence for when 
SYMVESSTM should be used instead of a synthetic graft in any 
of what the commenter described as underpowered, non-comparative trauma 
clinical trials (V005 and the V017). The commenter stated that instead 
of conducting a head-to-head trial, synthetic graft benchmarks that 
compared unfavorably to SYMVESSTM were used in the V005 and 
V017 trials. The commenter stated that the total number of evaluable 
patients was only 51 (V005) and 16 in the observational study (V017), 
which was not enough to show significance. In terms of primary patency 
rate, which was the primary endpoint of the V005 and V017 trials, the 
commenter noted that primary patency is defined as intervention free 
functionality, and that graft literature reports primary patency rates 
in months to years. The commenter also noted that the applicant 
reported primary patency and adverse events data at 30-day endpoints, 
while most of these vascular grafts are in patients for months to 
years. The commenter also expressed concern that the applicant defines 
secondary patency as functionality after a thrombolytic intervention. 
The commenter stated that secondary patency data can be open to 
interpretation because multiple interventions may have been used to 
keep SYMVESSTM open, even if the technology is not 
functional. In terms of the Wang et al. (2023) study, which compared 
SYMVESSTM to ePTFE grafts

[[Page 18146]]

in patients requiring a conduit for hemodialysis, the commenter stated 
that 10 times more thrombotic events occurred in the 
SYMVESSTM group (N=126) versus the control (arteriovenous 
fistula, AVF) (N=12) group, and that there was twice as much stenosis 
in the SYMVESSTM group (N=228) versus the control group 
(N=115). The commenter was not supportive of approving new technology 
add-on payments for SYMVESSTM.
    The other commenter stated that SYMVESSTM does not 
represent a meaningful improvement of the standard of care. According 
to the commenter, the actual study cohort for the V005 trial was 
modified. Specifically, the study enrolled 72 patients and treated 69 
with SYMVESSTM on an intention-to-treat basis (ITT), and 
only 51 were included in the analysis, representing an analysis on 
modified intention to treat basis (mITT). According to the commenter, 
the reasons given were that, of the 18 SYMVESSTM recipients 
who were not included in the analysis, 16 had iatrogenic injuries and 2 
had thoracic injuries. Per the commenter, the 51-patient cohort was 
referred to as ITT, even though 69 actually received the product. The 
commenter also stated that to its knowledge, the data of the 18 
patients have never been shared. The commenter also stated that the 
inclusion and exclusion criteria of the V017 trial were very different 
from those of the V005 trial. Per the commenter, the V017 trial may 
include patients who can be treated with either autologous veins or 
SYMVESSTM, and that any limb threatening injury could be 
included in the patient cohort. The commenter also noted that although 
the average Injury Severity Score (ISS) between V005 and V017 were 
similar (about 20.0), V017 has a much higher variance (standard 
deviation [SD]=18.9) than V005 (SD=10.5). The commenter also noted that 
the range of SD was not disclosed. Per the commenter, even one 
extremely high ISS could skew the average up if it was otherwise low, 
and that there were no exclusion criteria in V017 for ISS higher than 
60. The commenter also stated that while SYMVESSTM may have 
superior initial uptake in the human body than PTFE grafts, its 
performance drops off significantly over time in both trauma and 
dialysis. The commenter stated that in terms of long-term patency, 
long-term graft studies show that after a year or two, the patency 
levels off, so even 12-months or 24-months is enough to make some 
highly educated guesses about the long-term patency of the product.
    In terms of secondary patency, the commenter noted that the 12-
month rate for the combined samples of V005 and V017 was about 73 
percent, and that, based on information from Humacyte's press release 
from August 2024,\158\ the 12-month secondary patency for V017 was 87 
percent. According to the commenter, since V017 had a sample size of 
16, and the combined sample size was 67, this would imply that the 
results from V005 were in fact much lower than those of V017. According 
to the commenter, solving (((X * 51) + (0.87 * 16))/67) = 0.73 yielded 
a 12-month secondary patency rate of 68.6 percent (X [ap] 0.686078) for 
V005 which was much lower than 78.9 percent, the applicant's 30-day 
synthetic grafts benchmark for secondary patency, and 18.4 percent 
lower than the secondary patency of V017 (87 percent). According to the 
commenter, the outcomes of the two trials were different, which it 
described as two obviously different data set results. The commenter 
speculated that the difference in the long-term outcomes of V005 and 
V017 can be explained by the baseline health of the patients in each 
trial. The commenter also stated that the difference in patency between 
the two trials was obvious if safety signals are considered. Per the 
commenter, according to the adverse event data of Moore study (2024), 
the patients in the V017 trial were implicitly much healthier than 
those in the V005 trial either at presentation in clinic or afterwards. 
The commenter stated that it would be unlikely for the two trials to 
have similar outcomes. The commenter questioned whether removing one of 
the inclusion criteria in V005, that patients who received 
SYMVESSTM would have to be unable to receive arteriovenous 
grafts (AVG), would increase the average health of the patients.
---------------------------------------------------------------------------

    \158\ Humacyte presents positive long-term results in 
ATEVTM in treatment of vascular trauma in military 
setting of Ukraine Humanitarian Program (https://investors.humacyte.com/news-releases/news-release-details/humacyte-presents-positive-long-term-results-atevtm-treatment, accessed 1/30/
2025).
---------------------------------------------------------------------------

    The commenter also stated that the Moore study (2024) provided the 
confidence intervals for the amputation, infection, and death rates, 
but not for the ISS. Per the commenter, the mean (x) and standard 
deviation (SD) for the ISS were similar for the two trials (V005: 
x=20.8, SD=10.5; V017: x=20.1, SD=18.9). Per the commenter, three of 
the 16 patients in V017 had no ISS reported, and that the synthetic 
graft variance was much smaller (SD=2.4). According to the commenter, 
per the Moore team (2024), no deaths were attributed to 
SYMVESSTM.\159\ The commenter stated that overall survival 
is generally not differentiated this way in the literature, and that 
deaths resulting from injuries were counted as such regardless of 
whether the SYMVESSTM graft was patent or not. The commenter 
stated that the death rate for the two trials was 5.9 percent and zero 
percent, and that the death rate for the 2 trials combined was 3.5 
percent, which was higher than the 3.4 percent synthetic graft 
benchmark for all-cause death. The commenter stated it believed this 
was probably due to thrombotic events caused by SYMVESSTM. 
The commenter also stated that the absence of p-value in the 
applicant's report of trial results made it hard to tell whether those 
results were due to chance.
---------------------------------------------------------------------------

    \159\ Moore (2024), op. cit. p. E5.
---------------------------------------------------------------------------

    In terms of the synthetic graft benchmarks, the commenter stated 
that historical comparisons are always a last resort way to compare two 
products in a clinical trial, and that it is hard to compare two trials 
that were run in different sites, on different people, under different 
conditions, at different periods in time. According to the commenter, 
previous clinical trials for the indication of vascular trauma had 
tested different technologies (autologous vein grafts, different 
synthetic grafts) on different types of patients (for example, civilian 
versus military) on different parts of the body for short- versus long-
term. The commenter stated that trial results may be skewed by a 
historical control that performed much better or much worse than its 
comparator in a previous trial. In addition, the commenter stated that 
the way we treat thrombosis with post-graft drug regimens has evolved 
over time, and some studies found that the use of post-surgery 
prescription drugs can drastically impact outcomes. Per the commenter, 
those are the reasons that it becomes challenging to evaluate graft 
performance in 2024 using historical controls from 2004. The commenter 
asserted that head-to-head comparison is a feasible study design in 
trauma.
    The commenter noted that in Fox (2005), one of the papers in the 
meta-analysis of the Moore study (2024), the infection and amputation 
rates for the PTFE grafts were very high, and that all of the grafts 
had become infected and failed, resulting in amputation. Per the 
commenter, Fox mentioned that he had only examined one-third of all the 
patients, that the median ISS was 40 (range: 16-75), which, the 
commenter noted, was double the average for V005 (x=20.8) and V017 
(x=20.1). According

[[Page 18147]]

to the commenter, Perkins (2016), another paper in the meta-analysis, 
analyzed 579 extremity injuries and showed that amputations happened 
more often among those with higher ISS. Moreover, the commenter stated 
that while the studies in the synthetic graft meta-analysis reported 
percent of patients who received a synthetic graft, infection rate, and 
amputation rate, only some reported whether the patients who received a 
synthetic graft developed infection or underwent amputation as a result 
of the synthetic graft. In addition, while the Moore study (2024) 
reported that the meta-analysis included 281 synthetic grafts, the 
commenter noted that it was unable to replicate that number. Moreover, 
the commenter stated that the Rudstrom paper (2008), another study in 
the meta-analysis, specifically looked at iatrogenic injuries. The 
commenter questioned why patients with iatrogenic injuries were 
excluded from the evaluable cohorts in the V005 and V017 trials, but 
the synthetic graft benchmarks included the results of patients with 
iatrogenic injuries. The commenter expressed doubt as to whether 
iatrogenic injuries were excluded from the meta-analysis.
    Furthermore, the commenter stated that SYMVESSTM should 
be compared with Artegraft[supreg], a biological off-the-shelf solution 
approved for trauma, hemodialysis, and lower extremity bypass surgeries 
and owned by LeMaitre. The commenter noted that according to the 
Statistical Analysis Plan for SYMVESSTM, besides the 
synthetic graft benchmarks, the applicant also created a non-autologous 
vein and non-synthetic graft benchmark.\160\ Per the commenter, this 
benchmark has not been shared publicly, and as a result, the results of 
what that benchmarking activity yielded or what the comparative to the 
Artegraft[supreg] or other xenografts look like remain unclear.
---------------------------------------------------------------------------

    \160\ Moore et al (2024), op. cit., Supplement 6: Statistical 
Analysis Plan for Systematic Literature Review and Meta-analysis. 
Version 2.0 Final, 25 May 2023, p. 6.
---------------------------------------------------------------------------

    Regarding the Wang study (2023), the commenter stated that the 
applicant did not demonstrate non-inferiority in months 18 and 24 and 
therefore failed the study. According to the commenter, although 
SYMVESSTM demonstrated initially superior secondary patency 
and uptake in the human body, there was significant degradation over 
time, which brings into question the robustness of the technology. Per 
the commenter, the finding that SYMVESSTM performed worse 
than ePTFE in terms of secondary patency after one year is important 
because if the technology needs to be replaced more often, this 
potentially introduces significant risk to the patient by needing to 
undergo an additional surgery.
    The commenter also added that the results from the 
SYMVESSTM studies conducted in America have generally lower 
secondary patency rates. Per the commenter, when interpreting the 
SYMVESSTM clinical data, only the U.S. data should be 
considered, especially given the large variance in the injury data and 
the fact that the applicant did not exclude patients who could have 
received an autologous vein graft. The commenter stated that those were 
the major variables that greatly influenced the outcome of the Moore 
study (2024). The commenter concluded that SYMVESSTM is 
inferior to standard of care alternatives that are already approved in 
trauma.
    Response: We thank the commenters for their comments. After review 
of the information provided by the applicant and the public comments 
received in response to the New Technology Town Hall meeting, we have 
the following concerns regarding whether SYMVESSTM meets the 
substantial clinical improvement criterion. We note that being the 
first and only bioengineered blood vessel for vascular trauma may 
relate to newness but does not explain how the technology treats 
patients unresponsive to or ineligible for existing treatment options. 
Additionally, while the applicant stated that SYMVESSTM is a 
treatment option for patients ineligible for autologous vein grafts, we 
note that these patients could still receive other available treatment 
options, which may include, but are not limited to: primary repair, 
shunting, use of synthetic or other graft for bypass or interposition 
grafting, and amputation. Therefore, it is unclear that 
SYMVESSTM offers a treatment option for patients ineligible 
for or unresponsive to currently available treatments.
    With respect to the assertion that SYMVESSTM 
significantly improves clinical outcomes relative to services or 
technologies previously available, the applicant stated that 
SYMVESSTM is associated with lower conduit infection and 
amputation rates, and significantly improves secondary patency rates 
compared to synthetic grafts. To support these claims, the applicant 
provided the Moore et al. (2024) study, which compared pooled results 
from two single-arm clinical trials using SYMVESSTM (V005 
and V017) to synthetic graft benchmarks derived from a systematic 
review and meta-analysis of literature. However, we question the 
reliability and validity of the synthetic graft benchmarks against 
which Moore et al. (2024) compared SYMVESSTM effects on 
clinical outcomes. V005 was a prospective phase II/III trial of 69 
civilian patients with vascular injuries at U.S. and Israeli level 1 
trauma centers from September 2018 through June 2023. V017 was a 
retrospective trial of 19 wounded war fighters and other patients from 
a humanitarian program in Ukraine from June 2022 through June 2023. 
Moore et al. (2024) developed the three synthetic graft benchmarks 
based on a meta-analysis of 12 studies published between 2005 and 
2022.161 162 163 164 165 166 167 168 169 170 171 172 Of 
these 12 studies, 7 used samples of

[[Page 18148]]

soldiers from the wars in Iraq and Afghanistan and 5 used samples of 
civilians in the U.S., Trinidad and Tobago, and Sweden. We note that 
these 12 studies were conducted using different trial designs, patient 
samples with different baseline demographic and clinical attributes, 
and during a long period of time when innovations and guidelines for 
management of extreme arterial injury continued to emerge and evolve. 
In addition, these studies used different inclusion and exclusion 
criteria for injury types and followed different documentation 
protocols for details about injuries. Furthermore, they implemented 
different treatments based on different surgical decisions, including 
Dacron or PTFE synthetic grafts, primary repair, shunting, oversew, 
reversed vein, or amputation. Half of these studies conducted follow-up 
periods on clinical outcomes, ranging from 36 days to 10 years. We are 
concerned that not accounting for these differences in the meta-
analysis may confound the results on clinical outcomes and limit the 
reliability of the comparison between SYMVESSTM and 
synthetic grafts. In addition, more than half (N=7) of the 12 studies 
were published before 2019 and we question whether the meta-analysis 
sufficiently accounts for more recent advances in post-graft drug 
therapy and other recent advances in treatments for extremity vascular 
trauma. Moreover, we are concerned about whether there is any empirical 
evidence that the three synthetic graft benchmarks reflect the clinical 
outcomes that patients would attain if they have received guideline-
based care for extremity vascular trauma. We note that none of the 12 
studies made claims regarding the association between guideline-based 
implementation of synthetic graft treatments and extremity vascular 
trauma outcomes. Also, in 9 of the 12 studies, the number of synthetic 
graft recipients ranged from 3 to 16. We question if these samples were 
sufficiently powered to detect statistically significant and clinically 
meaningful differences between synthetic grafts and comparators on 
clinical outcomes. As previously discussed, only half of the 12 studies 
conducted follow up on clinical outcomes; however, none indicated 
whether the patients who received synthetic grafts remained in the 
trial throughout the follow-up periods. Consequently, we are interested 
in additional information on the reliability and validity of Moore et 
al. (2024) study's synthetic graft benchmarks, which were developed 
based on 12 studies with heterogeneous study designs, injury types, 
interventions, and follow-up protocols. Additionally, we note that the 
patient samples in the V005 and V017 trials may not be comparable to 
those in the 12 studies. We are interested in whether and how the 
differences, such as the availability of treatments and standard of 
care, between the V005 trial's SYMVESSTM recipients and the 
12 studies' patient populations were accounted for in the meta-analysis 
and interpretation of the clinical outcomes of the Moore et al. (2024) 
study.
---------------------------------------------------------------------------

    \161\ Fox, C.J., Gillespie, D.L., O'Donnell, S.D., Rasmussen, 
T.E., Goff, J.M., Johnson, C.A., Galgon, R.E., Sarac, T.P., & Rich, 
N.M. (2005). Contemporary management of wartime vascular trauma. 
Journal of Vascular Surgery, 41(4), 638-644. https://doi.org/10.1016/j.jvs.2005.01.010.
    \162\ Laverty, R.B., Brock, S.G., Walters, T.J., & Kauvar, D.S. 
(2021). Outcomes of Arterial Grafts for the Reconstruction of 
Military Lower Extremity Arterial Injuries. Annals of Vascular 
Surgery, 76, 59-65. https://doi.org/10.1016/j.avsg.2021.03.006.
    \163\ Lin CH, Consuegra MDL, Lin TS, Revisiting Management 
Strategies for Popliteal Artery Injuries. Ann Plast Surg. 2022 Mar 
1;88(1s Suppl 1):S44-S49.
    \164\ Perkins ZB, Yet B, Glasgow S, Marsh DWR, Tai NRM, 
Rasmussen TE, Long-term, patient-centered outcomes of lower-
extremity vascular trauma. J Trauma Acute Care Surg. 2018 Jul;85(1S 
Suppl 2):S104-S111.
    \165\ Ramdass, M.J., & Harnarayan, P. (2017). A decade of major 
vascular trauma: Lessons learned from gang and civilian warfare. 
Annals of the Royal College of Surgeons of England, 99(1), 70-75. 
https://doi.org/10.1308/rcsann.2016.0296.
    \166\ Rayamajhi S, Murugan N, Nicol A, et al. Penetrating 
femoral artery injuries: an urban trauma centre experience. Eur J 
Trauma Emerg Surg 2019 Oct;45(5):909-917.
    \167\ Rudstr[ouml]m H, Bergqvist D, Ogren M, Bj[ouml]rck M, 
Iatrogenic vascular injuries in Sweden. A nationwide study 1987-
2005. Eur J Vasc Endovasc Surg. 2008 Feb;35(2):131-8.
    \168\ Sharrock AE, Tai N, Perkins Z, et al. Management and 
outcome of 597 wartime penetrating lower extremity arterial injuries 
from an international military cohort. J Vasc Surg. 2019 
Jul;70(1):224-232.
    \169\ Stonko DP, Betzold RD, Abdou H, et al. AAST PROOVIT Study 
Group. In-hospital outcomes in autogenous vein versus synthetic 
graft interposition for traumatic arterial injury: A propensity-
matched cohort from PROOVIT. J Trauma Acute Care Surg. 2022 Feb 
1;92(2):407-412.
    \170\ Urrechaga E, Jabori S, Kang N, et al. Traumatic Lower 
Extremity Vascular Injuries and Limb Salvage in a Civilian Urban 
Trauma Center. Ann Vasc Surg. 2022 May;82:30-40.
    \171\ Vertrees A, Fox CJ, Quan RW, Cox MW, Adams ED, Gillespie 
DL, The use of prosthetic grafts in complex military vascular 
trauma: a limb salvage strategy for patients with severely limited 
autologous conduit. J Trauma. 2009 Apr;66(4):980-3.
    \172\ Watson JD, Houston R 4th, Morrison JJ, Gifford SM, 
Rasmussen TE, A retrospective cohort comparison of expanded 
polytetrafluorethylene to autologous vein for vascular 
reconstruction in modern combat casualty care. Ann Vasc Surg. 
2015;29(4):822-9.
---------------------------------------------------------------------------

    We further note that the Moore et al. (2024) study also combined 
the results of the V005 and V017 trials for comparison to the synthetic 
grafts benchmarks, and we question whether the combined results can be 
generalized to the Medicare population. In the combined sample (N=67), 
the 51 civilian patients of the V005 trial accounted for 76 percent of 
the combined total, while the 16 military patients of the V017 trial 
accounted for 24 percent of the combined total. We question whether the 
combined results can be extrapolated to a civilian or military 
population. In addition, we note that while the average age of both of 
the trials' patient populations were comparable (V005: 33.5 years; 
V017: 34.2 years); they differed in the distribution of a number of 
variables, including the types of injuries and trauma. As a result, we 
question whether it is appropriate to combine the results from these 
trials, and whether any outcomes from the trials are generalizable to 
the Medicare population, which may have a different distribution of 
various types of injuries and trauma. We also note that the applicant 
acknowledged the lack of Medicare-aged study participants in the Moore 
et al. (2024) study, and stated that the proportion (3 percent) of 
Medicare-aged patients in the V005 and V017 clinical trials was 
comparable to that in clinical databases (4.6 percent in the National 
Trauma Data Bank[supreg] (NTDB[supreg]) and 4.5 percent in the 
PROspective Observational Vascular Injury Trial (PROOVIT) registry). 
According to the applicant, the V005 and V017 trials included two 
patients at least 65 years of age who experienced vascular or extremity 
trauma (Humacyte Global, Inc., 2023). The applicant compared the 
percent of SYMVESSTM recipients 65 years of age or older 
with that of trauma patients in the PROOVIT registry, which includes 
data of vascular injuries from 14 level 1 or 2 trauma centers in the 
U.S. since February 2013 (DuBose et al., 2015).\173\ According to the 
applicant, the PROOVIT registry included 47 patients who were 65 years 
of age or older and had vascular or extremity trauma. Both of the 
SYMVESSTM patients over the age of 65 in the V005 and V017 
trials had lower extremity trauma but no upper extremity trauma. In 
comparison, 43 percent of the patients in the PROOVIT registry had 
lower extremity trauma, and 57 percent had upper extremity trauma. 
Therefore, we continue to question whether the findings of the V005 and 
V017 trials are generalizable to the Medicare population.
---------------------------------------------------------------------------

    \173\ DuBose JJ, Savage SA, and Fabian TC, et al. (2015). The 
American Association for the Surgery of Trauma PROspective 
Observation Vascular Injury Treatment (PROOVIT) registry: 
Multicenter data on modern vascular injury diagnosis, management, 
and outcomes. Journal of Trauma and Acute Care Surgery 78(2).
---------------------------------------------------------------------------

    We are also concerned that the sample sizes of the 2 trials in the 
Moore et al. (2024) study were too small to ensure that the estimates 
for clinical outcomes were reliable, as the V017 trial included only 16 
cases and the V005 trial included 51. We note that the sample size for 
the V005 trial was calculated for analyzing 30-day patency rate, which 
was the primary endpoint of the trial.\174\ The Moore team estimated 
that at least 40 cases would be needed to yield sufficient power for 
the testing of patency rate at 30 days after implant. However, whether 
a sample size yields sufficient power depends partly on the effect 
size, that is, the difference in outcomes between subjects receiving 
treatments versus control that is statistically significant and 
clinically meaningful. We question whether, due to the sample size for 
the V005 trial, the study findings with respect to patency, infections, 
amputations, and death are sufficient to support that the technology 
provides a substantial clinical improvement over existing technologies 
with respect to these outcomes.
---------------------------------------------------------------------------

    \174\ Moore (2024), op.cit. Supplement #2, Statistical Analysis 
Plan for CLO-PRO-V005, Version 8. p. 10.
---------------------------------------------------------------------------

    Moreover, we note that there are differences in the outcome data 
for the V005 trial in the Moore (2024) study and the 
SYMVESSTM United States Prescribing Information (USPI).\175\ 
We note that the USPI reports clinical outcomes for the two trials 
separately and does not present the combined outcomes. We also note 
that the clinical outcomes data for V017 are identical between the 
Moore study (2024) and Section 14, Clinical Studies, of the

[[Page 18149]]

USPI. For the V005 trial, the Moore study (2024) reported the primary 
patency rate as 84.3 percent (43/51),\176\ and the USPI 66.7 percent 
(36/54).\177\ Thus for primary patency, SYMVESSTM exceeded 
the synthetic graft benchmark (78.9 percent) according to the Moore 
study, but not according to the USPI. In terms of secondary patency, 
the Moore study (2024) reported the rate as 90.2 percent (46/51), the 
USPI 72.2 percent (39/54). Therefore, for secondary patency, 
SYMVESSTM exceeded the synthetic grafts benchmarks according 
to the Moore study (2024), but not according to the USPI. In terms of 
amputation, the Moore study (2024) reported the 30-day rate as 9.8 
percent (5/51), the USPI reported 30-day limb salvage rate as 75.9 
percent (41/54), or 24.1 percent (13/54) in terms of 30-day amputation 
rate. In terms of limb salvage, therefore, SYMVESSTM's 
performance exceeded the synthetic graft benchmark (24.3 percent) 
according to the Moore study (2024), and was comparable according to 
the USPI. Also, while the Moore study (2024) reported a 30-day all-
cause mortality rate (5.9 percent), which was higher than the 
corresponding synthetic grafts benchmark (3.4 percent), the USPI does 
not provide any mortality rates. Given the variation by data source as 
to whether SYMVESSTM performed better than the synthetic 
grafts benchmarks for primary and secondary patency and amputation 
rates, we question the applicant's assertion of clinical improvement 
compared to synthetic grafts.
---------------------------------------------------------------------------

    \175\ Humacyte Global, Inc. SYMVESS USPI [Package Insert]. 
(Revised 12/2024). Available at: https://www.fda.gov/media/184625/download?attachment.
    \176\ Moore (2024), op. cit., Table 2.
    \177\ SYMVESS USPI, op. cit. Table 2.
---------------------------------------------------------------------------

    Regarding Wang et al. (2023), a prospective, multicenter, phase III 
randomized clinical trial comparing the effects of SYMVESSTM 
to that of synthetic ePTFE grafts as an arteriovenous conduit for 
hemodialysis access in patients with ESRD, we note that the study 
sample did not assess patients with vascular trauma, and both arms were 
made up of dialysis patients, who are in general immunocompromised and 
have comorbidities, unlike trauma patients.\178\ The differences in 
clinical profiles between ESRD and trauma patients may confound the 
difference between the two groups in conduit-related infection rate, 
limb salvage rate, and other graft-related clinical outcomes. While the 
applicant provided this study to demonstrate that SYMVESSTM 
provides improved infection rate compared to synthetic grafts, we 
question the extent to which the infection rates of 
SYMVESSTM in ESRD patients can be extrapolated to patients 
with extreme arterial injury, for which the technology is indicated.
---------------------------------------------------------------------------

    \178\ U.S. Centers for Disease Control and Prevention. (2023, 
May 11). People Who Are Immunocompromised: Know how to protect 
yourself and what to do if you get sick. U.S. Department of Health 
and Human Services, Centers for Disease Control and Prevention. 
https://archive.cdc.gov/www_cdc_gov/coronavirus/2019-ncov/need-extra-precautions/people-who-are-immunocompromised.html.
---------------------------------------------------------------------------

    We also note that while the applicant provided studies comparing 
SYMVESSTM to synthetic grafts to demonstrate improved 
outcomes, we remain unclear about how the clinical outcomes of 
SYMVESSTM recipients compare to those who receive other 
currently available treatments for extremity vascular trauma, like 
cryopreserved human grafts or xenografts. We would be interested in 
additional evidence comparing SYMVESSTM and these grafts in 
order to inform our assessment of substantial clinical improvement over 
existing technologies.
    Lastly, we question the applicant's claim that SYMVESSTM 
enables quicker reperfusion of injured extremities compared to 
autologous vein grafts which reduces the risk of complications. 
According to the indication, SYMVESSTM is used when 
autologous vein graft is not feasible. Thus, SYMVESSTM would 
not be an alternative for nor comparable to autologous vein grafts. We 
welcome clarification or further information about this claim.
    We are inviting public comments on whether SYMVESSTM 
meets the substantial clinical improvement criterion.
m. TECELRA[supreg] (Afamitresgene Autoleucel)
    Adaptimmune, LLC submitted an application for new technology add-on 
payments for TECELRA[supreg] for FY 2026. According to the applicant, 
TECELRA[supreg] is a melanoma-associated antigen A4 (MAGE-A4)-directed 
genetically modified autologous T-cell immunotherapy (also referred to 
as an autologous T-cell receptor (TCR) therapy) indicated for the 
treatment of adults with unresectable or metastatic synovial sarcoma 
who have received prior chemotherapy, are HLA-A*02 subtype positive, 
and whose tumor expresses the MAGE-A4 antigen. Per the applicant, 
TECELRA[supreg] is composed of T cells genetically modified to express 
affinity-enhanced TCRs specific to the MAGE-A4 protein, which is 
expressed by synovial sarcoma tumor cells at varying frequencies.
    Please refer to the online application posting for TECELRA[supreg], 
available at https://mearis.cms.gov/public/publications/ntap/NTP241004LTDY2, for additional detail describing the technology and the 
disease treated by the technology.
    With respect to the newness criterion, according to the applicant, 
TECELRA[supreg] was granted BLA accelerated approval from FDA on August 
1, 2024 for treatment of adults with unresectable or metastatic 
synovial sarcoma who have received prior chemotherapy; are HLA-
A*02:01P, HLA-A*02:02P, HLA-A*02:03P, or HLA-A*02:06P positive; and 
whose tumor expresses the MAGE-A4 antigen as determined by FDA-approved 
or cleared companion diagnostic devices. Per the applicant, 
TECELRA[supreg] was commercially available immediately after receiving 
FDA marketing authorization. The applicant stated that TECELRA[supreg] 
is a single, one-time, patient-specific treatment delivered as an 
intravenous infusion containing 2.68 x 10\9\ to 10 x 10\9\ MAGE-A4 TCR 
positive T-cells, in one or more infusion bag(s).
    The applicant stated that, effective October 1, 2022, the following 
ICD-10-PCS codes may be used to uniquely describe procedures involving 
the use of TECELRA[supreg]: XW03368 (Introduction of afamitresgene 
autoleucel immunotherapy into peripheral vein, percutaneous approach, 
new technology group 8) or XW04368 (Introduction of afamitresgene 
autoleucel immunotherapy into central vein, percutaneous approach, new 
technology group 8).
    As previously discussed, if a technology meets all three of the 
substantial similarity criteria under the newness criterion, it would 
be considered substantially similar to an existing technology and would 
not be considered ``new'' for the purpose of new technology add-on 
payments.
    With respect to the substantial similarity criteria, the applicant 
asserted that TECELRA[supreg] is not substantially similar to other 
currently available technologies because TECELRA[supreg] is the first 
FDA-approved engineered TCR T-cell therapy with a unique mechanism of 
action that is distinct from that of other marketed therapeutic 
products, the only therapy approved for synovial sarcoma assigned to 
MS-DRG 018 (Chimeric Antigen Receptor (CAR) T-Cell and Other 
Immunotherapies), and the only therapy studied specifically in the 
synovial sarcoma patient population and FDA-approved specifically for 
the treatment of synovial sarcoma. Therefore, according to the 
applicant, the technology meets the newness criterion. The following 
table summarizes the applicant's assertions

[[Page 18150]]

regarding the substantial similarity criteria. Please see the online 
application posting for TECELRA[supreg] for the applicant's complete 
statements in support of its assertion that TECELRA[supreg] is not 
substantially similar to other currently available technologies.

--------------------------------------------------------------------------------------------------------------------------------------------------------
              Substantial similarity criteria                  Applicant response               Applicant assertions regarding this criterion
--------------------------------------------------------------------------------------------------------------------------------------------------------
Does the technology use the same or similar mechanism of    No.....................  TECELRA[supreg]'s mechanism of action is distinct from that of
 action to achieve a therapeutic outcome?                                             other marketed therapeutic products. TECELRA[supreg] is a type of
                                                                                      adoptive cell therapy, which are innovative cancer immunotherapies
                                                                                      that involve collecting lymphocytes (white blood cells, or
                                                                                      peripheral blood mononuclear cells) from the patient for the
                                                                                      purpose of genetically modifying and expanding the lymphocytes to
                                                                                      improve their tumor-fighting capabilities before returning the re-
                                                                                      engineered cells to the patient. Although CAR T-cell therapies are
                                                                                      also adoptive cell therapies, their mechanism of action is
                                                                                      different compared to TCR T-cell therapies such as
                                                                                      TECELRA[supreg]. Specifically, CAR T-cell therapies use an
                                                                                      antibody-derived single-chain antibody-variable fragment (scFv)
                                                                                      that recognizes cell surface antigens. By contrast, TCR T-cell
                                                                                      therapies recognize a specific peptide presented at the cancer
                                                                                      cell surface as peptide-HLA complexes. TECELRA[supreg] is
                                                                                      comprised of T cells that have hypervariable CDRs modified to
                                                                                      express affinity to the MAGE-A4 protein, which is expressed in
                                                                                      certain solid tumors at varying frequencies. TECELRA[supreg] is
                                                                                      the first and only FDA-approved MAGE-A4 targeted therapy of any
                                                                                      kind. Although other therapies are utilized for the treatment of
                                                                                      patients with unresectable or metastatic synovial sarcoma who have
                                                                                      received prior chemotherapy, pazopanib (VOTRIENT), a small
                                                                                      molecule antiangiogenic tyrosine kinase inhibitor, is the only
                                                                                      agent indicated for second-line (2L) treatment of soft tissue
                                                                                      sarcoma (STS).
Is the technology assigned to the same MS-DRG as existing   No.....................  As reflected in the FY 2025 Medicare IPPS Final Rule, CMS assigned
 technologies?                                                                        TECELRA[supreg]'s unique ICD-10-PCS codes (XW03368 (Introduction
                                                                                      of afamitresgene autoleucel immunotherapy into peripheral vein,
                                                                                      percutaneous approach, new technology group 8) and XW04368
                                                                                      (Introduction of afamitresgene autoleucel immunotherapy into
                                                                                      central vein, percutaneous approach, new technology group 8)) to
                                                                                      MS-DRG 018 (Chimeric Antigen Receptor (CAR) T-Cell and Other
                                                                                      Immunotherapies). TECELRA[supreg] is the only therapy approved for
                                                                                      synovial sarcoma assigned to MS-DRG 018 and the only TCR T-cell
                                                                                      therapy assigned to MS-DRG 018. Other technologies assigned to MS-
                                                                                      DRG 018 do not treat synovial sarcoma and have different
                                                                                      mechanisms of action.
Does new use of the technology involve the treatment of     No.....................  TECELRA[supreg] is the first FDA-approved engineered TCR T-cell
 the same/similar type of disease and the same/similar                                therapy and the only therapy specifically studied in and approved
 patient population when compared to an existing                                      for synovial sarcoma patients. Synovial sarcoma is a specific form
 technology?                                                                          of STS and is a rare disease that tends to occur in younger
                                                                                      individuals, with a median age of initial clinical presentation
                                                                                      being in the third decade of life. Prior to TECELRA[supreg], there
                                                                                      were no FDA-approved therapies specifically for the treatment of
                                                                                      synovial sarcoma. Pazopanib was studied in broader STS populations
                                                                                      that included a subgroup of patients with synovial sarcoma (less
                                                                                      than 10% of patients) but was not approved by FDA specifically for
                                                                                      the treatment of synovial sarcoma. No other technology is
                                                                                      specifically indicated for the treatment of adult patients with
                                                                                      synovial sarcoma. To the extent other therapies are used for the
                                                                                      treatment of synovial sarcoma off-label consistent with National
                                                                                      Comprehensive Cancer Network (NCCN) clinical guidelines, synovial
                                                                                      sarcoma patients were mere subpopulations of a larger STS subject
                                                                                      pool across multiple histologies and without formal a priori
                                                                                      subgroup efficacy analyses. Thus, we know of no studies in which
                                                                                      synovial sarcoma patients were the focus population to determine
                                                                                      safety and efficacy of the treatments.
--------------------------------------------------------------------------------------------------------------------------------------------------------

    We note that the applicant stated that TECELRA[supreg] is the only 
FDA-approved therapy specifically studied and approved for patients 
with synovial sarcoma, therefore, it does not involve the treatment of 
a similar type of disease or patient population as existing 
technologies. While the applicant stated that other therapies in the 
National Comprehensive Cancer Network Clinical Practice Guidelines 
(NCCN Guidelines[supreg]), such as pazopanib, are indicated for use in 
the broader STS population rather than specifically for synovial 
sarcoma, we note that synovial sarcoma is a type of STS. Consequently, 
we question whether existing treatments indicated for STS, which can be 
used for the treatment of specific subtypes of STS such as synovial 
sarcoma, would treat the same or similar patient population as 
TECELRA[supreg].
    We are inviting public comments on whether TECELRA[supreg] is 
substantially similar to existing technologies and whether 
TECELRA[supreg] meets the newness criterion.
    With respect to the cost criterion, the applicant provided four 
analyses to demonstrate that TECELRA[supreg] meets the cost criterion. 
Each analysis followed the order of operations summarized in the 
following table.

                                          TECELRA[supreg] Cost Analysis
----------------------------------------------------------------------------------------------------------------
 
----------------------------------------------------------------------------------------------------------------
Inclusion/exclusion criteria...........  For the Inclusion/Exclusion criteria used in the Cost Analysis,
                                          including the data source and lists of ICD-10-CM codes and MS-DRGs
                                          used by the applicant, see the cost criterion codes and MS-DRGs
                                          attachment included in the online posting for TECELRA[supreg].

[[Page 18151]]

 
Claims identified......................  Scenario 1: 1,123 claims mapping to MS-DRG 018 (Chimeric Antigen
                                          Receptor (CAR) T-Cell and Other Immunotherapies).
                                         Scenario 2: 374 claims mapping to MS-DRG 018 (Chimeric Antigen Receptor
                                          (CAR) T-Cell and Other Immunotherapies).
                                         Scenario 3: 374 claims mapping to MS-DRG 018 (Chimeric Antigen Receptor
                                          (CAR) T-Cell and Other Immunotherapies).
                                         Scenario 4: 2,174 claims mapping to 37 MS-DRGs, with 10.81% of claims
                                          mapping to MS-DRG 464 (Wound Debridement and Skin Graft Except Hand
                                          for Musculoskeletal System and Connective Tissue Disorders with CC).
Charges removed for prior technology...  Scenarios 1-3: Per the applicant, claim charges for cell and gene
                                          therapy products were removed when they were reported on the claims.
                                          For all other claims, the applicant removed the total drug charges
                                          from the claims. The applicant stated that removing all drugs charges
                                          is an overestimate of charges needing to be removed.
                                         Scenario 4: Per the applicant, no prior technology charges were removed
                                          since these cases likely do not include any high-cost therapies like
                                          MS-DRG 018 does.
                                         The applicant did not remove indirect charges related to the prior
                                          technology in all four scenarios.
Standardized charges...................  The applicant used the standardization formula provided in Appendix A
                                          of the application.
Inflation factor.......................  The applicant applied an inflation factor of 8.406% to the standardized
                                          charges, based on the inflation factor used to calculate outlier
                                          threshold charges in the FY 2025 IPPS/LTCH PPS final rule.
Charges added for the new technology...  The applicant added charges for the new technology by dividing the
                                          wholesale acquisition cost of the new technology by the national
                                          average cost-to-charge ratio of 0.178 for Drugs and Cellular Therapies
                                          from the FY 2025 IPPS/LTCH PPS final rule. The applicant did not add
                                          indirect charges related to the new technology.
Cost analysis results..................  Average case-weighted threshold amount: $1,554,026.
                                         Final inflated average case-weighted standardized charge per case:
                                         --Scenario 1: $4,286,667.
                                         --Scenario 2: $4,383,746.
                                         --Scenario 3: $4,207,244.
                                         --Scenario 4: $4,186,358.
----------------------------------------------------------------------------------------------------------------

    Because the final inflated average case-weighted standardized 
charge per case exceeded the average case-weighted threshold amount in 
all four scenarios, the applicant asserted that TECELRA[supreg] meets 
the cost criterion.
    We are inviting public comments on whether TECELRA[supreg] meets 
the cost criterion.
    With regard to the substantial clinical improvement criterion, the 
applicant asserted that TECELRA[supreg] represents a substantial 
clinical improvement over existing technologies because TECELRA[supreg] 
is the first and only FDA-approved therapy for eligible patients with 
unresectable or metastatic synovial sarcoma; is a new treatment option 
for eligible patients with unresectable or metastatic synovial sarcoma, 
who are unresponsive to existing systemic therapies after first-line 
(1L) progression; offers significant clinical improvement in overall 
response rate (ORR) and overall survival (OS) compared to existing 
therapies; and is well-tolerated with a manageable safety profile. The 
applicant provided 1 published study, TECELRA[supreg]'s prescribing 
information, and an FDA press release to support these claims, as well 
as 15 background articles about TCR T-cell therapies, expression of 
MAGE-A4 in tumors, the prevalence of HLA-A subtypes, other 2L synovial 
sarcoma treatments, and the burden of illness for patients with 
synovial sarcoma and myxoid/round cell liposarcoma (MRCLS).\179\ The 
following table summarizes the applicant's assertions regarding the 
substantial clinical improvement criterion. Please see the online 
posting for TECELRA[supreg] for the applicant's complete statements 
regarding the substantial clinical improvement criterion and the 
supporting evidence provided.
---------------------------------------------------------------------------

    \179\ Background articles are not included in the following 
table but can be accessed via the online posting for the technology.

----------------------------------------------------------------------------------------------------------------
    Applicant statements in support                   Supporting evidence provided by the applicant
----------------------------------------------------------------------------------------------------------------
Substantial Clinical Improvement Assertion #1: The technology offers a treatment option for a patient population
                       unresponsive to, or ineligible for, currently available treatments
----------------------------------------------------------------------------------------------------------------
TECELRA[supreg] is the first and only    FDA Press Release. FDA Approves First Gene Therapy to Treat Adults with
 FDA-approved engineered TCR T-cell       Metastatic Synovial Sarcoma. August 2, 2024. Available from: https://
 therapy.                                 www.fda.gov/news-events/press-announcements/fda-approves-first-gene-
                                          therapy-treat-adults-metastatic-synovial-sarcoma.
                                         The applicant also provided background information to support this
                                          claim, which can be accessed via the online posting for the
                                          technology.
TECELRA[supreg] is the first and only    U.S. Food and Drug Administration, 2024, op. cit.
 FDA-approved therapy for patients with  The applicant also provided background information to support this
 unresectable or metastatic synovial      claim, which can be accessed via the online posting for the
 sarcoma.                                 technology.

[[Page 18152]]

 
TECELRA[supreg] is a new treatment       D'Angelo SP, Araujo DM, Abdul Razak AR, et al. Afamitresgene autoleucel
 option for patients with unresectable/   for advanced synovial sarcoma and myxoid round cell liposarcoma
 metastatic synovial sarcoma,             (SPEARHEAD-1): an international, open-label, phase 2 trial (2024):
 unresponsive to existing systemic        Lancet 403;10435:1460-1471.
 therapies after first-line progression  TECELRA [package insert]. Philadelphia, PA: Adaptimmune, LLC; 2024.
 due to limited effectiveness, ORRs and  The applicant also provided background information to support this
 OS.                                      claim, which can be accessed via the online posting for the
                                          technology.
----------------------------------------------------------------------------------------------------------------
 Substantial Clinical Improvement Assertion #2: The technology significantly improves clinical outcomes relative
                                to services or technologies previously available
----------------------------------------------------------------------------------------------------------------
TECELERA[supreg] offers a significant    D'Angelo, 2024, op. cit.
 clinical improvement in ORR and OS as   Adaptimmune, 2024, op. cit.
 compared to existing therapies.         The applicant also provided background information to support this
                                          claim, which can be accessed via the online posting for the
                                          technology.
TECELERA[supreg] is well tolerated and   D'Angelo, 2024, op. cit.
 has a manageable safety profile.        Adaptimmune, 2024, op. cit.
                                         The applicant also provided background information to support this
                                          claim, which can be accessed via the online posting for the
                                          technology.
----------------------------------------------------------------------------------------------------------------

    We did not receive any written comments in response to the New 
Technology Town Hall meeting notice published in the Federal Register 
regarding the substantial clinical improvement criterion for 
TECELRA[supreg].
    After review of the supporting evidence provided by the applicant, 
we have the following concerns regarding whether TECELRA[supreg] meets 
the substantial clinical improvement criterion. With respect to the 
assertion that TECELRA[supreg] offers a treatment option for a patient 
population unresponsive to, or ineligible for, currently available 
treatments, we note that TECELRA[supreg] being the first approved TCR 
therapy may relate to mechanism of action under the newness criterion, 
but is not relevant to the demonstration of substantial clinical 
improvement. Further, while the applicant stated that TECELRA[supreg] 
is the first and only therapy approved specifically for patients with 
unresectable or metastatic synovial sarcoma, we note that synovial 
sarcoma is a subtype of the broader STS group. According to the 
applicant, there were no therapies approved by the FDA specifically for 
synovial sarcoma, and pazopanib and trabectedin are two therapies that 
may be used to manage synovial sarcoma in subsequent-line settings. 
However, according to the NCCN Clinical Guidelines[supreg] for STS, 
there are other available treatments that treat advanced and metastatic 
STS, including synovial sarcoma, which include pazopanib and 
trabectedin. Therefore, we question whether the applicant's claim 
supports that TECELRA[supreg] offers a treatment option for a patient 
population unresponsive to, or ineligible for, currently available 
treatments given there are other available treatments for patients with 
STS that would also treat patients with unresectable or metastatic 
synovial sarcoma. In addition, while the applicant stated that 
TECELRA[supreg] is a new treatment option for patients with 
unresectable or metastatic synovial sarcoma unresponsive to existing 
systemic therapies after previous 1L treatments such as anthracycline-
based or ifosfamide-based therapy due to limited effectiveness, ORR, 
and OS, it is unclear whether this patient population is unresponsive 
to or ineligible for other existing treatments such as trabectedin, in 
which higher response rates of 27-51% have been reported.\180\ We note 
that while patients in the SPEARHEAD-1 study received multiple previous 
lines of systemic therapy, the study did not list these therapies while 
noting that bridging therapy, including pazopanib, trabectedin, 
ifosfamide, or doxorubicin, was permissible between leukapheresis and 
lymphodepletion at the investigators' discretion. Therefore, we 
question whether TECELRA[supreg] offers a treatment for a patient 
population unresponsive to, or ineligible for, currently available 
treatments.
---------------------------------------------------------------------------

    \180\ Takahashi M, Takahashi S, Araki N, et al. Efficacy of 
trabectedin in patients with advanced translocation-related 
sarcomas: pooled analysis of two phase II studies. Oncologist 2017; 
22: 979-88.
---------------------------------------------------------------------------

    With regard to the claim that TECELRA[supreg] offers a significant 
clinical improvement in ORR and OS compared to existing therapies, the 
applicant provided the SPEARHEAD-1 phase II clinical trial (D'Angelo et 
al., 2024), which assessed TECELRA[supreg]'s efficacy in 44 patients 
(aged 16 to 75 years) with metastatic or unresectable synovial sarcoma 
who previously received at least 1 prior line of anthracycline-
containing or ifosfamide-containing chemotherapy. The SPEARHEAD-1 study 
found that synovial sarcoma patients treated with TECELRA[supreg] had 
an ORR of 39 percent and a median OS (mOS) of 16.9 months. According to 
the applicant, the study demonstrated a higher ORR and longer mOS than 
those from historical studies with pazopanib (18.9 percent, 10.3 
months), trabectedin (12.3 percent, 10.4 months), gemcitabine/docetaxel 
(4.5-5.0 percent, 8.4-14 months), and regorafenib (8 percent, 13.4 
months).181 182 183 184 The applicant also stated that, 
although listed in the NCCN Clinical Guidelines[supreg] for STS, 
eribulin, dacarbazine, temozolomide, and vinorelbine have not been 
adequately studied in previously treated unresectable or metastatic 
synovial sarcoma patients, and therefore, their effectiveness for this 
patient population cannot be determined (NCCN, 2024). However, we note 
that patients with unresectable or metastatic synovial sarcoma treated 
with TECELRA[supreg] demonstrated a mOS of

[[Page 18153]]

16.9 months, which is similar to the historical benchmark results from 
patients treated with gemcitabine/docetaxel (8.4 to 14 months) and 
regorafenib (13.4 months). In addition, we note that the mOS for 
SPEARHEAD-1 non-responders was comparable to existing therapies, and we 
question whether the baseline characteristics of the study population, 
such as biomarkers of resistance to TECELRA[supreg] rather than the 
treatment itself, may account for the observed survival outcomes. 
Furthermore, we note that TECELRA[supreg] is indicated for patients 
with tumors expressing the MAGE-A4 tumor antigen, and we question 
whether the provided historical benchmark results for other treatments 
in which study participants were not tested for biomarkers, such as 
MAGE-A4, may represent different target populations from that of 
TECELRA[supreg]. Finally, we note that the applicant compared the 
clinical outcomes from the SPEARHEAD-1 study to historical controls 
without appropriate statistical adjustments to account for differences 
in study designs. We question whether these differences may introduce 
confounders which could reduce the validity of the results of the 
comparison.
---------------------------------------------------------------------------

    \181\ Carroll, C., Patel, N., Gunsoy, N.B., Stirnadel-Farrant, 
H.A., & Pokras, S. (2022). Meta-analysis of pazopanib and 
trabectedin effectiveness in previously treated metastatic synovial 
sarcoma (second-line setting and beyond). Future Oncology, 18(32), 
3651-3665. https://doi.org/10.2217/fon-2022-0348.
    \182\ Pender, A., Davis, E.J., Chauhan, D., Messiou, C., Al-
Muderis, O., Thway, K., . . . & Jones, R.L. (2018). Poor treatment 
outcomes with palliative gemcitabine and docetaxel chemotherapy in 
advanced and metastatic synovial sarcoma. Medical Oncology, 35, 1-5. 
https://doi.org/10.1007/s12032-018-1193-5.
    \183\ Tansir, G., Rastogi, S., Kumar, A., Barwad, A., Mridha, 
A.R., Dhamija, E., . . . & Bhoriwal, S. (2023). A phase II study of 
gemcitabine and docetaxel combination in relapsed metastatic or 
unresectable locally advanced synovial sarcoma. BMC Cancer, 23(1), 
639. https://doi.org/10.1186/s12885-023-11099-4.
    \184\ Mir, O., Brodowicz, T., Italiano, A., Wallet, J., Blay, 
J.Y., Bertucci, F., . . . & Penel, N. (2016). Safety and efficacy of 
regorafenib in patients with advanced soft tissue sarcoma 
(REGOSARC): a randomised, double-blind, placebo-controlled, phase 2 
trial. The Lancet Oncology, 17(12), 1732-1742. https://doi.org/10.1016/S1470-2045(16)30507-1.
---------------------------------------------------------------------------

    With respect to the claim that TECELRA[supreg] is well-tolerated 
and has a manageable safety profile, the applicant stated that the 
SPEARHEAD-1 clinical trial found that 75 percent of patients 
experienced cytokine release syndrome (CRS), with only one patient 
experiencing grade >=3 CRS, and one patient experienced symptoms 
consistent with grade 1 immune effector cell-associated neurotoxicity 
syndrome (ICANS). The applicant stated that, compared to CAR T-cell 
therapies, the CRS associated with TECELRA[supreg] is modest 
(Tsimberidou et al., 2021). However, we are unclear why the applicant 
compared the safety profile of TECELRA[supreg] to CAR T-cell therapies 
(which are not approved for use in STS) rather than other available 
therapies that treat unresectable or metastatic synovial sarcoma. 
Therefore, we are interested in evidence comparing TECELRA[supreg]'s 
safety profile to other, non-CAR T-cell treatments for unresectable or 
metastatic synovial sarcoma. The applicant also stated that because 
TECELRA[supreg] is a single administration, recipients are less likely 
to experience repeated adverse events from the infusion compared to 
treatments requiring multiple/regular continuous or cyclical 
administrations; however, we question the basis for this claim as the 
applicant did not provide any supporting evidence.
    We are inviting public comments on whether TECELRA[supreg] meets 
the substantial clinical improvement criterion.
n. ZIIHERA[supreg] (Zanidatamab-hrii)
    Jazz Pharmaceuticals, Inc. submitted an application for new 
technology add-on payments for ZIIHERA[supreg] for FY 2026. According 
to the applicant, ZIIHERA[supreg] is a bispecific human epidermal 
growth factor receptor 2 (HER2)-directed antibody for the treatment of 
adults with previously treated, unresectable or metastatic HER2-
positive (IHC 3+) biliary tract cancer (BTC).
    Please refer to the online application posting for ZIIHERA[supreg], 
available at https://mearis.cms.gov/public/publications/ntap/NTP240925MW5YD, for additional detail describing the technology and the 
disease treated by the technology.
    With respect to the newness criterion, according to the applicant, 
ZIIHERA[supreg] was granted BLA approval from FDA on November 20, 2024, 
for the treatment of adults with previously treated, unresectable or 
metastatic HER2-positive (IHC 3+) BTC as detected by an FDA-approved 
test. According to the applicant, ZIIHERA[supreg]'s market availability 
was delayed to allow for final packaging with FDA approved labels and 
package inserts as well as to allow time for shipment to channel 
distribution points, therefore, ZIIHERA[supreg] became commercially 
available as of December 2, 2024. We are interested in additional 
information regarding the cause of any delay in the technology's 
commercial availability, such as related to packaging and shipment to 
channel distribution points.
    According to the applicant, ZIIHERA[supreg] is administered 
intravenously in doses of 20 mg/kg once every 2 weeks until disease 
progression or unacceptable toxicity; therefore, the dose per inpatient 
stay is 1,400 mg.
    The applicant stated that effective October 1, 2024, the following 
ICD-10-PCS codes may be used to uniquely describe procedures involving 
the use of ZIIHERA[supreg]: XW033CA (Introduction of zanidatamab 
antineoplastic into peripheral vein, percutaneous approach, new 
technology group 10) or XW043CA (Introduction of zanidatamab 
antineoplastic into central vein, percutaneous approach, new technology 
group 10). The applicant stated that C22.1 (Intrahepatic bile duct 
carcinoma), C23 (Malignant neoplasm of gallbladder), C24.0 (Malignant 
neoplasm of extrahepatic bile duct), C24.8 (Malignant neoplasm of 
overlapping sites of biliary tract), C24.9 (Malignant neoplasm of 
biliary tract, unspecified); or Z51.11 (Encounter for antineoplastic 
chemotherapy) may be used to currently identify the indication for 
ZIIHERA[supreg] under the ICD-10-CM coding system.
    As previously discussed, if a technology meets all three of the 
substantial similarity criteria under the newness criterion, it would 
be considered substantially similar to an existing technology and would 
not be considered ``new'' for the purpose of new technology add-on 
payments.
    With respect to the substantial similarity criteria, the applicant 
asserted that ZIIHERA[supreg] is not substantially similar to other 
currently available technologies because ZIIHERA[supreg]'s novel and 
distinct mechanisms of action are not the same or substantially similar 
to those of other currently available therapies used for the treatment 
of adults with previously treated, unresectable/metastatic HER2+ (IHC 
3+) BTC. In addition, the applicant asserted that ZIIHERA[supreg] is 
the first and only bispecific HER2-directed antibody indicated for this 
population, and that therefore, the technology meets the newness 
criterion. The following table summarizes the applicant's assertions 
regarding the substantial similarity criteria. Please see the online 
application posting for ZIIHERA[supreg] for the applicant's complete 
statements in support of its assertion that ZIIHERA[supreg] is not 
substantially similar to other currently available technologies.

[[Page 18154]]



--------------------------------------------------------------------------------------------------------------------------------------------------------
              Substantial similarity criteria                  Applicant response               Applicant assertions regarding this criterion
--------------------------------------------------------------------------------------------------------------------------------------------------------
Does the technology use the same or similar mechanism of    No.....................  ZIIHERA[supreg] is not the same or substantially similar to any
 action to achieve a therapeutic outcome?                                             therapies currently used to treat adults with previously treated,
                                                                                      unresectable/metastatic HER2+ (IHC 3+) BTC. It is a bispecific
                                                                                      HER2-directed, biparatopic antibody that simultaneously binds to 2
                                                                                      nonoverlapping, distinct sites on HER2: the ECD4 and ECD2 domains.
                                                                                      Trans-binding of ZIIHERA[supreg] with HER2 results in receptor
                                                                                      crosslinking, clustering, and internalization, which leads to a
                                                                                      reduction of HER2 from the cell surface. It reduces
                                                                                      phosphorylation of HER2 family members (including EGFR, HER2, and
                                                                                      HER3), downstream signaling, and ligand-dependent and -independent
                                                                                      proliferation. Distinctly, ZIIHERA[supreg] potently induces CDC,
                                                                                      ADCC, and ADCP. ZIIHERA[supreg] is substantially differentiated
                                                                                      mechanistically and clinically from currently available anti-HER2
                                                                                      agents: HERCEPTIN[supreg], indicated for the treatment of HER2-
                                                                                      overexpressing breast cancer and metastatic gastric or
                                                                                      gastroesophageal junction adenocarcinoma; PERJETA[supreg],
                                                                                      indicated for use in combination with HERCEPTIN[supreg] and
                                                                                      DOCETAXEL for HER2+ metastatic breast cancer; and ENHERTU[supreg],
                                                                                      indicated for HER2+ and HER2-low breast cancer, non-small cell
                                                                                      lung cancer (NSCLC) activating HER2 mutations, HER2+ gastric or
                                                                                      gastroesophageal junction adenocarcinoma, and HER2+ solid tumors
                                                                                      (not specifically studied in BTC), when no other satisfactory
                                                                                      treatment options for unresectable/metastatic HER2 (IHC 3+) BTC
                                                                                      exist. ZIIHERA[supreg]'s distinct mechanisms of action were
                                                                                      confirmed in preclinical models where ZIIHERA[supreg] exhibited
                                                                                      improved antitumor activity compared with HERCEPTIN[supreg] alone
                                                                                      and HERCEPTIN[supreg]PERJETA[supreg] in head-to-head comparisons
                                                                                      across a range of tumors and HER2 expression levels: 1)
                                                                                      ZIIHERA[supreg] binds adjacent HER2 reorganization not observed
                                                                                      with HERCEPTIN[supreg] or PERJETA[supreg]; 2) ZIIHERA[supreg], but
                                                                                      not HERCEPTIN[supreg] or HERCEPTIN[supreg]+PERJETA[supreg], elicit
                                                                                      potent CDC against high HER2-expressing tumor cells in vitro (the
                                                                                      only HER2 agent that can elicit CDC); and 4) ZIIHERA[supreg]
                                                                                      mediates HER2 internalization and downregulation, inhibition of
                                                                                      both cell signaling and tumor growth, ADCC and ADCP, and shows
                                                                                      superior in vivo antitumor activity compared to
                                                                                      HERCEPTIN[supreg]+PERJETA[supreg] in a HER2-expressing xenograft
                                                                                      model. ZIIHERA[supreg] is also highly differentiated
                                                                                      mechanistically and clinically from chemotherapeutic regimens or
                                                                                      other therapies used in first line (1L) and second line (2L)
                                                                                      treatment of BTC. It is not a chemotherapy. Its unique asymmetric
                                                                                      design, its biparatopic bispecific binding, and ability to induce
                                                                                      HER2 receptor crosslinking is believed to drive the multiple
                                                                                      mechanisms of action of ZIIHERA[supreg] and its clinical activity
                                                                                      as a single agent. ZIIHERA[supreg] is the first and only
                                                                                      bispecific HER2-directed antibody indicated for the treatment of
                                                                                      adults with previously treated, unresectable/metastatic HER2+ (IHC
                                                                                      3+) BTC.
Is the technology assigned to the same MS-DRG as existing   Yes....................  While ZIIHERA[supreg] will not map to MS-DRGs distinct from other
 technologies?                                                                        treatments administered to patients diagnosed with BTC, patient
                                                                                      cases receiving intravenous infusion of ZIIHERA[supreg] will be
                                                                                      identified by unique ICD-10-PCS procedures codes for
                                                                                      ZIIHERA[supreg] administration: XW033CA and XW043CA, effective
                                                                                      October 1, 2024.
Does new use of the technology involve the treatment of     No.....................  ZIIHERA[supreg] is the first and only bispecific HER2-directed,
 the same/similar type of disease and the same/similar                                biparatopic antibody approved by FDA for the treatment of adults
 patient population when compared to an existing                                      with previously treated, unresectable/metastatic HER2+ (IHC 3+)
 technology?                                                                          BTC. Results from the pivotal, single-arm phase IIb HERIZON-BTC-01
                                                                                      study support ZIIHERA[supreg] having meaningful clinical benefit
                                                                                      and potential as a new standard of care for patients with HER2+
                                                                                      (IHC 3+) BTC.
--------------------------------------------------------------------------------------------------------------------------------------------------------

    After review of the information provided by the applicant, we note 
that while the applicant stated that ZIIHERA[supreg] is the first and 
only bispecific HER2-directed, biparatopic antibody approved by FDA for 
the treatment of adults with previously treated, unresectable/
metastatic HER2+ (IHC 3+) BTC, there are several existing treatment 
options for patients with unresectable/metastatic HER2+ (IHC 3+) BTC 
such as FOLFOX, FOLFIRI, STIVARGA[supreg], or ENHERTU[supreg].\185\ 
Therefore, it is unclear how ZIIHERA[supreg] treats a new patient 
population or disease as compared to these existing treatments.
---------------------------------------------------------------------------

    \185\ National Comprehensive Care Network (NCCN). (2024, 
November 27). NCCN Guidelines Version 5.2024 Biliary Tract Cancers. 
Retrieved on January 8, 2025, from https://www.nccn.org.
---------------------------------------------------------------------------

    We are inviting public comments on whether ZIIHERA[supreg] is 
substantially similar to existing technologies and whether 
ZIIHERA[supreg] meets the newness criterion.
    With respect to the cost criterion, the applicant provided multiple 
analyses to demonstrate that ZIIHERA[supreg] meets the cost criterion. 
Each analysis followed the order of operations summarized in the 
following table.

                      ZIIHERA[supreg] Cost Analysis
------------------------------------------------------------------------
 
------------------------------------------------------------------------
Inclusion/exclusion criteria......  For the Inclusion/Exclusion criteria
                                     used in the Cost Analysis,
                                     including the data source and lists
                                     of ICD-10-CM codes, ICD-10-PCS
                                     codes, and MS-DRGs used by the
                                     applicant, see the cost criterion
                                     codes and MS-DRGs attachment
                                     included in the online posting for
                                     ZIIHERA[supreg].
Claims identified.................  Scenario 1: 152 claims mapping to 13
                                     MS-DRGs, with 12.50% of claims
                                     mapping to MS-DRG 847 (Chemotherapy
                                     Without Acute Leukemia as Secondary
                                     Diagnosis with CC).
                                    Scenario 2: 3,807 claims mapping to
                                     30 MS-DRGs, with 44.44% of claims
                                     mapping to MS-DRG 435 (Malignancy
                                     of Hepatobiliary System or Pancreas
                                     with MCC).

[[Page 18155]]

 
Charges removed for prior           Per the applicant, the utilization
 technology.                         of ZIIHERA[supreg] would replace
                                     chemotherapy charges. The applicant
                                     removed 15.9% of radiology charges
                                     from identified cases in which BTC
                                     was the primary diagnosis and
                                     removed 19.9% of radiology charges
                                     from identified cases in which BTC
                                     was a secondary diagnosis. Per the
                                     applicant, these percentages were
                                     derived based on an analysis of the
                                     revenue center file from the 100%
                                     Inpatient Standard Analytic File
                                     (SAF) in FY 2023. The applicant
                                     estimated the percentage of
                                     chemotherapy therapy-related
                                     radiology charges for each set of
                                     cases by dividing the sum of
                                     charges for chemotherapy-related
                                     revenue codes (0331, 0332, 0335) by
                                     the sum of charges for the revenue
                                     codes comprising total radiology
                                     charges. The applicant did not
                                     remove indirect charges related to
                                     the prior technology.
Standardized charges..............  The applicant used the
                                     standardization formula provided in
                                     Appendix A of the application. The
                                     applicant used all relevant values
                                     reported in the impact file posted
                                     with the FY 2023 IPPS/LTCH PPS
                                     final rule correcting amendment.
Inflation factor..................  The applicant applied an inflation
                                     factor of 8.406% to the
                                     standardized charges, based on the
                                     inflation factor used to calculate
                                     outlier threshold charges in the FY
                                     2025 IPPS/LTCH PPS final rule.
Charges added for the new           The applicant added charges for the
 technology.                         new technology by dividing the cost
                                     of the new technology by the
                                     national average cost-to-charge
                                     ratio of 0.178 for Drugs and
                                     Cellular Therapies from the FY 2025
                                     IPPS/LTCH PPS final rule. The
                                     applicant did not add indirect
                                     charges related to the new
                                     technology.
Cost analysis results.............  Scenario 1:
                                    --Average case-weighted threshold
                                     amount: $87,202.
                                    --Final inflated average case-
                                     weighted standardized charge per
                                     case: $197,284.
                                    Scenario 2:
                                    --Average case-weighted threshold
                                     amount: $93,683.
                                    --Final inflated average case-
                                     weighted standardized charge per
                                     case: $209,487.
------------------------------------------------------------------------

    Because the final inflated average case-weighted standardized 
charge per case exceeded the average case-weighted threshold amount in 
both scenarios, the applicant asserted that ZIIHERA[supreg] meets the 
cost criterion.
    We are inviting public comments on whether ZIIHERA[supreg] meets 
the cost criterion.
    With regard to the substantial clinical improvement criterion, the 
applicant asserted that ZIIHERA[supreg] represents a substantial 
clinical improvement over existing technologies because it is a 
bispecific HER2-directed antibody with multiple, distinct mechanisms of 
action and a differentiated clinical profile, and it is the first and 
only FDA-approved treatment for HER2+ (IHC 3+) BTC. In addition, the 
applicant asserted that ZIIHERA[supreg] fulfills an unmet need for this 
patient population by providing an optimal chemotherapy-free treatment 
option, where patients also have the potential to achieve meaningfully 
improved clinical benefits. The applicant provided 1 study and 2 poster 
presentations of the same study to support these claims, as well as 3 
background articles on other treatments for advanced BTC.\186\ The 
following table summarizes the applicant's assertions regarding the 
substantial clinical improvement criterion. Please see the online 
posting for ZIIHERA[supreg] for the applicant's complete statements 
regarding the substantial clinical improvement criterion and the 
supporting evidence provided.
---------------------------------------------------------------------------

    \186\ Background articles and supplemental material are not 
included in the following table but can be accessed via the online 
posting for the technology.

------------------------------------------------------------------------
                                     Supporting evidence provided by the
  Applicant statements in support                 applicant
------------------------------------------------------------------------
 Substantial Clinical Improvement Assertion #1: The technology offers a
treatment option for a patient population unresponsive to, or ineligible
                   for, currently available treatments
------------------------------------------------------------------------
ZIIHERA[supreg] is the first and    Pant S, et al. Zanidatamab in
 only bispecific HER2-directed       previously treated HER2-positive
 antibody for the treatment of       biliary tract cancer: overall
 adults with previously treated,     survival and longer follow-up from
 unresectable/metastatic HER2+       the phase 2b HERIZON-BTC-01 study.
 (IHC 3+) BTC.                       American Society of Clinical
                                     Oncology annual meeting. 2024.
                                     Abstract; Poster 4091.
                                    Harding JJ, et al. Zanidatamab for
                                     HER2-amplified, unresectable,
                                     locally advanced or metastatic
                                     biliary tract cancer (HERIZON-BTC-
                                     01): a multicentre, single-arm,
                                     phase 2b study. Lancet Oncol.
                                     2023;24(7):772-82.
                                    The applicant also provided
                                     background information and
                                     supplemental material to support
                                     this claim, which can be accessed
                                     via the online posting for the
                                     technology.
------------------------------------------------------------------------
      Substantial Clinical Improvement Assertion #2: The technology
    significantly improves clinical outcomes relative to services or
                    technologies previously available
------------------------------------------------------------------------
In HERIZON-BTC-01, ZIIHERA[supreg]  Pant, 2024, op. cit.
 demonstrated clinical benefit of   Harding, 2023, op. cit.
 sustained/durable response rates   The applicant also provided
 and longer overall survival         background information and
 compared to previously reported     supplemental material to support
 outcomes of 2L therapies for        this claim, which can be accessed
 advanced BTC.                       via the online posting for the
                                     technology.

[[Page 18156]]

 
Treatment with ZIIHERA[supreg]      Pant, 2024, op. cit.
 provides a marked clinical         Harding, 2023, op. cit.
 benefit with a significantly       The applicant also provided
 higher response rate than           background information and
 previously reported for currently   supplemental material to support
 preferred 2L chemotherapy regimen.  this claim, which can be accessed
                                     via the online posting for the
                                     technology.
The overall benefit:risk            Harding, 2023, op. cit.
 assessment of ZIIHERA[supreg] is   Wasan H, et al. Health-related
 favorable. ZIIHERA[supreg]          quality of life outcomes in
 fulfills an unmet medical need      patients with zanidatamab-treated
 and provides an option for          HER2-positive biliary tract cancer
 patients to receive clinical        in the Phase 2b HERIZON-BTC-01
 benefit with a low risk of harm.    study. Presented at European
                                     Society for Medical Oncology (ESMO)
                                     2023; Poster presentation, Poster
                                     101P.
                                    Pant, 2024, op. cit.
                                    The applicant also provided
                                     background information and
                                     supplemental material to support
                                     this claim, which can be accessed
                                     via the online posting for the
                                     technology.
------------------------------------------------------------------------

    We did not receive any written comments in response to the New 
Technology Town Hall meeting notice published in the Federal Register 
regarding the substantial clinical improvement criterion for 
ZIIHERA[supreg].
    After review of the information provided by the applicant, we have 
the following concerns regarding whether ZIIHERA[supreg] meets the 
substantial clinical improvement criterion. With respect to the 
assertion that ZIIHERA[supreg] offers a treatment option for a patient 
population unresponsive to or ineligible for existing therapies, the 
applicant stated that ZIIHERA[supreg] is the first and only FDA-
approved bispecific HER2-directed antibody for the treatment of adults 
with previously treated, unresectable/metastatic HER2+ (IHC 3+) BTC. 
However, we note that while the target (HER2+) and type of therapy 
(bispecific antibody) for a particular indication may relate to 
mechanism of action under the newness criterion, it is not relevant to 
the demonstration of substantial clinical improvement. Further, we note 
that the applicant stated that FOLFOX is the preferred subsequent line 
therapy option for these patients, and we also note that NCCN 
guidelines list additional available therapies including: FOLFIRI, 
ENHERTU[supreg], and HERCEPTIN[supreg] plus TUKYSA[supreg]. We further 
note that while the applicant provided studies describing outcomes from 
the HERIZON-BTC-01 trial of ZIIHERA[supreg] as well as background 
studies describing outcomes for other treatment options in 2L advanced 
BTC, the studies did not demonstrate that patients eligible for 
treatment with ZIIHERA[supreg] are unable to receive other existing 
therapies. Therefore, we question whether ZIIHERA[supreg] offers a 
treatment option for a patient population unresponsive to, or 
ineligible for other existing therapies.
    With respect to the assertion that ZIIHERA[supreg] significantly 
improves clinical outcomes relative to services or technologies 
previously available, the applicant provided 1 published peer-reviewed 
study of HERIZON-BTC-01 (Harding et al., 2023) and 2 poster 
presentations that are analyses of HERIZON-BTC-01 (Pant et al., 2024; 
Wasan et al., 2023) in support of its claims. Harding et al. (2023) and 
Pant et al. (2024) provided results of the phase IIB HERIZON-BTC-01, a 
global, multicenter, single arm, cohort study assessing ZIIHERA[supreg] 
treatment in 87 patients with HER2+ BTC, which were grouped into 
cohorts based on immunohistochemistry (IHC): cohort 1, n=80 (HER2+ (IHC 
2+ or IHC 3+)) and cohort 2, n=7 (IHC 0 or IHC 1+). We note that the 
HERIZON-BTC-01 study did not compare ZIIHERA[supreg] outcomes to 
outcomes for other existing treatments, and therefore we question the 
extent to which this can be relied upon for a finding of substantial 
clinical improvement. We note that 63 percent of the study's patients 
were enrolled at clinical trial sites in Asia, and we question whether 
the location of the clinical trial sites being outside of the US could 
affect the generalizability of the findings to the U.S. Medicare 
patient population. We also question whether the study's sample size 
may have impacted the ability to perform or interpret comparative 
analyses within and between the two different patient cohorts.
    With respect to the applicant's claim that, in HERIZON-BTC-01 study 
(Harding et al., 2023), ZIIHERA[supreg] demonstrated a clinical benefit 
of sustained/durable response rates, longer OS, and a significantly 
higher response rate compared to previously reported outcomes of 2L 
advanced BTC therapies, we note that while the applicant provided 
background studies comparing FOLFOX and FOLFIRI to ZIIHERA[supreg], the 
supporting evidence provided did not compare ZIIHERA[supreg] to other 
FDA-approved therapies used for unresectable/metastatic BTC such as 
ENHERTU[supreg]. The applicant stated that ZIIHERA[supreg]'s median 
confirmed objective response rate (cORR) of 51.6 percent represents a 
marked clinical benefit for the target population, which is 
approximately 10-fold higher than the previously reported median ORR 
for FOLFOX and significantly more than the historical response rate of 
7.7 percent for 2L chemotherapy regimens, noting the highest historical 
rate reported of 14.8 percent was seen in the FOLFIRI regimen. However, 
we question whether the differences in the studies' reported responses 
are comparable given that the studies are different in design, 
protocol, and methodology, which may limit the ability to interpret the 
outcomes. While the applicant stated that FOLFOX chemotherapy regimen 
remains the preferred 2L treatment of advanced BTC, as there are other 
treatments used in the 2L+ treatment of advanced BTC, we would 
appreciate additional information on the comparison of outcomes with 
ZIIHERA[supreg] to those with other FDA-approved therapies used for 
advanced/metastatic BTC.
    With respect to the claim that ZIIHERA[supreg] has a manageable 
safety profile with favorable tolerability in adults with previously 
treated, unresectable/metastatic HER2+ (IHC 3+) BTC, the applicant 
stated that, in contrast to chemotherapy regimens used as 2L or later 
therapies, ZIIHERA[supreg] as a single agent is well tolerated in the 
pretreated BTC patient population and the resulting adverse events are 
manageable. In support of this claim, the applicant provided results of 
the HERIZON-BTC-01 study (Harding et al., 2023, Wasan et al., 2023, and 
Pant et al., 2024), which measured safety and quality of life in 87 
patients. We are concerned that the safety and quality of life data 
were combined in both the Harding et al. (2023) and Pant et al. (2024) 
studies for cohort 1 (n=80) (HER2+ (IHC 3+ or IHC 2+)) and cohort 2 
(n=7) (IHC 1+ or IHC 0), and the Wasan paper reported from cohort 1 
(HER2+ (IHC 3+ or IHC 2+)). Therefore,

[[Page 18157]]

these studies did not provide data on safety and treatment-related 
adverse events for IHC 3+ BTC patients separately. We note that since 
ZIIHERA[supreg] is indicated for use in patients with HER2+ (IHC 3+) 
BTC only, we question whether the inclusion of patients with HER2+ (IHC 
2+) BTC and patients with IHC 1+ or IHC 0 BTC is appropriate to 
demonstrate outcomes for HER2+ (IHC 3+) BTC patients specifically. We 
question whether this analysis provides sufficient evidence as to 
ZIIHERA[supreg]'s overall benefit-risk profile and how it compares to 
other treatments given that Wasan et al. and Pant et al., which are 
unpublished and non-peer-reviewed conference posters, do not include 
full details of the study and methodology, which therefore may limit 
our ability to interpret the results. We further note that HERIZON-BTC-
01 was a single arm study and that the clinical outcome and HRQoL data 
are not specific to IHC 3+ BTC patients, in accordance with 
ZIIHERA[supreg]'s FDA indication.
    We are inviting public comments on whether ZIIHERA[supreg] meets 
the substantial clinical improvement criterion.
6. Proposed FY 2026 Applications for New Technology Add-On Payments 
(Alternative Pathways)
    As discussed previously, beginning with applications for FY 2021, a 
medical device designated under FDA's Breakthrough Devices Program that 
has received marketing authorization for the indication covered by the 
Breakthrough Device designation, may qualify for the new technology 
add-on payment under an alternative pathway. Additionally, beginning 
with FY 2021, a medical product that is designated by FDA as a 
Qualified Infectious Disease Product (QIDP) and has received marketing 
authorization for the indication covered by the QIDP designation, and, 
beginning with FY 2022, a medical product that is a new medical product 
approved under FDA's Limited Population Pathway for Antibacterial and 
Antifungal Drugs (LPAD) and used for the indication approved under the 
LPAD pathway, may also qualify for the new technology add-on payment 
under an alternative pathway. Under an alternative pathway, a 
technology will be considered not substantially similar to an existing 
technology for purposes of the new technology add-on payment under the 
IPPS and will not need to meet the requirement that it represents an 
advance that substantially improves, relative to technologies 
previously available, the diagnosis or treatment of Medicare 
beneficiaries. These technologies must still be within the 2-to-3-year 
newness period to be considered ``new,'' and must also still meet the 
cost criterion.
    As discussed previously, in the FY 2023 IPPS/LTCH PPS final rule, 
we finalized our proposal to publicly post online applications for new 
technology add-on payment beginning with FY 2024 applications (87 FR 
48986 through 48990). As noted in the FY 2023 IPPS/LTCH PPS final rule, 
we are continuing to summarize each application in this proposed rule. 
However, while we are continuing to provide discussion of the concerns 
or issues we identified with respect to applications submitted under 
the alternative pathway, we are providing more succinct information as 
part of the summaries in the proposed and final rules regarding the 
applicant's assertions as to how the medical service or technology 
meets the applicable new technology add-on payment criteria. We refer 
readers to https://mearis.cms.gov/public/publications/ntap for the 
publicly posted FY 2026 new technology add-on payment applications and 
supporting information (with the exception of certain cost and volume 
information, and information or materials identified by the applicant 
as confidential or copyrighted), including tables listing the ICD-10-CM 
codes, ICD-10-PCS codes, and/or MS-DRGs related to the analyses of the 
cost criterion for certain technologies for the FY 2026 new technology 
add-on payment applications. In addition, for certain FY 2026 new 
technology add-on payment applications, we are making available 
separate tables listing the ICD-10-CM codes and/or ICD-10-PCS codes 
that we believe would be used to identify cases relevant to the 
Breakthrough Device-designated indications, or would be appropriate to 
exclude for cases related to FDA market authorized indications that are 
not covered by the Breakthrough Device designation indications, for 
purposes of the new technology add-on payment, if approved, in Table 10 
associated with this proposed rule, available via the internet on the 
CMS website at https://www.cms.gov/medicare/medicare-fee-for-service-payment/acuteinpatientpps. Click on the link on the left side of the 
screen titled ``FY 2026 IPPS Proposed Rule Home Page'' or ``Acute 
Inpatient--Files for Download''. Please see section VI of the Addendum 
for additional information regarding tables associated with this 
proposed rule.
    We received 34 applications for new technology add-on payments for 
FY 2026 under the new technology add-on payment alternative pathway. As 
discussed in the FY 2024 IPPS/LTCH PPS final rule (88 FR 58948 through 
58958) and the FY 2025 IPPS/LTCH PPS final rule (89 FR 69242 through 
69245), we finalized that beginning with the new technology add-on 
payment applications for FY 2025, for technologies that are not already 
FDA market authorized for the indication that is the subject of the new 
technology add-on payment application, applicants must have a complete 
and active FDA market authorization request at the time of new 
technology add-on payment application submission and must provide 
documentation of FDA acceptance or filing to CMS at the time of 
application submission, consistent with the type of FDA marketing 
authorization application the applicant has submitted to FDA. See Sec.  
412.87(e) and further discussion in the FY 2024 and the FY 2025 IPPS/
LTCH PPS final rules (88 FR 58948 through 58958; 89 FR 69242 through 
69245). Of the 34 applications received under the alternative pathway, 
1 application was not eligible for consideration for new technology 
add-on payment because it did not meet these requirements; and 4 
applicants withdrew their applications prior to the issuance of this 
proposed rule. Of the remaining 29 applications, 27 of the technologies 
received a Breakthrough Device designation from FDA. The remaining two 
applications were designated as a QIDP by FDA. We did not receive any 
applications for technologies approved through the LPAD pathway.
    In accordance with the regulations under Sec.  412.87(f)(2), 
applicants for new technology add-on payments for FY 2026 for 
Breakthrough Devices must have FDA marketing authorization by May 1 of 
the year prior to the beginning of the fiscal year for which the 
application is being considered. Under Sec.  412.87(f)(3), applicants 
for new technology add-on payments for FY 2026 for QIDPs and 
technologies approved under the LPAD pathway must have FDA marketing 
authorization by July 1 of the year prior to the beginning of the 
fiscal year for which the application is being considered. The policy 
finalized in the FY 2021 IPPS/LTCH PPS final rule (85 FR 58742) 
provides for conditional approval for a technology for which an 
application is submitted under the alternative pathway for certain 
antimicrobial products (QIDPs and LPADs) at Sec.  412.87(d) that does 
not receive FDA marketing authorization by July 1 prior to the 
particular fiscal year for which the applicant applied for new 
technology add-on payments, provided that the technology receives FDA

[[Page 18158]]

marketing authorization before July 1 of the fiscal year for which the 
applicant applied for new technology add-on payments. We refer the 
reader to the FY 2021 IPPS/LTCH final rule for a complete discussion of 
this policy (85 FR 58737 through 58742).
    As we did in the FY 2025 IPPS/LTCH PPS proposed rule, for 
applications under the alternative new technology add-on payment 
pathway, in this proposed rule we are making a proposal to approve or 
disapprove each of these 29 applications for FY 2026 new technology 
add-on payments. Therefore, in this section of the preamble of this 
proposed rule, we provide a table summarizing background information 
and the cost analysis for each alternative pathway application and 
propose whether or not each technology would be eligible for the new 
technology add-on payment for FY 2026. We refer readers to section 
II.H.8. of the preamble of the FY 2020 IPPS/LTCH PPS final rule (84 FR 
42292 through 42297) and FY 2021 IPPS/LTCH PPS final rule (85 FR 58715 
through 58733) for further discussion of the alternative new technology 
add-on payment pathways for these technologies.
a. Alternative Pathway for Breakthrough Devices
1. 4WEB Medical Ankle Truss System
    The following table summarizes the information provided in the new 
technology add-on payment application for the 4WEB Medical Ankle Truss 
System. We note that 4WEB Medical, Inc. submitted an application for 
new technology add-on payments for the 4WEB Medical Ankle Truss System 
for FY 2024, as summarized in the FY 2024 IPPS/LTCH PPS proposed rule 
(88 FR 26924 through 26926), which the applicant withdrew prior to the 
issuance of the FY 2024 IPPS/LTCH PPS final rule (88 FR 58919).
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    After review of the information provided by the applicant, since 
the indication for which the applicant received 510(k) clearance is 
included within the scope of the Breakthrough Device designation 
indication, it appears that the FDA-cleared indication is appropriate 
for consideration for new technology add-on payment under the 
alternative pathway criteria.
    We agree with the applicant that the 4WEB Medical ATS meets the 
cost criterion and are therefore proposing to approve the 4WEB Medical 
ATS for new technology add-on payments for FY 2026 for use as an 
accessory to the Stryker T2 Ankle Arthrodesis Nail or the Stryker Valor 
Hindfoot Fusion Nail as part of a TCC fusion construct in a salvage 
procedure following failed ankle arthrodesis or failed ankle 
arthroplasty for patients at risk for loss of limb.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost of the 
4WEB Medical ATS to the hospital to be $23,500 per patient. Per the 
applicant, one 4WEB Medical ATS is used per patient per hospital 
discharge. We note that the cost information for this technology may be 
updated in the final rule based on revised or additional information 
CMS receives prior to the final rule. Under Sec.  412.88(a)(2), we 
limit new technology add-on payments to the lesser of 65 percent of the 
average cost of the technology, or 65 percent of the costs in excess of 
the MS-DRG payment for the case. As a result, we are proposing that the 
maximum new technology add-on payment for a case involving the use of 
the 4WEB Medical ATS would be $15,275 for FY 2026 (that is, 65 percent 
of the average cost of the technology).
    We invite public comments on whether the 4WEB Medical ATS meets the 
cost criterion and our proposal to approve new technology add-on 
payments for the 4WEB Medical ATS for FY 2026.
2. AeroPace[supreg] System
    The following table summarizes the information provided in the new 
technology add-on payment application for the AeroPace[supreg] System.

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BILLING CODE 4120-01-C
    After review of the information provided by the applicant, since 
the indication for which the applicant received PMA approval from FDA 
is

[[Page 18162]]

included within the scope of the Breakthrough Device designation 
indication, it appears that the FDA-approved indication is appropriate 
for consideration for new technology add-on payment under the 
alternative pathway criteria.
    We note that the applicant stated that the technology is not yet 
available for sale because it would take time following FDA approval to 
finalize its commercial operations and market materials to include the 
final labeling and regulatory information. We are interested in 
additional information regarding the cause for any delay in the 
technology's market availability, as it received FDA approval on 
December 4, 2024, and the applicant states that it is not expected to 
be commercially available until October 1, 2025.
    We agree with the applicant that the AeroPace[supreg] System meets 
the cost criterion and are therefore proposing to approve the 
AeroPace[supreg] System for new technology add-on payments for FY 2026, 
for use to improve weaning success--increase weaning, reduce ventilator 
days, and reduce reintubation--in patients ages 18 years or older on MV 
>=96 hours and who have not weaned.
    The applicant has not provided an estimate for the cost of the 
AeroPace[supreg] System at the time of this proposed rule. The 
applicant stated that the operating components include the 
AeroPace[supreg] Catheter and the Airway Sensor. The applicant also 
noted the capital components of the AeroPace[supreg] Neurostimulation 
Console, Catheter Cable, Handheld Controller, and Airway Sensor Cable. 
Because section 1886(d)(5)(K)(i) of the Act requires that the Secretary 
establish a mechanism to recognize the costs of new medical services or 
technologies under the payment system established under that 
subsection, which establishes the system for payment of the operating 
costs of inpatient hospital services, we do not include capital costs 
in the add-on payments for a new medical service or technology or make 
new technology add-on payments under the IPPS for capital-related costs 
(86 FR 45145). As noted, the applicant stated that the cost of the 
AeroPace[supreg] Neurostimulation Console, Catheter Cable, Handheld 
Controller, and Airway Sensor Cable are capital costs. Therefore, it 
appears that these components are not eligible for new technology add-
on payment because, as discussed in prior rulemaking and as noted, we 
only make new technology add-on payments for operating costs (72 FR 
47307 through 47308). We expect the applicant to submit cost 
information prior to the final rule, and we will provide an update 
regarding the new technology add-on payment amount for the technology, 
if approved, in the final rule. Any new technology add-on payment for 
the AeroPace[supreg] System would be subject to our policy under Sec.  
412.88(a)(2) where we limit new technology add-on payment to the lesser 
of 65 percent of the average cost of the technology, or 65 percent of 
the costs in excess of the MS-DRG payment for the case.
    We invite public comments on whether the AeroPace[supreg] System 
meets the cost criterion and our proposal to approve new technology 
add-on payments for the AeroPace[supreg] System for FY 2026.
3. AGENTTM Paclitaxel-Coated Balloon Catheter
    The following table summarizes the information provided in the new 
technology add-on payment application for the AGENTTM 
Paclitaxel-Coated Balloon Catheter.
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BILLING CODE 4120-01-C
    After review of the information provided by the applicant, since 
the indication for which the applicant received PMA approval from FDA 
is

[[Page 18164]]

included within the scope of the Breakthrough Device designation 
indication, it appears that the FDA-approved indication is appropriate 
for consideration for new technology add-on payment under the 
alternative pathway criteria.\187\
---------------------------------------------------------------------------

    \187\ Breakthrough Devices Program https://www.fda.gov/medical-devices/how-study-and-market-your-device/breakthrough-devices-program.
---------------------------------------------------------------------------

    We agree with the applicant that the AGENTTM Paclitaxel-
Coated Balloon Catheter meets the cost criterion and are therefore 
proposing to approve the AGENTTM Paclitaxel-Coated Balloon 
Catheter for new technology add-on payments for FY 2026 for use after 
appropriate vessel preparation in adult patients undergoing PCI in 
coronary arteries 2.0 mm to 4.0 mm in diameter and lesions up to 26 mm 
in length for the purpose of improving myocardial perfusion when 
treating ISR.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost of the 
AGENTTM Paclitaxel-Coated Balloon Catheter to the hospital 
to be $6,175 per patient. We note that the cost information for this 
technology may be updated in the final rule based on revised or 
additional information CMS receives prior to the final rule. Under 
Sec.  412.88(a)(2), we limit new technology add-on payments to the 
lesser of 65 percent of the average cost of the technology, or 65 
percent of the costs in excess of the MS-DRG payment for the case. As a 
result, we are proposing that the maximum new technology add-on payment 
for a case involving the use of the AGENTTM Paclitaxel-
Coated Balloon Catheter would be $4,013.75 for FY 2026 (that is, 65 
percent of the average cost of the technology).
    We invite public comments on whether the AGENTTM 
Paclitaxel-Coated Balloon Catheter meets the cost criterion and our 
proposal to approve new technology add-on payments for the 
AGENTTM Paclitaxel-Coated Balloon Catheter for FY 2026.
4. alfapump[supreg] System
    The following table summarizes the information provided in the new 
technology add-on payment application for the alfapump[supreg] system.
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BILLING CODE 4120-01-C
    As noted, the applicant stated that the technology is not expected 
to be commercially available until July 2025 due to its internal 
production capacity and the phased roll out plan into Liver Transplant 
centers. We are interested in additional information regarding any 
delay, such as whether the technology would be available for sale 
during its phased roll out plan.
    We agree with the applicant that the alfapump[supreg] system meets 
the cost criterion and are therefore proposing to approve the 
alfapump[supreg] system for new technology add-on payments for FY 2026, 
in adult patients with refractory or recurrent ascites due to liver 
cirrhosis for the removal of excess peritoneal fluid from the 
peritoneal cavity into the bladder.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost of the 
alfapump[supreg] system to the hospital to be $30,000 per patient. Per 
the applicant, the alfapump[supreg] system is a single patient use 
implantable device, and one device is used per hospital stay. We note 
that the cost information for this technology may be updated in the 
final rule based on revised or additional information CMS receives 
prior to the final rule. Under Sec.  412.88(a)(2), we limit new 
technology add-on payments to the lesser of 65 percent of the average 
cost of the technology, or 65 percent of the costs in excess of the MS-
DRG payment for the case. As a result, we are proposing that the 
maximum new technology add-on payment for a case involving the use of 
the alfapump[supreg] system would be $19,500 for FY 2026 (that is, 65 
percent of the average cost of the technology).
    We invite public comments on whether the alfapump[supreg] system 
meets the cost criterion and our proposal to approve new technology 
add-on payments for the alfapump[supreg] system.
5. aprevo[supreg]-C Cervical Interbody Fusion Device
    The following table summarizes the information provided in the new 
technology add-on payment application for the aprevo[supreg]-C cervical 
interbody fusion device.
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BILLING CODE 4120-01-C
    After review of the information provided by the applicant, since 
the indication for which the applicant received 510(k) clearance from 
FDA is included within the scope of the Breakthrough Device 
designation, it appears that the FDA 510(k) clearance indication is 
appropriate for consideration for new technology add-on payment under 
the alternative pathway criteria.
    We note that the applicant stated that the technology is expected 
to be commercially available starting October 1, 2025, to align with 
the start of the new technology add-on payment. We are interested in 
additional information regarding the cause for any delay in the 
technology's market availability as the technology received FDA 
clearance on November 15, 2024.
    We agree with the applicant that the aprevo[supreg]-C cervical 
interbody fusion device meets the cost criterion and are therefore 
proposing to approve the aprevo[supreg]-C cervical interbody fusion 
device for new technology add-on payments for FY 2026, as interbody 
fusion devices indicated at one or more levels of the cervical spine 
(C2-T1) in patients with the following degenerative cervical 
conditions: cervical disc disease, instability, trauma including 
fractures, deformity defined as kyphosis, lordosis, or scoliosis, 
cervical spondylotic myelopathy, spinal stenosis, and failed previous 
fusion.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost of the 
aprevo[supreg]-C cervical interbody fusion device to the hospital to be 
$32,500 per patient. The applicant stated that the average number of 
cervical interbody fusion (CIBF) devices per procedure is 4.42 if the 
patient has a deformity and 1.7 if the patient has a degenerative 
condition. Per the applicant, based on the projected mix between these 
diagnoses, the average number of aprevo[supreg]-C CIBF per procedure is 
expected to be 3.25. The applicant stated that the selling price will 
be $19,000 for the first level, and $6,000 for each additional level. 
We note that the cost information for this technology may be updated in 
the final rule based on revised or additional information CMS receives 
prior to the final rule. Under Sec.  412.88(a)(2), we limit new 
technology add-on payments to the lesser of 65 percent of the average 
cost of the technology, or 65 percent of the costs in excess of the MS-
DRG payment for the case. As a result, we are proposing that the 
maximum new technology add-on payment for a case involving the use of 
the aprevo[supreg]-C cervical interbody fusion device would be $21,125 
for FY 2026 (that is, 65 percent of the average cost of the 
technology).
    We invite public comments on whether the aprevo[supreg]-C cervical 
interbody fusion device meets the cost criterion and our proposal to 
approve new technology add-on payments for the aprevo[supreg]-C 
cervical interbody fusion device for FY 2026.
6. CERAMENT[supreg] G
    The following table summarizes the information provided in the new 
technology add-on payment application for CERAMENT[supreg] G.
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    We note that under the eligibility criteria for approval under the 
alternative pathway for certain transformative devices, only the use of

[[Page 18170]]

the technology for the indication that corresponds to the technology's 
Breakthrough Device designation would be eligible for the new 
technology add-on payment. Therefore, only the use of CERAMENT[supreg] 
G for open fractures, and the FDA Breakthrough Device designation it 
received for that use, are relevant for purposes of the new technology 
add-on payment application for FY 2026. We note that CERAMENT[supreg] G 
is also indicated for use for bone infections and was approved for new 
technology add-on payment for that indication in the FY 2023 IPPS/LTCH 
PPS final rule (87 FR 48961 through 48966). As discussed in section 
II.E.4. of the preamble of this proposed rule, we are proposing to 
discontinue making new technology add-on payments for FY 2026 for use 
of CERAMENT[supreg] G for bone infections. We believe cases involving 
the use of CERAMENT[supreg] G related to bone infections, which would 
no longer be eligible for new technology add-on payment in FY 2026, 
would be identified by the ICD-10-PCS code XW0V0P7 (Introduction of 
antibiotic-eluting bone void filler into bones, open approach, new 
technology group 7) in combination with the ICD-10-CM codes in category 
M86 (Osteomyelitis). We are inviting public comments on the use of 
these codes to exclude the indication for use of CERAMENT[supreg] G 
related to bone infections, which would not be eligible for the new 
technology add-on payment for FY 2026, if approved.
    We agree with the applicant that CERAMENT[supreg] G meets the cost 
criterion and are therefore proposing to approve CERAMENT[supreg] G for 
new technology add-on payments for FY 2026 for use as a bone void 
filler intended for use in defects in the extremities of skeletally 
mature patients as an adjunct to systemic antibiotic therapy and 
surgical debridement as part of the standard treatment approach to open 
fractures.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost to the 
hospital to be $8,750 per patient. The applicant stated that the cost 
of 10 cc of CERAMENT[supreg] G would be $8,750, and expected that 10 cc 
of CERAMENT[supreg] G would be used per patient as indicated in a long-
term study of 81 patients with open fractures.\188\ We note that the 
cost information for this technology may be updated in the final rule 
based on revised or additional information CMS receives prior to the 
final rule. Under Sec.  412.88(a)(2), we limit new technology add-on 
payments to the lesser of 65 percent of the average cost of the 
technology, or 65 percent of the costs in excess of the MS-DRG payment 
for the case. As a result, we are proposing that the maximum new 
technology add-on payment for a case involving the use of 
CERAMENT[supreg] G would be $5,687.50 for FY 2026 (that is, 65 percent 
of the average cost of the technology).
---------------------------------------------------------------------------

    \188\ Henry, J, Ali, A., and Elkhidir, I et al. (2023). Long-
term follow-up of open Gustilo-Anderson IIIB fractures treated with 
an adjuvant local antibiotic hydroxyapatite bio-composite. Cureus 
15(5): e39103. DOI 10.7759/cureus.39103.
---------------------------------------------------------------------------

    We invite public comments on whether CERAMENT[supreg] G meets the 
cost criterion and our proposal to approve new technology add-on 
payments for CERAMENT[supreg] G for FY 2026.
7. Dexcom G7 Hospital Continuous Glucose Monitoring (CGM) System
    The following table summarizes the information provided in the new 
technology add-on payment application for the Dexcom G7 Hospital CGM 
System.
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BILLING CODE 4120-01-C
    After review of the information provided by the applicant, we note 
that under the eligibility criteria for approval under the alternative 
pathway for

[[Page 18172]]

certain transformative devices, only the use of the technology for the 
indication that corresponds to the technology's Breakthrough Device 
designation would be eligible for the new technology add-on payment for 
FY 2026. As noted by the applicant, the expected De Novo indication is 
not limited to insulin-treated diabetes patients, as noted in the 
Breakthrough Device designation. Therefore, it appears that only the 
use of the Dexcom G7 Hospital CGM System for insulin-treated diabetes, 
and the FDA Breakthrough Device designation it received for that use, 
would be relevant for purposes of the new technology add-on payment 
application for FY 2026.
    We believe the relevant ICD-10-CM codes to identify the 
Breakthrough Device-designated indication for use of the technology in 
insulin-treated diabetes patients would be the ICD-10-CM code Z79.4 
(Long term (current) use of insulin) in combination with: the ICD-10-CM 
codes in the categories E08 (Diabetes mellitus due to underlying 
condition), E09 (Drug or chemical induced diabetes mellitus), E11 (Type 
2 diabetes mellitus), or E13 (Other specified diabetes mellitus), or 
the ICD-10-CM codes in the subcategories O24.1 (Pre-existing type 2 
diabetes mellitus, in pregnancy, childbirth and the puerperium), O24.3 
(Unspecified pre-existing diabetes mellitus in pregnancy, childbirth 
and the puerperium), O24.8 (Other pre-existing diabetes mellitus in 
pregnancy, childbirth, and the puerperium), or O24.9 (Unspecified 
diabetes mellitus in pregnancy, childbirth and the puerperium). 
Insulin-treated diabetes patients may also be identified by: the ICD-
10-CM codes in category E10 (Type 1 diabetes mellitus), the ICD-10-CM 
codes in the subcategory O24.0 (Pre-existing type 1 diabetes mellitus, 
in pregnancy, childbirth and the puerperium), or the ICD-10-CM codes 
O24.414 (Gestational diabetes mellitus in pregnancy, insulin 
controlled), O24.424 (Gestational diabetes mellitus in childbirth, 
insulin controlled), or O24.434 (Gestational diabetes mellitus in the 
puerperium, insulin controlled). We are inviting public comments on the 
use of these ICD-10-CM diagnosis codes to identify the Breakthrough 
Device-designated indication for purposes of the new technology add-on 
payment, if approved.
    We agree with the applicant that the Dexcom G7 Hospital CGM System 
meets the cost criterion and are therefore proposing to approve the 
Dexcom G7 Hospital CGM System for new technology add-on payments for FY 
2026, subject to the technology receiving FDA marketing authorization 
for the indication corresponding to the Breakthrough Device designation 
by May 1, 2025.
    The applicant has not provided an estimate for the cost of the 
Dexcom G7 Hospital CGM System at the time of this proposed rule. The 
applicant stated that the following components are included for the 
cost of the technology: the operating cost of the Dexcom G7 Hospital 
CGM Wearable Sensor and Applicator, and the capital cost of the Dexcom 
G7 Hospital CGM System Display App. Because section 1886(d)(5)(K)(i) of 
the Act requires that the Secretary establish a mechanism to recognize 
the costs of new medical services or technologies under the payment 
system established under that subsection, which establishes the system 
for payment of the operating costs of inpatient hospital services, we 
do not include capital costs in the add-on payments for a new medical 
service or technology or make new technology add-on payments under the 
IPPS for capital-related costs (86 FR 45145). As noted, the applicant 
stated that the cost of the Dexcom G7 Hospital CGM System Display App 
is a capital cost. Therefore, it appears that this component is not 
eligible for new technology add-on payment because, as discussed in 
prior rulemaking and as noted, we only make new technology add-on 
payments for operating costs (72 FR 47307 through 47308). We expect the 
applicant to submit cost information prior to the final rule, and we 
will provide an update regarding the new technology add-on payment 
amount for the technology, if approved, in the final rule. Any new 
technology add-on payment for the Dexcom G7 Hospital CGM System would 
be subject to our policy under Sec.  412.88(a)(2) where we limit new 
technology add-on payment to the lesser of 65 percent of the average 
cost of the technology, or 65 percent of the costs in excess of the MS-
DRG payment for the case.
    We invite public comments on whether the Dexcom G7 Hospital CGM 
System meets the cost criterion and our proposal to approve new 
technology add-on payments for the Dexcom G7 Hospital CGM System for FY 
2026, subject to the technology receiving FDA marketing authorization 
for the indication corresponding to the Breakthrough Device designation 
by May 1, 2025.
8. DrugSorb-ATR Device
    The following table summarizes the information provided in the new 
technology add-on payment application for the DrugSorb-ATR Device.
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BILLING CODE 4120-01-C
    After review of the information provided by the applicant, we agree 
with the applicant that the DrugSorb-ATR device meets the cost 
criterion and are therefore proposing to approve the DrugSorb-ATR 
device for new technology add-on payments for FY 2026, subject to the 
technology receiving FDA marketing authorization for the indication 
corresponding to the Breakthrough Device designation by May 1, 2025.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost of the 
DrugSorb-ATR device to the hospital to be $7,000 per patient. We note 
that the cost information for this technology may be updated in the 
final rule based on revised or additional information CMS receives 
prior to the final rule. Under Sec.  412.88(a)(2), we limit new 
technology add-on payments to the lesser of 65 percent of the average 
cost of the technology, or 65 percent of the costs in excess of the MS-
DRG payment for the case. As a result, we are proposing that the 
maximum new technology add-on payment for a case involving the use of 
the DrugSorb-ATR device would be $4,550 for FY 2026 (that is, 65 
percent of the average cost of the technology).
    We invite public comments on whether the DrugSorb-ATR device meets 
the cost criterion and our proposal to approve new technology add-on 
payments for the DrugSorb-ATR

[[Page 18174]]

device for FY 2026, subject to the technology receiving FDA marketing 
authorization for the indication corresponding to the Breakthrough 
Device designation by May 1, 2025.
9. Emily's Care Nourish Test System (Model 1)
    The following table summarizes the information provided in the new 
technology add-on payment application for the Emily's Care Nourish Test 
System (Model 1).
BILLING CODE 4120-01-P
[GRAPHIC] [TIFF OMITTED] TP30AP25.012


[[Page 18175]]


BILLING CODE 4120-01-C
    After review of the information provided by the applicant, we note 
that under the eligibility criteria for approval under the alternative 
pathway for certain transformative devices, only the use of the 
technology for the indication that corresponds to the technology's 
Breakthrough Device designation would be eligible for the new 
technology add-on payment for FY 2026. Therefore, only the use of the 
Emily's Care Nourish Test System (Model 1) for VLBW neonates and 
infants in the NICU, and the FDA Breakthrough Device designation it 
received for that use, are relevant for purposes of the new technology 
add-on payment application for FY 2026.
    We note the following concerns with respect to the cost criterion. 
We are unclear how the applicant identified the 25,000 claims used in 
its cost analysis, including the type of source data and the data year 
that were used to identify cases. The applicant did not provide a 
completed cost criterion codes and MS-DRGs worksheet and we are unclear 
how ICD-10-PCS and/or -CM codes were used to identify potential cases 
representing patients that may be eligible for use of the Emily's Care 
Nourish Test System (Model 1). We note that MS-DRGs 790 and 791 
identified by the applicant may represent a patient population broader 
than those cases that would be included within the scope of the 
Breakthrough Device designation indication that is appropriate for 
consideration for new technology add-on payment under the alternative 
pathway criteria (VLBW neonates and infants less than 6 months of age 
in the NICU), and we question whether using these MS-DRGs without 
additional inclusion and/or exclusion criteria would be representative 
of cases eligible for new technology add-on payment.
    Furthermore, it appears that the applicant did not identify 
relevant cases from a claims database such as the MedPAR file for its 
cost analysis, but instead calculated a case volume based on 
assumptions using the number of total live births in the United States. 
In addition, we question the assumptions used in the cost analysis 
regarding the potential Medicare volume for the technology. As noted in 
the FDA clearance letter for this device,\189\ its intended patient 
population is newborns, including preterm, and infants. The applicant 
asserts that after a premature infant is delivered, the infant may be 
eligible for Medicare coverage if it qualifies under specific criteria, 
such as disability or end-stage renal disease (ESRD). Although we agree 
that infants may be eligible for Medicare if they have ESRD and need 
regular dialysis or have had a kidney transplant,\190\ we note that 
Medicare Part A entitlement--for inpatient hospital services--based on 
child disability benefit entitlement can never begin before the month 
the person attains age 20 (or age 18 if the individual's disability is 
Amyotrophic Lateral Sclerosis).\191\
---------------------------------------------------------------------------

    \189\ https://www.accessdata.fda.gov/cdrh_docs/pdf23/K234088.pdf.
    \190\ Centers for Medicare & Medicaid Services. End-stage renal 
disease (https://www.medicare.gov/basics/end-stage-renal-disease, 
accessed 1/16/2024).
    \191\ Centers for Medicare & Medicaid Services. Original 
Medicare (Part A and B) Eligibility and Enrollment (https://www.cms.gov/medicare/enrollment-renewal/health-plans/original-part-a-b, accessed 1/16/2024).
---------------------------------------------------------------------------

    Furthermore, we are unclear how the average charge per case 
(unstandardized with no case weight) was calculated as it is unclear 
what claims data was used to determine the average charges for MS-DRG 
790 and MS-DRG 791. We are also unclear as to the applicant's 
methodology for calculating the average charge per case (unstandardized 
with case weight), as it appears the applicant multiplied the average 
charge per case (unstandardized with no case weight) by 5.6671 for the 
charges in MS-DRG 790, and by 3.8704 for the charges in MS-DRG 791.
    Although the applicant did not remove charges related to the 
technology being replaced, we note that the applicant stated that 
targeted fortification leads to a decreased length of stay (LOS) by 2.5 
days, and we question if charges should be removed to account for the 
decreased LOS for patients using this technology.
    We are also unclear as to the applicant's methodology for 
calculating the average standardized charge per case as the applicant 
used the same values from the average charge per case (unstandardized 
with case weight), which were the average charge per case 
(unstandardized with no case weight) multiplied by 5.6671 for the 
charges in MS-DRG 790, and by 3.8704 for the charges in MS-DRG 791.
    To calculate the inflated average standardized charge per case, the 
applicant applied an inflation factor of 1.04118 percent. We would be 
interested in additional information regarding the basis for using this 
inflation factor and how it corresponds to the source data and year 
used for the cost analysis.
    We note the applicant added direct and indirect charges related to 
the new technology. However, although the applicant identified a cost-
to-charge ratio of 0.36 for intensive inpatient admission days, it is 
unclear how this cost-to-charge ratio was used to convert costs for the 
technology and indirect costs to charges, and how these charges were 
calculated using the costs of the device itself or costs related to 
additional time for training or measuring milk.
    Therefore, because the applicant has not provided sufficient 
information as part of its cost analysis to demonstrate that the 
Emily's Care Nourish Test System (Model 1) meets the cost criterion, we 
are proposing to disapprove new technology add-on payments for the 
Emily's Care Nourish Test System (Model 1) for FY 2026. However, in the 
event we receive updated information to establish that the Emily's Care 
Nourish Test System (Model 1) meets the cost criterion, we are 
providing the following information regarding the new technology add-on 
payment.
    We note the applicant states that the technology, which received 
FDA clearance on May 3, 2024, is expected to be commercially available 
May 1, 2025, and we would appreciate more information about the cause 
for any delay in the commercial availability of the device following 
FDA clearance.
    We believe the relevant ICD-10-CM codes to identify the 
Breakthrough Device-designated indication for use of the technology in 
VLBW neonates and infants would be the following codes:

------------------------------------------------------------------------
          ICD-10-CM code                         Description
------------------------------------------------------------------------
P05.01............................  Newborn light for gestational age,
                                     less than 500 grams.
P05.02............................  Newborn light for gestational age,
                                     500-749 grams.
P05.03............................  Newborn light for gestational age,
                                     750-999 grams.
P05.04............................  Newborn light for gestational age,
                                     1,000-1,249 grams.
P05.05............................  Newborn light for gestational age,
                                     1,250-1,499 grams.
P05.11............................  Newborn small for gestational age,
                                     less than 500 grams.

[[Page 18176]]

 
P05.12............................  Newborn small for gestational age,
                                     500-749 grams.
P05.13............................  Newborn small for gestational age,
                                     750-999 grams.
P05.14............................  Newborn small for gestational age,
                                     1,000-1,249 grams.
P05.15............................  Newborn small for gestational age,
                                     1,250-1,499 grams.
P07.00............................  Extremely low birth weight newborn,
                                     unspecified weight.
P07.01............................  Extremely low birth weight newborn,
                                     less than 500 grams.
P07.02............................  Extremely low birth weight newborn,
                                     500-749 grams.
P07.03............................  Extremely low birth weight newborn,
                                     750-999 grams.
P07.14............................  Other low birth weight newborn,
                                     1,000-1,249 grams.
P07.15............................  Other low birth weight newborn,
                                     1,250-1,499 grams.
------------------------------------------------------------------------

    We are inviting public comments on the use of these ICD-10-CM 
diagnosis codes to identify the Breakthrough Device-designated 
indication for purposes of the new technology add-on payment, if 
approved.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost to the 
hospital for the Emily's Care Nourish Test System (Model 1) to be 
$3,000 per patient before discounts and $1,800 after discounts, based 
on the contents of the kit, which provides enough supplies for testing 
over a typical NICU stay (36 tests). The applicant stated the contents 
of the kit include: 36 test strips, pipettes, reference cards, 2 
control solutions, and a reusable lightbox (iPhone not included). The 
applicant also provided additional information on the costs for the 
annual use of the technology to the hospital of $25,000, consisting of 
$10,000 for the kit including the lease of the lightbox and iPhone, and 
$15,000 for the device's operation (labor, testing milk, analysis 
interpretation, adjustment of feeding protocols). However, we note that 
the costs to the hospital, per patient, per inpatient stay remains 
unclear, and that the provided costs also include additional costs 
related to use of the device as well as capital costs for the lease of 
the lightbox and iPhone.
    As we have discussed in prior rulemaking, when determining a new 
technology add-on payment, we provide payment based on the cost of the 
actual technology (such as the drug or device itself) and not for 
additional costs related to the use of the device (86 FR 45146). 
Therefore, we would not include costs of staff labor for the device's 
operation in the relevant costs for purposes of determining the new 
technology add-on payment amount.
    In addition, because section 1886(d)(5)(K)(i) of the Act requires 
that the Secretary establish a mechanism to recognize the costs of new 
medical services or technologies under the payment system established 
under that subsection, which establishes the system for payment of the 
operating costs of inpatient hospital services, we do not include 
capital costs in the add-on payments for a new medical service or 
technology or make new technology add-on payments under the IPPS for 
capital-related costs (86 FR 45145). The costs to lease the lightbox 
and iPhone are capital costs. As such, these components would not be 
eligible for new technology add-on payment because, as discussed in 
prior rulemaking and as noted, we only make new technology add-on 
payments for operating costs (72 FR 47307 through 47308).
    Without a breakdown of the costs of this technology to the 
hospital, per patient, per inpatient stay, for the operating components 
of the kit, we are unable to identify the relevant costs for purposes 
of determining the new technology add-on payment amount. In addition, 
the applicant had indicated that the cost of the device would be 
discounted to hospitals, and the Medicare program expects providers to 
take advantage of available discounts.\192\ It is unclear how potential 
discounts would affect the relevant estimated operating costs of the 
device. We would be interested in additional information regarding the 
current or anticipated average cost of the technology to the hospital 
per inpatient stay.
---------------------------------------------------------------------------

    \192\ Medicare Department of Health & Human Services (DHHS) 
Provider Reimbursement Manual Part 1--Chapter 8, Purchase Discounts; 
Allowances; Refunds of Expenses (Date: March 8, 2013) https://www.cms.gov/regulations-and-guidance/guidance/transmittals/downloads/r456pr1.pdf.
---------------------------------------------------------------------------

    We invite public comments on whether the Emily's Care Nourish Test 
System (Model 1) meets the cost criterion and our proposal to 
disapprove new technology add-on payments for the Emily's Care Nourish 
Test System (Model 1) for FY 2026. We also invite public comments on 
the operating costs for the device, in the event we receive updated 
information to establish that the Emily's Care Nourish Test System 
(Model 1) meets the cost criterion.
10. Esprit\TM\ BTK Everolimus Eluting Resorbable Scaffold System
    The following table summarizes the information provided in the new 
technology add-on payment application for the EspritTM BTK 
Everolimus Eluting Resorbable Scaffold System.
BILLING CODE 4120-01-P

[[Page 18177]]

[GRAPHIC] [TIFF OMITTED] TP30AP25.013


[[Page 18178]]


[GRAPHIC] [TIFF OMITTED] TP30AP25.014

BILLING CODE 4120-01-C
    After review of the information provided by the applicant, since 
the indication for which the applicant has received FDA marketing 
authorization is included within the scope of the Breakthrough Device 
designation indication, it appears that the FDA marketing authorization 
is appropriate for consideration for new technology add-on payment 
under the alternative pathway criteria.\193\
---------------------------------------------------------------------------

    \193\ Breakthrough Devices Program https://www.fda.gov/medical-devices/how-study-and-market-your-device/breakthrough-devices-program.
---------------------------------------------------------------------------

    We agree with the applicant that the EspritTM BTK 
Everolimus Eluting Resorbable Scaffold meets the cost criterion and are 
therefore proposing to approve the EspritTM BTK Everolimus 
Eluting Resorbable Scaffold for new technology add-on payments for FY 
2026 for the indication of improving luminal diameter in infrapopliteal 
lesions in patients with CLTI and total scaffolding length up to 170 mm 
with a reference vessel diameter of >=2.5 mm and <=4 mm.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost of the 
EspritTM BTK Everolimus Eluting Resorbable Scaffold to the 
hospital to be $6,000 per patient. According to the applicant, the 
costs of the technology include the EspritTM BTK Scaffold 
($2,750) and the EspritTM BTK Delivery System ($250). The 
applicant stated that per the IDE Clinical Study, on average two 
EspritTM BTK Everolimus Eluting Resorbable Scaffolds were 
used per patient. We note that the cost information for this technology 
may be updated in the final rule based on revised or additional 
information CMS receives prior to the final rule. Under Sec.  
412.88(a)(2), we limit new technology add-on payments to the lesser of 
65 percent of the average cost of the technology, or 65 percent of the 
costs in excess of the MS-DRG payment for the case. As a result, we are 
proposing that the maximum new technology add-on payment for a case 
involving the use of the EspritTM BTK Everolimus Eluting 
Resorbable Scaffold would be $3,900 for FY 2026 (that is, 65 percent of 
the average cost of the technology).
    We invite public comments on whether the EspritTM BTK 
Everolimus Eluting Resorbable Scaffold meets the cost criterion and our 
proposal to approve new technology add-on payments for the 
EspritTM BTK Everolimus Eluting Resorbable Scaffold for FY 
2026.
11. EUROPA\TM\ Posterior Cervical Fusion System
    The following table summarizes the information provided in the new 
technology add-on payment application for the EUROPATM 
Posterior Cervical Fusion System.
BILLING CODE 4120-01-P

[[Page 18179]]

[GRAPHIC] [TIFF OMITTED] TP30AP25.015

BILLING CODE 4120-01-C
    After review of the information provided by the applicant, since 
the indication for which the applicant has received FDA marketing 
authorization is

[[Page 18180]]

included within the scope of the Breakthrough Device designation 
indication, it appears that the FDA marketing authorization is 
appropriate for consideration for new technology add-on payment under 
the alternative pathway criteria.
    According to the applicant, the technology, which received FDA 
clearance on November 19, 2024, is not yet available for sale due to 
project timelines. The applicant stated that the technology is not 
expected to be commercially available until the fourth quarter of 2025. 
We are interested in additional information regarding the cause of any 
delay in the technology's market availability.
    We agree with the applicant that the EUROPATM Posterior 
Cervical Fusion System meets the cost criterion and are therefore 
proposing to approve the EUROPATM Posterior Cervical Fusion 
System for new technology add-on payments for FY 2026, to provide 
immobilization and stabilization of spinal segments as an adjunct to 
fusion for the acute and chronic instabilities of the cervical spine 
(Cl to C7) and the upper thoracic spine (T1 to T3) listed in both the 
Breakthrough Device designation and FDA clearance letter.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost of the 
EUROPATM Posterior Cervical Fusion System to the hospital to 
be $123,920 per patient. According to the applicant, there are 
approximately 374 different components associated with the technology, 
including Pedicle Screws, Set Screws, Rods, and Connectors, all of 
which are operating costs and new components. The applicant stated that 
the majority of posterior cervical fusion procedures are inpatient 
Medicare procedures in most hospitals, but there may be exceptions 
based on individual clinical practice. Per the applicant, most of these 
procedures are C1-T3 or C2-T3 with some exceptions being 2-3 levels. 
The applicant calculated the total cost based on the unit prices of the 
implants used in a construct (Rod $9,000.00; Pedicle Screw $5,000.00; 
Smooth Shank Screw $5,000.00; Set Screw $500.00; Connector $4,000.00), 
weighted by the length of the construct (1- through 9-level), and the 
percentage of those procedures across different levels of fusion (10 
percent for 2- through 4-level; 90 percent for 5 or more levels). We 
note that the cost information for this technology may be updated in 
the final rule based on revised or additional information CMS receives 
prior to the final rule. Under Sec.  412.88(a)(2)(ii)(B), we limit new 
technology add-on payments to the lesser of 65 percent of the average 
cost of the technology, or 65 percent of the costs in excess of the MS-
DRG payment for the case. As a result, we are proposing that the 
maximum new technology add-on payment for a case involving the use of 
the EUROPATM Posterior Cervical Fusion System would be 
$80,548 for FY 2026 (that is, 65 percent of the average cost of the 
technology).
    We invite public comments on whether the EUROPATM 
Posterior Cervical Fusion System meets the cost criterion and our 
proposal to approve new technology add-on payments for the 
EUROPATM Posterior Cervical Fusion System for FY 2026.
12. iFuse TORQ TNTTM Implant System
    The following table summarizes the information provided in the new 
technology add-on payment application for the iFuse TORQ 
TNTTM Implant System.
BILLING CODE 4120-01-P

[[Page 18181]]

[GRAPHIC] [TIFF OMITTED] TP30AP25.016


[[Page 18182]]


[GRAPHIC] [TIFF OMITTED] TP30AP25.017

BILLING CODE 4120-01-C
    After review of the information provided by the applicant, we note 
that under the eligibility criteria for approval under the alternative 
pathway for certain transformative devices, only the use of the 
technology for the indication that corresponds to the technology's 
Breakthrough Device designation would be eligible for the new 
technology add-on payment for FY 2026. As noted by the applicant, the 
FDA clearance describes an additional indication for sacroiliac joint 
fusion for augmenting immobilization and stabilization of the 
sacroiliac joint in skeletally mature patients undergoing sacropelvic 
fixation as part of a lumbar or thoracolumbar fusion, which is not 
included in the Breakthrough Device designation. Therefore, it appears 
that this indication is not relevant for purposes of the new technology 
add-on payment application for FY 2026.
    Please see Table 10.2.--iFuse TORQ TNTTM Implant System 
associated with this proposed rule for the list of ICD-10-PCS procedure 
codes that we believe would be appropriate to exclude when reported in 
combination with use of the iFuse TORQ TNTTM Implant System. 
We are inviting public comments on the exclusion of cases reporting 
these ICD-10-PCS procedure codes in combination with the procedure 
codes that identify use of the iFuse TORQ TNTTM Implant 
System for augmenting immobilization and stabilization of the 
sacroiliac joint in skeletally mature patients undergoing sacropelvic 
fixation as part of a lumbar or thoracolumbar fusion, which would not 
be eligible for new technology add-on payment, if approved.
    We agree with the applicant that the iFuse TORQ TNTTM 
Implant System meets the cost criterion and are therefore proposing to 
approve the iFuse TORQ TNTTM Implant System for new 
technology add-on payments for FY 2026 when used for fracture fixation 
of the pelvis, including acute, non-acute and nontraumatic fractures 
and sacroiliac joint fusion for sacroiliac joint dysfunction including 
sacroiliac joint disruption and degenerative sacroiliitis.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost of the 
iFuse TORQ TNTTM Implant System to the hospital to be $6,573 
per patient. The applicant stated that the iFuse TORQ TNTTM 
Implant System includes the operating unit costs of the TNT Implant 
($3,150), Drill Bit ($200), Guide Pin ($100), Blunt Pin ($100), and 
Washer ($50). The applicant estimated the average number of each 
component used per case for pelvic fixation and sacroiliac joint fusion 
cases separately, and calculated the costs of the new technology by 
multiplying the component costs by the average number of components 
used per case. The applicant used internal sales data to estimate the 
percentages of pelvic fixation (80 percent) and sacroiliac joint (20 
percent) fusion cases in an average hospital. The applicant then 
calculated the total cost of the iFuse TORQ TNTTM Implant 
System to the hospital by taking the weighted average of the cost per 
pelvic fixation case and cost per sacroiliac joint fusion case.
    It appears that the TNT Implant and Washers are components of the 
Breakthrough device. However, the Drill Bit, Guide Pin, and Blunt Pin 
are instrumentation used for the implantation of the TNT Implant. As we 
have discussed in prior rulemaking, when determining a new technology 
add-on payment, we provide payment based on the cost of the actual 
technology (such as the drug or device itself) and not for additional 
costs related to the use of the device (86 FR 45146). It appears that 
the cost of the instrumentation (the Drill Bit, Guide Pin, and Blunt 
Pin) are costs related to the use of the technology, rather than a cost 
of the technology itself. In addition, it is not clear if the Drill 
Bit, Guide Pin, and Blunt Pin are new and unique components for this 
technology, or if they may be reused and/or may be purchased separately 
in support of other technologies. Therefore, it appears any add-on 
payment for the iFuse TORQ TNTTM Implant System would 
include only the weighted average cost per pelvic fixation case and 
cost per

[[Page 18183]]

sacroiliac joint fusion case of the TNT Implant and Washers ($6,093).
    We note that the cost information for this technology may be 
updated in the final rule based on revised or additional information 
CMS receives prior to the final rule. Under Sec.  412.88(a)(2), we 
limit new technology add-on payments to the lesser of 65 percent of the 
average cost of the technology, or 65 percent of the costs in excess of 
the MS-DRG payment for the case. As a result, we are proposing that the 
maximum new technology add-on payment for a case involving the use of 
the iFuse TORQ TNTTM Implant System would be $3,960.45 for 
FY 2026 (that is, 65 percent of the average cost of the technology).
    We invite public comments on whether the iFuse TORQ 
TNTTM Implant System meets the cost criterion and our 
proposal to approve new technology add-on payments for the iFuse TORQ 
TNTTM Implant System for FY 2026.
13. Merit Wrapsody[supreg] Cell Impermeable Endoprosthesis (CIE)
    The following table summarizes the information provided in the new 
technology add-on payment application for the Merit Wrapsody[supreg] 
Cell Impermeable Endoprosthesis (CIE).
BILLING CODE 4120-01-P

[[Page 18184]]

[GRAPHIC] [TIFF OMITTED] TP30AP25.018


[[Page 18185]]


[GRAPHIC] [TIFF OMITTED] TP30AP25.019

BILLING CODE 4120-01-C
    After review of the information provided by the applicant, since 
the indication for which the applicant received PMA approval from FDA 
is included within the scope of the Breakthrough Device designation 
indication, it appears that the FDA-approved indication is appropriate 
for consideration for new technology add-on payment under the 
alternative pathway criteria.
    We note that the application stated that commercialization of the 
device was initiated on January 2, 2025, with 3 purchase orders in 3 
days. We are interested in additional information regarding any delay 
in commercial availability between its FDA approval on December 19, 
2024, and the date commercialization was initiated, including if the 
device was available for sale prior to January 2, 2025.
    We agree with the applicant that the Merit Wrapsody[supreg] CIE 
meets the cost criterion and are therefore proposing to approve the 
Merit Wrapsody[supreg] CIE for new technology add-on payments for FY 
2026, for use in hemodialysis patients for the treatment of stenosis or 
occlusion within the dialysis access outflow circuit, including 
stenosis or occlusion in the peripheral veins of individuals with an AV 
fistula or at the venous anastomosis of a synthetic AV graft.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the cost of the Merit 
Wrapsody[supreg] CIE to the hospital to be $5,800 per patient, 
inclusive of all components and accessories. The applicant also 
provided an additional cost for operating room time because the 
facility operation room time may be 8-12 minutes greater than similar 
current procedures. However, as discussed in prior rulemaking, when 
determining a new technology add-on payment, we provide payment based 
on the cost of the actual technology (such as the drug or device 
itself) and not for additional costs related to the use of the device, 
such as the ongoing use of the device including maintenance and 
processing fees. For example, if a technology required an extra hour of 
operating room time, or reduced the amount of procedure time, we would 
neither add nor deduct costs based on this, and would only consider the 
actual cost of the technology at the time of purchase in our 
determination of the add-on payment (86 FR 45146).
    We note that the cost information for this technology may be 
updated in the final rule based on revised or additional information 
CMS receives prior to the final rule. Under Sec.  412.88(a)(2), we 
limit new technology add-on payments to the lesser of 65 percent of the 
average cost of the technology, or 65 percent of the costs in excess of 
the MS-DRG payment for the case. As a result, we are proposing that the 
maximum new technology add-on payment for a case involving the use of 
the Merit Wrapsody[supreg] CIE would be $3,770 for FY 2026 (that is, 65 
percent of the average cost of the technology).
    We invite public comments on whether the Merit Wrapsody[supreg] CIE 
meets the cost criterion and our proposal to approve new technology 
add-on payments for the Merit Wrapsody[supreg] CIE for FY 2026.
14. Minima Stent System
    The following table summarizes the information provided in the new 
technology add-on payment application for the Minima Stent System.
BILLING CODE 4120-01-P

[[Page 18186]]

[GRAPHIC] [TIFF OMITTED] TP30AP25.020

BILLING CODE 4120-01-C
    After review of the information provided by the applicant, since 
the indication for which the applicant received PMA approval from FDA 
is included within the scope of the Breakthrough Device designation 
indication, it appears that the FDA-approved indication is appropriate 
for consideration for new technology add-on payment under the 
alternative pathway criteria.\194\
---------------------------------------------------------------------------

    \194\ Breakthrough Devices Program https://www.fda.gov/medical-devices/how-study-and-market-your-device/breakthrough-devices-program.
---------------------------------------------------------------------------

    With respect to the cost criterion, we note that the applicant 
identified 6 relevant MS-DRGs using 8 ICD-10-PCS codes that most 
closely resemble the procedure to insert and/or dilate the great 
vessels using the Minima Stent System. Per the applicant, the Minima 
Stent System is used in the pediatric population and no cases appear in 
Medicare data; therefore, the applicant used CY 2022 and CY 2023 
Medicare charge and discharge data accessed via Definitive Healthcare 
as well as data from the AOR/BOR File published as part of the FY 2025 
IPPS/LTCH PPS final rule, correction notice and interim final action 
with comment period Data and Supplemental Files and FY 2023 IPPS/LTCH 
PPS final rule and correcting amendment files. However, we question 
whether using the total charges for the Medicare claims within the 6 
identified MS-DRGs would provide an accurate estimate for eligible 
cases in a pediatric patient population where the Minima Stent System 
would be used.
    Subject to the applicant adequately addressing this concern, we 
would agree that the technology meets the cost criterion and are 
proposing to approve the Minima Stent System for new technology add-on 
payments for FY 2026 for use in the treatment of native or acquired 
pulmonary artery stenoses or coarctation of the aorta in neonates, 
infants, and children at least 1.5 kg in weight.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost of the 
Minima Stent

[[Page 18187]]

System to the hospital to be $34,900 per patient. Per the applicant, 
total cost per inpatient stay was calculated based on the assumption 
that only one unit will be used per patient for each inpatient stay. We 
note that the cost information for this technology may be updated in 
the final rule based on revised or additional information CMS receives 
prior to the final rule. Under Sec.  412.88(a)(2), we limit new 
technology add-on payments to the lesser of 65 percent of the average 
cost of the technology, or 65 percent of the costs in excess of the MS-
DRG payment for the case. As a result, we are proposing that the 
maximum new technology add-on payment for a case involving the use of 
the Minima Stent System would be $22,685 for FY 2026 (that is, 65 
percent of the average cost of the technology).
    We invite public comments on whether the Minima Stent System meets 
the cost criterion and our proposal to approve new technology add-on 
payments for the Minima Stent System for FY 2026.
15. MY01 Continuous Compartmental Pressure Monitor
    The following table summarizes the information provided in the new 
technology add-on payment application for the MY01 Continuous 
Compartmental Pressure Monitor.
BILLING CODE 4120-01-P

[[Page 18188]]

[GRAPHIC] [TIFF OMITTED] TP30AP25.021


[[Page 18189]]


[GRAPHIC] [TIFF OMITTED] TP30AP25.022

BILLING CODE 4120-01-C
    After review of the information provided by the applicant, since 
the indication for which the applicant has received FDA marketing 
authorization is included within the scope of the Breakthrough Device 
designation indication, it appears that the FDA marketing authorization 
is appropriate for consideration for new technology add-on payment 
under the alternative pathway criteria.\195\
---------------------------------------------------------------------------

    \195\ Breakthrough Devices Program https://www.fda.gov/medical-devices/how-study-and-market-your-device/breakthrough-devices-program.
---------------------------------------------------------------------------

    According to the applicant, the MY01 Mobile Application is not yet 
available for use because the applicant is completing final testing of 
the application before it is available for download. We are interested 
in additional information on when the MY01 Continuous Compartmental 
Pressure Monitor, which is the subject of this new technology add-on 
payment application, became available for sale.
    We agree with the applicant that the MY01 Continuous Compartmental 
Pressure Monitor meets the cost criterion and are therefore proposing 
to approve the MY01 Continuous Compartmental Pressure Monitor for new 
technology add-on payments for FY 2026, for real-time and continuous 
measurement of the muscle compartment pressure.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost of the 
MY01 Continuous Compartmental Pressure Monitor to the hospital to be 
$3,250 per patient. Per the applicant, only one device is used per 
inpatient stay, and the companion MY01 Mobile Application is provided 
at no additional cost for any physician registered to use the device. 
We note that the cost information for this technology may be updated in 
the final rule based on revised or additional information CMS receives 
prior to the final rule. Under Sec.  412.88(a)(2), we limit new 
technology add-on payments to the lesser of 65 percent of the average 
cost of the technology, or 65 percent of the costs in excess of the MS-
DRG payment for the case. As a result, we are proposing that the 
maximum new technology add-on payment for a case involving the use of 
the MY01 Continuous Compartmental Pressure Monitor would be $2,112.50 
for FY 2026 (that is, 65 percent of the average cost of the 
technology).
    We invite public comments on whether the MY01 Continuous 
Compartmental Pressure Monitor meets the cost criterion and our 
proposal to approve new technology add-on payments for the MY01 
Continuous Compartmental Pressure Monitor for FY 2026.
16. Nelli Seizure Monitoring System
    The following table summarizes the information provided in the new 
technology add-on payment application for the Nelli Seizure Monitoring 
System. We note that Neuro Event Labs, Inc. submitted an application 
for new technology add-on payments for the Nelli Seizure Monitoring 
System for FY 2023, as summarized in the FY 2023 IPPS/LTCH PPS proposed 
rule (87 FR 28341 through 28342), but the technology did not meet the 
applicable deadline for FDA approval or clearance of the technology 
and, therefore, was not eligible for consideration for new technology 
add-on payments for FY 2023 (87 FR 48960). We note that the applicant 
also submitted an application for new technology add-on payments for FY 
2024, as summarized in the FY 2024 IPPS/LTCH PPS proposed rule (88 FR 
26940 through 26942), that it withdrew prior to the issuance of the FY 
2024 IPPS/LTCH PPS final rule (88 FR 58919).
BILLING CODE 4120-01-P

[[Page 18190]]

[GRAPHIC] [TIFF OMITTED] TP30AP25.023

BILLING CODE 4120-01-C
    After review of the information provided by the applicant, we agree 
with the applicant that the Nelli Seizure Monitoring System meets the 
cost

[[Page 18191]]

criterion and are therefore proposing to approve the Nelli Seizure 
Monitoring System for new technology add-on payments for FY 2026, 
subject to the technology receiving FDA marketing authorization for the 
indication corresponding to the Breakthrough Device designation by May 
1, 2025.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost of the 
Nelli Seizure Monitoring System to the hospital to be $1,000 per 
patient for the cost of the analysis during the hospital visit. We note 
that the cost information for this technology may be updated in the 
final rule based on revised or additional information CMS receives 
prior to the final rule. Under Sec.  412.88(a)(2), we limit new 
technology add-on payments to the lesser of 65 percent of the average 
cost of the technology, or 65 percent of the costs in excess of the MS-
DRG payment for the case. As a result, we are proposing that the 
maximum new technology add-on payment for a case involving the use of 
the Nelli Seizure Monitoring System would be $650 for FY 2026 (that is, 
65 percent of the average cost of the technology).
    We invite public comments on whether the Nelli Seizure Monitoring 
System meets the cost criterion and our proposal to approve new 
technology add-on payments for the Nelli Seizure Monitoring System for 
FY 2026, subject to the technology receiving FDA marketing 
authorization for the indication corresponding to the Breakthrough 
Device designation by May 1, 2025.
17. Positive Blood Culture (PBC) Separator With Selux AST System
    The following table summarizes the information provided in the new 
technology add-on payment application for the PBC Separator with Selux 
AST System. We note that Selux Diagnostics, Inc. submitted an 
application for new technology add-on payments for the PBC Separator 
with Selux AST System for FY 2024 under the name Selux NGP System, as 
summarized in the FY 2024 IPPS/LTCH PPS proposed rule (88 FR 26946 
through 26949), that it withdrew prior to the issuance of the FY 2024 
IPPS/LTCH PPS final rule (88 FR 58919).
BILLING CODE 4120-01-P

[[Page 18192]]

[GRAPHIC] [TIFF OMITTED] TP30AP25.024


[[Page 18193]]


[GRAPHIC] [TIFF OMITTED] TP30AP25.025

BILLING CODE 4120-01-C
    After review of the information provided by the applicant, since 
the indication for which the applicant received 510(k) clearance from 
FDA is included within the scope of the Breakthrough Device designation 
indication, it appears that the FDA-cleared indication is appropriate 
for consideration for new technology add-on payment under the 
alternative pathway criteria.
    We agree with the applicant that the PBC Separator with Selux AST 
System meets the cost criterion and are therefore proposing to approve 
the PBC Separator with Selux AST System for new technology add-on 
payments for FY 2026 for use as an automated inoculum preparation 
system that uses lysis, centrifugation and sequential optical density 
measurements to generate a McFarland equivalent suspension from 
positive blood culture samples that can be used for quantitative in 
vitro AST by the Selux AST System.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost of the PBC 
Separator with Selux AST System to the hospital to be $135.04 per 
patient. Per the applicant, the cost per patient includes $80 for the 
Selux AST Gram Negative and Selux AST Gram Positive AST Kit, $50 for 
the Selux AST Positive Blood Culture Kit, $4.79 for the Selux AST 
Analyzer Reagent Kit, and $0.25 for the Selux AST Waste Kit.
    We note that according to the applicant, the Selux AST System has 
been granted multiple previous FDA clearances for a different 
indication and sample type.\196\ However, per the applicant, the 
Breakthrough Device designation is for the Selux Positive Blood Culture 
Separator and Selux [AST] System. The previous FDA clearances for the 
Selux AST System were not considered Breakthrough Devices. Therefore, 
it appears that the components of the Selux AST System, including the 
Selux AST Gram Negative and Selux AST Gram Positive AST Kit, Selux AST 
Analyzer Reagent Kit, and Selux AST Waste Kit are eligible for new 
technology add-on payment only when used in conjunction with the PBC 
Separator on positive blood culture samples. We further note that the 
Selux AST System first received FDA 510(k) clearance on January 18, 
2023, and therefore the components of the Selux AST System would still 
be new for FY 2026.
---------------------------------------------------------------------------

    \196\ https://www.accessdata.fda.gov/cdrh_docs/pdf21/K211759.pdf 
and https://www.accessdata.fda.gov/cdrh_docs/pdf21/K211748.pdf.
---------------------------------------------------------------------------

    We note that the cost information for this technology may be 
updated in the final rule based on revised or additional information 
CMS receives prior to the final rule. Under Sec.  412.88(a)(2) we limit 
new technology add-on payments to the lesser of 65 percent of the 
average cost of the technology, or 65 percent of the costs in excess of 
the MS-DRG payment for the case. As a result, we are proposing that the 
maximum new technology add-on payment for a case involving the use of 
the PBC Separator with Selux AST System would be $87.78 for FY 2026 
(that is, 65 percent of the average cost of the technology).
    We invite public comments on whether the PBC Separator with Selux 
AST System meets the cost criterion and our proposal to approve new 
technology add-on payments for the PBC Separator with Selux AST System 
for FY 2026.
18. PearlMatrix P-15 Peptide Enhanced Bone Graft
    The following table summarizes the information provided in the new 
technology add-on payment application for the PearlMatrix P-15 Peptide 
Enhanced Bone Graft.
BILLING CODE 4120-01-P

[[Page 18194]]

[GRAPHIC] [TIFF OMITTED] TP30AP25.026

BILLING CODE 4120-01-C
    After review of the information provided by the applicant, we agree 
with the applicant that the PearlMatrix P-15 Peptide Enhanced Bone 
Graft

[[Page 18195]]

meets the cost criterion and are therefore proposing to approve the 
PearlMatrix P-15 Peptide Enhanced Bone Graft for new technology add-on 
payments for FY 2026, subject to the technology receiving FDA marketing 
authorization for the indication corresponding to the Breakthrough 
Device designation by May 1, 2025.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost of the 
PearlMatrix P-15 Peptide Enhanced Bone Graft to the hospital to be 
$6,500 per patient, for one 10 cc kit used per inpatient stay. The 
applicant provided the following cost breakdown of each component: bone 
graft peptide ($3,120 operating cost and $780 capital cost), porcine 
anorganic bone mineral ($780 operating cost and $195 capital cost), and 
fibrous collagen matrix ($1,300 operating cost and $325 capital cost). 
Because section 1886(d)(5)(K)(i) of the Act requires that the Secretary 
establish a mechanism to recognize the costs of new medical services or 
technologies under the payment system established under that 
subsection, which establishes the system for payment of the operating 
costs of inpatient hospital services, we do not include capital costs 
in the add-on payments for a new medical service or technology or make 
new technology add-on payments under the IPPS for capital-related costs 
(86 FR 45145). As noted, the applicant stated, there are capital costs 
of $1,300 for the bone graft peptide, porcine anorganic bone mineral, 
and fibrous collagen matrix. Therefore, it appears that these costs are 
not eligible for new technology add-on payment because, as discussed in 
prior rulemaking and as noted, we only make new technology add-on 
payments for operating costs (72 FR 47307 through 47308). We note that 
any new technology add-on payment for the PearlMatrix P-15 Peptide 
Enhanced Bone Graft would include only the operating costs of $5,200 
for the bone graft peptide, porcine anorganic bone mineral, and fibrous 
collagen matrix. We note that the cost information for this technology 
may be updated in the final rule based on revised or additional 
information CMS receives prior to the final rule. Any new technology 
add-on payment for the PearlMatrix P-15 Peptide Enhance Bone Graft 
would be subject to our policy under Sec.  412.88(a)(2) where we limit 
new technology add-on payment to the lesser of 65 percent of the 
average cost of the technology, or 65 percent of the costs in excess of 
the MS-DRG payment for the case. As a result, we are proposing that the 
maximum new technology add-on payment for a case involving the use of 
the PearlMatrix P-15 Peptide Enhanced Bone Graft would be $3,380 for FY 
2026 (that is, 65 percent of the average cost of the technology).
    We invite public comments on whether the PearlMatrix P-15 Peptide 
Enhanced Bone Graft meets the cost criterion and our proposal to 
approve new technology add-on payments for the PearlMatrix P-15 Peptide 
Enhanced Bone Graft for FY 2026, subject to the technology receiving 
FDA marketing authorization for the indication corresponding to the 
Breakthrough Device designation by May 1, 2025.
19. Provizio[supreg] SEM Scanner
    The following table summarizes the information provided in the new 
technology add-on payment application for the Provizio[supreg] SEM 
Scanner.
BILLING CODE 4120-01-P

[[Page 18196]]

[GRAPHIC] [TIFF OMITTED] TP30AP25.027

BILLING CODE 4120-01-C
    After review of the information provided by the applicant, we agree 
with the applicant that the Provizio[supreg] SEM Scanner meets the cost 
criterion and are therefore proposing to approve the Provizio[supreg] 
SEM Scanner for new technology add-on payments for FY 2026, subject to 
the technology receiving FDA marketing authorization for the indication 
corresponding to the Breakthrough Device designation by May 1, 2025.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost of the 
Provizio[supreg] SEM Scanner to the hospital to be $631.84 per patient, 
based on the cost of the

[[Page 18197]]

Single-Use Disposable Provizio[supreg] SEM Sensor ($17.95) with a two-
scan frequency per day, and an anticipated average length of stay (LOS) 
of 17.6 days. Per the applicant, the average LOS was determined by 
analyzing the FY2023 MedPAR data, and the weighted average LOS for all 
MS-DRGs (765 DRGs) was 5.1 days. According to the applicant, the 
average LOS for MS-DRGs (444 MS-DRGs) with patients who developed 
sacral and heel pressure ulcers (PUs) during the stay was 24.9 days, 
and the average LOS for the same MS-DRGs for cases without PUs was 10.3 
days. The applicant expected that the LOS for these MS-DRGs would be 
reduced from 24.9 to 10.3 days for patients using the device. The 
applicant noted that the MedPAR data describes the number of cases with 
PUs, and that it is possible that individual patients may have multiple 
PUs, such as at the sacrum and heel. Per the applicant, in these cases, 
the scanner would be used on the remaining anatomies at risk of PUs 
through the average LOS of 24.9 days. Per the applicant, the midpoint 
between the average LOS for cases without PUs and cases with PUs is 
17.6 days. We note that the cost information for this technology may be 
updated in the final rule based on revised or additional information 
CMS receives prior to the final rule. Any new technology add-on payment 
for the Provizio[supreg] SEM Scanner would be subject to our policy 
under Sec.  412.88(a)(2) where we limit new technology add-on payment 
to the lesser of 65 percent of the average cost of the technology, or 
65 percent of the costs in excess of the MS-DRG payment for the case. 
As a result, we are proposing that the maximum new technology add-on 
payment for a case involving the use of the Provizio[supreg] SEM 
Scanner would be $410.70 for FY 2026 (that is, 65 percent of the 
average cost of the technology).
    We invite public comments on whether the Provizio[supreg] SEM 
Scanner meets the cost criterion and our proposal to approve new 
technology add-on payments for the Provizio[supreg] SEM Scanner for FY 
2026, subject to the technology receiving FDA marketing authorization 
for the indication corresponding to the Breakthrough Device designation 
by May 1, 2025.
20. RECELL[supreg] Autologous Cell Harvesting Device
    The following table summarizes the information provided in the new 
technology add-on payment application for the RECELL[supreg] Autologous 
Cell Harvesting Device.
BILLING CODE 4120-01-P

[[Page 18198]]

[GRAPHIC] [TIFF OMITTED] TP30AP25.028


[[Page 18199]]


[GRAPHIC] [TIFF OMITTED] TP30AP25.029

BILLING CODE 4120-01-C
    After review of the information provided by the applicant, we note 
that the RECELL[supreg] Autologous Cell Harvesting Device is also 
indicated for acute partial-thickness thermal burn wounds and acute 
full-thickness thermal burn wounds. However, we note that under the 
eligibility criteria for approval under the alternative pathway for 
certain transformative devices, only the use of the technology for the 
indication that corresponds to the technology's Breakthrough Device 
designation would be eligible for the new technology add-on payment for 
FY 2026. Therefore, only the use of the RECELL[supreg] Autologous Cell 
Harvesting Device for acute nonthermal full thickness skin wounds after 
traumatic avulsion, surgical excision (for example, necrotizing soft 
tissue infection), or resection (for example, skin cancer), and the FDA 
Breakthrough Device designation it received for those uses, are 
relevant for purposes of the new technology add-on payment application 
for FY 2026.
    Please see Table 10.1.A.-RECELL[supreg] Autologous Cell Harvesting 
Device associated with this proposed rule for the list of relevant ICD-
10-CM diagnosis codes that we believe would identify the Breakthrough 
Device-designated indication of acute nonthermal full thickness skin 
wounds after traumatic avulsion. Please see Table 10.1.B.-
RECELL[supreg] Autologous Cell Harvesting Device associated with this 
proposed rule for the list of relevant ICD-10-PCS procedure codes that 
we believe would be appropriate to report in combination with use of 
the RECELL[supreg] Autologous Cell Harvesting Device to identify use of 
the technology for the Breakthrough Device-designated indication of 
acute nonthermal full thickness skin wounds after surgical excision 
(for example, necrotizing soft tissue infection) or resection (for 
example, skin cancer). We are inviting public comments on the use of 
these ICD-10-CM diagnosis and ICD-10-PCS procedure codes to identify 
use of the technology for the Breakthrough Device-designated 
indications for purposes of the new technology add-on payment, if 
approved.
    We agree with the applicant that the RECELL[supreg] Autologous Cell 
Harvesting Device meets the cost criterion and are therefore proposing 
to approve the RECELL[supreg] Autologous Cell Harvesting Device for new 
technology add-on payments for FY 2026, when used in combination with 
meshed autografting for acute full-thickness thermal burn wounds in 
pediatric and adult patients and full-thickness skin defects after 
traumatic avulsion (for example, degloving) or surgical excision (for 
example, necrotizing soft tissue infection) or resection (for example, 
skin cancer).
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost of the 
RECELL[supreg] Autologous Cell Harvesting Device to the hospital to be 
$7,500 per device. The applicant estimated that, on average, one device 
is used per inpatient stay for patients with a full-thickness skin 
defect. We note that the cost information for this technology may be 
updated in the final rule based on revised or additional information 
CMS receives prior to the final rule. Under Sec.  412.88(a)(2), we 
limit new technology add-on payments to the lesser of 65 percent of the 
average cost of the technology, or 65 percent of the costs in excess of 
the MS-DRG payment for the case. As a result, we are proposing that the 
maximum new technology add-on payment for a case involving the use of 
the RECELL[supreg] Autologous Cell Harvesting Device would be $4,875 
for FY 2026 (that is, 65 percent of the average cost of the 
technology).
    We invite public comments on whether the RECELL[supreg] Autologous 
Cell Harvesting Device meets the cost criterion and our proposal to 
approve new technology add-on payments for the RECELL[supreg] 
Autologous Cell Harvesting Device for FY 2026.
21. Restor3d TIDALTM Fusion Cage
    The following table summarizes the information provided in the new

[[Page 18200]]

technology add-on payment application for the restor3d 
TIDALTM Fusion Cage. We note that restor3d submitted an 
application for new technology add-on payments for the restor3d 
TIDALTM Fusion Cage for FY 2025, as summarized in the FY 
2025 IPPS/LTCH PPS proposed rule (89 FR 36124 through 36125), that it 
withdrew prior to the issuance of the FY 2025 IPPS/LTCH PPS final rule 
(89 FR 69204).
BILLING CODE 4120-01-P

[[Page 18201]]

[GRAPHIC] [TIFF OMITTED] TP30AP25.030

BILLING CODE 4120-01-C
    After review of the information provided by the applicant, we agree 
with the applicant that the restor3d TIDALTM Fusion Cage 
meets the cost criterion and are therefore proposing to approve the 
restor3d TIDALTM Fusion

[[Page 18202]]

Cage for new technology add-on payments for FY 2026 subject to the 
technology receiving FDA marketing authorization for the indication 
corresponding to the Breakthrough Device designation by May 1, 2025.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the cost of the restor3d 
TIDALTM Fusion Cage to the hospital to be $27,995 per 
patient. In addition, the applicant noted the costs related to the 
technology for required supporting instruments and materials consist of 
one unit each of the Instrument Kit ($6,995), TTC Fusion Nail ($7,500), 
and Graft Material ($1,500). The applicant estimated the total cost to 
the hospital to be $43,990 for each procedure per patient, including 
the related cost of the technology. As we discussed in the FY 2025 
IPPS/LTCH PPS proposed rule (89 FR 36125) and in prior rulemaking, when 
determining a new technology add-on payment, we provide payment based 
on the cost of the actual technology (such as the drug or device 
itself) and not for additional costs related to the use of the device 
(86 FR 45146). Based on the information provided by the applicant, the 
cost of the Instrument Kit is included in the costs of the supporting 
instruments and materials for each procedure related to the use of the 
technology, rather than the cost of the technology itself. In addition, 
it appears that the TTC Fusion Nail and Bone Graft are not new and 
unique components for this technology and can be purchased separately 
in support of other technologies. Furthermore, we note that the 
Instrument Kit is not included in the Breakthrough Device designation, 
and it therefore appears that only the restor3d TIDALTM 
Fusion Cage would be designated as the Breakthrough Device once market 
authorized and would be eligible for new technology add-on payments 
under the alternative pathway. Therefore, it appears any add-on payment 
for the restor3d TIDALTM Fusion Cage would include only the 
cost of the restor3d TIDALTM Fusion Cage ($27,995).
    We note that the cost information for this technology may be 
updated in the final rule based on revised or additional information 
CMS receives prior to the final rule. Under Sec.  412.88(a)(2), we 
limit new technology add-on payments to the lesser of 65 percent of the 
average cost of the technology, or 65 percent of the costs in excess of 
the MS-DRG payment for the case. As a result, we are proposing that the 
maximum new technology add-on payment for a case involving the use of 
the restor3d TIDALTM Fusion Cage would be $18,196.75 for FY 
2026 (that is, 65 percent of the average cost of the technology).
    We invite public comments on whether the restor3d 
TIDALTM Fusion Cage meets the cost criterion and our 
proposal to approve new technology add-on payments for the restor3d 
TIDALTM Fusion Cage for FY 2026, subject to the technology 
receiving FDA marketing authorization for the indication corresponding 
to the Breakthrough Device designation by May 1, 2025.
22. ShortCutTM
    The following table summarizes the information provided in the new 
technology add-on payment application for the ShortCutTM.
BILLING CODE 4120-01-P

[[Page 18203]]

[GRAPHIC] [TIFF OMITTED] TP30AP25.031

BILLING CODE 4120-01-C
    After review of the information provided by the applicant, we agree 
with the applicant that the ShortCutTM meets the cost 
criterion and are therefore proposing to approve the 
ShortCutTM for new technology add-on payments for FY 2026 
for use as a splitting device of bioprosthetic aortic valve leaflets to 
facilitate valve-in-valve procedures for patients at risk for coronary 
obstruction.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost of the 
ShortCutTM to the hospital to be $15,000 per patient. We 
note that the cost information for this technology may be updated in 
the final rule based on revised or additional information CMS receives 
prior to the final rule. Under Sec.  412.88(a)(2), we limit new 
technology add-on payments to the lesser of 65 percent of the average 
cost of the technology, or 65 percent of the costs in excess of the MS-
DRG payment for the case. As a result, we are proposing that the 
maximum new technology add-on payment for a case involving the use of 
the ShortCutTM would be $9,750 for FY 2026 (that is, 65 
percent of the average cost of the technology).
    We invite public comments on whether the ShortCutTM 
meets the cost criterion and our proposal to approve new technology 
add-on payments for the ShortCutTM for FY 2026.
23. Spur Peripheral Retrievable Stent System
    The following table summarizes the information provided in the new 
technology add-on payment application for the Spur Peripheral 
Retrievable Stent System.
BILLING CODE 4120-01-P

[[Page 18204]]

[GRAPHIC] [TIFF OMITTED] TP30AP25.032

BILLING CODE 4120-01-C
    After review of the information provided by the applicant, with 
regard to the cost criterion, we note that the applicant provided a 
list of ICD-10-CM codes to identify indications relevant to use of the 
technology for patients with de novo or restenotic lesions in the 
infrapopliteal arteries. However, in the cost analysis, the applicant 
used only ICD-10-PCS codes to identify eligible cases. We question 
whether using a combination of ICD-10-CM and ICD-10-PCS codes would 
more accurately identify eligible cases.
    Subject to the applicant adequately addressing this concern, we 
would agree that the Spur Peripheral Retrievable Stent System meets the 
cost criterion and are therefore proposing to approve the Spur 
Peripheral Retrievable Stent System for new technology add-on payments 
for FY 2026, subject to the technology receiving FDA marketing 
authorization for the indication corresponding to the Breakthrough 
Device designation by May 1, 2025.
    The applicant has not provided an estimate for the cost of the Spur 
Peripheral Retrievable Stent System at the time of this proposed rule. 
We expect the applicant to submit cost information prior to the final 
rule, and we will provide an update regarding the new technology add-on 
payment amount for the technology, if approved, in the final rule. Any 
new technology add-on payment for the Spur Peripheral Retrievable Stent 
System would be subject to our policy under Sec.  412.88(a)(2) where we 
limit new

[[Page 18205]]

technology add-on payment to the lesser of 65 percent of the average 
cost of the technology, or 65 percent of the costs in excess of the MS-
DRG payment for the case.
    We invite public comments on whether the Spur Peripheral 
Retrievable Stent System meets the cost criterion and our proposal to 
approve new technology add-on payments for the Spur Peripheral 
Retrievable Stent System for FY 2026, subject to the technology 
receiving FDA marketing authorization for the indication corresponding 
to the Breakthrough Device designation by May 1, 2025.
24. The WiSE CRT System
    The following table summarizes the information provided in the new 
technology add-on payment application for The WiSE CRT System.
BILLING CODE 4120-01-P

[[Page 18206]]

[GRAPHIC] [TIFF OMITTED] TP30AP25.033

BILLING CODE 4120-01-C
    After review of the information provided by the applicant, we agree 
with the applicant that The WiSE CRT System meets the cost criterion 
and are therefore proposing to approve The WiSE CRT System for new 
technology add-on payments for FY 2026, subject to the technology 
receiving FDA marketing authorization for the indication corresponding 
to the Breakthrough Device designation by May 1, 2025.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost of The 
WiSE CRT System to the hospital to be $63,300 per patient. The 
components include the electrode

[[Page 18207]]

and catheter ($21,970), the delivery sheath ($2,590), the battery 
($12,870), and the transmitter ($25,870). We note that the cost 
information for this technology may be updated in the final rule based 
on revised or additional information CMS receives prior to the final 
rule. Under Sec.  412.88(a)(2), we limit new technology add-on payments 
to the lesser of 65 percent of the average cost of the technology, or 
65 percent of the costs in excess of the MS-DRG payment for the case. 
As a result, we are proposing that the maximum new technology add-on 
payment for a case involving the use of The WiSE CRT System would be 
$41,145 for FY 2026 (that is, 65 percent of the average cost of the 
technology).
    We invite public comments on whether The WiSE CRT System meets the 
cost criterion and our proposal to approve new technology add-on 
payments for The WiSE CRT System for FY 2026, subject to the technology 
receiving FDA marketing authorization for the indication corresponding 
to the Breakthrough Device designation by May 1, 2025.
25. TriVerity Test
    The following table summarizes the information provided in the new 
technology add-on payment application for the TriVerity Test.
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[[Page 18208]]

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BILLING CODE 4120-01-C
    After review of the information provided by the applicant, we note 
the applicant stated that the technology was not commercially available 
immediately

[[Page 18209]]

after FDA clearance. We are interested in additional information 
regarding the cause of any delay in the technology's commercial 
availability, including the significance of building up TriVerity 
cartridge inventory on its availability for routine clinical use.
    With regard to the cost criterion, the applicant stated the 
technology is used as an aid to differentiate bacterial infections, 
viral infections, and non-infectious illness, as well as the likelihood 
of disease progression in adult patients. However, the applicant 
included diagnosis codes related to sepsis of newborn in the second 
cost criterion analysis. We question whether diagnosis codes related to 
newborns are applicable to this technology because it is indicated for 
use in adult patients, and whether the applicant should remove these 
diagnosis codes to identify eligible cases more accurately.
    Subject to the applicant adequately addressing this concern, we 
would agree that the technology meets the cost criterion and propose to 
approve the TriVerity Test for new technology add-on payments for FY 
2026, for use in conjunction with clinical assessments and other 
laboratory findings as an aid to differentiate bacterial infections, 
viral infections, and non-infectious illness, as well as to determine 
the likelihood of 7-day need for mechanical ventilation, vasopressors, 
and/or renal replacement therapy in adult patients with suspected acute 
infection or suspected sepsis presenting to the emergency department.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost of the 
TriVerity Test to the hospital to be $388 per patient. The applicant 
stated that there would be two components for the operating cost of the 
technology: the TriVerity Cartridge ($375) and the PAXgene Blood RNA 
Tube ($13). Per the applicant, the PAXgene Blood RNA Tube is an FDA-
cleared tube distributed by BD and is a necessary component for 
hospitals to use the TriVerity Test. The applicant stated that 
hospitals can purchase the PAXgene Blood RNA Tubes directly from BD or 
from the applicant. Although the applicant stated that the PAXgene 
Blood RNA Tube is a new component of the device, we note that the 
PAXgene Blood RNA Tube is also commercially available for other uses as 
a standalone sample collection device, and received FDA marketing 
authorization as early as April 18, 2005.\197\ Therefore, it appears 
that only the cost of the TriVerity Cartridge is appropriate for 
consideration for new technology add-on payment. We note that the cost 
information for this technology may be updated in the final rule based 
on revised or additional information CMS receives prior to the final 
rule. Under Sec.  412.88(a)(2), we limit new technology add-on payments 
to the lesser of 65 percent of the average cost of the technology, or 
65 percent of the costs in excess of the MS-DRG payment for the case. 
As a result, we are proposing that the maximum new technology add-on 
payment for a case involving the use of the TriVerity Test would be 
$243.75 for FY 2026 (that is, 65 percent of the average cost of the 
technology).
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    \197\ https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfpmn/denovo.cfm?id=DEN050003.
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    We invite public comments on whether the TriVerity Test meets the 
cost criterion and our proposal to approve new technology add-on 
payments for the TriVerity Test for FY 2026.
26. Ventura[supreg] Interatrial Shunt System
    The following table summarizes the information provided in the new 
technology add-on payment application for the Ventura[supreg] 
Interatrial Shunt System.
BILLING CODE 4120-01-P

[[Page 18210]]

[GRAPHIC] [TIFF OMITTED] TP30AP25.035

BILLING CODE 4120-01-C
    After review of the information provided by the applicant, we note 
that with regard to the unique ICD-10-PCS procedure code used to 
identify the use

[[Page 18211]]

of this technology, the applicant stated that ICD-10-PCS procedure code 
02173J6 (Bypass left atrium to right atrium with synthetic substitute, 
percutaneous approach) describes implantation of an interatrial shunt. 
The applicant stated that it expects the Ventura[supreg] Interatrial 
Shunt System to be the first interatrial shunt to receive FDA approval 
and that it therefore will be the only technology reported under this 
code. However, we believe that other technologies currently in clinical 
trials may also be able to be reported using this code. Therefore, we 
believe that the ICD-10-CM diagnosis code Z00.6 (Encounter for 
examination for normal comparison and control in clinical research 
program) should be used in combination with the ICD-10-PCS procedure 
code 02173J6 to exclude new technology add-on payment for cases 
involving technologies that are used in clinical trial settings, as 
costs for the investigational item or service, itself unless otherwise 
covered outside of the clinical trial, are not covered by Medicare 
under the routine costs of a clinical trial.\198\ We are inviting 
public comments on the use of this ICD-10-CM diagnosis code to exclude 
cases involving technologies that are used in clinical trial settings, 
which would not be eligible for the new technology add-on payment, if 
approved.
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    \198\ Routine Costs in Clinical Trials 310.1 (Effective Date of 
this Version 05/27/2024) https://www.cms.gov/medicare-coverage-database/view/ncd.aspx?ncdid=1&ncdver=3&.
---------------------------------------------------------------------------

    We agree with the applicant that the Ventura[supreg] Interatrial 
Shunt System meets the cost criterion and are therefore proposing to 
approve the Ventura[supreg] Interatrial Shunt System for new technology 
add-on payments for FY 2026 subject to the technology receiving FDA 
marketing authorization for the indication corresponding to the 
Breakthrough Device designation by May 1, 2025.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost of the 
Ventura[supreg] Interatrial Shunt System to the hospital to be $34,000 
per device, and one unit of the shunt system would be furnished during 
an inpatient stay. The components include the Ventura[supreg] 
Interatrial Shunt ($32,000) and the Ventura[supreg] Interatrial Shunt 
Delivery System ($2,000). We note that the cost information for this 
technology may be updated in the final rule based on revised or 
additional information CMS receives prior to the final rule. Under 
Sec.  412.88(a)(2), we limit new technology add-on payments to the 
lesser of 65 percent of the average cost of the technology, or 65 
percent of the costs in excess of the MS-DRG payment for the case. As a 
result, we are proposing that the maximum new technology add-on payment 
for a case involving the use of the Ventura[supreg] Interatrial Shunt 
System would be $22,100 for FY 2026 (that is, 65 percent of the average 
cost of the technology).
    We invite public comments on whether the Ventura[supreg] 
Interatrial Shunt System meets the cost criterion and our proposal to 
approve new technology add-on payments for the Ventura[supreg] 
Interatrial Shunt System for FY 2026, subject to the technology 
receiving FDA marketing authorization for the indication corresponding 
to the Breakthrough Device designation by May 1, 2025.
27. VITEK[supreg] REVEALTM AST System
    The following table summarizes the information provided in the new 
technology add-on payment application for the VITEK[supreg] 
REVEALTM AST System.
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[[Page 18212]]

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[[Page 18213]]


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BILLING CODE 4120-01-C
    After review of the information provided by the applicant, since 
the indication for which the applicant received 510(k) clearance is 
included within the scope of the Breakthrough Device designation 
indication, it appears that the FDA-cleared indication is appropriate 
for consideration for new technology add-on payment under the 
alternative pathway criteria.\199\
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    \199\ Breakthrough Devices Program https://www.fda.gov/medical-devices/how-study-and-market-your-device/breakthrough-devices-program.
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    We note the applicant stated the device was not commercially 
available until October 21, 2024, due to lead times in the supply chain 
and implementation of system modifications due to FDA requirements. We 
are interested in additional information regarding the cause for any 
delay in the technology's commercial availability, as it received FDA 
clearance on June 20, 2024, and it is not clear how lead times in the 
supply chain affected its availability on the market and what system 
modifications were required.
    We agree with the applicant that the VITEK[supreg] 
REVEALTM AST System meets the cost criterion and are 
therefore proposing to approve the VITEK[supreg] REVEALTM 
AST System for new technology add-on payments for FY 2026, indicated 
for susceptibility testing direct from positive blood culture samples 
signaled positive by a continuous monitoring blood culture system and 
confirmed to contain gram-negative bacilli by Gram stain.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipated the total cost of the 
VITEK[supreg] REVEALTM AST System to the hospital to be $125 
per patient for the VITEK[supreg] REVEALTM Sensor Array. Per 
the applicant, while there are additional capital costs for the 
technology, these costs were not included in the device's cost to the 
hospital per patient per inpatient stay. We note that the cost 
information for this technology may be updated in the final rule based 
on revised or additional information CMS receives prior to the final 
rule. Under Sec.  412.88(a)(2), we limit new technology add-on payments 
to the lesser of 65 percent of the average cost of the technology, or 
65 percent of the costs in excess of the MS-DRG payment for the case. 
As a result, we are proposing that the maximum new technology add-on 
payment for a case involving the use of the VITEK[supreg] 
REVEALTM AST System would be $81.25 for FY 2026 (that is, 65 
percent of the average cost of the technology).
    We invite public comments on whether the VITEK[supreg] 
REVEALTM AST System meets the cost criterion and our 
proposal to approve new technology add-on payments for the 
VITEK[supreg] REVEALTM AST System for FY 2026.
b. Alternative Pathways for Qualified Infectious Disease Products 
(QIDPs)
1. EMBLAVEOTM (Aztreonam-Avibactam)
    The following table summarizes the information provided in the new 
technology add-on payment application for EMBLAVEOTM (also 
referred to as ATM-AVI).
BILLING CODE 4120-01-P

[[Page 18214]]

[GRAPHIC] [TIFF OMITTED] TP30AP25.038

BILLING CODE 4120-01-C
    After review of the information provided by the applicant, since 
the indication for which the applicant received NDA approval is 
included within the scope of the QIDP designation indication, it 
appears that the FDA-approved indication is appropriate for 
consideration for new technology add-on payment under the alternative 
pathway criteria.
    We note that the applicant stated that the technology is expected 
to be commercially available by Q3 of CY 2025 due to product 
availability. We are interested in additional information regarding the 
cause for any delay in the technology's market availability as the 
technology received FDA approval on February 7, 2025.
    We agree with the applicant that EMBLAVEOTM meets the 
cost criterion and are therefore proposing to approve 
EMBLAVEOTM for new technology add-on payments for FY 2026 
for use in patients 18 years and older who have limited or no 
alternative options for the treatment of cIAI.
    The applicant has not provided an estimate for the cost of 
EMBLAVEOTM at the time of this proposed rule. We expect the 
applicant to submit cost information prior to the final rule, and we 
will provide an update regarding the new technology add-on payment 
amount for the technology, if approved, in the final rule. Any new 
technology add-on payment for EMBLAVEOTM would be subject to 
our policy under Sec.  [thinsp]412.88(a)(2)(ii)(B) where we limit new 
technology add-on payment for QIDPs to the lesser of 75 percent of the 
average cost of the technology, or 75 percent of the costs in excess of 
the MS-DRG payment for the case.
    We invite public comments on whether EMBLAVEOTM meets 
the cost criterion and our proposal to approve new technology add-on 
payments for EMBLAVEOTM for FY 2026.
2. CONTEPOTM (Fosfomycin)
    The following table summarizes the information provided in the new 
technology add-on payment application for CONTEPOTM 
(fosfomycin). We note

[[Page 18215]]

that Nabriva Therapeutics submitted an application for 
CONTEPOTM for FY 2021 and FY 2022, as summarized in the FY 
2021 and FY 2022 IPPS/LTCH PPS proposed rules (85 FR 32682 through 
32683; 86 FR 25390 through 25392), and received conditional approval 
subject to the technology receiving FDA marketing authorization before 
July 1 of the particular fiscal year for which the applicant applied 
for new technology add-on payments (85 FR 58723 through 58725; 86 FR 
45154 through 45155). CONTEPOTM did not receive FDA 
marketing authorization by the applicable July 1 deadlines, and was 
therefore not eligible for new technology add-on payments for FY 2021 
or FY 2022 (86 FR 44972; 87 FR 48909).
    Per the applicant, Meitheal Pharmaceuticals Inc. has acquired the 
rights to CONTEPOTM in the U.S. and is submitting the new 
technology add-on payment application for FY 2026.
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[[Page 18217]]


[GRAPHIC] [TIFF OMITTED] TP30AP25.040

BILLING CODE 4120-01-C
    After review of the information provided by the applicant, we note 
the applicant states that the technology is expected to be commercially 
available within 3 months of FDA approval, and we would appreciate more 
information on the reasons for any delay in the commercial availability 
of CONTEPOTM following FDA approval.
    We agree with the applicant that CONTEPOTM meets the 
cost criterion and are therefore proposing to approve 
CONTEPOTM for new technology add-on payments for FY 2026, 
subject to the technology receiving FDA marketing authorization for the 
indication corresponding to the QIDP designation by July 1, 2025. As an 
application submitted under the alternative pathway for certain 
antimicrobial products at Sec.  412.87(d), CONTEPOTM is 
eligible for conditional approval for new technology add-on payments if 
it does not receive FDA marketing authorization by July 1, 2025, 
provided that the technology receives FDA marketing authorization 
before July 1 of the fiscal year for which the applicant applied for 
new technology add-on payments (that is, July 1, 2026), as provided in 
Sec.  412.87(f)(3). If CONTEPOTM receives FDA marketing 
authorization before July 1, 2026, the new technology add-on payment 
for cases involving the use of this technology would be made effective 
for discharges beginning in the first quarter after FDA marketing 
authorization is granted. If FDA marketing authorization is received on 
or after July 1, 2026, no new technology add-on payments would be made 
for cases involving the use of CONTEPOTM for FY 2026.
    Based on preliminary information from the applicant at the time of 
this proposed rule, the applicant anticipates the total cost of 
CONTEPOTM to the hospital to be $11,700 per patient. The 
applicant estimated that each vial costs $325 and that 3 doses are 
needed each day for an average treatment duration of 12 days. We note 
that the cost information for this technology may be updated in the 
final rule based on revised or additional information CMS receives 
prior to the final rule. Under Sec.  412.88(a)(2)(ii)(B), we limit new 
technology add-on for technologies designated as QIDPs to the lesser of 
75 percent of the average cost of the technology, or 75 percent of the 
costs in excess of the MS-DRG payment for the case. As a result, we are 
proposing that the maximum new technology add-on payment for a case 
involving the use of CONTEPOTM would be $8,775 for FY 2026 
(that is, 75 percent of the average cost of the technology).
    We invite public comments on whether CONTEPOTM meets the 
cost criterion and our proposal to approve new technology add-on 
payments for CONTEPOTM for FY 2026, subject to the 
technology receiving FDA marketing authorization consistent with its 
QIDP designation by July 1, 2025.

III. Proposed Changes to the Hospital Wage Index for Acute Care 
Hospitals

A. Background

1. Legislative Authority
    Section 1886(d)(3)(E) of the Act requires that, as part of the 
methodology for determining prospective payments to hospitals, the 
Secretary adjust the standardized amounts for area differences in 
hospital wage levels by a factor (established by the Secretary) 
reflecting the relative hospital wage level in the geographic area of 
the hospital compared to the national average hospital wage level. We 
currently define hospital labor market areas based on the delineations 
of statistical areas established by the Office of Management and Budget 
(OMB). A discussion of the proposed FY 2026 hospital wage index based 
on the statistical areas appears under section III.B. of the preamble 
of this proposed rule.
    Section 1886(d)(3)(E) of the Act requires the Secretary to update 
the wage index annually and to base the update on a survey of wages and 
wage-related costs of short-term, acute care hospitals. CMS collects 
these data on the Medicare cost report, CMS Form 2552-10, Worksheet S-
3, Parts II, III, IV. The aforementioned information collection 
requirements are in Worksheet S-3, Parts II, III, IV. of the 
information collection request titled ``Hospitals and Health Care 
Complex Cost Report (CMS Form 2552-10)''. The information collection 
request is currently approved under OMB control number is 0938-0050 and 
has a September 30, 2025, expiration date. We plan to submit the 
information collection request to OMB for reapproval in the near 
future. In accordance with the PRA, the resubmission process will be 
announced in the Federal Register providing the public with the 
requisite notice and comment periods which will be separate from those 
associated with this rulemaking. Section 1886(d)(3)(E) of the Act also 
requires that any updates or adjustments to the wage index be made in a 
manner that ensures that aggregate payments to hospitals are not 
affected by the change in the wage index. The proposed adjustment for 
FY 2026 is discussed in section II.B. of the Addendum to this proposed 
rule.
    As discussed in section III.I. of the preamble of this proposed 
rule, we also take into account the geographic reclassification of 
hospitals in accordance with sections 1886(d)(8)(B) and 1886(d)(10) of 
the Act when calculating IPPS payment amounts. Under section 
1886(d)(8)(D) of the Act, the Secretary is required to adjust the 
standardized amounts so as to ensure that aggregate payments under the 
IPPS after implementation of the provisions of sections 1886(d)(8)(B), 
1886(d)(8)(C), and 1886(d)(10) of the Act are equal to the aggregate 
prospective payments that would have been made absent these provisions. 
The proposed budget neutrality adjustment for FY 2026 is discussed in 
section II.A.4.b. of the Addendum to this proposed rule.

[[Page 18218]]

    Section 1886(d)(3)(E) of the Act also provides for the collection 
of data every 3 years on the occupational mix of employees for short-
term, acute care hospitals participating in the Medicare program to 
construct an occupational mix adjustment to the wage index. The 
information collection request is currently approved under OMB control 
number is 0938-0907 and has a September 30, 2025, expiration date. We 
plan to submit the information collection request to OMB for reapproval 
in the near future. In accordance with the PRA, the resubmission 
process will be announced in the Federal Register providing the public 
with the requisite notice and comment periods which will be separate 
from those associated with this rulemaking. A discussion of the 
occupational mix adjustment that we are proposing to apply to the FY 
2026 wage index appears under section III.E. of the preamble of this 
proposed rule.
2. Core-Based Statistical Areas (CBSAs) for the Proposed FY 2026 
Hospital Wage Index
    The wage index is calculated and assigned to hospitals on the basis 
of the labor market area in which the hospital is located. Under 
section 1886(d)(3)(E) of the Act, beginning with FY 2005 (69 FR 49026 
through 49032), we delineate hospital labor market areas based on OMB-
established Core-Based Statistical Areas (CBSAs). In the July 16, 2021, 
Federal Register (86 FR 37777), OMB finalized a schedule for future 
updates based on results of the decennial Census updates to commuting 
patterns from the American Community Survey (ACS). In accordance with 
that schedule, on July 21, 2023, OMB released Bulletin No. 23-01. The 
current statistical areas (which were implemented beginning with FY 
2025) are based on revised OMB delineations issued on July 21, 2023, in 
OMB Bulletin No. 23-01. According to OMB, the delineations reflect the 
2020 Standards for Delineating Core Based Statistical Areas (``the 2020 
Standards''), which appeared in the Federal Register on July 16, 2021 
(86 FR 37770 through 37778), and the application of those standards to 
Census Bureau population and journey-to-work data (that is, 2020 
Decennial Census, the ACS, and Census Population Estimates Program 
data) (we refer to these revised OMB delineations as the ``new OMB 
delineations'' in this proposed rule). A copy of OMB Bulletin No. 23-01 
may be obtained at https://bidenwhitehouse.archives.gov/wp-content/uploads/2023/07/OMB-Bulletin-23-01.pdf. We refer readers to the FY 2025 
IPPS/LTCH PPS final rule (89 FR 69253 through 69266) for a full 
discussion of our implementation of the new OMB delineations for the FY 
2025 wage index. For FY 2026, we are proposing to continue using the 
new OMB delineations that we adopted beginning with FY 2025 to 
calculate the area wage indexes and the transition periods, which we 
discuss below.
3. Codes for Constituent Counties in CBSAs
    CBSAs are made up of one or more constituent counties. Each CBSA 
and constituent county has its own unique identifying codes. The 
Federal Information Processing Standard (FIPS) county codes are 
maintained by the U.S. Census Bureau. In the FY 2018 IPPS/LTCH PPS 
final rule (82 FR 38129 through 38130), we adopted a policy to use the 
FIPS county codes for purposes of crosswalking counties to CBSAs. In 
addition, in the same rule, we implemented the latest FIPS code 
updates, which were effective October 1, 2017, beginning with the FY 
2018 wage indexes. These updates have been used to calculate the wage 
indexes in a manner generally consistent with the CBSA-based 
methodologies finalized in the FY 2005 IPPS final rule and the FY 2015 
IPPS/LTCH PPS final rule. We refer the reader to the FY 2018 IPPS/LTCH 
PPS final rule (82 FR 38129 through 38130) for a complete discussion of 
our adoption of FIPS county codes. For FY 2026, we are proposing to 
continue to use only the FIPS county codes for purposes of crosswalking 
counties to CBSAs. For FY 2026, Tables 2 and 3 associated with this 
proposed rule and the County to CBSA Crosswalk File and Urban CBSAs and 
Constituent Counties for Acute Care Hospitals File posted on the CMS 
website reflect the latest FIPS county code updates.

B. Worksheet S-3 Wage Data for the FY 2026 Wage Index

1. Cost Reporting Periods Beginning in FY 2022 for FY 2026 Wage Index
    The proposed FY 2026 wage index values are based on the data 
collected from the Medicare cost reports submitted by hospitals for 
cost reporting periods beginning in FY 2022 (the FY 2025 wage indexes 
were based on data from cost reporting periods beginning during FY 
2021).
    The proposed FY 2026 wage index includes all of the following 
categories of data associated with costs paid under the IPPS (as well 
as outpatient costs):
     Salaries and hours from short-term, acute care hospitals 
(including paid lunch hours and hours associated with military leave 
and jury duty).
     Home office costs and hours.
     Certain contract labor costs and hours including direct 
patient care (which includes nursing), certain top management, 
pharmacy, laboratory, and nonteaching physician Part A services, and 
certain contract indirect patient care services (as discussed in the FY 
2008 final rule with comment period (72 FR 47315 through 47317)).
     Wage-related costs, including pension costs (based on 
policies adopted in the FY 2012 IPPS/LTCH PPS final rule (76 FR 51586 
through 51590) and modified in the FY 2016 IPPS/LTCH PPS final rule (80 
FR 49505 through 49508)) and other deferred compensation costs.
    Consistent with the wage index methodology for FY 2025, the 
proposed wage index for FY 2026 excludes the direct and overhead 
salaries and hours for services not subject to IPPS payment, such as 
skilled nursing facility (SNF) services, home health services, costs 
related to Graduate Medical Education (GME) (teaching physicians and 
residents) and certified registered nurse anesthetists (CRNAs), and 
other subprovider components that are not paid under the IPPS. The 
proposed FY 2026 wage index also excludes the salaries, hours, and 
wage-related costs of hospital-based rural health clinics (RHCs), and 
Federally Qualified Health Centers (FQHCs), because Medicare pays for 
these costs outside of the IPPS (68 FR 45395). In addition, as 
explained in the FY 2004 IPPS final rule (68 FR 45397 through 45398), 
salaries, hours, and wage-related costs of Critical Access Hospitals 
(CAHs) are excluded from the wage index as we believe that removing 
CAHs from the wage index is prudent policy, given the substantial 
negative impact these hospitals have on the wage indexes in the areas 
where they are located and the minimal impact they have on the wage 
indexes of other areas. We refer the reader to the FY 2004 IPPS final 
rule (68 FR 45397 through 45398) for a complete discussion regarding 
the exclusion of CAHs from the wage index. Similar to our treatment of 
CAHs, as discussed later in this section, we exclude Rural Emergency 
Hospitals (REHs) from the wage index.
    For FY 2020 and subsequent years, other wage-related costs are also 
excluded from the calculation of the wage index. As discussed in the FY 
2019 IPPS/LTCH final rule (83 FR 41365 through 41369), other wage-
related costs reported on Worksheet S-3, Part II, Line 18 and Worksheet 
S-3, Part IV, Line 25 and subscripts, as well as all other wage-related 
costs, such as contract

[[Page 18219]]

labor costs, are excluded from the calculation of the wage index.
2. Use of Wage Index Data by Suppliers and Providers Other Than Acute 
Care Hospitals Under the IPPS
    Data collected for the IPPS wage index also are currently used to 
calculate wage indexes applicable to suppliers and other providers, 
such as SNFs, home health agencies (HHAs), ambulatory surgical centers 
(ASCs), and hospices. In addition, they are used for prospective 
payments to IRFs, IPFs, and LTCHs, and for hospital outpatient 
services. We note, in the calendar year (CY) 2025 ESRD PPS final rule 
(89 FR 89097-89116), CMS finalized a new ESRD PPS-specific wage index 
that will be used to adjust ESRD PPS payments for geographic 
differences in area wages. We refer the reader to the CY 2025 ESRD PPS 
final rule for complete details regarding ESRD wage index. We further 
note that, in the IPPS rules, we do not address comments pertaining to 
the wage indexes of any supplier or provider except IPPS providers and 
LTCHs. Such comments should be made in response to separate proposed 
rules for those suppliers and providers.
3. Verification of Worksheet S-3 Wage Data
    The wage data for the proposed FY 2026 wage index were obtained 
from Worksheet S-3, Parts II, III and IV of the Medicare cost report, 
CMS Form 2552-10 (OMB Control Number 0938-0050 with an expiration date 
September 30, 2025) for cost reporting periods beginning on or after 
October 1, 2021, and before October 1, 2022. For wage index purposes, 
we refer to cost reports beginning on or after October 1, 2021, and 
before October 1, 2022, as the ``FY 2022 cost report,'' the ``FY 2022 
wage data,'' or the ``FY 2022 data.'' Instructions for completing the 
wage index sections of Worksheet S-3 are included in the Provider 
Reimbursement Manual (PRM), Part 2 (Pub. 15-2), Chapter 40, Sections 
4005.2 through 4005.4. The data file used to construct the FY 2026 wage 
index includes FY 2022 data submitted to us as of January 31, 2025. As 
in past years, we performed an extensive review of the wage data, 
mostly through the use of edits designed to identify aberrant data.
    We note, in previous fiscal years, we reviewed and evaluated the 
audited wage data, and the impacts of the COVID-19 PHE on such data. 
For FY 2026, we have not identified any significant issues with the FY 
2022 wage data itself in terms of our audits of this data. As usual, 
the data was audited by the Medicare Administrative Contractors (MACs), 
and there were no significant issues reported across the data for all 
hospitals.
    We requested that our Medicare Administrative Contractors (MACs) 
revise or verify data elements that resulted in specific edit failures. 
For the proposed FY 2026 wage index, we identified and excluded 79 
providers with aberrant data that should not be included in the wage 
index. If data elements for some of these providers are corrected, we 
intend to include data from those providers in the final FY 2026 wage 
index. We also adjusted certain aberrant data and included these data 
in the wage index. For example, in situations where a hospital did not 
have documentable salaries, wages, and hours for housekeeping and 
dietary services, we imputed estimates, in accordance with policies 
established in the FY 2015 IPPS/LTCH PPS final rule (79 FR 49965 
through 49967). We instructed MACs to complete their verification of 
questionable data elements and to transmit any changes to the wage data 
no later than March 21, 2025.
    In constructing the proposed FY 2026 wage index, we included the 
wage data for facilities that were IPPS hospitals in FY 2022, inclusive 
of those facilities that have since terminated their participation in 
the program as hospitals, as long as those data did not fail any of our 
edits for reasonableness. We believe that including the wage data for 
these hospitals is, in general, appropriate to reflect the economic 
conditions in the various labor market areas during the relevant past 
period and to ensure that the current wage index represents the labor 
market area's current wages as compared to the national average of 
wages.
    As discussed in the FY 2004 IPPS final rule (68 FR 45397 through 
45398) and FY 2025 IPPS/LTCH final rule (89 FR 69268), any hospital 
that is designated as a CAH or REH by 7 days prior to the publication 
of the preliminary wage index public use file (PUF) is excluded from 
the calculation of the wage index.
    For the proposed FY 2026 wage index, we removed 7 hospitals that 
converted to CAH status and 5 hospitals that converted to REH status on 
or after January 24, 2024, the cut-off date for CAH and REH exclusion 
from the FY 2025 wage index, and through and including January 24, 
2025, the cut-off date for CAH and REH exclusion from the FY 2026 wage 
index. In summary, we calculated the FY 2026 wage index using the 
Worksheet S-3, Parts II and III wage data of 3,027 hospitals.
    For the proposed FY 2026 wage index, we allotted the wages and 
hours data for a multicampus hospital among the different labor market 
areas where its campuses are located using campus full-time equivalent 
(FTE) percentages as originally finalized in the FY 2012 IPPS/LTCH PPS 
final rule (76 FR 51591). Table 2, which contains the FY 2026 wage 
index associated with this proposed rule (available via the internet on 
the CMS website), includes separate wage data for the campuses of 29 
multicampus hospitals. The following chart lists the multicampus 
hospitals by CMS certification number (CCN) and the FTE percentages on 
which the wages and hours of each campus were allotted to their 
respective labor market areas:

----------------------------------------------------------------------------------------------------------------
   CCN of main         Full-time                             Full-time      CCN of second sub      Full-time
    campus of          equivalent     CCN of sub campus      equivalent         campus of          equivalent
   multicampus       percentage of      of multicampus   percentage of sub     multicampus       percentage of
     hospital         main campus          hospital            campus            hospital      second sub campus
----------------------------------------------------------------------------------------------------------------
          050121               0.86             05B121               0.14   .................  .................
          070010               0.85             07B010               0.15   .................  .................
          070022               0.99             07B022               0.01   .................  .................
          100029               0.52             10B029               0.48   .................  .................
          140010               0.81             14B010               0.19   .................  .................
          220074                0.9             22B074                0.1   .................  .................
          310069               0.17             31B069               0.83   .................  .................
          330103               0.69             33B103               0.31   .................  .................
          330195                0.9             33B195                0.1   .................  .................
          330214               0.77             33B214               0.23   .................  .................
          330234               0.79             33B234               0.21   .................  .................
          340040               0.93             34B040               0.07   .................  .................
          340115               0.82             34B115               0.13             34C115               0.05

[[Page 18220]]

 
          360020               0.97             36B020               0.03   .................  .................
          390115               0.82             39B115               0.18   .................  .................
          390142               0.83             39B142               0.17   .................  .................
          390307               0.89             39B307               0.11   .................  .................
          420004               0.96             42B004               0.04   .................  .................
          450033               0.96             45B033               0.04   .................  .................
          450330               0.96             45B330               0.04   .................  .................
          460051               0.77             46B051               0.23   .................  .................
          510022               0.94             51B022               0.06   .................  .................
          520009               0.72             52B009               0.28   .................  .................
          520030               0.98             52B030               0.02   .................  .................
          520189               0.72             52B189               0.28   .................  .................
          670062               0.84             67B062               0.16   .................  .................
          670102               0.68             67B102               0.32   .................  .................
          670107               0.69             67B107               0.31   .................  .................
          670116               0.66             67B116               0.34   .................  .................
----------------------------------------------------------------------------------------------------------------

    We note that, in past years, in Table 2, we have placed a ``B'' to 
designate the subordinate campus in the fourth position of the hospital 
CCN. However, for the FY 2019 IPPS/LTCH PPS proposed and final rules 
and subsequent rules, we have moved the ``B'' to the third position of 
the CCN. Because all IPPS hospitals have a ``0'' in the third position 
of the CCN, we believe that placement of the ``B'' in this third 
position, instead of the ``0'' for the subordinate campus, is the most 
efficient method of identification and interferes the least with the 
other variable digits in the CCN. We also note that provider 340115 has 
an additional second sub campus located in a different CBSA then the 
main campus and its other sub campus. Therefore, in order to uniquely 
identify this second sub campus, we have placed a ``C'' in the third 
position of the CCN.
4. Process for Requests for Wage Index Data Corrections
a. Process for Hospitals To Request Wage Index Data Corrections
    The preliminary, unaudited Worksheet S-3 wage data files for the 
proposed FY 2026 wage index were made available on May 23, 2024, 
through the internet on the CMS website at https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/wage-index-files/fy-2026-wage-index-home-page. The FY 2026 preliminary 
Worksheet S-3 wage data file inadvertently contained cost report data 
with a begin date before 10/01/2021 and cost report data with a begin 
date after 10/01/2022. We removed these cost reports and added cost 
reports that were inadvertently omitted from the file originally posted 
on May 23. Therefore, on June 20, 2024, we posted an updated FY 2026 
preliminary Worksheet S-3 wage data file.
    On January 31, 2025, we posted a public use file (PUF) at https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/wage-index-files/fy-2026-wage-index-home-page containing 
FY 2026 wage index data available as of January 31, 2025. This PUF 
contains a tab with the Worksheet S-3 wage data (which includes 
Worksheet S-3, Parts II and III wage data from cost reporting periods 
beginning on or after October 1, 2021, through September 30, 2022; that 
is, FY 2022 wage data), a tab with the occupational mix data (which 
includes data from the CY 2022 occupational mix survey, Form CMS-
10079), a tab containing the Worksheet S-3 wage data of hospitals 
deleted from the January 31, 2025 wage data PUF, and a tab containing 
the CY 2022 occupational mix data of the hospitals deleted from the 
January 31, 2025 occupational mix PUF. In a memorandum dated January 
31, 2025, we instructed all MACs to inform the IPPS hospitals that they 
service of the availability of the January 31, 2025, wage index data 
PUFs, and the process and timeframe for requesting revisions in 
accordance with the FY 2026 Hospital Wage Index Development Time Table 
available at https://www.cms.gov/files/document/fy-2026-hospital-wage-index-development-time-table.pdf.
    In the interest of meeting the data needs of the public, beginning 
with the proposed FY 2009 wage index, we post an additional PUF on the 
CMS website that reflects the actual data that are used in computing 
the proposed wage index. The release of this file does not alter the 
current wage index process or schedule. We notify the hospital 
community of the availability of these data as we do with the current 
public use wage data files through our Hospital Open Door Forum. We 
encourage hospitals to sign up for automatic notifications of 
information about hospital issues and about the dates of the Hospital 
Open Door Forums at the CMS website at https://www.cms.gov/Outreach-and-Education/Outreach/OpenDoorForums.
    In a memorandum dated April 17, 2024, we instructed all MACs to 
inform the IPPS hospitals that they service of the availability of the 
preliminary wage index data files and the CY 2022 occupational mix 
survey data files posted on May 23, 2024, and the process and timeframe 
for requesting revisions.
    If a hospital wished to request a change to its data as shown in 
the May 23, 2024, preliminary wage data files and occupational mix data 
files, the hospital had to submit corrections along with complete, 
detailed supporting documentation to its MAC so that the MAC received 
them by September 3, 2024. Hospitals were notified of these deadlines 
and of all other deadlines and requirements, including the requirement 
to review and verify their data as posted in the preliminary wage index 
data files on the internet, through the letters sent to them by their 
MACs.
    November 1, 2024, was the date by when MACs notified State hospital 
associations regarding hospitals that failed to respond to issues 
raised during the desk reviews. Additional revisions made by the MACs 
were transmitted to CMS throughout January 2025. CMS published the wage 
index PUFs that included hospitals' revised wage index data on January 
31, 2025. Hospitals had until February 18, 2025, to submit requests to 
the MACs to correct errors in the January 31, 2025, PUF due to CMS or 
MAC mishandling of the wage index data, or to revise desk review 
adjustments to their wage index data as included in the January 31, 
2025, PUF.

[[Page 18221]]

Hospitals also were required to submit sufficient documentation to 
support their requests. Hospitals' requests and supporting 
documentation must have been received by the MAC by the February 
deadline (that is, by February 18, 2025, for the FY 2026 wage index).
    After reviewing requested changes submitted by hospitals, MACs were 
required to transmit to CMS any additional revisions resulting from the 
hospitals' reconsideration requests by March 21, 2025. Under our 
current policy as adopted in the FY 2018 IPPS/LTCH PPS final rule (82 
FR 38153), the deadline for a hospital to request CMS intervention in 
cases where a hospital disagreed with a MAC's handling of wage data on 
any basis (including a policy, factual, or other dispute) is April 4, 
2025. Data that were incorrect in the preliminary or January 31, 2025, 
wage index data PUFs, but for which no correction request was received 
by the February 18, 2025, deadline, are not considered for correction 
at this stage. In addition, April 4, 2025, is the deadline for 
hospitals to dispute data corrections made by CMS of which the hospital 
was notified after the January 31, 2025, PUF and at least 14 calendar 
days prior to April 4, 2025 (that is, March 21, 2025), that do not 
arise from a hospital's request for revisions. The hospital's request 
and supporting documentation must be received by CMS (and a copy 
received by the MAC) by the April deadline (that is, by April 4, 2025, 
for the FY 2026 wage index). We refer readers to the FY 2026 Hospital 
Wage Index Development Time Table for complete details.
    Hospitals are given the opportunity to examine Table 2 associated 
with this proposed rule, which is listed in section VI. of the Addendum 
to the proposed rule and available via the internet on the CMS website 
at https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/wage-index-files/fy-2026-wage-index-home-page. 
Table 2 associated with the proposed rule contains each hospital's 
proposed adjusted average hourly wage used to construct the wage index 
values for the past 3 years, including the proposed FY 2026 wage index, 
which was constructed from FY 2022 data. We note that the proposed 
hospital average hourly wages shown in Table 2 only reflect changes 
made to a hospital's data that were transmitted to CMS by late January 
2025.
    We plan to post the final wage index data PUFs on April 30, 2025, 
on the CMS website at https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/wage-index-files/fy-2026-wage-index-home-page. The April 2025 PUFs are made available solely for the 
limited purpose of identifying any potential errors made by CMS or the 
MAC in the entry of the final wage index data that resulted from the 
correction process (the process for disputing revisions submitted to 
CMS by the MACs by March 21, 2025, and the process for disputing data 
corrections made by CMS that did not arise from a hospital's request 
for wage data revisions as discussed earlier), as previously described.
    After the release of the April 2025 wage index data PUFs, changes 
to the wage and occupational mix data can only be made in those very 
limited situations involving an error by the MAC or CMS that the 
hospital could not have known about before its review of the final wage 
index data files. Specifically, neither the MAC nor CMS will approve 
the following types of requests:
     Requests for wage index data corrections that were 
submitted too late to be included in the data transmitted to CMS by the 
MACs on or before March 21, 2025.
     Requests for correction of errors that were not, but could 
have been, identified during the hospital's review of the January 31, 
2025, wage index PUFs.
     Requests to revisit factual determinations or policy 
interpretations made by the MAC or CMS during the wage index data 
correction process.
    If, after reviewing the April 2025 final wage index data PUFs, a 
hospital believes that its wage or occupational mix data are incorrect 
due to a MAC or CMS error in the entry or tabulation of the final data, 
the hospital is given the opportunity to notify both its MAC and CMS 
regarding why the hospital believes an error exists and provide all 
supporting information, including relevant dates (for example, when it 
first became aware of the error). The hospital is required to send its 
request to CMS and to the MAC so that it is received no later than May 
30, 2025. May 30, 2025, is also the deadline for hospitals to dispute 
data corrections made by CMS of which the hospital is notified on or 
after 13 calendar days prior to April 4, 2025 (that is, March 22, 
2025), and at least 14 calendar days prior to May 30, 2025 (that is, 
May 16, 2025), that did not arise from a hospital's request for 
revisions. (Data corrections made by CMS of which a hospital is 
notified on or after 13 calendar days prior to May 30, 2025 (that is, 
May 17, 2025), may be appealed to the Provider Reimbursement Review 
Board (PRRB)). In accordance with the FY 2026 Hospital Wage Index 
Development Time Table posted on the CMS website at https://www.cms.gov/files/document/fy-2026-hospital-wage-index-development-time-table.pdf, the May appeals are required to be submitted to CMS 
through an online submission process or through email. We refer readers 
to the FY 2026 Hospital Wage Index Development Time Table for complete 
details.
    Verified corrections to the wage index data received timely (that 
is, by May 30, 2025) by CMS and the MACs will be incorporated into the 
final FY 2026 wage index, which will be effective October 1, 2025.
    We created the processes previously described to resolve all 
substantive wage index data correction disputes before we finalize the 
wage and occupational mix data for the FY 2026 payment rates. 
Accordingly, hospitals that do not meet the procedural deadlines set 
forth earlier will not be afforded a later opportunity to submit wage 
index data corrections or to dispute the MAC's decision with respect to 
requested changes. Specifically, our policy is that hospitals that do 
not meet the procedural deadlines as previously set forth (requiring 
requests to MACs by the specified date in February and, where such 
requests are unsuccessful, requests for intervention by CMS by the 
specified date in April) will not be permitted to challenge later, 
before the PRRB, the failure of CMS to make a requested data revision. 
We refer readers also to the FY 2000 IPPS final rule (64 FR 41513) for 
a discussion of the parameters for appeals to the PRRB for wage index 
data corrections. As finalized in the FY 2018 IPPS/LTCH PPS final rule 
(82 FR 38154 through 38156), this policy also applies to a hospital 
disputing corrections made by CMS that do not arise from a hospital's 
request for a wage index data revision. That is, a hospital disputing 
an adjustment made by CMS that did not arise from a hospital's request 
for a wage index data revision is required to request a correction by 
the first applicable deadline. Hospitals that do not meet the 
procedural deadlines set forth earlier will not be afforded a later 
opportunity to submit wage index data corrections or to dispute CMS' 
decision with respect to changes.
    Again, we believe the wage index data correction process described 
earlier provides hospitals with sufficient opportunity to bring errors 
in their wage and occupational mix data to the MAC's attention. 
Moreover, because hospitals had access to the final wage index data 
PUFs by late April 2025, they have an opportunity to detect any data 
entry or

[[Page 18222]]

tabulation errors made by the MAC or CMS before the development and 
publication of the final FY 2026 wage index by August 2025, and the 
implementation of the FY 2026 wage index on October 1, 2025. Given 
these processes, the wage index implemented on October 1 should be 
accurate. Nevertheless, in the event that errors are identified by 
hospitals and brought to our attention after May 30, 2025, we retain 
the right to make midyear changes to the wage index under very limited 
circumstances.
    Specifically, in accordance with Sec.  412.64(k)(1) of our 
regulations, we make midyear corrections to the wage index for an area 
only if a hospital can show that: (1) The MAC or CMS made an error in 
tabulating its data; and (2) the requesting hospital could not have 
known about the error or did not have an opportunity to correct the 
error, before the beginning of the fiscal year. For purposes of this 
provision, ``before the beginning of the fiscal year'' means by the May 
deadline for making corrections to the wage data for the following 
fiscal year's wage index (for example, May 30, 2025, for the FY 2026 
wage index). This provision is not available to a hospital seeking to 
revise another hospital's data that may be affecting the requesting 
hospital's wage index for the labor market area. As indicated earlier, 
because CMS makes the wage index data available to hospitals on the CMS 
website prior to publishing both the proposed and final IPPS rules, and 
the MACs notify hospitals directly of any wage index data changes after 
completing their desk reviews, we do not expect that midyear 
corrections will be necessary. However, under our current policy, if 
the correction of a data error changes the wage index value for an 
area, the revised wage index value will be effective prospectively from 
the date the correction is made.
    In the FY 2006 IPPS final rule (70 FR 47385 through 47387 and 
47485), we revised Sec.  412.64(k)(2) to specify that, effective on 
October 1, 2005, that is, beginning with the FY 2006 wage index, a 
change to the wage index can be made retroactive to the beginning of 
the Federal fiscal year only when CMS determines all of the following: 
(1) The MAC or CMS made an error in tabulating data used for the wage 
index calculation; (2) the hospital knew about the error and requested 
that the MAC and CMS correct the error using the established process 
and within the established schedule for requesting corrections to the 
wage index data, before the beginning of the fiscal year for the 
applicable IPPS update (that is, by the May 30, 2025, deadline for the 
FY 2026 wage index); and (3) CMS agreed before October 1 that the MAC 
or CMS made an error in tabulating the hospital's wage index data and 
the wage index should be corrected.
    In those circumstances where a hospital requested a correction to 
its wage index data before CMS calculated the final wage index (that 
is, by the May 30, 2025 deadline for the FY 2026 wage index), and CMS 
acknowledges that the error in the hospital's wage index data was 
caused by CMS' or the MAC's mishandling of the data, we believe that 
the hospital should not be penalized by our delay in publishing or 
implementing the correction. As with our current policy, we indicated 
that the provision is not available to a hospital seeking to revise 
another hospital's data. In addition, the provision cannot be used to 
correct prior years' wage index data; it can only be used for the 
current Federal fiscal year. In situations where our policies would 
allow midyear corrections other than those specified in Sec.  
412.64(k)(2)(ii), we continue to believe that it is appropriate to make 
prospective-only corrections to the wage index.
    We note that, as with prospective changes to the wage index, the 
final retroactive correction will be made irrespective of whether the 
change increases or decreases a hospital's payment rate. In addition, 
we note that the policy of retroactive adjustment will still apply in 
those instances where a final judicial decision reverses a CMS denial 
of a hospital's wage index data revision request.
b. Process for Data Corrections by CMS After the January 31, 2025, 
Public Use File (PUF)
    The process set forth with the wage index timetable discussed in 
section III.C.4. of the preamble of this proposed rule allows hospitals 
to request corrections to their wage index data within prescribed 
timeframes. In addition to hospitals' opportunity to request 
corrections of wage index data errors or MACs' mishandling of data, CMS 
has the authority under section 1886(d)(3)(E) of the Act to make 
corrections to hospital wage index and occupational mix data to ensure 
the accuracy of the wage index. As we explained in the FY 2016 IPPS/
LTCH PPS final rule (80 FR 49490 through 49491) and the FY 2017 IPPS/
LTCH PPS final rule (81 FR 56914), section 1886(d)(3)(E) of the Act 
requires the Secretary to adjust the proportion of hospitals' costs 
attributable to wages and wage-related costs for area differences 
reflecting the relative hospital wage level in the geographic areas of 
the hospital compared to the national average hospital wage level. We 
believe that, under section 1886(d)(3)(E) of the Act, we have 
discretion to make corrections to hospitals' data to help ensure that 
the costs attributable to wages and wage-related costs in fact 
accurately reflect the relative hospital wage level in the hospitals' 
geographic areas.
    We have an established multistep, 15-month process for the review 
and correction of the hospital wage data that is used to create the 
IPPS wage index for the upcoming fiscal year. Since the origin of the 
IPPS, the wage index has been subject to its own annual review process, 
first by the MACs, and then by CMS. As a standard practice, after each 
annual desk review, CMS reviews the results of the MACs' desk reviews 
and focuses on items flagged during the desk review, requiring that, if 
necessary, hospitals provide additional documentation, adjustments, or 
corrections to the data. This ongoing communication with hospitals 
about their wage data may result in the discovery by CMS of additional 
items that were reported incorrectly or other data errors, even after 
the posting of the January 31, 2025, PUF, and throughout the remainder 
of the wage index development process. In addition, the fact that CMS 
analyzes the data from a regional and even national level, unlike the 
review performed by the MACs that review a limited subset of hospitals, 
can facilitate additional editing of the data the need for which may 
not be readily apparent to the MACs. In these occasional instances, an 
error may be of sufficient magnitude that the wage index of an entire 
CBSA is affected. Accordingly, CMS uses its authority to ensure that 
the wage index accurately reflects the relative hospital wage level in 
the geographic area of the hospital compared to the national average 
hospital wage level, by continuing to make corrections to hospital wage 
data upon discovering incorrect wage data, distinct from instances in 
which hospitals request data revisions.
    We note that CMS corrects errors to hospital wage data as 
appropriate, regardless of whether that correction will raise or lower 
a hospital's average hourly wage. For example, as discussed in section 
III.C. of the preamble of the FY 2019 IPPS/LTCH PPS final rule (83 FR 
41364), in situations where a hospital did not have documentable 
salaries, wages, and hours for housekeeping and dietary services, we 
imputed estimates, in accordance with policies established in the FY 
2015 IPPS/LTCH PPS final rule (79 FR 49965

[[Page 18223]]

through 49967). Furthermore, if CMS discovers after conclusion of the 
desk review, for example, that a MAC inadvertently failed to 
incorporate positive adjustments resulting from a prior year's wage 
index appeal of a hospital's wage-related costs such as pension, CMS 
would correct that data error, and the hospital's average hourly wage 
would likely increase as a result.
    While we maintain CMS' authority to conduct additional review and 
make resulting corrections at any time during the wage index 
development process, in accordance with the policy finalized in the FY 
2018 IPPS/LTCH PPS final rule (82 FR 38154 through 38156) and as first 
implemented with the FY 2019 wage index (83 FR 41389), hospitals are 
able to request further review of a correction made by CMS that did not 
arise from a hospital's request for a wage index data correction. 
Instances where CMS makes a correction to a hospital's data after the 
January 31, 2025, PUF based on a different understanding than the 
hospital about certain reported costs, for example, could potentially 
be resolved using this process before the final wage index is 
calculated. We believe this process and the timeline for requesting 
review of such corrections (as described earlier and in the FY 2018 
IPPS/LTCH PPS final rule) promote additional transparency in instances 
where CMS makes data corrections after the January 31, 2025 PUF and 
provide opportunities for hospitals to request further review of CMS 
changes in time for the most accurate data to be reflected in the final 
wage index calculations. These additional appeals opportunities are 
described earlier and in the FY 2026 Hospital Wage Index Development 
Time Table, as well as in the FY 2018 IPPS/LTCH PPS final rule (82 FR 
38154 through 38156).

C. Method for Computing the Proposed FY 2026 Unadjusted Wage Index

    The method used to compute the proposed FY 2026 wage index without 
an occupational mix adjustment follows the same methodology that we 
used to compute the wage indexes without an occupational mix adjustment 
in the FY 2021 IPPS/LTCH PPS final rule (see 85 FR 58758 through 
58761), and we are not proposing any changes to this methodology. We 
have restated our methodology in this section the preamble of this 
proposed rule.
    Step 1.--We gathered data from each of the non-Federal, short-term, 
acute care hospitals for which data were reported on the Worksheet S-3, 
Parts II and III of the Medicare cost report for the hospital's cost 
reporting period relevant to the wage index (in this case, for FY 2026, 
these were data from cost reports for cost reporting periods beginning 
on or after October 1, 2021, and before October 1, 2022). In addition, 
we included data from hospitals that had cost reporting periods 
beginning prior to the October 1, 2021, begin date and extending into 
FY 2022 but that did not have any cost report with a begin date on or 
after October 1, 2021, and before October 1, 2022. We include this data 
because no other data from these hospitals would be available for the 
cost reporting period as previously described, and because particular 
labor market areas might be affected due to the omission of these 
hospitals. However, we generally describe these wage data as data 
applicable to the fiscal year wage data being used to compute the wage 
index for those hospitals. We note that, if a hospital had more than 
one cost reporting period beginning during FY 2022 (for example, a 
hospital had two short cost reporting periods beginning on or after 
October 1, 2021, and before October 1, 2022), we include wage data from 
only one of the cost reporting periods, the longer, in the wage index 
calculation. If there was more than one cost reporting period and the 
periods were equal in length, we included the wage data from the later 
period in the wage index calculation.
    Step 2.--Salaries.--The method used to compute a hospital's average 
hourly wage excludes certain costs that are not paid under the IPPS. 
(We note that, beginning with FY 2008 (72 FR 47315), we included what 
were then Lines 22.01, 26.01, and 27.01 of Worksheet S-3, Part II of 
CMS Form 2552-96 for overhead services in the wage index. Currently, 
these lines are lines 28, 33, and 35 on CMS Form 2552-10. However, we 
note that the wages and hours on these lines are not incorporated into 
Line 101, Column 1 of Worksheet A, which, through the electronic cost 
reporting software, flows directly to Line 1 of Worksheet S-3, Part II. 
Therefore, the first step in the wage index calculation is to compute a 
``revised'' Line 1, by adding to the Line 1 on Worksheet S-3, Part II 
(for wages and hours respectively) the amounts on Lines 28, 33, and 
35.) In calculating a hospital's Net Salaries (we note that we 
previously used the term ``average'' salaries in the FY 2012 IPPS/LTCH 
PPS final rule (76 FR 51592), but we now use the term ``net'' salaries) 
plus wage-related costs, we first compute the following: Subtract from 
Line 1 (total salaries) the GME and CRNA costs reported on CMS Form 
2552-10, Lines 2, 4.01, 7, and 7.01, the Part B salaries reported on 
Lines 3, 5 and 6, home office salaries reported on Line 8, and exclude 
salaries reported on Lines 9 and 10 (that is, direct salaries 
attributable to SNF services, home health services, and other 
subprovider components not subject to the IPPS). We also subtract from 
Line 1 the salaries for which no hours were reported. Therefore, the 
formula for Net Salaries (from Worksheet S-3, Part II) is the 
following:
    ((Line 1 + Line 28 + Line 33 + Line 35)-(Line 2 + Line 3 + Line 
4.01 + Line 5 + Line 6 + Line 7 + Line 7.01 + Line 8 + Line 9 + Line 
10)).
    To determine Total Salaries plus Wage-Related Costs, we add to the 
Net Salaries the costs of contract labor for direct patient care, 
certain top management, pharmacy, laboratory, and nonteaching physician 
Part A services (Lines 11, 12 and 13), home office salaries and wage-
related costs reported by the hospital on Lines 14.01, 14.02, and 15, 
and nonexcluded area wage-related costs (Lines 17, 22, 25.50, 25.51, 
and 25.52). We note that contract labor and home office salaries for 
which no corresponding hours are reported are not included. In 
addition, wage-related costs for nonteaching physician Part A employees 
(Line 22) are excluded if no corresponding salaries are reported for 
those employees on Line 4. The formula for Total Salaries plus Wage-
Related Costs (from Worksheet S-3, Part II) is the following: ((Line 1 
+ Line 28 + Line 33 + Line 35)-(Line 2 + Line 3 + Line 4.01 + Line 5 + 
Line 6 + Line 7 + Line 7.01 + Line 8 + Line 9 + Line 10)) + (Line 11 + 
Line 12 + Line 13 + Line 14.01 + 14.02 + Line 15) + (Line 17 + Line 22 
+ 25.50 + 25.51 + 25.52).
    Step 3.--Hours.--With the exception of wage-related costs, for 
which there are no associated hours, we compute total hours using the 
same methods as described for salaries in Step 2. The formula for Total 
Hours (from Worksheet S-3, Part II) is the following:
    ((Line 1 + Line 28 + Line 33 + Line 35)-(Line 2 + Line 3 + Line 
4.01 + Line 5 + Line 6 + Line 7 + Line 7.01 + Line 8 + Line 9 + Line 
10)) + (Line 11 + Line 12 + Line 13 + Line 14.01 + 14.02 + Line 15).
    Step 4.--For each hospital reporting both total overhead salaries 
and total overhead hours greater than zero, we then allocate overhead 
costs to areas of the hospital excluded from the wage index 
calculation. First, we determine the ``excluded rate'', which is the 
ratio of excluded area hours to Revised Total Hours (from Worksheet S-
3, Part II) with the following formula: (Line 9 + Line 10)/(Line 1 + 
Line 28 + Line 33 + Line 35)-(Lines 2, 3, 4.01, 5, 6, 7, 7.01, and 8 
and Lines 26 through 43). We then compute the amounts of overhead

[[Page 18224]]

salaries and hours to be allocated to the excluded areas by multiplying 
the previously discussed ratio by the total overhead salaries and hours 
reported on Lines 26 through 43 of Worksheet S-3, Part II. Next, we 
compute the amounts of overhead wage-related costs to be allocated to 
the excluded areas using three steps:
     We determine the ``overhead rate'' (from Worksheet S-3, 
Part II), which is the ratio of overhead hours (Lines 26 through 43 
minus the sum of Lines 28, 33, and 35) to revised hours excluding the 
sum of lines 28, 33, and 35 (Line 1 minus the sum of Lines 2, 3, 4.01, 
5, 6, 7, 7.01, 8, 9, 10, 28, 33, and 35). We note that, for the FY 2008 
and subsequent wage index calculations, we have been excluding the 
overhead contract labor (Lines 28, 33, and 35) from the determination 
of the ratio of overhead hours to revised hours because hospitals 
typically do not provide fringe benefits (wage-related costs) to 
contract personnel. Therefore, it is not necessary for the wage index 
calculation to exclude overhead wage-related costs for contract 
personnel. Further, if a hospital does contribute to wage-related costs 
for contracted personnel, the instructions for Lines 28, 33, and 35 
require that associated wage-related costs be combined with wages on 
the respective contract labor lines. The formula for the Overhead Rate 
(from Worksheet S-3, Part II) is the following: (Lines 26 through 43-
Lines 28, 33 and 35)/((((Line 1 + Lines 28, 33, 35)-(Lines 2, 3, 4.01, 
5, 6, 7, 7.01, 8, and 26 through 43))-(Lines 9 and 10)) + (Lines 26 
through 43-Lines 28, 33, and 35)).
     We compute overhead wage-related costs by multiplying the 
overhead hours ratio by wage-related costs reported on Part II, Lines 
17, 22, 25.50, 25.51, and 25.52.
     We multiply the computed overhead wage-related costs by 
the previously described excluded area hours ratio.
    Finally, we subtract the computed overhead salaries, wage-related 
costs, and hours associated with excluded areas from the total salaries 
(plus wage-related costs) and hours derived in Steps 2 and 3.
    Step 5.--For each hospital, we adjust the total salaries plus wage-
related costs to a common period to determine total adjusted salaries 
plus wage-related costs. To make the wage adjustment, we estimate the 
percentage change in the employment cost index (ECI) for compensation 
for each 30-day increment from October 14, 2021, through April 15, 
2023, for private industry hospital workers from data obtained from the 
Bureau of Labor Statistics' (BLS') Office of Compensation and Working 
Conditions. We use the ECI because it reflects the price increase 
associated with total compensation (salaries plus fringe benefits) 
rather than just the increase in salaries. In addition, the ECI 
includes managers as well as other hospital workers. This methodology 
to compute the monthly update factors uses actual quarterly ECI data 
and assures that the update factors match the actual quarterly and 
annual percent changes. We also note that, since April 2006 with the 
publication of March 2006 data, the BLS' ECI uses a different 
classification system, the North American Industrial Classification 
System (NAICS), instead of the Standard Industrial Codes (SICs), which 
no longer exist. We have consistently used the ECI as the data source 
for our wages and salaries and other price proxies in the IPPS market 
basket, and we are not proposing to make any changes to the usage of 
the ECI for FY 2026. The factors used to adjust the hospital's data are 
based on the midpoint of the cost reporting period, as indicated in 
this proposed rule.
    Step 6.--Each hospital is assigned to its appropriate urban or 
rural labor market area before any reclassifications under section 
1886(d)(8)(B), 1886(d)(8)(E), or 1886(d)(10) of the Act. Within each 
urban or rural labor market area, we add the total adjusted salaries 
plus wage-related costs obtained in Step 5 for all hospitals in that 
area to determine the total adjusted salaries plus wage-related costs 
for the labor market area.
    Step 7.--We divide the total adjusted salaries plus wage-related 
costs obtained under Step 6 by the sum of the corresponding total hours 
(from Step 4) for all hospitals in each labor market area to determine 
an average hourly wage for the area.
    Step 8.--We add the total adjusted salaries plus wage-related costs 
obtained in Step 5 for all hospitals in the Nation and then divide the 
sum by the national sum of total hours from Step 4 to arrive at a 
national average hourly wage.
    Step 9.--For each urban or rural labor market area, we calculate 
the hospital wage index value, unadjusted for occupational mix, by 
dividing the area average hourly wage obtained in Step 7 by the 
national average hourly wage computed in Step 8.
    Step 10.--For each urban labor market area for which we do not have 
any hospital wage data (either because there are no IPPS hospitals in 
that labor market area, or there are IPPS hospitals in that area but 
their data are either too new to be reflected in the current year's 
wage index calculation, or their data are aberrant and are deleted from 
the wage index), we finalized in the FY 2020 IPPS/LTCH PPS final rule 
(84 FR 42305) that, for FY 2020 and subsequent years' wage index 
calculations, such CBSAs' wage index would be equal to total urban 
salaries plus wage-related costs (from Step 5) in the State, divided by 
the total urban hours (from Step 4) in the State, divided by the 
national average hourly wage from Step 8 (see 84 FR 42305 and 42306). 
We believe that, in the absence of wage data for an urban labor market 
area, it is reasonable to use a statewide urban average, which is based 
on actual, acceptable wage data of hospitals in that State, rather than 
impute some other type of value using a different methodology. For 
calculation of the proposed FY 2026 wage index, we note there is one 
urban CBSA for which we do not have IPPS hospital wage data. In Table 3 
(which is available via the internet on the CMS website and contains 
the area wage indexes), we include a footnote to indicate to which CBSA 
this policy applies. This CBSA's wage index is calculated as described, 
based on the FY 2020 IPPS/LTCH PPS final rule methodology (84 FR 
42305). Under this step, we also apply our policy with regard to how 
dollar amounts, hours, and other numerical values in the wage index 
calculations are rounded.
    We refer readers to section II. of Appendix B of this proposed rule 
for the policy regarding rural areas that do not have IPPS hospitals.
    Step 11.--Section 4410 of Public Law 105-33 provides that, for 
discharges on or after October 1, 1997, the area wage index applicable 
to any hospital that is located in an urban area of a State may not be 
less than the area wage index applicable to hospitals located in rural 
areas in that State. The areas affected by this provision are 
identified in Table 2 listed in section VI. of the Addendum to the 
proposed rule and available via the internet on the CMS website.
    The following is our policy with regard to rounding of the wage 
data (dollar amounts, hours, and other numerical values) in the 
calculation of the unadjusted and adjusted wage index, as finalized in 
the FY 2020 IPPS/LTCH final rule (84 FR 42306). For data that we 
consider to be ``raw data,'' such as the cost report data on Worksheets 
S-3, Parts II and III, and the occupational mix survey data, we use 
such data ``as is,'' and do not round any of the individual line items 
or fields. However, for any dollar amounts within the wage index 
calculations, including any type of summed wage amount, average hourly 
wages, and the national average hourly wage (both the unadjusted and

[[Page 18225]]

adjusted for occupational mix), we round the dollar amounts to 2 
decimals. For any hour amounts within the wage index calculations, we 
round such hour amounts to the nearest whole number. For any numbers 
not expressed as dollars or hours within the wage index calculations, 
which could include ratios, percentages, or inflation factors, we round 
such numbers to 5 decimals. However, we continue rounding the actual 
unadjusted and adjusted wage indexes to 4 decimals, as we have done 
historically.
    As discussed in the FY 2012 IPPS/LTCH PPS final rule, in ``Step 
5,'' for each hospital, we adjust the total salaries plus wage-related 
costs to a common period to determine total adjusted salaries plus 
wage-related costs. To make the wage adjustment, we estimate the 
percentage change in the ECI for compensation for each 30-day increment 
from October 14, 2021, through April 15, 2023, for private industry 
hospital workers from the BLS' Office of Compensation and Working 
Conditions data. We have consistently used the ECI as the data source 
for our wages and salaries and other price proxies in the IPPS market 
basket, and we are not proposing any changes to the usage of the ECI 
for FY 2026. The factors used to adjust the hospital's data were based 
on the midpoint of the cost reporting period, as indicated in the 
following table.

                    Midpoint of Cost Reporting Period
------------------------------------------------------------------------
         After                    Before             Adjustment factor
------------------------------------------------------------------------
       10/14/2021               11/15/2021                  1.07227
       11/14/2021               12/15/2021                  1.06742
       12/14/2021               01/15/2022                  1.06250
       01/14/2022               02/15/2022                  1.05755
       02/14/2022               03/15/2022                  1.05259
       03/14/2022               04/15/2022                  1.04772
       04/14/2022               05/15/2022                  1.04303
       05/14/2022               06/15/2022                  1.03854
       06/14/2022               07/15/2022                  1.03412
       07/14/2022               08/15/2022                  1.02967
       08/14/2022               09/15/2022                  1.02518
       09/14/2022               10/15/2022                  1.02072
       10/14/2022               11/15/2022                  1.01637
       11/14/2022               12/15/2022                  1.01212
       12/14/2022               01/15/2023                  1.00797
       01/14/2023               02/15/2023                  1.00393
       02/14/2023               03/15/2023                  1.00000
       03/14/2023               04/15/2023                  0.99617
------------------------------------------------------------------------

    For example, the midpoint of a cost reporting period beginning 
January 1, 2022, and ending December 31, 2022, is June 30, 2022. An 
adjustment factor of 1.03412 was applied to the wages of a hospital 
with such a cost reporting period.
    Previously, we also would provide a Puerto Rico overall average 
hourly wage. As discussed in the FY 2017 IPPS/LTCH PPS final rule (81 
FR 56915), prior to January 1, 2016, Puerto Rico hospitals were paid 
based on 75 percent of the national standardized amount and 25 percent 
of the Puerto Rico-specific standardized amount. As a result, we 
calculated a Puerto Rico specific wage index that was applied to the 
labor-related share of the Puerto Rico-specific standardized amount. 
Section 601 of Division O, Title VI (section 601) of the Consolidated 
Appropriations Act, 2016 (Pub. L. 114-113) amended section 
1886(d)(9)(E) of the Act to specify that the payment calculation with 
respect to operating costs of inpatient hospital services of a 
subsection (d) Puerto Rico hospital for inpatient hospital discharges 
on or after January 1, 2016, shall use 100 percent of the national 
standardized amount. As we stated in the FY 2017 IPPS/LTCH PPS final 
rule (81 FR 56915 through 56916), because Puerto Rico hospitals are no 
longer paid with a Puerto Rico specific standardized amount as of 
January 1, 2016, under section 1886(d)(9)(E) of the Act, as amended by 
section 601 of the Consolidated Appropriations Act, 2016, there is no 
longer a need to calculate a Puerto Rico specific average hourly wage 
and wage index. Hospitals in Puerto Rico are now paid 100 percent of 
the national standardized amount and, therefore, are subject to the 
national average hourly wage (unadjusted for occupational mix) and the 
national wage index, which is applied to the national labor-related 
share of the national standardized amount. Therefore, for FY 2026, 
there is no Puerto Rico-specific overall average hourly wage or wage 
index.
    Based on the previously described methodology, the proposed FY 2026 
unadjusted national average hourly wage is the following:

Proposed FY 2026 Unadjusted National Average Hourly Wage: $57.70

D. Proposed Occupational Mix Adjustment to the FY 2026 Wage Index

    As stated earlier, section 1886(d)(3)(E) of the Act provides for 
the collection of data every 3 years on the occupational mix of 
employees for each short-term, acute care hospital participating in the 
Medicare program, to construct an occupational mix adjustment to the 
wage index, for application beginning October 1, 2004 (the FY 2005 wage 
index). The purpose of the occupational mix adjustment is to control 
for the effect of hospitals' employment choices on the wage index. For 
example, hospitals may choose to employ different combinations of 
registered nurses, licensed practical nurses, nursing aides, and 
medical assistants for the purpose of providing nursing care to their 
patients. The varying labor costs associated with these choices reflect 
hospital management decisions rather than geographic differences in the 
costs of labor.
1. Use of 2022 Medicare Wage Index Occupational Mix Survey for the FY 
2026 Wage Index
    Section 304(c) of Appendix F, Title III of the Consolidated 
Appropriations Act, 2001 (Pub. L. 106-554) amended section 
1886(d)(3)(E) of the Act to require CMS to collect data every 3 years 
on the occupational mix of employees for each short-term, acute care 
hospital participating in the Medicare program and to measure the 
earnings and paid hours of employment for such hospitals by 
occupational category. As discussed in the FY 2025 IPPS/LTCH PPS final 
rule (89 FR 69275 through 69278), we collected data in 2022 to compute 
the occupational mix adjustment for the FY 2025, FY 2026, and FY 2027 
wage indexes.
    The FY 2026 occupational mix adjustment is based on a calendar year 
(CY) 2022 survey. Hospitals were required to submit their completed 
2022 surveys (Form CMS-10079, OMB Control Number 0938-0907, expiration 
date January 31, 2026) to their MACs by July 1, 2023. The preliminary, 
unaudited CY 2022 survey data were posted on the CMS website on July 
12, 2023. As with the Worksheet S-3, Parts II and III cost report wage 
data, as part of the FY 2026 desk review process, the MACs revised or 
verified data elements in hospitals' occupational mix surveys that 
resulted in certain edit failures.
2. Calculation of the Occupational Mix Adjustment for FY 2026
    For FY 2026, we are proposing to calculate the occupational mix 
adjustment factor using the same methodology that we have used since 
the FY 2012 wage index (76 FR 51582 through 51586) and to apply the 
occupational mix adjustment to 100 percent of the FY 2026 wage index. 
In the FY 2020 IPPS/LTCH PPS final rule (84 FR 42308), we modified our 
methodology with regard to how dollar amounts, hours, and other 
numerical values in the unadjusted and adjusted wage index calculation 
are rounded, to ensure consistency in the calculation. According to the 
policy finalized in the FY 2020 IPPS/LTCH PPS final rule (84 FR 42308 
and 42309), for data that we consider to be ``raw data,'' such as the

[[Page 18226]]

cost report data on Worksheets S-3, Parts II and III, and the 
occupational mix survey data, we continue to use these data ``as is'', 
and not round any of the individual line items or fields. However, for 
any dollar amounts within the wage index calculations, including any 
type of summed wage amount, average hourly wages, and the national 
average hourly wage (both the unadjusted and adjusted for occupational 
mix), we round such dollar amounts to 2 decimals. We round any hour 
amounts within the wage index calculations to the nearest whole number. 
We round any numbers not expressed as dollars or hours in the wage 
index calculations, which could include ratios, percentages, or 
inflation factors, to 5 decimals. However, we continue rounding the 
actual unadjusted and adjusted wage indexes to 4 decimals, as we have 
done historically.
    Similar to the method we use for the calculation of the wage index 
without occupational mix, salaries and hours for a multicampus hospital 
are allotted among the different labor market areas where its campuses 
are located. Table 2 associated with this proposed rule (which is 
available via the internet on the CMS website), which contains the 
proposed FY 2026 occupational mix adjusted wage index, includes 
separate wage data for the campuses of multicampus hospitals. We refer 
readers to section III.C. of the preamble of this proposed rule for a 
chart listing the multicampus hospitals and the FTE percentages used to 
allot their occupational mix data.
    Because the statute requires that the Secretary measure the 
earnings and paid hours of employment by occupational category not less 
than once every 3 years, all hospitals that are subject to payments 
under the IPPS, or any hospital that would be subject to the IPPS if 
not granted a waiver, must complete the occupational mix survey, unless 
the hospital has no associated cost report wage data that are included 
in the proposed FY 2026 wage index. For the proposed FY 2026 wage 
index, we used the Worksheet S-3, Parts II and III wage data of 3,029 
hospitals, and we used the occupational mix surveys of 2,945 hospitals 
for which we also had Worksheet S-3 wage data, which represented a 
``response'' rate of 97 percent (2,945/3,029). For the proposed FY 2026 
wage index, we applied proxy data for noncompliant hospitals, new 
hospitals, or hospitals that submitted erroneous or aberrant data in 
the same manner that we applied proxy data for such hospitals in the FY 
2012 wage index occupational mix adjustment (76 FR 51586). As a result 
of applying this methodology, the proposed FY 2026 occupational mix 
adjusted national average hourly wage is the following:

Proposed FY 2026 Occupational Mix Adjusted National Average Hourly 
Wage: $57.63
3. Proposed Occupational Mix Adjustment and the Proposed FY 2026 
Occupational Mix Adjusted Wage Index
    As discussed in section III.E. of the preamble of this proposed 
rule, for FY 2026, we are applying the occupational mix adjustment to 
100 percent of the FY 2026 wage index. We calculated the occupational 
mix adjustment using data from the 2022 occupational mix survey, using 
the methodology described in the FY 2012 IPPS/LTCH PPS final rule (76 
FR 51582-51586).
    Based on the 2022 occupational mix survey data, the proposed FY 
2026 national average hourly wages for each occupational mix nursing 
subcategory as calculated in Step 2 of the occupational mix calculation 
are as follows:

------------------------------------------------------------------------
                                                                Average
             Occupational mix nursing subcategory                hourly
                                                                  wage
------------------------------------------------------------------------
National RN..................................................     $60.47
National LPN and Surgical Technician.........................      35.06
National Nurse Aide, Orderly, and Attendant..................      23.53
National Medical Assistant...................................      23.15
National Nurse Category......................................      50.12
------------------------------------------------------------------------

    The proposed national average hourly wage for the entire nurse 
category is computed in Step 5 of the occupational mix calculation. 
Hospitals with a nurse category average hourly wage (as calculated in 
Step 4) of greater than the national nurse category average hourly wage 
receive an occupational mix adjustment factor (as calculated in Step 6) 
of less than 1.0. Hospitals with a nurse category average hourly wage 
(as calculated in Step 4) of less than the national nurse category 
average hourly wage receive an occupational mix adjustment factor (as 
calculated in Step 6) of greater than 1.0.
    Based on the 2022 occupational mix survey data, we determined (in 
Step 7 of the occupational mix calculation) the following:

National Percentage of Hospital Employees in the Nurse Category: 45%
National Percentage of Hospital Employees in the All Other Occupations 
Category: 55%

E. Hospital Redesignations and Reclassifications

    The following sections III.E.1 through III.E.4 discuss revisions to 
the wage index based on hospital redesignations and reclassifications. 
Specifically, hospitals may have their geographic area changed for wage 
index payment by applying for urban to rural reclassification under 
section 1886(d)(8)(E) of the Act (implemented at Sec.  412.103), 
reclassification by the Medicare Geographic Classification Review Board 
(MGCRB) under section 1886(d)(10) of the Act, Lugar status 
redesignations under section 1886(d)(8)(B) of the Act, or a combination 
of the foregoing.
1. Urban to Rural Reclassification Under Section 1886(d)(8)(E) of the 
Act, Implemented at Sec.  412.103
    Under section 1886(d)(8)(E) of the Act, a qualifying prospective 
payment hospital located in an urban area may apply for rural status 
for payment purposes separate from reclassification through the MGCRB. 
Specifically, section 1886(d)(8)(E) of the Act provides that, not later 
than 60 days after the receipt of an application (in a form and manner 
determined by the Secretary) from a subsection (d) hospital that 
satisfies certain criteria, the Secretary shall treat the hospital as 
being located in the rural area (as defined in paragraph (2)(D)) of the 
State in which the hospital is located. We refer readers to the 
regulations at Sec.  412.103 for the general criteria and application 
requirements for a subsection (d) hospital to reclassify from urban to 
rural status in accordance with section 1886(d)(8)(E) of the Act (such 
hospitals are referred to herein as ``Sec.  412.103 hospitals''). The 
FY 2012 IPPS/LTCH PPS final rule (76 FR 51595 through 51596) includes 
our policies regarding the effect of wage data from reclassified or 
redesignated hospitals. We refer readers to the FY 2024 IPPS/LTCH final 
rule (88 FR 58971 through 58977) for a review of our policy finalized 
in the FY 2023 IPPS/LTCH PPS final rule (87 FR 49004) to calculate the 
rural floor with the wage data of urban hospitals reclassifying to 
rural areas under Sec.  412.103, and discussion of our modification to 
the calculation of the rural wage index and its implications for the 
rural floor.
    In the FY 2019 IPPS/LTCH PPS final rule (83 FR 41369 through 
41374), we codified certain policies regarding multicampus hospitals in 
the regulations at Sec. Sec.  412.92, 412.96, 412.103, and 412.108. We 
stated that reclassifications from urban to rural

[[Page 18227]]

under Sec.  412.103 apply to the entire hospital (that is, the main 
campus and its remote location(s)). We also stated that a main campus 
of a hospital cannot obtain Sole Community Hospital (SCH), Rural 
Referral Center (RRC), or Medicare Dependent Hospital (MDH) status, or 
rural reclassification under Sec.  412.103, independently or separately 
from its remote location(s), and vice versa. In the FY 2023 IPPS/LTCH 
PPS final rule (87 FR 49012 and 49013), we added Sec.  412.103(a)(8) to 
clarify that for a multicampus hospital, approved rural 
reclassification status applies to the main campus and any remote 
location located in an urban area, including a main campus or any 
remote location deemed urban under section 1886(d)(8)(B) of the Act. If 
a remote location of a hospital is located in a different CBSA than the 
main campus of the hospital, it is CMS' longstanding policy to assign 
that remote location a wage index based on its own geographic area to 
comply with the statutory requirement to adjust for geographic 
differences in hospital wage levels (section 1886(d)(3)(E) of the Act). 
Hospitals are required to identify and allocate wages and hours based 
on FTEs for remote locations located in different CBSAs on Worksheet S-
2, Part I, Lines 165 and 166 of form CMS-2552-10. In calculating wage 
index values, CMS identifies the allocated wage data for these remote 
locations in Table 2 with a ``B'' in the 3rd position of the CCN. These 
remote locations of hospitals with Sec.  412.103 rural reclassification 
status in a different CBSA are identified in Table 2, and hospitals 
should evaluate potential wage index outcomes for their remote 
location(s) when withdrawing or terminating MGCRB reclassification, or 
canceling Sec.  412.103 rural reclassification status.
    We also note that in the FY 2025 IPPS/LTCH PPS Final Rule (89 FR 
69279 through 69280), we reminded hospitals located in rural areas 
becoming urban under the adoption of the revised OMB delineations in FY 
2025 that if they have SCH, MDH, or RRC status, they may choose to 
apply for a Sec.  412.103 urban to rural reclassification if qualifying 
criteria are met to maintain the SCH, MDH, or RRC status. We advised 
hospitals to evaluate their options and if desired, apply for Sec.  
412.103 urban to rural reclassification before the beginning of FY 
2025, to avoid a lapse in SCH, MDH, or RRC status at the beginning of 
FY 2025. We note that the ``Am I Rural'' tool currently available on 
the Rural Health Information Hub \200\ website at https://www.ruralhealthinfo.org/am-i-rural was updated on November 21, 2024, 
based on data provided by the Federal Office of Rural Health Policy 
which is available at https://www.hrsa.gov/rural-health/about-us/what-is-rural/data-files. As discussed at Sec.  412.103(f), the duration of 
an approved rural reclassification remains in effect without need for 
reapproval unless there is a change in the circumstances under which 
the classification was approved. If a hospital located in an urban area 
was approved for a rural reclassification under Sec.  412.103(a)(1), 
that reclassification would no longer be valid if the hospital is no 
longer located within a rural census tract of an MSA as determined by 
the Federal Office of Rural Health Policy (FORHP) of the Health 
Resources and Services Administration (HRSA). Therefore, we encourage 
all hospitals and CAHs with active rural reclassifications under 
section 1886(d)(8)(E) of the Act to review their original 
reclassification application and determine whether the reclassification 
status would still apply.
---------------------------------------------------------------------------

    \200\ The Rural Health Information Hub is supported by the 
Health Resources and Services Administration (HRSA) of HHS under 
Grant Number U56RH05539 (Rural Assistance Center for Federal Office 
of Rural Health Policy Cooperative Agreement). Any information, 
content, or conclusions on this website are those of the authors and 
should not be construed as the official position or policy of, nor 
should any endorsements be inferred by HRSA, HHS or the U.S. 
Government.
---------------------------------------------------------------------------

    Finally, in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69280), CMS 
finalized a policy regarding terminated or ``tied-out'' hospitals, to 
address our concerns regarding the impacts these hospitals would have 
on rural wage index values. Specifically, we finalized a policy that 
Sec.  412.103 reclassifications would be considered cancelled for the 
purposes of calculating the area wage index for any hospital with a CCN 
listed as terminated or ``tied-out'' as of the date that the hospital 
ceased to operate with an active CCN. We stated that we would obtain 
and review the best available CCN termination status lists as of the 
Sec.  412.103(b)(6) ``lock-in'' date (60 days after the proposed rule 
for the FY is displayed in the Federal Register), consistent with the 
wage index development timeline. The lock-in date is used to determine 
whether a hospital has been approved for Sec.  412.103 reclassification 
in time for that status to be included in the upcoming year's wage 
index development.
    We noted that our policy to consider Sec.  412.103 
reclassifications cancelled for the purposes of calculating area wage 
index for any hospital with a CCN listed as terminated or ``tied-out'' 
is not intended to alter or affect the qualification for Critical 
Access Hospital (CAH), Sole Community Hospital (SCH), or Rural 
Emergency Hospital (REH) statuses or to have other effects unrelated to 
hospital wage index calculations. The rural reclassification status 
would remain in effect for any period that the original PPS hospital 
remains in operation with an active CCN. For REH qualification 
requirement purposes, this would include the date of enactment of the 
Consolidated Appropriations Act, 2021 (Pub. L. 116-260), which was 
December 27, 2020.
2. General Policies and Effects of MGCRB Reclassification and Treatment 
of Dual Reclassified Hospitals
    Under section 1886(d)(10) of the Act, the MGCRB considers 
applications by hospitals for geographic reclassification for purposes 
of payment under the IPPS. Hospitals must apply to the MGCRB to 
reclassify not later than 13 months prior to the start of the fiscal 
year for which reclassification is sought (usually by September 1). 
Generally, hospitals must be proximate to the labor market area to 
which they are seeking reclassification and must demonstrate 
characteristics similar to hospitals located in that area. The MGCRB 
issues its decisions not later than the end of February for 
reclassifications that become effective for the following fiscal year 
(beginning October 1). The regulations applicable to reclassifications 
by the MGCRB are located in Sec. Sec.  412.230 through 412.280. (We 
refer readers to a discussion in the FY 2002 IPPS final rule (66 FR 
39874 and 39875) regarding how the MGCRB defines mileage for purposes 
of the proximity requirements.) The general policies for 
reclassifications and redesignations and the policies for the effects 
of hospitals' reclassifications and redesignations on the wage index 
are discussed in the FY 2012 IPPS/LTCH PPS final rule for the FY 2012 
final wage index (76 FR 51595 and 51596).
    In addition, in the FY 2012 IPPS/LTCH PPS final rule, we discussed 
the effects on the wage index of urban hospitals reclassifying to rural 
areas under Sec.  412.103. In the FY 2020 IPPS/LTCH PPS final rule (84 
FR 42332 through 42336), we finalized a policy to exclude the wage data 
of urban hospitals reclassifying to rural areas under Sec.  412.103 
from the calculation of the rural floor, but we reverted to the pre-FY 
2020 policy in the FY 2023 IPPS/LTCH PPS final rule (87 FR 49002 
through 49004). Hospitals that are geographically located in States 
without any rural areas are ineligible to apply for rural 
reclassification in accordance with the provisions of Sec.  412.103.

[[Page 18228]]

    On April 21, 2016, we published an interim final rule with comment 
period (IFC) in the Federal Register (81 FR 23428 through 23438) that 
included provisions amending our regulations to allow hospitals 
nationwide to have simultaneous Sec.  412.103 urban to rural and MGCRB 
reclassifications. Prior to this amendment to the regulations, 
hospitals had to choose between a Sec.  412.103 urban to rural 
reclassification which confers other rural benefits (Medicare 
provisions such as payments to disproportionate share hospitals (DSHs), 
and non-Medicare payment provisions, such as the 340B Drug Pricing 
Program administered by HRSA) besides the wage index under section 
1886(d) of the Act or a reclassification under the MGCRB to solely 
increase its wage index. Under the amended regulations, a hospital that 
has an active MGCRB reclassification and is then approved for an urban 
to rural reclassification under Sec.  412.103 will not lose its MGCRB 
reclassification. Additionally, a hospital is no longer required to 
cancel its Sec.  412.103 reclassification in order to be approved for 
an MGCRB reclassification. By amending the regulations and allowing a 
hospital to pursue reclassification under the MGCRB while also 
maintaining a rural reclassification under Sec.  412.103, hospitals are 
accorded the benefits of a Sec.  412.103 urban to rural 
reclassification and the ability to use distance and average hourly 
wage criteria designated for rural hospitals to obtain a higher wage 
index value through an MGCRB reclassification. We note, for wage index 
calculation and payment purposes, when there is both a Sec.  412.103 
reclassification and an MGCRB reclassification, the MGCRB 
reclassification controls for wage index calculation and payment 
purposes.
    Prior to FY 2024, we excluded hospitals with Sec.  412.103 urban to 
rural redesignations from the calculation of the reclassified rural 
wage index if they also have an active MGCRB reclassification to 
another area. That is, if an application for urban reclassification 
through the MGCRB is approved and is not withdrawn or terminated by the 
hospital within the established timelines, we considered the hospital's 
geographic CBSA and the urban CBSA to which the hospital is 
reclassified under the MGCRB for the wage index calculation. We refer 
readers to the April 21, 2016, IFC (81 FR 23428 through 23438) and the 
FY 2017 IPPS/LTCH PPS final rule (81 FR 56922 through 56930), in which 
we finalized the April 21, 2016, IFC, for a full discussion of the 
effect of simultaneous reclassifications under both the Sec.  412.103 
and the MGCRB processes on wage index calculations. For FY 2024 and 
subsequent years, we refer readers to the FY 2024 IPPS/LTCH PPS final 
rule for discussion of our policy to include hospitals with a Sec.  
412.103 reclassification that also have an active MGCRB 
reclassification to another area in the calculation of the reclassified 
rural wage index (88 FR 58971 through 58977).
3. MGCRB Reclassification Issues for FY 2026
a. FY 2026 Reclassification Application Requirements and Approvals
    As previously stated, under section 1886(d)(10) of the Act, the 
MGCRB considers applications by hospitals for geographic 
reclassification for purposes of payment under the IPPS. The specific 
procedures and rules that apply to the geographic reclassification 
process are outlined in regulations under 42 CFR 412.230 through 
412.280. There are 639 hospitals approved for wage index 
reclassifications by the MGCRB starting in FY 2026. Because MGCRB wage 
index reclassifications are effective for 3 years, for FY 2026, 
hospitals reclassified beginning in FY 2024 or FY 2025 are eligible to 
continue to be reclassified to a particular labor market area based on 
such prior reclassifications for the remainder of their 3-year period. 
There were 280 hospitals approved for wage index reclassifications in 
FY 2024 that will continue for FY 2026, and 278 hospitals approved for 
wage index reclassifications in FY 2025 that will continue for FY 2026. 
Of all the hospitals approved for reclassification for FY 2024, FY 
2025, and FY 2026, 1,197 hospitals (approximately 36 percent of IPPS 
hospitals) are in a MGCRB reclassification status for FY 2026 (with 279 
of these hospitals reclassified back to their urban geographic 
location). We note that several of the 639 hospitals approved for MGCRB 
reclassifications beginning in FY 2026 may opt to withdraw this status 
after the final rule, and a prior year reclassification may become 
effective in its place. We refer readers to section III.F.3.b. of the 
preamble of this proposed rule for information on the effects of 
implementation of new OMB labor market area delineations on 
reclassified hospitals.
    Under the regulations at Sec.  412.273, hospitals that have been 
reclassified by the MGCRB are permitted to withdraw their applications 
if the request for withdrawal is received by the MGCRB any time before 
the MGCRB issues a decision on the application, or after the MGCRB 
issues a decision, provided the request for withdrawal is received by 
the MGCRB within 45 days of the date of filing for public inspection of 
the proposed rule at the website of the Office of the Federal Register, 
or within 7 calendar days of receiving a decision of the 
Administrator's in accordance with Sec.  412.273, whichever is later.
    For information about the current process for withdrawing, 
terminating, or canceling a previous withdrawal or termination of a 3-
year reclassification for wage index purposes, we refer readers to 
Sec.  412.273, as well as section III.E.3.b. of the preamble of this 
proposed rule, and the FY 2002 IPPS final rule (66 FR 39887 through 
39888) and the FY 2003 IPPS final rule (67 FR 50065 through 50066). 
Additional discussion on withdrawals and terminations was included in 
the FY 2008 IPPS final rule (72 FR 47333) and the FY 2018 IPPS/LTCH PPS 
final rule (82 FR 38148 through 38150).
    Applications for FY 2027 reclassifications are due to the MGCRB by 
September 2, 2025 (Note: While the deadline for reclassification 
applications is not later than 13 months prior to the start of the 
fiscal year for which reclassification is sought, usually by September 
1, the Board has historically allowed submission up to the first 
business day in September, which is September 2, 2025, due to Labor 
Day). This is also the current deadline for canceling a previous wage 
index reclassification withdrawal or termination under Sec.  412.273(d) 
for the FY 2026 cycle.
    Applications and other information about MGCRB reclassifications 
may be obtained beginning in mid-July 2025 via the internet on the CMS 
website at https://www.cms.gov/medicare/regulations-guidance/geographic-classification-review-board. This collection of information 
was previously approved under OMB Control Number 0938-0573, which 
expired on January 31, 2021. A reinstatement of this PRA package is 
currently being developed. The public will have an opportunity to 
review and submit comments regarding the reinstatement of this PRA 
package through a public notice and comment period separate from this 
rulemaking.
b. Proposed Revisions to Sec.  412.273 To Simplify MGCRB Reinstatements
    As discussed in the previous section, under the regulations at 
Sec.  412.273, hospitals that have been reclassified by the MGCRB are 
permitted to withdraw their applications if the request for withdrawal 
is received by the MGCRB any time before the MGCRB issues a decision on 
the application, or after the

[[Page 18229]]

MGCRB issues a decision, provided the request for withdrawal is 
received by the MGCRB within 45 days of the date of filing for public 
inspection of the proposed rule at the website of the Office of the 
Federal Register, or within 7 calendar days of receiving a decision of 
the Administrator's in accordance with Sec.  412.273, whichever is 
later. Hospitals may also terminate an existing approved 
reclassification, effective for the second and third year of the three 
year reclassification period or both, provided the request for 
termination is received by the MGCRB within 45 days of the date of 
filing for public inspection of the proposed rule at the website of the 
Office of the Federal Register, or within 7 calendar days of receiving 
a decision of the Administrator's in accordance with Sec.  412.273, 
whichever is later.
    Furthermore, these withdrawal and termination requests may be 
cancelled by submitting a request by the next application deadline for 
MGCRB application, reinstating the withdrawn or terminated 
reclassification for the remaining years of the reclassification.
    We believe this process allows hospitals to maintain flexibility in 
choosing the optimal reclassification status for any given fiscal year, 
while balancing the need for consistency and predictability of the wage 
index system. However, we also believe the regulations Sec.  412.273 
can be confusing and contain complicated definitions and language. We 
are proposing revisions to multiple paragraphs of Sec.  412.273 to 
clarify current policy and revise definitions in a more straightforward 
and understandable manner.
    The first consideration is CMS's definitions of a withdrawal and a 
termination in Sec.  412.273(a). Termination refers to the termination 
of an already existing 3-year MGCRB reclassification where such 
reclassification has already been in effect for 1 or 2 years, and there 
are 1 or 2 years remaining on the 3-year reclassification. A 
termination is effective only for the full fiscal year(s) remaining in 
the 3-year period at the time the request is received. Requests for 
terminations for part of a fiscal year are not considered. Withdrawal 
refers to the withdrawal of a 3-year MGCRB reclassification that has 
not yet gone into effect or where the MGCRB has not yet issued a 
decision on the application.
    Stated generally, a withdrawal is an action taken upon a 
reclassification that has either not yet been reviewed by the MGCRB, or 
an approved reclassification due to go into effect in that upcoming 
fiscal year, and a termination is an action taken on an approved 
reclassification that has already gone into effect. There are policy 
considerations for defining withdrawals and terminations separately. 
For example, county group reclassification withdrawals must include all 
parties to the application, while a termination may be submitted by any 
individual hospital that is party to the application. For reasons 
discussed later in this section, we continue to believe this is the 
appropriate policy. However, we believe that specifically citing this 
policy exception in regulation is more straightforward than maintaining 
differing definitions for substantially similar actions. Therefore, for 
consistency and simplicity we are proposing to modify the definition of 
a withdrawal to only include requests made prior to a decision being 
made by the MGCRB. The definition of termination would encompass all 
post-decision actions to forgo the upcoming years of an approved 
reclassification. Specifically, we are proposing to modify Sec.  
412.273(a) to provide that a termination refers to the termination of 
an approved 3-year MGCRB reclassification. A termination is effective 
only for the full fiscal year(s) remaining in the 3-year period at the 
time the request is received. Requests for terminations for part of a 
fiscal year are not considered. We would also specify that a withdrawal 
refers to the withdrawal of a 3-year MGCRB reclassification where the 
MGCRB has not yet issued a decision on the application.
    We are also proposing to remove Sec.  412.273(c)(1)(i) and (ii) and 
revise paragraph (c)(1) to indicate that a request for withdrawal must 
be received by the MGCRB at any time before the MGCRB issues a decision 
on the application.
    There is also a current process for cancelling an eligible 
withdrawal or termination in order to make the reclassification 
effective for any remaining years of the 3-year reclassification 
period. We note that this process is widely referring to as a request 
for ``reinstatement.'' To provide clarity and consistency, we are 
proposing to modify several references in Sec.  412.273(d) from 
``cancelling'' or a ``cancellation'' to ``reinstating'' or 
``reinstatement.'' As we are proposing that withdrawals be limited to 
applications prior to approval, a proposed reinstatement would only 
apply to the proposed modified definition of a termination. Therefore, 
we are proposing to delete the references to withdrawals from Sec.  
412.273(d)(1).
    As discussed earlier in this section, we continue to believe that 
all parties to a county group reclassification must participate on any 
action prior to the effective date of a group reclassification. Under 
current policy, this would include whether to withdraw a 
reclassification in the timeframe described at Sec.  412.273(c)), and 
whether to cancel an approved reclassification withdrawal request to 
reinstate the remaining second and third year of the approved group 
reclassification, as described at Sec.  412.273(d)(2). We believe that 
requiring these actions to include all parties to the group 
reclassification reduces the possibility of one or more parties 
withdrawing from a reclassification to the benefit or detriment of 
other hospitals reclassified to that labor market area. For example, a 
hospital may be incentivized to withdraw a potentially beneficial 
reclassification if the exclusion of its wage data in the reclassified 
area would increase the wage index value. This type of manipulation of 
reclassification policy does not encourage stability or predictability 
of wage index system and is contrary to the concept of providing 
hospitals in a county an opportunity to obtain a reclassification that 
they may not be able to obtain through an individual reclassification. 
Therefore, we are proposing to continue the current policy by modifying 
the current regulation to explicitly state that the proposed modified 
withdrawal requests and proposed modified termination and reinstatement 
requests made prior to the effective date of the reclassification (that 
is, any request made prior to the first year the reclassification goes 
into effect), must include all parties to the application. 
Specifically, we are proposing to modify Sec.  412.273(e), by modifying 
paragraph (e)(2) to state that a request to terminate an approved 
individual reclassification must be submitted in writing to the MGCRB 
according to the method prescribed by the MGCRB and adding a new 
paragraph (e)(3) specifying that a request to terminate or reinstate an 
approved group reclassification must be submitted in writing to the 
MGCRB according to the method prescribed by the MGCRB. A request to 
terminate or reinstate an approved group reclassification that has not 
yet gone into effect must include all hospitals party to the 
reclassification. Termination requests for group reclassification for 
the second or third year of the 3-year wage index reclassification 
period and reinstatement requests for a group reclassification 
effective for the third

[[Page 18230]]

year of the 3-year wage index reclassification period may be submitted 
by any individual hospital that is party to the reclassification.
    We believe that this proposal to explicitly state this policy 
regarding county group reclassification in regulation reduces confusion 
for hospitals and more clearly addresses our intent.
    To provide clarity, we are also proposing to state that a 
termination of a 3-year reclassification defined at Sec.  412.273(d)(4) 
is not eligible to be reinstated. This type of termination of an 
approved reclassification occurs when a hospital receives a different 
MGCRB reclassification in a subsequent fiscal year. Under current 
policy, hospitals may effectively choose between accepting a newly 
approved reclassification, or to withdraw it and ``fallback'' to a 
previously approved reclassification. We believe this provides 
sufficient flexibility for hospitals to obtain the most beneficial 
reclassification. However, once an approved reclassification goes into 
effect, we believe it is appropriate to permanently terminate other 
previously approved reclassifications. Doing so provides a degree of 
predictability and consistency in the wage index calculations by 
limiting hospitals to a total of two potential MGCRB reclassification 
options. This is the current policy of CMS and the current practice of 
the MGCRB. We are proposing specifically state this policy in 
regulation by providing in Sec.  412.273(d)(4) that the terminated 
reclassification in such a case is not eligible for reinstatement.
    We are proposing the preceding changes to become effective for 
requests made beginning in FY 2026. The current policies and 
definitions will continue for the remainder of FY 2025. We note that 
hospitals currently use the Office of Hearings Case and Document 
Management System (OH CDMS) to enter and maintain their MGCRB cases, 
and to correspond with the Office of Hearings. We are aware that the 
proposed changes will require system changes to the OH CDMS, and there 
could be some delay in revising certain terminology. However, nothing 
in the section is intended to significantly modify current policies and 
practices. Instead, it serves to clarify and simplify the process of 
determining whether an approved reclassification should be accepted and 
applied in a given fiscal year. We also believe that in making these 
changes, the regulation will provide clearer instructions to hospitals.
    Finally, we note that under the current and proposed policies, 
there is no negative effect for a hospital to reinstate (cancel a 
withdrawal or termination) for a subsequent year, as the 
reclassification could be terminated in the following year, and 
hospitals are eligible to reapply for wage index reclassification to a 
different labor market area. When eligible, a large majority of 
hospitals already do this, as it provides greater flexibility and 
options for wage index reclassification. Before the introduction of the 
OH CDMS, these reinstatement requests were often submitted 
simultaneously with a withdrawal or termination request. However, in 
the online system, the option to reinstate is typically only made 
available after all withdrawal and termination requests have been 
processed. We have considered a policy modification to make termination 
requests effective for only one fiscal year. That is, all requests to 
withdraw or terminate a reclassification made in the timeframe 
specified at Sec.  412.273(c) would automatically be reinstated for any 
remaining fiscal years, without the need of a second action to 
reinstate it. We have not fully evaluated the impact of such a policy 
but may consider it in future rulemaking.
4. Redesignations Under Section 1886(d)(8)(B) of the Act
a. Lugar Status Determinations
    In the FY 2012 IPPS/LTCH PPS final rule (76 FR 51599 through 
51600), we adopted the policy that, beginning with FY 2012, an eligible 
hospital that waives its Lugar status to receive the out-migration 
adjustment has effectively waived its deemed urban status and, thus, is 
rural for all purposes under the IPPS effective for the fiscal year in 
which the hospital receives the outmigration adjustment. In addition, 
in that rule, we adopted a minor procedural change that would allow a 
Lugar hospital that qualifies for and accepts the out-migration 
adjustment (through written notification to CMS within 45 days from the 
issuance of the proposed rule in the Federal Register) to waive its 
urban status for the full 3-year period for which its out-migration 
adjustment is effective. By doing so, such a Lugar hospital would no 
longer be required during the second and third years of eligibility for 
the out-migration adjustment to advise us annually that it prefers to 
continue being treated as rural and receive the out-migration 
adjustment. In the FY 2017 IPPS/LTCH PPS final rule (81 FR 56930), we 
further clarified that if a hospital wishes to reinstate its urban 
status for any fiscal year within this 3-year period, it must send a 
request to CMS within 45 days of the issuance of the proposed rule in 
the Federal Register for that particular fiscal year. We indicated that 
such reinstatement requests may be sent electronically to 
[email protected]. In the FY 2018 IPPS/LTCH PPS final rule (82 FR 
38147 through 38148), we finalized a policy revision to require a Lugar 
hospital that qualifies for and accepts the out-migration adjustment, 
or that no longer wishes to accept the out-migration adjustment and 
instead elects to return to its deemed urban status, to notify CMS 
within 45 days from the date of public display of the proposed rule at 
the Office of the Federal Register. These revised notification 
timeframes were effective beginning October 1, 2017. In addition, in 
the FY 2018 IPPS/LTCH PPS final rule (82 FR 38148), we clarified that 
both requests to waive and to reinstate ``Lugar'' status may be sent to 
[email protected]. To ensure proper accounting, we request 
hospitals to include their CCN, and either ``waive Lugar'' or 
``reinstate Lugar'', in the subject line of these requests. When 
applicable, this election would result in a cancelation of a hospital's 
rural reclassification status under Sec.  412.103, effective October 1, 
2025. We also inform hospitals that for the request to be approved, the 
hospital must withdraw or terminate any active MGCRB reclassification. 
All requests, once approved, will remain in effect for the remainder of 
the 3-year out-migration adjustment period.
    In the FY 2020 IPPS/LTCH PPS final rule (84 FR 42314 and 42315), we 
clarified that in circumstances where an eligible hospital elects to 
receive the outmigration adjustment within 45 days of the public 
display date of the proposed rule at the Office of the Federal Register 
in lieu of its Lugar wage index reclassification, and the county in 
which the hospital is located would no longer qualify for an 
outmigration adjustment when the final rule (or a subsequent correction 
notice) wage index calculations are completed, the hospital's request 
to accept the outmigration adjustment would be denied, and the hospital 
would be automatically assigned to its deemed urban status under 
section 1886(d)(8)(B) of the Act. We stated that final rule wage index 
values would be recalculated to reflect this reclassification, and in 
some instances, after taking into account this reclassification, the 
out-migration adjustment for the county in question could be restored 
in the final rule. However, as the hospital is assigned a Lugar 
reclassification under section

[[Page 18231]]

1886(d)(8)(B) of the Act, it would be ineligible to receive the county 
outmigration adjustment under section 1886(d)(13)(G) of the Act.

F. Wage Index Adjustments: Rural Floor, Imputed Floor, State Frontier 
Floor, Out-Migration Adjustment, Low Wage Index Hospital, and Cap on 
Wage Index Decrease Policies

    The following adjustments to the wage index are listed in the order 
that they are generally applied. First, the rural floor, imputed floor, 
and state frontier floor provide a minimum wage index. The rural floor 
at section 4410(a) of the Balanced Budget Act of 1997 (Pub. L. 105-33) 
provides that the wage index for hospitals in urban areas of a State 
may not be less than the wage index applicable to hospitals located in 
rural areas in that State. The imputed floor at section 
1886(d)(3)(E)(iv) of the Act provides a wage index minimum for all-
urban states. The state frontier floor at section 1886(d)(3)(E)(iii) of 
the Act requires that hospitals in frontier states cannot be assigned a 
wage index of less than 1.0000. Next, the out-migration adjustment at 
section 1886(d)(13)(A) of the Act is applied, potentially increasing 
the wage index for hospitals located in certain counties that have a 
relatively high percentage of hospital employees who reside in the 
county but work in a different county or counties with a higher wage 
index. For FY 2026 and subsequent fiscal years, as discussed later in 
this section, after considering the D.C. Circuit's decision in 
Bridgeport Hosp. v. Becerra, we are proposing to discontinue the low 
wage index hospital policy. Because we are proposing to discontinue the 
low wage index hospital policy for FY 2026 and subsequent fiscal years, 
we would no longer apply a low wage index budget neutrality factor to 
the standardized amounts. Finally, all hospital wage index decreases 
are capped at 95 percent of the hospital's final wage index in the 
prior fiscal year, according to the policy finalized in the FY 2023 
IPPS/LTCH PPS final rule (87 FR 49018 through 49021).
1. Rural Floor
    Section 4410(a) of the Balanced Budget Act of 1997 (Pub. L. 105-33) 
provides that, for discharges on or after October 1, 1997, the area 
wage index applicable to any hospital that is located in an urban area 
of a State may not be less than the area wage index applicable to 
hospitals located in rural areas in that State. This provision is 
referred to as the rural floor. Section 3141 of the Patient Protection 
and Affordable Care Act (Pub. L. 111-148) also requires that a national 
budget neutrality adjustment be applied in implementing the rural 
floor. Based on the FY 2026 wage index associated with this proposed 
rule (which is available on the CMS website), and based on the 
calculation of the rural floor including the wage data of hospitals 
that have reclassified as rural under Sec.  412.103, we estimate that 
565 hospitals would receive the rural floor in FY 2026. The budget 
neutrality impact of the proposed application of the rural floor is 
discussed in section II.A.4.e. of Addendum A of this proposed rule.
    In the FY 2023 IPPS/LTCH PPS final rule (87 FR 48784), CMS 
finalized a policy change to calculate the rural floor in the same 
manner as we did prior to the FY 2020 IPPS/LTCH PPS final rule, in 
which the rural wage index sets the rural floor. We stated that for FY 
2023 and subsequent years, we would include the wage data of Sec.  
412.103 hospitals that have no Medicare Geographic Classification 
Review Board (MGCRB) reclassification in the calculation of the rural 
floor, and include the wage data of such hospitals in the calculation 
of ``the wage index for rural areas in the State in which the county is 
located'' as referred to in section 1886(d)(8)(C)(iii) of the Act.
    In the FY 2024 IPPS/LTCH final rule (88 FR 58971 through 58977), we 
finalized a policy change beginning that year to include the data of 
all Sec.  412.103 hospitals, even those that have an MGCRB 
reclassification, in the calculation of the rural floor and the 
calculation of ``the wage index for rural areas in the State in which 
the county is located'' as referred to in section 1886(d)(8)(C)(iii) of 
the Act. We explained that after revisiting the case law, prior public 
comments, and the relevant statutory language, we agreed that the best 
reading of section 1886(d)(8)(E)'s text that CMS ``shall treat the 
[Sec.  412.103] hospital as being located in the rural area'' is that 
it instructs CMS to treat Sec.  412.103 hospitals the same as 
geographically rural hospitals for the wage index calculation.
    Accordingly, in the FY 2024 IPPS/LTCH PPS final rule, we finalized 
a policy to include hospitals with Sec.  412.103 reclassification along 
with geographically rural hospitals in all rural wage index 
calculations, and to exclude ``dual reclass'' hospitals (hospitals with 
simultaneous Sec.  412.103 and MGCRB reclassifications) that are 
implicated by the hold harmless provision at section 1886(d)(8)(C)(ii) 
of the Act. (For additional information on these changes, we refer 
readers to the FY 2024 IPPS/LTCH PPS final rule (88 FR 58971 through 
58977).)
2. Imputed Floor
    In the FY 2005 IPPS final rule (69 FR 49109 through 49111), we 
adopted the imputed floor policy as a temporary 3-year regulatory 
measure to address concerns from hospitals in all-urban States that 
have stated that they are disadvantaged by the absence of rural 
hospitals to set a wage index floor for those States. We extended the 
imputed floor policy eight times since its initial implementation, the 
last of which was adopted in the FY 2018 IPPS/LTCH PPS final rule and 
expired on September 30, 2018. We refer readers to further discussions 
of the imputed floor in the IPPS/LTCH PPS final rules from FYs 2014 
through 2019 (78 FR 50589 through 50590, 79 FR 49969 through 49971, 80 
FR 49497 through 49498, 81 FR 56921 through 56922, 82 FR 38138 through 
38142, and 83 FR 41376 through 41380, respectively) and to the 
regulations at Sec.  412.64(h)(4). For FYs 2019, 2020, and 2021, 
hospitals in all-urban states received a wage index that was calculated 
without applying an imputed floor, and we no longer included the 
imputed floor as a factor in the national budget neutrality adjustment.
    Section 9831 of the American Rescue Plan Act of 2021 (Pub. L. 117-
2), enacted on March 11, 2021, amended section 1886(d)(3)(E)(i) of the 
Act and added section 1886(d)(3)(E)(iv) of the Act to establish a 
minimum area wage index for hospitals in all-urban States for 
discharges occurring on or after October 1, 2021. Specifically, section 
1886(d)(3)(E)(iv)(I) and (II) of the Act provides that for discharges 
occurring on or after October 1, 2021, the area wage index applicable 
to any hospital in an all-urban State may not be less than the minimum 
area wage index for the fiscal year for hospitals in that State 
established using the methodology described in Sec.  412.64(h)(4)(vi) 
as in effect for FY 2018. Unlike the imputed floor that was in effect 
from FYs 2005 through 2018, section 1886(d)(3)(E)(iv)(III) of the Act 
provides that the imputed floor wage index shall not be applied in a 
budget neutral manner. Section 1886(d)(3)(E)(iv)(IV) of the Act 
provides that, for purposes of the imputed floor wage index under 
clause (iv), the term all-urban State means a State in which there are 
no rural areas (as defined in section 1886(d)(2)(D) of the Act) or a 
State in which there are no hospitals classified as rural under section 
1886 of the Act. Under this definition, given that it applies for 
purposes of the imputed floor wage index, we consider a hospital to be 
classified as rural under section

[[Page 18232]]

1886 of the Act if it is assigned the State's rural area wage index 
value.
    Effective beginning October 1, 2021 (FY 2022), section 
1886(d)(3)(E)(iv) of the Act reinstated the imputed floor wage index 
policy for all-urban States, with no expiration date, using the 
methodology described in Sec.  412.64(h)(4)(vi) as in effect for FY 
2018. We refer readers to the FY 2022 IPPS/LTCH PPS final rule (86 FR 
45176 through 45178) for further discussion of the original imputed 
floor calculation methodology implemented in FY 2005 and the 
alternative methodology implemented in FY 2013.
    Based on data available for this proposed rule, States that will be 
all-urban States as defined in section 1886(d)(3)(E)(iv)(IV) of the 
Act, and thus hospitals in such States that will be eligible to receive 
an increase in their wage index due to application of the imputed floor 
for FY 2026, are identified in Table 3 (which is available on the CMS 
website) associated with this proposed rule.
    The regulations at Sec.  412.64(e)(1) and (4) and (h)(4) and (5) 
implement the imputed floor required by section 1886(d)(3)(E)(iv) of 
the Act for discharges occurring on or after October 1, 2021. The 
imputed floor will continue to be applied for FY 2026 in accordance 
with the policies adopted in the FY 2022 IPPS/LTCH PPS final rule. For 
more information regarding our implementation of the imputed floor 
required by section 1886(d)(3)(E)(iv) of the Act, we refer readers to 
the discussion in the FY 2022 IPPS/LTCH PPS final rule (86 FR 45176 
through 45178).
3. State Frontier Floor for FY 2026
    Section 10324 of Public Law 111-148 requires that hospitals in 
frontier States cannot be assigned a wage index of less than 1.0000. 
(We refer readers to the regulations at Sec.  412.64(m) and to a 
discussion of the implementation of this provision in the FY 2011 IPPS/
LTCH PPS final rule (75 FR 50160 through 50161).) We are not proposing 
any changes to the frontier floor policy for FY 2026. In this proposed 
rule, 40 hospitals would receive the frontier floor value of 1.0000 for 
their FY 2026 proposed wage index. These hospitals are located in 
Montana, North Dakota, South Dakota, and Wyoming. We note that while 
Nevada meets the criteria of a frontier State, all hospitals within the 
State currently receive a wage index value greater than 1.0000.
    The areas affected by the rural and frontier floor policies for the 
proposed FY 2026 wage index are identified in Table 3 associated with 
this proposed rule, which is available via the internet on the CMS 
website.
4. Proposed Out-Migration Adjustment Based on Commuting Patterns of 
Hospital Employees
    In accordance with section 1886(d)(13) of the Act, as added by 
section 505 of Public Law 108-173, beginning with FY 2005, we 
established a process to make adjustments to the hospital wage index 
based on commuting patterns of hospital employees (the ``out-
migration'' adjustment). The process, outlined in the FY 2005 IPPS 
final rule (69 FR 49061), provides for an increase in the wage index 
for hospitals located in certain counties that have a relatively high 
percentage of hospital employees who reside in the county but work in a 
different county (or counties) with a higher wage index.
    Section 1886(d)(13)(B) of the Act requires the Secretary to use 
data the Secretary determines to be appropriate to establish the 
qualifying counties. When the provision of section 1886(d)(13) of the 
Act was implemented for the FY 2005 wage index, we analyzed commuting 
data compiled by the U.S. Census Bureau that were derived from a 
special tabulation of the 2000 Census journey-to-work data for all 
industries (CMS extracted data applicable to hospitals). These data 
were compiled from responses to the ``long-form'' survey, which the 
Census Bureau used at that time, and which contained questions on where 
residents in each county worked (69 FR 49062). However, the 2010 Census 
was ``short form'' only; information on where residents in each county 
worked was not collected as part of the 2010 Census. The Census Bureau 
worked with CMS to provide an alternative dataset based on the latest 
available data on where residents in each county worked in 2010, for 
use in developing a new out-migration adjustment based on new commuting 
patterns developed from the 2010 Census data beginning with FY 2016.
    To determine the out-migration adjustments and applicable counties 
for FY 2016, we analyzed commuting data compiled by the Census Bureau 
that were derived from a custom tabulation of the American Community 
Survey (ACS), an official Census Bureau survey, utilizing 2008 through 
2012 (5-year) Microdata. The data were compiled from responses to the 
ACS questions regarding the county where workers reside and the county 
to which workers commute. As we discussed in prior IPPS/LTCH PPS final 
rules, we have applied the same policies, procedures, and computations 
since FY 2012. We refer readers to the FY 2016 IPPS/LTCH PPS final rule 
(80 FR 49500 through 49502) for a full explanation of the revised data 
source. We also stated that we would consider determining out-migration 
adjustments based on data from the next Census or other available data, 
as appropriate.
    As discussed above in section III.A.2., in the FY 2025 IPPS/LTCH 
PPS final rule (89 FR 69253 through 69266), CMS adopted revised 
delineations from the OMB Bulletin 23-01, published July 21, 2023. The 
revised delineations incorporated population estimates based on the 
2020 decennial census, as well as updated journey-to-work commuting 
data. The Census Bureau once again worked with CMS to provide an 
alternative dataset based on the latest available data on where 
residents in each county worked, for use in developing a new out-
migration adjustment based on new commuting patterns. We analyzed 
commuting data compiled by the Census Bureau that were derived from a 
custom tabulation of the ACS, utilizing 2016 through 2020 data. The 
Census Bureau produces county level commuting flow tables every 5 years 
using non-overlapping 5-year ACS estimates. The data include 
demographic characteristics, home and work locations, and journey-to-
work travel flows. The custom tabulation requested by CMS was specific 
to general medical and surgical hospital and specialty (except 
psychiatric and substance use disorder treatment) hospital employees 
(hospital sector Census code 8191/NAICS code 6221 and 6223) who worked 
in the 50 States, Washington, DC, and Puerto Rico and, therefore, 
provided information about commuting patterns of workers at the county 
level for residents of the 50 States, Washington, DC, and Puerto Rico.
    For the ACS, the Census Bureau selects a random sample of addresses 
where workers reside to be included in the survey, and the sample is 
designed to ensure good geographic coverage. The ACS samples 
approximately 3.5 million resident addresses per year.\201\ The results 
of the ACS are used to formulate descriptive population estimates, and, 
as such, the sample on which the dataset is based represents the actual 
figures that would be obtained from a complete count.
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    \201\ According to the Census Bureau, the effects of the public 
health emergency (PHE) on ACS activities in 2020 resulted in a lower 
number of addresses (~2.9 million) in the sample, as well as fewer 
interviews than a typical year.
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    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69301), we finalized 
that for

[[Page 18233]]

FY 2025 and subsequent years, the out-migration adjustment would be 
based on the data derived from the previously discussed custom 
tabulation of the ACS utilizing 2016 through 2020 (5-year) Microdata. 
As discussed earlier, we believe that these data are the most 
appropriate to establish qualifying counties, because they are the most 
accurate and up-to-date data that are available to us. For FY 2026, we 
are not proposing any changes to the methodology or data source for 
calculating the out-migration adjustment. Specifically, we are 
proposing that the FY 2026 out-migration adjustments continue to be 
based on the same policies, procedures, and computation that were used 
for the FY 2012 out-migration adjustment. We have applied these same 
policies, procedures, and computations since FY 2012, and we believe 
they continue to be appropriate for FY 2026. We refer readers to a full 
discussion of the out-migration adjustment, including rules on deeming 
hospitals reclassified under section 1886(d)(8) or section 1886(d)(10) 
of the Act to have waived the out-migration adjustment, in the FY 2012 
IPPS/LTCH PPS final rule (76 FR 51601 through 51602). Table 2 of this 
proposed rule (which is available on the CMS website) lists the 
proposed out-migration adjustments for the FY 2026 wage index. In 
addition, Table 4A associated with this proposed rule, ``List of 
Counties Eligible for the Out Migration Adjustment under Section 
1886(d)(13) of the Act'' (also available on the CMS website), consists 
of the following: A list of counties that are eligible for the 
outmigration adjustment for FY 2026 identified by FIPS county code, the 
proposed FY 2026 out-migration adjustment, and the number of years the 
adjustment will be in effect. We refer readers to section V.I. of the 
Addendum of this proposed rule for instructions on accessing IPPS 
tables that are posted on the CMS websites identified in this proposed 
rule.
5. Discontinuation of the Low Wage Index Hospital Policy and Budget 
Neutrality Adjustment
    In the FY 2020 IPPS/LTCH PPS final rule (84 FR 42325 through 
42339), we finalized a policy to address increasing wage index 
disparities, based in part on comments we received in response to our 
request for information included in our FY 2019 IPPS/LTCH PPS proposed 
rule (83 FR 20372 through 20377). Accordingly, we finalized a policy 
that provided certain low wage index hospitals with an opportunity to 
increase employee compensation without the usual lag in those increases 
being reflected in the calculation of the wage index (as they would 
expect to do if not for the lag). We accomplished this by temporarily 
increasing the wage index values for certain hospitals with low wage 
index values and doing so in a budget neutral manner through an 
adjustment applied to the standardized amounts for all hospitals. We 
increased the wage index for hospitals with a wage index value below 
the 25th percentile wage index value for a fiscal year by half the 
difference between the otherwise applicable final wage index value for 
a year for that hospital and the 25th percentile wage index value for 
that year across all hospitals (the low wage index hospital policy).
    When we adopted the low wage index hospital policy in the FY 2020 
IPPS/LTCH PPS final rule (84 FR 42326 through 42328), we stated our 
intention that this policy would be effective for at least 4 years, 
beginning in FY 2020, to allow employee compensation increases 
implemented by these hospitals sufficient time to be reflected in the 
wage index calculation. We also stated we intended to revisit the issue 
of the duration of this policy in future rulemaking as we gained 
experience under the policy. For FY 2024, we continued to apply the low 
wage index hospital policy and the related budget neutrality adjustment 
(88 FR 58977 through 58980). In the FY 2025 IPPS/LTCH PPS final rule 
(89 FR 69301 through 69308), we adopted an extension of the low wage 
index hospital policy and the related budget neutrality adjustment 
effective for at least three more years, beginning in FY 2025, in order 
for sufficient wage data from after the end of the COVID-19 Public 
Health Emergency to become available.
    On July 23, 2024, the Court of Appeals for the D.C. Circuit held 
that the Secretary lacked authority under section 1886(d)(3)(E) of the 
Act or under the ``adjustments'' language of section 1886(d)(5)(I)(i) 
of the Act to adopt the low wage index hospital policy for FY 2020, and 
that the policy and related budget neutrality adjustment must be 
vacated.\202\ After considering the D.C. Circuit's decision in 
Bridgeport Hosp. v. Becerra, in the interim final action with comment 
period (IFC) titled ``Medicare Program; Changes to the Fiscal Year 2025 
Hospital Inpatient Prospective Payment System (IPPS) Rates Due to Court 
Decision'' (referred to herein as the FY 2025 IFC) (89 FR 80405 through 
80421), we recalculated the FY 2025 IPPS hospital wage index to remove 
the low wage index hospital policy for FY 2025. We also removed the low 
wage index budget neutrality factor from the FY 2025 standardized 
amounts. We refer the reader to the applicable year final rule 
discussions (FY 2020 IPPS/LTCH PPS final rule (84 FR 42325 through 
42339); FY 2024 IPPS/LTCH PPS final rule (88 FR 58977 through 58980)) 
regarding the implementation of the low wage index hospital policy and 
the FY 2025 IFC for a complete discussion regarding the removal of the 
low wage index hospital policy for FY 2025.
---------------------------------------------------------------------------

    \202\ Bridgeport Hosp. v. Becerra, 108 F.4th 882, 887-91 & n.6 
(D.C. Cir. 2024).
---------------------------------------------------------------------------

    For FY 2026 and subsequent fiscal years, after considering the D.C. 
Circuit's decision in Bridgeport Hosp. v. Becerra, we are proposing to 
discontinue the low wage index hospital policy. Because we are 
proposing to discontinue the low wage index hospital policy for FY 2026 
and subsequent fiscal years, we would no longer apply a low wage index 
budget neutrality factor to the standardized amounts.
6. Cap on Wage Index Decreases and Budget Neutrality Adjustment
    In the FY 2023 IPPS/LTCH PPS final rule (87 FR 49018 through 
49021), we finalized a wage index cap policy and associated budget 
neutrality adjustment for FY 2023 and subsequent fiscal years. Under 
this policy, we apply a 5-percent cap on any decrease to a hospital's 
wage index from its wage index in the prior FY, regardless of the 
circumstances causing the decline. A hospital's wage index will not be 
less than 95 percent of its final wage index for the prior FY. If a 
hospital's prior FY wage index is calculated with the application of 
the 5-percent cap, the following year's wage index will not be less 
than 95 percent of the hospital's capped wage index in the prior FY. We 
note, the FY 2025 wage index was established in the FY 2025 Interim 
Final Action with Comment (IFC) which removed the low wage index 
hospital policy (89 FR 80405 through 80421). Therefore, for FY 2026, 
the prior year wage index for purposes of the cap would be based on the 
wage index established in the IFC. We also note that in that same IFC, 
we established a transitional payment exception for FY 2025. The 5-
percent cap for FY 2026 would be applied irrespective of the FY 2025 
transitional payment exception. We finally note, as discussed below, 
that for FY 2026 we are also proposing a transitional payment exception 
that addresses the effects of the removal of the low wage index 
hospital policy. This proposed transitional payment exception would be 
applied after the application of the 5-percent cap.

[[Page 18234]]

    Except for newly opened hospitals, we apply the cap for a FY using 
the final wage index applicable to the hospital on the last day of the 
prior FY. A newly opened hospital will be paid the wage index for the 
area in which it is geographically located for its first full or 
partial fiscal year, and it will not receive a cap for that first year, 
because it will not have been assigned a wage index in the prior year. 
The wage index cap policy is reflected at Sec.  412.64(h)(7). We apply 
the cap in a budget neutral manner through a national adjustment to the 
standardized amount each fiscal year. For more information about the 
wage index cap policy and associated budget neutrality adjustment, we 
refer readers to the discussion in the FY 2023 IPPS/LTCH PPS final rule 
(87 FR 49018 through 49021).
    For FY 2026, we would apply the wage index cap and associated 
budget neutrality adjustment in accordance with the policies adopted in 
the FY 2023 IPPS/LTCH PPS final rule. We note that the budget 
neutrality adjustment will be updated, as appropriate, based on the 
final rule data. We refer readers to the Addendum of this proposed rule 
for further information regarding the budget neutrality calculations.
7. Proposed Transition for the Discontinuation of the Low Wage Index 
Hospital Policy
    As discussed above, in the FY 2025 IFC we recalculated the FY 2025 
IPPS hospital wage index to remove the low wage index hospital policy 
for FY 2025. We also removed the low wage index budget neutrality 
factor from the FY 2025 standardized amounts. For FY 2026 and 
subsequent fiscal years, consistent with the FY 2025 IFC, after 
considering the D.C. Circuit's decision in Bridgeport Hosp. v. Becerra, 
we are proposing to discontinue the low wage index hospital policy. 
Because we are proposing to discontinue the low wage index hospital 
policy for FY 2026 and subsequent fiscal years, we would no longer 
apply the low wage index budget neutrality factor to the standardized 
amounts.
    In the past, we have established temporary transition policies when 
there have been significant changes to payment policies, and we have 
limited the duration of each transition in order to phase in the 
effects of those payment policy changes. In taking this temporary 
approach in the past, we have sought to mitigate short-term instability 
and payment fluctuations that can negatively impact hospitals 
consistent with principles of certainty and predictability under 
prospective payment systems. For example, CMS has recognized that 
hospitals in certain areas may experience a negative impact on their 
IPPS payment due to the adoption of revised OMB delineations for wage 
index purposes and has finalized transition policies to mitigate 
negative financial impacts and provide stability to year-to-year wage 
index variations. We refer readers to the FY 2015 IPPS/LTCH PPS final 
rule (79 FR 49956 through 49962) for a discussion of the transition 
period finalized when CMS adopted revised OMB delineations after the 
2010 decennial census. For FY 2025, consistent with our past practice, 
we established an interim transition policy for hospitals significantly 
impacted by the removal of the FY 2025 low wage index hospital policy 
using our authority under section 1886(d)(5)(I) of the Act. 
Specifically, the transitional payment exception for FY 2025 for those 
hospitals is equal to the additional FY 2025 amount a hospital would 
have been paid under the IPPS if its FY 2025 wage index were equal to 
95 percent of its FY 2024 wage index. For a discussion of the removal 
of the low wage index hospital policy and the establishment of the 
interim transition policy, we refer readers to the FY 2025 IFC (89 FR 
80405 through 80421).
    We currently have a wage index cap policy at 42 CFR 412.64(h)(7), 
under which we apply a 5-percent cap on any decrease to a hospital's 
wage index from its wage index in the prior FY in a budget neutral 
manner, regardless of the circumstances causing the decline, so that a 
hospital's final wage index for the upcoming fiscal year will not be 
less than 95 percent of its final wage index from the prior fiscal 
year. In accordance with 42 CFR 412.64(e)(1)(ii), CMS applies a budget 
neutrality adjustment to offset the increase in total payments 
resulting from the application of that cap.
    Some hospitals that previously benefitted from the low wage index 
hospital policy would experience decreases of 10 percent or more over 
the two years from their FY 2024 wage index (with the low wage index 
hospital policy applied) to their proposed FY 2026 wage index (that is, 
approximately 5 percent or more per year over that time period). 
Similar to how 42 CFR 412.64(h)(7) would operate, and how our interim 
transitional policy established in the FY 2025 IFC for these hospitals 
operates in FY 2025, we are proposing to establish a narrow 
transitional exception to the calculation of FY 2026 payments for these 
hospitals.
    As described above, if the combined payment effect of the FY 2025 
wage index and the transitional payment exception for FY 2025 had been 
attributable solely to the FY 2025 wage index, then the wage index cap 
policy at 42 CFR 412.64(h)(7) would have mitigated these FY 2026 wage 
index decreases and would have done so in a budget neutral manner under 
our current regulations. As discussed in the FY 2025 IFC (89 FR 80407-
80408), while CMS is not necessarily required by the statute to budget 
neutralize every exception or adjustment under section 1886(d)(5)(I), 
it has often done so by exercising its discretion under section 
1886(d)(5)(I) of the Act twice: first to adopt an exception or 
adjustment, and then again to make that exception or adjustment budget 
neutral.\203\ For the FY 2025 interim transition policy, under the 
unique circumstances and due to the timing of the appellate court's 
decision in Bridgeport Hosp. v. Becerra so close to the beginning of FY 
2025, we declined to exercise our discretion to budget neutralize that 
interim FY 2025 transition policy. We stated that unlike most policies 
relevant to the calculation of the hospital wage index, the timing of 
the court's decision shortly before the beginning of the fiscal year 
necessitated swift action by the agency via an IFC, rather than 
providing for prior notice and opportunity for comment. The agency's 
action in that IFC was intended to promote certainty regarding FY 2025 
IPPS payments in light of the reasoning of Bridgeport, which risked 
creating ongoing confusion for hospitals extending into FY 2025 about 
the amount of their IPPS payments. In that circumstance, the lack of an 
opportunity to notify interested parties in a notice of proposed 
rulemaking about changes to their wage index that would result from 
budget neutralizing the transition policy, and for the agency to 
consider before the policy's effective date issues hospitals might 
raise when commenting on those changes, weighed in favor of an approach 
that did not adversely affect the significant majority of hospitals. 
For these reasons, and as discussed in the IFC, we declined to budget 
neutralize the interim FY 2025 transition policy.
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    \203\ For example, CMS has stated in the past that it would 
exercise its discretion under section 1886(d)(5)(I) of the Act to 
make the low wage index hospital policy budget neutral even if 
budget neutrality were not required by statute (88 FR 58979).
---------------------------------------------------------------------------

    In contrast, we are proposing the FY 2026 transition policy under 
very different circumstances. We are not facing the timing constraints 
of a court decision issued shortly before the beginning of a fiscal 
year that necessitated swift action through an IFC to promote certainty 
and prevent ongoing confusion by hospitals. Rather,

[[Page 18235]]

we are proposing the FY 2026 transition policy through the normal 
course of our annual rulemaking for the IPPS, which will allow both for 
advance notice of the policy and for us to consider issues interested 
parties might raise in comments on this proposed rule. We are proposing 
to make this policy budget neutral through an adjustment applied to the 
standardized amount for all hospitals because (1) the wage index cap 
policy at 42 CFR 412.64(h)(7) would have mitigated these FY 2026 wage 
index decreases had the combined payment effect of the FY 2025 wage 
index and the transitional payment exception been reflected solely in 
the FY 2025 wage index, and it would have done so in a budget neutral 
manner under our current regulations, and (2) the circumstances 
described above that caused us to decline to budget neutralize the 
interim FY 2025 transition policy are not applicable to the proposed FY 
2026 transition policy. In addition, we note that implementing the 
proposed FY 2026 transition policy in a budget neutral manner would be 
consistent with past practice. For example, we budget neutralized the 
FY 2015 wage index transition budget neutrality policy discussed 
earlier (79 FR 49956 through 49962). As we have discussed in other 
instances (89 FR 19398), we believed, and continue to believe, that 
transition policies should not increase estimated aggregate Medicare 
payments beyond the payments that would be made had we never proposed 
these transition policies. Therefore, we are proposing to use our 
authority under section 1886(d)(5)(I)(i) of the Act twice. First, we 
are proposing to adopt a narrow transitional exception to the 
calculation of FY 2026 IPPS payments for low wage index hospitals 
significantly impacted by the discontinuation of the low wage index 
hospital policy. Second, we are exercising our authority again to do so 
in a budget neutral manner.204 205 We refer the reader to 
section II.A.4.g. of the Addendum of this proposed rule for complete 
details regarding the application of the proposed transition for the 
discontinuation of the low wage index hospital policy budget neutrality 
factor.
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    \204\ We note that even more so than was the case for the FY 
2025 interim transition policy, the scope and magnitude of the 
proposed FY 2026 transitional policy are much smaller than the low 
wage index hospital policy. As discussed in section VI. of the 
preamble of this proposed rule, we estimate only 52 hospitals out of 
the over 3,000 hospitals paid under the IPPS would receive proposed 
FY 2026 transitional exception payments, and the total payment 
impact of the proposed transitional policy is an increase in IPPS 
operating payments by approximately $27 million. For the FY 2025 
interim transition policy the corresponding figures were 113 
hospitals and an increase in IPPS operating payments by 
approximately $37 million (89 FR 80417).
    \205\ We note that because creating an exception to the 
calculation of the FY 2026 payments is in this circumstance 
functionally equivalent to adjusting the FY 2026 payments, the 
proposed transitional exception can be alternatively considered a 
proposed transitional adjustment.
---------------------------------------------------------------------------

    The transitional exception policy we are proposing applies to 
hospitals that benefitted from the FY 2024 low wage index hospital 
policy. For those hospitals, we compare the hospital's proposed FY 2026 
wage index to the hospital's FY 2024 wage index. If the hospital is 
significantly impacted by the discontinuation of the low wage index 
hospital policy, meaning the hospital's proposed FY 2026 wage index is 
decreasing by more than 9.75 percent \206\ from the hospital's FY 2024 
wage index, then the transitional payment exception for FY 2026 for 
that hospital would be equal to the additional FY 2026 amount the 
hospital would be paid under the IPPS if its FY 2026 wage index were 
equal to 90.25 percent \207\ of its FY 2024 wage index.\208\ We note 
this proposed transitional payment exception would be applied after the 
application of the 5-percent cap described at 42 CFR 412.64(h)(7). For 
example, assume the FY 2024 wage index for a hospital that benefitted 
from the low wage index hospital policy is 0.7600, and the hospital's 
proposed FY 2026 wage index is 0.6500. (If applicable, this proposed FY 
2026 wage index value would include the 5-percent cap based on a 
comparison of the hospital's FY 2026 wage index prior to application of 
the 5-percent cap, to the hospital's FY 2025 wage index. We note the FY 
2025 wage index that will be used in this comparison is generally the 
FY 2025 wage index listed in Table 2 from the FY 2025 IFC in the column 
labeled ``FY 2025 Wage Index With Cap''. We note all hospitals, 
regardless of whether the cap was applied to their FY 2025 wage index, 
have a value in the column ``FY 2025 Wage Index With Cap''. Hospitals 
that did not have a cap applied to their FY 2025 wage index will 
display a wage index in this column without the cap.) The hospital's 
proposed FY 2026 wage index is decreasing by more than 9.75 percent 
from the hospital's FY 2024 wage index [that is, 0.6500 < 0.6859 where 
0.6859 = (0.9025 times 0.7600)]. The proposed transitional payment 
exception for FY 2026 for this hospital is equal to the additional 
amount the hospital would be paid under the IPPS if its FY 2026 wage 
index were equal to 0.6859, which is 90.25 percent of 0.7600, its FY 
2024 wage index.
---------------------------------------------------------------------------

    \206\ Under the wage index cap policy at 42 CFR 412.64(h)(7), a 
hospital's wage index for a FY cannot be lower than 0.95 * its wage 
index from the prior FY. Over a 2-year period if its wage index were 
decreasing by more than 5 percent each year, this would mean a 
hospital's wage index for a FY cannot be lower than (0.95*0.95) 
times its wage index from two years earlier. Similarly for our 
proposed FY 2026 transitional exception policy, we are proposing 
that a hospital is significantly impacted by the discontinuation of 
the low wage index hospital policy if its FY 2026 wage index is less 
than (0.95*0.95) of its FY 2024 wage index, which equates to a 
decrease of more than 9.75 percent.
    \207\ 90.25 percent = 95 percent for FY 2025 * 95 percent for FY 
2026.
    \208\ We note that we are not proposing to change the FY 2026 
wage index values under section 1886(d)(3)(E) for hospitals eligible 
for the proposed FY 2026 transitional exception policy on the basis 
of the exception; the proposed change would be applied as a separate 
step only for purposes of determining the hospitals' FY 2026 IPPS 
payments.
---------------------------------------------------------------------------

    Under the capital IPPS, the adjustment for local cost variation is 
based on the hospital wage index value that is applicable to the 
hospital under the operating IPPS. We adjust the capital standard 
Federal rate so that the effects of the annual changes in the 
geographic adjustment factor (GAF) are budget neutral. The low wage 
index hospital policy has been reflected in the capital IPPS GAFs since 
FY 2020 (84 FR 42638). The removal of the low wage index hospital 
policy for FY 2025 also affects the FY 2025 GAFs. Because we are now no 
longer applying the low wage index hospital policy in FY 2025, we are 
also no longer making an adjustment to the FY 2025 capital standard 
Federal rate to ensure budget neutrality for the low wage index 
hospital policy.
    As discussed previously, for FY 2025 we believe it is appropriate 
to establish a transition policy for low wage hospitals significantly 
impacted by the removal of the low wage index hospital policy.
    As discussed in the FY 2025 IFC (89 FR 80408), since FY 2023, the 
GAFs reflect the wage index cap policy that limits any decrease to a 
hospital's wage index from its wage index in the prior FY, regardless 
of the circumstances causing the decline, to 95 percent of its prior 
year value. As described previously, some hospitals that previously 
benefitted from the low wage index hospital policy would experience 
decreases of 10 percent or more over the two years from their FY 2024 
wage index (with the low wage index hospital policy applied) to their 
proposed FY 2026 wage index (that is, approximately 5 percent or more 
per year over that time period). As such, similar to the FY 2025 
interim transition policy established in the FY 2025 IFC, we are 
proposing to make a budget neutral

[[Page 18236]]

equivalent exception under the capital IPPS.

G. FY 2026 Wage Index Tables

    In this FY 2026 IPPS/LTCH PPS proposed rule, we have included the 
following wage index tables: Table 2 titled ``Case-Mix Index and Wage 
Index Table by CCN''; Table 3 titled ``Wage Index Table by CBSA''; 
Table 4A titled ``List of Counties Eligible for the Out-Migration 
Adjustment under Section 1886(d)(13) of the Act''; and Table 4B titled 
``Counties redesignated under section 1886(d)(8)(B) of the Act (Lugar 
Counties).'' We refer readers to section VI. of the Addendum to this 
proposed rule for a discussion of the wage index tables for FY 2026.

H. Proposed Labor-Related Share for the FY 2026 Wage Index

    Section 1886(d)(3)(E) of the Act directs the Secretary to adjust 
the proportion of the national prospective payment system base payment 
rates that are attributable to wages and wage-related costs by a factor 
that reflects the relative differences in labor costs among geographic 
areas. It also directs the Secretary to estimate from time to time the 
proportion of hospital costs that are labor-related and to adjust the 
proportion (as estimated by the Secretary from time to time) of 
hospitals' costs that are attributable to wages and wage-related costs 
of the DRG prospective payment rates. We refer to the portion of 
hospital costs attributable to wages and wage-related costs as the 
labor-related share. The labor-related share of the prospective payment 
rate is adjusted by an index of relative labor costs, which is referred 
to as the wage index.
    Section 403 of Public Law 108-173 amended section 1886(d)(3)(E) of 
the Act to provide that the Secretary must employ 62 percent as the 
labor-related share unless this would result in lower payments to a 
hospital than would otherwise be made. However, this provision of 
Public Law 108-173 did not change the legal requirement that the 
Secretary estimate from time to time the proportion of hospitals' costs 
that are attributable to wages and wage-related costs. Thus, hospitals 
receive payment based on either a 62-percent labor-related share, or 
the labor-related share estimated from time to time by the Secretary, 
depending on which labor-related share results in a higher payment.
    In the FY 2022 IPPS/LTCH PPS final rule (86 FR 45194 through 
45208), we rebased and revised the hospital market basket to a 2018-
based IPPS hospital market basket, which replaced the 2014-based IPPS 
hospital market basket, effective beginning October 1, 2021. Using the 
2018-based IPPS market basket, we finalized a labor-related share of 
67.6 percent for discharges occurring on or after October 1, 2021. In 
addition, in FY 2022, we implemented this revised and rebased labor-
related share in a budget neutral manner (86 FR 45193, 86 FR 45529 
through 45530). However, consistent with section 1886(d)(3)(E) of the 
Act, we did not take into account the additional payments that would be 
made as a result of hospitals with a wage index less than or equal to 
1.0000 being paid using a labor-related share lower than the labor-
related share of hospitals with a wage index greater than 1.0000.
    As described in section IV. of the preamble of this proposed rule, 
effective beginning FY 2026, we are proposing to rebase and revise the 
IPPS market basket to reflect a 2023 base year. We also are proposing 
to recalculate the labor-related share for discharges occurring on or 
after October 1, 2025, using the proposed 2023-based IPPS market 
basket. As discussed in Appendix A of this proposed rule, we are 
proposing this rebased and revised labor-related share in a budget 
neutral manner. However, consistent with section 1886(d)(3)(E) of the 
Act, we would not take into account the additional payments that would 
be made as a result of hospitals with a wage index less than or equal 
to 1.0000 being paid using a labor-related share lower than the labor-
related share of hospitals with a wage index greater than 1.0000.
    The labor-related share is used to determine the proportion of the 
national IPPS base payment rate to which the area wage index is 
applied. We include a cost category in the labor-related share if the 
costs are labor intensive and vary with the local labor market. As 
described in section IV. of the preamble of this proposed rule, 
beginning with FY 2026, we are proposing to include in the labor-
related share the national average proportion of operating costs that 
are attributable to the following cost categories in the 2023-based 
IPPS market basket: Wages and Salaries; Employee Benefits; Professional 
Fees: Labor-Related; Administrative and Facilities Support Services; 
Installation, Maintenance, and Repair Services; and All Other: Labor-
Related Services as measured in the proposed 2023-based IPPS market 
basket. Therefore, for FY 2026, we are proposing to use a labor-related 
share of 66.0 percent for discharges occurring on or after October 1, 
2025.
    As discussed in section V.B. of the preamble of this proposed rule, 
prior to January 1, 2016, Puerto Rico hospitals were paid based on 75 
percent of the national standardized amount and 25 percent of the 
Puerto Rico-specific standardized amount. As a result, we applied the 
Puerto Rico-specific labor-related share percentage and nonlabor-
related share percentage to the Puerto Rico-specific standardized 
amount. Section 601 of the Consolidated Appropriations Act, 2016 (Pub. 
L. 114-113) amended section 1886(d)(9)(E) of the Act to specify that 
the payment calculation with respect to operating costs of inpatient 
hospital services of a subsection (d) Puerto Rico hospital for 
inpatient hospital discharges on or after January 1, 2016, shall use 
100 percent of the national standardized amount. Because Puerto Rico 
hospitals are no longer paid with a Puerto Rico-specific standardized 
amount as of January 1, 2016, under section 1886(d)(9)(E) of the Act as 
amended by section 601 of the Consolidated Appropriations Act, 2016, 
there is no longer a need for us to calculate a Puerto Rico-specific 
labor-related share percentage and nonlabor-related share percentage 
for application to the Puerto Rico-specific standardized amount. 
Hospitals in Puerto Rico are now paid 100 percent of the national 
standardized amount and, therefore, are subject to the national labor-
related share and nonlabor-related share percentages that are applied 
to the national standardized amount. Accordingly, for FY 2026, we are 
not proposing a Puerto Rico-specific labor-related share percentage or 
a nonlabor-related share percentage.
    Tables 1A and 1B, which are published in section VI. of the 
Addendum to this FY 2026 IPPS/LTCH PPS proposed rule and available via 
the internet on the CMS website, reflect the national labor-related 
share. Table 1C, in section VI. of the Addendum to this FY 2026 IPPS/
LTCH PPS proposed rule and available via the internet on the CMS 
website, reflects the national labor-related share for hospitals 
located in Puerto Rico. For FY 2026, for all IPPS hospitals (including 
Puerto Rico hospitals) whose wage indexes are less than or equal to 
1.0000, we are proposing to apply the wage index to a labor-related 
share of 62 percent of the national standardized amount. For all IPPS 
hospitals (including Puerto Rico hospitals) whose wage indexes are 
greater than 1.000, for FY 2026, we are proposing to apply the wage 
index to a labor-related share of 66.0 percent of the national 
standardized amount.

[[Page 18237]]

IV. Rebasing and Revising of the Hospital Market Baskets for Acute Care 
Hospitals

A. Background

    Effective for cost reporting periods beginning on or after July 1, 
1979, we developed and adopted a hospital input price index (that is, 
the hospital market basket for operating costs). Although ``market 
basket'' technically describes the mix of goods and services used in 
providing hospital care, this term is also commonly used to denote the 
input price index (that is, cost category weights and price proxies 
combined) derived from that market basket. Accordingly, the term 
``market basket'' as used in this document refers to the hospital input 
price index.
    The percentage change in the market basket reflects the average 
change in the price of goods and services hospitals purchase in order 
to provide inpatient care. We first used the market basket to adjust 
hospital cost limits by an amount that reflected the average increase 
in the prices of the goods and services used to provide hospital 
inpatient care. This approach linked the increase in the cost limits to 
the efficient utilization of resources.
    Since the inception of the IPPS, the projected change in the 
hospital market basket has been the integral component of the update 
factor by which the prospective payment rates are updated every year. 
An explanation of the hospital market basket used to develop the 
prospective payment rates was published in the Federal Register on 
September 1, 1983 (48 FR 39764). We also refer readers to the FY 2022 
IPPS/LTCH PPS final rule (86 FR 45194 through 45207) in which we 
discussed the most recent previous rebasing of the hospital input price 
index.
    The hospital market basket is a fixed-weight, Laspeyres-type price 
index. A Laspeyres-type price index measures the change in price, over 
time, of the same mix of goods and services purchased in the base 
period. Any changes in the quantity or mix of goods and services (that 
is, intensity) purchased over time relative to the base period are not 
measured.
    The index itself is constructed in three steps. First, a base 
period is selected (in this proposed rule, we propose to use 2023 as 
the base period) and total base period costs are estimated for a set of 
mutually exclusive and exhaustive spending categories, with the 
proportion of total costs that each category represents being 
calculated. These proportions are called cost weights. Second, each 
cost category is matched to an appropriate price or wage variable, 
referred to as a ``price proxy.'' In almost every instance, these price 
proxies are derived from publicly available statistical series that are 
published on a consistent schedule (preferably at least on a quarterly 
basis). Finally, the cost weight for each cost category is multiplied 
by the level of its respective price proxy. The sum of these products 
(that is, the cost weights multiplied by their price index levels) for 
all cost categories yields the composite index level of the market 
basket in a given period. Repeating this step for other periods 
produces a series of market basket levels over time. Dividing an index 
level for a given period by an index level for an earlier period 
produces a rate of growth in the input price index over that timeframe.
    As previously noted, the market basket is described as a fixed-
weight index because it represents the change in price over time of a 
constant mix (quantity and intensity) of goods and services needed to 
provide hospital services. The effects on total costs resulting from 
changes in the mix of goods and services purchased subsequent to the 
base period are not measured. For example, a hospital hiring more 
nurses to accommodate the needs of patients would increase the volume 
of goods and services purchased by the hospital but would not be 
factored into the price change measured by a fixed-weight hospital 
market basket. Only when the index is rebased would changes in the 
quantity and intensity be captured, with those changes being reflected 
in the cost weights. Therefore, we rebase the market basket 
periodically so that the cost weights reflect recent changes in the mix 
of goods and services that hospitals purchase (hospital inputs) to 
furnish inpatient care between base periods.
    We last rebased the hospital market basket cost weights effective 
for FY 2022 (86 FR 45194 through 45207), with 2018 data used as the 
base period for the construction of the market basket cost weights. For 
this FY 2026 IPPS/LTCH PPS proposed rule, we propose to rebase the IPPS 
operating market basket to reflect the 2023 cost structure for IPPS 
hospitals and to revise applicable cost categories and price proxies 
used to determine the IPPS market basket, as discussed in this proposed 
rule. We also propose to rebase and revise the Capital Input Price 
Index (CIPI) as described in section IV.D. of the preamble of this 
proposed rule.
    In the following section, we provide an overview of the proposed 
IPPS market basket, describe the proposed methodologies for developing 
the cost weights, and provide information on the proposed price 
proxies. Then, we present the proposed FY 2026 market basket update and 
labor-related share based on the proposed 2023-based IPPS market 
basket.

B. Rebasing and Revising the IPPS Market Basket

    The terms ``rebasing'' and ``revising,'' while often used 
interchangeably, actually denote different activities. ``Rebasing'' 
means moving the base year for the structure of costs of an input price 
index (for example, in this proposed rule, we propose to shift the base 
year cost structure for the IPPS hospital index from 2018 to 2023). 
``Revising'' means changing data sources or price proxies used in the 
input price index. As published in the FY 2006 IPPS final rule (70 FR 
47403), in accordance with section 404 of Public Law 108-173, CMS 
determined a new frequency for rebasing the hospital market basket. We 
established a rebasing frequency of every 4 years and, therefore, we 
propose to rebase and revise the IPPS market basket effective for the 
FY 2026 IPPS update since it was last rebased effective for the FY 2022 
IPPS update (the base year for the cost weights is being updated from 
2018 to 2023). We invite public comments on our proposed methodology 
discussed in this section of this proposed rule, for deriving the 
proposed 2023-based IPPS market basket.
1. Development of Cost Categories and Weights
a. Use of Medicare Cost Report Data
    The major source of expenditure data for developing the proposed 
rebased and revised hospital market basket cost weights is the 2023 
Medicare cost reports. These 2023 Medicare cost reports are for cost 
reporting periods beginning on and after October 1, 2022, and before 
October 1, 2023. We propose to use 2023 as the base year because we 
believe that the 2023 Medicare cost reports represent the most recent, 
complete set of Medicare cost report data available to develop cost 
weights for IPPS hospitals at the time of rulemaking. As was done in 
previous rebasings, these cost reports are from IPPS hospitals only 
(hospitals excluded from the IPPS (including CAHs and rural emergency 
hospitals) are not included) and are based on IPPS Medicare-allowable 
operating costs. IPPS Medicare-allowable operating costs are costs that 
are eligible to be paid under the IPPS. For example, the IPPS market 
basket excludes home health agency (HHA) costs as these costs would

[[Page 18238]]

be paid under the HHA PPS and, therefore, these costs are not IPPS 
Medicare-allowable costs.
    The current set of instructions for the Medicare cost reports for 
hospitals (Form 2552-10, OMB Control Number 0938-0050) can be found in 
Chapter 40 at the following website (https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/Paper-Based-Manuals-Items/CMS021935).
    The major types of costs underlying the proposed 2023-based IPPS 
market basket are derived from the Medicare cost reports (Form 2552-10, 
OMB Control Number 0938-0050). Specifically, we propose to use the 
Medicare cost reports for seven specific types of costs: Wages and 
Salaries, Employee Benefits, Contract Labor, Pharmaceuticals, 
Professional Liability Insurance (Malpractice), Blood and Blood 
Products, and Home Office/Related Organization Contract Labor. A 
residual category is then estimated and reflects all remaining costs 
not captured in the seven types of costs identified previously. The 
2018-based IPPS market basket similarly used the Medicare cost reports.
    In order to create a market basket that is representative of IPPS 
hospitals serving Medicare patients and to help ensure the major cost 
weights accurately reflect the percent of total Medicare-allowable 
operating costs, as defined in this proposed rule, we propose to apply 
edits to remove reporting errors and outliers. Specifically, the IPPS 
Medicare cost reports used to calculate the market basket cost weights 
exclude any providers that reported costs less than or equal to zero 
for the following categories: total Medicare inpatient costs (Worksheet 
D-1, Part II, column 1, line 49); Medicare PPS payments (Worksheet E, 
Part A, column 1, line 59); Total salary costs (Worksheet S-3, Part II, 
column 2, line 1). We also limited our sample to providers that had a 
Medicare cost reporting period that was between 10 and 14 months. The 
final sample used includes roughly 2,900 Medicare cost reports (about 
93 percent of the universe of IPPS Medicare cost reports for 2023). The 
sample of providers is representative of the national universe of 
providers by ownership-type (proprietary, nonprofit, and government) 
and by urban/rural status.
    In this proposed rule, we calculate total Medicare-allowable 
operating costs for each hospital to be equal to noncapital costs 
(Worksheet B, Part I, column 26 less Worksheet B, Part II, column 26) 
that are attributable to the Medicare-allowable cost centers of the 
hospital. We propose that Medicare-allowable cost centers are lines 30 
through 35, 50 through 60, 62 through 76, 90, 91, 92.01, 93, 96 and 97. 
This is the same methodology that was used for the 2018-based IPPS 
market basket.
(1) Wages and Salaries Costs
    To derive wages and salaries costs for the Medicare-allowable cost 
centers, we propose to first calculate total unadjusted wages and 
salaries costs as reported on Worksheet S-3, Part II, column 4, line 1. 
We then propose to remove the wages and salaries attributable to non-
Medicare-allowable cost centers (that is, excluded areas) as well as a 
portion of overhead wages and salaries attributable to these excluded 
areas. This is the same methodology that was used to derive wages and 
salaries costs for the 2018-based IPPS market basket.
    Specifically, we propose to calculate excluded area wages and 
salaries as equal to the sum of Worksheet S-3, Part II, column 4, lines 
3, 4.01, 5, 6, 7, 7.01, 8, 9, and 10 less Worksheet A, column 1, lines 
20 and 23. Overhead wages and salaries are attributable to the entire 
IPPS facility. Therefore, we propose to only include the proportion 
attributable to the Medicare-allowable cost centers. Specifically, we 
propose to estimate the proportion of overhead wages and salaries that 
are not attributable to Medicare-allowable cost centers (that is, 
excluded areas) by first calculating the ratio of total Medicare-
allowable operating costs (as previously defined) to total facility 
operating costs (Worksheet B, Part I, column 26, line 202 less 
Worksheet B, Part I, column 0, lines 1 and 2). We then propose to 
multiply this ratio by total overhead wages and salaries (Worksheet S-
3, Part II, column 4, lines 26, 27, 29 through 32, 34, and 36 through 
43) to estimate Medicare allowable overhead wages and salaries. The 
difference between total overhead wages and salaries and Medicare 
allowable overhead wages and salaries is equal to the overhead wages 
and salaries attributable to the excluded areas.
    Therefore, we propose wages and salaries costs used for the 2023-
based IPPS market basket are equal to total wages and salaries costs 
less: (a) excluded area wages and salaries costs; and (b) overhead 
wages and salaries costs attributable to the excluded areas.
(2) Employee Benefits Costs
    We propose to derive employee benefits costs using a similar 
methodology as the wages and salaries costs; that is, reflecting 
employee benefits costs attributable to the Medicare-allowable cost 
centers. First, we calculate total unadjusted employee benefits costs 
as the sum of Worksheet S-3, Part II, column 4, lines 17, 18, 20, 22, 
and 25.52.
    We then exclude those employee benefits attributable to the 
overhead wages and salaries for the non-Medicare-allowable cost centers 
(that is, excluded areas). Employee benefits attributable to the non-
Medicare-allowable cost centers are derived by multiplying the ratio of 
total employee benefits (equal to the sum of Worksheet S-3, Part II, 
column 4, lines 17, 18, 19, 20, 21, 22, 22.01, 23, 24, 25, 25.50, 
25.51, 25.52, and 25.53) to total wages and salaries (Worksheet S-3, 
Part II, column 4, line 1) (which we hereafter refer to as the ``IPPS 
benefits ratio'') by excluded overhead wages and salaries (as 
previously described in section IV.B.1.a.(1) of the preamble of this 
proposed rule for wages and salaries costs). The same methodology was 
used in the 2018-based IPPS market basket.
    Therefore, we propose employee benefit costs used for the 2023-
based IPPS market basket are equal to total employee benefit costs 
less: (a) excluded area benefit costs; and (b) overhead benefit costs 
attributable to the excluded areas.
(3) Contract Labor Costs
    Contract labor costs are primarily associated with direct patient 
care services. Contract labor costs for services such as accounting, 
billing, and legal are estimated using other government data sources as 
described in this proposed rule. We propose to derive contract labor 
costs for the 2023-based IPPS market basket as the sum of Worksheet S-
3, Part II, column 4, lines 11, 13, and 15. The same methodology was 
used in the 2018-based IPPS market basket.
(4) Professional Liability Insurance Costs
    We propose that professional liability insurance (PLI) costs (often 
referred to as malpractice costs) be equal to premiums, paid losses, 
and self-insurance costs reported on Worksheet S-2, Part I, columns 1 
through 3, line 118.01. The same methodology was used for the 2018-
based IPPS market basket.
(5) Pharmaceuticals Costs
    We propose to calculate pharmaceuticals costs as total costs 
reported for the Pharmacy cost center (Worksheet B, Part I, column 0, 
line 15) and Drugs Charged to Patients cost center (Worksheet B, Part 
I, column 0, line 73) less wages and salaries attributable to these two 
cost centers

[[Page 18239]]

(Worksheet S-3, Part II, column 4, line 40 and Worksheet A, column 1, 
line 73) less estimated employee benefits attributable to these two 
cost centers. We propose to estimate the employee benefits costs by 
multiplying the IPPS benefits ratio as described in section 
IV.B.1.a.(2) of the preamble of this proposed rule by total wages and 
salaries costs for the Pharmacy and Drugs Charged to Patients cost 
centers (equal to the sum of Worksheet S-3, Part II, column 4, line 40 
and Worksheet A, column 1, line 73). The same methodology was used for 
the 2018-based IPPS market basket.
(6) Blood and Blood Products Costs
    We propose to calculate blood and blood products costs as total 
costs reported for the Whole Blood & Packed Red Blood Cells cost center 
(Worksheet B, Part I, column 0, line 62) and the Blood Storing, 
Processing, & Transfusing cost center (Worksheet B, Part I, column 0, 
line 63) less wages and salaries attributable to these two cost centers 
(Worksheet A, column 1, lines 62 and 63) less estimated employee 
benefits attributable to these two cost centers. We estimate these 
employee benefits costs by multiplying the IPPS benefits ratio as 
described in section IV.B.1.a.(2) of the preamble of this proposed rule 
by total wages and salaries for the Whole Blood & Packed Red Blood 
Cells and Blood Storing, Processing, & Transfusing cost centers (equal 
to the sum of Worksheet A, column 1, lines 62 and 63). The same 
methodology was used for the 2018-based IPPS market basket.
(7) Home Office/Related Organization Contract Labor Costs
    We propose to determine home office/related organization contract 
labor costs using data reported on Worksheet S-3, Part II, column 4, 
lines 14.01, 14.02, 25.50, and 25.51. The same methodology was used for 
the 2018-based IPPS market basket.
b. Final Major Cost Category Computation
    After we derived costs for the major cost categories for each 
provider using the Medicare cost report data as previously described, 
we propose to address data outliers using the following steps.
    First, for each of the major cost weights except the Home Office/
Related Organization Contract Labor cost weight, we propose to trim the 
data to remove outliers (a standard statistical process) by: (step 1) 
requiring that major expenses (such as Wages and Salaries costs) and 
total Medicare-allowable operating costs be greater than zero; (step 2) 
dividing the costs for each of the six categories (calculated as 
previously described in this section) by total Medicare-allowable 
operating costs to obtain cost weights for each PPS hospital; and (step 
3) excluding the top and bottom five percent of the major cost weight 
(for example, Wages and Salaries costs as a percent of total Medicare-
allowable operating costs). We note that missing values are assumed to 
be zero consistent with the methodology for how missing values were 
treated in the 2018-based IPPS market basket.
    For the Home Office/Related Organization Contract Labor cost 
weight, we propose to exclude outliers using a slightly different 
method by (step 1) requiring that total Medicare-allowable operating 
costs are greater than zero; (step 2) dividing the home office/related 
organization contract labor costs (calculated as previously described 
in this section) by total Medicare-allowable operating costs to obtain 
a cost weight for each PPS hospital; and (step 3) applying a trim that 
excludes those reporters with a Home Office/Related Organization 
Contract Labor cost weight above the 99th percentile. This allows all 
providers' Medicare-allowable costs to be included, even if their home 
office/related organization contract labor costs were reported to be 
zero. The Medicare cost report data (Worksheet S-2, Part I, line 140) 
indicate that not all hospitals have a home office. IPPS hospitals 
without a home office would report administrative costs that might 
typically be associated with a home office in the Wages and Salaries 
and Employee Benefits cost weights, or these costs would be reflected 
in the residual cost weight if they purchased these types of services 
from external contractors. We believe the trimming methodology that 
excludes those who report a Home Office/Related Organization Contract 
Labor cost weight above the 99th percentile is appropriate as it 
removes extreme outliers while also allowing providers with zero home 
office/related organization contract labor costs to be included in the 
Home Office/Related Organization Contract Labor cost weight 
calculation.
    After the outliers have been removed, we sum the costs for each 
category across all remaining providers. We then divide this by the sum 
of total Medicare-allowable operating costs across all remaining 
providers to obtain a cost weight for the proposed 2023-based IPPS 
market basket for the given category. This is the same methodology used 
for the 2018-based IPPS market basket.
    The trimming process is done individually for each cost category so 
that providers excluded from one cost weight calculation are not 
automatically excluded from another cost weight calculation. We note 
that these proposed trimming methods are the same types of edits 
performed for the 2018-based IPPS market basket, as well as other PPS 
market baskets (including but not limited to SNF market basket and home 
health market basket). We note that for each of the cost weights we 
evaluated the distribution of providers and costs by ownership-type, 
and by urban/rural status. For all of the cost weights, the trimmed 
sample was nationally representative.
    Finally, we calculate the residual ``All Other'' cost weight that 
reflects all remaining costs that are not captured in the seven cost 
categories listed. Table IV-01 shows the major cost categories and 
their respective cost weights as derived from the Medicare cost 
reports.

  Table IV-01--Major Cost Categories as Derived From the Medicare Cost
                                 Reports
------------------------------------------------------------------------
                                                         Proposed 2023-
       Major cost categories         2018-based IPPS   based IPPS market
                                      market basket          basket
------------------------------------------------------------------------
Wages and Salaries................               39.7               37.8
Employee Benefits.................               11.3                9.8
Contract Labor....................                2.0                3.6
Professional Liability Insurance                  1.0                1.0
 (Malpractice)....................
Pharmaceuticals...................                7.1                7.4
Blood and Blood Products..........                0.6                0.5
Home Office/Related Organization                  5.9                6.7
 Contract Labor...................

[[Page 18240]]

 
All Other.........................               32.4               33.2
------------------------------------------------------------------------

    From 2018 to 2023, the Wages and Salaries and Employee Benefits 
cost weights as calculated directly from the Medicare cost reports 
decreased by 1.9 percentage points and 1.5 percentage points, 
respectively, while the Contract Labor cost weight increased by 1.6 
percentage points.
    As we did for the 2018-based IPPS market basket (86 FR 45198), we 
propose to allocate contract labor costs to the Wages and Salaries and 
Employee Benefits cost weights based on their relative proportions for 
employed labor under the assumption that contract labor costs are 
comprised of both wages and salaries and employee benefits. The 
contract labor allocation proportion for wages and salaries is equal to 
the Wages and Salaries cost weight as a percent of the sum of the Wages 
and Salaries cost weight and the Employee Benefits cost weight. Using 
the 2023 Medicare cost report data, this percentage is 79 percent. 
Therefore, we propose to allocate approximately 79 percent of the 
Contract Labor cost weight to the Wages and Salaries cost weight and 21 
percent to the Employee Benefits cost weight. The 2018-based IPPS 
market basket allocated 78 percent of the Contract Labor cost weight to 
the Wages and Salaries cost weight.
    Table IV-02 shows the Wages and Salaries and Employee Benefits cost 
weights after contract labor allocation for the 2018-based IPPS market 
basket and the proposed 2023-based IPPS market basket. In aggregate, 
the Compensation cost weight (calculated using more detailed decimal 
places) decreased from 53.0 percent to 51.1 percent, or 1.9 percentage 
points.

Table IV-02--Wages and Salaries and Employee Benefits Cost Weights After
                        Contract Labor Allocation
------------------------------------------------------------------------
                                                         Proposed 2023-
       Major cost categories         2018-based IPPS   based IPPS market
                                      market basket          basket
------------------------------------------------------------------------
Total Compensation................               53.0               51.1
Wages and Salaries................               41.2               40.6
Employee Benefits.................               11.7               10.5
------------------------------------------------------------------------
Note: Detail may not add to total due to rounding.

c. Derivation of the Detailed Cost Weights
    To further divide the ``All Other'' residual cost weight estimated 
from the 2023 Medicare cost report data into more detailed cost 
categories, we propose to use the 2017 Benchmark I-O, ``The Use Table 
(Supply-Use Framework),'' for NAICS 622000, Hospitals, published by the 
Bureau of Economic Analysis (BEA). These data are publicly available at 
the following website: https://www.bea.gov/industry/input-output-accounts-data. The BEA Benchmark I-O data are generally scheduled for 
publication every 5 years on a lagged basis, with the most recent data 
available for 2017. The 2017 Benchmark I-O data are derived from the 
2017 Economic Census and are the building blocks for BEA's economic 
accounts. Therefore, they represent the most comprehensive and complete 
set of data on the economic processes or mechanisms by which output is 
produced and distributed.\209\ BEA also produces Annual I-O estimates. 
However, while based on a similar methodology, these estimates reflect 
less comprehensive and less detailed data sources and are subject to 
revision when benchmark data become available. Instead of using the 
less detailed Annual I-O data, we propose to inflate the detailed 2017 
Benchmark I-O data forward to 2023 by applying the annual price changes 
from the respective price proxies to the appropriate market basket cost 
categories that are obtained from the 2017 Benchmark I-O data and 
calculated the cost shares that each cost category represents using the 
inflated data. These resulting 2023 cost shares were applied to the 
residual ``All Other'' cost weight to obtain the detailed cost weights 
for the proposed 2023-based IPPS market basket. For example, the cost 
for Food: Direct Purchases represents 4.0 percent of the sum of the 
residual ``All Other'' 2017 Benchmark I-O Hospital Expenditures 
inflated to 2023. Therefore, the Food: Direct Purchases cost weight 
represents 4.0 percent of the proposed 2023-based IPPS market basket's 
``All Other'' cost category (33.2 percent), yielding a Food: Direct 
Purchases proposed cost weight of 1.3 percent in the proposed 2023-
based IPPS market basket (0.040 x 33.2 percent = 1.3 percent). For the 
2018-based IPPS market basket (86 FR 45198), we used the same 
methodology utilizing the 2012 Benchmark I-O data (aged to 2018).
---------------------------------------------------------------------------

    \209\ https://www.bea.gov/papers/pdf/IOmanual_092906.pdf.
---------------------------------------------------------------------------

    Using this methodology, we propose to derive 17 detailed cost 
categories from the proposed 2023-based IPPS market basket residual 
cost weight (33.2 percent). These categories are: (1) Fuel: Oil and 
Gas; (2) Electricity and Other Non-Fuel Utilities; (3) Food: Direct 
Purchases; (4) Food: Contract Services; (5) Chemicals; (6) Medical 
Instruments; (7) Rubber and Plastics; (8) Paper and Printing Products; 
(9) Miscellaneous Products; (10) Professional Fees: Labor-Related; (11) 
Administrative and Facilities Support Services; (12) Installation, 
Maintenance, and Repair Services; (13) All Other: Labor-Related 
Services; (14) Professional Fees: Nonlabor-Related; (15) Financial 
Services; (16) Telephone Services; and (17) All Other: Nonlabor-Related 
Services. We note that these are the same categories that were used in 
the 2018-based IPPS market basket.
2. Selection of Proposed Price Proxies
    After computing the proposed 2023 cost weights for the IPPS market 
basket, it was necessary to select appropriate wage and price proxies 
to reflect the rate of price change for each expenditure category. With 
the exception of the

[[Page 18241]]

proxy for professional liability insurance (PLI), all the proxies we 
are proposing are based on Bureau of Labor Statistics (BLS) data and 
are grouped into one of the following BLS categories:
     Producer Price Indexes--Producer Price Indexes (PPIs) 
measure the average change over time in the selling prices received by 
domestic producers for their output. The prices included in the PPI are 
from the first commercial transaction for many products and some 
services (https://www.bls.gov/ppi/).
     Consumer Price Indexes--Consumer Price Indexes (CPIs) 
measure the average change over time in the prices paid by urban 
consumers for a market basket of consumer goods and services (https://www.bls.gov/cpi/). CPIs are only used when the purchases are similar to 
those of retail consumers rather than purchases at the producer level, 
or if no appropriate PPIs are available.
     Employment Cost Indexes--Employment Cost Indexes (ECIs) 
measure the rate of change in employee wage rates and employer costs 
for employee benefits per hour worked. These indexes are fixed-weight 
indexes and strictly measure the change in wage rates and employee 
benefits per hour. ECIs are superior to Average Hourly Earnings (AHE) 
as price proxies for input price indexes because they are not affected 
by shifts in occupation or industry mix, and because they measure pure 
price change and are available by both occupational group and by 
industry. The industry ECIs are based on the NAICS and the occupational 
ECIs are based on the Standard Occupational Classification System 
(SOC).
    We evaluated the price proxies using the criteria of reliability, 
timeliness, availability, and relevance:
     Reliability. Reliability indicates that the index is based 
on valid statistical methods and has low sampling variability. Widely 
accepted statistical methods ensure that the data were collected and 
aggregated in a way that can be replicated. Low sampling variability is 
desirable because it indicates that the sample reflects the typical 
members of the population. (Sampling variability is variation that 
occurs by chance because only a sample was surveyed rather than the 
entire population.)
     Timeliness. Timeliness implies that the proxy is published 
regularly, preferably at least once a quarter. The market basket levels 
are updated quarterly, and therefore, it is important for the 
underlying price proxies to be up-to-date, reflecting the most recent 
data available. We believe that using proxies that are published 
regularly (at least quarterly, whenever possible) helps to ensure that 
we are using the most recent data available to update the market 
basket. We strive to use publications that are disseminated frequently, 
because we believe that this is an optimal way to stay abreast of the 
most current data available.
     Availability. Availability means that the proxy is 
publicly available. We prefer that our proxies are publicly available 
because this will help ensure that our market basket updates are as 
transparent to the public as possible. In addition, this enables the 
public to be able to obtain the price proxy data on a regular basis.
     Relevance. Relevance means that the proxy is applicable 
and representative of the cost category weight to which it is applied.
    We believe the proposed PPIs, CPIs, and ECIs selected meet these 
criteria. Therefore, we believe that they continue to be the best proxy 
of price changes for the cost categories to which they would be 
applied.
    In this proposed rule, we present a detailed explanation of the 
price proxies that we propose for each cost category weight.
a. Wages and Salaries
    We propose to use the ECI for Wages and Salaries for All Civilian 
Workers in Hospitals (BLS series code CIU1026220000000I) to proxy the 
price growth of this cost category. This is the same price proxy used 
in the 2018-based IPPS market basket.
b. Employee Benefits
    We propose to use the ECI for Total Benefits for All Civilian 
Workers in Hospitals to proxy the price growth of this cost category. 
This ECI is calculated using the ECI for Total Compensation for All 
Civilian Workers in Hospitals (BLS series code CIU1016220000000I) and 
the relative importance of wages and salaries within total 
compensation. This is the same price proxy used in the 2018-based IPPS 
market basket.
c. Fuel: Oil and Gas
    For the proposed 2023-based IPPS market basket, we propose to use a 
blend of the PPI Industry for Petroleum Refineries (NAICS 3241), PPI 
for Other Petroleum and Coal Products (NAICS 32419) and the PPI 
Commodity for Natural Gas. Our analysis of the Bureau of Economic 
Analysis' 2017 Benchmark I-O data for NAICS 622000 Hospitals shows that 
Petroleum Refineries expenses account for approximately 86 percent, 
Other Petroleum and Coal Products expenses account for about 7 percent 
and Natural Gas expenses account for approximately 7 percent of 
Hospitals' (NAICS 622000) total Fuel: Oil and Gas expenses. Therefore, 
we propose to use a blend of 86 percent of the PPI Industry for 
Petroleum Refineries (BLS series code PCU324110324110), 7 percent of 
the PPI for Other Petroleum and Coal Products (BLS series code 
PCU32419) and 7 percent of the PPI Commodity Index for Natural Gas (BLS 
series code WPU0531) as the price proxy for this cost category. The 
2018-based IPPS market basket used a 90/10 blend of the PPI Industry 
for Petroleum Refineries and PPI Commodity for Natural Gas, reflecting 
the 2012 I-O data (86 FR 45199). We believe that the three proposed 
price proxies are the most technically appropriate indices available to 
proxy the price growth of the Fuel: Oil and Gas cost category in the 
proposed 2023-based IPPS market basket.
d. Electricity and Other Non-Fuel Utilities
    We propose to use the PPI Commodity for Commercial Electric Power 
(BLS series code WPU0542) to proxy the price growth of this cost 
category. This is the same price proxy used in the 2018-based IPPS 
market basket.
e. Professional Liability Insurance
    We propose to proxy price changes in hospital professional 
liability insurance premiums (PLI) using percentage changes as 
estimated by the CMS Hospital Professional Liability Index. To generate 
these estimates, we collect commercial insurance medical liability 
premiums for a fixed level of coverage while holding nonprice factors 
constant (such as a change in the level of coverage). This is the same 
price proxy used in the 2018-based IPPS market basket.
f. Pharmaceuticals
    We propose to use the PPI Commodity for Pharmaceuticals for Human 
Use, Prescription (BLS series code WPUSI07003) to proxy the price 
growth of this cost category. This is the same price proxy used in the 
2018-based IPPS market basket.
g. Food: Direct Purchases
    We propose to use the PPI Commodity for Processed Foods and Feeds 
(BLS series code WPU02) to proxy the price growth of this cost 
category. This is the same price proxy used in the 2018-based IPPS 
market basket.
h. Food: Contract Services
    We propose to use the CPI for Food Away From Home (All Urban 
Consumers) (BLS series code

[[Page 18242]]

CUUR0000SEFV) to proxy the price growth of this cost category. This is 
the same price proxy used in the 2018-based IPPS market basket.
i. Chemicals
    Similar to the 2018-based IPPS market basket, we propose to use a 
four-part blended PPI as the proxy for the Chemicals cost category in 
the proposed 2023-based IPPS market basket. The proposed blend is 
composed of the PPI Industry for Industrial Gas Manufacturing, Primary 
Products (BLS series code PCU325120325120P), the PPI Industry for Other 
Basic Inorganic Chemical Manufacturing (BLS series code PCU32518-
32518), the PPI Industry for Other Basic Organic Chemical Manufacturing 
(BLS series code PCU32519-32519), and the PPI Industry for Other 
Miscellaneous Chemical Product Manufacturing (BLS series code 
PCU325998325998). For the proposed 2023-based IPPS market basket, we 
propose to derive the weights for the PPIs using the 2017 Benchmark I-O 
data. The 2018-based IPPS market basket used the 2012 Benchmark I-O 
data to derive the weights for the four PPIs (86 FR 45200).
    Table IV-03 shows the proposed weights for each of the four PPIs 
used to create the blended index compared to those used for the 2018-
based IPPS market basket.

                                    Table IV-03--Blended Chemical PPI Weights
----------------------------------------------------------------------------------------------------------------
                                                                                    2018-based    Proposed 2023-
                 NAICS                                     Name                    IPPS weights     based IPPS
                                                                                        (%)         weights (%)
----------------------------------------------------------------------------------------------------------------
325120.................................  PPI Industry for Industrial Gas                      19              26
                                          Manufacturing.
325180.................................  PPI Industry for Other Basic Inorganic               13              10
                                          Chemical Manufacturing.
325190.................................  PPI Industry for Other Basic Organic                 60              49
                                          Chemical Manufacturing.
325998.................................  PPI Industry for Other Miscellaneous                  8              15
                                          Chemical Product Manufacturing.
----------------------------------------------------------------------------------------------------------------

j. Blood and Blood Products
    We propose to use the PPI Industry for Blood and Organ Banks (BLS 
series code PCU621991621991) to proxy the price growth of this cost 
category. This is the same price proxy used in the 2018-based IPPS 
market basket.
k. Medical Instruments
    We propose to use a blended price proxy for the Medical Instruments 
category, as shown in Table IV-04. The 2017 Benchmark I-O data shows 
the majority of medical instruments and supply costs are for NAICS 
339112--Surgical and medical instrument manufacturing costs 
(approximately 64 percent) and NAICS 339113--Surgical appliance and 
supplies manufacturing costs (approximately 36 percent). To proxy the 
price changes associated with NAICS 339112, we propose using the PPI 
Commodity for Surgical and medical instruments (BLS series code 
WPU1562). To proxy the price changes associated with NAICS 339113, we 
propose to use a 50/50 blend of the PPI Commodity for Medical and 
surgical appliances and supplies (BLS series code WPU1563) and the PPI 
Commodity for Miscellaneous products, Personal safety equipment and 
clothing (BLS series code WPU1571). We propose to include the latter 
price proxy as it would reflect personal protective equipment including 
but not limited to face shields and protective clothing. The 2017 
Benchmark I-O data does not provide specific expenses for these 
products; however, we recognize that this category reflects costs faced 
by IPPS hospitals. These are the same price proxies used in the 2018-
based IPPS market basket.

                              Table IV-04--Blended Medical Instruments PPI Weights
----------------------------------------------------------------------------------------------------------------
                                                                                    2018-based    Proposed 2023-
                 NAICS                                     Name                    IPPS weights     based IPPS
                                                                                        (%)         weights (%)
----------------------------------------------------------------------------------------------------------------
339112.................................  PPI Commodity for Surgical and medical               56              64
                                          instruments.
339113.................................  PPI--Commodity for Medical and surgical              22              18
                                          appliances and supplies.
                                         PPI Commodity for Miscellaneous                      22              18
                                          products, Personal safety equipment
                                          and clothing.
----------------------------------------------------------------------------------------------------------------

l. Rubber and Plastics
    We propose to use the PPI Commodity for Rubber and Plastic Products 
(BLS series code WPU07) to proxy the price growth of this cost 
category. This is the same price proxy used in the 2018-based IPPS 
market basket.
m. Paper and Printing Products
    We propose to use a 61/39 blend of the PPI Commodity for 
Publications Printed Matter and Printing Material (BLS Series Code 
WPU094) and the PPI Commodity for Converted Paper and Paperboard 
Products (BLS series code WPU0915) to proxy the price growth of this 
cost category. The 2017 Benchmark I-O data shows that 61 percent of 
paper and printing expenses are for Printing (NAICS 323110) and the 
remaining expenses are for Paper manufacturing (NAICS 322). The 2018-
based IPPS market basket (86 FR 45201) used the PPI Commodity for 
Converted Paper and Paperboard Products (BLS series code WPU0915) as 
this comprised the majority of expenses as reported in the 2012 
Benchmark I-O data.
n. Miscellaneous Products
    We propose to use the PPI Commodity for Finished Goods Less Food 
and Energy (BLS series code WPUFD4131) to proxy the price growth of 
this cost category. This is the same price proxy used in the 2018-based 
IPPS market basket.
o. Professional Fees: Labor-Related
    We propose to use the ECI for Total Compensation for Private 
Industry Workers in Professional and Related (BLS series code 
CIU2010000120000I) to proxy the price growth of this category. It 
includes occupations such as legal, accounting, and engineering 
services. This is the same price proxy used in the 2018-based IPPS 
market basket.

[[Page 18243]]

p. Administrative and Facilities Support Services
    We propose to use the ECI for Total Compensation for Private 
Industry Workers in Office and Administrative Support (BLS series code 
CIU2010000220000I) to proxy the price growth of this category. This is 
the same price proxy used in the 2018-based IPPS market basket.
q. Installation, Maintenance, and Repair Services
    We propose to use the ECI for Total Compensation for All Civilian 
Workers in Installation, Maintenance, and Repair (BLS series code 
CIU1010000430000I) to proxy the price growth of this cost category. 
This is the same proxy used in the 2018-based IPPS market basket.
r. All Other: Labor-Related Services
    We propose to use the ECI for Total Compensation for Private 
Industry Workers in Service Occupations (BLS series code 
CIU2010000300000I) to proxy the price growth of this cost category. 
This is the same price proxy used in the 2018-based IPPS market basket.
s. Professional Fees: Nonlabor-Related
    We propose to use the ECI for Total Compensation for Private 
Industry Workers in Professional and Related (BLS series code 
CIU2010000120000I) to proxy the price growth of this category. This is 
the same price proxy that we proposed to use for the Professional Fees: 
Labor-Related cost category and the same price proxy used in the 2018-
based IPPS market basket.
t. Financial Services
    We propose to use the ECI for Total Compensation for Private 
Industry Workers in Financial Activities (BLS series code 
CIU201520A000000I) to proxy the price growth of this cost category. 
This is the same price proxy used in the 2018-based IPPS market basket.
u. Telephone Services
    We propose to use the CPI for Telephone Services (BLS series code 
CUUR0000SEED) to proxy the price growth of this cost category. This is 
the same price proxy used in the 2018-based IPPS market basket.
v. All Other: Nonlabor-Related Services
    We propose to use the CPI for All Items Less Food and Energy (BLS 
series code CUUR0000SA0L1E) to proxy the price growth of this cost 
category. We believe that using the CPI for All Items Less Food and 
Energy avoids double counting of changes in food and energy prices as 
they are already captured elsewhere in the market basket. This is the 
same price proxy used in the 2018-based IPPS market basket.
    Table IV-05 sets forth the proposed 2023-based IPPS market basket, 
including the cost categories and their respective weights and price 
proxies. For comparison purposes, the corresponding 2018-based IPPS 
market basket cost weights also are listed.

  Table IV-05--2023-Based IPPS Market Basket Cost Categories, Cost Weights, and Price Proxies Compared to 2018-
                                      Based IPPS Market Basket Cost Weights
----------------------------------------------------------------------------------------------------------------
                                               2018-based    Proposed 2023-
                                               IPPS market     based IPPS      Proposed 2023-based IPPS market
              Cost categories                  basket cost    market basket          basket price proxies
                                                 weights      cost weights
----------------------------------------------------------------------------------------------------------------
1. Compensation............................            53.0            51.1  ...................................
    A. Wages and Salaries \1\..............            41.2            40.6  ECI for Wages and Salaries for All
                                                                              Civilian Workers in Hospitals.
    B. Employee Benefits \1\...............            11.7            10.5  ECI for Total Benefits for All
                                                                              Civilian Workers in Hospitals.
2. Utilities...............................             2.3             1.8  ...................................
    A. Electricity and Other Non-Fuel                   1.5             1.5  PPI Commodity for Commercial
     Utilities.                                                               Electric Power.
    B. Fuel: Oil and Gas...................             0.8             0.4  Blend of PPIs.
3. Professional Liability Insurance........             1.0             1.0  CMS Hospital Professional Liability
                                                                              Insurance Premium Index.
4. All Other...............................            43.8            46.0  ...................................
    A. All Other Products..................            18.4            20.5  ...................................
        (1.) Pharmaceuticals...............             7.1             7.4  PPI Commodity for Pharmaceuticals
                                                                              for Human Use, Prescription.
        (2.) Food: Direct Purchases........             1.6             1.3  PPI Commodity for Processed Foods
                                                                              and Feeds.
        (3.) Food: Contract Services.......             1.8             2.2  CPI for Food Away From Home.
        (4.) Chemicals.....................             0.6             0.6  Blend of PPIs.
        (5.) Blood and Blood Products......             0.6             0.5  PPI Industry for Blood and Organ
                                                                              Banks.
        (6.) Medical Instruments...........             4.1             5.3  Blend of PPIs.
        (7.) Rubber and Plastics...........             0.6             0.7  PPI Commodity for Rubber and
                                                                              Plastic Products.
        (8.) Paper and Printing Products...             0.9             0.9  Blend of PPIs.
        (9.) Miscellaneous Products........             1.2             1.5  PPI Commodity for Finished Goods
                                                                              less Food and Energy.
    B. Labor-Related Services..............            14.7            14.8  ...................................
        (1.) Professional Fees: Labor-                  8.6            10.0  ECI for Total Compensation for
         Related.                                                             Private Industry Workers in
                                                                              Professional and Related.
        (2.) Administrative and Facilities              1.1             0.8  ECI for Total Compensation for
         Support Services.                                                    Private Industry Workers in Office
                                                                              and Administrative Support.
        (3.) Installation, Maintenance and              2.4             1.5  ECI for Total Compensation for
         Repair Services.                                                     Civilian Workers in Installation,
                                                                              Maintenance, and Repair.
        (4.) All Other: Labor-Related                   2.6             2.6  ECI for Total Compensation for
         Services.                                                            Private Industry Workers in
                                                                              Service Occupations.
    C. Nonlabor-Related Services...........            10.7            10.7  ...................................
        (1.) Professional Fees: Nonlabor-               7.0             7.0  ECI for Total Compensation for
         Related.                                                             Private Industry Workers in
                                                                              Professional and Related.

[[Page 18244]]

 
        (2.) Financial Services............             1.4             1.8  ECI for Total Compensation for
                                                                              Private Industry Workers in
                                                                              Financial Activities.
        (3.) Telephone Services............             0.4             0.3  CPI for Telephone Services.
        (4.) All Other: Nonlabor-Related                1.8             1.5  CPI for All Items less Food and
         Services.                                                            Energy.
                                            --------------------------------
            Total..........................           100.0           100.0  ...................................
----------------------------------------------------------------------------------------------------------------
Note: The cost weights are calculated using three decimal places. For presentational purposes, we are displaying
  one decimal and, therefore, the detail may not add to the total due to rounding.
1 Contract labor is distributed to wages and salaries and employee benefits based on the share of total
  compensation that each category represents.

    Table IV-06 compares both the historical and forecasted percent 
changes in the 2018-based IPPS market basket and the proposed 2023-
based IPPS market basket. The forecasted growth rates in Table IV-06 
are based on IHS Global Inc.'s (IGI's) fourth quarter 2024 forecast 
with historical data through third quarter 2024.

  Table IV-06--2018-Based and Proposed 2023-Based IPPS Hospital Market
             Basket Percent Change, FY 2021 Through FY 2028
------------------------------------------------------------------------
                                                         Proposed 2023-
                                     2018-based IPPS   based IPPS market
         Fiscal year (FY)             market basket     basket  percent
                                      percent change         change
------------------------------------------------------------------------
Historical data:
    FY 2021.......................                3.0                2.8
    FY 2022.......................                5.7                5.3
    FY 2023.......................                4.8                4.9
    FY 2024.......................                3.6                3.7
    Average FYs 2021-2024.........                4.3                4.2
Forecast:
    FY 2025.......................                3.4                3.5
    FY 2026.......................                3.3                3.2
    FY 2027.......................                3.1                3.0
    FY 2028.......................                2.9                2.9
    Average FYs 2025-2028.........                3.2                3.2
------------------------------------------------------------------------
Source: IHS Global, Inc., 4th Quarter 2024 forecast.

    The average percent change of the proposed 2023-based IPPS market 
basket is 0.1 percentage point lower than the average percent change of 
the 2018-based IPPS market basket over the FY 2021 through FY 2024 time 
period. For FY 2026, the proposed 2023-based IPPS market basket is 
projected to increase 3.2 percent, which is 0.1 percentage point lower 
than the FY 2026 projected increase of the 2018-based IPPS market 
basket. The lower projected increase of the proposed 2023-based IPPS 
market basket compared to the 2018-based IPPS market basket is 
primarily a result of the lower compensation cost weight in the 
proposed 2023-based IPPS market basket. The compensation cost weights 
in the proposed 2023-based and 2018-based IPPS market basket were 
calculated from the hospital Medicare cost reports using the same 
methodology.
3. Labor-Related Share
    Under section 1886(d)(3)(E) of the Act, the Secretary estimates 
from time to time the proportion of payments that are labor-related. 
Section 1886(d)(3)(E) of the Act states that the Secretary shall adjust 
the proportion, (as estimated by the Secretary from time to time) of 
hospitals' costs which are attributable to wages and wage-related 
costs, of the DRG prospective payment rates. We refer to the proportion 
of hospitals' costs that are attributable to wages and wage-related 
costs as the ``labor-related share.''
    The labor-related share is used to determine the proportion of the 
national PPS base payment rate to which the area wage index is applied. 
We include a cost category in the labor-related share if the costs are 
labor intensive and vary with the local labor market. For this proposed 
rule, we propose to include in the labor-related share the national 
average proportion of operating costs that are attributable to the 
following cost categories in the proposed 2023-based IPPS market 
basket: Wages and Salaries, Employee Benefits, Professional Fees: 
Labor-Related, Administrative and Facilities Support Services, 
Installation, Maintenance, and Repair Services, and All Other: Labor-
Related Services, as we did in the FY 2022 IPPS/LTCH PPS final rule (86 
FR 45204).
    Similar to the 2018-based IPPS market basket, for the proposed 
2023-based IPPS market basket we propose to classify expenses into the 
Professional Fees: Labor-Related cost category using the Benchmark I-O 
data, and then for this rebasing supplement these estimates with data 
obtained from the Medicare hospital cost report regarding the 
proportion of expenses classified as professional fees (for example, 
advertising, legal services, accounting and auditing, engineering, and

[[Page 18245]]

management consulting) that are purchased within the local area labor 
market. The 2018-based IPPS market basket (86 FR 45204 through 45205) 
used a survey of hospitals conducted by CMS in 2008 (OMB Control Number 
0938-1036) to supplement the Benchmark I-O data and determine this 
proportion. Effective for transmittal 18 (https://www.cms.gov/Regulations-and-Guidance/Guidance/Transmittals/Transmittals/r18p240i), 
the hospital Medicare cost report (CMS Form 2552-10, OMB No. 0938-0050) 
Worksheet S-2, Part I collects information on whether a hospital 
purchased professional services (for example, legal, accounting, tax 
preparation, bookkeeping, payroll, advertising, and management/
consulting services or both) from an unrelated organization and if the 
majority of these expenses were purchased from unrelated organizations 
located outside of the main hospital's local area labor market.
    For the proposed 2023-based IPPS market basket, we propose to 
determine the proportion of expenses classified as professional fees 
that meet our definition of labor-related services based on the 
Medicare cost report data. Based on these data, approximately 73 
percent of IPPS hospitals (approximately 2,100) purchased professional 
services from an unrelated organization in 2023 as reported on 
Worksheet S-2, Part I, column 1, line 123 (that is, answered Yes) and 
also indicated whether the majority of these expenses are purchased 
outside their local labor market (reported Yes or No on Worksheet S-2, 
Part I, column 2, line 123). Of those hospitals, 37 percent of them 
purchased the majority of these expenses from unrelated organizations 
located in a CBSA outside of the main hospital CBSA as reported on 
Worksheet S-2, Part I, column 2, line 123. For these reporters (which 
accounted for 32 percent of total Medicare allowable operating costs) 
that indicated they purchased the majority of these services outside of 
the local labor market, we need to estimate a specific proportion of 
these services that are purchased inside the local labor market. For 
these reporters, we use 25 percent (the median of 1 percent to 49 
percent range) to estimate of the proportion of these services that are 
purchased inside of the local labor market. For the remaining reporters 
(which accounted for 68 percent of total Medicare allowable operating 
costs) that indicated they purchased the majority of these services 
inside the local labor market we use 75 percent (the median of 51 
percent to 100 percent). To estimate the overall proportion of expenses 
classified as professional fees that meet our definition of labor-
related services (that is, reflects services purchased inside of the 
local labor market), for the first group of reporters we multiply 32 
percent times 25 percent, which yields an estimate of 8 percent, and 
for the second group of reporters multiply 68 percent times 75 percent, 
which yields an estimated proportion of 51 percent. Combining these two 
measures yields 59 percent (8 percent plus 51 percent), which reflects 
the overall proportion of total Medicare allowable operating expenses 
that are purchased inside the local labor market and would be reflected 
in our labor-related measure. Therefore, we propose to allocate 59 
percent of the Benchmark I-O expenses classified as professional fees 
to estimate Professional Fees: Labor-Related cost weight, and 41 
percent of the Benchmark I-O expenses classified as professional fees 
to estimate Professional Fees: Nonlabor-Related cost weight.
    In the proposed 2023-based IPPS market basket, expenses classified 
as professional fees that are subject to allocation represent 
approximately 9.8 percent of total operating costs. Based on the 
Medicare cost report results, we propose to apportion 5.8 percentage 
points of the 9.8 percentage point figure into the Professional Fees: 
Labor-Related cost category (59 percent of 9.8 percent) and designate 
the remaining approximately 4.0 percentage points into the Professional 
Fees: Nonlabor-Related cost category (41 percent of 9.8 percent). We 
note that in the 2018-based IPPS market basket given the data available 
from the 2008 survey, we classified some expenses from the 2012 
Benchmark I-O data as Professional Fees: Labor-Related, some expenses 
as Professional Fees: Nonlabor-Related, and some expenses as 
professional fees subject to allocation based on the survey. We then 
applied the 2008 survey results to the following specific categories of 
expenses: Legal services, Accounting, tax preparation, bookkeeping, and 
payroll services, Architectural, engineering and related services, and 
Management consulting services. However, for the 2023-based IPPS market 
basket, we are proposing to revise the methodology to now use the data 
as reported on the Medicare cost reports (Worksheet S-2, Part I) to 
allocate all of the expenses we propose to classify as professional 
fees costs from the 2017 Benchmark I-O data. The impact of this 
proposed change is an increase in the proposed 2023-based Professional 
Fees: Labor-Related cost weight of about one percentage point.
    In addition to the professional services listed earlier, we also 
classify a proportion of the Home Office/Related Organization Contract 
Labor cost weight into the Professional Fees: Labor-Related cost 
category as was done in the previous rebasing. We believe that many of 
these costs are labor-intensive and vary with the local labor market. 
However, data indicate that not all IPPS hospitals with home offices 
have home offices located in their local labor market. Therefore, we 
propose to include in the labor-related share only a proportion of the 
Home Office/Related Organization Contract Labor cost weight based on 
the methodology described in this proposed rule.
    For the proposed 2023-based IPPS market basket, based on Medicare 
cost report data, we found that approximately 71 percent of IPPS 
hospitals reported some type of home office information on their 
Medicare cost report for 2023 (for example, city, State, and zip code). 
Using the data reported on the Medicare cost report, we compared the 
location of the hospital with the location of the hospital's home 
office. We then determined the proportion of home office/related 
organization contract labor cost that should be allocated to the labor-
related share based on the percent of the home office/related 
organization contract labor costs for those hospitals that had home 
offices located in their respective local labor markets--defined as 
being in the same MSA. We determined a hospital's and home office's 
MSAs using their zip code information from the Medicare cost report.
    Based on these data, we determined the proportion of costs that 
should be allocated to the labor-related share based on the percent of 
hospital home office/related organization contract labor costs (equal 
to the sum of Worksheet S-3, Part II, column 4, lines 14.01, 14.02, 
25.50, and 25.51). Using this methodology, we determined that 62 
percent of hospitals' home office compensation costs were for home 
offices located in their respective local labor markets. Therefore, we 
propose to allocate 62 percent of Home Office/Related Organization 
Contract Labor cost weight to the labor-related share. The 2018-based 
IPPS market basket used a 60 percent proportion, which was based on the 
same methodology and the 2018 Medicare cost report data.
    In the proposed 2023-based IPPS market basket, the Home Office/
Related Organization Contract Labor cost weight that is subject to 
allocation based on the home office allocation methodology

[[Page 18246]]

represented 6.7 percent of total operating costs. Based on the results 
of the home office analysis, as previously discussed, we apportioned 
approximately 4.2 percentage points of the 6.7 percentage points figure 
into the Professional Fees: Labor-Related cost category and designated 
the remaining approximately 2.6 percentage points into the Professional 
Fees: Nonlabor-Related cost category.\210\ In summary, based on the two 
previously mentioned allocations, we apportioned 10.0 percentage points 
(sum of the professional fees (5.8 percentage points) and Home Office/
Related Organization Contract Labor cost weight (4.2 percentage 
points)) into the Professional Fees: Labor-Related cost category. Using 
these two methods, we then apportion 6.6 percentage points (sum of the 
professional fees (4.0 percentage points) and Home Office/Related 
Organization Contract Labor cost weight (2.6 percentage points)) to the 
Professional Fees: Nonlabor-related cost category to be included with 
other costs classified as Professional Fees: Nonlabor-Related 
(approximately 0.4 percentage point), resulting in a proposed 
Professional Fees: Nonlabor-related cost weight of 7.0 percent. The 
resulting proposed 2023-based Professional Fees: Labor-related cost 
weight is about 1.4 percentage points higher than the 2018-based 
Professional Fees: Labor-related cost weight.
---------------------------------------------------------------------------

    \210\ Note: The cost weights are calculated using three decimal 
places. For presentational purposes, we are displaying one decimal 
and therefore, the detail may not add to the total due to rounding.
---------------------------------------------------------------------------

    Table IV-07 presents a comparison of the proposed 2023-based labor-
related share and the 2018-based labor-related share. As discussed in 
section IV.B.1.b. of the preamble of this proposed rule, the Wages and 
Salaries and Employee Benefits cost weights reflect contract labor 
costs.

 Table IV-07--Comparision of the 2018-Based Labor-Related Share and the
                 Proposed 2023-Based Labor-Related Share
------------------------------------------------------------------------
                                                         Proposed 2023-
                                     2018-based IPPS   based IPPS market
                                      market basket       basket cost
                                       cost weights         weights
------------------------------------------------------------------------
Wages and Salaries................               41.2               40.6
Employee Benefits.................               11.7               10.5
Professional Fees: Labor-Related..                8.6               10.0
Administrative and Facilities                     1.1                0.8
 Support Services.................
Installation, Maintenance, and                    2.4                1.5
 Repair Services..................
All Other: Labor-Related Services.                2.6                2.6
                                   -------------------------------------
    Total Labor-Related Share.....               67.6               66.0
------------------------------------------------------------------------
Note: Detail may not add to total due to rounding.

    Using the cost category weights from the proposed 2023-based IPPS 
market basket, we calculated a labor-related share of 66.0 percent, 1.6 
percentage points lower than the current labor-related share of 67.6 
percent. This downward revision to the labor-related share is primarily 
the result of incorporating the more recent 2023 Medicare cost report 
data for Wages and Salaries, Employee Benefits, and Contract Labor 
costs. This is partially offset by an increase in the Professional 
Fees: Labor-Related cost weight.
    Therefore, we propose to use a labor-related share of 66.0 percent 
for discharges occurring on or after October 1, 2025. We continue to 
believe, as we have stated in the past, that these operating cost 
categories are related to, influenced by, or vary with the local 
markets. Therefore, our definition of the labor-related share continues 
to be consistent with section 1886(d)(3) of the Act. We note that 
section 403 of Public Law 108-173 amended sections 1886(d)(3)(E) and 
1886(d)(9)(C)(iv) of the Act to provide that the Secretary must employ 
62 percent as the labor-related share unless 62 percent would result in 
lower payments to a hospital than would otherwise be made.

C. Market Basket for Certain Hospitals Presently Excluded From the IPPS

    As explained in the FY 2006 IPPS final rule (70 FR 47396 through 
47398), beginning with FY 2006, we have used the percentage increase in 
the IPPS operating market basket to update the target amounts for 
children's hospitals, the 11 cancer hospitals, and RNHCIs.
    Consistent with the regulations at Sec. Sec.  412.23(g) and 
413.40(a)(2)(ii)(A) and (c)(3)(viii), we also have used the percentage 
increase in the IPPS operating market basket to update target amounts 
for short-term acute care hospitals located in the U.S. Virgin Islands, 
Guam, the Northern Mariana Islands, and American Samoa. In the FY 2018 
IPPS/LTCH PPS final rule, we rebased and revised the IPPS operating 
market basket to a 2014 base year, effective for FY 2018 and subsequent 
fiscal years (82 FR 38158 through 38175), and finalized the use of the 
percentage increase in the 2014-based IPPS operating market basket to 
update the target amounts for children's hospitals, the 11 cancer 
hospitals, RNHCIs, and short-term acute care hospitals located in the 
U.S. Virgin Islands, Guam, the Northern Mariana Islands, and American 
Samoa for FY 2018 and subsequent fiscal years. Effective for the FY 
2022 IPPS/LTCH PPS final rule (86 FR 45194 through 45207), we rebased 
and revised the IPPS operating market basket to a 2018 base year. 
Therefore, we used the percentage increase in the 2018-based IPPS 
operating market basket to update the target amounts for children's 
hospitals, the 11 cancer hospitals, RNHCIs, and short-term acute care 
hospitals located in the U.S. Virgin Islands, Guam, the Northern 
Mariana Islands, and American Samoa for FY 2022 and subsequent fiscal 
years.
    As discussed in this section IV. of the preamble of this proposed 
rule, we propose to rebase and revise the IPPS operating market basket 
to a 2023 base year. We continue to believe that it is appropriate to 
use the increase in the IPPS operating market basket to update the 
target amounts for these excluded facilities, as discussed in prior 
rulemaking. Therefore, we propose to use the percentage increase in the 
proposed 2023-based IPPS operating market basket to update the target 
amounts for children's hospitals, the 11 cancer hospitals, RNHCIs, and 
short-term acute care hospitals located in the U.S. Virgin Islands, 
Guam, the Northern

[[Page 18247]]

Mariana Islands, and American Samoa for FY 2026 and subsequent fiscal 
years. Accordingly, for FY 2026, the rate-of increase percentage to be 
applied to the target amount for these hospitals would be the FY 2026 
percentage increase in the proposed 2023-based IPPS operating market 
basket. Furthermore, we are proposing that if more recent data become 
available for the FY 2026 IPPS/LTCH PPS final rule, we would use such 
data, if appropriate, to calculate the IPPS operating market basket 
rate of increase for FY 2026.

D. Rebasing and Revising the Capital Input Price Index (CIPI)

    The CIPI was originally described in the FY 1993 IPPS final rule 
(57 FR 40016). There have been subsequent discussions of the CIPI 
presented in the IPPS proposed and final rules. The FY 2022 IPPS/LTCH 
PPS final rule (86 FR 45208 through 45213) described the most recent 
rebasing and revising of the CIPI to a 2018 base year, which reflected 
the capital cost structure of IPPS hospitals available at that time.
    Effective for FY 2026, we are proposing to rebase and revise the 
CIPI to a 2023 base year to reflect a more current structure of capital 
costs for IPPS hospitals. We invite public comments on our proposed 
methodology discussed in this section of this proposed rule, for 
deriving the proposed 2023-based CIPI. This proposed 2023-based CIPI 
was derived using data from the 2023 cost reports for IPPS hospitals, 
which includes providers whose cost reporting period began on or after 
October 1, 2022, and prior to September 30, 2023. We are also proposing 
to start with the same subset of Medicare cost reports from IPPS 
hospitals as previously described in section IV.B.1.a. of the preamble 
of this proposed rule. As with the 2018-based index, we are proposing 
to develop two sets of weights to derive the proposed 2023-based CIPI. 
The first set of weights identifies the proportion of hospital capital 
expenditures attributable to each expenditure category, while the 
second set of weights is a set of relative vintage weights for 
depreciation and interest. The set of vintage weights is used to 
identify the proportion of capital expenditures within a cost category 
that is attributable to each year over the useful life of the capital 
assets in that category. A more thorough discussion of vintage weights 
is provided later in this section.
    Using 2023 Medicare cost reports (CMS Form 2552-10, OMB Control 
number 0938-0050), we are able to obtain capital costs for the 
following categories: Depreciation, Interest, Lease, and Other. 
Specifically, we are proposing to determine what proportion of total 
capital costs that each category represents using the data reported by 
IPPS hospitals on Worksheet A-7, Part III. We are proposing that 
Depreciation costs are equal to the sum of Worksheet A-7, Part III, 
column 9, lines 1 and 2. We are proposing that Interest costs are equal 
to the sum of Worksheet A-7, Part III, column 11, lines 1 and 2. We are 
proposing that Lease costs are equal to the sum of Worksheet A-7, Part 
III, column 10, lines 1 and 2. We are proposing that Other costs are 
equal to the sum of Worksheet A-7, Part III, columns 12 through 14, 
lines 1 and 2. We are proposing that Total Capital costs are equal to 
the sum of Worksheet A-7, Part III, column 15, lines 1 and 2. We are 
proposing to derive cost weights for each IPPS hospital for each CIPI 
cost category by calculating the ratio of the costs reported for each 
cost category (for example, Depreciation) to Total Capital costs. 
Finally, we are proposing to apply a set of simultaneous trims based on 
these derived cost weights to remove outliers. Specifically, we are 
proposing to only include cost reports for providers where their 
Depreciation cost weight is between 25 percent and 90 percent; Interest 
cost weight is between 0 and 75 percent, Lease cost weight is between 0 
and 50 percent and Total Capital costs are greater than zero and less 
than Total Facility Costs reported on Worksheet B, Part I, column 26, 
line 202. The trimming process is done simultaneously on each cost 
category so that if a cost weight is outside the specific range for one 
or more of the cost weight criteria mentioned, the provider is excluded 
from the sample. We note that these proposed trimming methods are the 
same types of edits performed for the 2018-based CIPI. We then are 
proposing to sum the costs for each cost category (Depreciation, 
Interest, Lease, and Other) and divide each sum by the sum of Total 
Capital costs for this same set of IPPS hospitals. The ratio of the 
total costs for each category to the sum of Total Capital costs 
represents the cost weight for each of the Depreciation, Interest, 
Lease and Other cost categories. This is the same methodology as was 
used for the 2018-based CIPI. As shown in the left column of Table IV-
08, in 2023 depreciation expenses accounted for 67.2 percent of total 
capital costs, interest expenses accounted for 15.2 percent, leasing 
expenses accounted for 11.6 percent, and other capital expenses 
accounted for 6.0 percent.
    We also are proposing to allocate lease costs across each of the 
remaining capital cost categories as was done in the 2018-based CIPI. 
We are proposing to proportionally distribute leasing costs among the 
cost categories of Depreciation, Interest, and Other, reflecting the 
assumption that the underlying cost structure of leases is similar to 
that of capital costs in general. As was done for the 2018-based CIPI, 
we are proposing to assume that 10 percent of the lease costs as a 
proportion of total capital costs represents overhead and to assign 
those costs to the Other capital cost category accordingly. Therefore, 
we are assuming that approximately 1.2 percent (11.6 percent x 0.1) of 
total capital costs represent lease costs attributable to overhead, and 
we are proposing to add this 1.2 percent to the 6.0 percent Other cost 
category weight. We are then proposing to distribute the remaining 
lease costs (10.4 percent, or 11.6 percent-1.2 percent) proportionally 
across the three cost categories (Depreciation, Interest, and Other) 
based on the proportion that these categories comprise of the sum of 
the Depreciation, Interest, and Other cost categories (excluding lease 
expenses). For example, the Other cost category represented 6.7 percent 
of all three cost categories (Depreciation, Interest, and Other) prior 
to any lease expenses being allocated. This 6.7 percent is applied to 
the 10.4 percent of remaining lease expenses so that another 0.7 
percent of lease expenses as a percent of total capital costs is 
allocated to the Other cost category. Therefore, the resulting proposed 
Other cost weight is 7.8 percent (calculated using unrounded numbers, 
which is approximately equal to 6.0 percent + 1.2 percent + 0.7 
percent). This is the same methodology used for the 2018-based CIPI. 
The resulting cost weights of the proposed allocation of lease expenses 
are shown in the right column of Table IV-08.

[[Page 18248]]



Table IV-08--Proposed Allocation of Lease Expenses for the Proposed 2023-
                               Based CIPI
------------------------------------------------------------------------
                                      Proposed cost      Proposed cost
                                     shares obtained      shares after
                                      from medicare      allocation of
          Cost categories              cost reports      lease expenses
                                    (percent of total  (percent of total
                                      capital costs)     capital costs)
------------------------------------------------------------------------
Depreciation......................               67.2               75.1
Interest..........................               15.2               17.0
Lease.............................               11.6  .................
Other.............................                6.0                7.8
------------------------------------------------------------------------
Note: Detail may not add to 100 percent due to rounding.

    Finally, we are proposing to further divide the Depreciation and 
Interest cost categories. We are proposing to separate the Depreciation 
cost category into the following two categories: (1) Building and Fixed 
Equipment and (2) Movable Equipment. We also are proposing to separate 
the Interest cost category into the following two categories: (1) 
Government/Nonprofit; and (2) For-profit. These are the same categories 
used for the 2018-based CIPI.
    To disaggregate the depreciation cost weight, we needed to 
determine the percent of total depreciation costs for IPPS hospitals 
(after the allocation of lease costs) that are attributable to building 
and fixed equipment, which we hereafter refer to as the ``fixed 
percentage.'' After applying the trim requiring that the Depreciation 
cost weight is between 25 percent and 90 percent as described 
previously, for the providers remaining, we calculate the fixed 
percentage as the ratio of the sum of building and fixed equipment 
depreciation (Worksheet A-7, Part III, column 9, line 1) to the sum of 
total depreciation (sum of Worksheet A-7, Part III column 9, lines 1 
and 2). Based on the 2023 IPPS Medicare cost reports, we have 
determined that depreciation costs for building and fixed equipment 
account for approximately 52 percent of total depreciation costs, while 
depreciation costs for movable equipment account for approximately 48 
percent of total depreciation costs. This is the same methodology used 
for the 2018-based CIPI. As was done for the 2018-based CIPI, we are 
proposing to apply this fixed percentage to the depreciation cost 
weight (after leasing costs are included) to derive a Depreciation cost 
weight attributable to Building and Fixed Equipment and a Depreciation 
cost weight attributable to Movable Equipment.
    To disaggregate the Interest cost weight, we needed to determine 
the percent of total interest costs for IPPS hospitals that are 
attributable to government and nonprofit facilities, which we hereafter 
refer to as the ``nonprofit percentage,'' because interest price 
pressures tend to differ between nonprofit and for-profit facilities. 
After applying the trim requiring that the Interest cost weight is 
between 0 percent and 75 percent as described previously, for the 
providers remaining, we calculate the nonprofit percentage as the ratio 
of the sum of interest costs (Worksheet A-7, Part III, column 11, lines 
1 and 2) for government and nonprofit facilities to the sum of total 
interest costs for all facilities. This is the same methodology used 
for the 2018-based CIPI. The nonprofit percentage determined using this 
method is 91 percent. Table IV-09 provides a comparison of the 2018-
based CIPI cost weights and the proposed 2023-based CIPI cost weights. 
After the capital cost category weights were computed, it was necessary 
to select appropriate price proxies to reflect the rate-of-increase for 
each expenditure category. We are proposing to use the same price 
proxies as were used in the 2018-based CIPI, which are listed in Table 
IV-09. We also are proposing to continue to vintage weight the capital 
price proxies for Depreciation and Interest to capture the long-term 
consumption of capital. This vintage weighting method is the same 
general method that was used for the 2018-based CIPI (with a proposed 
change to the data source used to derive the vintage weights) and is 
described later in this section of this proposed rule.
    For the Depreciation--Building and Fixed Equipment cost category, 
we are proposing to continue to use the BEA Chained Price Index for 
Private Fixed Investment in Structures, Nonresidential, Hospitals and 
Special Care (BEA Table 5.4.4. Price Indexes for Private Fixed 
Investment in Structures by Type) as the price proxy. This BEA index is 
intended to capture prices for construction of facilities such as 
hospitals, nursing homes, hospices, and rehabilitation centers. For the 
Depreciation--Movable Equipment cost category, we are proposing to 
continue to use the PPI Commodity for Machinery and Equipment (BLS 
series code WPU11) as the price proxy. This price index reflects price 
inflation associated with a variety of machinery and equipment that 
would be utilized by hospitals including but not limited to 
communication equipment, computers, and medical equipment. For the 
Nonprofit Interest cost category, we are proposing to continue to use 
the average yield on domestic municipal bonds (Bond Buyer 20-bond 
index) as the price proxy. For the For-profit Interest cost category, 
we are proposing to continue to use the iBoxx AAA Corporate Bond Yield 
index as the price proxy. For the Other capital cost category 
(including insurances, taxes, and other capital-related costs), we are 
proposing to continue to use the CPI for Rent of Primary Residence (All 
Urban Consumers) (BLS series code CUUS0000SEHA) as the price proxy. We 
believe that these price series continue to be the most appropriate 
proxies for IPPS capital costs that meet our selection criteria of 
relevance, timeliness, availability, and reliability.

[[Page 18249]]



  Table IV-09--Proposed 2023-Based CIPI Cost Weights and Price Proxies Compared to 2018-Based CIPI Cost Weights
----------------------------------------------------------------------------------------------------------------
                                                2018 cost     Proposed 2023
              Cost categories                    weights      cost weights           Proposed price proxy
----------------------------------------------------------------------------------------------------------------
Total......................................           100.0           100.0
    Depreciation...........................            76.8            75.1
        Building and Fixed Equipment.......            39.3            39.3  BEA's Chained Price Index for
                                                                              Private Fixed Investment in
                                                                              Structures, Nonresidential,
                                                                              Hospitals and Special Care.
        Movable Equipment..................            37.5            35.9  PPI Commodity for Machinery and
                                                                              Equipment.
    Interest...............................            16.6            17.0
        Government/Nonprofit...............            14.9            15.4  Average Yield on Domestic Municipal
                                                                              Bonds (Bond Buyer 20-Bond Index).
        For-Profit.........................             1.7             1.6  Average Yield on iBoxx AAA
                                                                              Corporate Bonds.
Other......................................             6.6             7.8  CPI for Rent of Primary Residence.
----------------------------------------------------------------------------------------------------------------
Note: The cost weights are calculated using three decimal places. For presentational purposes, we are displaying
  one decimal and therefore, the detail may not add to the total due to rounding.

    Because capital is acquired and paid for over time, capital 
expenses in any given year are determined by both past and present 
purchases of physical and financial capital. The proposed vintage-
weighted 2023-based CIPI is intended to capture the long-term 
consumption of capital, using vintage weights for depreciation 
(physical capital) and interest (financial capital). These vintage 
weights reflect the proportion of capital purchases attributable to 
each year of the expected life of building and fixed equipment, movable 
equipment, and interest.
    Vintage weights are an integral part of the CIPI. Capital costs are 
inherently complicated and are determined by complex capital purchasing 
decisions, over time, based on such factors as interest rates and debt 
financing. In addition, capital is depreciated over time instead of 
being consumed in the same period it is purchased. By accounting for 
the vintage nature of capital, we are able to provide an accurate and 
stable annual measure of price changes. Annual nonvintage price changes 
for capital are unstable due to the volatility of interest rate changes 
and, therefore, do not reflect the actual annual price changes for IPPS 
capital costs. The CIPI reflects the underlying stability of the 
capital acquisition process.
    To calculate the vintage weights for depreciation and interest 
expenses, we first needed a time series of capital purchases for 
building and fixed equipment and movable equipment. We found no single 
source that provides an appropriate time series of capital purchases by 
hospitals for all of the components of capital purchases previously 
noted. For the 2018-based CIPI, we calculated capital purchases using 
data on total expenses from the American Hospital Association (AHA) for 
the years 1964 through 2018 and the method was described in the FY 2022 
IPPS/LTCH PPS final rule (86 FR 45210). The data from AHA are no longer 
available beyond 2020 and, therefore, for the 2023-based CIPI, we are 
proposing to use an alternative data source for deriving the capital 
purchases needed to calculate the vintage weights. Specifically, we are 
proposing to obtain a time series of building and fixed equipment 
acquisitions (that is, purchases) and movable equipment acquisitions 
using two different data sources. For the years 1996 through 2023, we 
are proposing to use data from Worksheet A-7 on the Medicare cost 
report as reported by IPPS hospitals (with the exception of 2002 
through 2004 due to the temporary discontinuation of Worksheet A-7 from 
the Medicare cost report in those years). For the years 1977 through 
1995 we are proposing to use the growth rates in the building and fixed 
equipment and movable equipment acquisitions derived using our previous 
method used for the 2018-based CIPI (based on AHA data) to extrapolate 
the levels from the Medicare cost report back in time. Below we provide 
the proposed steps for calculating capital acquisitions (that is, 
capital purchases) used to derive the vintage weights for the proposed 
2023-based CIPI.
    Step 1--We obtain data from Worksheet A-7 of the Medicare cost 
reports and apply basic trims. Specifically, for 1996 through 2010 we 
use the CMS Form 2552-96, OMB Control number 0938-0050 and for 2010 
through 2023 we use the CMS Form 2552-10, OMB Control number 0938-0050 
(where 2010 data were collected using both forms). Specific cost report 
references in this discussion are based on the CMS Form 2552-10, OMB 
Control number 0938-0050. For each of the years 1996 through 2001 and 
2005 through 2023, we propose to apply a set of general trims based on 
data obtained from Worksheet A-7 requiring that total capital costs 
(sum of Worksheet A-7, part III, column 15, lines 1 and 2) are greater 
than zero; beginning values of building and fixed equipment (sum of 
Worksheet A-7, part I, column 1, lines 2 through 5) and movable 
equipment (sum of Worksheet A-7, part I, column 1, lines 6 and 7) are 
greater than zero; ending asset values of building and fixed equipment 
and movable equipment are greater than zero; building and fixed 
equipment depreciation is greater than zero; movable equipment 
depreciation is greater than zero; building and fixed equipment 
acquisitions are greater than zero; movable equipment acquisitions are 
greater than zero as well as total facility costs (Worksheet B, part I, 
column 26, line 202) are greater than zero.
    In addition to these basic edits, we also propose to remove 
outliers in the data by trimming separately the top and bottom 1 
percent building and fixed equipment useful lives and top and bottom 1 
percent movable equipment useful lives. We first calculate the building 
and fixed equipment useful life and movable equipment useful life for 
each hospital for the years 1996 through 2001 and 2005 through 2023. 
The expected life of any asset can be determined by dividing the value 
of the asset (excluding fully depreciated assets) by its current year 
depreciation amount. This calculation yields the estimated expected 
life of an asset if the rates of depreciation were to continue at 
current year levels, assuming straight-line depreciation. We propose to 
calculate the building and fixed equipment useful life as the ending 
value of fixed assets (sum of Worksheet

[[Page 18250]]

A-7, part I, column 6, lines 2 through 5, less sum of Worksheet A-7, 
part I, column 7, lines 2 through 5) divided by fixed asset 
depreciation (Worksheet A-7, part III, column 9, line 1). We propose to 
calculate the movable equipment useful life as the ending value of 
movable assets (sum of Worksheet A-7, part I, column 6, lines 6 through 
7, less sum of Worksheet A-7, part I, column 7, lines 6 through 7) 
divided by movable depreciation (Worksheet A-7, part III, column 9, 
line 2). For the remaining hospitals (after applying the top and bottom 
1 percent trim on useful lives), we obtain a time series of building 
and fixed equipment acquisitions (sum of Worksheet A-7, part I, columns 
2 and 3, lines 2 through 5) and a time series of movable equipment 
acquisitions (sum of Worksheet A-7, part I, columns 2 and 3, lines 6 
through 7).
    Step 2--Due to the temporary discontinuation of Worksheet A-7 from 
the Medicare cost reports for the years 2002 through 2004, we need to 
derive the building and fixed equipment acquisitions and movable 
equipment acquisitions using a slightly different methodology. First, 
for each of the years 1996 through 2001 and 2005 through 2023 we 
calculate the annual ratio of the sum of building and fixed equipment 
acquisitions from Worksheet A-7 to the sum of building and fixed 
equipment ending asset values from Worksheet G. We next estimate these 
fixed ratios for 2002 through 2004 (when Worksheet A-7 data are not 
available) by straight-line interpolating the ratios between 2001 and 
2005. Finally, we multiply these fixed ratios for 2002 through 2004 by 
the total ending building and fixed equipment asset values (as reported 
on Worksheet G). This results in an estimate of building and fixed 
equipment acquisitions for the years 2002 through 2004. We use this 
same methodology to derive movable equipment acquisitions using the 
movable equipment data. We note that the total ending asset values from 
Worksheet G are calculated after the application of a set of general 
trims (similar to those in Step 1) requiring total capital costs to be 
greater than zero and ending asset values of building and fixed 
equipment and movable equipment (as reported on Worksheet G) to be 
greater than zero.
    Step 3--As done with prior vintage weights (including those used in 
the 2018-based CIPI), we propose to use a time series of capital 
acquisitions of more than 50 years in the derivation of the vintage 
weights. Since we only have Medicare cost report data back to 1996, we 
are proposing to derive capital acquisitions for the prior period based 
on the capital acquisitions used to derive the vintage weights for the 
2018-based CIPI based on AHA data. Specifically, beginning with the 
1996 acquisition level derived in Step 1 (first year of data available 
from the Medicare cost reports) we propose to apply the growth rate of 
acquisitions derived using the prior method going back to 1977. We do 
this separately for both building and fixed equipment acquisitions and 
movable equipment acquisitions.
    As done in prior CIPI rebasings (including the 2018-based CIPI), in 
order to derive the proposed vintage weights, we need to calculate the 
average useful lives for building and fixed equipment and movable 
equipment based on the most recent Medicare cost report data. As 
previously described in Step 1, we propose to calculate the average 
building and fixed equipment useful life using 2023 Medicare cost 
report data as the ending asset value of building and fixed equipment 
(sum of Worksheet A-7, part I, column 6, lines 2 through 5, less sum of 
Worksheet A-7, part I, column 7, lines 2 through 5) divided by building 
and fixed equipment depreciation (Worksheet A-7, part III, column 9, 
line 1). We propose to calculate the average movable equipment useful 
life using 2023 Medicare cost report data as the ending asset value of 
movable equipment (sum of Worksheet A-7, part I, column 6, lines 6 
through 7, less sum of Worksheet A-7, part I, column 7, lines 6 through 
7) divided by movable equipment depreciation (Worksheet A-7, part III, 
column 9, line 2). Using this proposed method, we determined the 
average expected life of building and fixed equipment to be equal to 28 
years, and the average expected life of movable equipment to be equal 
to 12 years. For the expected life of interest, we believe that vintage 
weights for interest should represent the average expected life of 
building and fixed equipment because, based on previous research 
described in the FY 1997 IPPS final rule (61 FR 46198), the expected 
life of hospital debt instruments and the expected life of buildings 
and fixed equipment are similar. We note that the 2018-based CIPI was 
based on an expected average life of building and fixed equipment of 27 
years and an expected average life of movable equipment of 12 years.
    For the building and fixed equipment and movable equipment vintage 
weights, we are proposing to use the real annual capital-related 
purchase amounts for each asset type to capture the actual amount of 
the physical acquisition, net of the effect of price inflation. These 
real annual capital-related purchase amounts are produced by deflating 
the nominal annual purchase amount (as calculated in Steps 1 through 3) 
by the associated price proxy as provided earlier in this proposed 
rule. For the interest vintage weights, we are proposing to use the 
total nominal annual capital-related purchase amounts to capture the 
value of the debt instrument (including, but not limited to, mortgages 
and bonds). Using these capital purchases time series specific to each 
asset type, we are proposing to calculate the vintage weights for 
building and fixed equipment, for movable equipment, and for interest.
    The vintage weights for each asset type are deemed to represent the 
average purchase pattern of the asset over its expected life (in the 
case of building and fixed equipment and interest, 28 years, and in the 
case of movable equipment, 12 years). For each asset type, we are 
proposing to use the time series of annual capital purchases amounts 
available from 1977 to 2023. These data allow us to derive twenty 28-
year periods of capital purchases for building and fixed equipment and 
interest, and thirty-five 12-year periods of capital purchases for 
movable equipment. For each 28-year period for building and fixed 
equipment and interest, or 12-year period for movable equipment, we are 
proposing to calculate annual vintage weights by dividing the capital-
related purchase amount in any given year by the total amount of 
purchases over the entire 28-year or 12-year period. This calculation 
was done for each year in the 28-year or 12-year period and for each of 
the periods for which we have data. We then calculated the average 
vintage weight for a given year of the expected life by taking the 
average of these vintage weights across the multiple periods of data. 
This is the same methodology used for the 2018-based CIPI but using 27 
years and 12 years and reflecting data through 2018.
    The vintage weights for the proposed 2023-based CIPI and the 2018-
based CIPI are presented in Table IV-10. While we are proposing an 
alternative methodology for calculating the vintage weights due to the 
discontinuation of AHA data, Table IV-10 shows this change had limited 
impact on the results. We note that using the proposed 2023-based 
vintage weights instead of the 2018-based vintage weights has a minimal 
impact on the overall CIPI update (averaging 0.0 percent over FY 2021 
through FY 2026).

[[Page 18251]]



                                        Table IV-10--Proposed 2023-Based CIPI and 2018-Based CIPI Vintage Weights
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                           Building and fixed equipment          Movable equipment                   Interest
                                                         -----------------------------------------------------------------------------------------------
                        Year \1\                           2018-based 27  Proposed 2023-   2018-based 12  Proposed 2023-   2018-based 27  Proposed 2023-
                                                               years      based 28 years       years      based 12 years       years      based 28 years
--------------------------------------------------------------------------------------------------------------------------------------------------------
1.......................................................           0.026           0.024           0.064           0.066           0.015           0.014
2.......................................................           0.028           0.025           0.069           0.069           0.016           0.016
3.......................................................           0.029           0.026           0.072           0.072           0.018           0.017
4.......................................................           0.031           0.027           0.075           0.075           0.019           0.018
5.......................................................           0.032           0.028           0.078           0.079           0.021           0.020
6.......................................................           0.032           0.029           0.082           0.082           0.022           0.021
7.......................................................           0.033           0.030           0.086           0.085           0.023           0.022
8.......................................................           0.034           0.030           0.088           0.089           0.026           0.024
9.......................................................           0.036           0.031           0.091           0.092           0.028           0.025
10......................................................           0.036           0.031           0.095           0.094           0.029           0.026
11......................................................           0.036           0.032           0.099           0.097           0.029           0.028
12......................................................           0.036           0.033           0.101           0.100           0.031           0.030
13......................................................           0.037           0.034  ..............  ..............           0.033           0.031
14......................................................           0.038           0.035  ..............  ..............           0.036           0.033
15......................................................           0.039           0.036  ..............  ..............           0.039           0.035
16......................................................           0.040           0.037  ..............  ..............           0.041           0.037
17......................................................           0.041           0.038  ..............  ..............           0.044           0.039
18......................................................           0.042           0.039  ..............  ..............           0.046           0.041
19......................................................           0.041           0.039  ..............  ..............           0.047           0.043
20......................................................           0.041           0.040  ..............  ..............           0.049           0.045
21......................................................           0.042           0.041  ..............  ..............           0.052           0.047
22......................................................           0.042           0.042  ..............  ..............           0.053           0.049
23......................................................           0.042           0.043  ..............  ..............           0.055           0.051
24......................................................           0.042           0.044  ..............  ..............           0.055           0.053
25......................................................           0.041           0.046  ..............  ..............           0.057           0.056
26......................................................           0.041           0.047  ..............  ..............           0.058           0.058
27......................................................           0.041           0.047  ..............  ..............           0.059           0.060
28......................................................  ..............           0.047  ..............  ..............  ..............           0.062
                                                         -----------------------------------------------------------------------------------------------
    Total...............................................           1.000           1.000           1.000           1.000           1.000           1.000
--------------------------------------------------------------------------------------------------------------------------------------------------------
Note: Numbers may not add to total due to rounding.
\1\ Vintage weight in the last year (for example, year 28 for the proposed 2023-based CIPI) is applied to the most recent data point and prior vintage
  weights are applied going back in time. For example, year 28 vintage weight would be applied to the 2026q3 fixed price proxy level, year 27 vintage
  weight would be applied to the 2025q3 fixed price proxy level, etc.

    The process of creating vintage-weighted price proxies requires 
applying the vintage weights to the price proxy index where the last 
applied vintage weight in Table IV-10 is applied to the most recent 
data point. We have provided on the CMS website an example of how the 
vintage weighting price proxies are calculated, using example vintage 
weights and example price indices. The example can be found under the 
following CMS website link: https://www.cms.gov/data-research/statistics-trends-and-reports/medicare-program-rates-statistics/market-basket-research-and-information in the zip file titled ``Weight 
Calculations as described in the IPPS FY 2010 Proposed Rule.''
    Table IV-11 in this section of this proposed rule compares both the 
historical and forecasted percent changes in the 2018-based CIPI and 
the proposed 2023-based CIPI. Over the most recent historical period, 
the proposed 2023-based CIPI increases at a slightly lower rate, on 
average, than the 2018-based CIPI primarily due to rebasing the CIPI 
from 2018 to 2023 and updating the base year cost weights.

  Table IV-11--Comparison of 2018-Based and Proposed 2023-Based Capital
       Input Price Index, Percent Change, FY 2021 Through FY 2028
------------------------------------------------------------------------
                                            CIPI, 2018-   Proposed CIPI,
               Fiscal year                     based        2023-based
------------------------------------------------------------------------
Historical Data:
    FY 2021.............................             1.0             0.8
    FY 2022.............................             2.0             1.8
    FY 2023.............................             3.0             2.8
    FY 2024.............................             2.8             2.7
    Average FYs 2021-2024...............             2.2             2.0
Forecast:
    FY 2025.............................             2.7             2.6
    FY 2026.............................             2.7             2.6
    FY 2027.............................             2.6             2.5
    FY 2028.............................             2.5             2.4

[[Page 18252]]

 
    Average FYs 2025-2028...............             2.6             2.5
------------------------------------------------------------------------
Source: IHS Global, Inc., 4th quarter 2024 forecast.

    IHS Global, Inc. forecasts a 2.6 percent increase in the proposed 
2023-based CIPI for FY 2026, as shown in Table IV-11. The underlying 
vintage-weighted price increases for depreciation (including building 
and fixed equipment and movable equipment) and interest (including 
government/nonprofit and for-profit) based on the proposed 2023-based 
CIPI are included in Table IV-12.

 Table IV-12--Proposed 2023-Based Capital Input Price Index Percent Changes, Total and Depreciation and Interest
                                        Components--FYs 2021 Through 2028
----------------------------------------------------------------------------------------------------------------
                          Fiscal year                                Total        Depreciation       Interest
----------------------------------------------------------------------------------------------------------------
Historical Data:
    FY 2021...................................................             0.8               1.8            -3.7
    FY 2022...................................................             1.8               2.7            -2.8
    FY 2023...................................................             2.8               3.3            -1.5
    FY 2024...................................................             2.7               3.3            -1.1
Forecast:
    FY 2025...................................................             2.6               3.2            -0.8
    FY 2026...................................................             2.6               3.2            -0.8
    FY 2027...................................................             2.5               3.1            -1.0
    FY 2028...................................................             2.4               3.0            -1.2
----------------------------------------------------------------------------------------------------------------
Source: IHS Global, Inc., 4th quarter 2024 forecast.

    The FY 2026 percentage increase based on the proposed 2023-based 
CIPI is 0.1 percentage point lower than the increase based on the 2018-
based CIPI when rounded, as shown in Table IV-11. Rebasing the CIPI 
from 2018 to 2023 and updating the base year cost weights lowered the 
FY 2026 update by approximately 0.1 percentage point, which was 
partially offset by the incorporation of the 2023-based vintage 
weights.

V. Payment Adjustment for Medicare Disproportionate Share Hospitals 
(DSHs) for FY 2026 (Sec.  412.106)

A. General Discussion

    Section 1886(d)(5)(F) of the Act provides for additional Medicare 
payments to subsection (d) hospitals \211\ that serve a significantly 
disproportionate number of low-income patients. The Act specifies two 
methods by which a hospital may qualify for the Medicare 
disproportionate share hospital (DSH) adjustment. Under the first 
method, hospitals that are located in an urban area and have 100 or 
more beds may receive a Medicare DSH payment adjustment if the hospital 
can demonstrate that, during its cost reporting period, more than 30 
percent of its net inpatient care revenues are derived from State and 
local government payments for care furnished to patients with low 
incomes. This method is commonly referred to as the ``Pickle method.'' 
The second method for qualifying for the DSH payment adjustment, which 
is the more commonly used method, is based on the hospital's 
disproportionate patient percentage (DPP), described below, under which 
the DSH payment adjustment is based a complex statutory formula which 
includes the hospital's geographic designation, the number of beds in 
the hospital, and the level of the hospital's DPP.
---------------------------------------------------------------------------

    \211\ See section 1886(d)(1)(B) of the Act for the definition of 
a ``subsection (d) hospital''.
---------------------------------------------------------------------------

    A hospital's DPP is the sum of two fractions: the ``Medicare 
fraction'' and the ``Medicaid fraction.'' The Medicare fraction (also 
known as the ``SSI fraction'' or ``SSI ratio'') is computed by dividing 
the number of the hospital's inpatient days that are furnished to 
patients who were entitled to both Medicare Part A and Supplemental 
Security Income (SSI) benefits by the hospital's total number of 
patient days furnished to patients entitled to benefits under Medicare 
Part A. The Medicaid fraction is computed by dividing the hospital's 
number of inpatient days furnished to patients who, for such days, were 
eligible for Medicaid, but were not entitled to benefits under Medicare 
Part A, by the hospital's total number of inpatient days in the same 
period.

------------------------------------------------------------------------
       DSH eligibility                    Qualifying criteria
------------------------------------------------------------------------
Statutory Formula............  A hospital that has a disproportionate
                                patient percentage equal to or exceeding
                                15 percent may qualify for the Medicare
                                DSH adjustment. We refer readers to 42
                                CFR 412.106 for the specific eligibility
                                criteria and payment formulas.

[[Page 18253]]

 
``Pickle Method''............  A hospital that is located in an urban
                                area and has 100 or more beds may
                                qualify to receive a Medicare DSH
                                payment adjustment if the hospital can
                                demonstrate that, during its cost
                                reporting period, more than 30 percent
                                of its net inpatient care revenues are
                                derived from State and local government
                                payments for care furnished to patients
                                with low incomes.
------------------------------------------------------------------------

    Because the DSH payment adjustment is part of the IPPS, the 
statutory references to ``days'' in section 1886(d)(5)(F) of the Act 
have been interpreted to apply only to hospital acute care inpatient 
days. Regulations located at 42 CFR 412.106 govern the Medicare DSH 
payment adjustment and specify how the DPP is calculated as well as how 
beds and patient days are counted in determining the Medicare DSH 
payment adjustment. Under Sec.  412.106(a)(1)(i), the number of beds 
for the Medicare DSH payment adjustment is determined in accordance 
with bed counting rules for the IME adjustment under Sec.  412.105(b).
    Section 3133 of the Patient Protection and Affordable Care Act 
(Pub. L. 111-148), as amended by section 10316 of the same Act and 
section 1104 of the Health Care and Education Reconciliation Act (Pub. 
L. 111-152), added a section 1886(r) to the Act that modifies the 
methodology for computing the Medicare DSH payment adjustment. We refer 
to these provisions collectively as section 3133 of the Affordable Care 
Act. Beginning with discharges in FY 2014, hospitals that qualify for 
Medicare DSH payments under section 1886(d)(5)(F) of the Act receive 25 
percent of the amount they previously would have received under the 
statutory formula for Medicare DSH payments. This provision applies 
equally to hospitals that qualify for DSH payments on the basis of the 
hospital's DPP under section 1886(d)(5)(F)(i)(I) of the Act and those 
hospitals that qualify under the Pickle method under section 
1886(d)(5)(F)(i)(II) of the Act.
    The remaining amount, equal to an estimate of 75 percent of what 
otherwise would have been paid as Medicare DSH payments, reduced to 
reflect changes in the percentage of individuals who are uninsured, is 
available to make additional payments to each hospital that qualifies 
for Medicare DSH payments and that has uncompensated care. The payments 
to each hospital for a fiscal year are based on the hospital's amount 
of uncompensated care for a given time period relative to the total 
amount of uncompensated care for that same time period reported by all 
hospitals that receive Medicare DSH payments for that fiscal year.
    Since FY 2014, section 1886(r) of the Act has required that 
hospitals that are eligible for DSH payments under section 
1886(d)(5)(F) of the Act receive 2 separately calculated payments:

Medicare DSH Payment: An empirically justified DSH payment equal to 25% 
of the amount determined under the statutory formula in section 
1886(d)(5)(F) of the Act.
Medicare DSH Uncompensated Care Payment: An uncompensated care payment 
determined as the product of 3 factors, as discussed in this section.

    Specifically, section 1886(r)(1) of the Act provides that the 
Secretary shall pay to such subsection (d) hospital 25 percent of the 
amount the hospital would have received under section 1886(d)(5)(F) of 
the Act for DSH payments, which represents the empirically justified 
amount for such payment, as determined by the MedPAC in its March 2007 
Report to Congress.\212\ We refer to this payment as the ``empirically 
justified Medicare DSH payment.''
---------------------------------------------------------------------------

    \212\ https://www.medpac.gov/document/march-2007-report-to-the-congress-medicare-payment-policy/.
---------------------------------------------------------------------------

    In addition to this empirically justified Medicare DSH payment, 
section 1886(r)(2) of the Act provides that, for FY 2014 and each 
subsequent fiscal year, the Secretary shall pay to such subsection (d) 
hospitals an additional amount equal to the product of three factors. 
The first factor is the difference between the aggregate amount of 
payments that would be made to subsection (d) hospitals under section 
1886(d)(5)(F) of the Act if subsection (r) did not apply and the 
aggregate amount of payments that are made to subsection (d) hospitals 
under section 1886(r)(1) of the Act for such fiscal year. In other 
words, the first factor of the uncompensated care payment calculation 
is 75 percent of the payments that would otherwise be made as Medicare 
DSH payments under section 1886(d)(5)(F) of the Act.
    The second factor is, for FY 2018 and subsequent fiscal years, 1 
minus the percent change in the percent of individuals who are 
uninsured, as determined by comparing the percent of individuals who 
were uninsured in 2013 (as estimated by the Secretary, based on data 
from the Census Bureau or other sources the Secretary determines 
appropriate, and certified by the Chief Actuary of CMS) and the percent 
of individuals who were uninsured in the most recent period for which 
data are available (as so estimated and certified). As discussed in a 
later section, we note that the second factor is computed based on 
estimates of the total U.S population.
    The third factor is a percent that, for each subsection (d) 
hospital, represents the quotient of the amount of uncompensated care 
for such hospital for a period selected by the Secretary (as estimated 
by the Secretary, based on appropriate data), including the use of 
alternative data where the Secretary determines that alternative data 
are available which are a better proxy for the costs of subsection (d) 
hospitals for treating the uninsured, and the aggregate amount of 
uncompensated care for all subsection (d) hospitals that receive a 
payment under section 1886(r) of the Act. Therefore, this third factor 
represents a hospital's uncompensated care amount for a given time 
period relative to the uncompensated care amount for that same time 
period for all hospitals that receive Medicare DSH payments in the 
applicable fiscal year, expressed as a percent.
    For each hospital, the product of these three factors represents 
its additional payment for uncompensated care for the applicable fiscal 
year. We refer to the additional payment determined by these factors as 
the ``uncompensated care payment.'' In brief, the uncompensated care 
payment for an individual hospital is determined as the product of the 
following 3 factors:

Factor 1: 75% of the total amount of DSH payments that would otherwise 
be made under section 1886(d)(5)(F) of the Act.
Factor 2: 1 minus the percent change in the percent of individuals who 
are uninsured.
Factor 3: The hospital's uncompensated care amount relative to the 
uncompensated care amount for all hospitals that receive DSH payments, 
expressed as a percentage.

    Section 1886(r) of the Act applies to FY 2014 and each subsequent 
fiscal year. In the FY 2014 IPPS/LTCH PPS final rule (78 FR 50620 
through 50647) and the FY 2014 IPPS interim final rule with comment 
period (78 FR 61191 through 61197), we set forth our policies

[[Page 18254]]

for implementing the required changes to the Medicare DSH payment 
methodology made by section 3133 of the Affordable Care Act for FY 
2014. In those rules, we noted that, because section 1886(r) of the Act 
modifies the payment required under section 1886(d)(5)(F) of the Act, 
it affects only the DSH payment under the operating IPPS. It does not 
revise or replace the capital IPPS DSH payment provided under the 
regulations at 42 CFR part 412, subpart M, which was established 
through the exercise of the Secretary's discretion in implementing the 
capital IPPS under section 1886(g)(1)(A) of the Act.
    Finally, section 1886(r)(3) of the Act provides that there shall be 
no administrative or judicial review under section 1869, section 1878, 
or otherwise of any estimate of the Secretary for purposes of 
determining the factors described in section 1886(r)(2) of the Act or 
of any period selected by the Secretary for the purpose of determining 
those factors. Therefore, there is no administrative or judicial review 
of the estimates developed for purposes of applying the three factors 
used to determine uncompensated care payments, or of the periods 
selected to develop such estimates.

B. Eligibility for Empirically Justified Medicare DSH Payments and 
Uncompensated Care Payments

    The payment methodology under section 3133 of the Affordable Care 
Act applies to ``subsection (d) hospitals'' that would otherwise 
receive a DSH payment made under section 1886(d)(5)(F) of the Act. 
Therefore, hospitals must receive empirically justified Medicare DSH 
payments in a fiscal year to receive an additional Medicare 
uncompensated care payment for that year. Specifically, section 
1886(r)(2) of the Act states that, in addition to the empirically 
justified Medicare DSH payment made to a subsection (d) hospital under 
section 1886(r)(1) of the Act, the Secretary shall pay to ``such 
subsection (d) hospitals'' the uncompensated care payment. Section 
1886(r)(2)'s reference to ``such subsection (d) hospitals'' refers to 
hospitals that receive empirically justified Medicare DSH payments 
under section 1886(r)(1) for the applicable fiscal year.
    In the FY 2014 IPPS/LTCH PPS final rule (78 FR 50622) and the FY 
2014 IPPS interim final rule with comment period (78 FR 61193), we 
explained that hospitals that are not eligible to receive empirically 
justified Medicare DSH payments in a fiscal year will not receive 
uncompensated care payments for that year. We also specified that we 
would make a determination concerning eligibility for interim 
uncompensated care payments based on each hospital's estimated DSH 
status (that is, eligibility to receive empirically justified Medicare 
DSH payments) for the applicable fiscal year (using the most recent 
data that are available). For this proposed rule, we estimated DSH 
status for all hospitals using the most recent available SSI ratios and 
information from the most recent available Provider Specific File. We 
note that FY 2021 SSI ratios available on the CMS website were the most 
recent available SSI ratios at the time of developing this proposed 
rule.\213\ If more recent data on DSH eligibility becomes available 
before the final rule, we would use such data in the final rule.
---------------------------------------------------------------------------

    \213\ https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/dsh.
---------------------------------------------------------------------------

    Our final determinations of a hospital's eligibility for 
uncompensated care and empirically justified Medicare DSH payments will 
be based on the hospital's actual DSH status at cost report settlement 
for FY 2026.
    In the FY 2014 IPPS/LTCH PPS final rule (78 FR 50622) and in the 
rulemakings for subsequent fiscal years, we have specified our policies 
for several specific classes of hospitals within the scope of section 
1886(r) of the Act. Eligible hospitals include the following:
     Subsection (d) Puerto Rico hospitals that are eligible for 
DSH payments also are eligible to receive empirically justified 
Medicare DSH payments and uncompensated care payments under section 
1886(r) of the Act (78 FR 50623 and 79 FR 50006).
     Sole community hospitals (SCHs) that are paid under the 
IPPS Federal rate receive interim payments based on what we estimate 
and project their DSH status to be prior to the beginning of the fiscal 
year (based on the best available data at that time) subject to 
settlement through the cost report. If they receive interim empirically 
justified Medicare DSH payments in a fiscal year, they will also be 
eligible to receive interim uncompensated care payments for that fiscal 
year on a per discharge basis. Final eligibility determinations will be 
made at the end of the cost reporting period at settlement, and both 
interim empirically justified Medicare DSH payments and uncompensated 
care payments will be adjusted accordingly (78 FR 50624 and 79 FR 
50007).
     Medicare-dependent, small rural hospitals (MDHs) are paid 
based on the IPPS Federal rate or, if higher, the IPPS Federal rate 
plus 75 percent of the amount by which the Federal rate is exceeded by 
the updated hospital-specific rate from certain specified base years 
(76 FR 51684). The IPPS Federal rate that is used in the MDH payment 
methodology is the same IPPS Federal rate that is used in the SCH 
payment methodology. Because MDHs are paid based on the IPPS Federal 
rate, they continue to be eligible to receive empirically justified 
Medicare DSH payments and uncompensated care payments if their DPP is 
at least 15 percent, and we apply the same process to determine MDHs' 
eligibility for interim empirically justified Medicare DSH and interim 
uncompensated care payments as we do for all other IPPS hospitals. 
Recently enacted legislation has extended the MDH program through 
September 30, 2025. We refer readers to section V.F. of the preamble of 
this proposed rule for further discussion of the MDH program. We will 
continue to make a determination concerning an MDH's eligibility for 
interim empirically justified Medicare DSH and uncompensated care 
payments based on the hospital's estimated DSH status for the 
applicable fiscal year.
     IPPS hospitals that elect to participate in the Bundled 
Payments for Care Improvement Advanced (BPCI Advanced) model, will 
continue to be paid under the IPPS and, therefore, are eligible to 
receive empirically justified Medicare DSH payments and uncompensated 
care payments until the Model's final performance year, which ends on 
December 31, 2025. For further information regarding the BPCI Advanced 
model, we refer readers to the CMS website at https://innovation.cms.gov/innovation-models/bpci-advanced.
     Transforming Episode Accountability Model (TEAM) is a new 
episode-based payment model. Hospitals participating in TEAM would 
continue to be paid under the IPPS and, therefore, are eligible to 
receive empirically justified Medicare DSH payments and uncompensated 
care payments. The model's start date is January 1, 2026.
    Ineligible hospitals include the following:
     Maryland hospitals are not eligible to receive empirically 
justified Medicare DSH payments and uncompensated care payments under 
the payment methodology of section 1866(r) of the Act because they are 
not paid under the IPPS. As discussed in the FY 2019 IPPS/LTCH PPS 
final rule (83 FR 41402 through 41403), CMS and the State have entered 
into an agreement to govern payments to Maryland hospitals under a new 
payment model, the Maryland

[[Page 18255]]

Total Cost of Care (TCOC) Model, which began on January 1, 2019. Under 
the Maryland TCOC Model, which concludes on December 31, 2026, Maryland 
hospitals are not paid under the IPPS and are ineligible to receive 
empirically justified Medicare DSH payments and uncompensated care 
payments under section 1886(r) of the Act.
     SCHs that are paid under their hospital-specific rate are 
not eligible for Medicare DSH and uncompensated care payments (78 FR 
50623 and 50624).
     Hospitals participating in the Rural Community Hospital 
Demonstration Program are not eligible to receive empirically justified 
Medicare DSH payments and uncompensated care payments under section 
1886(r) of the Act because they are not paid under the IPPS (78 FR 
50625 and 79 FR 50008). The Rural Community Hospital Demonstration 
Program was originally authorized for a 5-year period by section 410A 
of the Medicare Prescription Drug, Improvement, and Modernization Act 
of 2003 (MMA) (Pub. L. 108-173).\214\ The period of participation for 
the last hospital in the demonstration under this most recent 
legislative authorization will end on June 30, 2028. Under the payment 
methodology that applies during this most recent extension of the 
demonstration program, participating hospitals do not receive 
empirically justified Medicare DSH payments, and they are excluded from 
receiving interim and final uncompensated care payments. At the time of 
development of this proposed rule, we believe 16 hospitals may 
participate in the demonstration program at the start of FY 2026. We 
note that if at the time of developing the final rule there is a 
different number of hospitals projected to participate in the 
demonstration program during FY 2026, we would use updated information 
in the FY 2026 final rule.
---------------------------------------------------------------------------

    \214\ The Rural Community Hospital Demonstration Program was 
extended for a subsequent 5-year period by sections 3123 and 10313 
of the Affordable Care Act (Pub. L. 111-148). The period of 
performance for this 5-year extension period ended on December 31, 
2016. Section 15003 of the 21st Century Cures Act (Pub. L. 114-255), 
enacted on December 13, 2016, again amended section 410A of Public 
Law 108-173 to require a 10-year extension period (in place of the 
5-year extension required by the Affordable Care Act), therefore 
requiring an additional 5-year participation period for the 
demonstration program. Section 15003 of Public Law 114-255 also 
required a solicitation for applications for additional hospitals to 
participate in the demonstration program. The period of performance 
for this 5-year extension period ended December 31, 2021. The 
Consolidated Appropriations Act, 2021 (Pub. L. 116-260) amended 
section 410A of Public Law 108-173 to extend the demonstration 
program for an additional 5-year period.
---------------------------------------------------------------------------

C. Empirically Justified Medicare DSH Payments

    As we have discussed earlier, section 1886(r)(1) of the Act 
requires the Secretary to pay 25 percent of the amount of the Medicare 
DSH payment that would otherwise be made under section 1886(d)(5)(F) of 
the Act to a subsection (d) hospital. Because section 1886(r)(1) of the 
Act merely requires the Secretary to pay a designated percentage of 
these payments, without revising the criteria governing eligibility for 
DSH payments or the underlying payment methodology, we stated in the FY 
2014 IPPS/LTCH PPS final rule that we did not believe that it was 
necessary to develop any new operational mechanisms for making such 
payments.
    Therefore, in the FY 2014 IPPS/LTCH PPS final rule (78 FR 50626), 
we implemented this provision by advising Medicare Administrative 
Contractors (MACs) to simply adjust subsection (d) hospitals' interim 
claim payments to an amount equal to 25 percent of what would have been 
paid if section 1886(r) of the Act did not apply. We also made 
corresponding changes to the hospital cost report so that these 
empirically justified Medicare DSH payments could be settled at the 
appropriate level at the time of cost report settlement. We provided 
more detailed operational instructions and cost report instructions 
following issuance of the FY 2014 IPPS/LTCH PPS final rule that are 
available on the CMS website at https://www.cms.gov/Regulations-and-Guidance/Guidance/Transmittals/2014-Transmittals-Items/R5P240.html.

D. Supplemental Payment for Indian Health Service (IHS) and Tribal 
Hospitals and Puerto Rico Hospitals

    In the FY 2023 IPPS/LTCH PPS final rule (87 FR 49047 through 
49051), we established a new supplemental payment for IHS/Tribal 
hospitals and hospitals located in Puerto Rico for FY 2023 and 
subsequent fiscal years. This payment was established to help to 
mitigate the impact of the decision to discontinue the use of low-
income insured days as a proxy for uncompensated care costs for these 
hospitals and to prevent undue long-term financial disruption for these 
providers. The regulations located at 42 CFR 412.106(h) govern the 
supplemental payment. In brief, the supplemental payment for a fiscal 
year is determined as the difference between the hospital's base year 
amount and its uncompensated care payment for the applicable fiscal 
year as determined under Sec.  412.106(g)(1). The base year amount is 
the hospital's FY 2022 uncompensated care payment adjusted by one plus 
the percent change in the total uncompensated care amount between the 
applicable fiscal year (that is, FY 2026 for purposes of this 
rulemaking) and FY 2022, where the total uncompensated care amount for 
a fiscal year is determined as the product of Factor 1 and Factor 2 for 
that year. If the base year amount is equal to or lower than the 
hospital's uncompensated care payment for the current fiscal year, then 
the hospital would not receive a supplemental payment because the 
hospital would not be experiencing financial disruption in that year as 
a result of the use of uncompensated care data from the Worksheet S-10 
in determining Factor 3 of the uncompensated care payment methodology.
    For FY 2026, we are not proposing any changes to the methodology 
for determining supplemental payments and we will calculate the 
supplemental payments to eligible IHS/Tribal and Puerto Rico hospitals 
consistent with the methodology described in the FY 2023 IPPS/LTCH PPS 
final rule (87 FR 49047 through 49051) and Sec.  412.106(h).
    As discussed in the FY 2023 IPPS/LTCH PPS final rule (87 FR 49048 
and 49049), the eligibility and payment processes for the supplemental 
payment are consistent with the processes for determining eligibility 
to receive interim and final uncompensated care payments adopted in FY 
2014 IPPS/LTCH PPS final rule. We note that the MAC will make a final 
determination with respect to a hospital's eligibility to receive the 
supplemental payment for a fiscal year, in conjunction with its final 
determination of the hospital's eligibility for DSH payments and 
uncompensated care payments for that fiscal year.

E. Uncompensated Care Payments

    As we discussed earlier, section 1886(r)(2) of the Act provides 
that, for each eligible hospital in FY 2014 and subsequent years, the 
uncompensated care payment is the product of three factors, which are 
discussed in the next sections.
1. Proposed Calculation of Factor 1 for FY 2026
    Section 1886(r)(2)(A) of the Act establishes Factor 1 in the 
calculation of the uncompensated care payment. The regulations located 
at 42 CFR 412.106(g)(1)(i) govern the Factor 1 calculation. Under a 
prospective payment system, we would not know the precise aggregate 
Medicare DSH

[[Page 18256]]

payment amounts that would be paid for a fiscal year until cost report 
settlement for all IPPS hospitals is completed, which occurs several 
years after the end of the fiscal year. Therefore, section 
1886(r)(2)(A)(i) of the Act provides authority to estimate this amount 
by specifying that, for each fiscal year to which the provision 
applies, such amount is to be estimated by the Secretary. Similarly, we 
would not know the precise aggregate empirically justified Medicare DSH 
payment amounts that would be paid for a fiscal year until cost report 
settlement for all IPPS hospitals is completed. Thus, section 
1886(r)(2)(A)(ii) of the Act provides authority to estimate this 
amount. In brief, Factor 1 is the difference between the Secretary's 
estimates of: (1) the amount that would have been paid in Medicare DSH 
payments for the fiscal year, in the absence of section 1886(r) of the 
Act; and (2) the amount of empirically justified Medicare DSH payments 
that are made for the fiscal year, which takes into account the 
requirement to pay 25 percent of what would have otherwise been paid 
under section 1886(d)(5)(F) of the Act.
    In this FY 2026 IPPS/LTCH PPS proposed rule consistent with the 
policy that has applied since the FY 2014 final rule (78 FR 50627 
through 50631), we are determining Factor 1 from the most recently 
available estimates of the aggregate amount of Medicare DSH payments 
that would be made for FY 2026 in the absence of section 1886(r)(1) of 
the Act and the aggregate amount of empirically justified Medicare DSH 
payments that would be made for FY 2026, both as calculated by CMS' 
Office of the Actuary (OACT). Consistent with the policy that has 
applied in previous years, these estimates will not be revised or 
updated subsequent to publication of our final projections in the FY 
2026 IPPS/LTCH PPS final rule.
    For this proposed rule, to calculate both estimates, we used the 
most recently available projections of Medicare DSH payments for the 
fiscal year, as calculated by OACT using the most recently filed 
Medicare hospital cost reports with Medicare DSH payment information 
and the most recent DPPs and Medicare DSH payment adjustments provided 
in the IPPS Impact File. The projection of Medicare DSH payments for 
the fiscal year is also partially based on OACT's Part A benefits 
projection model, which projects, among other things, inpatient 
hospital spending. Projections of DSH payments additionally require 
projections of expected increases in utilization and case-mix. The 
assumptions that were used in making these inpatient hospital spending, 
utilization, and case-mix projections and the resulting estimates of 
DSH payments for FY 2023 through FY 2026 are discussed later in this 
section and in the table titled ``Factors Applied for FY 2023 through 
FY 2026 to Estimate Medicare DSH Expenditures Using FY 2022 Baseline.''
    For purposes of calculating Factor 1 and modeling the impact of 
this FY 2026 IPPS/LTCH PPS proposed rule, we used OACT's January 2025 
Medicare DSH estimates, which were based on data from the December 2024 
update of the Medicare Hospital Cost Report Information System (HCRIS) 
and the FY 2025 IPPS/LTCH PPS final rule IPPS Impact File, published in 
conjunction with the publication of the FY 2025 IPPS/LTCH PPS final 
rule. Because SCHs that are projected to be paid under their hospital-
specific rate are ineligible for empirically justified Medicare DSH 
payments and uncompensated care payments, they were excluded from the 
January 2025 Medicare DSH estimates. Because Maryland hospitals are not 
paid under the IPPS, they are also ineligible for empirically justified 
Medicare DSH payments and uncompensated care payments and were also 
excluded from OACT's January 2025 Medicare DSH estimates.
    The 16 hospitals that CMS expects will participate in the Rural 
Community Hospital Demonstration Program in FY 2026 were also excluded 
from OACT's January 2025 Medicare DSH estimates because under the 
payment methodology that applies during the demonstration, these 
hospitals are not eligible to receive empirically justified Medicare 
DSH payments or uncompensated care payments.
    For this proposed rule, using the data sources previously 
discussed, OACT's January 2025 estimates of Medicare DSH payments for 
FY 2026 without regard to the application of section 1886(r)(1) of the 
Act is approximately $15.682 billion. Therefore, also based on OACT's 
January 2025 Medicare DSH estimates, the estimate of empirically 
justified Medicare DSH payments for FY 2026, with the application of 
section 1886(r)(1) of the Act, is approximately $3.92 billion (or 25 
percent of the total amount of estimated Medicare DSH payments for FY 
2026). Under Sec.  412.106(g)(1)(i), Factor 1 is the difference between 
these two OACT estimates. Therefore, in this proposed rule, we are 
determining that Factor 1 for FY 2026 would be $11.761 billion, which 
is equal to 75 percent of the total amount of estimated Medicare DSH 
payments for FY 2026 ($15.682 billion minus $3.92 billion). We note 
that consistent with our approach in previous rulemakings, OACT intends 
to use more recent data that may become available for purposes of 
projecting the final Factor 1 estimates for the FY 2026 IPPS/LTCH PPS 
final rule.
    We note that the Factor 1 estimates for IPPS/LTCH PPS proposed 
rules are generally consistent with the economic assumptions and 
actuarial analysis used to develop the President's Budget estimates 
under current law, and Factor 1 estimates for IPPS/LTCH PPS final rules 
are generally consistent with those used for the Midsession Review of 
the President's Budget.\215\ Consistent with historical practice, we 
expect the Midsession Review will have updated economic assumptions and 
actuarial analysis, which will be used for the development of Factor 1 
estimates in the FY 2026 IPPS/LTCH PPS final rule.
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    \215\ As we have in the past, for additional information on the 
development of the President's Budget, we refer readers to the 
Office of Management and Budget website at https://www.whitehouse.gov/omb/budget.
---------------------------------------------------------------------------

    For a general overview of the principal steps involved in 
projecting future inpatient costs and utilization, we refer readers to 
the ``2024 Annual Report of the Boards of Trustees of the Federal 
Hospital Insurance and Federal Supplementary Medical Insurance Trust 
Funds,'' available on the CMS website at https://www.cms.gov/oact/tr/2024.\216\ The actuarial projections contained in these reports are 
based on numerous assumptions regarding future trends in program 
enrollment, utilization and costs of health care services covered by 
Medicare, as well as other factors affecting program expenditures. In 
addition, although the methods used to estimate future costs based on 
these assumptions are complex, they are subject to periodic review by 
independent experts to ensure their validity and reasonableness.
---------------------------------------------------------------------------

    \216\ We note that the annual reports of the Medicare Boards of 
Trustees to Congress represent the Federal Government's official 
evaluation of the financial status of the Medicare Program.
---------------------------------------------------------------------------

    In this proposed rule, we include information regarding the data 
sources, methods, and assumptions employed by OACT's actuaries in 
determining our estimate of Factor 1. In summary, we indicate the 
historical HCRIS data update OACT used to estimate Medicare DSH 
payments; we explain that the most recent Medicare DSH payment 
adjustments provided in the IPPS Impact File were used, and we provide 
the components of all the update factors that were applied to the 
historical data to estimate the Medicare DSH payments for the upcoming 
fiscal year, along with

[[Page 18257]]

the associated rationale and assumptions. The discussion also includes 
descriptions of the ``Other'' and ``Discharges'' assumptions.
    OACT's estimates for FY 2026 for this proposed rule began with a 
baseline of $13.018 billion in Medicare DSH expenditures for FY 2022. 
The following table shows the factors applied to update this baseline 
through the current estimate for FY 2026:

                        Factors Applied for FY 2023 Through FY 2026 To Estimate Medicare DSH Expenditures Using FY 2022 Baseline
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                      IPPS hospital                                                      Estimated DSH
                                FY                                    market basket    Discharges     Case-mix     Other      Total       payment (in
                                                                      update factor                                                       billions) *
--------------------------------------------------------------------------------------------------------------------------------------------------------
2023..............................................................             1.043         0.994        0.990     1.0504     1.0784             14.038
2024..............................................................             1.031         0.998        0.997     1.0310     1.0573             14.842
2025..............................................................             1.029         0.991        1.005     0.9976     1.0228             15.180
2026 **...........................................................             1.024         0.999        1.005     1.0048     1.0331             15.682
--------------------------------------------------------------------------------------------------------------------------------------------------------
* Rounded.
** The FY 2026 figures reflect the proposed inpatient hospital market basket percentage increase and productivity adjustment and are based on the 4th
  quarter 2024 IHS Global Inc. (IGI) forecast, the most recent forecast available at the time of development of this proposed rule.

    In this table, the discharges column shows the changes in the 
number of Medicare FFS inpatient hospital discharges. The discharge 
figures for FY 2023 and FY 2024 are based on Medicare claims data that 
have been adjusted by a completion factor to account for incomplete 
claims data. The discharge figures for FY 2025 and FY 2026 are 
assumptions based on recent historical experience and assumptions 
related to how many beneficiaries will be enrolled in MA plans.
    The case-mix column shows the estimated change in case-mix for IPPS 
hospitals. The case-mix figures for FY 2023 and FY 2024 are based on 
actual claims data adjusted by a completion factor to account for 
incomplete claims data. The case-mix figures for FY 2025 and for FY 
2026 are assumptions based on the 2012 ``Review of Assumptions and 
Methods of the Medicare Trustees' Financial Projections'' report by the 
2010-2011 Medicare Technical Review Panel.\217\
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    \217\ https://www.cms.gov/research-statistics-data-and-systems/statistics-trends-and-reports/reportstrustfunds/downloads/technicalpanelreport2010-2011.pdf.
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    The ``Other'' column reflects the change in other factors that 
contribute to the Medicare DSH estimates. These factors include the 
difference between the total inpatient hospital discharges and IPPS 
discharges and various adjustments to the payment rates that have been 
included over the years but are not reflected in the other columns. In 
addition, the ``Other'' column includes a factor for the estimated 
changes in Medicaid enrollment through FY 2023.
    The following table shows the factors that are included in the 
``IPPS Hospital Market Basket Update Factor'' column of the previous 
table:

----------------------------------------------------------------------------------------------------------------
                                           IPPS hospital market
                   FY                       basket percentage     Productivity    Documentation    Total update
                                                 increase          adjustment       and coding      percentage
----------------------------------------------------------------------------------------------------------------
2023....................................                    4.1             0.3              0.5             4.3
2024....................................                    3.3             0.2              0.0             3.1
2025....................................                    3.4             0.5              0.0             2.9
2026....................................                    3.2             0.8              0.0             2.4
----------------------------------------------------------------------------------------------------------------
Note: All figures in this table are the final inpatient hospital updates for the applicable fiscal year, except
  for the FY 2026 figures. The FY 2026 figures reflect the proposed inpatient hospital market basket percentage
  increase and productivity adjustment and are based on the 4th quarter 2024 IGI forecast, the most recent
  forecast available at the time of development of this proposed rule. We refer readers to section V.B. of the
  preamble of this proposed rule for a complete discussion of the inpatient hospital market basket update for FY
  2026.

    We are inviting public comments on our proposed Factor 1 for FY 
2026.

IV. Proposed Payment Adjustment for Medicare Disproportionate Share 
Hospitals (DSHs) for FY 2026 (Sec.  412.106)

2. Calculation of Proposed Factor 2 for FY 2026
a. Background
    Section 1886(r)(2)(B) of the Act establishes Factor 2 in the 
calculation of the uncompensated care payment. Section 
1886(r)(2)(B)(ii) of the Act provides that, for FY 2018 and subsequent 
fiscal years, the second factor is 1 minus the percent change in the 
percent of individuals who are uninsured, as determined by comparing 
the percent of individuals who were uninsured in 2013 (as estimated by 
the Secretary, based on data from the Census Bureau or other sources 
the Secretary determines appropriate, and certified by the Chief 
Actuary of CMS) and the percent of individuals who were uninsured in 
the most recent period for which data are available (as so estimated 
and certified).
    We are continuing to use the methodology that was used in FY 2018 
through FY 2025 to determine Factor 2 for FY 2026--to use the National 
Health Expenditure Accounts (NHEA) data to determine the percent change 
in the percent of individuals who are uninsured. We refer readers to 
the FY 2018 IPPS/LTCH PPS final rule (82 FR 38197 and 38198) for a 
complete discussion of the NHEA and why we determined, and continue to 
believe, that it is the data source for the rate of uninsurance that, 
on balance, best meets all our considerations and is consistent with 
the statutory requirement that the estimate of the rate of uninsurance 
be based on data from the Census Bureau or other sources the Secretary 
determines appropriate.

[[Page 18258]]

    In brief, the NHEA represents the government's official estimates 
of economic activity (spending) within the health sector. The NHEA 
includes comprehensive enrollment estimates for total private health 
insurance (PHI) (including direct-purchase and employer-sponsored 
plans), Medicare, Medicaid, the Children's Health Insurance Program 
(CHIP), and other public programs, and estimates of the number of 
individuals who are uninsured. The NHEA data are publicly available on 
the CMS website at https://www.cms.gov/Research-Statistics-Data-and-Systems/Statistics-Trends-and-Reports/NationalHealthExpendData/index.html.
    To compute Factor 2 for FY 2026, the first metric that is needed is 
the proportion of the total U.S. population that was uninsured in 2013. 
For a complete discussion of the approach OACT used to prepare the 
NHEA's estimate of the rate of uninsurance in 2013, including the data 
sources used, we refer readers to the FY 2024 IPPS/LTCH PPS final rule 
(88 FR 58998-58999).
    The next metrics needed to compute Factor 2 for FY 2026 are 
projections of the rate of uninsurance in both CY 2025 and CY 2026 for 
the total U.S. population. On an annual basis, OACT projects enrollment 
and spending trends for the coming 10-year period. The most recent 
projections are for 2023 through 2032 and were published on June 12, 
2024. Those projections used the latest NHEA historical data that were 
available at the time of their construction (that is, historical data 
through 2022). The NHEA projection methodology accounts for expected 
changes in enrollment across all of the categories of insurance 
coverage previously listed. For a complete discussion of how the NHEA 
data account for expected changes in enrollment across all the 
categories of insurance coverage previously listed, we refer readers to 
the FY 2024 IPPS/LTCH PPS final rule (88 FR 58999).
b. Proposed Factor 2 for FY 2026
    Using these data sources and the previously described 
methodologies, at the time of developing this proposed rule, OACT has 
estimated that the uninsured rate for the historical, baseline year of 
2013 was 14 percent, and that the uninsured rates for CYs 2025 and 2026 
were 7.7 percent and 8.7 percent, respectively. As required by section 
1886(r)(2)(B)(ii) of the Act, the Chief Actuary of CMS certified these 
estimates. We refer readers to OACT's Memorandum on Certification of 
Rates of Uninsured prepared for this FY 2026 IPPS/LTCH PPS proposed 
rule for further details on the methodology and assumptions that were 
used in the projection of these rates of uninsurance.\218\
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    \218\ https://www.cms.gov/files/document/certification-rates-uninsured-2026-proposed-rule.pdf.
---------------------------------------------------------------------------

    As with the CBO estimates on which we based Factor 2 for fiscal 
years before FY 2018, the NHEA estimates are for a calendar year. Under 
the approach originally adopted in the FY 2014 IPPS/LTCH PPS final 
rule, we use a weighted average approach to project the rate of 
uninsurance for each fiscal year. We continue to believe that, in order 
to estimate the rate of uninsurance during a fiscal year accurately, 
Factor 2 should reflect the estimated rate of uninsurance that 
hospitals will experience during the fiscal year, rather than the rate 
of uninsurance during only one of the calendar years that the fiscal 
year spans. Accordingly, in this FY 2026 IPPS/LTCH PPS proposed rule, 
we are continuing to apply the weighted average approach used in past 
fiscal years to estimate this proposed rule's rate of uninsurance for 
FY 2026.
    OACT certified the estimate of the rate of uninsurance for FY 2026 
determined using this weighted average approach to be reasonable and 
appropriate for purposes of section 1886(r)(2)(B)(ii) of the Act. We 
note that we may also consider the use of more recent data that may 
become available for purposes of estimating the rates of uninsurance 
used in the calculation of the final Factor 2 for FY 2026. The 
calculation of the proposed Factor 2 for FY 2026 is as follows:
     Percent of individuals without insurance for CY 2013: 14 
percent.
     Percent of individuals without insurance for CY 2025: 7.7 
percent.
     Percent of individuals without insurance for CY 2026: 8.7 
percent.
     Percent of individuals without insurance for FY 2026: 
(0.25 times 0.077) + (0.75 times 0.087) = 8.5 percent.
     FY 2026's proposed Factor 2 is calculated as 1 minus the 
percent change in the percent of individuals without insurance between 
CY 2013 and FY 2026.
     Proposed Factor 2 is as follows: 1-[verbar]((0.14-0.085)/
0.14)[verbar] = 1-0.3929 = 0.6071.
    We are proposing that Factor 2 for FY 2026 would be 60.71 percent.
    The proposed FY 2026 uncompensated care amount is equivalent to 
proposed Factor 1 multiplied by proposed Factor 2, which is 
$7,140,406,650.
    We are inviting public comments on our proposed Factor 2 for FY 
2026.
3. Calculation of Proposed Factor 3 for FY 2026
a. General Background
    Section 1886(r)(2)(C) of the Act defines Factor 3 in the 
calculation of the uncompensated care payment. As we have discussed 
earlier, section 1886(r)(2)(C) of the Act states that Factor 3 is equal 
to the percent, for each subsection (d) hospital, that represents the 
quotient of: (1) the amount of uncompensated care for such hospital for 
a period selected by the Secretary (as estimated by the Secretary, 
based on appropriate data (including, in the case where the Secretary 
determines alternative data are available that are a better proxy for 
the costs of subsection (d) hospitals for treating the uninsured, the 
use of such alternative data)); and (2) the aggregate amount of 
uncompensated care for all subsection (d) hospitals that receive a 
payment under section 1886(r) of the Act for such period (as so 
estimated, based on such data).
    Therefore, Factor 3 is a hospital-specific value that expresses the 
proportion of the estimated uncompensated care amount for each 
subsection (d) hospital and each subsection (d) Puerto Rico hospital 
with the potential to receive Medicare DSH payments relative to the 
estimated uncompensated care amount for all hospitals estimated to 
receive Medicare DSH payments in the fiscal year for which the 
uncompensated care payment is to be made. Factor 3 is applied to the 
product of Factor 1 and Factor 2 to determine the amount of the 
uncompensated care payment that each eligible hospital will receive for 
FY 2014 and subsequent fiscal years. In order to implement the 
statutory requirements for this factor of the uncompensated care 
payment formula, it was necessary for us to determine: (1) the 
definition of uncompensated care or, in other words, the specific items 
that are to be included in the numerator (that is, the estimated 
uncompensated care amount for an individual hospital) and the 
denominator (that is, the estimated uncompensated care amount for all 
hospitals estimated to receive Medicare DSH payments in the applicable 
fiscal year); (2) the data source(s) for the estimated uncompensated 
care amount; and (3) the timing and manner of computing the quotient 
for each hospital estimated to receive Medicare DSH payments. The 
statute instructs the Secretary to estimate the amounts of 
uncompensated care for a period based

[[Page 18259]]

on appropriate data. In addition, we note that the statute permits the 
Secretary to use alternative data in the case where the Secretary 
determines that such alternative data are available that are a better 
proxy for the costs of subsection (d) hospitals for treating 
individuals who are uninsured. For a discussion of the methodology, we 
used to calculate Factor 3 for fiscal years 2014 through 2022, we refer 
readers to the FY 2024 IPPS/LTCH final rule (88 FR 59001 and 59002).
b. Background on the Methodology Used To Calculate Factor 3 for FY 2024 
and Subsequent Years
    Section 1886(r)(2)(C) of the Act governs the selection of the data 
to be used in calculating Factor 3 and allows the Secretary the 
discretion to determine the time periods from which we will derive the 
data to estimate the numerator and the denominator of the Factor 3 
quotient. Specifically, section 1886(r)(2)(C)(i) of the Act defines the 
numerator of the quotient as the amount of uncompensated care for a 
subsection (d) hospital for a period selected by the Secretary. Section 
1886(r)(2)(C)(ii) of the Act defines the denominator as the aggregate 
amount of uncompensated care for all subsection (d) hospitals that 
receive a payment under section 1886(r) of the Act for such period. In 
the FY 2014 IPPS/LTCH PPS final rule (78 FR 50634 through 50647), we 
adopted a process of making interim payments with final cost report 
settlement for both the empirically justified Medicare DSH payments and 
the uncompensated care payments required by section 3133 of the 
Affordable Care Act. Consistent with that process, we also determined 
the time period from which to calculate the numerator and denominator 
of the Factor 3 quotient in a way that would be consistent with making 
interim and final payments. Specifically, we must have Factor 3 values 
available for hospitals that we estimate will qualify for Medicare DSH 
payments for a fiscal year and for those hospitals that we do not 
estimate will qualify for Medicare DSH payments for that fiscal year 
but that may ultimately qualify for Medicare DSH payments for that 
fiscal year at the time of cost report settlement.
    As described in the FY 2022 IPPS/LTCH PPS final rule, commenters 
expressed concerns that the use of only 1 year of data to determine 
Factor 3 would lead to significant variations in year-to-year 
uncompensated care payments. Some stakeholders recommended the use of 2 
years of historical data from Worksheet S-10 data of the Medicare cost 
report (86 FR 45237). In the FY 2022 IPPS/LTCH PPS final rule, we 
stated that we would consider using multiple years of data when the 
vast majority of providers had been audited for more than 1 fiscal year 
under the revised reporting instructions. Audited FY 2020 cost reports 
were available for the development of the FY 2024 IPPS/LTCH PPS 
proposed and final rules. Feedback from previous audits and lessons 
learned were incorporated into the audit process for the FY 2020 
reports.
    In consideration of the comments discussed in the FY 2022 IPPS/LTCH 
PPS final rule, in the FY 2023 IPPS/LTCH PPS final rule (87 FR 49036 
through 49047), we finalized a policy of using a multi-year average of 
audited Worksheet S-10 data to determine Factor 3 for FY 2023 and 
subsequent fiscal years. We explained our belief that this approach 
would be generally consistent with our past practice of using the most 
recent single year of audited data from the Worksheet S-10, while also 
addressing commenters' concerns regarding year-to-year fluctuations in 
uncompensated care payments. Under this policy, we used a 2-year 
average of audited FY 2018 and FY 2019 Worksheet S-10 data to calculate 
Factor 3 for FY 2023. We also indicated that we expected FY 2024 would 
be the first year that 3 years of audited data would be available at 
the time of rulemaking. For FY 2024 and subsequent fiscal years, we 
finalized a policy of using a 3-year average of the uncompensated care 
data from the 3 most recent fiscal years for which audited data are 
available to determine Factor 3. Consistent with the approach that we 
followed when multiple years of data were previously used in the Factor 
3 methodology, if a hospital does not have data for all 3 years used in 
the Factor 3 calculation, we will determine Factor 3 based on an 
average of the hospital's available data. For IHS and Tribal hospitals 
and Puerto Rico hospitals, we use the same multi-year average of 
Worksheet S-10 data to determine Factor 3 for FY 2024 and subsequent 
fiscal years as is used to determine Factor 3 for all other DSH-
eligible hospitals (in other words, hospitals eligible to receive 
empirically justified Medicare DSH payments for a fiscal year) to 
determine Factor 3.
    In the FY 2023 IPPS/LTCH PPS final rule (87 FR 49033 through 
49047), we also modified our policy regarding cost reports that start 
in one fiscal year and span the entirety of the following fiscal year. 
Specifically, in the rare cases when we use a cost report that starts 
in one fiscal year and spans the entirety of the subsequent fiscal year 
to determine uncompensated care costs for the subsequent fiscal year, 
we would not use the same cost report to determine the hospital's 
uncompensated care costs for the earlier fiscal year. We explained that 
using the same cost report to determine uncompensated care costs for 
both fiscal years would not be consistent with our intent to smooth 
year-to-year variation in uncompensated care costs. As an alternative, 
we finalized our proposal to use the hospital's most recent prior cost 
report, if that cost report spans the applicable period.\219\
---------------------------------------------------------------------------

    \219\ For example, in determining Factor 3 for FY 2023, we did 
not use the same cost report to determine a hospital's uncompensated 
care costs for both FY 2018 and FY 2019. Rather, we used the cost 
report that spanned the entirety of FY 2019 to determine 
uncompensated care costs for FY 2019 and used the hospital's most 
recent prior cost report to determine its uncompensated care costs 
for FY 2018, provided that cost report spanned some portion of FY 
2018.
---------------------------------------------------------------------------

(1) Scaling Factor
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69323), we continued 
the policy finalized in the FY 2023 IPPS/LTCH PPS final rule (87 FR 
49042) to address the effects of calculating Factor 3 using data from 
multiple fiscal years, in which we apply a scaling factor to the Factor 
3 values calculated for all DSH-eligible hospitals so that total 
uncompensated care payments to hospitals that are projected to be DSH-
eligible for a fiscal year will be consistent with the estimated amount 
available to make uncompensated care payments for that fiscal year. 
Pursuant to that policy, we divide 1 (the expected sum of all DSH-
eligible hospitals' Factor 3 values) by the actual sum of all DSH-
eligible hospitals' Factor 3 values and then multiply the quotient by 
the uncompensated care payment determined for each DSH-eligible 
hospital to obtain a scaled uncompensated care payment amount for each 
hospital. This process is designed to ensure that the sum of the scaled 
uncompensated care payments for all hospitals that are projected to be 
DSH-eligible is consistent with the estimate of the total amount 
available to make uncompensated care payments for the applicable fiscal 
year.
(2) New Hospital Policy for Purposes of Factor 3
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69323), we continued 
our new hospital policy that was modified in the FY 2023 IPPS/LTCH PPS 
final rule (87 FR 49042) and initially adopted in the FY 2020 IPPS/LTCH 
PPS final rule (84 FR 42370 through 42371) to determine Factor 3 for 
new hospitals. Consistent with our policy of using

[[Page 18260]]

multiple years of cost reports to determine Factor 3, we defined new 
hospitals as hospitals that do not have cost report data for the most 
recent year of data being used in the Factor 3 calculation. Under this 
definition, the cut-off date for the new hospital policy is the 
beginning of the fiscal year after the most recent year for which 
audits of the Worksheet S-10 data have been conducted. For FY 2026, the 
FY 2022 cost reports are the most recent year of cost reports for which 
audits of Worksheet S-10 data have been conducted. Thus, hospitals with 
CMS Certification Numbers (CCNs) established on or after October 1, 
2022, would be subject to the new hospital policy for FY 2026.
    Under our modified new hospital policy, if a new hospital has a 
preliminary projection of being DSH-eligible based on its most recent 
available disproportionate patient percentage, it may receive interim 
empirically justified DSH payments. However, new hospitals will not 
receive interim uncompensated care payments because we would have no 
uncompensated care data on which to determine what those interim 
payments should be. The MAC will make a final determination concerning 
whether the hospital is eligible to receive Medicare DSH payments at 
cost report settlement. In FY 2025, while we continued to determine the 
numerator of the Factor 3 calculation using the new hospital's 
uncompensated care costs reported on Worksheet S-10 of the hospital's 
cost report for the current fiscal year, we determined Factor 3 for new 
hospitals using a denominator based solely on uncompensated care costs 
from cost reports for the most recent fiscal year for which audits have 
been conducted. In addition, we applied a scaling factor to the Factor 
3 calculation for a new hospital.\220\
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    \220\ In the FY 2023 IPPS/LTCH PPS final rule (87 FR 49042), we 
explained our belief that applying the scaling factor is appropriate 
for purposes of calculating Factor 3 for all hospitals, including 
new hospitals and hospitals that are treated as new hospitals, to 
improve consistency and predictability across all hospitals.
---------------------------------------------------------------------------

(3) Newly Merged Hospital Policy
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 690323 through 
690324), we continued our policy of treating hospitals that merge after 
the development of the final rule for the applicable fiscal year 
similar to new hospitals. As explained in the FY 2015 IPPS/LTCH PPS 
final rule (79 FR 50021), for these newly merged hospitals, we do not 
have data currently available to calculate a Factor 3 amount that 
accounts for the merged hospital's uncompensated care burden. In the FY 
2015 IPPS/LTCH PPS final rule (79 FR 50021 and 50022), we finalized a 
policy under which Factor 3 for hospitals that we do not identify as 
undergoing a merger until after the public comment period and 
additional review period following the publication of the final rule or 
that undergo a merger during the fiscal year will be recalculated 
similar to new hospitals.
    Consistent with the policy adopted in the FY 2015 IPPS/LTCH PPS 
final rule, in the FY 2025 IPPS/LTCH PPS final rule (89 FR 690323 
through 690324), we stated that we would continue to treat newly merged 
hospitals in a similar manner to new hospitals, such that the newly 
merged hospital's final uncompensated care payment will be determined 
at cost report settlement where the numerator of the newly merged 
hospital's Factor 3 will be based on the cost report of only the 
surviving hospital (that is, the newly merged hospital's cost report) 
for the current fiscal year. However, if the hospital's cost reporting 
period includes less than 12 months of data, the data from the newly 
merged hospital's cost report will be annualized for purposes of the 
Factor 3 calculation. Consistent with the methodology used to determine 
Factor 3 for new hospitals described in section IV.E.3. of the preamble 
of this proposed rule, we continued our policy for determining Factor 3 
for newly merged hospitals using a denominator that is the sum of the 
uncompensated care costs for all DSH-eligible hospitals, as reported on 
Worksheet S-10 of their cost reports for the most recent fiscal year 
for which audits have been conducted. In addition, we apply a scaling 
factor, as discussed in section IV.E.3. of the preamble of this 
proposed rule, to the Factor 3 calculation for a newly merged hospital. 
In the FY 2025 IPPS/LTCH PPS final rule, we explained that consistent 
with past policy, interim uncompensated care payments for the newly 
merged hospital would be based only on the data for the surviving 
hospital's CCN available at the time of the development of the final 
rule.
(4) CCR Trim Methodology
    The calculation of a hospital's total uncompensated care costs on 
Worksheet S-10 requires the use of the hospital's cost to charge ratio 
(CCR). In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69324), we 
continued the policy of trimming CCRs, which we adopted in the FY 2023 
IPPS/LTCH PPS final rule (87 FR 49043), for FY 2025. Under this policy, 
we apply the following steps to determine the applicable CCR separately 
for each fiscal year that is included as part of the multi-year average 
used to determine Factor 3:
    Step 1: Remove Maryland hospitals. In addition, we will remove all-
inclusive rate providers because their CCRs are not comparable to the 
CCRs calculated for other IPPS hospitals.
    Step 2: Calculate a CCR ``ceiling'' for the applicable fiscal year 
with the following data: for each IPPS hospital that was not removed in 
Step 1 (including hospitals that are not DSH-eligible), we use cost 
report data to calculate a CCR by dividing the total costs on Worksheet 
C, Part I, Line 202, Column 3 by the charges reported on Worksheet C, 
Part I, Line 202, Column 8. (Combining data from multiple cost reports 
from the same fiscal year is not necessary, as the longer cost report 
will be selected.) The ceiling is calculated as 3 standard deviations 
above the national geometric mean CCR for the applicable fiscal year. 
This approach is consistent with the methodology for calculating the 
CCR ceiling used for high-cost outliers. Remove all hospitals that 
exceed the ceiling so that these aberrant CCRs do not skew the 
calculation of the statewide average CCR.
    Step 3: Using the CCRs for the remaining hospitals in Step 2, 
determine the urban and rural statewide average CCRs for the applicable 
fiscal year for hospitals within each State (including hospitals that 
are not DSH-eligible), weighted by the sum of total hospital discharges 
from Worksheet S-3, Part I, Line 14, Column 15.
    Step 4: Assign the appropriate statewide average CCR (urban or 
rural) calculated in Step 3 to all hospitals, excluding all-inclusive 
rate providers, with a CCR for the applicable fiscal year greater than 
3 standard deviations above the national geometric mean for that fiscal 
year (that is, the CCR ``ceiling'').
    Step 5: For hospitals that did not report a CCR on Worksheet S-10, 
Line 1, we assign them the statewide average CCR for the applicable 
fiscal year as determined in step 3.
    After completing these steps, we re-calculate the hospital's 
uncompensated care costs (Line 30) for the applicable fiscal year using 
the trimmed CCR (the statewide average CCR (urban or rural, as 
applicable)).
(5) Uncompensated Care Data Trim Methodology
    After applying the CCR trim methodology, there are rare situations 
where a hospital has potentially aberrant uncompensated care data for a 
fiscal year that are unrelated to its CCR. Therefore, under the trim 
methodology for potentially aberrant uncompensated

[[Page 18261]]

care costs (UCC) that was included as part of the methodology for 
purposes of determining Factor 3 in the FY 2021 IPPS/LTCH PPS final 
rule (85 FR 58832), if the hospital's uncompensated care costs for any 
fiscal year that is included as a part of the multi-year average are an 
extremely high ratio (greater than 50 percent) of its total operating 
costs in the applicable fiscal year, we will determine the ratio of 
uncompensated care costs to the hospital's total operating costs from 
another available cost report, and apply that ratio to the total 
operating expenses for the potentially aberrant fiscal year to 
determine an adjusted amount of uncompensated care costs for the 
applicable fiscal year.\221\
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    \221\ For example, if a hospital's FY 2018 cost report is 
determined to include potentially aberrant data, data from its FY 
2019 cost report would be used for the ratio calculation.
---------------------------------------------------------------------------

    However, we note that we have audited the Worksheet S-10 data that 
will be used in the Factor 3 calculation for a number of hospitals. 
Because the UCC data for these hospitals have been subject to audit, we 
believe that there is increased confidence that if high uncompensated 
care costs are reported by these audited hospitals, the information is 
accurate. Therefore, as we explained in the FY 2021 IPPS/LTCH PPS final 
rule (85 FR 58832), we determined it is unnecessary to apply the UCC 
trim methodology for a fiscal year for which a hospital's UCC data have 
been audited.
    In rare cases, hospitals that are not currently projected to be 
DSH-eligible and that do not have audited Worksheet S-10 data may have 
a potentially aberrant amount of insured patients' charity care costs 
(line 23 column 2). In the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69324 through 69325), we stated that in addition to the UCC trim 
methodology, we will continue to apply an alternative trim specific to 
certain hospitals that do not have audited Worksheet S-10 data for one 
or more of the fiscal years that are used in the Factor 3 calculation. 
For FY 2023 and subsequent fiscal years, in the rare case that a 
hospital's insured patients' charity care costs for a fiscal year are 
greater than $7 million and the ratio of the hospital's cost of insured 
patient charity care (line 23 column 2) to total uncompensated care 
costs (line 30) is greater than 60 percent, we will not calculate a 
Factor 3 for the hospital at the time of proposed or final rulemaking. 
This trim will only impact hospitals that are not currently projected 
to be DSH-eligible; and therefore, are not part of the calculation of 
the denominator of Factor 3, which includes only uncompensated care 
costs for hospitals projected to be DSH-eligible. Consistent with the 
approach adopted in the FY 2022 IPPS/LTCH PPS final rule, if a hospital 
would be trimmed under both the UCC trim methodology and this 
alternative trim, we will apply this trim in place of the existing UCC 
trim methodology. We continue to believe this alternative trim more 
appropriately addresses potentially aberrant insured patient charity 
care costs compared to the UCC trim methodology, because the UCC trim 
is based solely on the ratio of total uncompensated care costs to total 
operating costs and does not consider the level of insured patients' 
charity care costs.
    Similar to the approach initially adopted in the FY 2022 IPPS/LTCH 
PPS final rule (86 FR 45245 and 45246), in the FY 2025 IPPS/LTCH PPS 
final rule (89 FR 69324), we also stated that we would continue to use 
a threshold of 3 standard deviations from the mean ratio of insured 
patients' charity care costs to total uncompensated care costs (line 23 
column 2 divided by line 30) and a dollar threshold that is the median 
total uncompensated care cost reported on most recent audited cost 
reports for hospitals that are projected to be DSH-eligible. We stated 
that we continued to believe these thresholds are appropriate to 
address potentially aberrant data. We also continued to include 
Worksheet S-10 data from IHS/Tribal hospitals and Puerto Rico hospitals 
consistent with our policy finalized in the FY 2023 IPPS/LTCH PPS final 
rule (87 FR 49047 through 49051). In addition, we continued our policy 
adopted in the FY 2023 IPPS/LTCH PPS final rule (87 FR 49044) of 
applying the same threshold amounts originally calculated for the FY 
2019 reports to identify potentially aberrant data for FY 2025 and 
subsequent fiscal years to facilitate transparency and predictability. 
If a hospital subject to this trim is determined to be DSH-eligible at 
cost report settlement, the MAC will calculate the hospital's Factor 3 
using the same methodology used to calculate Factor 3 for new 
hospitals.
c. Methodology for Calculating Factor 3 for FY 2026
    For FY 2026, consistent with Sec.  412.106(g)(1)(iii)(C)(11), we 
are following the same methodology as applied in FY 2024 and described 
in the previous section of the preamble of this proposed rule to 
determine Factor 3 using the most recent 3 years of audited cost 
reports, from FY 2020, FY 2021, and FY 2022. Consistent with our 
approach for FY 2025, for FY 2026, we are also applying the scaling 
factor, new hospital, newly merged hospital, CCR trim methodology, UCC 
trim, and alternative trim methodology policies discussed in the 
previous section of the preamble of this proposed rule. For purposes of 
the FY 2026 IPPS/LTCH PPS proposed rule, we are using reports from the 
December 2024 HCRIS extract to calculate Factor 3. We intend to use the 
March 2025 update of HCRIS to calculate the final Factor 3 for the FY 
2026 IPPS/LTCH PPS final rule.
    Thus, for FY 2026, we will use 3 years of audited Worksheet S-10 
Part 1 data to calculate Factor 3 for all eligible hospitals, including 
IHS and Tribal hospitals and Puerto Rico hospitals that have a cost 
report for 2013, following the below steps. We note that we are 
clarifying in these steps our use of Worksheet S-10, Part I, rather 
than Worksheet S-10, Part II, to calculate Factor 3.
    Step 1: Select the hospital's longest cost report for each of the 
most recent 3 years of fiscal year (FY) audited cost reports (FY 2020, 
FY 2021, and FY 2022). Alternatively, in the rare case when the 
hospital has no cost report for a particular year because the cost 
report for the previous fiscal year spanned the more recent fiscal 
year, the previous fiscal year cost report will be used in this step. 
In the rare case that using a previous fiscal year cost report results 
in a period without a report, we would use the prior year report, if 
that cost report spanned the applicable period.\222\ In general, we 
note that, for purposes of the Factor 3 methodology, references to a 
fiscal year cost report are to the cost report that spans the relevant 
fiscal year.
---------------------------------------------------------------------------

    \222\ For example, if a hospital does not have a FY 2020 cost 
report because the hospital's FY 2019 cost report spanned the FY 
2020 time period, we will use the FY 2019 cost report that spanned 
the FY 2020 time period for this step. Using the same example, where 
the hospital's FY 2019 report is used for the FY 2020 time period, 
we will use the hospital's FY 2018 report if it spans some of the FY 
2019 time period. We will not use the same cost report for both the 
FY 2020 and the FY 2019 time periods.
---------------------------------------------------------------------------

    Step 2: Annualize the UCC from Worksheet S-10, Part I, Line 30, if 
a cost report is more than or less than 12 months. (If applicable, use 
the statewide average CCR (urban or rural) to calculate uncompensated 
care costs.)
    Step 3: Combine adjusted and/or annualized uncompensated care costs 
for hospitals that merged using the merger policy.
    Step 4: Calculate Factor 3 for all DSH-eligible hospitals using 
annualized uncompensated care costs (Worksheet S-10, Part I, Line 30) 
based on cost report data from the most recent 3 years

[[Page 18262]]

of audited cost reports (from Step 1, 2 or 3). New hospitals and other 
hospitals that are treated as if they are new hospitals for purposes of 
Factor 3 are excluded from this calculation.
    Step 5: Average the Factor 3 values from Step 4; that is, add the 
Factor 3 values, and divide that amount by the number of cost reporting 
periods with data to compute an average Factor 3 for the hospital. 
Multiply by a scaling factor, as discussed in the previous section of 
the preamble of this proposed rule.
    As we explained previously in this section, for FY 2026, we are 
also applying the scaling factor, new hospital, newly merged hospital, 
CCR trim methodology, UCC trim, and alternative trim methodology 
policies discussed in the previous section of the preamble of this 
proposed rule. For a hospital that is subject to either of the trims 
for potentially aberrant data (the UCC trim and alternative trim 
methodology explained in the previous section of the preamble of this 
proposed rule) and is ultimately determined to be DSH-eligible at cost 
report settlement, its uncompensated care payment will be calculated 
only after the hospital's reporting of insured charity care costs on 
its FY 2026 Worksheet S-10 has been reviewed. Accordingly, the MAC will 
calculate a Factor 3 for the hospital only after reviewing the 
uncompensated care information reported on Worksheet S-10 of the 
hospital's FY 2026 cost report. Then we will calculate Factor 3 for the 
hospital using the same methodology used to determine Factor 3 for new 
hospitals. Specifically, the numerator will reflect the uncompensated 
care costs reported on the hospital's FY 2026 cost report, while the 
denominator will reflect the sum of the uncompensated care costs 
reported on Worksheet S-10 of the FY 2022 cost reports of all DSH-
eligible hospitals. In addition, we will apply a scaling factor, as 
discussed previously, to the Factor 3 calculation for the hospital.
    Under the CCR trim methodology, for purposes of this proposed rule, 
the statewide average CCR was applied to 8 hospitals' FY 2020 reports, 
of which 2 hospitals had FY 2020 Worksheet S-10 data. The statewide 
average CCR was applied to 10 hospitals' FY 2021 reports, of which 4 
hospitals had FY 2021 Worksheet S-10 data. The statewide average CCR 
was applied to 8 hospitals' FY 2022 reports, of which 2 hospitals had 
FY 2022 Worksheet S-10 data.
    For purposes of the FY 2026 IPPS/LTCH PPS final rule, consistent 
with our Factor 3 methodology since the FY 2014 IPPS/LTCH PPS final 
rule (78 FR 50642), we intend to use data from the March 2025 HCRIS 
extract for this calculation, which would be the latest quarterly HCRIS 
extract that is publicly available at the time of the development of 
the FY 2026 IPPS/LTCH PPS final rule.
    Regarding requests from providers to amend and/or reopen previously 
audited Worksheet S-10 data for the most recent 3 cost reporting years 
that are used in the methodology for calculating Factor 3, we note that 
MACs follow normal timelines and procedures. For purposes of the Factor 
3 calculation for the FY 2026 IPPS/LTCH PPS final rule, any amended 
reports and/or reopened reports would need to have completed the 
amended report and/or reopened report submission processes by the end 
of March 2025. In other words, if the amended report and/or reopened 
report is not available for the March HCRIS extract, then that amended 
and/or reopened report data would not be part of the FY 2026 IPPS/LTCH 
PPS final rule's Factor 3 calculation. We note that the March HCRIS 
data extract will be available during the comment period for this 
proposed rule if providers want to verify that their amended and/or 
reopened data is reflected in the March HCRIS extract.
d. Per-Discharge Amount of Interim Uncompensated Care Payments for FY 
2026
    Since FY 2014, we have made interim uncompensated care payments 
during the fiscal year on a per-discharge basis. Typically, we use a 3-
year average of the number of discharges for a hospital to produce an 
estimate of the amount of the hospital's uncompensated care payment per 
discharge. Specifically, the hospital's total uncompensated care 
payment amount for the applicable fiscal year is divided by the 
hospital's historical 3-year average of discharges computed using the 
most recent available data to determine the uncompensated care payment 
per discharge for that fiscal year.
    As discussed in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69328-
69329), we finalized a policy to use a 3-year average of the most 
recent years of available historical discharge data to calculate a per-
discharge payment amount that would be used to make interim 
uncompensated care payments to each projected DSH-eligible hospital 
during FY 2026 and subsequent fiscal years, codified at 42 CFR 
412.106(i)(1). We are applying this policy for FY 2026. Interim 
uncompensated care payments made to a hospital during the fiscal year 
are reconciled following the end of the year to ensure that the final 
payment amount is consistent with the hospital's prospectively 
determined uncompensated care payment for the fiscal year.
    As we explained in the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69329 through 69330), we also finalized a voluntary process in the FY 
2021 IPPS/LTCH PPS final rule (85 FR 58833 and 58834), through which a 
hospital may submit a request to its MAC for a lower per-discharge 
interim uncompensated care payment amount, including a reduction to 
zero, once before the beginning of the fiscal year and/or once during 
the fiscal year. In conjunction with this request, the hospital must 
provide supporting documentation demonstrating that there would likely 
be a significant recoupment at cost report settlement if the per-
discharge amount is not lowered (for example, recoupment of 10 percent 
or more of the hospital's total uncompensated care payment, or at least 
$100,000). For example, a hospital might submit documentation showing a 
large projected increase in discharges during the fiscal year to 
support reduction of its per-discharge uncompensated care payment 
amount. As another example, a hospital might request that its per-
discharge uncompensated care payment amount be reduced to zero midyear 
if the hospital's interim uncompensated care payments during the year 
have already surpassed the total uncompensated care payment calculated 
for the hospital.
    Under the policy we finalized in the FY 2021 IPPS/LTCH PPS final 
rule (85 FR 58833 through 58834), the hospital's MAC will evaluate 
these requests and the supporting documentation before the beginning of 
the fiscal year and/or with midyear requests when the historical 
average number of discharges is lower than the hospital's projected 
discharges for the current fiscal year. If, following review of the 
request and the supporting documentation, the MAC agrees that there 
likely would be significant recoupment of the hospital's interim 
Medicare uncompensated care payments at cost report settlement, the 
only change that will be made is to lower the per-discharge amount 
either to the amount requested by the hospital or another amount 
determined by the MAC to be appropriate to reduce the likelihood of a 
substantial recoupment at cost report settlement. If the MAC determines 
it would be appropriate to reduce the interim Medicare uncompensated 
care payment per-discharge amount, that updated amount will be used for 
purposes of the outlier payment calculation for the remainder of the 
fiscal year. We are continuing to

[[Page 18263]]

apply this policy for FY 2026. We refer readers to the Addendum in the 
FY 2023 IPPS/LTCH final rule for a more detailed discussion of the 
steps for determining the operating and capital Federal payment rate 
and the outlier payment calculation (87 FR 49431 through 49432). No 
change would be made to the total uncompensated care payment amount 
determined for the hospital on the basis of its Factor 3. In other 
words, any change to the per-discharge uncompensated care payment 
amount will not change how the total uncompensated care payment amount 
will be reconciled at cost report settlement.
e. Process for Notifying CMS of Merger Updates and To Report Upload 
Issues
    As we have done for every proposed and final rule beginning in FY 
2014, in conjunction with this proposed rule, we will publish on the 
CMS website a table listing Factor 3 for hospitals that we estimate 
will receive empirically justified Medicare DSH payments in FY 2026 
(that is, those hospitals that will receive interim uncompensated care 
payments during the fiscal year), and for the remaining subsection (d) 
hospitals and subsection (d) Puerto Rico hospitals that have the 
potential of receiving an uncompensated care payment in the event that 
they receive an empirically justified Medicare DSH payment for the 
fiscal year as determined at cost report settlement. However, we note 
that a Factor 3 will not be published for new hospitals and hospitals 
that are subject to the alternative trim for hospitals with potentially 
aberrant data that are not projected to be DSH-eligible.
    We will also publish a supplemental data file containing a list of 
the mergers that we are aware of and the computed uncompensated care 
payment for each merged hospital. In the DSH uncompensated care 
supplemental data file, we list new hospitals and the 8 hospitals that 
would be subject to the alternative trim for hospitals with potentially 
aberrant data that are not projected to be DSH-eligible, with a N/A in 
the Factor 3 column.
    Hospitals have 60 days from the date of public display of the FY 
2026 IPPS/LTCH PPS proposed rule in the Federal Register to review the 
table and supplemental data file published on the CMS website in 
conjunction with this proposed rule and to notify CMS in writing of 
issues related to mergers and/or to report potential upload 
discrepancies due to MAC mishandling of Worksheet S-10 data during the 
report submission process.\223\ Comments raising issues or concerns 
that are specific to the information included in the table and 
supplemental data file should be submitted by email to the CMS inbox at 
[email protected]. We will address comments related to mergers 
and/or reporting upload discrepancies submitted to the CMS DSH inbox as 
appropriate in the table and the supplemental data file that we publish 
on the CMS website in conjunction with the publication of the FY 2026 
IPPS/LTCH PPS final rule. All other comments submitted in response to 
our proposals for FY 2026 must be submitted in one of the three ways 
found in the ADDRESSES section of the proposed rule before the close of 
the comment period in order to be assured consideration. In addition, 
we note that the CMS DSH inbox is not intended for Worksheet S-10 audit 
process related emails, which should be directed to the MACs.
---------------------------------------------------------------------------

    \223\ For example, if the report does not reflect audit results 
due to MAC mishandling, or the most recent report differs from a 
previously accepted, amended report due to MAC mishandling.
---------------------------------------------------------------------------

VI. Other Proposed Decisions and Changes to the IPPS for Operating 
Costs

A. Proposed Changes to MS-DRGs Subject to Postacute Care Transfer 
Policy and MS-DRG Special Payments Policies (Sec.  412.4)

1. Background
    Existing regulations at 42 CFR 412.4(a) define discharges under the 
IPPS as situations in which a patient is formally released from an 
acute care hospital or dies in the hospital. Section 412.4(b) defines 
acute care transfers, and Sec.  412.4(c) defines postacute care 
transfers. Our policy set forth in Sec.  412.4(f) provides that when a 
patient is transferred and his or her length of stay is less than the 
geometric mean length of stay for the MS-DRG to which the case is 
assigned, the transferring hospital is generally paid based on a 
graduated per diem rate for each day of stay, not to exceed the full 
MS-DRG payment that would have been made if the patient had been 
discharged without being transferred.
    The per diem rate paid to a transferring hospital is calculated by 
dividing the full MS-DRG payment by the geometric mean length of stay 
for the MS-DRG. Based on an analysis that showed that the first day of 
hospitalization is the most expensive (60 FR 45804), our policy 
generally provides for payment that is twice the per diem amount for 
the first day, with each subsequent day paid at the per diem amount up 
to the full MS-DRG payment (Sec.  412.4(f)(1)). Transfer cases also are 
eligible for outlier payments. In general, the outlier threshold for 
transfer cases, as described in Sec.  412.80(b), is equal to (Fixed-
Loss Outlier threshold for Nontransfer Cases adjusted for geographic 
variations in costs/Geometric Mean Length of Stay for the MS-DRG) * 
(Length of Stay for the Case plus 1 day).
    We established the criteria set forth in Sec.  412.4(d) for 
determining which DRGs qualify for postacute care transfer payments in 
the FY 2006 IPPS final rule (70 FR 47419 through 47420). The 
determination of whether a DRG is subject to the postacute care 
transfer policy was initially based on the Medicare Version 23.0 
GROUPER (FY 2006) and data from the FY 2004 MedPAR file. However, if a 
DRG did not exist in Version 23.0 or a DRG included in Version 23.0 is 
revised, we use the current version of the Medicare GROUPER and the 
most recent complete year of MedPAR data to determine if the DRG is 
subject to the postacute care transfer policy. Specifically, if the MS-
DRG's total number of discharges to postacute care equals or exceeds 
the 55th percentile for all MS-DRGs and the proportion of short-stay 
discharges to postacute care to total discharges in the MS-DRG exceeds 
the 55th percentile for all MS-DRGs, CMS will apply the postacute care 
transfer policy to that MS-DRG and to any other MS-DRG that shares the 
same base MS-DRG. The statute at subparagraph 1886(d)(5)(J) of the Act 
directs CMS to identify MS-DRGs based on a high volume of discharges to 
postacute care facilities and a disproportionate use of postacute care 
services. As discussed in the FY 2006 IPPS final rule (70 FR 47416), we 
determined that the 55th percentile is an appropriate level at which to 
establish these thresholds. In that same final rule (70 FR 47419), we 
stated that we will not revise the list of DRGs subject to the 
postacute care transfer policy annually unless we are making a change 
to a specific MS-DRG.
    To account for MS-DRGs subject to the postacute care policy that 
exhibit exceptionally higher shares of costs very early in the hospital 
stay, Sec.  412.4(f) also includes a special payment methodology. For 
these MS-DRGs, hospitals receive 50 percent of the full MS-DRG payment, 
plus the single per diem payment, for the first day of the stay, as 
well as a per diem payment for subsequent days (up to the full MS-DRG 
payment (Sec.  412.4(f)(6))). For an MS-DRG to qualify for the special 
payment methodology, the geometric mean length of stay must be greater 
than 4

[[Page 18264]]

days, and the average charges of 1-day discharge cases in the MS-DRG 
must be at least 50 percent of the average charges for all cases within 
the MS-DRG. MS-DRGs that are part of an MS-DRG severity level group 
will qualify under the MS-DRG special payment methodology policy if any 
one of the MS-DRGs that share that same base MS-DRG qualifies (Sec.  
412.4(f)(6)).
    Prior to the enactment of the Bipartisan Budget Act of 2018 (Pub. 
L. 115-123), under section 1886(d)(5)(J) of the Act, a discharge was 
deemed a ``qualified discharge'' if the individual was discharged to 
one of the following postacute care settings:
     A hospital or hospital unit that is not a subsection (d) 
hospital.
     A skilled nursing facility.
     Related home health services provided by a home health 
agency provided within a timeframe established by the Secretary 
(beginning within 3 days after the date of discharge).
    Section 53109 of the Bipartisan Budget Act of 2018 amended section 
1886(d)(5)(J)(ii) of the Act to also include discharges to hospice care 
provided by a hospice program as a qualified discharge, effective for 
discharges occurring on or after October 1, 2018. In the FY 2019 IPPS/
LTCH PPS final rule (83 FR 41394), we made conforming amendments to 
Sec.  412.4(c) of the regulation to include discharges to hospice care 
occurring on or after October 1, 2018, as qualified discharges. We 
specified that hospital bills with a Patient Discharge Status code of 
50 (Discharged/Transferred to Hospice--Routine or Continuous Home Care) 
or 51 (Discharged/Transferred to Hospice, General Inpatient Care or 
Inpatient Respite) are subject to the postacute care transfer policy in 
accordance with this statutory amendment.
2. Proposed Changes for FY 2026
    As discussed in the preamble of this proposed rule, based on our 
analysis of FY 2024 MedPAR claims data, CMS proposed to make changes to 
a number of MS-DRGs, effective for FY 2026. Specifically, we are 
proposing the following changes:
     Adding ICD-10-PCS codes describing restriction and 
replacement of the thoracic aorta, and bypass and occlusion of the 
subclavian and carotid arteries, to proposed new MS-DRG 209 (Complex 
Aortic Arch Procedures).
     Adding ICD-10-PCS codes describing restriction of the 
abdominal aorta and restriction of the iliac artery to proposed new MS-
DRG 213 (Endovascular Abdominal Aorta with Iliac Branch Procedures).
     Reassigning ICD-10-PCS codes describing extirpation of 
matter from coronary arteries to proposed new MS-DRG 318 (Percutaneous 
Coronary Atherectomy without Intraluminal Device).
     Reassigning ICD-10-PCS codes describing extirpation of 
matter from coronary arteries and adding ICD-10-PCS codes describing 
dilation of coronary arteries and insertion of an intraluminal or other 
device to proposed new MS-DRGs 359 and 360 (Percutaneous Coronary 
Atherectomy with Intraluminal Device with MCC and without MCC, 
respectively).
     Adding ICD-10-CM diagnosis codes describing periprosthetic 
joint infection and ICD-10-PCS procedure codes describing hip or knee 
procedures to proposed new MS-DRGs 403 and 404 (Hip or Knee Procedures 
with Principal Diagnosis of Periprosthetic Joint Infection with MCC and 
without MCC, respectively).
     Deleting MS-DRGs 294 and 295 (Deep Vein Thrombophlebitis 
with CC/MCC and without CC/MCC, respectively) and reassigning the ICD-
10-CM codes to MS-DRGs 299, 300, and 301 (Peripheral Vascular Disorders 
with MCC, with CC, and without CC/MCC, respectively).
     Deleting MS-DRG 509 (Arthroscopy) and reassigning the ICD-
10-PCS codes describing inspection of various anatomic sites to their 
respective clinically appropriate MS-DRGs.
     Adding ICD-10-CM diagnosis codes describing the insertion 
of a radioactive element into the brain to MS-DRG 023 (Craniotomy with 
Major Device Implant or Acute Complex CNS Principal Diagnosis with MCC 
or Chemotherapy Implant or Epilepsy with Neurostimulator).
    When proposing changes to MS-DRGs that involve adding, deleting, 
and reassigning procedure or diagnosis codes between proposed new and 
revised MS-DRGs, we continue to believe it is necessary to evaluate the 
affected MS-DRGs to determine whether they should be subject to the 
postacute care transfer policy. Considering the proposed changes to the 
MS-DRGs for FY 2026, according to the regulations under Sec.  412.4(d), 
we evaluated the proposed new MS-DRGs using the general postacute care 
transfer policy criteria and data from the FY 2024 MedPAR file. We 
continue to believe it is appropriate to assess new MS-DRGs and 
reassess revised MS DRGs when proposing reassignment of procedure codes 
or diagnosis codes that would result in material changes to an MS DRG. 
We evaluated any current MS-DRGs if we estimate that more than 5 
percent of the current cases would shift from the current assigned MS-
DRGs to proposed new MS-DRGs, or to a current MS-DRG from a proposed 
revised or deleted MS-DRG.
    For existing MS-DRGs 321 and 322 (Percutaneous Cardiovascular 
Procedures with Intraluminal Device with MCC or 4+ arteries/
intraluminal devices, and without MCC, respectively), we determined 
that more than 5 percent of the current cases would shift from the 
current assigned MS-DRGs to proposed new MS-DRGs 359 and 360. We also 
determined that for MS-DRGs 463, 464, and 465 (Wound Debridement and 
Skin Graft Except Hand for Musculoskeletal and Connective Tissue 
Disorders with MCC, with CC, and without MCC/CC, respectively), more 
than 5 percent of the current cases would shift from the current 
assigned MS-DRGs to proposed new MS-DRGs 403 and 404. We note that for 
all other proposed changes, the relative volume of cases shifting to or 
from current MS-DRGs does not exceed the 5 percent threshold.
    If an MS-DRG qualified for the postacute care transfer policy, we 
also evaluated that MS-DRG under the special payment methodology 
criteria according to regulations at Sec.  412.4(f)(6).
    We note that proposed new MS-DRGs 403 and 404 would qualify to be 
included on the list of MS-DRGs that are subject to the postacute care 
transfer policy. We therefore are proposing to add proposed new MS-DRGs 
403 and 404 to the list of MS-DRGs that are subject to the postacute 
care transfer policy.
    We note that MS-DRGs 463, 464 and 465 are currently subject to the 
postacute care transfer policy. As a result of our review, these MS-
DRGs, as proposed to be revised, would continue to qualify to be 
included on the list of MS-DRGs that are subject to the postacute care 
transfer policy.
    Using the December 2024 update of the FY 2024 MedPAR file, we have 
developed the following chart which sets forth the most recent analysis 
of the postacute care transfer policy criteria completed for this 
proposed rule with respect to each of these proposed new or revised MS-
DRGs. For the FY 2026 final rule, we intend to update this analysis 
using the most recent available data at that time.

[[Page 18265]]



 List of Proposed New or Revised MS-DRGs Subject to Review of Postacute Care Transfer Policy Status for FY 2026
----------------------------------------------------------------------------------------------------------------
                                                                        Percent of
                                            Postacute                   shortstay                     Proposed
                                              care       Short-stay  postacute  care     FY 2025      postacute
 Proposed  new                    Total     transfer     postacute     transfers to     postacute       care
  or  revised     MS-DRG title    cases    cases (55th      care        all cases       transfer      transfer
    MS-DRG                                 percentile:    transfer        (55th          policy        policy
                                             1,028)        cases       percentile:       status        status
                                                                         9.654%)
----------------------------------------------------------------------------------------------------------------
209...........  Complex Aortic       334         * 181           34            10.2%  New.........  No.
                 Arch
                 Procedures.
213...........  Endovascular       1,163         * 185            0              * 0  New.........  No.
                 Abdominal
                 Aorta with
                 Iliac Branch
                 Procedures.
318...........  Percutaneous         915         * 164            7            * 0.8  New.........  No.
                 Coronary
                 Atherectomy
                 without
                 Intraluminal
                 Device.
359...........  Percutaneous       3,027         * 876           65            * 2.2  New.........  No.
                 Coronary
                 Atherectomy
                 with
                 Intraluminal
                 Device with
                 MCC.
360...........  Percutaneous       3,934         * 398           36            * 0.9  New.........  No.
                 Coronary
                 Atherectomy
                 with
                 Intraluminal
                 Device without
                 MCC.
321...........  Percutaneous      30,850          8710          798            * 2.6  No..........  No.
                 Cardiovascular
                 Procedures
                 with
                 Intraluminal
                 Device with
                 MCC or 4+
                 arteries/
                 intraluminal
                 devices.
322...........  Percutaneous      46,159          4254            0              * 0  No..........  No.
                 Cardiovascular
                 Procedures
                 with
                 Intraluminal
                 Device without
                 MCC.
403...........  Hip or Knee        1,250          1071          494             39.5  New.........  Yes.
                 Procedures
                 with Principal
                 Diagnosis of
                 Periprosthetic
                 Joint
                 Infection with
                 MCC.
404...........  Hip or Knee        2,400          1995          682             28.4  New.........  Yes.
                 Procedures
                 with Principal
                 Diagnosis of
                 Periprosthetic
                 Joint
                 Infection
                 without MCC.
463...........  Wound              3,477          2865         1244             35.8  Yes.........  Yes.
                 Debridement
                 and Skin Graft
                 Except Hand
                 for
                 Musculoskeleta
                 l and
                 Connective
                 Tissue
                 Disorders with
                 MCC.
464...........  Wound              4,959          3714         1124             22.7  Yes.........  Yes.
                 Debridement
                 and Skin Graft
                 Except Hand
                 for
                 Musculoskeleta
                 l and
                 Connective
                 Tissue
                 Disorders with
                 CC.
465...........  Wound              1,357         * 688            0              * 0  Yes.........  Yes.**
                 Debridement
                 and Skin Graft
                 Except Hand
                 for
                 Musculoskeleta
                 l and
                 Connective
                 Tissue
                 Disorders
                 without CC/MCC.
----------------------------------------------------------------------------------------------------------------
* Indicates a current postacute care transfer policy criterion that the MS-DRG did not meet.
** As described in the policy at 42 CFR 412.4(d)(3)(ii)(D), MS-DRGs that share the same base MS-DRG will all
  qualify under the postacute care transfer policy if any one of the MS-DRGs that share that same base MS-DRG
  qualifies.

    During our annual review of proposed new or revised MS-DRGs and 
analysis of the December 2024 update of the FY 2024 MedPAR file, we 
reviewed the list of proposed revised or new MS-DRGs that qualify to be 
included on the list of MS-DRGs subject to the postacute care transfer 
policy for FY 2026 to determine if any of these MS-DRGs would also be 
subject to the special payment methodology policy for FY 2026.
    Based on our analysis of the proposed changes to the MS-DRGs 
included in the proposed rule, we determined that proposed new and 
revised MS-DRGs 404 and 464 meet the criteria for the MS-DRG special 
payment methodology. As described in the regulations at Sec.  
412.4(f)(6)(iv), MS-DRGs that share the same base MS-DRG will all 
qualify under the MS-DRG special payment policy if any one of the MS-
DRGs that share that same base MS-DRG qualifies. Therefore, we are 
proposing that MS-DRGs 403, 404, 463, 464, and 465 would be subject to 
the MS-DRG special payment methodology, effective for FY 2026. For the 
FY 2026 final rule, we intend to update this analysis using the most 
recent available data at that time.

     List of Proposed New or Revised MS-DRGs Subject to Review of Special Payment Policy Status for FY 2026
----------------------------------------------------------------------------------------------------------------
                                                                   50 Percent
                                         Geometric     Average     of average       FY 2025          Proposed
 Proposed  new or                           mean      charges of   charges for      special          special
 revised  MS-DRG       MS-DRG title      length of      1-day       all cases   payment  policy  payment  policy
                                            stay      discharges   within  MS-       status           status
                                                                       DRG
----------------------------------------------------------------------------------------------------------------
403..............  Hip or Knee                10.57           $0      $130,572  New............  Yes.*
                    Procedures with
                    Principal
                    Diagnosis of
                    Periprosthetic
                    Joint Infection
                    with MCC.
404..............  Hip or Knee                 5.58       87,126        72,946  New............  Yes.
                    Procedures with
                    Principal
                    Diagnosis of
                    Periprosthetic
                    Joint Infection
                    without MCC.
463..............  Wound Debridement          10.58       58,384       114,609  No.............  Yes.*
                    and Skin Graft
                    Except Hand for
                    Musculoskeletal
                    and Connective
                    Tissue Disorders
                    with MCC.
464..............  Wound Debridement           5.40       71,548        68,604  No.............  Yes.
                    and Skin Graft
                    Except Hand for
                    Musculoskeletal
                    and Connective
                    Tissue Disorders
                    with CC.
465..............  Wound Debridement           1.97       69,981        44,134  No.............  Yes.*
                    and Skin Graft
                    Except Hand for
                    Musculoskeletal
                    and Connective
                    Tissue Disorders
                    without MCC/CC.
----------------------------------------------------------------------------------------------------------------
* As described in the policy at 42 CFR 412.4(f)(6)(iv), MS-DRGs that share the same base MS-DRG will all qualify
  under the special payment transfer policy if any one of the MS-DRGs that share that same base MS-DRG
  qualifies.


[[Page 18266]]

B. Proposed Changes in the Inpatient Hospital Update for FY 2026 (Sec.  
412.64(d))

1. Proposed FY 2026 Inpatient Hospital Update
    In accordance with section 1886(b)(3)(B)(i) of the Act, each year 
we update the national standardized amount for inpatient hospital 
operating costs by a factor called the ``applicable percentage 
increase.'' For FY 2026, we are setting the applicable percentage 
increase by applying the adjustments listed in this section in the same 
sequence as we did for FY 2025. (We note that section 
1886(b)(3)(B)(xii) of the Act required an additional reduction each 
year only for FYs 2010 through 2019.) Specifically, consistent with 
section 1886(b)(3)(B) of the Act, as amended by sections 3401(a) and 
10319(a) of the Affordable Care Act, we are setting the applicable 
percentage increase by applying the following adjustments in the 
following sequence. The applicable percentage increase under the IPPS 
for FY 2026 is equal to the rate-of-increase in the hospital market 
basket for IPPS hospitals in all areas, subject to all of the 
following:
     A reduction of one-quarter of the applicable percentage 
increase (prior to the application of other statutory adjustments; also 
referred to as the market basket update or rate-of-increase (with no 
adjustments)) for hospitals that fail to submit quality information 
under rules established by the Secretary in accordance with section 
1886(b)(3)(B)(viii) of the Act.
     A reduction of three-quarters of the applicable percentage 
increase (prior to the application of other statutory adjustments; also 
referred to as the market basket update or rate-of-increase (with no 
adjustments)) for hospitals not considered to be meaningful EHR users 
in accordance with section 1886(b)(3)(B)(ix) of the Act.
     An adjustment based on changes in economy-wide multifactor 
productivity (MFP) (the productivity adjustment) in accordance with 
section 1886(b)(3)(B)(xi)(II) of the Act. Section 1886(b)(3)(B)(xi) of 
the Act, as added by section 3401(a) of the Affordable Care Act, states 
that application of the productivity adjustment may result in the 
applicable percentage increase being less than zero.
    As published in the FY 2006 IPPS final rule (70 FR 47403), in 
accordance with section 404 of Public Law 108-173, CMS determined a new 
frequency for rebasing the hospital market basket of every 4 years. In 
compliance with section 404 of Public Law 108-173, in the FY 2022 IPPS/
LTCH PPS final rule (86 FR 45194 through 45204), we replaced the 2014-
based IPPS operating and capital market baskets with the rebased and 
revised 2018-based IPPS operating and capital market baskets beginning 
in FY 2022. Consistent with our established frequency of rebasing the 
IPPS market basket every 4 years, in this FY 2026 IPPS/LTCH PPS 
proposed rule, we are proposing to rebase and revise the IPPS market 
basket to a 2023 base year, effective beginning in FY 2026.
    We are proposing to base the FY 2026 market basket update used to 
determine the applicable percentage increase for the IPPS on IHS Global 
Inc.'s (IGI's) fourth quarter 2024 forecast of the proposed 2023-based 
IPPS market basket rate-of-increase with historical data through third 
quarter 2024, which is estimated to be 3.2 percent. We are also 
proposing that if more recent data subsequently become available (for 
example, a more recent estimate of the market basket update), we would 
use such data, if appropriate, to determine the FY 2026 market basket 
update in the final rule.
    In the FY 2012 IPPS/LTCH PPS final rule (76 FR 51689 through 
51692), we finalized our methodology for calculating and applying the 
productivity adjustment. As we explained in that rule, section 
1886(b)(3)(B)(xi)(II) of the Act, as added by section 3401(a) of the 
Affordable Care Act, defines this productivity adjustment as equal to 
the 10-year moving average of changes in annual economy-wide, private 
nonfarm business MFP (as projected by the Secretary for the 10-year 
period ending with the applicable fiscal year, calendar year, cost 
reporting period, or other annual period). The U.S. Department of 
Labor's Bureau of Labor Statistics (BLS) publishes the official 
measures of private nonfarm business productivity for the U.S. economy. 
We note that previously the productivity measure referenced in section 
1886(b)(3)(B)(xi)(II) of the Act was published by BLS as private 
nonfarm business multifactor productivity. Beginning with the November 
18, 2021, release of productivity data, BLS replaced the term 
multifactor productivity (MFP) with total factor productivity (TFP). 
BLS noted that this is a change in terminology only and will not affect 
the data or methodology. As a result of the BLS name change, the 
productivity measure referenced in section 1886(b)(3)(B)(xi)(II) of the 
Act is now published by BLS as private nonfarm business total factor 
productivity. However, as mentioned, the data and methods are 
unchanged. Please see www.bls.gov for the BLS historical published TFP 
data. A complete description of IGI's TFP projection methodology is 
available on the CMS website at https://www.cms.gov/data-research/statistics-trends-and-reports/medicare-program-rates-statistics/market-basket-research-and-information. In addition, we note that beginning 
with the FY 2022 IPPS/LTCH PPS final rule, we refer to this adjustment 
as the productivity adjustment rather than the MFP adjustment, to more 
closely track the statutory language in section 1886(b)(3)(B)(xi)(II) 
of the Act. We note that the adjustment continues to rely on the same 
underlying data and methodology.
    For FY 2026, we are proposing a productivity adjustment of 0.8 
percent. Similar to the proposed market basket rate-of-increase, for 
this proposed rule, the estimate of the proposed FY 2026 productivity 
adjustment is based on IGI's fourth quarter 2024 forecast. As noted 
previously, we are proposing that if more recent data subsequently 
become available, we would use such data, if appropriate, to determine 
the FY 2026 productivity adjustment for the final rule.
    Based on these data, we have determined four proposed applicable 
percentage increases to the standardized amount for FY 2026, as 
specified in the following table:

                                      Table VI.B-01--Proposed FY 2026 Applicable Percentage Increases for the IPPS
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                             Hospital submitted                                Hospital did NOT       Hospital did NOT
                                                             quality data and is     Hospital submitted      submit quality data    submit quality data
                          FY 2026                             a meaningful  EHR    quality data and is NOT   and is a meaningful        and is NOT a
                                                                    user           a meaningful  EHR user          EHR user         meaningful EHR user
--------------------------------------------------------------------------------------------------------------------------------------------------------
Proposed Market Basket Rate[dash]of[dash]Increase.........                   3.2                       3.2                    3.2                    3.2
Proposed Adjustment for Failure to Submit Quality Data                       0.0                       0.0                   -0.8                   -0.8
 under Section 1886(b)(3)(B)(viii) of the Act.............

[[Page 18267]]

 
Proposed Adjustment for Failure to be a Meaningful EHR                       0.0                      -2.4                    0.0                   -2.4
 User under Section 1886(b)(3)(B)(ix) of the Act..........
Proposed Productivity Adjustment under Section                              -0.8                      -0.8                   -0.8                   -0.8
 1886(b)(3)(B)(xi) of the Act.............................
Proposed Applicable Percentage Increase Applied to                           2.4                       0.0                    1.6                   -0.8
 Standardized Amount......................................
--------------------------------------------------------------------------------------------------------------------------------------------------------

    In the FY 2020 IPPS/LTCH PPS final rule (84 FR 42344), we revised 
our regulations at 42 CFR 412.64(d) to reflect the current law for the 
update for FY 2020 and subsequent fiscal years. Specifically, in 
accordance with section 1886(b)(3)(B) of the Act, we added paragraph 
(d)(1)(viii) to Sec.  412.64 to set forth the applicable percentage 
increase to the operating standardized amount for FY 2020 and 
subsequent fiscal years as the percentage increase in the market basket 
index, subject to the reductions specified under Sec.  412.64(d)(2) for 
a hospital that does not submit quality data and Sec.  412.64(d)(3) for 
a hospital that is not a meaningful EHR user, less a productivity 
adjustment.
    Section 1886(b)(3)(B)(iv) of the Act provides that the applicable 
percentage increase to the hospital-specific rates for SCHs and MDHs 
equals the applicable percentage increase set forth in section 
1886(b)(3)(B)(i) of the Act (that is, the same update factor as for all 
other hospitals subject to the IPPS). Therefore, the update to the 
hospital-specific rates for SCHs and MDHs is also subject to section 
1886(b)(3)(B)(i) of the Act, as amended by sections 3401(a) and 
10319(a) of the Affordable Care Act.
    As discussed in section V.F. of the preamble of this proposed rule, 
section 2202 of the Full-Year Continuing Appropriations and Extensions 
Act, 2025 extended the MDH program through FY 2025. Therefore, under 
current law, the MDH program will expire for discharges on or after 
October 1, 2025. We refer readers to section V.F. of the preamble of 
this proposed rule for further discussion of the MDH program. We note 
that if the MDH program were to be extended by law into FY 2026, the 
proposed updates to the hospital-specific rates for SCHs as described 
in this section would also apply to the hospital-specific rates for 
MDHs for FY 2026.
    For FY 2026, we are proposing the following updates to the 
hospital-specific rates applicable to SCHs: A proposed update of 2.4 
percent for a hospital that submits quality data and is a meaningful 
EHR user (as defined in section 1886(n) of the Act); a proposed update 
of 0.0 percent for a hospital that submits quality data and is not a 
meaningful EHR user; a proposed update of 1.6 percent for a hospital 
that fails to submit quality data and is a meaningful EHR user; and a 
proposed update of -0.8 percent for a hospital that fails to submit 
quality data and is not an meaningful EHR user. As previously 
discussed, we are proposing that if more recent data subsequently 
become available (for example, a more recent estimate of the market 
basket update and the productivity adjustment), we would use such data, 
if appropriate, to determine the market basket update and the 
productivity adjustment in the final rule.
2. Proposed FY 2026 Puerto Rico Hospital Update
    Section 602 of Public Law 114-113 amended section 1886(n)(6)(B) of 
the Act to specify that subsection (d) Puerto Rico hospitals are 
eligible for incentive payments for the meaningful use of certified EHR 
technology, effective beginning FY 2016. In addition, section 
1886(n)(6)(B) of the Act was amended to specify that the adjustments to 
the applicable percentage increase under section 1886(b)(3)(B)(ix) of 
the Act apply to subsection (d) Puerto Rico hospitals that are not 
meaningful EHR users, effective beginning FY 2022. Accordingly, for FY 
2022, section 1886(b)(3)(B)(ix) of the Act in conjunction with section 
602(d) of Public Law 114-113 requires that any subsection (d) Puerto 
Rico hospital that is not a meaningful EHR user as defined in section 
1886(n)(3) of the Act and not subject to an exception under section 
1886(b)(3)(B)(ix) of the Act will have ``three-quarters'' of the 
applicable percentage increase (prior to the application of other 
statutory adjustments), or three-quarters of the applicable market 
basket rate-of-increase, reduced by 33\1/3\ percent. The reduction to 
three-quarters of the applicable percentage increase for subsection (d) 
Puerto Rico hospitals that are not meaningful EHR users increases to 
66\2/3\ percent for FY 2023, and, for FY 2024 and subsequent fiscal 
years, to 100 percent. (We note that section 1886(b)(3)(B)(viii) of the 
Act, which specifies the adjustment to the applicable percentage 
increase for ``subsection (d)'' hospitals that do not submit quality 
data under the rules established by the Secretary, is not applicable to 
hospitals located in Puerto Rico.) The regulations at 42 CFR 
412.64(d)(3)(ii) reflect the current law for the update for subsection 
(d) Puerto Rico hospitals for FY 2022 and subsequent fiscal years. In 
the FY 2019 IPPS/LTCH PPS final rule, we finalized the payment 
reductions (83 FR 41674).
    For FY 2026, consistent with section 1886(b)(3)(B) of the Act, as 
amended by section 602 of Public Law 114-113, we are setting the 
applicable percentage increase for Puerto Rico hospitals by applying 
the following adjustments in the following sequence. Specifically, the 
applicable percentage increase under the IPPS for Puerto Rico hospitals 
will be equal to the rate of-increase in the hospital market basket for 
IPPS hospitals in all areas, subject to a reduction of three-quarters 
of the applicable percentage increase (prior to the application of 
other statutory adjustments; also referred to as the market basket 
update or rate-of-increase (with no adjustments)) for Puerto Rico 
hospitals not considered to be meaningful EHR users in accordance with 
section 1886(b)(3)(B)(ix) of the Act, and then subject to the 
productivity adjustment at section 1886(b)(3)(B)(xi) of the Act. As 
noted previously, section 1886(b)(3)(B)(xi) of the Act states that 
application of the productivity adjustment may result in the applicable 
percentage increase being less than zero.
    Based on IGI's fourth quarter 2024 forecast of the proposed 2023-
based IPPS market basket update with historical data through third 
quarter 2024, for this FY 2026 IPPS/LTCH PPS proposed rule, in 
accordance with section 1886(b)(3)(B) of the Act, as discussed 
previously, for Puerto Rico hospitals we are proposing a market basket 
update of 3.2 percent less a productivity adjustment of 0.8 percentage 
point. Therefore, for FY 2026, depending on whether a Puerto

[[Page 18268]]

Rico hospital is a meaningful EHR user, there are two possible 
applicable percentage increases that could be applied to the 
standardized amount. Based on these data, we determined the following 
proposed applicable percentage increases to the standardized amount for 
FY 2026 for Puerto Rico hospitals:
     For a Puerto Rico hospital that is a meaningful EHR user, 
we are proposing a FY 2026 applicable percentage increase to the 
operating standardized amount of 2.4 percent (that is, the FY 2026 
estimate of the proposed market basket rate-of-increase of 3.2 percent 
less 0.8 percentage point for the proposed productivity adjustment).
     For a Puerto Rico hospital that is not a meaningful EHR 
user, we are proposing a FY 2026 applicable percentage increase to the 
operating standardized amount of 0.0 percent (that is, the FY 2026 
estimate of the proposed market basket rate-of-increase of 3.2 percent, 
less an adjustment of 2.4 percentage points (the proposed market basket 
rate-of-increase of 3.2 percent x 0.75 for failure to be a meaningful 
EHR user), and less 0.8 percentage point for the proposed productivity 
adjustment).
    As noted previously, we are proposing that if more recent data 
subsequently become available, we would use such data, if appropriate, 
to determine the FY 2026 market basket update and the productivity 
adjustment for the FY 2026 IPPS/LTCH PPS final rule.

   Table VI.B-02--Proposed FY 2026 Applicable Percentage Increases for
                  Puerto Rico Hospitals Under the IPPS
------------------------------------------------------------------------
                                   Hospital is a
             FY 2026              meaningful  EHR    Hospital is NOT a
                                        user        meaningful  EHR user
------------------------------------------------------------------------
Proposed Market Basket Rate-of-               3.2                    3.2
 Increase.......................
Proposed Adjustment for Failure               0.0                   -2.4
 to be a Meaningful EHR User
 under Section 1886(b)(3)(B)(ix)
 of the Act.....................
Proposed Productivity Adjustment             -0.8                   -0.8
 under Section 1886(b)(3)(B)(xi)
 of the Act.....................
Proposed Applicable Percentage                2.4                    0.0
 Increase Applied to
 Standardized Amount............
------------------------------------------------------------------------

C. Rural Referral Centers (RRCs) Annual Updates to Case-Mix Index (CMI) 
and Discharge Criteria (Sec.  412.96)

    Under the authority of section 1886(d)(5)(C)(i) of the Act, the 
regulations at 42 CFR 412.96 set forth the criteria that a hospital 
must meet in order to qualify under the IPPS as a rural referral center 
(RRC). RRCs receive special treatment under both the DSH payment 
adjustment and the criteria for geographic reclassification.
    Section 402 of the Medicare Prescription Drug, Improvement, and 
Modernization Act of 2003 (Pub. L. 108-173) raised the DSH payment 
adjustment for RRCs such that they are not subject to the 12-percent 
cap on DSH payments that is applicable to other rural hospitals. RRCs 
also are not subject to the proximity criteria when applying for 
geographic reclassification. In addition, they do not have to meet the 
requirement that a hospital's average hourly wage must exceed, by a 
certain percentage, the average hourly wage of the labor market area in 
which the hospital is located.
    Section 4202(b) of the Balanced Budget Act of 1997 (Pub. L. 105-33) 
states, in part, that any hospital classified as an RRC by the 
Secretary for FY 1991 shall be classified as such an RRC for FY 1998 
and each subsequent fiscal year. In the August 29, 1997, IPPS final 
rule with comment period (62 FR 45999 through 46000), we reinstated RRC 
status for all hospitals that lost that status due to triennial review 
or MGCRB reclassification. However, we did not reinstate the status of 
hospitals that lost RRC status because they were now urban for all 
purposes because of the OMB designation of their geographic area as 
urban. Subsequently, in the August 1, 2000, IPPS final rule (65 FR 
47087), we indicated that we were revisiting that decision. 
Specifically, we stated that we would permit hospitals that previously 
qualified as an RRC and lost their status due to OMB redesignation of 
the county in which they are located from rural to urban, to be 
reinstated as an RRC. Otherwise, a hospital seeking RRC status must 
satisfy all of the other applicable criteria. We use the definitions of 
``urban'' and ``rural'' specified in subpart D of 42 CFR part 412. One 
of the criteria under which a hospital may qualify as an RRC is to have 
275 or more beds available for use (42 CFR 412.96(b)(1)(ii)). A rural 
hospital that does not meet the bed size requirement can qualify as an 
RRC if the hospital meets two mandatory prerequisites (a minimum case-
mix index (CMI) and a minimum number of discharges), and at least one 
of three optional criteria (relating to specialty composition of 
medical staff, source of inpatients, or referral volume). (We refer 
readers to 42 CFR 412.96(c)(1) through (5) and the September 30, 1988, 
Federal Register (53 FR 38513) for additional discussion.) With respect 
to the two mandatory prerequisites, a hospital may be classified as an 
RRC if the hospital's--
     CMI is at least equal to the lower of the median CMI for 
urban hospitals in its census region, excluding hospitals with approved 
teaching programs, or the median CMI for all urban hospitals 
nationally; and
     Number of discharges is at least 5,000 per year, or, if 
fewer, the median number of discharges for urban hospitals in the 
census region in which the hospital is located. The number of 
discharges criterion for an osteopathic hospital is at least 3,000 
discharges per year, as specified in section 1886(d)(5)(C)(i) of the 
Act.
    In the FY 2022 IPPS/LTCH PPS final rule (86 FR 45217), in light of 
the COVID-19 PHE, we amended the regulations at 42 CFR 412.96(h)(1) to 
provide for the use of the best available data rather than the latest 
available data in calculating the national and regional CMI criteria. 
We also amended the regulations at 42 CFR 412.96(c)(1) to indicate that 
the individual hospital's CMI value for discharges during the same 
Federal fiscal year used to compute the national and regional CMI 
values is used for purposes of determining whether a hospital qualifies 
for RRC classification. We also amended the regulations 42 CFR 
412.96(i)(1) and (2), which describe the methodology for calculating 
the number of discharges criteria, to provide for the use of the best 
available data rather than the latest available or most recent data 
when calculating the regional discharges for RRC classification.
1. Case-Mix Index (CMI)
    Section 412.96(c)(1) provides that CMS establish updated national 
and regional CMI values in each year's annual notice of prospective 
payment

[[Page 18269]]

rates for purposes of determining RRC status. The methodology we used 
to determine the national and regional CMI values is set forth in the 
regulations at 42 CFR 412.96(c)(1)(ii). The proposed national median 
CMI value for FY 2026 is based on the CMI values of all urban hospitals 
nationwide, and the proposed regional median CMI values for FY 2026 are 
based on the CMI values of all urban hospitals within each census 
region, excluding those hospitals with approved teaching programs (that 
is, those hospitals that train residents in an approved GME program as 
provided in 42 CFR 413.75). These proposed values are based on 
discharges occurring during FY 2024 (October 1, 2023, through September 
30, 2024), and include bills posted to CMS' records through December 
2024. We believe that this is the best available data for use in 
calculating the proposed national and regional median CMI values and is 
consistent with our proposal to use of the FY 2024 MedPAR claims data 
for FY 2026 ratesetting.
    In this FY 2026 IPPS/LTCH PPS proposed rule, we are proposing that, 
in addition to meeting other criteria, if rural hospitals with fewer 
than 275 beds are to qualify for initial RRC status for cost reporting 
periods beginning on or after October 1, 2025, they must have a CMI 
value for FY 2024 that is at least--
     1.7802 (national--all urban); or
     The median CMI value (not transfer-adjusted) for urban 
hospitals (excluding hospitals with approved teaching programs as 
identified in 42 CFR 413.75) calculated by CMS for the census region in 
which the hospital is located.
    The proposed median CMI values by region are set forth in the 
following table. We intend to update the proposed CMI values in the FY 
2026 IPPS/LTCH PPS final rule to reflect the updated FY 2024 MedPAR 
file, which will contain data from additional bills received through 
March 2025.

------------------------------------------------------------------------
                                                      Proposed case-mix
                       Region                            index value
------------------------------------------------------------------------
1. New England (CT, ME, MA, NH, RI, VT)............                1.499
2. Middle Atlantic (PA, NJ, NY)....................              1.56165
3. East North Central (IL, IN, MI, OH, WI).........               1.6175
4. West North Central (IA, KS, MN, MO, NE, ND, SD).              1.73965
5. South Atlantic (DE, DC, FL, GA, MD, NC, SC, VA,                 1.635
 WV)...............................................
6. East South Central (AL, KY, MS, TN).............               1.5901
7. West South Central (AR, LA, OK, TX).............              1.78085
8. Mountain (AZ, CO, ID, MT, NV, NM, UT, WY).......               1.8092
9. Pacific (AK, CA, HI, OR, WA)....................               1.7793
------------------------------------------------------------------------

    A hospital seeking to qualify as an RRC should obtain its hospital-
specific CMI value (not transfer-adjusted) from its MAC. Data are 
available on the Provider Statistical and Reimbursement (PS&R) System. 
In keeping with our policy on discharges, the CMI values are computed 
based on all Medicare patient discharges subject to the IPPS MS-DRG-
based payment.
2. Discharges
    Section 412.96(c)(2)(i) provides that CMS set forth the national 
and regional numbers of discharges criteria in each year's annual 
notice of prospective payment rates for purposes of determining RRC 
status. As specified in section 1886(d)(5)(C)(ii) of the Act, the 
national standard is set at 5,000 discharges. For FY 2026, we are 
proposing to update the regional standards based on discharges for 
urban hospitals' cost reporting periods that began during FY 2023 (that 
is, October 1, 2022, through September 30, 2023), which are the latest 
cost report data available at the time this proposed rule was 
developed. We believe that this is the best available data for use in 
calculating the proposed median number of discharges by region and is 
consistent with our data proposal to use cost report data from cost 
reporting periods beginning during FY 2023 for FY 2026 rate setting. 
Therefore, we are proposing that, in addition to meeting other 
criteria, a hospital, if it is to qualify for initial RRC status for 
cost reporting periods beginning on or after October 1, 2025, must 
have, as the number of discharges for its cost reporting period that 
began during FY 2023, at least--
     5,000 (3,000 for an osteopathic hospital); or
     If less, the median number of discharges for urban 
hospitals in the census region in which the hospital is located. We 
refer readers to the proposed number of discharges as set forth in the 
following table. We intend to update these numbers in the FY 2026 final 
rule based on the latest available cost report data.

------------------------------------------------------------------------
                                                        Proposed number
                        Region                           of discharges
------------------------------------------------------------------------
1. New England (CT, ME, MA, NH, RI, VT)..............              8,903
2. Middle Atlantic (PA, NJ, NY)......................              9,844
3. East North Central (IL, IN, MI, OH, WI)...........              7,762
4. West North Central (IA, KS, MN, MO, NE, ND, SD)...              7,614
5. South Atlantic (DE, DC, FL, GA, MD, NC, SC, VA,                10,919
 WV).................................................
6. East South Central (AL, KY, MS, TN)...............              8,315
7. West South Central (AR, LA, OK, TX)...............              5,911
8. Mountain (AZ, CO, ID, MT, NV, NM, UT, WY).........              8,048
9. Pacific (AK, CA, HI, OR, WA)......................              8,932
------------------------------------------------------------------------

    We note that because the median number of discharges for hospitals 
in each census region is greater than the national standard of 5,000 
discharges, under this proposed rule, 5,000 discharges is the minimum 
criterion for all hospitals, except for osteopathic hospitals for which 
the minimum criterion is 3,000 discharges.

[[Page 18270]]

D. Proposed Payment Adjustment for Low-Volume Hospitals (Sec.  412.101)

1. Background
    Section 1886(d)(12) of the Act provides for an additional payment 
to each qualifying low-volume hospital under the IPPS beginning in FY 
2005. The low-volume hospital payment adjustment is implemented in the 
regulations at 42 CFR 412.101. The additional payment adjustment to a 
low-volume hospital provided for under section 1886(d)(12) of the Act 
is in addition to any payment calculated under section 1886 of the Act 
and is based on the per discharge amount paid to the qualifying 
hospital. In other words, the low-volume hospital payment adjustment is 
based on total per discharge payments made under section 1886 of the 
Act, including capital, DSH, IME, and outlier payments. For SCHs and 
MDHs, the low-volume hospital payment adjustment is based in part on 
either the Federal rate or the hospital-specific rate, whichever 
results in a greater operating IPPS payment. The payment adjustment for 
low-volume hospitals is not budget neutral.
    As discussed in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69348 
through 69352), Section 306 of the Consolidated Appropriations Act, 
2024 (CAA, 2024) (Pub. L. 118-42), extended the temporary changes to 
the low-volume hospital qualifying criteria and payment adjustment 
under the IPPS, that is the modified definition of low-volume hospital 
and the methodology for calculating the payment adjustment for low-
volume hospitals under section 1886(d)(12), through December 31, 2024. 
Section 3201 of the American Relief Act, 2025 (Pub. L. 118-158), 
further extended those temporary changes through March 31, 2025. Most 
recently, section 2201 of the Full-Year Continuing Appropriations and 
Extensions Act, 2025 (Pub. L. 119-4), enacted on March 15, 2025, 
provides an extension of those temporary changes to the qualifying 
criteria and payment adjustment methodology for certain low-volume 
hospitals through September 30, 2025. Absent further Congressional 
action, beginning October 1, 2025, the low-volume hospital qualifying 
criteria and payment adjustment are set to revert to the statutory 
requirements that were in effect prior to FY 2011, and the preexisting 
low-volume hospital payment adjustment methodology and qualifying 
criteria, as implemented in FY 2005 and discussed later in this 
section, will resume. We discuss the payment policies for FY 2026, in 
section V.D.3. of the preamble of this proposed rule.

  Table V.D.-01--Low-Volume Hospital Qualifying Criteria and Payment Adjustment for FYs 2019 and Subsequent FYs
----------------------------------------------------------------------------------------------------------------
                                              Road        Total
               Fiscal years                  miles     discharges                 Payment adjustment
----------------------------------------------------------------------------------------------------------------
2019 through 2025.........................      >15           <=500  0.25.
                                                        >500 <3,800  0.25-[0.25/3300] x (number of total
                                                                      discharges-500) = (95/330)-(number of
                                                                      total discharges/13,200).
2026 and subsequent years.................      >25            <200  0.25.
----------------------------------------------------------------------------------------------------------------

2. Extension of Temporary Changes to Low-Volume Hospital Payment 
Definition and Payment Adjustment Methodology and Conforming Changes to 
Regulations
    As discussed previously, prior to the enactment of the American 
Relief Act, 2025, the temporary changes to the low-volume hospital 
qualifying criteria and payment adjustment provided by section 306 of 
CAA, 2024 were set to expire on January 1, 2025. Section 3201 of the 
American Relief Act, 2025 extended the temporary changes to the low-
volume hospital qualifying criteria and payment adjustment under the 
IPPS for the portion of FY 2025 beginning on January 1, 2025, and 
ending on March 31, 2025 (that is, for discharges occurring before 
April 1, 2025). We note that we address the extension provided by 
section 3201 of the American Relief Act, 2025, in Change Request 13949 
(Transmittal 13035), issued January 6, 2025. For additional 
information, please refer to the transmittal https://www.cms.gov/medicare/regulations-guidance/transmittals/2025-transmittals/r13035otn. 
Subsequently, section 2201 of the Full-Year Continuing Appropriations 
and Extensions Act, 2025 further extended the temporary changes to the 
low-volume hospital qualifying criteria and payment adjustment under 
the IPPS for the remainder of FY 2025 (that is, for discharges 
occurring before October 1, 2025). We note the extension provided by 
section 2201 of the Full-Year Continuing Appropriations and Extensions 
Act, 2025 will be addressed in forthcoming guidance.
    Under section 1886(d)(12)(C)(i) of the Act, as amended by the Full-
Year Continuing Appropriations and Extensions Act, 2025, for FYs 2019 
through FY 2025, a subsection (d) hospital qualifies as a low-volume 
hospital if it is more than 15 road miles from another subsection (d) 
hospital and has less than 3,800 total discharges during the fiscal 
year. In accordance with the existing regulations at Sec.  412.101(a), 
we define the term ``road miles'' to mean ``miles'' as defined at Sec.  
412.92(c)(1). Under section 1886(d)(12)(D) of the Act, as amended, for 
discharges occurring in FYs 2019 through 2025, the Secretary determines 
the applicable percentage increase using a continuous, linear sliding 
scale ranging from an additional 25 percent payment adjustment for low-
volume hospitals with 500 or fewer discharges to a zero percent 
additional payment for low volume hospitals with more than 3,800 
discharges in the fiscal year. Consistent with the requirements of 
section 1886(d)(12)(C)(ii) of the Act, the term ``discharge'' for 
purposes of these provisions refers to total discharges, regardless of 
payer (that is, Medicare and non-Medicare discharges).
    In the FY 2019 IPPS/LTCH PPS final rule (83 FR 41399), we specified 
a continuous, linear sliding scale formula to determine the low volume 
payment adjustment, as reflected in the regulations at Sec.  
412.101(c)(3)(ii). Consistent with the statute, we provided that 
qualifying hospitals with 500 or fewer total discharges will receive a 
low-volume hospital payment adjustment of 25. For qualifying hospitals 
with fewer than 3,800 discharges but more than 500 discharges, the low-
volume payment adjustment is calculated by subtracting from 25 percent 
the proportion of payments associated with the discharges in excess of 
500. For qualifying hospitals with fewer than 3,800 total discharges 
but more than 500 total discharges, the low-volume hospital payment 
adjustment is calculated using the formula at Sec.  412.101(c)(3)(ii) 
(which

[[Page 18271]]

is shown in the Table V.D.-01). For this purpose, the term 
``discharge'' refers to total discharges, regardless of payer (that is, 
Medicare and non-Medicare discharges). The hospital's most recently 
submitted cost report is used to determine if the hospital meets the 
discharge criterion to receive the low volume payment adjustment in the 
current year (Sec.  412.101(b)(2)(iii)). The low-volume hospital 
payment adjustment for FYs 2019 through 2024 and the portion of FY 2025 
beginning on October 1, 2024, and ending on December 31, 2024, is set 
forth in the current regulations at Sec.  412.101(c)(3).
    In this proposed rule, we propose to make conforming changes to the 
regulation text in Sec.  412.101 to reflect the extensions of the 
changes to the qualifying criteria and the payment adjustment 
methodology for low-volume hospitals in accordance with provisions of 
the American Relief Act, 2025 and the Full-Year Continuing 
Appropriations and Extensions Act, 2025. Specifically, we propose to 
make conforming changes to paragraphs (b)(2)(iii) and (c)(3) 
introductory text of Sec.  412.101 to reflect that the low-volume 
hospital payment adjustment policy in effect through FY 2025 is the 
same low-volume hospital payment adjustment policy in effect for FYs 
2019 through December 31, 2024 (as described in the FY 2019 IPPS/LTCH 
PPS final rule (83 FR 41398 through 41399) and in the FY 2025 IPPS/LTCH 
final rule (89 FR 69348 through 69352)). In addition, in accordance 
with the provisions of the Full-Year Continuing Appropriations and 
Extensions Act, 2025, we propose to make conforming changes to 
paragraphs (b)(2)(i) and (c)(1) of Sec.  412.101 to reflect that for FY 
2026 and subsequent fiscal years, the low-volume hospital payment 
adjustment policy will revert back to the low-volume hospital payment 
adjustment policy in effect for FYs 2005 through 2010, as described in 
section V.D.3. of the preamble of this proposed rule. We further 
propose that if the temporary changes to the low-volume payment 
adjustment are extended through legislation beyond September 30, 2025, 
we would make the conforming changes to the regulations at Sec.  
412.101(b)(2)(i) and (iii) and (c)(1) and (3) to reflect any further 
extension.
3. Payment Adjustment for FY 2026 and Subsequent Fiscal Years
    In accordance with section 1886(d)(12) of the Act, as amended by 
section 2201 of the Full-Year Continuing Appropriations and Extensions 
Act, 2025, beginning with discharges occurring on or after October 1, 
2025, the low-volume hospital definition and payment adjustment 
methodology will revert to the statutory requirements that were in 
effect prior to the amendments made by the Affordable Care Act and 
subsequent legislation. Specifically, section 1886(d)(12)(B) of the Act 
requires, for discharges occurring in FYs 2005 through 2010 and for 
discharges occurring in FY 2026 and subsequent years, that the 
Secretary determine an applicable percentage increase for these low-
volume hospitals based on the ``empirical relationship'' between the 
standardized cost-per-case for such hospitals and the total number of 
discharges of such hospitals and the amount of the additional 
incremental costs (if any) that are associated with such number of 
discharges. The statute thus mandates that the Secretary develop an 
empirically justifiable adjustment based on the relationship between 
costs and discharges for these low-volume hospitals.
    Therefore, absent further Congressional action, effective FY 2026 
and subsequent years, under current policy at Sec.  412.101(b), to 
qualify as a low-volume hospital, a subsection (d) hospital must be 
more than 25 road miles from another subsection (d) hospital and have 
less than 200 discharges (that is, less than 200 discharges total, 
including both Medicare and non-Medicare discharges) during the fiscal 
year. For FY 2026 and subsequent years, the statute specifies that a 
low-volume hospital must have less than 800 discharges during the 
fiscal year. However, as required by section 1886(d)(12)(B)(i) of the 
Act, the Secretary has developed an empirically justifiable payment 
adjustment based on the relationship, for IPPS hospitals with less than 
800 discharges, between the additional incremental costs (if any) that 
are associated with a particular number of discharges. Based on an 
analysis we conducted for the FY 2005 IPPS final rule (69 FR 49099 
through 49102), a 25-percent low-volume adjustment to all qualifying 
hospitals with less than 200 discharges was found to be most consistent 
with the statutory requirement to provide relief for low-volume 
hospitals where there is empirical evidence that higher incremental 
costs are associated with low numbers of total discharges. (Under the 
policy we established in that same final rule, hospitals with between 
200 and 799 discharges do not receive a low-volume hospital 
adjustment.)
    As discussed previously, for FYs 2005 through 2010 and FY 2019 and 
subsequent years, the discharge determination is made based on the 
hospital's number of total discharges, that is, Medicare and non-
Medicare discharges. The hospital's most recently submitted cost report 
is used to determine if the hospital meets the discharge criterion to 
receive the low-volume payment adjustment in the current year (Sec.  
412.101(b)(2)(i)). We use cost report data to determine if a hospital 
meets the discharge criterion because this is the best available data 
source that includes information on both Medicare and non-Medicare 
discharges. We note that, for FYs 2011 through 2018, we used the most 
recently available MedPAR data to determine the hospital's Medicare 
discharges because only Medicare discharges were used to determine if a 
hospital met the discharge criterion for those years.
    In addition to the discharge criterion, a hospital must also meet 
the mileage criterion to qualify for the low-volume payment adjustment. 
As specified by section 1886(d)(12)(C)(i) of the Act, a low-volume 
hospital must be more than 25 road miles (or 15 road miles for FYs 2011 
through 2025) from another subsection (d) hospital. Accordingly, for FY 
2026 and subsequent fiscal years, in addition to the discharge 
criterion, the eligibility for the low-volume payment adjustment is 
also dependent upon the hospital meeting the mileage criterion at Sec.  
412.101(b)(2)(i), which specifies that a hospital must be located more 
than 25 road miles from the nearest subsection (d) hospital, consistent 
with section 1886(d)(12)(C)(i) of the Act. We define, at Sec.  
412.101(a), the term ``road miles'' to mean ``miles'' as defined at 
Sec.  412.92(c)(1) (75 FR 50238 through 50275 and 50414). As previously 
noted, we propose to make conforming changes to paragraphs (b)(2)(i) 
and (c)(1) of Sec.  412.101 to reflect that for FY 2026 and subsequent 
fiscal years, the low-volume hospital payment adjustment policy is the 
same as that in effect for FYs 2005 through 2010.
4. Process for Requesting and Obtaining the Low-Volume Hospital Payment 
Adjustment for FY 2026
    In the FY 2011 IPPS/LTCH PPS final rule (75 FR 50238 through 50275 
and 50414) and subsequent rulemaking, most recently in the FY 2025 
IPPS/LTCH PPS final rule (89 FR 69348 through 69352), we discussed the 
process for requesting and obtaining the low-volume hospital payment 
adjustment. Under this previously established process, a hospital makes 
a written request for the low-volume payment adjustment under Sec.  
412.101 to its MAC. This request must contain sufficient documentation 
to establish that the hospital meets the applicable mileage and 
discharge criteria. The MAC will determine if the hospital

[[Page 18272]]

qualifies as a low-volume hospital by reviewing the data the hospital 
submits with its request for low-volume hospital status in addition to 
other available data. Under this approach, a hospital will know in 
advance whether or not it will receive a payment adjustment under the 
low-volume hospital policy. The MAC and CMS may review available data 
such as the number of discharges, in addition to the data the hospital 
submits with its request for low-volume hospital status, to determine 
whether or not the hospital meets the qualifying criteria. (For 
additional information on our existing process for requesting the low-
volume hospital payment adjustment, we refer readers to the FY 2019 
IPPS/LTCH PPS final rule (83 FR 41399 through 41401).)
    As explained earlier, for FY 2019 and subsequent fiscal years, the 
discharge determination is made based on the hospital's number of total 
discharges, that is, Medicare and non-Medicare discharges, as was the 
case for FYs 2005 through 2010. Under Sec.  412.101(b)(2)(i) and (iii), 
a hospital's most recently submitted cost report is used to determine 
if the hospital meets the discharge criterion to receive the low-volume 
payment adjustment in the current year. As discussed in the FY 2019 
IPPS/LTCH PPS final rule (83 FR 41399 and 41400), we use cost report 
data to determine if a hospital meets the discharge criterion because 
this is the best available data source that includes information on 
both Medicare and non-Medicare discharges. (For FYs 2011 through 2018, 
the most recently available MedPAR data were used to determine the 
hospital's Medicare discharges because non-Medicare discharges were not 
used to determine if a hospital met the discharge criterion for those 
years.) Therefore, a hospital must refer to its most recently submitted 
cost report for total discharges (Medicare and non-Medicare) to decide 
whether or not to apply for low-volume hospital status for a particular 
fiscal year.
    In addition to the discharge criterion, eligibility for the low-
volume hospital payment adjustment is also dependent upon the hospital 
meeting the applicable mileage criterion specified in section 
1886(d)(12)(C)(i) of the Act, which is codified at Sec.  412.101(b)(2), 
for the fiscal year. To meet the mileage criterion to qualify for the 
low-volume hospital payment adjustment for FY 2026, a hospital must be 
located more than 25 road miles from the nearest subsection (d) 
hospital. (We define in Sec.  412.101(a) the term ``road miles'' to 
mean ``miles'' as defined in Sec.  412.92(c)(1) (75 FR 50238 through 
50275 and 50414).) For establishing that the hospital meets the mileage 
criterion, the use of a web-based mapping tool as part of the 
documentation is acceptable. The MAC will determine if the information 
submitted by the hospital, such as the name and street address of the 
nearest hospital(s), location on a map, and distance from the hospital 
requesting low-volume hospital status, is sufficient to document that 
it meets the mileage criterion. If not, the MAC will follow up with the 
hospital to obtain additional necessary information to determine 
whether or not the hospital meets the applicable mileage criterion.
    In accordance with our previously established process, a hospital 
must make a written request for low-volume hospital status that is 
received by its MAC by September 1 immediately preceding the start of 
the Federal fiscal year for which the hospital is applying for low-
volume hospital status in order for the applicable low-volume hospital 
payment adjustment to be applied to payments for its discharges for the 
fiscal year beginning on or after October 1 immediately following the 
request (that is, the start of the Federal fiscal year). For a hospital 
whose request for low-volume hospital status is received after 
September 1, if the MAC determines the hospital meets the criteria to 
qualify as a low-volume hospital, the MAC will apply the applicable 
low-volume hospital payment adjustment to determine payment for the 
hospital's discharges for the fiscal year, effective prospectively 
within 30 days of the date of the MAC's low-volume status 
determination.
    Consistent with this previously established process, for FY 2026, 
we are proposing that a hospital must submit a written request for low-
volume hospital status to its MAC that includes sufficient 
documentation to establish that the hospital meets the applicable 
mileage and discharge criteria (as described earlier). Specifically, 
for FY 2026, a hospital must make a written request for low-volume 
hospital status that is received by its MAC no later than September 1, 
2025, in order for the 25-percent, low-volume, add-on payment 
adjustment to be applied to payments for its discharges beginning on or 
after October 1, 2025. If a hospital's written request for low-volume 
hospital status for FY 2026 is received after September 1, 2025, and if 
the MAC determines the hospital meets the criteria to qualify as a low-
volume hospital, the MAC would apply the low-volume hospital payment 
adjustment to determine the payment for the hospital's FY 2026 
discharges, effective prospectively within 30 days of the date of the 
MAC's low-volume hospital status determination.
    Under this process, a hospital that qualified for the low-volume 
hospital payment adjustment for FY 2025, may continue to receive a low-
volume hospital payment adjustment for FY 2026 without reapplying if it 
meet both the discharge criterion and the mileage criterion applicable 
for FY 2026 (that is, the preexisting low-volume hospital qualifying 
criteria as implemented in FY 2005 and specified in the existing 
regulations at Sec.  412.101(b)(2)(i), as discussed previously). In 
such a case, we propose that the hospital must send written 
verification that is received by its MAC no later than September 1, 
2025, stating that it meets the mileage criterion for FY 2026, 
consistent with our process in previous years. If a hospital's request 
for low-volume hospital status for FY 2026 is received after September 
1, 2025, and if the MAC determines the hospital meets the criteria to 
qualify as a low-volume hospital, the MAC will apply the applicable 
low-volume add-on payment adjustment to determine the payment for the 
hospital's discharges for the applicable portion of FY 2026, effective 
prospectively within 30 days of the date of the MAC's low-volume 
hospital status determination.

E. Proposed Changes in the Medicare-Dependent, Small Rural Hospital 
(MDH) Program (Sec.  412.108)

1. Background for the MDH Program
    Section 1886(d)(5)(G) of the Act provides special non-budget 
neutral payment protections, under the IPPS, to a Medicare-dependent, 
small rural hospital (MDH). MDHs are paid for their hospital inpatient 
services based on the higher of the Federal rate or a blended rate 
based in part on the Federal rate and in part on the MDH's hospital 
specific rate. (For additional information on the MDH program and the 
payment methodology, we refer readers to the FY 2012 IPPS/LTCH PPS 
final rule (76 FR 51683 through 51684).) Section 2202 of the Full-Year 
Continuing Appropriations and Extensions Act, 2025 (Pub. L. 119-4), 
enacted on March 15, 2025, extended the MDH program through September 
30, 2025 (that is, for discharges occurring before October 1, 2025). 
Prior to enactment of the Full-Year Continuing Appropriations and 
Extensions Act, 2025, the MDH program was only to be in effect for FY 
2025 discharges occurring before April 1, 2025. Under current law, the 
MDH program provisions at section 1886(d)(5)(G) of the Act will expire 
for

[[Page 18273]]

discharges on or after October 1, 2025. Beginning with discharges 
occurring on or after October 1, 2025, absent further Congressional 
action, all hospitals that previously qualified for MDH status will be 
paid based on the Federal rate.
    Since the extension of the MDH program through FY 2012 provided by 
section 3124 of the Affordable Care Act, the MDH program had been 
extended by subsequent legislation as follows: section 606 of the 
American Taxpayer Relief Act (Pub. L. 112-240) extended the MDH program 
through FY 2013 (that is, for discharges occurring before October 1, 
2013). Section 1106 of the Pathway for SGR Reform Act of 2013 (Pub. L. 
113-67) extended the MDH program through the first half of FY 2014 
(that is, for discharges occurring before April 1, 2014). Section 106 
of the Protecting Access to Medicare Act (Pub. L. 113-93) extended the 
MDH program through the first half of FY 2015 (that is, for discharges 
occurring before April 1, 2015). Section 205 of the MACRA (Pub. L. 114-
10) extended the MDH program through FY 2017 (that is, for discharges 
occurring before October 1, 2017). Section 50205 of the Bipartisan 
Budget Act (Pub. L. 115-123) extended the MDH program through FY 2022 
(that is for discharges occurring before October 1, 2022). Section 102 
of the Continuing Appropriations and Ukraine Supplemental 
Appropriations Act, 2023 (Pub. L. 117-180) extended the MDH program 
through December 16, 2022. Section 102 of the Further Continuing 
Appropriations and Extensions Act, 2023 (Pub. L. 117-229) extended the 
MDH program through December 23, 2022. Section 4102 of the Consolidated 
Appropriations Act, 2023 (Pub. L. 117-328) extended the MDH program 
through FY 2024 (that is for discharges occurring before October 1, 
2024). Section 307 of the CAA, 2024 (Pub. L. 118-42) extended the MDH 
program through December 31, 2024 (that is, for discharges occurring 
before January 1, 2025). Section 3202 of the American Relief Act, 2025 
(Pub. L. 118-158) extended the MDH program through March 31, 2025 (that 
is, for discharges occurring before April 1, 2025). Lastly, under 
current law, section 2202 of the Full-Year Continuing Appropriations 
and Extensions Act, 2025 (Pub. L. 119-4) extended the MDH program 
through September 30, 2025 (that is, for discharges occurring before 
October 1, 2025).
    For additional information on the extensions of the MDH program 
after FY 2012, we refer readers to the following Federal Register 
documents: The FY 2013 IPPS/LTCH PPS final rule (77 FR 53404 through 
53405 and 53413 through 53414); the FY 2013 IPPS notice (78 FR 14689); 
the FY 2014 IPPS/LTCH PPS final rule (78 FR 50647 through 50649); the 
FY 2014 interim final rule with comment period (79 FR 15025 through 
15027); the FY 2014 notice (79 FR 34446 through 34449); the FY 2015 
IPPS/LTCH PPS final rule (79 FR 50022 through 50024); the August 2015 
interim final rule with comment period (80 FR 49596); the FY 2017 IPPS/
LTCH PPS final rule (81 FR 57054 through 57057); the FY 2018 notice (83 
FR 18303 through 18305); the FY 2019 IPPS/LTCH PPS final rule (83 FR 
41429); the FY 2024 IPPS/LTCH PPS final rule (88 FR 59045); and the FY 
2025 IPPS/LTCH PPS final rule (89 FR 69352).
2. Implementation of Legislative Extension of MDH Program
    Prior to the enactment of Public Law 119-4, under section 3202 of 
Public Law 118-158, the MDH program authorized by section 1886(d)(5)(G) 
of the Act was set to expire on April 1, 2025. Section 2202 of Public 
Law 119-4 amended sections 1886(d)(5)(G)(i) and 1886(d)(5)(G)(ii)(II) 
of the Act by striking ``April 1, 2025'' and inserting ``October 1, 
2025''. Section 2202 of Public Law 119-4 also made conforming 
amendments to sections 1886(b)(3)(D)(i) and 1886(b)(3)(D)(iv) of the 
Act.
    Therefore, we are proposing to make conforming changes to the 
regulations governing the MDH program at Sec.  412.108(a)(1) and 
(c)(2)(iii) and the general payment rules at Sec.  412.90(j) to reflect 
the extension of the MDH program through September 30, 2025.
    As a result of the extension of the MDH program through September 
30, 2025, as provided by section 2202 of Public Law 119-4, a provider 
that was classified as an MDH as of March 31, 2025, will continue to be 
classified as an MDH as of April 1, 2025, with no need to reapply for 
MDH classification. We addressed the extension provided by section 3202 
of the American Relief Act, 2025, in Change Request 13949 (Transmittal 
13035), issued January 6, 2025. For additional information, please 
refer to the transmittal https://www.cms.gov/medicare/regulations-guidance/transmittals/2025-transmittals/r13035otn. We intend to address 
the extension provided by section 2202 of the Full-Year Continuing 
Appropriations and Extensions Act, 2025 in forthcoming guidance.
3. Expiration of the MDH Program
    Because section 2202 of the Full-Year Continuing Appropriations and 
Extensions Act, 2025 extended the MDH program through September 30, 
2025, only, beginning October 1, 2025, the MDH program will no longer 
be in effect. Since the MDH program is not authorized by statute beyond 
September 30, 2025, absent Congressional action, beginning October 1, 
2025, all hospitals that previously qualified for MDH status under 
section 1886(d)(5)(G) of the Act will no longer have MDH status and 
will be paid based on the Federal rate.
    When the MDH program was set to expire at the end of FY 2012, in 
the FY 2013 IPPS/LTCH PPS final rule (77 FR 53404 through 53405), we 
revised our sole community hospital (SCH) policies to allow MDHs to 
apply for SCH status in advance of the expiration of the MDH program 
and be paid as such under certain conditions. We codified these changes 
in the regulations at Sec.  412.92(b)(2)(i) and (v). For additional 
information, we refer readers to the FY 2013 IPPS/LTCH PPS final rule 
(77 FR 53404 through 53405 and 53674). We note that a MDH that 
classifies as a SCH in anticipation of the MDH program expiration would 
have to reapply for MDH classification in accordance with the 
regulations at 42 CFR 412.108(b) and meet the classification criteria 
at 42 CFR 412.108(a) in the event that the MDH program is further 
extended and the provider wishes to return to its classification as a 
MDH.
    As noted, we are proposing to make conforming changes to the 
regulations governing the MDH program at Sec.  412.108(a)(1) and 
(c)(2)(iii) and the general payment rules at Sec.  412.90(j) to reflect 
the extension of the MDH program through September 30, 2025. We are 
further proposing that if the MDH program were to be extended by law 
beyond September 30, 2025, similar to how it was extended by prior 
legislation as described previously, we would, depending on timing of 
such legislation in relation to the final rule, modify our proposed 
conforming changes to the regulations governing the MDH program at 
Sec.  412.108(a)(1) and (c)(2)(iii) and the general payment rules at 
Sec.  412.90(j) to reflect any such further extension of the MDH 
program. These modifications to our proposed conforming changes would 
only be made if the MDH program were to be extended by statute beyond 
September 30, 2025.

F. Payment for Indirect and Direct Graduate Medical Education Costs 
(Sec. Sec.  412.105 and 413.75 Through 413.83)

1. Background
    Section 1886(h) of the Act, as added by section 9202 of the 
Consolidated Omnibus Budget Reconciliation Act (COBRA) of 1985 (Pub. L. 
99-272) and

[[Page 18274]]

as currently implemented in the regulations at 42 CFR 413.75 through 
413.83, establishes a methodology for determining payments to hospitals 
for the direct costs of approved graduate medical education (GME) 
programs. Section 1886(h)(2) of the Act sets forth a methodology for 
the determination of a hospital-specific base-period per resident 
amount (PRA) that is calculated by dividing a hospital's allowable 
direct costs of GME in a base period by its number of full-time 
equivalent (FTE) residents in the base period. The base period is, for 
most hospitals, the hospital's cost reporting period beginning in FY 
1984 (that is, October 1, 1983, through September 30, 1984). The base 
year PRA is updated annually for inflation.
    In general, Medicare direct GME payments are calculated by 
multiplying the hospital's updated PRA by the weighted number of FTE 
residents working in all areas of the hospital complex (and at non-
provider sites, when applicable), and the hospital's Medicare share of 
total inpatient days. Section 1886(d)(5)(B) of the Act provides for a 
payment adjustment known as the indirect medical education (IME) 
adjustment under the IPPS for hospitals that have residents in an 
approved GME program, in order to account for the higher indirect 
patient care costs of teaching hospitals relative to nonteaching 
hospitals. The regulations regarding the calculation of this additional 
payment are located at 42 CFR 412.105. The hospital's IME adjustment 
applied to the DRG payments is calculated based on the ratio of the 
hospital's number of FTE residents training in either the inpatient or 
outpatient departments of the IPPS hospital (and, for discharges 
occurring on or after October 1, 1997, at non-provider sites, when 
applicable) to the number of inpatient hospital beds.
    The calculation of both direct GME payments and the IME payment 
adjustment is affected by the number of FTE residents that a hospital 
is allowed to count. Generally, the greater the number of FTE residents 
a hospital counts, the greater the amount of Medicare direct GME and 
IME payments the hospital will receive. In an attempt to end the 
implicit incentive for hospitals to increase the number of FTE 
residents, Congress established a limit on the number of allopathic and 
osteopathic residents that a hospital could include in its FTE resident 
count for direct GME and IME payment purposes in the Balanced Budget 
Act of 1997 (Pub. L. 105-33). Under section 1886(h)(4)(F) of the Act, 
for cost reporting periods beginning on or after October 1, 1997, a 
hospital's unweighted FTE count of residents for purposes of direct GME 
cannot exceed the hospital's unweighted FTE count for direct GME in its 
most recent cost reporting period ending on or before December 31, 
1996. Under section 1886(d)(5)(B)(v) of the Act, a similar limit based 
on the FTE count for IME during that cost reporting period is applied, 
effective for discharges occurring on or after October 1, 1997. Dental 
and podiatric residents are not included in this statutorily mandated 
cap.
2. Calculating Full-Time Equivalent Counts and Caps for Cost Reporting 
Periods Other Than Twelve Months
    CMS's full-time equivalent (FTE) counting regulations, as 
established in the September 29, 1989, Federal Register (54 FR 40291), 
specify that no individual should be counted as more than one FTE, and 
that FTE status is based on the total time necessary to fill a 
residency slot and the share of total time spent training at each 
training site (see 42 CFR 412.105(f)(1)(iii)(A) for IME and 42 CFR 
413.78(b)(1) for DGME). The requirements for what constitutes full-time 
participation may vary from specialty to specialty, or among different 
programs in the same specialty. Additionally, full-time equivalency may 
be computed based on various increments, such as hours, days, weeks, or 
months, in order for a hospital to obtain the full-time equivalent 
which it is allowed to count.
    Full-time equivalency for each resident is computed by determining 
the portion of total allowable training time that may be claimed by 
each hospital. In general, these data are sourced from a ``master'' 
rotation schedule for each approved residency program. Each rotation 
may consist of both allowable and non-allowable training time. For 
example, the time that a resident spends in a hospital's distinct-part 
unit is allowable to the hospital for purposes of DGME, but not for 
purposes of IME, while time spent in research activities at an offsite 
nonpatient care facility is not allowable for either DGME or IME. 
Additionally, a hospital cannot claim the time spent by residents 
training at another hospital. Consistent with the regulations at 42 CFR 
413.75(d), hospitals that cross-train residents in the same program 
need to agree on the method of computing FTEs to ensure that no 
resident is counted as more than one FTE.
    For purposes of completing the Medicare cost report (Worksheet E, 
Part A, for IME and Worksheet E-4 for DGME of Form CMS-2552-10), full-
time equivalency is typically calculated on the basis of 365 days (or 
366 days, in the case of a leap year) for DGME versus the actual number 
of days in the cost reporting period for IME. Thus, for a standard 12-
month cost reporting period, there is no difference in the calculation 
of the DGME and IME FTE counts.
    In the case of a cost reporting period other than 12 months in 
length, the statute for both DGME and IME instructs the Secretary to 
make ``appropriate modifications'' to ensure that the FTE counts are 
based on the equivalent of 12 months. Specifically, for DGME, section 
1886(h)(4)(G)(ii) states that if any cost reporting period beginning on 
or after October 1, 1997, is not equal to 12 months, the Secretary 
shall make appropriate modifications to ensure that the average full-
time equivalent resident counts pursuant to section 1886(h)(4)(G)(i) 
are based on the equivalent of full 12-month cost reporting periods. 
Similarly, for IME, section 1886(d)(5)(B)(vii) states that if any cost 
reporting period beginning on or after October 1, 1997, is not equal to 
12 months, the Secretary shall make appropriate modifications to ensure 
that the average full-time equivalent residency count pursuant to 
section 1886(d)(5)(B)(vi)(II) is based on the equivalent of full 12-
month cost reporting periods.
    The procedures for determining the total DGME and IME FTE counts 
for a non-12-month cost reporting period reflect the underlying 
differences in the two payment methodologies. A hospital's DGME count 
represents the number of FTE residents working in the healthcare 
complex over the course of an entire cost reporting period, and the 
total DGME payment is based on the hospital's PRA, which reflects the 
average costs incurred per resident during a 12-month base period or 
equivalent (see discussion at 54 FR 40290). Accordingly, the DGME FTE 
count must be prorated to reflect the length of a short or long cost 
reporting period, as illustrated in the following section of this 
preamble. By contrast, the IME adjustment reflects the average 
intensity of teaching activity in a hospital at any given time, and the 
total IME payment is based on the hospital's DRG payments during a cost 
reporting period. Because the size of a hospital's DRG payments already 
reflects the amount of patient care furnished during a short or long 
cost reporting period, it is not necessary to prorate the IME FTE count 
in the same manner as the DGME FTE count.
    Similarly, as explained below, proration must be applied to a 
hospital's

[[Page 18275]]

DGME FTE cap (but not the IME FTE cap) to account for a non-12-month 
cost reporting period, as well as to the prior- and penultimate-year 
DGME FTE counts (but not the IME FTE counts) for the purpose of 
calculating the three-year rolling average FTE count. We also note 
that, while these methodological distinctions become apparent in the 
context of calculating the counts and caps for a non-12-month cost 
reporting period, they are equally applicable in the case of a standard 
12-month cost reporting period.
    While CMS's FTE counting policy is long-established and widely used 
in existing cost reporting software and the Intern and Resident 
Information System (IRIS) software, we are taking the opportunity to 
restate and clarify our FTE counting policy in rulemaking. We are not 
proposing any changes to the FTE counting policy at this time.
a. Calculating FTE Counts
    To determine the unweighted FTE count for DGME, whether or not the 
cost reporting period is 12 months, or more or less, the following 
steps should be used:
     For each resident and each of that resident's individual 
rotations, determine the ratio of total days allowable to the hospital 
in that rotation, to total days in that entire rotation, consistent 
with the regulations at 42 CFR 413.78.
     Multiply the ratio from Step 1 by the ratio of (total days 
in the entire rotation divided by 365) (or 366, in the case of a leap 
year).\224\ This represents the portion of total FTE time for this 
rotation that may be claimed by the hospital for purposes of DGME 
payment, prorated for the length of the cost reporting period.
---------------------------------------------------------------------------

    \224\ 366 days should be used when the cost reporting period 
includes February 29.
---------------------------------------------------------------------------

     Calculate the sum of the products from Step 2 for all 
residents and rotations in the hospital's programs to arrive at the 
hospital's total unweighted DGME FTE count for the cost reporting 
period.
    Stated formulaically:

Unweighted DGME FTE count = Sum of [(Allowable days in a rotation/Total 
days in the rotation) x (Total days in the rotation/365)]

    Note: This portion of the FTE calculation is not weighted for 
years outside of the Initial Residency Period, as the application of 
weighting factors is a separate step in the calculation of DGME 
payment on the cost report. See 42 CFR 413.79(a) for more 
information about the Initial Residency Period.

    Example: A resident worked in a rotation at Hospital A for 4 weeks 
(28 days) but spent 1 week (7 days) offsite engaged in non-patient care 
research.
     Step 1: Consistent with the DGME regulations, the total 
time allowable to Hospital A for this rotation is 21 days. The ratio is 
(21 days/28 days) = 0.75.
     Step 2: The portion of total FTE time for this rotation 
that Hospital A may claim for purposes of DGME payment is 0.75 x (28/
365) = 0.06 FTE. (Note: In the case of a leap year, divide by 366 
days.)
     Step 3: Repeat Steps 1 and 2 for all residents and 
rotations in the hospital's programs, and sum the results from Step 2 
to arrive at Hospital A's total unweighted DGME FTE count for the cost 
reporting period.
    As stated above, 365 or 366 days is used as the denominator in Step 
2 of the calculation regardless of the actual number of days in the 
cost reporting period. Thus, in computing the DGME FTE count, the 
length of the cost reporting period can affect the full-time 
equivalency determined for a given number of residents training at the 
hospital. For example, there would be fewer total rotations in a 3-
month cost reporting period than in a 12-month period, and thus a 
commensurately smaller DGME count calculated in accordance with the 
procedure outlined above.
    Note that the hospital's updated PRA is always used and is not 
prorated, as it represents that hospital's average cost to train an FTE 
resident determined in a base period, and is not dependent upon the 
length of cost reporting periods subsequent to the PRA base period.
    In this manner, the DGME FTE count continues to be based on the 
``equivalent of 12 months,'' as required by section 1886(h)(4)(G)(ii) 
of the Act. This procedure is performed to determine the total 
unweighted DGME FTE count on Form CMS-2552-10, Worksheet E-4, line 6 
and line 7, as well as for the weighted FTE counts on lines 8 through 
11, lines 15 and 16, and lines 21 and 22. For lines that record 
weighted FTE counts, the appropriate weighting factors are applied 
consistent with the regulations at 42 CFR 413.79(a).
    As mentioned above, the procedure for determining the 12-month 
equivalent IME FTE count, in accordance with section 1886(d)(5)(B)(vii) 
of the Act, is different in that the number of days used in the 
denominator of the calculation in Step 2 depends on the length of the 
cost reporting period. For 12-month cost reporting periods, a 
denominator of 365 days is used (or 366 days in the case of a leap 
year), while for cost reporting periods of different lengths, the 
denominator is equal to the actual number of days in the cost reporting 
period. The resulting FTE count represents the average number of 
residents in the hospital at any given time, and in turn is multiplied 
by the DRG payments in that same cost reporting period to obtain the 
hospital's total IME payment.
    Accordingly, to determine the FTE count for IME, whether or not the 
cost reporting period is 12 months, or more or less, the following 
steps should be used:
     For each resident and each of that resident's individual 
rotations, determine the ratio of total days allowable to the hospital 
in that rotation, to total days in that entire rotation, consistent 
with the regulations at 42 CFR 412.105(f).
     Multiply the ratio from Step 1 by the ratio of (total days 
in the entire rotation divided by the actual number of days in the cost 
reporting period). This represents the portion of total FTE time for 
this rotation that may be claimed by the hospital for purposes of IME 
payment.
     Calculate the sum of the products from Step 2 for all 
residents and rotations in the hospital's programs to arrive at the 
hospital's total IME FTE count for the cost reporting period.
    Stated formulaically:

IME FTE count = Sum of [(Allowable days in a rotation/Total days in the 
rotation) x (Total days in the rotation/Days in cost reporting period)]
Example 1: 12-Month Cost Reporting Period (365 Days)
    A resident worked in a rotation at Hospital A for 4 weeks (28 days) 
but spent 1 week (7 days) offsite engaged in non-patient care research.
    Step 1: Consistent with the IME regulations, the total time 
allowable to Hospital A for this rotation is 21 days. The ratio is (21 
days/28 days) = 0.75.
    Step 2: The portion of total FTE time for this rotation that 
Hospital A may claim for purposes of IME payment is 0.75 x (28/365) = 
0.06 FTE. (Note: In the case of a leap year, divide by 366 days.)
    Step 3: Repeat Steps 1 and 2 for all residents and rotations in the 
hospital's programs, and sum the results from Step 2 to arrive at 
Hospital A's total IME FTE count for the cost reporting period.
Example 2: 3-Month Cost Reporting Period (92 Days)
    During a 92-day cost reporting period, a resident worked in a 
rotation at Hospital A for 4 weeks (28 days) but

[[Page 18276]]

spent 1 week (7 days) offsite engaged in non-patient care research.
    Step 1: Consistent with the IME regulations, the total time 
allowable to Hospital A for this rotation is 21 days. The ratio is (21 
days/28 days) = 0.75.
    Step 2: The portion of total FTE time for this rotation that 
Hospital A may claim for purposes of IME payment is 0.75 x (28/92) = 
0.23 FTE.
    Step 3: Repeat Steps 1 and 2 for all residents and rotations in the 
hospital's programs, and sum the results from Step 2 to arrive at 
Hospital A's total IME FTE count for the 3-month cost reporting period.
    Consistent with the regulations at 42 CFR 412.105(b), the bed count 
used in the denominator of the intern and resident to bed (IRB) ratio 
is determined by counting the number of available bed days during the 
cost reporting period and dividing that number by the number of days in 
the cost reporting period.
    While the IME FTE count itself is not prorated, the final amount of 
a hospital's IME payment nonetheless will be commensurate with the cost 
reporting period by virtue of the total amount of its DRG payments, 
which will generally increase or decrease as a result of the length of 
the period. For example, if a cost reporting period is 12 months long, 
the DRG payments by which the IME adjustment factor is multiplied to 
derive the total IME payment will also reflect 12 months of patient 
care. By contrast, the DRG payments for the 3-month (or 92-day) cost 
reporting period in Example 2 would reflect just 3 months of patient 
care.
    This procedure is performed to determine the total IME FTE count on 
Form CMS-2552-10, Worksheet E, Part A, lines 10 through 12, as well as 
the FTE counts on lines 16 and 17 and lines 24 and 25.
b. Calculating FTE Caps for Cost Reporting Periods Other Than Twelve 
Months
    Just as the DGME FTE counts are prorated on the basis of a standard 
365- or 366-day cost reporting period, a hospital's DGME FTE cap must 
similarly be prorated for cost reporting periods other than 12 months 
in length. To calculate the prorated cap, the hospital's regular 12-
month DGME FTE cap is divided by 365 days (or 366 days, in the case of 
a leap year) and then multiplied by the actual number of days in the 
cost reporting period. For example, if a hospital has a regular DGME 
FTE cap of 270 FTEs, then the prorated DGME cap for a 3-month cost 
reporting period with 92 days would be: (270/365) x (92) = 68.05 FTEs. 
(If the hospital subsequently had a 9-month cost report with 273 days, 
the DGME FTE cap for the 9-month cost report would be calculated as 
follows: (270/365) x (273) = 201.95 FTEs. Note that 68.05 + 201.95 = 
270, equivalent to the total DGME cap for 12 months (totals may be 
slightly off due to rounding)). Proration applies similarly to all 
lines on Worksheet E-4 that are associated with the FTE cap, including 
lines 1 through 5 and line 20.
    For reasons similar to those explained above in the discussion of 
the FTE counts, it is not necessary to prorate the IME FTE caps for a 
non-12-month cost reporting period; the same IME FTE cap and any 
associated cap adjustments apply to a cost reporting period that is 
less than or more than 12 months.
c. Calculating the Three-Year Rolling Average for Cost Reporting 
Periods of Unequal Lengths
    Sections 1886(d)(5)(B)(vi)(II) and 1886(h)(4)(G)(i) of the Act 
require that a hospital's FTE counts for IME and DGME payment, 
respectively, in the current cost reporting period be based on a three-
year rolling average. That is, the FTE counts in the current cost 
reporting period, prior cost reporting period, and penultimate cost 
reporting period are summed, then divided by 3. These provisions phase 
in any reductions or increases in payment over a three-year period for 
hospitals that experience a change in the number of residents they 
train. The regulations are at 42 CFR 412.105(f)(1)(v) for IME and 42 
CFR 413.79(d)(3) for DGME.
    For reasons similar to those discussed above, no adjustments need 
to be made to the prior and penultimate years when calculating the 
rolling average IME count. However, if the current, prior and/or 
penultimate year cost reporting periods are of different lengths, 
adjustments must be made to the respective DGME FTE counts so that the 
rolling average is based on quantities that are comparable with one 
another. Accordingly, if the current cost reporting period is other 
than 12 months in length, the prior- and penultimate-year DGME FTE 
counts must be prorated, yielding 3 years of comparable FTE counts from 
which to calculate the rolling average:
    For the prior year, take the FTE count that would be reported on 
Worksheet E-4, line 12, and divide by 365 (or 366, if the prior year 
cost reporting period includes February 29), and then multiply that 
quotient by the number of days in the current non-12-month cost 
reporting period. Report this prorated FTE count on Worksheet E-4, line 
12, of the current year cost report.
    For the penultimate year, take the FTE count that would be reported 
on Worksheet E-4, line 13, and divide by 365 (or 366, if the 
penultimate year cost reporting period includes February 29), and then 
multiply that quotient by the number of days in the current non-12-
month cost reporting period. Report this prorated FTE count on 
Worksheet E-4, line 13, of the current year cost report.
    Stated formulaically:

Prorated DGME FTE count = [(Total annual DGME FTE count/365 or 366) x 
(Number of days in current cost reporting period)]

    For example, if the current year cost reporting period is 3 months 
(92 days), while the prior year cost reporting period was 12 months, 
and the hospital's total capped DGME FTE count in the prior year was 
300, then the prorated FTE count for the prior year would be: [(300/
365) x (92)] = 75.62. That is, a DGME FTE count of 300 in a 12-month 
cost reporting period would be the equivalent of 75.62 FTEs in the 
current year 3-month cost reporting period. On the current year cost 
report, the hospital would enter 75.62 on line 12 of Worksheet E-4 
(prior year FTE count). If the total capped DGME FTE count in the 
penultimate cost reporting period was 302, and the penultimate year was 
also 12 months, then the prorated FTE count for the penultimate year 
would be: [(302/365) x (92)] = 76.12. On the current year cost report, 
the hospital would enter 76.12 on line 13 of Worksheet E-4 (penultimate 
year FTE count).
    We note that in this scenario, if either the prior or penultimate 
year cost reporting period was also other than 12 months in length, 
then it would be necessary to adjust the calculation to account for 
that difference. For instance, suppose that the hospital's penultimate 
year cost reporting period was 9 months or 273 days long, and its 
capped DGME FTE count during that period (prorated on a 12-month basis 
as described earlier in this preamble) was 225. In this case, rather 
than dividing by 365 days, the hospital would divide the penultimate-
year DGME FTE count by 273 days, as follows: [(225/273) x (92)] = 75.82 
FTEs. Thus, the hospital would enter 75.82 on line 13 of Worksheet E-4 
of the current year cost report.
    Conversely, if the current year is a full cost reporting period, 
but the prior and/or penultimate cost reporting period was other than 
12 months, then the prior and/or penultimate year DGME FTE counts 
(which have been prorated on a 12-month basis as described earlier

[[Page 18277]]

in this preamble) must be annualized to yield 12-month equivalents. 
This procedure avoids understatement (or overstatement) of the DGME FTE 
count in the current year and, similar to the proration of DGME counts 
in the preceding scenario, results in 3 years of comparable FTE counts 
from which to calculate the DGME rolling average:
    For the prior year, take the FTE count that would be reported on 
Worksheet E-4, line 12, and divide by the number of days in the non-12-
month cost reporting period, and then multiply that quotient by 365 (or 
366, if the current cost reporting period includes February 29). Report 
this annualized FTE count on Worksheet E-4, line 12 of, the current 
year cost report.
    For the penultimate year, take the FTE count that would be reported 
on Worksheet E-4, line 13, and divide by the number of days in the non-
12-month cost reporting period, and then multiply that quotient by 365 
(or 366, if the current cost reporting period includes February 29). 
Report this annualized FTE count on Worksheet E-4, line 13 of the 
current year cost report.
    Stated formulaically:

Annualized DGME FTE count = [(Prorated DGME FTE count/Number of days in 
the non-12-month cost reporting period) x (365 or 366)]

    For example, if the current year cost reporting period is 12 months 
(365 days), while the prior year cost reporting period was 3 months (92 
days), and the prior-year capped DGME FTE count (prorated on a 12-month 
basis) was 75, then the annualized FTE count for the prior year would 
be: [(75/92) x (365)] = 297.55. On the current year cost report, the 
hospital would enter 297.55 on line 12 of Worksheet E-4 (prior year FTE 
count).
3. Notice of Closure of Teaching Hospitals and Opportunity To Apply for 
Available Slots
    Section 5506 of the Patient Protection and Affordable Care Act 
(Pub. L. 111-148), as amended by the Health Care and Education 
Reconciliation Act of 2010 (Pub. L. 111-152) (collectively, 
``Affordable Care Act''), authorizes the Secretary to redistribute 
residency slots after a hospital that trained residents in an approved 
medical residency program closes. Section 5506 of the Affordable Care 
Act instructs the Secretary to establish a process by regulation that 
redistributes slots from teaching hospitals that close to hospitals 
that meet the certain criteria, with priority given to certain 
hospitals including those located in the same Core Based Statistical 
Area (CBSA), in a contiguous CBSA or in the same state as the closed 
hospital.
    Specifically, section 5506 of the Affordable Care Act amended the 
Act by adding subsection (vi) to section 1886(h)(4)(H) of the Act and 
modifying language at section 1886(d)(5)(B)(v) of the Act, to instruct 
the Secretary to establish a process to increase the FTE resident caps 
for other hospitals based upon the full-time equivalent (FTE) resident 
caps in teaching hospitals that closed on or after a date that is 2 
years before the date of enactment (that is, March 23, 2008). In the CY 
2011 Outpatient Prospective Payment System (OPPS) final rule with 
comment period (75 FR 72264), we established regulations at 42 CFR 
413.79(o) and an application process for qualifying hospitals to apply 
to CMS to receive direct GME and IME FTE resident cap slots from the 
hospital that closed. We made certain additional modifications to Sec.  
413.79 in the FY 2013 IPPS/LTCH PPS final rule (77 FR 53434), and we 
made changes to the section 5506 application process in the FY 2015 
IPPS/LTCH PPS final rule (79 FR 50122 through 50134). The procedures we 
established apply both to teaching hospitals that closed on or after 
March 23, 2008, and on or before August 3, 2010, and to teaching 
hospitals that close after August 3, 2010 (75 FR 72215).
a. Notice of Closure of Wahiawa General Hospital Located in Wahiawa, 
HI, and the Application Process--Round 24
    CMS has learned of the closure of Wahiawa General Hospital, located 
in Wahiawa, HI (CCN 120004). Accordingly, this notice serves to notify 
the public of the closure of this teaching hospital and initiate 
another round (``Round 24'') of the application and selection process. 
This round will be the 24th round (``Round 24'') of the application and 
selection process. The table in this section of this proposed rule 
contains the identifying information and IME and direct GME FTE 
resident caps for the closed teaching hospital, which are part of the 
Round 24 application process under section 5506 of the Affordable Care 
Act.

                            Table V.F.-01--Wahiawa General Hospital FTE Resident Caps
----------------------------------------------------------------------------------------------------------------
                                                                              IME FTE resident   Direct GME FTE
                                                                               cap (including     resident cap
    CCN       Provider name     City and state     CBSA   Terminating  date    MMA  (including  MMA Sec.
                                                                              adjustments \1\)  422 adjustments)
----------------------------------------------------------------------------------------------------------------
120004....  Wahiawa General   Wahiawa, HI......    46520  April 2, 2024....  11.67 + 5.49 sec.  12.11 + 2.20
             Hospital.                                                        422 increase =     sec. 422
                                                                              17.16 \2\.         increase =
                                                                                                 14.31.\3\
----------------------------------------------------------------------------------------------------------------
\1\ Section 422 of the MMA, Public Law 108-173, redistributed unused IME and direct GME residency slots
  effective July 1, 2005.
\2\ Wahiawa General Hospital's 1996 IME FTE resident cap is 11.67. Under section 422 of the MMA, the hospital
  received an increase of 5.49 to its IME FTE resident cap: 11.67 + 5.49 = 17.16.
\3\ Wahiawa General Hospital's 1996 direct GME FTE resident cap is 12.11. Under section 422 of the MMA, the
  hospital received an increase of 2.20 to its direct GME FTE resident cap: 12.11 + 2.20 = 14.31.

b. Notice of Closure of Carney Hospital Located in Boston, MA and the 
Application Process--Round 25
    CMS has learned of the closure of Carney Hospital, located in 
Boston, MA (CCN 220017). Accordingly, this notice serves to notify the 
public of the closure of this teaching hospital and initiate another 
round (``Round 25'') of the application and selection process. This 
round will be the 25th round (``Round 25'') of the application and 
selection process. The table in this section of this proposed rule 
contains the identifying information and IME and direct GME FTE 
resident caps for the closed teaching hospital, which are part of the 
Round 25 application process under section 5506 of the Affordable Care 
Act.

[[Page 18278]]



                                Table V.F.-02--Carney Hospital FTE Resident Caps
----------------------------------------------------------------------------------------------------------------
                                                                                                 Direct GME FTE
                                                                              IME FTE resident    resident cap
                                                                               cap (including   (including  MMA   minus> MMA Sec.
                                                   code                       Sec. 422 \1\ and  422 and ACA Sec.
                                                                             ACA Sec. 5503 \2\        5503
                                                                                adjustments)      adjustments)
----------------------------------------------------------------------------------------------------------------
220017....  Carney Hospital.  Boston, MA.......    14454  August 31, 2024..  73.00-9.78 sec.    73.00-10.16 sec.
                                                                              422 reduction-     422 reduction-
                                                                              0.07 sec. 5503     1.70 sec. 5503
                                                                              reduction =        reduction =
                                                                              63.15 \3\.         61.14.\4\
----------------------------------------------------------------------------------------------------------------
\1\ Section 422 of the MMA, Public Law 108-173, redistributed unused IME and direct GME residency slots
  effective July 1, 2005.
\2\ Section 5503 of the Affordable Care Act of 2010, Public Law 111-148 and Public Law 111-152, redistributed
  unused IME and direct GME residency slots effective July 1, 2011.
\3\ Carney Hospital's 1996 IME FTE resident cap is 73.00. Under section 422 of the MMA, the hospital received a
  reduction of 9.78 to its IME FTE resident cap, and under section 5503 of the Affordable Care Act, the hospital
  received a reduction of 0.07 to its IME FTE resident cap: 73.00-9.78-0.07 = 63.15.
\4\ Carney Hospital's 1996 direct GME FTE resident cap is 73.00. Under section 422 of the MMA, the hospital
  received a reduction of 10.16 to its direct GME FTE resident cap, and under section 5503 of the Affordable
  Care Act, the hospital received a reduction of 1.70 to its direct GME FTE resident cap: 73.00-10.16-1.70 =
  61.14.

c. Application Process for Available Resident Slots
    The application period for hospitals to apply for slots under 
section 5506 of the Affordable Care Act is 90 days following notice to 
the public of a hospital closure (77 FR 53436). Therefore, hospitals 
that wish to apply for and receive slots from the previously noted 
hospitals' FTE resident caps must submit applications using the 
electronic application intake system, Medicare Electronic Application 
Request Information SystemTM (MEARISTM), with 
application submissions for Round 24 and 25 due no later than July 10, 
2025. The section 5506 application can be accessed at: https://mearis.cms.gov/public/home.
    CMS will only accept Round 24 and 25 applications submitted via 
MEARISTM. Applications submitted through any other method 
will not be considered. Within MEARISTM, we have built in 
several resources to support applicants:
     Please refer to the ``Resources'' section for guidance 
regarding the application submission process at: https://mearis.cms.gov/public/resources.
     Technical support is available under ``Useful Links'' at 
the bottom of the MEARISTM web page.
     Application related questions can be submitted to CMS 
using the form available under ``Contact'' at: https://mearis.cms.gov/public/resources.
    Application submission through MEARISTM will not only 
help CMS track applications and streamline the review process, but it 
will also create efficiencies for applicants when compared to a paper 
submission process.
    We have not established a deadline by when CMS will issue the final 
determinations to hospitals that receive slots under section 5506 of 
the Affordable Care Act. However, we review all applications received 
by the application deadline and notify applicants of our determinations 
as soon as possible.
    We refer readers to the CMS Direct Graduate Medical Education 
(DGME) website at: https://www.cms.gov/medicare/payment/prospective-payment-systems/acute-inpatient-pps/direct-graduate-medical-education-dgme. Hospitals should access this website for a list of additional 
section 5506 guidelines for the policy and procedures for applying for 
slots, and the redistribution of the slots under sections 
1886(h)(4)(H)(vi) and 1886(d)(5)(B)(v) of the Act.

G. Reasonable Cost Payment for Nursing and Allied Health Education 
Programs (Sec.  413.85 and Sec.  413.87)

1. General
    Under section 1861(v) of the Act, Medicare has historically paid 
providers for Medicare's share of the costs that providers incur in 
connection with approved educational activities. The costs of these 
activities are excluded from the definition of ``inpatient hospital 
operating costs'' and are not included in the calculation of payment 
rates for hospitals or hospital units paid under the IPPS, IRF PPS, or 
IPF PPS, and are excluded from the rate-of-increase ceiling for certain 
facilities not paid on a PPS. These costs are separately identified and 
``passed through'' (that is, paid separately on a reasonable cost 
basis).
    Under the existing regulations at 42 CFR 413.85, approved nursing 
and allied health (NAH) education programs must meet State licensure 
requirements or be accredited by a recognized national professional 
organization. Additionally, an approved NAH education program must be 
operated by a provider. The most recent substantive rulemakings on 
these regulations were in the January 12, 2001, final rule (66 FR 3358 
through 3374), and in the August 1, 2003, final rule (68 FR 45423 and 
45434). The regulations regarding Medicare Advantage (MA) add-on 
payments for NAH education programs are at 42 CFR 413.87.
2. Medicare Advantage Nursing and Allied Health Education Payments
    Section 541 of the Balanced Budget Refinement Act (BBRA) of 1999 
provides for additional payments to hospitals for costs of nursing and 
allied health education associated with services to Medicare+Choice 
(now called Medicare Advantage (MA)) \225\ enrollees. Hospitals that 
operate approved nursing or allied health education programs and 
receive Medicare reasonable cost reimbursement for these programs may 
receive additional payments to account for MA enrollees. Section 541 of 
the BBRA limits total spending under the provision for MA enrollees to 
no more than $60 million in any calendar year (CY). (In this document, 
we refer to the total amount of $60 million or less as the payment 
``pool''.) Section 541 of the BBRA also provides that direct graduate 
medical education (GME) payments for Medicare+Choice (now MA) 
utilization be reduced to the extent that these additional payments are 
made for nursing and allied health education programs. This provision 
was effective for portions of cost reporting periods occurring in a 
calendar year, on or after January 1, 2000.
---------------------------------------------------------------------------

    \225\ The M+C program in Part C of Medicare was renamed the 
Medicare Advantage (MA) Program under the Medicare Prescription 
Drug, Improvement, and Modernization Act of 2003 (MMA), which was 
enacted in December 2003.
---------------------------------------------------------------------------

    Section 512 of the Benefits Improvement and Protection Act (BIPA) 
of 2000 changed the formula for determining the additional amounts to 
be paid to hospitals for Medicare+Choice (now MA) nursing and allied 
health costs. Under section 541 of the BBRA, the additional payment 
amount was determined based on the proportion of each individual 
hospital's nursing and allied health education payment to total nursing 
and allied health education payments made to all hospitals. However, 
this formula did not account for a hospital's specific Medicare+Choice 
(now MA) utilization. Section 512 of the BIPA revised this

[[Page 18279]]

payment formula to specifically account for each hospital's 
Medicare+Choice (now MA) utilization. This provision was effective for 
portions of cost reporting periods occurring in a calendar year, 
beginning with CY 2001.
    The regulations at 42 CFR 413.87 implement both statutory 
provisions. We first implemented the BBRA NAH Medicare+Choice (now MA) 
provision in the August 1, 2000, IPPS interim final rule with comment 
period (IFC) (65 FR 47036 through 47039), and subsequently implemented 
the BIPA provision in the August 1, 2001 IPPS final rule (66 FR 39909 
and 39910). In those rules, we outlined the qualifying conditions for a 
hospital to receive the NAH Medicare+Choice (now MA) payment, how we 
would calculate the NAH Medicare+Choice (now MA) payment pool, and how 
a qualifying hospital would calculate its ``share'' of payment from 
that pool. Determining a hospital's NAH MA payment essentially involves 
applying a ratio of the hospital-specific NAH Part A payments, total 
inpatient days, and MA inpatient days, to national totals of those same 
variables, from cost reporting periods ending in the fiscal year that 
is 2 years prior to the current calendar year. The formula is as 
follows:

(((Hospital NAH pass-through payment/Hospital Part A Inpatient Days) * 
(Hospital MA Inpatient Days))
divided by
((National NAH pass-through payment/National Part A Inpatient Days) * 
(National MA Inpatient Days))) * Current Year Payment Pool.

    With regard to determining the total national amounts for NAH pass-
through payment, Part A inpatient days, and MA inpatient days, we note 
that section 1886(l) of the Act, as added by section 541 of the BBRA, 
gives the Secretary the discretion to ``estimate'' the national 
components of the formula noted previously. For example, section 
1886(l)(2)(A) of the Act states that the Secretary shall estimate the 
ratio of payments for all hospitals for portions of cost reporting 
periods occurring in the year under section 1886(h)(3)(D) of the Act to 
total direct GME payments estimated for the same portions of periods 
under section 1886(h)(3) of the Act.
    Accordingly, we stated in the August 1, 2000, IFC (65 FR 47038) 
that each year, we would determine and publish in a final rule the 
total amount of nursing and allied health education payments made 
across all hospitals during the fiscal year 2 years prior to the 
current calendar year. We would use the best available cost reporting 
data for the applicable hospitals from the Hospital Cost Report 
Information System (HCRIS) for cost reporting periods in the fiscal 
year that is 2 years prior to the current calendar year.
    To calculate the pool, in accordance with section 1886(l) of the 
Act, we stated that we would ``estimate'' a total amount for each 
calendar year, not to exceed $60 million (65 FR 47038). To calculate 
the proportional reduction to Medicare+Choice (now MA) direct GME 
payments, we stated that the percentage is estimated by calculating the 
ratio of the Medicare+Choice nursing and allied health payment ``pool'' 
for the current calendar year to the projected total Medicare+Choice 
direct GME payments made across all hospitals for the current calendar 
year. We stated that the projections of Medicare+Choice direct GME and 
Part A direct GME payments are based on the best available cost report 
data from the HCRIS (for example, for CY 2000, the projections are 
based on the best available cost report data from FY 1998 HCRIS), and 
these payment amounts are increased using the increases allowed by 
section 1886(h) of the Act for these services (using the percentage 
applicable for the current calendar year for Medicare+Choice direct GME 
and the Consumer Price Index (CPI-U) increases for Part A direct GME). 
We also stated that we would publish the applicable percentage 
reduction each year in the IPPS proposed and final rules (65 FR 47038).
    Thus, in the August 1, 2000, IFC, we described our policy regarding 
the timing and source of the national data components for the NAH 
Medicare+Choice (now MA) add-on payment and the percent reduction to 
the direct GME Medicare+Choice payments, and we stated that we would 
publish the rates for each calendar year in the IPPS proposed and final 
rules. While the rates for CY 2000 were published in the August 1, 
2000, IFC (see 65 FR 47038 and 47039), the rates for subsequent CYs 
were only issued through Change Requests (CRs) (CR 2692, CR 11642, CR 
12407). After recent issuance of the CY 2019 rates in CR 12407 on 
August 19, 2021, we reviewed our update procedures, and were reminded 
that the August 1, 2000, IFC states that we would publish the NAH 
Medicare+Choice (now MA) rates and direct GME percent reduction every 
year in the IPPS rules. Accordingly, for CY 2020 and CY 2021, we 
proposed and finalized the NAH MA add-on rates in the FY 2023 IPPS/LTCH 
PPS proposed and final rules. We stated that for CYs 2022 and after, we 
would similarly propose and finalize the respective NAH MA rates and 
direct GME percent reductions in subsequent IPPS/LTCH PPS rulemakings 
(see 87 FR 49073, August 10, 2022).
    In this FY 2026 IPPS/LTCH PPS proposed rule, we are proposing the 
rates for CY 2024. Consistent with the use of HCRIS data for past 
calendar years, we are proposing to use data from cost reports ending 
in FY 2022 HCRIS (the fiscal year that is 2 years prior to CY 2024) to 
compile these national amounts: NAH pass-through payment, Part A 
Inpatient Days, MA Inpatient Days.
    For this proposed rule, we accessed the FY 2022 HCRIS data from the 
fourth quarterly HCRIS update of 2024. However, to calculate the 
``pool'' and the direct GME MA percent reduction, we ``project'' Part A 
direct GME payments and MA direct GME payments for the current calendar 
year, which in this proposed rule is CY 2024, based on the ``best 
available cost report data from the HCRIS'' (65 FR 47038). Next, 
consistent with the method we described previously in the August 1, 
2000, IFC, we increase these payment amounts from midpoint to midpoint 
of the appropriate calendar year using the increases allowed by section 
1886(h) of the Act for these services (using the percentage applicable 
for the current calendar year for MA direct GME, and the Consumer Price 
Index-Urban (CPI-U) increases for Part A direct GME). For CY 2024, the 
direct GME projections are based on the fourth quarterly update of CY 
2022 HCRIS, adjusted for the CPI-U and for increasing MA enrollment.
    For CY 2024, the proposed national rates and percentages, and their 
data sources, are set forth in this table. We intend to update these 
numbers in the FY 2026 final rule based on the latest available cost 
report data.

------------------------------------------------------------------------
 Proposed CY 2024 NAH MA rates     Proposed CY 2024          Source
------------------------------------------------------------------------
NAH Pass-Through...............          $281,853,426  Cost reports
                                                        ending in FY
                                                        2022 HCRIS.
Part A Inpatient Days..........            75,303,913  Cost reports
                                                        ending in FY
                                                        2022 HCRIS.
MA Inpatient Days..............            16,305,155  Cost reports
                                                        ending in FY
                                                        2022 HCRIS.
Part A Direct GME..............        $3,085,013,941  CY 2022 HCRIS +
                                                        CPI-U + MA
                                                        enrollment.

[[Page 18280]]

 
MA Direct GME..................        $2,565,628,319  CY 2022 HCRIS +
                                                        CPI-U + MA
                                                        enrollment.
Pool (not to exceed $60                   $60,000,000  ((MA DGME/Part A
 million).                                              DGME) * (NAH
                                                        Pass-through)).
Percent Reduction to MA DGME                    2.34%  Pool/MA direct
 Payments.                                              GME.
------------------------------------------------------------------------

3. Proposed Regulatory Changes Regarding the Calculation of Net Cost of 
NAH Education Programs (42 CFR 413.85(d)(2)(i) and (ii))
    In the January 12, 2001, final rule (66 FR 3358), we codified the 
payment regulations regarding NAH education program costs at 42 CFR 
413.85. With regard to determining the net costs which are allowed for 
``pass-through'' payment, 42 CFR 413.85(d)(2)(i) states that the net 
cost of approved educational activities is determined by deducting the 
revenues that a provider receives from tuition and student fees from 
the provider's total allowable educational costs that are directly 
related to approved educational activities. Section 413.85(d)(2)(ii) 
further states that a provider's total allowable educational costs are 
those costs incurred by the provider for trainee stipends, compensation 
of teachers, and other costs of the activities as determined under the 
Medicare cost-finding principles in Sec.  413.24. These costs do not 
include patient care costs, costs incurred by a related organization, 
or costs that constitute a redistribution of costs from an educational 
institution to a provider or costs that have been or are currently 
being provided through community support. Worksheet A of the Medicare 
cost report captures the direct costs associated with a hospital's 
various cost centers, including its NAH education programs. The direct 
costs associated with operating a hospital's approved NAH education 
programs are reported on Worksheet A, line 20 (nursing programs) and 
line 23 (paramedical/allied health education programs). The 
instructions to these lines state--

    Lines 20 and 23--If you have an approved nursing or allied 
health education program that meets the criteria of 42 CFR 
413.85(e), classroom and clinical portions of the costs may be 
allowable as pass-through costs as defined in 42 CFR 413.85(d)(2). . 
. . (CMS Pub. 15-2, section 4013)

    In addition to direct costs, hospitals also incur indirect or 
overhead costs associated with their operations. Overhead costs are 
assigned to the general service cost centers on lines 1 through 23 of 
Worksheet A, which are a hospital's non-patient care/non-revenue 
producing cost centers, and which include the Administrative & General 
(A&G) cost center on line 5. The general cost report instructions for 
Worksheet A state--

    Lines 1 through 23--These lines are for the general service cost 
centers. These costs are expenses incurred in operating the facility 
as a whole that are not directly associated with furnishing patient 
care such as, but not limited to mortgage, rent, plant operations, 
administrative salaries, utilities, telephone charges, computer 
hardware and software costs, etc. General service cost centers 
furnish services to both general service areas and to other cost 
centers in the provider (emphasis added).

    Because the costs of operating a hospital's NAH education programs 
are not directly associated with furnishing patient care, these cost 
centers are also included among the general service cost centers on 
Worksheet A. As noted in the cost report instructions cited previously, 
general service cost centers may furnish services to other general 
service areas. Thus, for example, a hospital's Administrative and 
General cost center may furnish services to its Nursing and Allied 
Health Education cost centers.
    The regulations and cost report instructions require that, prior to 
allocating overhead costs to the revenue producing cost centers, a 
provider must make appropriate reclassifications and adjustments to its 
direct costs. Worksheet A-6 is used to reclassify costs between cost 
centers on the cost report, while Worksheet A-8 is used to adjust both 
a provider's revenue producing and non-revenue producing cost centers, 
and remove non-allowable costs. The cost report instructions for 
Worksheet A-8 state, in relevant part--

    Types of adjustments entered on this worksheet include (1) those 
needed to adjust expenses to reflect actual expenses incurred; (2) 
those items which constitute recovery of expenses through sales, 
charges, fees, etc.; (3) those items needed to adjust expenses in 
accordance with the Medicare principles of reimbursement; and (4) 
those items which are provided for separately in the cost 
apportionment process (emphasis added). (CMS Pub. 15-2, section 
4016.)

    Adjustments, including the recovery of expenses through various 
forms of revenue, occur prior to cost finding, which is the process by 
which indirect costs (that is, the costs of the general service cost 
centers) are allocated to other cost centers (both other general 
service cost centers and revenue producing cost centers). Worksheets B, 
Part I, and B-1 have been designed to accommodate the stepdown method 
of cost finding described at 42 CFR 413.24(d)(1). Certain other cost 
adjustments, referred to as post-stepdown adjustments, occur after the 
allocation of indirect and overhead costs and are reported separately 
on Worksheet B-2.
    On November 17, 2017, CMS issued Transmittal 12, which contained 
updates to the hospital cost report instructions at CMS-2552-10, Pub. 
15-2, chapter 40. It added the following instructions to line 19 of 
Worksheet A-8:

    Line 19--For each NAHE program on Worksheet A, line 20, and its 
subscripts, and Worksheet A, line 23, and its subscripts, enter the 
revenue adjustments (for tuition, fees, books, etc.) to be applied 
against total allowable costs that are directly related to the 
approved NAHE activities. Subscript this line to separately report 
the revenue offset for each NAHE program reported on line 20 and 
line 23. (See CMS Pub. 15-1, chapter 4, Sec.  414, and 42 CFR 
413.85(d)(2)(i).)

    Transmittal 12 also added to Worksheet B-2 specific instructions 
for post-stepdown adjustments for certain costs associated with NAHE 
non-provider-operated programs under 42 CFR 413.85(g)(2), with the 
following note:

    Note: Do not use this worksheet to reduce the total allowable 
costs that are directly related to the NAHE programs by the revenue 
received from tuition and student fees. Use Worksheet A-8 to offset 
NAHE program costs by tuition and student fees (42 CFR 
413.85(d)(2)(i)). Do not use a post step-down adjustment.

    By issuing these cost report clarifications in Transmittal 12, CMS 
was clarifying the rules regarding ensuring the appropriate order of 
operations for allocations and post-stepdown adjustments of overhead to 
the NAH education pass-through cost centers. Specifically, Transmittal 
12 made it clear that adjustments to the direct costs of NAH education 
programs as a result of revenue received from tuition, student fees and 
other sources should occur on Worksheet A-8, prior to the allocation of 
overhead costs, and not as post-stepdown adjustments on Worksheet B-2.
    On February 9, 2024, the U.S. District Court for the District of 
Columbia (D.C.) issued a decision involving five plaintiff hospitals 
(Mercy Health--St. Vincent

[[Page 18281]]

Medical Center LLC d/b/a Mercy St. Vincent Medical Center, et al., v. 
Xavier Becerra, Case No. 22-cv-3578 (TNM)). The providers disputed the 
order of operations for determining ``net costs'' under 42 CFR 
413.85(d)(2)(i). The providers disagreed with the instructions in 
Transmittal 12, and argued that the offsets for revenue from tuition 
and student fees should be made after indirect costs are allocated, 
using Worksheet B-2, which follows the allocation of indirect costs on 
Worksheet B, Part I. According to the providers, the regulations 
require that indirect costs be included as part of a provider's total 
allowable educational costs before tuition and student fees are offset, 
and the change to the cost reporting instructions in 2017 was a change 
in policy that conflicts with the regulations.
    The U.S. District Court for D.C. sided with the providers, arguing 
that the plain reading of the regulations text at 42 CFR 
413.85(d)(2)(i) is consistent with the providers' interpretation of the 
order of operations, which is to allow direct and indirect costs to be 
summed, and tuition and fees to be subtracted from that sum. We 
disagree with the Court's ruling and assert that the cost report 
instructions at PRM 15-2 sec. 4016 are clear that revenue that is a 
recovery of expenses should be offset via Worksheet A-8, prior to the 
allocation of indirect costs, and that these instructions are 
consistent with the regulations and Medicare cost reporting policy 
broadly.
    Nevertheless, in order to further clarify the regulations, we are 
proposing to change the regulations text at 42 CFR 413.85(d)(2)(i) to 
state that the net cost of approved educational activities is 
determined as follows:
     Determine allowable direct costs incurred by the provider 
for trainee stipends and compensation of teachers employed by the 
provider.
     Subtract from allowable direct costs the revenues the 
provider receives from students or on behalf of students enrolled in 
the program, such as, but not limited to, tuition, student fees, or 
textbooks purchased for resale.
     Add indirect costs of the activities as determined under 
the Medicare cost-finding principles in 42 CFR 413.24, but limited to 
indirect costs that the provider itself incurs as a consequence of 
operating the approved educational activities.
    We note that as a result of this proposal, we would be modifying 
and moving the first sentence of existing 42 CFR 413.85(d)(2)(ii), 
which defines a provider's total allowable educational costs as those 
costs incurred by the provider for trainee stipends, compensation of 
teachers, and other costs of the activities as determined under the 
Medicare cost-finding principles in Sec.  413.24, up to proposed 42 CFR 
413.85(d)(2)(i). However, we are not proposing to revise the portion of 
existing regulations text at 42 CFR 413.85(d)(2)(ii) which states that 
the direct and indirect allowable costs of educational activities do 
not include patient care costs, costs incurred by a related 
organization, or costs that constitute a redistribution of costs from 
an educational institution to a provider or costs that have been or are 
currently being provided through community support.
    The effective date of this proposed regulatory change would be cost 
reporting periods beginning on or after October 1, 2025.
    We understand that it is not uncommon for a provider's total 
revenues from tuition, student fees and other sources to exceed the 
provider's allowable direct costs of its nursing and allied health 
education programs. If the default method of cost allocation is used, 
the adjustments occurring on Worksheet A-8 would reduce the overhead 
costs apportioned to the nursing program or allied health education 
program cost centers. This is because the default statistical basis for 
allocating administrative and general costs to other cost centers is 
accumulated cost, which in this case would be zero. However, to 
mitigate this reduction of indirect costs, providers that directly 
incur legitimate overhead costs as a result of the operation of their 
NAH education programs have options under current regulations to seek 
permission from their MAC to employ a different allocation method that 
is more suited to the types of costs they incur. Exercising these 
options is at the request of the provider, and will not occur unless 
the provider seeks permission from its MAC to change its allocation 
method.
    If a provider wishes to change its statistical allocation basis for 
a particular cost center and/or the order in which the cost centers are 
allocated, the provider must make a written request to its MAC in 
accordance with PRM 15-1, chapter 23, section 2313. Specific to the 
operation of NAH education programs, a provider may elect to subscript 
its A&G cost center (line 5 of Worksheet A) for overhead costs directly 
related to NAH programs and use a statistic other than accumulated 
costs, which specifically relates to the NAH cost being allocated. For 
example, after subscripting the A&G cost center, a provider can use 
clinical rotation hours spent in each routine or ancillary area, to 
compute a ratio to total clinical rotation hours for each program. 
Then, to apportion staff's salaries among more than one NAH cost 
center, a provider can use a ratio of the number of students enrolled 
in a program to total number of students. For instance, a clinical 
coordinator's salary, whose job is to schedule and manage the clinical 
rotations of multiple NAHE programs, can be included in a subscripted 
A&G cost center and allocated to multiple NAH programs based on the 
ratio of the number of students in each NAH program to total number of 
students in all of the hospital's NAH programs. Providers would thus be 
able to appropriately differentiate the A&G costs to be allocated to 
NAH programs from those that should not be allocated toward operation 
of those programs because the statistical basis for this subscripted 
cost center would be more specific to services rendered. As a result, 
the amount of overhead costs that ultimately flow to the NAH cost 
centers would be more accurate, albeit less than what would be 
allocated if tuition and student fees were subtracted as a post-
stepdown adjustment, as argued by the providers in Mercy Health; 
however, as discussed above, the providers' desired method is not 
consistent with CMS's existing policy or existing cost report 
instructions.
    The proposed order of operations to offset revenue from direct 
costs on Worksheet A-8 also is consistent with CMS policy that A&G 
costs allocated to the NAH cost centers must be directly related to the 
operation of specific approved programs under 42 CFR 413.85(f) and (g). 
In the January 12, 2001, final rule (66 FR 3367), we clarified the 
meaning of the term ``tuition'' and specified a formula for determining 
the net costs to indicate that ``total costs'' includes only direct and 
indirect costs incurred by a provider that are directly attributable to 
the operation of an approved educational activity. We explained that 
these costs do not include usual patient care costs that would be 
incurred in the absence of the educational activity, such as the salary 
costs for nursing supervisors who oversee the floor nurses and student 
nurses. Moreover, these costs do not include costs incurred by a 
related organization. We understand that a significant portion of 
indirect costs that certain plaintiffs in the litigation allocated to 
their nursing and allied health cost centers included costs incurred by 
a related organization (such as a home office), in violation of the 
regulation at 42 CFR 413.85(d)(2)(ii),

[[Page 18282]]

as well as A&G costs not directly attributable to the operation of the 
NAH programs. Those A&G costs not directly incurred as a result of 
operating the NAH education programs are to be paid under the IPPS, not 
``passed through'' the IPPS (or other applicable hospital payment 
system). For instance, costs which benefit the hospital as a whole, 
such as Infection Control, Admissions, Patient Registration, 
Telecommunications, etc., would generally be incurred in the absence of 
a provider's NAH programs; therefore, these types of costs are not to 
be allocated to the NAH program cost centers. Consequently, it is the 
provider's responsibility to request permission from its MAC to use an 
allocation method for overhead costs that accurately and appropriately 
reflects overhead costs incurred by the provider as a direct result of 
operating NAH education programs.
    In summary, we are proposing to amend the regulations at 42 CFR 
413.85(d)(2)(i) and (ii) as specified previously.

H. Proposed Payment Adjustment for Certain Immunotherapy Cases 
(Sec. Sec.  412.85 and 412.312)

    Effective for FY 2021, we created MS-DRG 018 for cases that include 
procedures describing CAR T-cell therapies, which were reported using 
ICD-10-PCS procedure codes XW033C3 or XW043C3 (85 FR 58599 through 
58600). Effective for FY 2022, we revised MS-DRG 018 to include cases 
that report the procedure codes for CAR T-cell and non-CAR T-cell 
therapies and other immunotherapies (86 FR 44798 through 448106).
    Effective for FY 2021, we modified our relative weight methodology 
for MS-DRG 018 in order to develop a relative weight that is reflective 
of the typical costs of providing CAR T-cell therapies relative to 
other IPPS services. Specifically, under our finalized policy we do not 
include claims determined to be clinical trial claims that group to MS-
DRG 018 when calculating the average cost for MS-DRG 018 that is used 
to calculate the relative weight for this MS-DRG, with the additional 
refinements that: (a) when the CAR T-cell therapy product is purchased 
in the usual manner, but the case involves a clinical trial of a 
different product, the claim will be included when calculating the 
average cost for MS DRG 018 to the extent such claims can be identified 
in the historical data; and (b) when there is expanded access use of 
immunotherapy, these cases will not be included when calculating the 
average cost for MS-DRG 018 to the extent such claims can be identified 
in the historical data (85 FR 58600). The term ``expanded access'' 
(sometimes called ``compassionate use'') is a potential pathway for a 
patient with a serious or immediately life-threatening disease or 
condition to gain access to an investigational medical product (drug, 
biologic, or medical device) for treatment outside of clinical trials 
when, among other criteria, there is no comparable or satisfactory 
alternative therapy to diagnose, monitor, or treat the disease or 
condition (21 CFR 312.305).\226\
---------------------------------------------------------------------------

    \226\ https://www.fda.gov/news-events/expanded-access/expanded-access-keywords-definitions-and-resources.
---------------------------------------------------------------------------

    Effective FY 2021, we also finalized an adjustment to the payment 
amount for applicable clinical trial and expanded access immunotherapy 
cases that group to MS-DRG 018 using the same methodology that we used 
to adjust the case count for purposes of the relative weight 
calculations (85 FR 58842 through 58844). (As previously noted, 
effective beginning FY 2022, we revised MS-DRG 018 to include cases 
that report the procedure codes for CAR T-cell and non-CAR T-cell 
therapies and other immunotherapies (86 FR 44798 through 448106).) 
Specifically, under our finalized policy we apply a payment adjustment 
to claims that group to MS-DRG 018 and include ICD-10-CM diagnosis code 
Z00.6, with the modification that when the CAR T-cell, non-CAR T-cell, 
or other immunotherapy product is purchased in the usual manner, but 
the case involves a clinical trial of a different product, the payment 
adjustment will not be applied in calculating the payment for the case. 
We also finalized that when there is expanded access use of 
immunotherapy, the payment adjustment will be applied in calculating 
the payment for the case. This payment adjustment is codified at 42 CFR 
412.85 (for operating IPPS payments) and 412.312 (for capital IPPS 
payments), for claims appropriately containing Z00.6, as described 
previously, and reflects that the adjustment is also applied for cases 
involving expanded access use immunotherapy, and that the payment 
adjustment only applies to applicable clinical trial cases; that is, 
the adjustment is not applicable to cases where the CAR T-cell, non-CAR 
T-cell, or other immunotherapy product is purchased in the usual 
manner, but the case involves a clinical trial of a different product. 
The regulations at 42 CFR 412.85(c) also specify that the adjustment 
factor will reflect the average cost for cases to be assigned to MS-DRG 
018 that involve expanded access use of immunotherapy or are part of an 
applicable clinical trial to the average cost for cases to be assigned 
to MS-DRG 018 that do not involve expanded access use of immunotherapy 
and are not part of a clinical trial (85 FR 58844).
    For FY 2026, we are proposing to continue to apply an adjustment to 
the payment amount for expanded access use of immunotherapy and 
applicable clinical trial cases that group to MS-DRG 018, calculated 
using the same methodology, as modified in the FY 2024 IPPS/LTCH PPS 
final rule (88 FR 59062), that we are proposing to use to adjust the 
case count for purposes of the relative weight calculations, including 
our proposed modifications to that methodology for FY 2026, as 
described in section II.D. of the preamble of this proposed rule.
    As discussed in the FY 2024 IPPS/LTCH PPS final rule, the MedPAR 
claims data now includes a field that identifies whether or not the 
claim includes expanded access use of immunotherapy. For the FY 2023 
MedPAR data and for subsequent years, this field identifies whether or 
not the claim includes condition code 90. The MedPAR files now also 
include information for claims with the payer-only condition code 
``ZC'', which is used by the IPPS Pricer to identify a case where the 
CAR T-cell, non-CAR T-cell, or other immunotherapy product is purchased 
in the usual manner, but the case involves a clinical trial of a 
different product so that the payment adjustment is not applied in 
calculating the payment for the case (for example, see Change Request 
11879, available at https://www.cms.gov/files/document/r10571cp.pdf). 
We refer the readers to section II.D. of this proposed rule for further 
discussion of our methodology for identifying clinical trial claims and 
expanded access use claims in MS-DRG 018 and our methodology used to 
adjust the case count for purposes of the relative weight calculations, 
as modified in the FY 2024 IPPS/LTCH PPS final rule, and as further 
proposed to be modified for FY 2026 to identify other claims for which 
the immunotherapy product was not purchased in the usual manner, such 
as obtained at no cost.
    In the FY 2025 IPPS/LTCH PPS final rule, we summarized a comment 
requesting that CMS establish a mechanism for hospitals to report when 
a product is not purchased in the usual manner, such as obtained at no 
cost, for reasons other than participation in a clinical trial or 
expanded access use (89 FR 69112). We indicated we may consider this 
request in future

[[Page 18283]]

rulemaking. We agree that the same adjustment that applies to expanded 
access use of immunotherapy and applicable clinical trial cases should 
apply to other cases where the immunotherapy product is not purchased 
in the usual manner, such as obtained at no cost, and therefore are 
proposing that, beginning in FY 2026, the payment adjustment would also 
be applied in calculating the payment for such cases. We intend to 
issue billing instructions in separate guidance that would allow a 
provider to indicate, for that case, that the immunotherapy product was 
not purchased in the usual manner so that MACs would apply the same 
adjustment to the payment amount that is applied for expanded access 
use of immunotherapy and applicable clinical trial cases that group to 
MS-DRG 018. We are also proposing to modify our regulations at 42 CFR 
412.85 (for operating IPPS payments) and 412.312 (for capital IPPS 
payments) to codify this proposed payment adjustment for other cases 
where the immunotherapy product is not purchased in the usual manner, 
such as obtained at no cost. Specifically, we are proposing to modify 
the section heading and paragraphs (b) and (c) at 42 CFR 412.85 to 
include other cases where the immunotherapy product is not purchased in 
the usual manner, such as obtained at no cost, and to make additional 
technical revisions to paragraph (c). We are also proposing to modify 
paragraph (f) at 42 CFR 412.312 to include cases where the 
immunotherapy product is not purchased in the usual manner, such as 
obtained at no cost.
    We also refer readers to section II.D. of the preamble of this 
proposed rule for further discussion of our proposed changes to our 
methodology for calculating the relative weight for MS-DRG 018 to 
identify other cases where the immunotherapy product is not purchased 
in the usual manner, such as obtained at no cost and to adjust the case 
count for purposes of the relative weight calculations.
    Using the same methodology that we are proposing to use to adjust 
the case count for purposes of the relative weight calculations, 
including our proposed modifications as discussed in section II.D. of 
the preamble of this proposed rule, we are proposing to calculate the 
adjustment to the payment amount for expanded access use of 
immunotherapy, applicable clinical trial cases, and other cases where 
the immunotherapy product is not purchased in the usual manner, such as 
obtained at no cost as follows:
     Calculate the average cost for cases assigned to MS-DRG 
018 that (a) contain ICD-10-CM diagnosis code Z00.6 and do not contain 
condition code ``ZC'', (b) contain condition code ``90'', or (c) 
contain standardized drug charges below the median standardized drug 
charge of clinical trial cases in MS-DRG 018.
     Calculate the average cost for all other cases assigned to 
MS-DRG 018.
     Calculate an adjustor by dividing the average cost 
calculated in step 1 by the average cost calculated in step 2.
     Apply this adjustor when calculating payments for expanded 
access use of immunotherapy, applicable clinical trial cases, and other 
cases where the immunotherapy product is not purchased in the usual 
manner, such as obtained at no cost, that group to MS-DRG 018 by 
multiplying the relative weight for MS-DRG 018 by the adjustor.
    We refer the readers to section II.D. of the preamble of this 
proposed rule for further discussion of our methodology.
    Consistent with our calculation of the proposed adjustor for the 
relative weight calculations, for this proposed rule we are proposing 
to calculate this adjustor based on the December 2024 update of the FY 
2024 MedPAR file for purposes of establishing the FY 2026 payment 
amount. Specifically, in accordance with proposed revised 42 CFR 412.85 
(for operating IPPS payments) and 412.312 (for capital IPPS payments), 
we propose to multiply the FY 2026 relative weight for MS-DRG 018 by a 
proposed adjustor of 0.23 as part of the calculation of the payment for 
claims determined to be applicable clinical trial claims, expanded 
access use immunotherapy claims, or other cases where the immunotherapy 
product is not purchased in the usual manner, such as obtained at no 
cost, that group to MS-DRG 018, which includes CAR T-cell and non-CAR 
T-cell therapies and other immunotherapies. We also propose to update 
the value of the adjustor based on more recent data for the final rule.

K. Hospital Readmissions Reduction Program Updates and Changes

1. Regulatory Background
    Section 1886(q) of the Act sets forth the requirements of the 
Hospital Readmissions Reduction Program effective for discharges from 
applicable hospitals beginning on or after October 1, 2012. Under the 
Hospital Readmissions Reduction Program, payments to applicable 
hospitals must be reduced to account for certain excess readmissions. 
We refer readers to the FY 2016 IPPS/LTCH PPS final rule (80 FR 49530 
through 49543) and the FY 2018 IPPS/LTCH PPS final rule (82 FR 38221 
through 38240) for a general overview of the Hospital Readmissions 
Reduction Program. We also refer readers to 42 CFR 412.152 through 
412.154 for codified Hospital Readmissions Reduction Program 
requirements.
2. Hospital Readmissions Reduction Program Measures
a. Proposal To Integrate Medicare Advantage (MA) Beneficiaries Into the 
Cohorts of the Hospital Readmissions Reduction Program Measure Set 
Beginning With the FY 2027 Program Year
(1) Background
    In this proposed rule, we propose to adopt substantive updates to 
the Hospital 30-Day, All-Cause, Risk-Standardized Readmission Rate 
(RSRR) Following Acute Myocardial Infarction (AMI) Hospitalization; 
Hospital 30-Day, All-Cause, RSRR Following Heart Failure (HF) 
Hospitalization; Hospital 30-Day, All-Cause, RSRR Following Pneumonia 
(PN) Hospitalization; Hospital-Level, 30-Day, All-Cause, RSRR Following 
Chronic Obstructive Pulmonary Disease (COPD) Hospitalization; Hospital 
30-Day, All-Cause, RSRR Following Total Hip Arthroplasty (THA) and 
Total Knee Arthroplasty (TKA) Hospitalization; and Hospital 30-Day, 
All-Cause, RSRR Following Coronary Artery Bypass Graft (CABG) Surgery 
measures, hereinafter referred to as the Hospital Readmissions 
Reduction Program measure set, beginning with the FY 2027 Program Year. 
The proposed updates to the Hospital Readmissions Reduction Program 
measure set would include integrating MA beneficiaries into each 
measure's cohorts and reducing the applicable period from a three-year 
period to a two-year period. In addition, we propose to make a non-
substantive modification; we would update the risk adjustment model to 
use individual International Classification of Diseases (ICD)-10 codes 
instead of Hierarchical Condition Categories (HCCs). For the purposes 
of describing the substantive change of the Hospital Readmissions 
Reduction Program measure set, we note that ``cohort'' is defined as 
the hospitalizations, or ``index admissions,'' that are included when 
calculating each measure. This cohort is the set of hospitalizations 
that meet all the inclusion and exclusion criteria. For measure cohort 
details of the most recent versions of the Hospital Readmissions 
Reduction Program measure set, we refer readers to the

[[Page 18284]]

measure methodology report and measure risk adjustment statistical 
model on our website at: https://qualitynet.cms.gov/inpatient/measures/readmission/methodology.
    Including MA beneficiaries in hospital outcome measures would help 
ensure that hospital quality would be measured across all Medicare 
beneficiaries and not just the Fee-For-Service (FFS) population. In 
2024, 50 percent of eligible Medicare beneficiaries--or 34.3 million 
people--were covered by MA plans.\227\ It is projected that nearly two-
thirds of all Medicare enrollees will be enrolled in MA plans by 
2030.\228\ Consequently, using FFS-only beneficiaries may exclude a 
large segment of the focus population for quality measurement.
---------------------------------------------------------------------------

    \227\ Centers for Medicaid & Medicare Services. Medicare 
Enrollment for September 2024 (Accessed on February 5, 2025). 
Available at: https://data.cms.gov/tools/medicare-enrollment-dashboard.
    \228\ Hale, J., Hong, N., Hopkins, B., et al. (2024) Health 
Insurance Coverage Projections for the US Population and Sources of 
Coverage, by Age, 2024-34. Health Affairs. 43(7); 922-932. https://doi.org/10.1377/hlthaff.2024.00460.
---------------------------------------------------------------------------

    Additionally, studies comparing readmission rates between MA and 
FFS-only have shown mixed results. While several studies report lower 
readmissions for MA enrollees,229 230 others have found no 
difference or even higher risk-adjusted readmission rates for certain 
conditions.231 232 Due to these differing research study 
conclusions, adding the MA cohort to the Hospital Readmissions 
Reduction Program measures would allow for a more robust and holistic 
view of quality of care provided to all Medicare beneficiaries.\233\ 
Most importantly, the FFS and MA data in our hospital outcome measures 
would empower patients and caregivers to make informed decisions about 
their healthcare by giving them additional comparative data on 
hospitals.
---------------------------------------------------------------------------

    \229\ Jacobs, P.D., Basu, J. Medicare Advantage and Post 
discharge Quality: Evidence From Hospital Readmissions. American 
Journal of Managed Care, 2020;26(12):524-529. Available at: https://www.ajmc.com/view/medicare-advantage-and-postdischarge-quality-evidence-from-hospital-readmissions.
    \230\ Huckfeldt, P.J., Escarce, J.J., Rabideau, B., et al. Less 
Intense Postacute Care, Better Outcomes for Enrollees in Medicare 
Advantage Than Those in Fee-For-Service. Health Affairs. 
2017;26(1):91-100. https://doi.org/10.1377/hlthaff.2016.1027.
    \231\ Yayac, M.F., Harrer, S.L., Janiec, D.A., et al. Costs and 
Outcomes of Medicare Advantage and Traditional Medicare 
Beneficiaries After Total Hip and Knee Arthroplasty. Journal of 
American Academy of Orthopedic Surgeons. 2020;28(20):e910-e916. 
https://doi.org/10.5435/JAAOS-D-19-00609.
    \232\ Henke, R.M., Karaca, Z., Gibson, T.B., et al. Medicare 
Advantage and Traditional Medicare Hospitalization Intensity and 
Readmissions. Medical Care Research and Review. 2018;75(4):434-453. 
https://doi.org/10.1177%2F1077558717692103.
    \233\ Panagiotou, O.A., Kumar, A., Gutman, R., et al. Hospital 
Readmission Rates in Medicare Advantage and Traditional Medicare: A 
Retrospective Population-Based Analysis. Annals of Internal 
Medicine. 2019;171(2):99-106. https://doi.org/10.7326/M18-1795.
---------------------------------------------------------------------------

(2) Overview of Measure Updates
    We refer readers to the CMS Measures Inventory Tool and Hospital 
Readmissions Reduction Program readmission measures specification 
manuals for more information on the Hospital Readmissions Reduction 
Program measure set, including background on each measure and a 
complete summary of measure specifications.234 235
---------------------------------------------------------------------------

    \234\ CMS Measures Inventory Tool. Available at: https://cmit.cms.gov/cmit/#.
    \235\ CMS Quality Net. Available at: https://qualitynet.cms.gov/inpatient/measures/readmission/methodology.
---------------------------------------------------------------------------

    We propose to adopt updates to the Hospital Readmissions Reduction 
Program measure set in the Hospital Readmissions Reduction Program 
beginning with the FY 2027 program year. The newly refined versions of 
the Hospital Readmissions Reduction Program measure set would expand 
the measures' inclusion criteria to include MA beneficiaries. 
Currently, the measure denominator for the Hospital Readmissions 
Reduction Program measure set includes beneficiaries ``Enrolled in 
Medicare FFS Part A and Part B for the first 12 months prior to the 
date of admission and enrolled in Part A during the index admission.'' 
\236\ We propose to modify the measure cohort to ``Enrolled in Medicare 
FFS and/or MA for the 12 months prior to the date of admission; and 
enrolled in FFS or MA during the index admission.'' \237\ The addition 
of MA data to the measure doubles the cohort size and more accurately 
reflects the quality of care for both FFS and MA beneficiaries.
---------------------------------------------------------------------------

    \236\ CMS Measures Inventory Tool. Available at: https://cmit.cms.gov/cmit/#.
    \237\ 2024 Measures Under Consideration List. Available at: 
https://mmshub.cms.gov/2024/2024-11/2024-measures-under-consideration-list-now-available.
---------------------------------------------------------------------------

    We are also providing a non-substantive update which would re-
specify the risk model for each measure to primarily use individual 
ICD-10 codes, leveraging the specificity of individual ICD-10 coding in 
place of the previously used HCCs. This technical update would improve 
the performance of the risk adjustment models for condition- and 
procedure-specific mortality and complication measures.\238\ We refer 
readers to the CMS Measures Management System for more on the list of 
ICD-10 codes used in the risk adjustment model, available at: https://mmshub.cms.gov/measure-lifecycle/measure-implementation/pre-rulemaking/lists-and-reports/2024-MUC-List-materials.
---------------------------------------------------------------------------

    \238\ Krumholz, H.M., Coppi, A.C., Warner, F., et al. 
Comparative effectiveness of new approaches to improve mortality 
risk models from Medicare claims data. JAMA Network Open. 
2019;2(7):e197314-e197314 Available at: https://pmc.ncbi.nlm.nih.gov/articles/PMC6647547/.
---------------------------------------------------------------------------

(3) Pre-Rulemaking Process and Measure Endorsement
(a) Recommendation From the PRMR Process
    We refer readers to the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69457 through 69458) for details on the Pre-Rulemaking Measure Review 
(PRMR) process, including the voting procedures that the PRMR process 
uses to reach consensus on measure recommendations. The PRMR Hospital 
Committee, comprised of the PRMR Hospital Advisory Group and PRMR 
Hospital Recommendation Group, reviewed the proposed updated versions 
of the Hospital Readmissions Reduction Program measure set. Consensus 
is reached when there is 75 percent or higher agreement among members 
of a committee.\239\ The PRMR Hospital Recommendation Group reviewed 
the proposed updated Hospital Readmissions Reduction Program measure 
set specifications (MUC2024-030, MUC2024-032, MUC2024-040, MUC2024-041, 
MUC2024-045, MUC2024-046) during a meeting on January 16, 2025, to vote 
on a recommendation about use of these measures for the Hospital 
Readmissions Reduction Program.\240\
---------------------------------------------------------------------------

    \239\ Battelle--Partnership for Quality Measurement. (February 
2025). Guidebook of Policies and Procedures for Pre-Rulemaking 
Measure Review (PRMR) and Measure Set Review (MSR). Available at: 
https://p4qm.org/sites/default/files/2024-12/Final-Draft-Multi-Stakeholder-Group-Guidebook-of-Policies-and-Procedures.pdf.
    \240\ Battelle--Partnership for Quality Measurement. (February 
2025). PRMR 2024 MUC Recommendations Spreadsheet Final. Available 
at: https://p4qm.org/PRMR/Resources.
---------------------------------------------------------------------------

    The PRMR Hospital Recommendation Group reached consensus for each 
of the measures. For each measure, they voted to recommend the addition 
of MA data to each measure, with conditions.\241\
---------------------------------------------------------------------------

    \241\ Battelle--Partnership for Quality Measurement. (February 
2025). PRMR 2024 MUC Recommendations Spreadsheet Final. Available 
at: https://p4qm.org/media/3891.
---------------------------------------------------------------------------

    The voting results of the PRMR Hospital Recommendation Group for 
the proposed updates to the Hospital 30-Day, All-Cause, RSRR Following 
AMI Hospitalization measure were: 18 members of the group recommended 
adopting the updates without

[[Page 18285]]

conditions; 9 members recommended adoption with conditions; and 0 
members voted not to recommend the updates for adoption. Taken 
together, 100 percent of the votes were between ``recommend'' and 
``recommend with conditions.'' Thus, the committee reached consensus 
and recommended with conditions the updates to the Hospital 30-Day, 
All-Cause, RSRR Following AMI Hospitalization measure.
    The voting results of the PRMR Hospital Recommendation Group for 
the proposed updates to the Hospital 30-Day, All-Cause, RSRR Following 
HF Hospitalization measure were: 17 members of the group recommended 
adopting the updates without conditions; 10 members recommended 
adoption with conditions; and 0 members voted not to recommend the 
updates for adoption. Taken together, 100 percent of the votes were 
between ``recommend'' and ``recommend with conditions.'' Thus, the 
committee reached consensus and recommended with conditions the updates 
to the Hospital 30-Day, All-Cause, RSRR Following HF Hospitalization 
measure.
    The voting results of the PRMR Hospital Recommendation Group for 
the proposed updates to the Hospital-Level, 30-Day, All-Cause, RSRR 
Following COPD Hospitalization measure were: 18 members of the group 
recommended adopting the updates without conditions; 9 members 
recommended adoption with conditions; and 0 members voted not to 
recommend the updates for adoption. Taken together, 100 percent of the 
votes were between ``recommend'' and ``recommend with conditions.'' 
Thus, the committee reached consensus and recommended with conditions 
the updates to the Hospital-Level, 30-Day, All-Cause, RSRR Following 
COPD Hospitalization measure.
    The voting results of the PRMR Hospital Recommendation Group for 
the proposed updates to the Hospital 30-Day, All-Cause, RSRR Following 
THA and/or TKA Hospitalization measure were: 19 members of the group 
recommended adopting the updates without conditions; 7 members 
recommended adoption with conditions; and 1 member voted not to 
recommend the updates for adoption. Taken together, 96 percent of the 
votes were between ``recommend'' and ``recommend with conditions.'' 
Thus, the committee reached consensus and recommended with conditions 
the updates to the Hospital 30-Day, All-Cause, RSRR Following THA and/
or TKA Hospitalization measure.
    The voting results of the PRMR Hospital Recommendation Group for 
the proposed updates to the Hospital 30-Day, All-Cause, RSRR Following 
PN Hospitalization measure were: 17 members of the group recommended 
adopting the updates without conditions; 10 members recommended 
adoption with conditions; and 0 members voted not to recommend the 
updates for adoption. Taken together, 100 percent of the votes were 
between ``recommend'' and ``recommend with conditions.'' Thus, the 
committee reached consensus and recommended with conditions the updates 
to the Hospital 30-Day, All-Cause, RSRR Following PN Hospitalization 
measure.
    The voting results of the PRMR Hospital Recommendation Group for 
the proposed updates to the Hospital 30-Day, All-Cause, RSRR Following 
CABG Surgery measure were: 19 members of the group recommended adopting 
the updates without conditions; 8 members recommended adoption with 
conditions; and 0 members voted not to recommend the updates for 
adoption. Taken together, 100 percent of the votes were between 
``recommend'' and ``recommend with conditions.'' Thus, the committee 
reached consensus and recommended with conditions the updates to the 
Hospital 30-Day, All-Cause, RSRR Following CABG Surgery measure.
    The measure set was discussed as a group during the Hospital 
Recommendation Group meeting, with committee members providing 
recommendations that spanned across measures. The conditions submitted 
included: revising the inclusion criteria to include care provided in 
ambulatory settings; stratification of measure data by MA and FFS; 
consideration of a shorter 7- or 14-day readmission time period; and 
conducting additional testing to evaluate whether the measure is topped 
out for all subgroups reporting.
    After taking these conditions into account, we propose to adopt the 
updated Hospital Readmissions Reduction Program measure set in the 
Hospital Readmissions Reduction Program. We note that the conditions 
were not specific to the addition of MA data into the measures but 
addressed the measures in totality. Therefore, we will review the 
applicability of stratifying the measures by MA or FFS data and provide 
that information through the confidential feedback reports for 
hospitals. We will also evaluate the readmission metrics to a shorter 
7- or 14-day readmission time period and review the criteria to include 
care provided in ambulatory settings and its applicability to each 
measure. We continue to review each measure's topped out status through 
our internal measure evaluation reports.
(b) Measure Endorsement
    We refer readers to FY 2025 IPPS/LTCH PPS final rule (89 FR 69457 
through 69458) for details on the endorsement and maintenance (E&M) 
process including the procedures the CBE's E&M Committees use to 
evaluate measures and whether they meet endorsement criteria. The 
currently implemented version of these measures in the Hospital 
Readmissions Reduction Program were previously evaluated and endorsed 
by the CBE.\242\ The proposed updated measures that include MA 
beneficiaries in the patient cohorts will each be considered for future 
endorsement.
---------------------------------------------------------------------------

    \242\ Hospital 30-Day, All-Cause, RSRR Following PN 
Hospitalization (CBE #0506), Hospital 30-Day, All-Cause, RSRR 
Following HF Hospitalization (CBE #0330), Hospital 30-Day, All-
Cause, RSRR Following THA and/or TKA Hospitalization (CBE #1551), 
Hospital 30-Day, All-Cause, RSRR Following CABG Surgery (CBE #2515), 
Hospital-Level, 30-Day, All-Cause, RSRR Following COPD 
Hospitalization (CBE #1891), and Hospital 30-Day, All-Cause, RSRR 
Following AMI Hospitalization (CBE #0505) can all be found at 
https://cmit.cms.gov/cmit/#/MeasureInventory.
---------------------------------------------------------------------------

(4) Data Submission and Reporting
    The proposed updated Hospital Readmissions Reduction Program 
measure set would use index admission diagnoses and in-hospital 
comorbidity data from Medicare FFS Part A, MA claims/encounters, or 
both. Additional comorbidities prior to the index admission are 
assessed using Part A and Part B Medicare claims, MA encounters in the 
12 months prior to index (initial) admission. A patient's Medicare FFS 
or MA enrollment status would be obtained from the Medicare enrollment 
data which contains beneficiary demographic, benefit/coverage, and 
vital status information. We propose to use claims and encounter data 
with admission dates beginning from July 1, 2023, through June 30, 
2025, which is associated with the FY 2027 program year. By using CMS 
administrative data, hospitals would not be required to submit 
additional data for calculating the measures. If these measure updates 
are finalized, we would continue to publicly report readmission rates 
by posting the readmission measure results for the applicable 
conditions for a fiscal year for each applicable hospital on the 
Compare tool or successor website(s), currently available at https://www.medicare.gov/care-compare/, and on the Provider Data Catalog, 
available

[[Page 18286]]

at https://data.cms.gov/provider-data/, as codified at Sec.  
412.154(f).
    We invite public comment on this proposal.
b. Technical Updates to the Specifications of the Hospital Readmissions 
Reduction Program Measures Beginning With the FY 2027 Program Year
    During the COVID-19 public health emergency (PHE), in the FY 2022 
IPPS/LTCH PPS final rule (86 FR 45256 through 45258), we updated the 
Hospital 30-Day All-Cause RSRR Following AMI Hospitalization; Hospital 
30-Day, All-Cause, RSRR Following CABG Surgery; Hospital-Level, 30-Day, 
All-Cause, RSRR Following COPD Hospitalization; Hospital 30-Day, All-
Cause, RSRR Following HF Hospitalization; and Hospital 30-Day, All-
Cause, RSRR Following THA and/or TKA Hospitalization measures to 
exclude patients diagnosed with COVID-19, including a primary or 
secondary diagnosis present on admission (POA) of COVID-19, from both 
index admissions and readmissions (86 FR 45257 through 45258). In the 
FY 2023 IPPS/LTCH PPS final rule, we provided an update regarding the 
technical specifications for the Hospital 30-Day, All-Cause, RSRR 
Following PN Hospitalization measure to exclude patients with either 
principal or secondary diagnosis POA of COVID-19 from both index 
admissions and readmissions (87 FR 49083 through 49086). Additionally, 
in the FY 2023 IPPS/LTCH PPS final rule, we modified the technical 
measure specifications of each of the six readmission measures to 
include a covariate adjustment for patient history of COVID-19 in the 
12 months prior to the admission beginning with the FY 2023 program 
year (87 FR 49086 through 49088).
    We stated that we were making these updates pursuant to the 
technical updates policy we finalized in the FY 2015 IPPS/LTCH final 
rule. Under this policy, we finalized a subregulatory process to 
incorporate technical measure specification updates into the measure 
specifications we had previously adopted for the Hospital Readmissions 
Reduction Program (79 FR 50039). We reiterated this policy in the FY 
2020 IPPS/LTCH final rule, stating our continued belief that the 
subregulatory process is the most expeditious manner possible to ensure 
that quality measures remain fully up to date while preserving the 
public's ability to comment on updates that so fundamentally change a 
measure that it is no longer the same measure that we originally 
adopted (84 FR 42385 through 42387).
    We are providing notice in this proposed rule that we intend to 
remove the COVID-19 exclusion from the readmission measures beginning 
with the FY 2027 program year. This technical update will modify these 
readmission measures to remove the exclusion of COVID-19 diagnosed 
patients from the index admissions and readmissions, including the 
removal of the exclusion of certain ICD-10 Codes that represented 
patients with a secondary diagnosis of COVID-19, and the history of 
COVID-19 risk variable.
    The exclusion began as a response to the COVID-19 PHE which expired 
May 11, 2023. We believe that hospitals have had adequate time to 
adjust to the presence of COVID-19 as an ongoing virus. Using data from 
the last four years, July 2020-June 2024, our internal analysis showed 
a decline over time of the number of patients excluded from the various 
measure cohorts. Therefore, we believe that removing the exclusion of 
COVID-19 patients will ensure that these readmission measures continue 
to account for readmissions as intended and meet the goals of the 
Hospital Readmissions Reduction Program.
    Additional resources about current measure technical specifications 
and the methodology for the Hospital Technical specification of the 
current readmission measures are provided at our website in the Measure 
Methodology Reports (available at: https://qualitynet.cms.gov/inpatient/measures/readmission/methodology). Hospital Readmissions 
Reduction Program resources are located at the Resources web page of 
the QualityNet website (available at: https://qualitynet.cms.gov/inpatient/hrrp/resources). An updated measure methodology report will 
be made available in May 2026.
3. Additional Policies for the Hospital Readmissions Reduction Program
a. Proposal To Modify the Applicable Period for the Hospital 
Readmissions Reduction Program Measures Set
    We propose to modify the definition of ``applicable period'' as 
specified at Sec.  412.152. Currently, the ``applicable period'' is the 
3-year period from which data are being collected to calculate excess 
readmission ratios (ERRs) and payment adjustment factors for the fiscal 
year; this includes aggregate payments for excess readmissions and 
aggregate payments for all discharges used in the calculation of the 
payment adjustment. In the FY 2013 IPPS/LTCH PPS final rule, we noted 
that the 3-year period provided an increase the number of cases per 
hospital used for measure calculation, which improved the precision of 
each hospital's readmission estimate (77 FR 53379 through 53382). The 
``applicable period for dual eligibility'' is the same as the 
``applicable period'' that we otherwise adopted for purposes of the 
Hospital Readmissions Reduction Program.
    However, we now propose to reduce the applicable period from 3 to 2 
years. The proposed update would allow for more recent data when 
assessing performance. With the proposed inclusion of MA patients in 
the cohort, we assessed whether the reliability of the measures could 
reach a satisfactory level when the applicable period is shortened. In 
testing, all measures showed better between-hospital variance using the 
2-year FFS and MA combined cohort as compared to the current measure 
specifications of a 3-year applicable period and the FFS-only cohort.
    Beginning in FY 2027, we propose that the ``applicable period'' for 
the Hospital Readmissions Reduction Program would be the 2-year period 
beginning 1 year advanced from the previous program fiscal year's start 
of the ``applicable period.'' For example, for the FY 2027 program 
determination, claims/encounter data with admission dates beginning 
from July 1, 2023, through June 30, 2025, would be used.
    Under this proposed policy, for all subsequent years, we would 
advance this 2-year period by 1 year unless otherwise specified by the 
Secretary, which we would revise through notice and comment rulemaking. 
Similarly, the ``applicable period for dual eligibility'' would 
continue to correspond to the ``applicable period'' for the Hospital 
Readmissions Reduction Program, unless otherwise specified by the 
Secretary.
    We invite public comment on this proposal.
b. Proposal To Identify Aggregate Payments for Each Condition/Procedure 
and All Discharges for FY 2027 and Subsequent Years
    When calculating the numerator (aggregate payments for excess 
readmissions), we determine the base operating DRG payment amount for 
an individual hospital for the applicable period for each condition/
procedure using Medicare FFS inpatient claims from the MedPAR file with 
discharge dates that are within the applicable period. Under our 
established methodology, we use the update of the MedPAR file for each 
Federal fiscal year, which is updated 6 months after the end of each 
Federal fiscal year

[[Page 18287]]

within the applicable period, as our data source.
    In identifying discharges for the applicable conditions/procedures 
to calculate the aggregate payments for excess readmissions, we apply 
the same exclusions to the claims in the MedPAR file as are applied in 
the measure methodology for each of the applicable conditions/
procedures. For example, for the FY 2025 applicable period, this 
included the discharge diagnoses for each applicable condition/
procedure based on the list of specific ICD-10-CM and ICD-10-PCS code 
sets, as applicable, for that condition/procedure, as specified in the 
2024 version of the measure methodology reports.
    In this proposed rule, we propose to include payment data for 
Medicare FFS and MA beneficiaries that meet the criteria as previously 
described for each applicable condition/procedure to calculate the 
aggregate payments for excess readmissions. We will rely on the MedPAR 
and/or the latest available data source that would provide the most up-
to-date comprehensive information on payment information for Medicare 
FFS and MA beneficiaries. This proposal results from our proposal to 
include MA beneficiaries in the Hospital Readmissions Reduction Program 
measure set cohorts.
    We note that Sec.  412.152 defines the terms ``aggregate payments 
for excess readmissions'' and ``excess readmissions ratio'' (ERR) 
broadly enough to allow us to include MA beneficiaries in the 
calculation without requiring us to revise the regulatory definition.
(1) Analysis of Proposed Changes Impact on Aggregate Payments
    To assess the expected impact on hospital payment adjustments 
resulting from the changes to the readmission measures, the 
``applicable period'', and calculations for aggregate payments for 
excess readmissions, we estimated hospitals' payment adjustment factors 
using the proposed measures updates to include MA data, the proposed 
two-year applicable period, and the proposed updates to the 
calculations for aggregate payments for each condition/procedure to 
include MA data. Later in this section we show the estimated total 
Medicare savings under the current payment adjustment factor 
calculations and the proposed payment adjustment factor calculations 
which would use a two-year applicable period and include MA data in the 
ERR calculations and calculations for aggregate payments for each 
condition/procedure. Based on our analysis, the estimated average 
change in Medicare savings per hospital from the proposed updates was 
$15,579, with 1,424 hospitals having a greater penalty amount and 1,547 
hospitals having the same or lower penalty amount.

        Table VI.K-01--Estimated Total Medicare Savings of Proposed Addition of MA Cohort to Hospital Readmissions Reduction Program Measure Set
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                                                       Difference between       Percentage difference
                                                                        Current        Proposed       proposed updates and     between proposed updates
                                                                      methodology       updates       current methodology      and current methodology
--------------------------------------------------------------------------------------------------------------------------------------------------------
Estimated total Medicare savings..................................    $316,131,336    $357,264,092              $41,132,756                           13
Number of penalized hospitals.....................................           2,342           2,417                       75                            3
--------------------------------------------------------------------------------------------------------------------------------------------------------

    Our analysis also assesses the impact of the proposed updates to 
the number of eligible hospitals, number and percentage of penalized 
hospitals, and penalties as a share of payments overall and by hospital 
characteristics. The first and fifth columns in the below table 
indicates the total number of hospitals eligible for a penalty under 
the Hospital Readmissions Reduction Program. In FY 2025, approximately 
3,000 subsection (d) hospitals were included in the Hospital 
Readmissions Reduction Program. Poorly performing hospitals included in 
the program may receive a penalty if they are non-Maryland subsection 
(d) hospitals with 25 or more eligible discharges for at least one 
measure during the applicable period. The second and sixth columns in 
the table indicates the total number of non-Maryland hospitals with 
available data for each characteristic that have an estimated payment 
adjustment factor less than 1 (that is, penalized hospitals). The third 
and seventh columns in the table indicates the estimated percentage of 
penalized hospitals among those eligible to receive a penalty by 
hospital characteristic. The fourth and eighth columns in the table 
estimate the financial impact on hospitals by hospital characteristic, 
referred to as the penalty as a share of payments. The penalty as a 
share of payments is calculated as the sum of penalties for all 
hospitals with that characteristic over the sum of all base operating 
DRG payments for those hospitals. For example, under the current 
methodology, the penalty as a share of payments for urban hospitals is 
0.42 percent, and with the proposed updates, the penalty as a share of 
payments for urban hospitals is 0.46 percent. This means that total 
penalties for all urban hospitals is 0.42 percent of total payments for 
urban hospitals under the current methodology and 0.46 percent with the 
proposed updates. Measuring the financial impact on hospitals as a 
percentage of total base operating DRG payments accounts for 
differences in the amount of base operating DRG payments for hospitals 
with the characteristic when comparing the financial impact of the 
program on different groups of hospitals.

       Table VI.K-02--Comparison of Proposed Updates to Current Methodology in Hospital Readmissions Reduction Program by Hospital Characteristic
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                             Current methodology  (FY 2025 results: FFS only and 3-     Proposed updates  (adding MA stays and 2-year
                                                            year performance period)                                 performance period)
                                           -------------------------------------------------------------------------------------------------------------
          Hospital characteristic            Number of     Number of    Percentage    Penalty as a    Number of   Number of    Percentage   Penalty as a
                                              eligible     penalized   of hospitals     share of      eligible    penalized   of hospitals    share of
                                             hospitals     hospitals     penalized    payments (%)    hospitals   hospitals     penalized   payments (%)
                                                \a\           \b\         (%) \c\          \d\           \a\         \b\         (%) \c\         \d\
--------------------------------------------------------------------------------------------------------------------------------------------------------
All Hospitals.............................        2,828         2,342         82.81           0.42        2,868        2,417         84.27          0.46
By Geographic Location:
Urban hospitals...........................        2,164         1,836         84.84           0.42        2,201        1,901         86.37          0.46

[[Page 18288]]

 
    1-99 beds.............................          505           336         66.53           0.39          518          353         68.15          0.46
    100-199 beds..........................          624           549         87.98           0.48          637          574         90.11          0.53
    200-299 beds..........................          397           368         92.70           0.48          406          374         92.12          0.56
    300-399 beds..........................          268           250         93.28           0.43          269          249         92.57          0.47
    400-499 beds..........................          123           112         91.06           0.46          123          121         98.37          0.47
    500 or more beds......................          247           221         89.47           0.34          248          230         92.74          0.37
Rural hospitals...........................          664           506         76.20           0.41          667          516         77.36          0.45
    1-49 beds.............................          312           203         65.06           0.31          315          213         67.62          0.36
    50-99 beds............................          186           151         81.18           0.46          186          151         81.18          0.48
    100-149 beds..........................           92            82         89.13           0.39           92           84         91.30          0.46
    150-199 beds..........................           44            41         93.18           0.43           44           40         90.91          0.59
    200 or more beds......................           30            29         96.67           0.40           30           28         93.33          0.35
By Teaching Status: \e\
    Non-teaching..........................        1,634         1,280         78.34           0.45        1,651        1,308         79.22          0.50
    Fewer than 100 residents..............          910           806         88.57           0.44          932          837         89.81          0.48
    100 or more residents.................          284           256         90.14           0.36          285          272         95.44          0.39
By Ownership Type:
    Government............................          403           313         77.67           0.29          408          340         83.33          0.31
    Proprietary...........................          636           519         81.60           0.55          637          511         80.22          0.64
    Voluntary.............................        1,789         1,510         84.40           0.41        1,822        1,565         85.89          0.45
By Safety-net Status: \f\
    Safety-net hospitals..................        2,284         1,889         82.71           0.44        2,312        1,945         84.13          0.47
    Non-safety-net hospitals..............          544           453         83.27           0.34          556          472         84.89          0.42
By Disproportionate Share Hospital (DSH)
 Patient Percentage: \g\
    0-24..................................        1,058           828         78.26           0.48        1,079          880         81.56          0.53
    25-49.................................        1,469         1,273         86.66           0.39        1,478        1,279         86.54          0.42
    50-64.................................          177           147         83.05           0.36          181          150         82.87          0.49
    65 and over...........................          124            94         75.81           0.43          130          108         83.08          0.53
By Medicare Cost Report (MCR) Percentage:
 \h\
    0-24..................................        1,183           995         84.11           0.33        1,224        1,041         85.05          0.40
    25-49.................................        1,572         1,296         82.44           0.48        1,569        1,325         84.45          0.50
    50-64.................................           62            43         69.35           0.75           61           39         63.93          0.75
    65 and over...........................           10             7         70.00           0.29           11            9         81.82          1.21
By Region:
    New England...........................          122           106         86.89           0.64          123          115         93.50          0.60
    Middle Atlantic.......................          313           287         91.69           0.46          318          293         92.14          0.56
    East North Central....................          444           379         85.36           0.43          446          387         86.77          0.49
    West North Central....................          228           172         75.44           0.23          227          184         81.06          0.38
    South Atlantic........................          483           421         87.16           0.46          489          439         89.78          0.47
    East South Central....................          253           210         83.00           0.47          257          221         85.99          0.42
    West South Central....................          425           342         80.47           0.39          425          315         74.12          0.38
    Mountain..............................          211           151         71.56           0.31          212          150         70.75          0.30
    Pacific...............................          349           274         78.51           0.34          371          313         84.37          0.42
--------------------------------------------------------------------------------------------------------------------------------------------------------
Source: Proposed Updates results based on: preliminary MA-FFS readmission measure results that were available using data from January 1, 2022, through
  December 31, 2023, and include non-HRRP hospitals (such as CAHs) in the estimation of ERRs; MA-FFS DRG ratios and dual proportions from July 1, 2021,
  through June 30, 2023. The Current Methodology results are the actual FY 2025 results using data from July 1, 2020, through June 30, 2023. Both
  analyses use MedPAR data from October 1, 2022, through September 30, 2023 (FY 2023), to calculate the payment adjustment as a proportion of total base
  operating DRG payments. Both analyses use data from the FY 2025 proposed rule impact file for hospital characteristics data. The number of hospitals
  with each characteristic may not sum to the total number of hospitals due to some hospitals having missing characteristic data in the impact file.
  This table only includes results for hospitals who are eligible for a penalty under the program on the basis of having at least 25 eligible discharges
  for at least one measure. The average share of penalties as a percentage of all DRG payments is calculated as the sum of all Medicare savings for the
  group of hospitals divided by total base operating DRG payments for all hospitals in that group.
\a\ This column is the number of applicable hospitals within the characteristic that are eligible for a penalty (that is, they have 25 or more eligible
  discharges for at least one measure).
\b\ This column is the number of applicable hospitals that are penalized (that is, they have 25 or more eligible discharges for at least one measure and
  an estimated payment adjustment factor less than 1) within the characteristic.
\c\ This column is the percentage of applicable hospitals that are penalized among hospitals that are eligible to receive a penalty by characteristic.
\d\ This column is calculated as the sum of all penalties for the group of hospitals with that characteristic divided by total base operating DRG
  payments for all those hospitals. Measuring the financial impact on hospitals as a percentage of total base operating DRG payments in this way allows
  for comparisons across hospital characteristics that accounts for differences in the amount of base operating DRG payments for different groups of
  hospitals. MedPAR data from October 1, 2022, through September 30, 2023 (FY 2023), are used to estimate the total base operating DRG payments.
\e\ A hospital is considered a teaching hospital if it has an Indirect Medical Education adjustment factor for Operation PPS (TCHOP) greater than zero.
\f\ A hospital is considered a safety-net hospital if it is in the top DSH quintile.
\g\ DSH patient percentage is the sum of the percentage of Medicare inpatient days attributable to patients eligible for both Medicare Part A and
  Supplemental Security Income (SSI), and the percentage of total inpatient days attributable to patients eligible for Medicaid but not Medicare Part A.
\h\ MCR (Medicare Cost Report) percentage is the percentage of total inpatient stays from Medicare patients.


[[Page 18289]]

    We invite public comment on this proposal.
c. Proposal To Update and Codify the Extraordinary Circumstance 
Exception (ECE) Policy for the Hospital Readmissions Reduction Program
(1) Background
    Under our current Extraordinary Circumstances Exception (ECE) 
regulations, we have granted exceptions to exclude data from Hospital 
Readmissions Reduction Program payment reduction calculations (FY 2016 
IPPS/LTCH PPS final rule, 80 FR 49542 through 49543). An exception may 
be granted for extraordinary circumstances including, but not limited 
to, natural disasters or systemic problems with CMS data collection 
systems that directly affected the ability of facilities to submit 
data.\243\ We refer readers to the FY 2016 IPPS/LTCH PPS final rule (80 
FR 49542 through 49544); FY 2018 IPPS/LTCH PPS final rule (82 FR 38239 
through 38240), and FY 2022 IPPS/LTCH PPS final rule (86 FR 45260 
through 45262) for further background and details of our ECE policy. We 
also refer readers to the QualityNet website for the specific 
requirements for submission of an ECE request in the Hospital 
Readmissions Reduction Program.\244\ Hospitals can request a CMS 
Quality Program ECE for multiple programs based on the same 
extraordinary circumstance using one ECE request form, including the 
Hospital Inpatient Quality Reporting (IQR) Program, the Hospital VBP 
Program, and the HAC Reduction Program.
---------------------------------------------------------------------------

    \243\ Centers for Medicare & Medicaid Services (CMS) Quality 
Program Extraordinary Circumstances Exceptions (ECE) Request Form. 
(2025). QualityNet. Available at: https://qualitynet.cms.gov/files/677e843f50ed8df7419f60e1?filename=HQR_ECE_Req_Form_CY_2025.pdf.
    \244\ CMS QualityNet. Available at: https://qualitynet.cms.gov/inpatient/hrrp/participation#tab2.
---------------------------------------------------------------------------

    Our ECE policy provides flexibility for Hospital Readmissions 
Reduction Program participants to ensure continuity of quality care 
delivery and measure reporting in the event of an extraordinary 
circumstance. For instance, we recognize that, in circumstances where 
an exclusion of data from the calculation of a hospital's payment 
reduction for the applicable period is not applicable, it is beneficial 
for a hospital to submit data for use in payment reduction calculations 
later than the Hospital Readmissions Reduction Program data submission 
deadline. Delayed data submission for use in payment reduction 
calculations authorized under the ECE policy would allow temporary 
relief for a hospital experiencing an extraordinary circumstance while 
preserving data reporting such as transparency and informed decision-
making for beneficiaries and providers alike. Accordingly, we propose 
to update our regulations to specify that an ECE could take the form of 
an extension of time for a hospital to comply with a data reporting 
requirement if CMS determines that this type of relief would be 
appropriate under the circumstances.
(2) Proposals To Update and Codify the Extraordinary Circumstances 
Exception (ECE) Policy for the Hospital Readmissions Reduction Program
    We propose to update and codify our ECE policy at 42 CFR 412.154(d) 
to include extensions of time as a form of relief and to further 
clarify the policy. Specifically, at proposed Sec.  412.154(d)(1), we 
propose that CMS may grant an ECE with respect to reporting 
requirements in the event of an extraordinary circumstance--defined as 
an event beyond the control of a hospital (for example a natural or 
man-made disaster such as a hurricane, tornado, earthquake, terrorist 
attack, or bombing)--that affected the ability of the hospital to 
comply with one or more applicable reporting requirements with respect 
to a fiscal year.
    We propose that the process for requesting or granting an ECE will 
remain the same as the current ECE process, detailed by CMS at the 
QualityNet website or a successor website.\245\ At proposed Sec.  
412.154(d)(2)(i), we propose that a hospital may request an ECE within 
30 calendar days of the date that the extraordinary circumstance 
occurred. Under this proposed policy, we clarify that CMS retains the 
authority to grant an ECE as a form of relief at any time after the 
extraordinary circumstance has occurred. At proposed Sec.  
412.154(d)(2)(ii), we propose that CMS notify the requestor with a 
decision, in writing, via email. In the event that CMS grants an ECE to 
the hospital, the written decision will specify whether the hospital is 
exempted from one or more reporting requirements or whether CMS has 
granted the hospital an extension of time to comply with one or more 
reporting requirements.
---------------------------------------------------------------------------

    \245\ CMS QualityNet. Available at: https://qualitynet.cms.gov/inpatient/hrrp/participation#tab2.
---------------------------------------------------------------------------

    Additionally, at Sec.  412.154(d)(3), we propose that CMS may grant 
an ECE to one or more hospitals that have not requested an ECE, if CMS 
determines that: a systemic problem with CMS data collection system 
directly impacted the ability of the hospital to comply with a quality 
data reporting requirement; or that an extraordinary circumstance has 
affected an entire region or locale. As is the case under our current 
policy, any ECE granted will specify whether the affected hospitals are 
exempted from one or more reporting requirements or whether CMS has 
granted the hospitals an extension of time to comply with one or more 
reporting requirements.
    This proposed ECE policy would provide further reporting 
flexibility for hospitals and clarify the ECE process for participants 
of the Hospital Readmissions Reduction Program. We refer readers to 
sections X.C.8, VI.L.5, VI.M.3.b, and X.D.4 in this proposed rule for 
similar proposals in the Hospital IQR Program, Hospital VBP Program, 
HAC Reduction Program, and PCHQR Program, respectively.
    We invite public comment on our proposals.

L. Hospital Value-Based Purchasing (VBP) Program

1. Background
a. Overview
    For background on the Hospital VBP Program, we refer readers to the 
CMS website at: https://www.cms.gov/medicare/quality/initiatives/hospital-quality-initiative/hospital-value-based-purchasing. We also 
refer readers to our codified requirements for the Hospital VBP Program 
at 42 CFR 412.160 through 412.168.
b. FY 2026 Program Year Payment Details
    Under section 1886(o)(7)(C)(v) of the Act, the applicable percent 
for the FY 2026 program year is 2.00 percent. Using the methodology we 
adopted in the FY 2013 IPPS/LTCH PPS final rule (77 FR 53571 through 
53573), we estimate that the total amount available for value-based 
incentive payments for FY 2026 is approximately $1.7 billion, based on 
the December 2024 update of the FY 2024 MedPAR file.
    As finalized in the FY 2013 IPPS/LTCH PPS final rule (77 FR 53573 
through 53576), we will utilize a linear exchange function to translate 
this estimated amount available into a value-based incentive payment 
percentage for each hospital, based on its Total Performance Score 
(TPS). We are publishing proxy value-based incentive payment adjustment 
factors in Table 16 associated with this proposed rule (which is 
available via the internet on the CMS website). We note that these 
proxy adjustment factors will not be used to adjust hospital payments. 
These

[[Page 18290]]

proxy value-based incentive payment adjustment factors were calculated 
using the proposed FY 2026 Hospital VBP program methodology and 
historical baseline and performance periods for the FY 2025 Hospital 
VBP Program and the SEP-1 measure. These proxy factors were calculated 
using the December 2024 update to the FY 2024 MedPAR file. The slope of 
the linear exchange function used to calculate these proxy factors was 
4.5245231964, and the estimated amount available for value-based 
incentive payments to hospitals for FY 2026 is approximately $1.7 
billion. We intend to include an update to this table, as Table 16A, 
with the FY 2026 IPPS/LTCH PPS final rule, to reflect changes based on 
the March 2025 update to the FY 2024 MedPAR file. We will add Table 16B 
to display the actual value-based incentive payment adjustment factors, 
exchange function slope, and estimated amount available for the FY 2026 
Hospital VBP Program. We expect that Table 16B will be posted on the 
CMS website in Fall 2025.
2. Hospital VBP Program Measures
    a. Proposed Measure Updates to the Hospital-Level Risk-Standardized 
Complication Rate (RSCR) Following Elective Primary Total Hip 
Arthroplasty (THA) and/or Total Knee Arthroplasty (TKA)
(1) Background
    We are proposing to adopt substantive measure updates to the 
Hospital-level Risk-Standardized Complication Rate (RSCR) Following 
Elective Primary Total Hip Arthroplasty (THA) and/or Total Knee 
Arthroplasty (TKA) (hereinafter referred to as the COMP-HIP-KNEE 
measure), beginning with the FY 2033 program year. We are proposing 
these updates contingent on our adopting the same updates to the COMP-
HIP-KNEE measure for use in the Hospital IQR Program beginning with the 
FY 2027 payment determination, which we discuss further in section X.C. 
of the preamble of this proposed rule.
    We adopted the COMP-HIP-KNEE measure in the FY 2015 IPPS/LTCH PPS 
final rule beginning with the FY 2019 program year for use in the 
Hospital VBP Program (79 FR 50062 through 50063). We previously adopted 
substantive updates to the COMP-HIP-KNEE measure in the FY 2024 IPPS/
LTCH PPS final rule (88 FR 59067 through 59070) to include index 
admission diagnoses and in-hospital comorbidity data from Medicare Part 
A claims which expanded the measure outcome to include 26 additional 
mechanical complications as identified from 10th revision of the 
International Classification of Diseases (ICD-10) codes. We continue to 
consider the clinical outcomes of the COMP-HIP-KNEE measure a high 
priority, providing important data on patient safety and adverse 
events, which is why we are proposing to adopt additional updates to 
the COMP-HIP-KNEE measure in the Hospital VBP Program under the 
Clinical Outcomes Domain beginning with the FY 2033 program year. In 
Table VI.L.-01, we illustrate the program years for which we have 
adopted the COMP-HIP-KNEE measure and the updates that we have adopted, 
as well as the proposed updates.

 Table VI.L.-01--Summary of Current and Proposed Reporting of the COMP-
          HIP-KNEE Measure in the Hospital IQR and VBP Programs
------------------------------------------------------------------------
                                        Version of measure in use
 Payment year or program year  -----------------------------------------
           impacted                                       Hospital VBP
                                 Hospital IQR Program        Program
------------------------------------------------------------------------
FY 2026.......................  Modification 1          Original.\2\
                                 (Additional outcomes
                                 added) \1\.
FY 2027.......................  Modification 2 (Add MA  Original.
                                 patients, shorten
                                 performance period)
                                 \3\.
FY 2028.......................  Modification 2........  Original.
FY 2029.......................  Modification 2........  Original.
FY 2030.......................  N/A...................  Modification 1.
FY 2031.......................  N/A...................  Modification 1.
FY 2032.......................  N/A...................  Modification 1.
FY 2033 and Subsequent Years..  N/A...................  Modification 2.
------------------------------------------------------------------------
\1\ Modification 1 was finalized in the FY 2024 IPPS/LTCH PPS final
  rule.
\2\ Original version of the measure was finalized in the FY 2015 IPPS/
  LTCH PPS final rule.
\3\ Modification 2 is being proposed in this section of the proposed
  rule.

(2) Overview of Measure Updates
    The proposed substantive updates to the COMP-HIP-KNEE measure would 
expand the measure's inclusion criteria to (1) include Medicare 
Advantage (MA) patients and (2) shorten the performance period from 3 
years to 2 years. The addition of MA data to the measure would 
approximately double the cohort size, demonstrate measure reliability, 
and more accurately reflect the quality of care for both FFS and MA 
beneficiaries. Additionally, the proposed update to reduce the 
performance period from 3 to 2 years would allow for more recent data 
for assessing performance. Being able to report measures with only 2 
years of data with satisfactory reliability would provide more relevant 
and up to date quality information for actionable quality improvement 
insights.
    With the inclusion of MA patients in the cohort, we assessed 
whether the reliability of the measure could reach a satisfactory level 
when the performance period is shortened. Signal-to-noise reliability 
testing was calculated for all hospitals in the testing sample 
(n=3,124) and hospitals with at least 25 cases (n=1,777), using 2 years 
of data for analysis (CY 2022/2023). For hospitals with at least 25 
cases, the median reliability score was 0.784, ranging from 0.545 to 
0.997. The 25th and 75th percentiles were 0.673 and 0.883, 
respectively. Therefore 75% of hospitals exceed a 0.6 reliability 
score, using the 2 year FFS and MA combined cohort, and we believe that 
this reliability score demonstrates that 2 years of data provide 
satisfactory reliability.
    The proposed updated COMP-HIP-KNEE measure would use index 
admission diagnoses and procedure codes from Medicare FFS claims and MA 
encounter data to determine cohort inclusion criteria, complications 
outcomes, and present on admission (POA) comorbidities. We would assess 
additional comorbidities prior to the index (initial) admission using 
Part A inpatient, outpatient, and Part B office visit Medicare claims 
and MA encounters in the 12 months prior to index admission. We would 
obtain enrollment status from the Medicare Enrollment Database which 
contains beneficiary demographic, benefit/

[[Page 18291]]

coverage, and vital status information. We refer readers to section 
X.C. of the preamble of this proposed rule for more information on the 
proposed updates. As stated previously, these proposed updates in the 
Hospital VBP Program are contingent on our adopting them in the 
Hospital IQR Program.
(3) Pre-Rulemaking Process and Measure Endorsement
    We listed this updated COMP-HIP-KNEE measure in the publicly 
available document entitled ``List of Measures Under Consideration for 
December 1, 2024'' (the ``MUC List'') with identification number 
MUC2024-042.246 247 248 We refer readers to section X.C. of 
the preamble of this proposed rule for a discussion of the Pre-
Rulemaking Measure Review (PRMR) meeting for this measure.
---------------------------------------------------------------------------

    \246\ Centers for Medicare & Medicaid Services. (2024) Overview 
of the List of Measures Under Consideration December 1, 2024. 
Available at: https://mmshub.cms.gov/sites/default/files/2024-MUC-List-Overview.pdf.
    \247\ Centers for Medicare and Medicaid Services. (2024) 2024 
MUC List. Available at: https://mmshub.cms.gov/sites/default/files/2024-MUC-List.xlsx.
    \248\ We note that the measure denominator of the updated COMP-
HIP-KNEE measure, as described in the MUC List, excludes patients 
with a principal diagnosis code of COVID-19 ICD-10 code (U07.1) or 
with a secondary diagnosis code of COVID-19 coded as present on 
admission (POA) on the index admission claim. As discussed further 
below, we are providing notice of our intent to remove this 
exclusion from the measure.
---------------------------------------------------------------------------

    The CBE previously re-endorsed the original measure in July of 
2021.\249\ We submitted the measure with the proposed modifications 
(CBE #1550) for re-endorsement for the Fall 2024 cycle. The CBE's 
Endorsement & Maintenance Cost and Efficiency Committee convened in the 
Fall 2024 cycle to review the COMP-HIP-KNEE measure that was submitted 
to the CBE for re-endorsement. The E&M Cost and Efficiency Committee 
voted, and did not reach consensus on this measure on February 10, 
2025.\250\ Thus, the measure was not re-endorsed by the CBE.
---------------------------------------------------------------------------

    \249\ Centers for Medicare & Medicaid Services. (2022) MAP 2021-
2022 Considerations for Implementing Measures Final Report--
Clinicians, Hospitals, and PAC-LTC. Available at: https://www.qualityforum.org/Publications/2022/03/MAP_2021-2022_Considerations_for_Implementing_Measures_Final_Report_-_Clinicians,_Hospitals,_and_PAC-LTC.aspx.
    \250\ Battelle--Partnership for Quality Measurement. (2025). 
Fall 2024 Endorsement Summary Report. This report will be available 
through this link: https://p4qm.org/projects/cost-and-efficiency.
---------------------------------------------------------------------------

    The committee discussed concerns about the case mix of patients, 
noting the shift from inpatient to outpatient for these elective 
procedures and that healthier patients may be directed to ambulatory 
surgical centers, leaving acute care hospitals with higher-risk 
individuals, which could affect case mix and measure outcomes. Another 
concern discussed was the limited scope of the measure which only 
includes inpatient complications, and whether this limited scope 
provides utility and relevance for patients. Additional concerns 
discussed include the overall approach to adjusting low-volume provider 
performance to the average, and that scores for lower volume providers 
may be misleading to patients.
    Regarding concerns on patient mix, we note that this measure 
focuses on higher-risk patients and is intentionally narrow to capture 
significant complications, such as sepsis, pulmonary embolism, or a 
second surgery which should be treated in the inpatient setting. We 
wish to emphasize that those having elective THA or TKA procedures 
within the inpatient setting must meet certain criteria, resulting in a 
smaller cohort of patients, and in communities where there are no 
ambulatory care centers the patient would be treated in the hospital 
outpatient department and would not be counted in this measure. 
Regarding comments about adjusting for low patient volume, the goal of 
this measure and adjusting for low volume is to make performance scores 
available for as many providers as possible while trying to avoid 
misclassification or profiling of providers. We further note that 
scores are not available for facilities with fewer than 25 cases, 
because the number of cases may be too small for meaningful results. We 
wish to emphasize that this measure has been an important patient 
safety measure that has provided meaningful quality and patient safety 
information for patients on the hospital inpatient setting for a 
substantial period of time. Further, we are committed to continually 
improving quality and patient safety for as many patients as possible 
within the inpatient setting.
    Section 1886(o)(2)(A) of the Act requires the Hospital VBP Program 
to select measures that have been specified for the Hospital IQR 
Program. We note that although section 1886(b)(3)(B)(viii)(IX)(aa) of 
the Act generally requires measures specified by the Secretary in the 
Hospital IQR Program be endorsed by the entity with a contract under 
section 1890(a) of the Act, section 1886(b)(3)(B)(viii)(IX)(bb) of the 
Act states that in the case of a specified area or medical topic 
determined appropriate by the Secretary for which a feasible and 
practical measure has not been endorsed by the entity with a contract 
under section 1890(a) of the Act, the Secretary may specify a measure 
that is not endorsed as long as due consideration is given to measures 
that have been endorsed or adopted by a consensus organization 
identified by the Secretary. We reviewed CBE-endorsed measures and were 
unable to identify any other CBE-endorsed measures on this topic, and, 
therefore, the exception in section 1886(b)(3)(B)(viii)(IX)(bb) of the 
Act applies.
(4) Data Source, Submission and Public Reporting
    To continue to assess clinical outcomes, we are proposing to adopt 
these measure updates to the COMP-HIP-KNEE measure in the Hospital VBP 
Program under the Clinical Outcomes Domain beginning with the FY 2033 
program year, contingent on our adoption of these changes in the 
Hospital IQR Program as described in section X.C. of the preamble of 
this proposed rule. If finalized, we would begin posting the updated 
measure data on the Compare tool beginning in July 2026, which would 
enable us to post data on the substantive updates to the measure for at 
least one year before the proposed adoption beginning with the April 1, 
2029-March 31, 2031, performance period which is associated with the FY 
2033 payment determination, as required by section 1886(o)(2)(C)(i) of 
the Act.\251\ We are also proposing that the performance standards 
calculation methodology for the updated COMP-HIP-KNEE measure would be 
the same as that which we currently use for the measure. The 
performance standards for the updated measure for FY 2033 are not yet 
available.
---------------------------------------------------------------------------

    \251\ We note that this performance period would only be 2 years 
instead of 3 if the proposed updates to the COMP-HIP-KNEE measure, 
which includes shortening of the performance period, are adopted.
---------------------------------------------------------------------------

    We invite public comment on this proposal.
b. Technical Updates to the Specifications of the COMP-HIP-KNEE Measure 
To Update the Risk Adjustment Model Beginning With the FY 2027 Program 
Year
    In addition to the updates discussed previously and further updates 
we discuss below, we provide notice of our intent to make a non-
substantive modification, as permitted under Sec.  412.164(c)(1), to 
the COMP-HIP-KNEE measure to update the risk adjustment model to use 
individual International Classification of Diseases (ICD)-10 codes 
instead of Hierarchical Condition Categories (HCCs). Under this 
technical updates policy, we use a

[[Page 18292]]

subregulatory process to incorporate technical measure specification 
updates into the measure specifications we have adopted for the 
Hospital VBP Program (79 FR 50077 through 50079). We continue to 
believe that this policy, codified at 42 CFR 412.164(c)(1), is the most 
expeditious manner possible to ensure that quality measures remain 
fully up to date while preserving the public's ability to comment on 
substantive updates, which so fundamentally change a measure that it is 
no longer the same measure that we originally adopted. The current risk 
adjustment strategy for this measure involves grouping ICD-10 diagnosis 
codes from CMS's HCC system into clinically relevant categories. We 
then evaluate the HCCs for statistical association with the measure's 
outcome.\252\ However, research has indicated that using individual ICD 
codes in place of HCCs could significantly improve the model 
performance of the mortality measures.\253\ To better leverage the data 
and analytical advances since the measure was initially developed, we 
created a new approach to use individual ICD-10 codes for risk 
adjustment instead of grouping them into categories. With this new 
approach, the discriminative performance of the risk adjustment model 
as measured by c-statistic was significantly better and the calibration 
performance also proved to be satisfactory.
---------------------------------------------------------------------------

    \252\ Centers for Medicare & Medicaid Services. 2024 Condition-
Specific Measure Updates and Specifications Report. Available at: 
https://qualitynet.cms.gov/inpatient/measures/mortality/methodology.
    \253\ Krumholz, H.M., Coppi, A.C., Warner, F., Triche, E.W., Li, 
S.X., Mahajan, S., Li, Y., Bernheim, S.M., Grady, J., Dorsey, K., 
Lin, Z., & Normand, S.T. (2019). Comparative Effectiveness of New 
Approaches to Improve Mortality Risk Models From Medicare Claims 
Data. JAMA network open, 2(7), e197314. https://doi.org/10.1001/jamanetworkopen.2019.7314.
---------------------------------------------------------------------------

c. Technical Updates to the Specifications of the Five Condition- and 
Procedure-Specific Mortality Measures and the COMP-HIP-KNEE Measure 
Beginning With the FY 2027 Program Year
    During the COVID-19 public health emergency, in the FY 2022 IPPS/
LTCH PPS final rule, we stated that we were updating the Hospital 30-
Day, All-Cause, Risk-Standardized Mortality Rate Following Acute 
Myocardial Infarction (AMI) Hospitalization (MORT-30-AMI), Hospital 30-
Day, All-Cause, Risk-Standardized Mortality Rate Following Coronary 
Artery Bypass Graft (CABG) Surgery (MORT-30-CABG), Hospital 30-Day, 
All-Cause, Risk-Standardized Mortality Rate Following Chronic 
Obstructive Pulmonary Disease (COPD) Hospitalization (MORT-30 COPD), 
Hospital 30-Day, All-Cause, Risk-Standardized Mortality Rate Following 
Heart Failure (HF) Hospitalization (MORT-30-HF), and Hospital-Level 
Risk-Standardized Complication Rate Following Elective Primary Total 
Hip Arthroplasty (THA) and/or Total Knee Arthroplasty (TKA) (COMP-HIP-
KNEE) measures to exclude admissions with either a principal or 
secondary diagnosis of COVID-19 present on admission from the measure 
denominators (86 FR 45279 through 45281). In the FY 2023 IPPS/LTCH PPS 
final rule, we also updated the technical specifications for the 
Hospital 30-Day, All-Cause, Risk-Standardized Mortality Rate Following 
Pneumonia Hospitalization (MORT-30-PN) measure to exclude patients with 
either principal or secondary diagnoses of COVID-19 from the measure 
denominator (87 FR 49109 through 49110). Additionally, we further 
modified the technical measure specifications for all six measures in 
the Clinical Outcomes domain, the MORT-30-AMI, MORT-30-CABG, MORT-30-
COPD, MORT-30-HF, MORT-30-PN, and COMP-HIP-KNEE measures, in the FY 
2023 IPPS/LTCH PPS final rule to include a covariate adjustment for 
patient history of COVID-19 in the 12 months prior to the admission 
beginning with the FY 2023 program year (87 FR 49106 through 49109).
    We stated that we were making these updates pursuant to the 
technical updates policy we finalized in the FY 2015 IPPS/LTCH PPS 
final rule. We refer readers to the previous section of the preamble of 
this proposed rule for more details on our subregulatory technical 
updates policy.
    Accordingly, we are providing notice in this proposed rule that we 
intend to remove the COVID-19 exclusions from the five condition- and 
procedure-specific mortality measures and one procedure-specific 
complication measure beginning with the FY 2027 program year. This 
technical update will modify the technical specifications of the MORT-
30-AMI, MORT-30-CABG, MORT-30-COPD, MORT-30-HF, and MORT-30-PN measures 
to include the ICD-10 codes that identify patients with a principal or 
secondary diagnosis of COVID-19 in the measure denominators. The 
technical update will also modify the technical specifications of the 
COMP-HIP-KNEE measure to include the ICD-10 codes that identify 
patients with a principal or secondary diagnosis of COVID-19 in both 
the measure numerator and denominator. Lastly, the technical update 
will remove the covariate adjustment for patient history of COVID-19 in 
the 12 months prior to the admission for all six measures in the 
Clinical Outcomes domain for the Hospital VBP Program beginning with 
the FY 2027 program year.
    We believe that including COVID-19 patients in the measure 
specifications for the measures in the Clinical Outcomes domain 
beginning with the FY 2027 program year provides a more complete 
picture of the care quality provided in hospitals, which we believe 
meets the goals of the Hospital VBP Program. Technical specifications 
of the Hospital VBP Program mortality and complication measures are 
provided on our website under the Measure Methodology Reports section 
(available at: https://qualitynet.cms.gov/inpatient/measures/mortality/methodology and https://qualitynet.cms.gov/inpatient/measures/complication/methodology). Additional resources about the measure 
technical specifications and methodology for the Hospital VBP Program 
are on the QualityNet website (available at: https://qualitynet.cms.gov/inpatient/hvbp).
d. Summary of Previously Adopted Quality Measures for the Hospital VBP 
Program
    We refer readers to the FY 2025 IPPS/LTCH PPS final rule for 
summaries of the previously adopted measures for the FY 2026 through FY 
2030 program years (89 FR 69402). We are not proposing any changes to 
the measure set. Table VI.L.-02 summarizes the previously adopted 
Hospital VBP Program measure set for the FY 2026 program year.

[[Page 18293]]



 Table VI.L.-02--Summary of Previously Adopted Measures for the FY 2026
                              Program Year
------------------------------------------------------------------------
       Measure short name          Domain/measure name        CBE No.
------------------------------------------------------------------------
                 Person and Community Engagement Domain
------------------------------------------------------------------------
HCAHPS.........................  Hospital Consumer           0166 (0228)
                                  Assessment of
                                  Healthcare Providers
                                  and Systems (HCAHPS)
                                  (including Care
                                  Transition and
                                  Responsiveness of
                                  Hospital Staff
                                  dimensions).
------------------------------------------------------------------------
                              Safety Domain
------------------------------------------------------------------------
CAUTI..........................  National Healthcare                0138
                                  Safety Network (NHSN)
                                  Catheter Associated
                                  Urinary Tract
                                  Infection (CAUTI)
                                  Outcome Measure.
CLABSI.........................  National Healthcare                0139
                                  Safety Network (NHSN)
                                  Central Line
                                  Associated Bloodstream
                                  Infection (CLABSI)
                                  Outcome Measure.
Colon and Abdominal              American College of                0753
 Hysterectomy SSI.                Surgeons Centers for
                                  Disease Control and
                                  Prevention (ACS-CDC)
                                  Harmonized Procedure
                                  Specific Surgical Site
                                  Infection (SSI)
                                  Outcome Measure.
MRSA Bacteremia................  National Healthcare                1716
                                  Safety Network (NHSN)
                                  Facility wide
                                  Inpatient Hospital
                                  onset Methicillin-
                                  resistant
                                  Staphylococcus aureus
                                  (MRSA) Bacteremia
                                  Outcome Measure.
CDI............................  National Healthcare                1717
                                  Safety Network (NHSN)
                                  Facility wide
                                  Inpatient Hospital
                                  onset Clostridium
                                  difficile Infection
                                  (CDI) Outcome Measure.
SEP-1..........................  Severe Sepsis and                  0500
                                  Septic Shock:
                                  Management Bundle.
------------------------------------------------------------------------
                        Clinical Outcomes Domain
------------------------------------------------------------------------
MORT-30-AMI....................  Hospital 30-Day, All-              0230
                                  Cause, Risk-
                                  Standardized Mortality
                                  Rate Following Acute
                                  Myocardial Infarction
                                  (AMI) Hospitalization.
MORT-30-HF.....................  Hospital 30-Day, All-              0229
                                  Cause, Risk-
                                  Standardized Mortality
                                  Rate Following Heart
                                  Failure (HF)
                                  Hospitalization.
MORT-30-PN.....................  Hospital 30-Day, All-              0468
                                  Cause, Risk-
                                  Standardized Mortality
                                  Rate Following
                                  Pneumonia
                                  Hospitalization.
MORT-30-COPD...................  Hospital 30-Day, All-              1893
                                  Cause, Risk-
                                  Standardized Mortality
                                  Rate Following Chronic
                                  Obstructive Pulmonary
                                  Disease (COPD)
                                  Hospitalization.
MORT-30-CABG...................  Hospital 30-Day, All-              2558
                                  Cause, Risk-
                                  Standardized Mortality
                                  Rate Following
                                  Coronary Artery Bypass
                                  Graft (CABG) Surgery.
COMP-HIP-KNEE..................  Hospital Level Risk-               1550
                                  Standardized
                                  Complication Rate
                                  Following Elective
                                  Primary Total Hip
                                  Arthroplasty (THA) and/
                                  or Total Knee
                                  Arthroplasty (TKA).
------------------------------------------------------------------------
                  Efficiency and Cost Reduction Domain
------------------------------------------------------------------------
MSPB...........................  Medicare Spending Per              2158
                                  Beneficiary (MSPB)
                                  Hospital.
------------------------------------------------------------------------

    Table VI.L.-03 summarizes the previously adopted Hospital VBP 
Program measures for the FY 2027 through FY 2031 program years.

 Table VI.L.-03--Summary of Previously Adopted Measures for the FY 2027
                      Through FY 2031 Program Years
------------------------------------------------------------------------
       Measure short name          Domain/measure name        CBE No.
------------------------------------------------------------------------
                 Person and Community Engagement Domain
------------------------------------------------------------------------
HCAHPS *.......................  Hospital Consumer           0166 (0228)
                                  Assessment of
                                  Healthcare Providers
                                  and Systems (HCAHPS)
                                  (including Care
                                  Transition and
                                  Responsiveness of
                                  Hospital Staff
                                  dimensions).
------------------------------------------------------------------------
                              Safety Domain
------------------------------------------------------------------------
CAUTI..........................  National Healthcare                0138
                                  Safety Network (NHSN)
                                  Catheter Associated
                                  Urinary Tract
                                  Infection (CAUTI)
                                  Outcome Measure.
CLABSI.........................  National Healthcare                0139
                                  Safety Network (NHSN)
                                  Central Line
                                  Associated Bloodstream
                                  Infection (CLABSI)
                                  Outcome Measure.
Colon and Abdominal              American College of                0753
 Hysterectomy SSI.                Surgeons Centers for
                                  Disease Control and
                                  Prevention (ACS-CDC)
                                  Harmonized Procedure
                                  Specific Surgical Site
                                  Infection (SSI)
                                  Outcome Measure.
MRSA Bacteremia................  National Healthcare                1716
                                  Safety Network (NHSN)
                                  Facility wide
                                  Inpatient Hospital
                                  onset Methicillin-
                                  resistant
                                  Staphylococcus aureus
                                  (MRSA) Bacteremia
                                  Outcome Measure.
CDI............................  National Healthcare                1717
                                  Safety Network (NHSN)
                                  Facility wide
                                  Inpatient Hospital
                                  onset Clostridium
                                  difficile Infection
                                  (CDI) Outcome Measure.
SEP-1..........................  Severe Sepsis and                  0500
                                  Septic Shock:
                                  Management Bundle.
------------------------------------------------------------------------

[[Page 18294]]

 
                        Clinical Outcomes Domain
------------------------------------------------------------------------
MORT-30-AMI....................  Hospital 30-Day, All-              0230
                                  Cause, Risk-
                                  Standardized Mortality
                                  Rate Following Acute
                                  Myocardial Infarction
                                  (AMI) Hospitalization.
MORT-30-HF.....................  Hospital 30-Day, All-              0229
                                  Cause, Risk-
                                  Standardized Mortality
                                  Rate Following Heart
                                  Failure (HF)
                                  Hospitalization.
MORT-30-PN.....................  Hospital 30-Day, All-              0468
                                  Cause, Risk-
                                  Standardized Mortality
                                  Rate Following
                                  Pneumonia
                                  Hospitalization.
MORT-30-COPD...................  Hospital 30-Day, All-              1893
                                  Cause, Risk-
                                  Standardized Mortality
                                  Rate Following Chronic
                                  Obstructive Pulmonary
                                  Disease (COPD)
                                  Hospitalization.
MORT-30-CABG...................  Hospital 30-Day, All-              2558
                                  Cause, Risk-
                                  Standardized Mortality
                                  Rate Following
                                  Coronary Artery Bypass
                                  Graft (CABG) Surgery.
COMP-HIP-KNEE..................  Hospital Level Risk-               1550
                                  Standardized
                                  Complication Rate
                                  Following Elective
                                  Primary Total Hip
                                  Arthroplasty (THA) and/
                                  or Total Knee
                                  Arthroplasty (TKA).
------------------------------------------------------------------------
                  Efficiency and Cost Reduction Domain
------------------------------------------------------------------------
MSPB...........................  Medicare Spending Per              2158
                                  Beneficiary (MSPB)
                                  Hospital.
------------------------------------------------------------------------
* In the FY 2025 IPPS/LTCH PPS final rule, we adopted the updated HCAHPS
  Survey measure in the Hospital VBP Program beginning with the FY 2030
  program (89 FR 69508 through 69511). The Care Transition and
  Responsiveness of Hospital Staff dimensions will be included in the
  HCAHPS survey but not scored for FY 2027 through FY 2029, and will not
  be included in the HCAHPS survey beginning with FY 2030.

3. Baseline and Performance Periods for the FY 2027 Through FY 2031 
Program Years
a. Background
    We refer readers to the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69403 through 69405) for previously adopted baseline and performance 
periods for the FY 2026 through FY 2030 program years. We also refer 
readers to the FY 2017 IPPS/LTCH PPS final rule (81 FR 56998) in which 
we finalized a schedule for all future baseline and performance 
periods.
b. Summary of Baseline and Performance Periods for the FY 2027 Through 
FY 2031 Program Years
    Tables VI.L.-04, VI.L.-05, VI.L.-06, VI.L.-07, and VI.L.-08 
summarize the baseline and performance periods that we have previously 
adopted.

Table VI.L.-04--Baseline and Performance Periods for the FY 2027 Program
                                  Year
------------------------------------------------------------------------
            Measures                Baseline period   Performance period
------------------------------------------------------------------------
                 Person and Community Engagement Domain
------------------------------------------------------------------------
HCAHPS..........................  January 1, 2023-    January 1, 2025-
                                   December 31, 2023.  December 31,
                                                       2025.
------------------------------------------------------------------------
                        Clinical Outcomes Domain
------------------------------------------------------------------------
Mortality measures (MORT-30-AMI,  July 1, 2017-June   July 1, 2022-June
 MORT-30-HF, MORT-30-COPD, MORT-   30, 2020 *.         30, 2025.
 30-CABG, MORT-30-PN).
COMP-HIP-KNEE...................  April 1, 2017-      April 1, 2022-
                                   March 31, 2020 *.   March 31, 2025.
------------------------------------------------------------------------
                              Safety Domain
------------------------------------------------------------------------
NHSN measures (CAUTI, CLABSI,     January 1, 2023-    January 1, 2025-
 Colon and Abdominal               December 31, 2023.  December 31,
 Hysterectomy SSI, CDI, MRSA                           2025.
 Bacteremia).
SEP-1...........................  January 1, 2023-    January 1, 2025-
                                   December 31, 2023.  December 31,
                                                       2025.
------------------------------------------------------------------------
                  Efficiency and Cost Reduction Domain
------------------------------------------------------------------------
MSPB............................  January 1, 2023-    January 1, 2025-
                                   December 31, 2023.  December 31,
                                                       2025.
------------------------------------------------------------------------
* These baseline periods are impacted by the extraordinary circumstance
  exception (ECE) granted by CMS on March 22, 2020, due to the COVID-19
  public health emergency. Qualifying claims will be excluded from the
  measure calculations for January 1, 2020-March 31, 2020 (Q1 2020), and
  April 1, 2020-June 30, 2020 (Q2 2020), from the claims-based
  complication and mortality measures. For more detailed information, we
  refer readers to the FY 2022 IPPS/LTCH PPS final rule (86 FR 45297
  through 45299).


Table VI.L.-05--Baseline and Performance Periods for the FY 2028 Program
                                  Year
------------------------------------------------------------------------
            Measures                Baseline period   Performance period
------------------------------------------------------------------------
                 Person and Community Engagement Domain
------------------------------------------------------------------------
HCAHPS..........................  January 1, 2024-    January 1, 2026-
                                   December 31, 2024.  December 31,
                                                       2026.
------------------------------------------------------------------------

[[Page 18295]]

 
                        Clinical Outcomes Domain
------------------------------------------------------------------------
Mortality measures (MORT-30-AMI,  July 1, 2018-June   July 1, 2023-June
 MORT-30-HF, MORT3-0-COPD, MORT-   30, 2021 *.         30, 2026.
 30-CABG, MORT-30-PN).
COMP-HIP-KNEE...................  April 1, 2018-      April 1, 2023-
                                   March 31, 2021 *.   March 31, 2026.
------------------------------------------------------------------------
                              Safety Domain
------------------------------------------------------------------------
NHSN measures (CAUTI, CLABSI,     January 1, 2024-    January 1, 2026-
 Colon and Abdominal               December 31, 2024.  December 31,
 Hysterectomy SSI, CDI, MRSA                           2026.
 Bacteremia).
SEP-1...........................  January 1, 2024-    January 1, 2026-
                                   December 31, 2024.  December 31,
                                                       2026.
------------------------------------------------------------------------
                  Efficiency and Cost Reduction Domain
------------------------------------------------------------------------
MSPB............................  January 1, 2024-    January 1, 2026-
                                   December 31, 2024.  December 31,
                                                       2026.
------------------------------------------------------------------------
* These baseline periods are impacted by the ECE granted by CMS on March
  22, 2020. Qualifying claims will be excluded from the measure
  calculations for January 1, 2020-March 31, 2020 (Q1 2020), and April
  1, 2020-June 30, 2020 (Q2 2020), from the claims-based complication
  and mortality measures. For more detailed information, we refer
  readers to the FY 2022 IPPS/LTCH PPS final rule (86 FR 45297 through
  45299).


Table VI.L.-06--Baseline and Performance Periods for the FY 2029 Program
                                  Year
------------------------------------------------------------------------
            Measures                Baseline period   Performance period
------------------------------------------------------------------------
                 Person and Community Engagement Domain
------------------------------------------------------------------------
HCAHPS..........................  January 1, 2025-    January 1, 2027-
                                   December 31, 2025.  December 31,
                                                       2027.
------------------------------------------------------------------------
                        Clinical Outcomes Domain
------------------------------------------------------------------------
Mortality measures (MOR-T30-AMI,  July 1, 2019-June   July 1, 2024-June
 MORT-30-HF, MORT-30-COPD, MORT-   30, 2022 *.         30, 2027.
 30-CABG, MORT-30-PN).
COMP-HIP-KNEE...................  April 1, 2019-      April 1, 2024-
                                   March 31, 2022 *.   March 31, 2027.
------------------------------------------------------------------------
                              Safety Domain
------------------------------------------------------------------------
NHSN measures (CAUTI, CLABSI,     January 1, 2025-    January 1, 2027-
 Colon and Abdominal               December 31, 2025.  December 31,
 Hysterectomy SSI, CDI, MRSA                           2027.
 Bacteremia).
SEP-1...........................  January 1, 2025-    January 1, 2027-
                                   December 31, 2025.  December 31,
                                                       2027.
------------------------------------------------------------------------
                  Efficiency and Cost Reduction Domain
------------------------------------------------------------------------
MSPB............................  January 1, 2025-    January 1, 2027-
                                   December 31, 2025.  December 31,
                                                       2027.
------------------------------------------------------------------------
* These baseline periods are impacted by the ECE granted by CMS on March
  22, 2020. Qualifying claims will be excluded from the measure
  calculations for January 1, 2020-March 31, 2020 (Q1 2020), and April
  1, 2020-June 30, 2020 (Q2 2020), from the claims-based complication
  and mortality measures. For more detailed information, we refer
  readers to the FY 2022 IPPS/LTCH PPS final rule (86 FR 45297 through
  45299).


Table VI.L.-07--Baseline and Performance Periods for the FY 2030 Program
                                  Year
------------------------------------------------------------------------
            Measures                Baseline period   Performance period
------------------------------------------------------------------------
                 Person and Community Engagement Domain
------------------------------------------------------------------------
HCAHPS..........................  January 1, 2026-    January 1, 2028-
                                   December 31, 2026.  December 31,
                                                       2028.
------------------------------------------------------------------------
                        Clinical Outcomes Domain
------------------------------------------------------------------------
Mortality measures (MORT-30-AMI,  July 1, 2020-June   July 1, 2025-June
 MORT-30-HF, MORT3-0-COPD, MORT-   30, 2023.           30, 2028.
 30-CABG, MORT-30-PN).
COMP-HIP-KNEE...................  April 1, 2020-      April 1, 2025-
                                   March 31, 2023 *.   March 31, 2028.
------------------------------------------------------------------------
                              Safety Domain
------------------------------------------------------------------------
NHSN measures (CAUTI, CLABSI,     January 1, 2026-    January 1, 2028-
 Colon and Abdominal               December 31, 2026.  December 31,
 Hysterectomy SSI, CDI, MRSA                           2028.
 Bacteremia).
SEP-1...........................  January 1, 2026-    January 1, 2028-
                                   December 31, 2026.  December 31,
                                                       2028.
------------------------------------------------------------------------

[[Page 18296]]

 
                  Efficiency and Cost Reduction Domain
------------------------------------------------------------------------
MSPB............................  January 1, 2026-    January 1, 2028-
                                   December 31, 2026.  December 31,
                                                       2028.
------------------------------------------------------------------------
* This baseline period is impacted by the ECE granted by CMS on March
  22, 2020. Qualifying claims will be excluded from the measure
  calculation for January 1, 2020-March 31, 2020 (Q1 2020), and April 1,
  2020-June 30, 2020 (Q2 2020), from the claims-based complication
  measure. For more detailed information, we refer readers to the FY
  2022 IPPS/LTCH PPS final rule (86 FR 45297 through 45299).


Table VI.L.-08--Baseline and Performance Periods for the FY 2031 Program
                                  Year
------------------------------------------------------------------------
            Measures                Baseline period   Performance period
------------------------------------------------------------------------
                 Person and Community Engagement Domain
------------------------------------------------------------------------
HCAHPS..........................  January 1, 2027-    January 1, 2029-
                                   December 31, 2027.  December 31,
                                                       2029.
------------------------------------------------------------------------
                        Clinical Outcomes Domain
------------------------------------------------------------------------
Mortality measures (MORT-30-AMI,  July 1, 2021-June   July 1, 2026-June
 MORT-30-HF, MORT3-0-COPD, MORT-   30, 2024.           30, 2029.
 30-CABG, MORT-30-PN).
COMP-HIP-KNEE...................  April 1, 2021-      April 1, 2026-
                                   March 31, 2024.     March 31, 2029.
------------------------------------------------------------------------
                              Safety Domain
------------------------------------------------------------------------
NHSN measures (CAUTI, CLABSI,     January 1, 2027-    January 1, 2029-
 Colon and Abdominal               December 31, 2027.  December 31,
 Hysterectomy SSI, CDI, MRSA                           2029.
 Bacteremia).
SEP-1...........................  January 1, 2027-    January 1, 2029-
                                   December 31, 2027.  December 31,
                                                       2029.
------------------------------------------------------------------------
                  Efficiency and Cost Reduction Domain
------------------------------------------------------------------------
MSPB............................  January 1, 2027-    January 1, 2029-
                                   December 31, 2027.  December 31,
                                                       2029.
------------------------------------------------------------------------

4. Performance Standards for the Hospital VBP Program
a. Background
    We refer readers to the FY 2024 IPPS/LTCH PPS final rule (88 FR 
59089) for previously established performance standards for the FY 2026 
program year. We also refer readers to the FY 2025 IPPS/LTCH PPS final 
rule (89 FR 69406 through 69407) for the previously established 
performance standards for the FY 2027 program year.
b. Technical Update to the Five National Healthcare Safety Network 
(NHSN) Healthcare-Associated Infection (HAI) Measures
    In this section, we provide information regarding upcoming changes 
to the standard population data that are used to calculate the 
standardized infection ratio (SIR) for the CDC's NHSN measures. These 
changes are occurring as part of routine measure maintenance.
    CDC's NHSN measures are used to monitor hospital performance on 
prevention of HAIs. For each NHSN measure, CDC calculates the 
standardized infection ratio (SIR), which compares a hospital's 
observed number of HAIs to the number of infections predicted for the 
hospital, adjusting for several risk factors. The predicted number of 
infections is determined using the amount of exposure (for example, the 
number of central line days when predicting CLABSI events) for a given 
hospital according to the relevant observed risk factors and infection 
rates for the same combination of risk factors that occurred among a 
standard population during a specified period as reflected by the 
appropriate risk adjustment model (this is sometimes referred to as a 
``baseline,'' \254\ but referred to here as ``standard population 
data''). This set of rates forms standard population data that promotes 
timely comparisons to measure change in an outcome. Since 2016, CDC has 
been using data collected in CY 2015 to determine the standard 
population and, currently, the 2015 standard population is used to 
calculate the HAI measures in the Hospital VBP Program.\255\ Prior to 
2016, calculated SIRs had different standard population years for each 
infection type and facility type.\256\
---------------------------------------------------------------------------

    \254\ ``Rebaseline'' is a term that CDC's NHSN staff use to 
describe the process of updating the national HAI baseline data and 
risk adjustment models developed using these data. As part of 
routine measure maintenance, CDC has updated the baseline to ensure 
the number of predicted infections used in SIR calculations reflects 
the current state of HAIs in the United States using CY 2022 data. 
The CDC released its initial announcement of this rebaseline in June 
2023. Resources and training regarding the 2015 and 2022 standard 
population data can be found at: https://www.cdc.gov/nhsn/nhsnrebaseline/index.html.
    \255\ Centers for Disease Control and Prevention. CHARTING THE 
COURSE: 2022 HAI REBASELINE. Available at: https://www.cdc.gov/nhsn/pdfs/rebaseline/22-Rebaseline-FAQs-Final-Version.pdf.
    \256\ Centers for Disease Control and Prevention. Paving the 
Path Forward: 2015 Rebaseline. Available at: https://www.cdc.gov/nhsn/2015rebaseline/index.html.
---------------------------------------------------------------------------

    During this update, HAI SIR calculations of infections reported 
beginning in CY 2025 will reflect the use of both the new 2022 standard 
population data and the 2015 standard population data.
    Because the Hospital VBP Program calculates improvement points 
using comparisons between data collected from hospitals in a baseline 
period and data collected in a performance period, the Hospital VBP 
Program must treat CDC's baseline update differently than other quality 
programs. We have determined that we cannot equally compare CDC's new 
baseline data to the current baseline data to calculate improvement 
points. If we do not address the CDC's measure update, we will be 
unable to compare the baseline and performance periods for NHSN 
measures in the FY 2027 through FY 2028 program years. To address the

[[Page 18297]]

problem, we intend to use the 2015 baseline data to calculate 
performance standards and calculate and publicly report measure scores 
until the FY 2029 program year, as depicted in the table below. For the 
FY 2029 program year and subsequent years, the Hospital VBP Program 
will use the ``new standard population data'' (that is, CY 2022 data) 
to calculate performance standards and calculate and publicly report 
measure scores.

                                                                 Table VI.L.-09--CDC's Baseline Data in the Hospital VBP Program
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
              Measures                        FY 2026 Program year *                 FY 2027 Program year *                 FY 2028 Program year *                 FY 2029 Program year *
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
NHSN Measures Baseline Periods......  2015 Baseline Data...................  2015 Baseline Data...................  2015 Baseline Data...................  2022 Baseline Data.
NHSN Measures Performance Period....  2015 Baseline Data...................  2015 Baseline Data...................  2015 Baseline Data...................  2022 Baseline Data.
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
* CDC will use current baseline data (CY 2015) to calculate measure data that we will translate into scores on the measures.
** CDC will use new baseline data (CY 2022) to calculate measure data that we will translate into scores on the measures.

c. Previously and Newly Established Performance Standards for the FY 
2027 Program Year
    We have adopted certain measures for the Safety domain, Clinical 
Outcomes domain, and the Efficiency and Cost Reduction domain for 
future program years to ensure that we can adopt baseline and 
performance periods of sufficient length for performance scoring 
purposes. In the FY 2022 IPPS/LTCH PPS final rule (86 FR 45294 through 
45295), we established performance standards for the FY 2027 program 
year for the Clinical Outcomes domain measures (MORT-30-AMI, MORT-30-
HF, MORT-30-PN (updated cohort), MORT-30-COPD, MORT-30-CABG, and COMP-
HIP-KNEE) and the Efficiency and Cost Reduction domain measure (MSPB). 
Additionally, in the FY 2025 IPPS/LTCH PPS final rule, we established 
the performance standards for the FY 2027 program year for the Safety 
domain measures (CAUTI, CLABSI, CDI, MRSA Bacteremia, Colon and 
Abdominal Hysterectomy SSI, and SEP-1) and the Person and Community 
Engagement Domain (the HCAHPS Survey Dimensions) (89 FR 69406 through 
69407).
    While we are making technical updates to the measures in the 
Clinical Outcomes domain beginning with the FY 2027 program year as 
discussed previously, the FY 2027 performance standards that we 
previously adopted for measures in this domain are unchanged because 
the applicable baseline period does not include COVID-19 impacted data 
after applying the national ECE. For the reader's reference, the 
performance standards for the measures in the Clinical Outcomes domain 
for the FY 2027 program year are set out in Table VI.L.-10.

   Table VI.L.-10--Performance Standards For The FY 2027 Program Year
------------------------------------------------------------------------
                                            Achievement
           Measure short name                threshold       Benchmark
------------------------------------------------------------------------
                       Clinical Outcomes Domain *
------------------------------------------------------------------------
MORT-30-AMI.............................        0.877824        0.893133
MORT-30-HF..............................        0.887571        0.913388
MORT-30-PN..............................        0.844826        0.877204
MORT-30-COPD............................        0.917395        0.932640
MORT-30-CABG............................        0.971149        0.980752
COMP-HIP-KNEE **........................        0.023322        0.017018
------------------------------------------------------------------------
* As discussed in the FY 2022 IPPS/LTCH PPS final rule (86 FR 45297
  through 45299), we did not include data from Q1 and Q2 of CY 2020 in
  the calculation of these performance standards due to the ECE granted
  by CMS on March 22, 2020.
** Lower values represent better performance.

d. Newly Established and Estimated Performance Standards for the FY 
2028 Program Year
    We have adopted certain measures for the Safety domain, Clinical 
Outcomes domain, and the Efficiency and Cost Reduction domain for 
future program years to ensure that we can adopt baseline and 
performance periods of sufficient length for performance scoring 
purposes. In the FY 2023 IPPS/LTCH PPS final rule (87 FR 49118), we 
established performance standards for the FY 2028 program year for the 
Clinical Outcomes domain measures (MORT-30-AMI, MORT-30-HF, MORT-30-PN, 
MORT-30-COPD, MORT-30-CABG, and COMP-HIP-KNEE) and the Efficiency and 
Cost Reduction domain measure (MSPB Hospital). However, given the 
technical update to the measures in the Clinical Outcomes domain 
beginning with the FY 2027 program year as discussed previously, we are 
establishing new performance standards for the measures in the Clinical 
Outcomes domain for the FY 2028 program year. We note that the 
performance standards for the MSPB Hospital measure are based on 
performance period data. Therefore, we are unable to provide numerical 
equivalents for the standards at this time. The newly established 
performance standards for these measures are set out in Table VI.L.-11.

[[Page 18298]]



 Table VI.L.-11.--Newly Established and Estimated Performance Standards
                      For The FY 2028 Program Year
------------------------------------------------------------------------
                                      Achievement
       Measure short name              threshold           Benchmark
------------------------------------------------------------------------
                              Safety Domain
------------------------------------------------------------------------
CAUTI * **......................  0.463.............  0.
CLABSI * **.....................  0.549.............  0.
CDI * **........................  0.329.............  0.
MRSA Bacteremia * **............  0.618.............  0.
Colon and Abdominal Hysterectomy  0.74..............  0.
 SSI * **.                        0.899.............
SEP-1 ***.......................  0.632479..........  0.865693.
------------------------------------------------------------------------
                        Clinical Outcomes Domain
------------------------------------------------------------------------
MORT-30-AMI [diams].............  0.877260..........  0.893229.
MORT-30-HF [diams]..............  0.885427..........  0.910649.
MORT-30-PN [diams]..............  0.831776..........  0.866166.
MORT-30-COPD [diams]............  0.913752..........  0.929652.
MORT-30-CABG [diams]............  0.971052..........  0.980570.
COMP-HIP-KNEE * [diams].........  0.029758..........  0.022002.
------------------------------------------------------------------------
                  Efficiency and Cost Reduction Domain
------------------------------------------------------------------------
MSPB *..........................  Median Medicare     Mean of the lowest
                                   Spending per        decile Medicare
                                   Beneficiary ratio   Spending per
                                   across all          Beneficiary
                                   hospitals during    ratios across all
                                   the performance     hospitals during
                                   period.             the performance
                                                       period.
------------------------------------------------------------------------
* Lower values represent better performance.
** We note that the numerical values for the performance standards for
  the HAI measures in this proposed rule represent estimates based on
  the most recently available data and have been rebaselined as
  discussed previously. We intend to update the numerical values in the
  FY 2026 IPPS/LTCH PPS final rule. These estimates are based on 10/01/
  2023-09/30/2024 data.
*** We note that the numerical values for the performance standards for
  the SEP-1 measure in this proposed rule represent estimates based on
  the most recently available data. These estimates are based on 10/01/
  2023-09/30/2024 data.
[diams] As discussed in section VI.L.2.a. and b. of the preamble of this
  proposed rule, we are providing notice of a technical update for all
  measures in the Clinical Outcomes Domain. While these performance
  standards are unchanged at this time, we intend to update them in the
  FY 2026 IPPS/LTCH PPS final rule.

    We refer readers to the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69507-69508) where we finalized the policy to modify the scoring of the 
HCAHPS Survey for the FY 2027 through FY 2029 program years while 
updates to the survey are publicly reported under the Hospital IQR 
Program. Scoring is modified to only score hospitals on the six 
unchanged Hospital VBP dimensions of the HCAHPS Survey until the 
updates to the HCAHPS Survey have been publicly reported for one year. 
The six unchanged dimensions of the HCAHPS Survey for the Hospital VBP 
Program are as follows:
     ``Communication with Nurses''.
     ``Communication with Doctors''.
     ``Communication about Medicines''.
     ``Discharge Information''.
     ``Cleanliness and Quietness''.
     ``Overall Rating.''
    Scoring is modified such that for each of the six unchanged 
dimensions, Achievement Points (0-10 points) and Improvement Points (0-
9 points) will be calculated, the larger of which will be summed across 
these six dimensions to create a pre-normalized HCAHPS Base Score of 0-
60 points (as compared to 0-80 points with the current eight 
dimensions). The pre-normalized HCAHPS Base Score will then be 
multiplied by \8/6\ (1.3333333) and rounded according to standard rules 
(values of 0.5 and higher are rounded up, values below 0.5 are rounded 
down) to create the normalized HCAHPS Base Score. Each of the six 
unchanged dimensions will be of equal weight, so that, as currently 
scored, the normalized HCAHPS Base Score will range from 0 to 80 
points. HCAHPS Consistency Points will be calculated in the same manner 
as the current method and will continue to range from 0 to 20 points. 
Like the Base Score, the Consistency Points Score will consider scores 
across the six unchanged dimensions of the Person and Community 
Engagement domain. The final element of the scoring formula, which will 
remain unchanged from the current formula, will be the sum of the 
HCAHPS Base Score and the HCAHPS Consistency Points Score for a total 
score that ranges from 0 to 100 points. The method for calculating the 
performance standards for the six dimensions will remain unchanged. We 
refer readers to the Hospital Inpatient VBP Program final rule (76 FR 
26511 through 26512) for our methodology for calculating performance 
standards. The estimated performance standards for the six unchanged 
dimensions for the FY 2028 program year are set out in Table VI.L.-12.

  Table VI.L.-12--Estimated Performance Standards for the FY 2028 Program Year: Person and Community Engagement
                                                     Domain
----------------------------------------------------------------------------------------------------------------
                                                                            Achievement
               HCAHPS survey dimension *                     Floor        threshold (50th    Benchmark (mean of
                                                           (minimum)        percentile)          top decile)
----------------------------------------------------------------------------------------------------------------
Communication with Nurses.............................           55.55               77.55                 86.47
Communication with Doctors............................           55.53               77.66                 86.34
Responsiveness of Hospital Staff **...................               X                   X                     X

[[Page 18299]]

 
Communication about Medicines.........................           38.47               58.25                 69.90
Hospital Cleanliness & Quietness......................           40.97               63.69                 77.70
Discharge Information.................................           66.89               86.22                 91.47
Care Transition **....................................               X                   X                     X
Overall Rating of Hospital............................           35.06               69.07                 84.04
----------------------------------------------------------------------------------------------------------------
* We note that the numerical values for the performance standards for the HCAHPS Survey in this proposed rule
  represent estimates based on the most recently available data, and we intend to update the numerical values in
  the FY 2026 IPPS/LTCH PPS final rule. These estimates are based on 10/01/2023-09/30/2024 data.
** In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69507 and 69508), we finalized the policy to only score on the
  six unchanged dimensions of the original HCAHPS Survey for the FY 2028 program year while the updates to the
  survey are publicly reported on in the Hospital IQR Program for the statutorily required one year. Therefore,
  we are not reporting performance standards for the dimensions that are unscored.

e. Newly Established Performance Standards for Certain Measures for the 
FY 2029 Program Year
    We have adopted certain measures for the Safety domain, Clinical 
Outcomes domain, and the Efficiency and Cost Reduction domain for 
future program years to ensure that we can adopt baseline and 
performance periods of sufficient length for performance scoring 
purposes. In the FY 2024 IPPS/LTCH PPS final rule (88 FR 59091 through 
59092), we established performance standards for the FY 2029 program 
year for the Clinical Outcomes domain measures (MORT-30-AMI, MORT-30-
HF, MORT-30-PN, MORT-30-COPD, MORT-30-CABG, and COMP-HIP-KNEE) and the 
Efficiency and Cost Reduction domain measure (MSPB Hospital). However, 
given the technical update to the measures in the Clinical Outcomes 
domain beginning with the FY 2027 program year as discussed previously, 
we are newly establishing the performance standards for the measures in 
the Clinical Outcomes domain for the FY 2029 program year to now 
include COVID-19 patients in the measure data. We note that the 
performance standards for the MSPB Hospital measure are based on 
performance period data. Therefore, we are unable to provide numerical 
equivalents for the standards at this time. The newly established 
performance standards for these measures are set out in Table VI.L-13.

 Table VI.L.13--Newly Established Performance Standards for the FY 2029
                              Program Year
------------------------------------------------------------------------
                                      Achievement
       Measure short name              threshold           Benchmark
------------------------------------------------------------------------
                       Clinical Outcomes Domain*
------------------------------------------------------------------------
MORT-30-AMI.....................  0.874856..........  0.893101.
MORT-30-HF......................  0.880089..........  0.9072.
MORT-30-PN......................  0.814736..........  0.853996.
MORT-30-COPD....................  0.905916..........  0.924829.
MORT-30-CABG....................  0.971027..........  0.979822.
COMP-HIP-KNEE **................  0.025024..........  0.018708.
------------------------------------------------------------------------
                  Efficiency and Cost Reduction Domain
------------------------------------------------------------------------
MSPB **.........................  Median Medicare     Mean of the lowest
                                   Spending per        decile Medicare
                                   Beneficiary ratio   Spending per
                                   across all          Beneficiary
                                   hospitals during    ratios across all
                                   the performance     hospitals during
                                   period.             the performance
                                                       period.
------------------------------------------------------------------------
* As discussed in section VI.L.2.a. and b. of the preamble of this
  proposed rule, we are providing notice of a technical update for all
  measures in the Clinical Outcomes Domain. While these performance
  standards are unchanged at this time, we intend to update them in the
  FY 2026 IPPS/LTCH PPS final rule.
** Lower values represent better performance.

f. Newly Established Performance Standards for Certain Measures for the 
FY 2030 Program Year
    We have adopted certain measures for the Safety domain, Clinical 
Outcomes domain, and the Efficiency and Cost Reduction domain for 
future program years to ensure that we can adopt baseline and 
performance periods of sufficient length for performance scoring 
purposes. In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69409 through 
69410), we established performance standards for the FY 2030 program 
year for the Clinical Outcomes domain measures (MORT-30-AMI, MORT-30-
HF, MORT-30-PN, MORT-30-COPD, MORT-30-CABG, and COMP-HIP-KNEE) and the 
Efficiency and Cost Reduction domain measure (MSPB Hospital). However, 
given the technical update to the measures in the Clinical Outcomes 
domain beginning with the FY 2027 program year as discussed previously, 
we are newly establishing the performance standards for the measures in 
the Clinical Outcomes domain for the FY 2030 program year. We note that 
the performance standards for the MSPB Hospital measure are based on 
performance period data. Therefore, we are unable to provide numerical 
equivalents for the standards at this time. The newly established 
performance standards for these measures are set out in Table VI.L.-14.

[[Page 18300]]



 Table VI.L.--14 Newly Established Performance Standards for the FY 2030
                              Program Year
------------------------------------------------------------------------
                                      Achievement
       Measure short name              threshold           Benchmark
------------------------------------------------------------------------
                       Clinical Outcomes Domain *
------------------------------------------------------------------------
MORT-30-AMI.....................  0.873975..........  0.89371.
MORT-30-HF......................  0.878881..........  0.90929.
MORT-30-PN......................  0.81782...........  0.858688.
MORT-30-COPD....................  0.903404..........  0.924332.
MORT-30-CABG....................  0.972219..........  0.9815.
COMP-HIP-KNEE **................  0.028252..........  0.019993.
------------------------------------------------------------------------
                  Efficiency and Cost Reduction Domain
------------------------------------------------------------------------
MSPB **.........................  Median Medicare     Mean of the lowest
                                   Spending per        decile Medicare
                                   Beneficiary ratio   Spending per
                                   across all          Beneficiary
                                   hospitals during    ratios across all
                                   the performance     hospitals during
                                   period.             the performance
                                                       period.
------------------------------------------------------------------------
* As discussed in section VI.L.2.a. and b. of the preamble of this
  proposed rule, we are providing notice of a technical update for all
  measures in the Clinical Outcomes Domain. While these performance
  standards are unchanged at this time, we intend to update them in the
  FY 2026 IPPS/LTCH PPS final rule.
** Lower values represent better performance.

g. Newly Established Performance Standards for Certain Measures for the 
FY 2031 Program Year
    As discussed previously, we have adopted certain measures for the 
Clinical Outcomes domain (MORT-30-AMI, MORT-30-HF, MORT-30-PN, MORT-30-
COPD, MORT-30-CABG, and COMP-HIP-KNEE) and the Efficiency and Cost 
Reduction domain (MSPB Hospital) for future program years to ensure 
that we can adopt baseline and performance periods of sufficient length 
for performance scoring purposes. In accordance with our methodology 
for calculating performance standards discussed more fully in the 
Hospital Inpatient VBP Program final rule (76 FR 26511 through 26512), 
which is codified at 42 CFR 412.160, we are establishing the following 
performance standards for the FY 2031 program year for the Clinical 
Outcomes domain and the Efficiency and Cost Reduction domain. We note 
that the performance standards for the MSPB Hospital measure are based 
on performance period data. Therefore, we are unable to provide 
numerical equivalents for the standards at this time. The newly 
established performance standards for these measures are set out in 
Table VI.L.-15.

 Table VI.L.-15--Newly Established Performance Standards for the FY 2031
                              Program Year
------------------------------------------------------------------------
                                      Achievement
       Measure short name              threshold           Benchmark
------------------------------------------------------------------------
                       Clinical Outcomes Domain *
------------------------------------------------------------------------
MORT-30-AMI.....................  0.878523..........  0.896695.
MORT-30-HF......................  0.882749..........  0.912451.
MORT-30-PN......................  0.835165..........  0.873917
MORT-30-COPD....................  0.909324..........  0.929745.
MORT-30-CABG....................  0.975023..........  0.983685.
COMP-HIP-KNEE **................  0.036439..........  0.02533.
------------------------------------------------------------------------
                  Efficiency and Cost Reduction Domain
------------------------------------------------------------------------
MSPB **.........................  Median Medicare     Mean of the lowest
                                   Spending per        decile Medicare
                                   Beneficiary ratio   Spending per
                                   across all          Beneficiary
                                   hospitals during    ratios across all
                                   the performance     hospitals during
                                   period.             the performance
                                                       period.
------------------------------------------------------------------------
* As discussed in section VI.L.2.a. and b. of the preamble of this
  proposed rule, we are providing notice of a technical update to remove
  the COVID-19 exclusion from the measure data for all measures in the
  Clinical Outcomes Domain. As a result, these performance standards
  have been calculated with the inclusion of COVID-19 data.
** Lower values represent better performance.

5. Proposals To Update the Extraordinary Circumstance Exception (ECE) 
Policy for the Hospital VBP Program
(a) Background
    Under our current Extraordinary Circumstances Exception (ECE) 
regulations, we have granted exceptions with respect to Hospital VBP 
Program requirements in the event of certain extraordinary 
circumstances beyond the control of the hospital. We refer readers to 
the FY 2022 IPPS/LTCH PPS final rule (86 FR 45298 through 45299) and 42 
CFR 412.165(c) for additional details related to the Hospital VBP 
Program ECE policy. We also refer readers to the QualityNet website for 
the specific requirements for submission of an ECE request in the 
Hospital VBP Program.\257\
---------------------------------------------------------------------------

    \257\ https://qualitynet.cms.gov/inpatient/hvbp/participation#tab6.
---------------------------------------------------------------------------

    Our ECE policies provide flexibility for Hospital VBP program 
participants to ensure continuity of quality care delivery and measure 
scoring in the event of an extraordinary circumstance. For instance, we 
recognize that, in circumstances where a full exception is not 
applicable, it is beneficial for a hospital to report data later than 
the reporting deadline. Delayed reporting authorized under our ECE 
policy allows temporary relief for a hospital

[[Page 18301]]

experiencing an extraordinary circumstance while preserving the 
benefits of data reporting such as transparency and informed decision-
making for beneficiaries and providers alike. Accordingly, we propose 
to update our regulations to specify that an ECE could take the form of 
an extension of time for a hospital to comply with a data reporting 
requirement if CMS determines that this type of relief would be 
appropriate under the circumstances.
(b) Proposal To Update the Extraordinary Circumstances Exception (ECE) 
Policy for the Hospital VBP Program
    We propose to update the current ECE policy codified at 42 CFR 
412.165(c) to include extensions of time as a form of relief and to 
further clarify the policy. Specifically, at proposed Sec.  
412.165(c)(1), we propose that CMS may grant an ECE with respect to 
reporting requirements in the event of an extraordinary circumstance--
defined as an event beyond the control of a hospital (for example, a 
natural or man-made disaster such as a hurricane, tornado, earthquake, 
terrorist attack, or bombing)--that affected the ability of the 
hospital to comply with one or more applicable reporting requirements 
with respect to a fiscal year.
    We propose that the process for requesting or granting an ECE would 
remain the same as the current ECE process, detailed by CMS at the 
QualityNet website or a successor website.\258\ At proposed Sec.  
412.165(c)(2)(i), we propose that a hospital may request an ECE within 
30 calendar days of the date that the extraordinary circumstance 
occurred. Our current policy allows a request within 90 days; however, 
this proposed change would align to CMS systems implementation 
requirements across all quality reporting programs. Under this proposed 
codified policy, we clarify that CMS retains the authority to grant an 
ECE as a form of relief at any time after the extraordinary 
circumstance has occurred. At proposed Sec.  412.165(c)(2)(ii), we 
propose that CMS notify the requestor with a decision in writing. In 
the event that CMS grants an ECE to the hospital, the written decision 
will specify whether the hospital is exempted from one or more 
reporting requirements or whether CMS has granted the hospital an 
extension of time to comply with one or more reporting requirements.
---------------------------------------------------------------------------

    \258\ https://qualitynet.cms.gov/inpatient/iqr/participation#tab3.
---------------------------------------------------------------------------

    Additionally, at Sec.  412.165(c)(3), we note that CMS may grant an 
ECE to one or more hospitals that have not requested an ECE if CMS 
determines either of the following: a systemic problem with a CMS data 
collection system directly impacted the ability of the hospital to 
comply with a quality data reporting requirement, or that an 
extraordinary circumstance has affected an entire region or locale. As 
is the case under our current policy, any ECE granted will specify 
whether the affected hospitals are exempted from one or more reporting 
requirements or whether CMS has granted the hospitals an extension of 
time to comply with one or more reporting requirements.
    This proposed ECE policy would provide further reporting 
flexibility for hospitals and clarify the ECE process.
    We invite public comment on our proposals.
6. Proposed Removal of the Health Equity Adjustment From the Hospital 
VBP Program
    In the FY 2024 IPPS/LTCH PPS final rule (88 FR 59092 through 
59106), we adopted a Health Equity Adjustment (HEA) that, beginning 
with the FY 2026 program year, rewards top performing hospitals that 
serve higher proportions of patients with dual eligibility status. We 
codified the HEA at Sec. Sec.  412.160 and 412.165(b) of our 
regulations. Section 1886(o)(5)(A) of the Act authorizes the Secretary 
to develop the methodology for assessing hospital performance based on 
performance standards established with respect to the measures selected 
for the Hospital VBP Program.
    As discussed in the FY 2024 IPPS/LTCH PPS final rule, by providing 
the HEA to hospitals that serve higher proportions of patients with 
dual eligibility status and that perform well on quality measures, the 
HEA would appropriately recognize the resource intensity expended to 
achieve high performance on quality measures by hospitals that serve a 
high proportion of patients with dual eligibility status, while also 
mitigating the worse health outcomes experienced by dually eligible 
patients through incentivizing better care across all hospitals.
    In this proposed rule, we are proposing to remove the HEA because 
simplifying the Hospital VBP Program's scoring methodology by removing 
the HEA will improve hospitals' understanding of the program and 
provide clearer incentives to hospitals as they seek to improve the 
quality of care for all patients. As noted in section I.G. of Appendix 
A of this proposed rule, in Table I.G.6.-01 and Table I.G.6.-02 the 
overall impact of the HEA on the overall payment adjustments is small. 
With the HEA, the average net percentage payment adjustment for FY 2026 
is 0.170% and without the HEA, the average net percentage payment 
adjustment is 0.168%. Given this relatively small impact, and in light 
of the Administration's priority to streamline regulations and reduce 
burdens on those participating in the Medicare program, we are 
proposing to remove the HEA at this time. We refer readers to 
Supplementary Information section of this proposed rule for the 
Unleashing Prosperity Through Deregulation of the Medicare Program--
Request for Information for more information.
    We considered altering the structure of the adjustment methodology 
to simplify it, but that process will require time to develop and test 
a new adjustment and, if pursued, would be addressed in future 
rulemaking.
    We do not anticipate any serious reliance interests as a result of 
this proposal since the HEA does not require any additional reporting 
burden.
    We propose to codify this removal of the HEA by removing the 
definition of ``Health equity adjustment bonus points'' in Sec.  
412.160 of our regulations and revising Sec.  412.165(b) to remove the 
calculation and addition of health equity adjustment bonus points from 
the Total Performance Score calculation beginning with the FY 2026 
program year. We refer readers to Table I.G.6.-01 and Table I.G.6.-02 
in K-CF, Section 6: Effects of Changes Under the FY 2026 Hospital 
Value-Based Purchasing (VBP) Program, which reflect an estimated impact 
analysis of base operating DRG payment amounts resulting from the FY 
2026 Hospital VBP Program with and without the HEA, respectively.
    We welcome public comment on these proposals.

M. Hospital-Acquired Condition Reduction Program Updates and Changes 
(HACRP)

1. Regulatory Background
    We refer readers to the FY 2014 IPPS/LTCH PPS final rule (78 FR 
50707 through 50709) for a general overview of the Hospital-Acquired 
Condition (HAC) Reduction Program and a detailed discussion of the 
statutory basis for the Program. We also refer readers to 42 CFR 
412.170 through 412.172 for codified HAC Reduction Program 
requirements.
2. Measures for FY 2026 and Subsequent Years in the HAC Reduction 
Program
a. Current Measures
    The previously finalized measures for the HAC Reduction Program for 
FY

[[Page 18302]]

2026 and subsequent years are shown in table VI.M.-01. Technical 
specifications for the CMS Patient Safety and Adverse Events Composite 
(CMS PSI 90) measure can be found on the QualityNet website available 
at: https://qualitynet.cms.gov/inpatient/measures/psi/resources. 
Technical specifications for the Centers for Disease Control and 
Prevention's (CDC) National Healthcare Safety Network (NHSN) 
healthcare-associated infection (HAI) measures can be found at the 
CDC's NHSN website at: https://www.cdc.gov/nhsn/acute-care-hospital/index.html and on the QualityNet website available at: https://qualitynet.cms.gov/inpatient/measures/hai/resources. These web pages 
provide measure updates and other information necessary to guide 
hospitals participating in the collection of HAC Reduction Program 
data.

     Table VI.M.-01--HAC Reduction Program Measures for FY 2026 and
                            Subsequent Years
------------------------------------------------------------------------
                                                            Consensus-
           Short name                  Measure name        based entity
                                                             (CBE) No.
------------------------------------------------------------------------
     HAC Reduction Program Measures for FY 2026 and Subsequent Years
------------------------------------------------------------------------
CMS PSI 90.....................  CMS Patient Safety and             0531
                                  Adverse Events
                                  Composite.
CAUTI..........................  CDC NHSN Catheter-                 0138
                                  associated Urinary
                                  Tract Infection
                                  (CAUTI) Outcome
                                  Measure.
CDI............................  CDC NHSN Facility-wide             1717
                                  Inpatient Hospital-
                                  onset Clostridium
                                  difficile Infection
                                  (CDI) Outcome Measure.
CLABSI.........................  CDC NHSN Central Line-             0139
                                  Associated Bloodstream
                                  Infection (CLABSI)
                                  Outcome Measure.
Colon and Abdominal              American College of                0753
 Hysterectomy SSI.                Surgeons--Centers for
                                  Disease Control and
                                  Prevention (ACS-CDC)
                                  Harmonized Procedure
                                  Specific Surgical Site
                                  Infection (SSI)
                                  Outcome Measure.
MRSA Bacteremia................  CDC NHSN Facility-wide             1716
                                  Inpatient Hospital-
                                  onset Methicillin-
                                  resistant
                                  Staphylococcus aureus
                                  (MRSA) Bacteremia
                                  Outcome Measure.
------------------------------------------------------------------------

    We are not proposing to add or remove any measures in this proposed 
rule. We refer readers to section I.G.9. of Appendix A of this proposed 
rule for an updated estimate of the impact of the Program policies on 
the proportion of hospitals in the worst performing quartile of Total 
HAC Scores for the FY 2026 HAC Reduction Program.
b. Technical Update to CDC's National Healthcare Safety Network 
Healthcare-Associated Infection Measures for the HAC Reduction Program
    In this section, we provide information regarding upcoming changes 
to the standard population data that are used to calculate the 
standardized infection ratio (SIR) for the CDC's NHSN measures. These 
changes are occurring as part of routine measure maintenance.
    CDC's NHSN measures are used to monitor hospital performance on 
prevention of healthcare-associated infections (HAIs). For each NHSN 
measure, CDC calculates the SIR, which compares a hospital's observed 
number of HAIs to the number of infections predicted for the hospital, 
adjusting for several risk factors. The predicted number of infections 
is determined using the amount of exposure (for example, the number of 
central line days when predicting CLABSI events) for a given hospital 
according to the relevant observed risk factors and infection rates for 
the same combination of risk factors that occurred among a standard 
population during a specified period as reflected by the appropriate 
risk adjustment model (this is sometimes referred to as a ``baseline,'' 
\259\ but referred to here as ``standard population data''). This set 
of rates forms standard population data that promotes timely 
comparisons to measure change in an outcome. Since 2016, CDC has been 
using data collected in CY 2015 to determine the standard population 
and, currently, the 2015 standard population is used to calculate the 
HAI measures in the HAC Reduction Program.\260\ Prior to 2016, 
calculated SIRs had different standard population years for each 
infection type and facility type.\261\
---------------------------------------------------------------------------

    \259\ ``Rebaseline'' is a term that CDC's NHSN staff use to 
describe the process of updating the national HAI baseline data and 
risk adjustment models developed using these data. As part of 
routine measure maintenance, CDC has updated the baseline to ensure 
the number of predicted infections used in SIR calculations reflects 
the current state of HAIs in the United States using CY 2022 data. 
The CDC released its initial announcement of this rebaseline in June 
2023. Resources and training regarding the 2015 and 2022 standard 
population data can be found at: https://www.cdc.gov/nhsn/nhsnrebaseline/index.html.
    \260\ Centers for Disease Control and Prevention. CHARTING THE 
COURSE: 2022 HAI REBASELINE. Available at: https://www.cdc.gov/nhsn/pdfs/rebaseline/22-Rebaseline-FAQs-Final-Version.pdf.
    \261\ Centers for Disease Control and Prevention. Paving the 
Path Forward: 2015 Rebaseline. Available at: https://www.cdc.gov/nhsn/2015rebaseline/index.html.
---------------------------------------------------------------------------

    During this update, HAI SIR calculations of infections reported 
beginning in CY 2025 will reflect the use of both the new 2022 standard 
population data and the 2015 standard population data. We anticipate 
that the new 2022 standard population data will affect the HAC 
Reduction Program beginning with the FY 2028 program year when both 
years of the 2-year applicable period (also referred to as the 
``performance period'' of the measures), CY 2025 and CY 2026, will use 
the 2022 update to the standard population for the CDC's NHSN measures.
    Under the HAC Reduction Program, confidential reports are made 
available to hospitals with respect to HACs of the hospital during the 
applicable period (78 FR 50708 through 50709). In the FY 2019 IPPS/LTCH 
PPS final rule (83 FR 41484 through 41489), we clarified the Scoring 
Calculations Review and Correction Period (83 FR 41484) for the HAC 
Reduction Program, which provides hospitals with detailed HAC Reduction 
Program data and results in confidential Hospital-Specific Reports 
(HSRs). We give hospitals 30 days to review their HAC Reduction Program 
data, submit questions about the calculation of their results, and 
request corrections prior to such information being made public.\262\ 
The HAI measures using the 2022 update to the standard population in 
the FY 2028 HAC Reduction Program dataset would be publicly reported on 
the Provider Data Catalog in early 2028.
---------------------------------------------------------------------------

    \262\ For more information on the Scoring Calculations Review 
and Correction Period, see: https://qualitynet.cms.gov/inpatient/hac/payment#tab2.
---------------------------------------------------------------------------

    For the HAI measure information publicly reported on the Compare 
tool

[[Page 18303]]

on Medicare.gov, it will continue to display on a quarterly basis 
calculated from a rolling four quarters of data. The HAI measures using 
the 2022 update to the standard population data will begin to be 
publicly reported on the Compare tool in fall 2026 using four quarters 
of CY 2025 data.

          Table VI.M.-02--CDC Baseline Data on the Compare Tool
------------------------------------------------------------------------
                                    Standard
Performance period for CDC NHSN    population        Public reporting
          HAI measures              data year
------------------------------------------------------------------------
October 1, 2024, to September              2015  Summer 2026.
 30, 2025.
January 1, 2025, to December               2022  Fall 2026.
 31, 2025.
------------------------------------------------------------------------

    As we stated in the FY 2018 IPPS/LTCH PPS final rule (82 FR 38324), 
our current policy has been to report data as soon as it is feasible on 
CMS websites such as the Compare tool and the Provider Data Catalog, 
after a 30-day preview period.\263\ Table VI.M.-03 summarizes the HAI 
performance periods, the standard population data year, HAC Reduction 
Program year, and public reporting timeframe for the CDC's NHSN 
measures.
---------------------------------------------------------------------------

    \263\ For more information on the Care Compare Preview period, 
see: https://qualitynet.cms.gov/inpatient/public-reporting/public-reporting/hospital-compare-preview.

                         Table VI.M.-03--CDC Baseline Data in the HAC Reduction Program
----------------------------------------------------------------------------------------------------------------
                                                                       Standard
     HAC Reduction Program year        Performance period for CDC     population          Public reporting
                                            NHSN HAI measures          data year
----------------------------------------------------------------------------------------------------------------
FY 2025.............................  January 1, 2022, to December            2015  Early 2025.
                                       31, 2023.
FY 2026.............................  January 1, 2023, to December            2015  Early 2026.
                                       31, 2024.
FY 2027.............................  January 1, 2024, to December            2015  Early 2027.
                                       31, 2025.
FY 2028.............................  January 1, 2025, to December            2022  Early 2028.
                                       31, 2026.
----------------------------------------------------------------------------------------------------------------

    We refer readers to section VI.L.4.b of this proposed rule, where 
we are proposing updates to the standard population data for the CDC's 
NHSN HAI measures in the Hospital Value-Based Purchasing (VBP) Program.
    While we are not required to solicit comments on technical updates, 
we invite public comment on this technical update.
3. Proposal To Codify the Extraordinary Circumstances Exception Policy 
for the HAC Reduction Program
a. Background
    In the FY 2022 IPPS/LTCH PPS final rule (86 FR 45309 through 
45310), we clarified that an Extraordinary Circumstances Exception 
(ECE) granted under the HAC Reduction Program may allow an exception 
from quality data reporting requirements and may grant a request to 
exclude any data submitted (whether submitted for claims purposes or to 
the CDC's NHSN) from the calculation of a hospital's measure results or 
Total HAC Score for the applicable period or both, depending on the 
exact circumstances under which the request was made. We intend to 
provide relief for a hospital whose ability to accurately collect 
quality measure data and to report those data in a timely manner has 
been negatively impacted as a direct result of experiencing a 
significant disaster or other extraordinary circumstance beyond the 
control of a hospital (80 FR 49579 through 49581) or both. An exception 
may be granted for extraordinary circumstances including, but not 
limited to, natural disasters or systemic problems with data collection 
systems.\264\ We refer readers to the FY 2016 IPPS/LTCH PPS final rule 
(80 FR 49579 through 49581), FY 2018 IPPS/LTCH PPS final rule (82 FR 
38276 through 38278), and FY 2022 IPPS/LTCH PPS final rule (86 FR 45308 
through 45310) for further background and details of our ECE policy. We 
also refer readers to the QualityNet website for the specific 
requirements for submission of an ECE request in the HAC Reduction 
Program.\265\ Hospitals can request a CMS Quality Program ECE for 
multiple programs based on the same extraordinary circumstance using 
one ECE request form, including the Hospital IQR Program, the Hospital 
VBP Program, and the Hospital Readmissions Reduction Program.
---------------------------------------------------------------------------

    \264\ Centers for Medicare & Medicaid Services (CMS) Quality 
Program Extraordinary Circumstances Exceptions (ECE) Request Form. 
(2025). QualityNet. Available at: https://qualitynet.cms.gov/files/677e843f50ed8df7419f60e1?filename=HQR_ECE_Req_Form_CY_2025.pdf.
    \265\ CMS QualityNet. Available at: https://qualitynet.cms.gov/inpatient/hac/participation#tab2.
---------------------------------------------------------------------------

    Our ECE policy provides flexibility for HAC Reduction Program 
participants to ensure continuity of quality care delivery and measure 
reporting in the event of an extraordinary circumstance. For instance, 
we recognize that, in circumstances where an exclusion of any data 
submitted from the calculation of a hospital's measure results or Total 
HAC Score for the applicable period is not applicable, it may be 
beneficial for a hospital to report data later than the reporting 
deadline. Delayed reporting authorized under the ECE policy would allow 
temporary relief for a hospital experiencing an extraordinary 
circumstance, while preserving data reporting benefits such as 
transparency and informed decision-making for beneficiaries and 
providers alike. Accordingly, we propose to specify that an ECE could 
take the form of an extension of time for a hospital to comply with a 
data reporting requirement if CMS determines that this type of relief 
would be appropriate under the circumstances.
b. Proposals To Codify the Extraordinary Circumstances Exception (ECE) 
Policy for the HAC Reduction Program
    We propose to codify the ECE policy at 42 CFR 412.172(c) and 
include extensions of time as a form of relief. Specifically, at 
proposed Sec.  412.172(c)(1), we propose that CMS may grant an ECE with 
respect to reporting requirements in the event of an extraordinary

[[Page 18304]]

circumstance--defined as an event beyond the control of a hospital (for 
example a natural or man-made disaster such as a hurricane, tornado, 
earthquake, terrorist attack, or bombing)--that affected the ability of 
the hospital to comply with one or more applicable reporting 
requirements with respect to a fiscal year.
    We propose that the process for requesting or granting an ECE would 
remain the same as the current ECE process, detailed by CMS at the 
QualityNet website or a successor website.\266\ At proposed Sec.  
412.172(c)(2)(i), we propose that a hospital may request an ECE within 
30 calendar days of the date that the extraordinary circumstance 
occurred. Under this proposed policy, we clarify that CMS retains the 
authority to grant an ECE as a form of relief at any time after the 
extraordinary circumstance has occurred. At proposed Sec.  
412.172(c)(2)(ii), we propose that CMS notify the requestor with a 
decision in writing, via email. In the event that CMS grants an ECE to 
the hospital, the written decision will specify whether the hospital is 
exempted from one or more reporting requirements or whether CMS has 
granted the hospital an extension of time to comply with one or more 
reporting requirements.
---------------------------------------------------------------------------

    \266\ https://qualitynet.cms.gov/inpatient/iqr/participation#tab3.
---------------------------------------------------------------------------

    Additionally, at Sec.  412.172(c)(3), we note that CMS may grant an 
ECE to one or more hospitals that have not requested an ECE if CMS 
determines that: a systemic problem with a CMS data collection system 
directly impacted the ability of the hospital to comply with a quality 
data reporting requirement, or that an extraordinary circumstance has 
affected an entire region or locale. Any ECE granted will specify 
whether the affected hospitals are exempted from one or more reporting 
requirements or whether CMS has granted the hospitals an extension of 
time to comply with one or more reporting requirements.
    The ECE policy is intended to provide hospitals with further 
reporting flexibility and clarity regarding expectations when 
submitting ECE requests for participants of the HAC Reduction Program. 
We refer readers to sections X.C.8, VI.L.5, VI.K.3.c., and X.D.4. of 
the preamble of this proposed rule for similar proposals in the 
Hospital IQR Program, Hospital VBP Program, Hospital Readmissions 
Reduction Program, and PCHQR Program, respectively.
    We invite public comment on our proposals.

N. Rural Community Hospital Demonstration Program

1. Introduction
    The Rural Community Hospital Demonstration was originally 
authorized by section 410A of the Medicare Prescription Drug, 
Improvement, and Modernization Act of 2003 (MMA) (Pub. L. 108-173). The 
demonstration has been extended three times since the original 5-year 
period mandated by the MMA, each time for an additional 5 years. These 
extensions were authorized by sections 3123 and 10313 of the Affordable 
Care Act (Pub. L. 111-148), section 15003 of the 21st Century Cures Act 
(Pub. L. 114-255) (Cures Act) enacted in 2016, and most recently, by 
section 128 of the Consolidated Appropriations Act, 2021 (Pub. L. 116-
260), which also reauthorized the RCHD for five years. Below we 
summarize the status of the demonstration program and the current 
methodologies for implementation and calculating budget neutrality, and 
propose the amount to be subtracted from the national IPPS payment 
rates to account for the costs of the demonstration in FY 2026. The 
amount would include the reconciled amount of demonstration costs for 
FY 2020 in the FY 2026 IPPS/LTCH final rule. We expect all finalized 
cost reports for FY 2020 to be available when the FY 2026 IPPS/LTCH 
final rule is published.
    Last year we published a new solicitation (89 FR 105049) to select 
10 additional qualifying hospitals to participate in the Rural 
Community Hospital Demonstration. We only accepted applications to this 
solicitation from hospitals in the 20 least densely populated States, 
according to data for 2020 from the U.S. Census Bureau. These States 
are: Alaska, Arizona, Arkansas, Colorado, Idaho, Iowa, Kansas, Maine, 
Mississippi, Montana, Nebraska, Nevada, New Mexico, North Dakota, 
Oklahoma, Oregon, South Dakota, Utah, Vermont, and Wyoming. We did not 
accept applications from hospitals located in other States or in the 
U.S. territories. Applications were due March 1, 2025; we will be 
selecting hospitals on a rolling basis beginning May 1, 2025. Given the 
upcoming statutory termination of the model, we are aligning 
performance dates for the selected hospitals with the last performance 
day for the currently authorized extension; therefore, although 
previous agreements ran for 5-year periods, agreements for hospitals 
selected under CMS-5051-N2 will run only until June 30, 2028.
2. Background
    Section 410A(a) of the MMA (Pub. L. 108-173) required the Secretary 
to establish a demonstration program to test the feasibility and 
advisability of establishing rural community hospitals to furnish 
covered inpatient hospital services to Medicare beneficiaries. The 
demonstration pays rural community hospitals under a reasonable cost-
based methodology for Medicare payment purposes for covered inpatient 
hospital services furnished to Medicare beneficiaries. A rural 
community hospital, as defined in section 410A(f)(1), is a hospital 
that--
     Is located in a rural area (as defined in section 
1886(d)(2)(D) of the Act) or is treated as being located in a rural 
area under section 1886(d)(8)(E) of the Act;
     Has fewer than 51 beds (excluding beds in a distinct part 
psychiatric or rehabilitation unit) as reported in its most recent cost 
report;
     Provides 24-hour emergency care services; and
     Is not designated or eligible for designation as a CAH 
under section 1820 of the Act.
    Our policy for implementing the 5-year extension period authorized 
by the CAA, 2021 (Pub. L. 116-260) follows upon the previous extensions 
under the Affordable Care Act (Pub. L. 111-148) and the Cures Act (Pub. 
L. 114-255). Section 410A of the MMA (Pub. L. 108-173) initially 
required a 5-year period of performance. Subsequently, sections 3123 
and 10313 of the Affordable Care Act (Pub. L. 111-148) required the 
Secretary to conduct the demonstration program for an additional 5-year 
period, to begin on the date immediately following the last day of the 
initial 5-year period. In addition, the Affordable Care Act (Pub. L. 
111-148) limited the number of hospitals participating to no more than 
30. Section 15003 of the Cures Act (Pub. L. 114-255) required a 10-year 
extension period in place of the 5-year extension period under the 
Affordable Care Act (Pub. L. 111-148), thereby extending the 
demonstration for another 5 years. Section 128 of CAA, 2021 (Pub. L. 
116-260), in turn, revised the statute to indicate a 15-year extension 
period, instead of the 10-year extension period mandated by the Cures 
Act (Pub. L. 114-255). Please refer to the FY 2023 IPPS proposed and 
final rules (87 FR 28454 through 28458 and 87 FR 49138 through 49142, 
respectively) for an account of hospitals entering into and withdrawing 
from the demonstration with these re-authorizations. There are 
currently 20 hospitals participating in the demonstration.

[[Page 18305]]

2. Budget Neutrality
a. Statutory Budget Neutrality Requirement
    Section 410A(c)(2) of the MMA (Pub. L. 108-173) requires that, in 
conducting the demonstration program under this section, the Secretary 
shall ensure that the aggregate payments made by the Secretary do not 
exceed the amount that the Secretary would have paid if the 
demonstration program under this section was not implemented. This 
requirement is commonly referred to as ``budget neutrality.'' 
Generally, when we implement a demonstration program on a budget 
neutral basis, the demonstration program is budget neutral on its own 
terms; in other words, the aggregate payments to the participating 
hospitals do not exceed the amount that would be paid to those same 
hospitals in the absence of the demonstration program. We note that the 
payment methodology for this demonstration, that is, cost-based 
payments to participating small rural hospitals, made it unlikely that 
increased Medicare outlays would produce an offsetting reduction to 
Medicare expenditures elsewhere. Therefore, in the IPPS final rules 
spanning the period from FY 2005 through FY 2016, we adjusted the 
national IPPS rates by an amount sufficient to account for the added 
costs of this demonstration program, thus applying budget neutrality 
across the payment system as a whole rather than merely across the 
participants in the demonstration program. (We applied a different 
methodology for FY 2017, with the demonstration expected to end prior 
to the Cures Act extension.) As we discussed in the FYs 2005 through 
2017 IPPS/LTCH PPS final rules (69 FR 49183; 70 FR 47462; 71 FR 48100; 
72 FR 47392; 73 FR 48670; 74 FR 43922, 75 FR 50343, 76 FR 51698, 77 FR 
53449, 78 FR 50740, 77 FR 50145; 80 FR 49585; and 81 FR 57034, 
respectively), we believe that the statutory language of the budget 
neutrality requirements permits the agency to implement the budget 
neutrality provision in this manner.
    We resumed this methodology of offsetting demonstration costs 
against the national payment rates in the IPPS final rules from FY 2018 
through FY 2025. Please see the FY 2025 IPPS final rule for an account 
of how we applied the budget neutrality requirement for these fiscal 
years (89 FR 69412 through 69413).
b. General Budget Neutrality Methodology
    We have generally incorporated two components into the budget 
neutrality offset amounts identified in the final IPPS rules in 
previous years. First, we have estimated the costs of the demonstration 
for the upcoming fiscal year, generally determined from historical, 
``as submitted'' cost reports for the hospitals participating in that 
year. Updated factors representing nationwide trends in cost and volume 
increases have been incorporated into these estimates, as specified in 
the methodology described in the final rule for each fiscal year. 
Second, as finalized cost reports became available, we determined the 
amount by which the actual costs of the demonstration for an earlier, 
given year differed from the estimated costs for the demonstration set 
forth in the final IPPS rule for the corresponding fiscal year, and 
incorporated that amount into the budget neutrality offset amount for 
the upcoming fiscal year. If the actual costs for the demonstration for 
the earlier fiscal year exceeded the estimated costs of the 
demonstration identified in the final rule for that year, this 
difference was added to the estimated costs of the demonstration for 
the upcoming fiscal year when determining the budget neutrality 
adjustment for the upcoming fiscal year. Conversely, if the estimated 
costs of the demonstration set forth in the final rule for a prior 
fiscal year exceeded the actual costs of the demonstration for that 
year, this difference was subtracted from the estimated cost of the 
demonstration for the upcoming fiscal year when determining the budget 
neutrality adjustment for the upcoming fiscal year.
    We note that we have calculated this difference for FYs 2005 
through 2018 between the actual costs of the demonstration as 
determined from finalized cost reports once available, and estimated 
costs of the demonstration as identified in the applicable IPPS final 
rules for these years.
c. Budget Neutrality Methodology for the Extension Period Authorized by 
CAA, 2021
    For the most-recently enacted extension period, under the CAA, 
2021, we have continued upon the general budget neutrality methodology 
used in previous years, as described previously in the citations to 
earlier IPPS final rules. In this proposed rule, we outline the 
methodology to be used for determining the offset to the national IPPS 
payment rates for FY 2026.
(1) Methodology for Estimating Demonstration Costs for FY 2026
    Consistent with the general methodology from previous years, we are 
estimating the costs of the demonstration for the upcoming fiscal year, 
and proposing to incorporate this estimate into the budget neutrality 
offset amount to be applied to the national IPPS rates for the upcoming 
fiscal year, that is, FY 2026. We are conducting this estimate for FY 
2026 based on the 20 currently participating hospitals. The methodology 
for calculating this amount for FY 2026 proceeds according to the 
following steps:
    Step 1: For each of these 20 hospitals, we identify the reasonable 
cost amount calculated under the reasonable cost-based methodology for 
covered inpatient hospital services, including swing beds, as indicated 
on the ``as submitted'' cost report for the most recent cost reporting 
period available. The ``as submitted'' cost report, submitted by each 
of the 20 hospitals, with a report end date in CY2023 is used. We sum 
these hospital -specific amounts to arrive at a total general amount 
representing the costs for covered inpatient hospital services, 
including swing beds, across the total 20 hospitals eligible to 
participate during FY 2026.
    Then, we multiply the total general amount by the FYs 2024, 2025, 
and 2026 IPPS market basket percentage increases, which are calculated 
by the CMS Office of the Actuary. (We are using the proposed market 
basket percentage increase for FY 2026, which can be found at section 
VI.B.1. of the preamble to this proposed rule). The result for the 20 
hospitals is the general estimated reasonable cost amount for covered 
inpatient hospital services for FY 2026.
    Consistent with our methods in previous years for formulating this 
estimate, we are applying the IPPS market basket percentage increases 
for FYs 2024 through 2026 to the applicable estimated reasonable cost 
amount (previously described) to model the estimated FY 2026 reasonable 
cost amount under the demonstration. We believe that the IPPS market 
basket percentage increases appropriately indicate the trend of 
increase in inpatient hospital operating costs under the reasonable 
cost methodology for the years involved.
    Step 2: For each of the participating hospitals, we identify the 
estimated amount that would otherwise have been paid in FY 2026 under 
applicable Medicare payment methodologies for covered inpatient 
hospital services, including swing beds (as indicated on the same set 
of ``as submitted'' cost reports as in Step 1), if the demonstration 
had not been implemented. We sum these hospital-

[[Page 18306]]

specific amounts, and, in turn, multiply this sum by the FYs 2024, 
2025, and 2026 IPPS applicable percentage increases. (For FY 2026, we 
are using the proposed applicable percentage increase, per section 
VI.B.1. of the preamble of this proposed rule). This methodology 
differs from Step 1, in which we apply the market basket percentage 
increases to the hospitals' applicable estimated reasonable cost amount 
for covered inpatient hospital services. We believe that the IPPS 
applicable percentage increases are appropriate factors to update the 
estimated amounts that generally would otherwise be paid without the 
demonstration because IPPS payments constitute the majority of payments 
that would otherwise be made without the demonstration and the 
applicable percentage increase is the factor used under the IPPS to 
update the inpatient hospital payment rates.
    Step 3: We subtract the amount derived in Step 2 from the amount 
derived in Step 1. According to our methodology, the resulting amount 
indicates the total difference for the 20 hospitals (for covered 
inpatient hospital services, including swing beds), which will be the 
general estimated amount of the costs of the demonstration for FY 2026.
    For this proposed rule, the resulting amount is $47,527,557, which, 
if finalized, would be incorporated into the budget neutrality offset 
adjustment for FY 2026. This estimated amount is based on the specific 
assumptions regarding the data sources used, that is, recently 
available ``as submitted'' cost reports and historical update factors 
for cost and payment. If updated data become available prior to the 
final rule, we will use them as appropriate to estimate the costs for 
the demonstration program for FY 2026 in accordance with our 
methodology for determining the budget neutrality estimate. We will 
also incorporate any statutory change that might affect the methodology 
for determining hospital costs either with or without the 
demonstration. We are proposing to include estimated costs of the 
demonstration for FY 2026 for all participating hospitals, to include 
those participating as a result of the current solicitation, in the 
budget neutrality offset adjustment in the FY 2027 IPPS proposed and 
final rules.
(2) Reconciling Actual and Estimated Costs of the Demonstration for 
Previous Years
    As described earlier, we have calculated the difference for FYs 
2005 through 2018 between the actual costs of the demonstration, as 
determined from finalized cost reports once available, and estimated 
costs of the demonstration as identified in the applicable IPPS final 
rules for these years.
    At this time, for the FY 2026 proposed rule, not all of the 
finalized cost reports are available for the 20 hospitals that 
completed cost report periods beginning in FY 2020 under the 
demonstration payment methodology. We expect all of these finalized 
cost reports to be available by the time of the final rule, and thus we 
are proposing to include the difference between the actual cost of the 
demonstration for FY 2020 as determined from finalized cost reports 
within the budget neutrality offset amount in the FY 2026 final rule.
(3) Total Proposed Budget Neutrality Offset Amount for FY 2026
    For this FY 2026 IPPS/LTCH PPS proposed rule, the proposed budget 
neutrality offset amount for FY 2026 is the amount determined under 
section X.2.c.(2). of the preamble of this proposed rule, representing 
the difference applicable to FY 2026 between the sum of the estimated 
reasonable cost amounts that would be paid under the demonstration for 
covered inpatient services to the 20 hospitals eligible to participate 
in the fiscal year and the sum of the estimated amounts that would 
generally be paid if the demonstration had not been implemented. This 
estimated amount is $47,527,557.
    However, we note, that the overall amount might change if there are 
any revisions prior to the final rule to the data used to formulate 
this estimate. We also expect to revise the budget neutrality offset 
amount upon calculating the actual costs of the demonstration for FY 
2020, after receiving all of the finalized cost reports for that fiscal 
year.

VII. Proposed Changes to the IPPS for Capital-Related Costs

A. Overview

    Section 1886(g) of the Act requires the Secretary to pay for the 
capital-related costs of inpatient acute hospital services in 
accordance with a prospective payment system established by the 
Secretary. Under the statute, the Secretary has broad authority in 
establishing and implementing the IPPS for acute care hospital 
inpatient capital-related costs. We initially implemented the IPPS for 
capital-related costs in the FY 1992 IPPS final rule (56 FR 43358). In 
that final rule, we established a 10-year transition period to change 
the payment methodology for Medicare hospital inpatient capital-related 
costs from a reasonable cost-based payment methodology to a prospective 
payment methodology (based fully on the Federal rate).
    FY 2001 was the last year of the 10-year transition period that was 
established to phase in the IPPS for hospital inpatient capital-related 
costs. For cost reporting periods beginning in FY 2002, capital IPPS 
payments are based solely on the Federal rate for almost all acute care 
hospitals (other than hospitals receiving certain exception payments 
and certain new hospitals). (We refer readers to the FY 2002 IPPS final 
rule (66 FR 39910 through 39914) for additional information on the 
methodology used to determine capital IPPS payments to hospitals both 
during and after the transition period.)
    The basic methodology for determining capital prospective payments 
using the Federal rate is set forth in the regulations at 42 CFR 
412.312. For the purpose of calculating capital payments for each 
discharge, the standard Federal rate is adjusted as follows:

(Standard Federal Rate) x (DRG Weight) x (Geographic Adjustment Factor 
(GAF) x (COLA for hospitals located in Alaska and Hawaii) x (1 + 
Capital DSH Adjustment Factor + Capital IME Adjustment Factor, if 
applicable).

    In addition, under Sec.  412.312(c), hospitals also may receive 
outlier payments under the capital IPPS for extraordinarily high-cost 
cases that qualify under the thresholds established for each fiscal 
year.

B. Additional Provisions

1. Exception Payments
    The regulations at 42 CFR 412.348 provide for certain exception 
payments under the capital IPPS. The regular exception payments 
provided under Sec.  412.348(b) through (e) were available only during 
the 10-year transition period. For a certain period after the 
transition period, eligible hospitals may have received additional 
payments under the special exceptions provisions at Sec.  412.348(g). 
However, FY 2012 was the final year hospitals could receive special 
exceptions payments. For additional details regarding these exceptions 
policies, we refer readers to the FY 2012 IPPS/LTCH PPS final rule (76 
FR 51725).
    Under Sec.  412.348(f), a hospital may request an additional 
payment if the hospital incurs unanticipated capital expenditures in 
excess of $5 million due to extraordinary circumstances beyond

[[Page 18307]]

the hospital's control. Additional information on the exception payment 
for extraordinary circumstances in Sec.  412.348(f) can be found in the 
FY 2005 IPPS final rule (69 FR 49185 and 49186).
2. New Hospitals
    Under the capital IPPS, the regulations at 42 CFR 412.300(b) define 
a new hospital as a hospital that has operated (under previous or 
current ownership) for less than 2 years and lists examples of 
hospitals that are not considered new hospitals. In accordance with 
Sec.  412.304(c)(2), under the capital IPPS, a new hospital is paid 85 
percent of its allowable Medicare inpatient hospital capital related 
costs through its first 2 years of operation, unless the new hospital 
elects to receive full prospective payment based on 100 percent of the 
Federal rate. We refer readers to the FY 2012 IPPS/LTCH PPS final rule 
(76 FR 51725) for additional information on payments to new hospitals 
under the capital IPPS.
3. Payments for Hospitals Located in Puerto Rico
    In the FY 2017 IPPS/LTCH PPS final rule (81 FR 57061), we revised 
the regulations at 42 CFR 412.374 relating to the calculation of 
capital IPPS payments to hospitals located in Puerto Rico beginning in 
FY 2017 to parallel the change in the statutory calculation of 
operating IPPS payments to hospitals located in Puerto Rico, for 
discharges occurring on or after January 1, 2016, made by section 601 
of the Consolidated Appropriations Act, 2016 (Pub. L. 114-113). Section 
601 of Public Law 114-113 increased the applicable Federal percentage 
of the operating IPPS payment for hospitals located in Puerto Rico from 
75 percent to 100 percent and decreased the applicable Puerto Rico 
percentage of the operating IPPS payments for hospitals located in 
Puerto Rico from 25 percent to zero percent, applicable to discharges 
occurring on or after January 1, 2016. As such, under revised Sec.  
412.374, for discharges occurring on or after October 1, 2016, capital 
IPPS payments to hospitals located in Puerto Rico are based on 100 
percent of the capital Federal rate.

C. Proposed Annual Update for FY 2026

    The proposed annual update to the national capital Federal rate, as 
provided for in 42 CFR 412.308(c), for FY 2026 is discussed in section 
III. of the Addendum to this FY 2026 IPPS/LTCH PPS proposed rule.
    We also note that in section II.D. of the preamble of this proposed 
rule, we discuss our proposed revision to the adjustment to the payment 
amount for certain clinical trial or expanded access use immunotherapy 
cases to include other cases where the immunotherapy product is not 
purchased in the usual manner (such as provided at no cost) that will 
group to MS-DRG 018 for both operating IPPS payments and capital IPPS 
payments. We refer readers to section II.D. of this preamble for 
additional details on the proposed payment adjustment for these cases.

VIII. Proposed Changes for Hospitals Excluded From the IPPS

A. Proposed Rate-of-Increase in Payments to Excluded Hospitals for FY 
2026

    Certain hospitals excluded from a prospective payment system, 
including children's hospitals, 11 cancer hospitals, and hospitals 
located outside the 50 States, the District of Columbia, and Puerto 
Rico (that is, hospitals located in the U.S. Virgin Islands, Guam, the 
Northern Mariana Islands, and American Samoa) receive payment for 
inpatient hospital services they furnish on the basis of reasonable 
costs, subject to a rate-of-increase ceiling. A per discharge limit 
(the target amount, as defined in Sec.  413.40(a) of the regulations) 
is set for each hospital based on the hospital's own cost experience in 
its base year, and updated annually by a rate-of-increase percentage. 
For each cost reporting period, the updated target amount is multiplied 
by total Medicare discharges during that period and applied as an 
aggregate upper limit (the ceiling as defined in Sec.  413.40(a)) of 
Medicare reimbursement for total inpatient operating costs for a 
hospital's cost reporting period. In accordance with Sec.  403.752(a) 
of the regulations, religious nonmedical health care institutions 
(RNHCIs) also are subject to the rate-of-increase limits established 
under Sec.  413.40 of the regulations discussed previously. 
Furthermore, in accordance with Sec.  412.526(c)(3) of the regulations, 
extended neoplastic disease care hospitals (formerly classified as 
``Subclause II LTCs'') also are subject to the rate-of-increase limits 
established under Sec.  413.40 of the regulations discussed previously.
    As explained in the FY 2006 IPPS final rule (70 FR 47396 through 
47398), beginning with FY 2006, we have used the percentage increase in 
the IPPS operating market basket to update the target amounts for 
children's hospitals, the 11 cancer hospitals, and RNHCIs.
    Consistent with the regulations at Sec. Sec.  412.23(g) and 
413.40(a)(2)(ii)(A) and (c)(3)(viii), we also have used the percentage 
increase in the IPPS operating market basket to update target amounts 
for short-term acute care hospitals located in the U.S. Virgin Islands, 
Guam, the Northern Mariana Islands, and American Samoa. In the FY 2022 
IPPS/LTCH PPS final rule (86 FR 45194 through 45207), we rebased and 
revised the IPPS operating market basket to a 2018 base year, and 
finalized the use of the percentage increase in the 2018-based IPPS 
operating market basket to update the target amounts for children's 
hospitals, the 11 cancer hospitals, RNHCIs, and short-term acute care 
hospitals located in the U.S. Virgin Islands, Guam, the Northern 
Mariana Islands, and American Samoa for FY 2022 and subsequent fiscal 
years. As discussed in section IV. of the preamble of this FY 2026 
IPPS/LTCH PPS proposed rule, we are proposing to rebase and revise the 
IPPS operating basket to a 2023 base year. Therefore, we are proposing 
to use the percentage increase in the proposed 2023-based IPPS 
operating market basket to update the target amounts for children's 
hospitals, the 11 cancer hospitals, RNHCIs, and short-term acute care 
hospitals located in the U.S. Virgin Islands, Guam, the Northern 
Mariana Islands, and American Samoa for FY 2026 and subsequent fiscal 
years. Accordingly, for FY 2026, the rate-of-increase percentage to be 
applied to the target amount for these hospitals would be the FY 2026 
percentage increase in the proposed 2023-based IPPS operating market 
basket.
    For the FY 2026 IPPS/LTCH PPS proposed rule, based on IGI's 2024 
fourth quarter forecast, we estimate that the proposed 2023-based IPPS 
operating market basket percentage increase for FY 2026 is 3.2 percent 
(that is, the estimate of the market basket rate-of-increase). Based on 
this estimate, the FY 2026 rate-of-increase percentage that will be 
applied to the FY 2025 target amounts in order to calculate the FY 2026 
target amounts for children's hospitals, the 11 cancer hospitals, 
RNHCIs, and short-term acute care hospitals located in the U.S. Virgin 
Islands, Guam, the Northern Mariana Islands, and American Samoa is 3.2 
percent, in accordance with the applicable regulations at 42 CFR 
413.40. However, we are proposing that if more recent data become 
available for the FY 2026 IPPS/LTCH PPS final rule, we would use such 
data, if appropriate, to calculate the final IPPS operating market 
basket update for FY 2026.
    In addition, payment for inpatient operating costs for hospitals 
classified under section 1886(d)(1)(B)(vi) of the Act (which we refer 
to as ``extended neoplastic disease care hospitals'') for

[[Page 18308]]

cost reporting periods beginning on or after January 1, 2015, is to be 
made as described in 42 CFR 412.526(c)(3), and payment for capital 
costs for these hospitals is to be made as described in 42 CFR 
412.526(c)(4). (For additional information on these payment 
regulations, we refer readers to the FY 2018 IPPS/LTCH PPS final rule 
(82 FR 38321 through 38322).) Section 412.526(c)(3) provides that the 
hospital's Medicare allowable net inpatient operating costs for that 
period are paid on a reasonable cost basis, subject to that hospital's 
ceiling, as determined under Sec.  412.526(c)(1), for that period. 
Under Sec.  412.526(c)(1), for each cost reporting period, the ceiling 
was determined by multiplying the updated target amount, as defined in 
Sec.  412.526(c)(2), for that period by the number of total Medicare 
discharges paid during that period. Section 412.526(c)(2)(i) describes 
the method for determining the target amount for cost reporting periods 
beginning during FY 2015. Section 412.526(c)(2)(ii) specifies that, for 
cost reporting periods beginning during fiscal years after FY 2015, the 
target amount will equal the hospital's target amount for the previous 
cost reporting period updated by the applicable annual rate-of-increase 
percentage specified in Sec.  413.40(c)(3) for the subject cost 
reporting period (79 FR 50197).
    For FY 2026, in accordance with Sec. Sec.  412.22(i) and 
412.526(c)(2)(ii) of the regulations, for cost reporting periods 
beginning during FY 2026, the proposed update to the target amount for 
extended neoplastic disease care hospitals (that is, hospitals 
described under Sec.  412.22(i)) is the applicable annual rate-of-
increase percentage specified in Sec.  413.40(c)(3), which is estimated 
to be the proposed percentage increase in the proposed 2023-based IPPS 
operating market basket (that is, the estimate of the market basket 
rate-of-increase). Accordingly, the proposed update to an extended 
neoplastic disease care hospital's target amount for FY 2026 is 3.2 
percent, which is based on IGI's fourth quarter 2024 forecast. 
Furthermore, we are proposing that if more recent data become available 
for the FY 2026 IPPS/LTCH PPS final rule, we would use such data, if 
appropriate, to calculate the IPPS operating market basket rate of 
increase for FY 2026.

B. Critical Access Hospitals (CAHs)

1. Background
    Section 1820 of the Act provides for the establishment of Medicare 
Rural Hospital Flexibility Programs (MRHFPs), under which individual 
States may designate certain facilities as critical access hospitals 
(CAHs). Facilities that are so designated and meet the CAH conditions 
of participation under 42 CFR part 485, subpart F, will be certified as 
CAHs by CMS. Regulations governing payments to CAHs for services to 
Medicare beneficiaries are located in 42 CFR part 413.
2. Frontier Community Health Integration Project Demonstration
a. Introduction
    The Frontier Community Health Integration Project Demonstration was 
originally authorized by section 123 of the Medicare Improvements for 
Patients and Providers Act of 2008 (Pub. L. 110-275). The demonstration 
has been extended by section 129 of the Consolidated Appropriations 
Act, 2021 (Pub. L. 116-260) for an additional 5 years. In this proposed 
rule, we are summarizing the status of the demonstration program, and 
the ongoing methodologies for implementation and budget neutrality for 
the demonstration extension period.
b. Background and Overview
    As discussed in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69416 
through 69419), section 123 of the Medicare Improvements for Patients 
and Providers Act of 2008, as amended by section 3126 of the Affordable 
Care Act, authorized a demonstration project to allow eligible entities 
to develop and test new models for the delivery of health care services 
in eligible counties in order to improve access to and better integrate 
the delivery of acute care, extended care and other health care 
services to Medicare beneficiaries. The demonstration was titled 
``Demonstration Project on Community Health Integration Models in 
Certain Rural Counties,'' and commonly known as the Frontier Community 
Health Integration Project (FCHIP) Demonstration.
    The authorizing statute stated the eligibility criteria for 
entities to be able to participate in the demonstration. An eligible 
entity, as defined in section 123(d)(1)(B) of Public Law 110-275, as 
amended, is a Medicare Rural Hospital Flexibility Program (MRHFP) 
grantee under section 1820(g) of the Act (that is, a CAH); and is 
located in a State in which at least 65 percent of the counties in the 
state are counties that have 6 or less residents per square mile.
    The authorizing statute stipulated several other requirements for 
the demonstration. In addition, section 123(g)(1)(B) of Public Law 110-
275 required that the demonstration be budget neutral. Specifically, 
this provision stated that, in conducting the demonstration project, 
the Secretary shall ensure that the aggregate payments made by the 
Secretary do not exceed the amount which the Secretary estimates would 
have been paid if the demonstration project under the section were not 
implemented. Furthermore, section 123(i) of Public Law 110-275 stated 
that the Secretary may waive such requirements of titles XVIII and XIX 
of the Act as may be necessary and appropriate for the purpose of 
carrying out the demonstration project, thus allowing the waiver of 
Medicare payment rules encompassed in the demonstration. CMS selected 
CAHs to participate in four interventions, under which specific waivers 
of Medicare payment rules would allow for enhanced payment for 
telehealth, skilled nursing facility/nursing facility beds, ambulance 
services, and home health services. These waivers were formulated with 
the goal of increasing access to care with no net increase in costs.
    Section 123 of Public Law 110-275 initially required a 3-year 
period of performance. The FCHIP Demonstration began on August 1, 2016, 
and concluded on July 31, 2019 (referred to in this section of the 
proposed rule as the ``initial period''). Subsequently, section 129 of 
the Consolidated Appropriations Act, 2021 (Pub. L. 116-260) extended 
the demonstration by 5 years (referred to in this section of the 
proposed rule as the ``extension period''). The Secretary is required 
to conduct the demonstration for an additional 5-year period. CAHs 
participating in the demonstration project during the extension period 
began such participation in their cost reporting year that began on or 
after January 1, 2022.
    As described in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69416 
through 69419), 10 CAHs were selected for participation in the 
demonstration initial period. The selected CAHs were located in three 
States--Montana, Nevada, and North Dakota--and participated in three of 
the four interventions identified in the FY 2025 IPPS/LTCH PPS final 
rule. Each CAH was allowed to participate in more than one of the 
interventions. None of the selected CAHs were participants in the home 
health intervention, which was the fourth intervention.
    In the FY 2022 IPPS/LTCH PPS final rule (86 FR 45323 through 
45328), CMS concluded that the initial period of the FCHIP 
Demonstration (covering the performance period of August 1, 2016, to 
July 31, 2019) had satisfied the

[[Page 18309]]

budget neutrality requirement described in section 123(g)(1)(B) of 
Public Law 110-275. Therefore, CMS did not apply a budget neutrality 
payment offset policy for the initial period of the demonstration.
    Section 129 of Public Law 116-260, stipulates that only the 10 CAHs 
that participated in the initial period of the FCHIP Demonstration are 
eligible to participate during the extension period. Among the eligible 
CAHs, five have elected to participate in the extension period. The 
selected CAHs are located in two States--Montana and North Dakota--and 
are implementing three of the four interventions. The eligible CAH 
participants elected to change the number of interventions and payment 
waivers they would participate in during the extension period. CMS 
accepted and approved the CAHs intervention and payment waiver updates. 
For the extension period, five CAHs are participants in the telehealth 
intervention, three CAHs are participants in the skilled nursing 
facility/nursing facility bed intervention, and three CAHs are 
participants in the ambulance services intervention. As with the 
initial period, each CAH was allowed to participate in more than one of 
the interventions during the extension period. None of the selected 
CAHs are participants in the home health intervention, which was the 
fourth intervention.
c. Intervention Payment and Payment Waivers
    As described in the FY 2025IPPS/LTCH PPS final rule (89 FR 69416 
through 69419), CMS waived certain Medicare rules for CAHs 
participating in the demonstration initial period to allow for 
alternative reasonable cost-based payment methods in the three distinct 
intervention service areas: telehealth services, ambulance services, 
and skilled nursing facility/nursing facility (SNF/NF) beds expansion. 
The payments and payment waiver provisions only apply if the CAH is a 
participant in the associated intervention. CMS Intervention Payment 
and Payment Waivers for the demonstration extension period consist of 
the following:
(1) Telehealth Services Intervention Payments
    CMS waives section 1834(m)(2)(B) of the Act, which specifies the 
facility fee to the originating site for Medicare telehealth services. 
CMS modifies the facility fee payment specified under section 
1834(m)(2)(B) of the Act to make reasonable cost-based reimbursement to 
the participating CAH where the participating CAH serves as the 
originating site for a telehealth service furnished to an eligible 
telehealth individual, as defined in section 1834(m)(4)(B) of the Act. 
CMS reimburses the participating CAH serving as the originating site at 
101 percent of its reasonable costs for overhead, salaries and fringe 
benefits associated with telehealth services at the participating CAH. 
CMS does not fund or provide reimbursement to the participating CAH for 
the purchase of new telehealth equipment.
    CMS waives section 1834(m)(2)(A) of the Act, which specifies that 
the payment for a telehealth service furnished by a distant site 
practitioner is the same as it would be if the service had been 
furnished in-person. CMS modifies the payment amount specified for 
telehealth services under section 1834(m)(2)(A) of the Act to make 
reasonable cost-based reimbursement to the participating CAH for 
telehealth services furnished by a physician or practitioner located at 
distant site that is a participating CAH that is billing for the 
physician or practitioner professional services. Whether the 
participating CAH has or has not elected Optional Payment Method II for 
outpatient services, CMS would pay the participating CAH 101 percent of 
reasonable costs for telehealth services when a physician or 
practitioner has reassigned their billing rights to the participating 
CAH and furnishes telehealth services from the participating CAH as a 
distant site practitioner. This means that participating CAHs that are 
billing under the Standard Method on behalf of employees who are 
physicians or practitioners (as defined in section 1834(m)(4)(D) and 
(E) of the Act, respectively) would be eligible to bill for distant 
site telehealth services furnished by these physicians and 
practitioners. Additionally, CAHs billing under the Optional Method 
would be reimbursed based on 101 percent of reasonable costs, rather 
than paid based on the Medicare physician fee schedule, for the distant 
site telehealth services furnished by physicians and practitioners who 
have reassigned their billing rights to the CAH. For distant site 
telehealth services furnished by physicians or practitioners who have 
not reassigned billing rights to a participating CAH, payment to the 
distant site physician or practitioner would continue to be made as 
usual under the Medicare physician fee schedule. Except as described 
herein, CMS does not waive any other provisions of section 1834(m) of 
the Act for purposes of the telehealth services intervention payments, 
including the scope of Medicare telehealth services as established 
under section 1834(m)(4)(F) of the Act.
(2) Ambulance Services Intervention Payments
    CMS waives 42 CFR 413.70(b)(5)(i)(D) and section 1834(l)(8) of the 
Act, which provides that payment for ambulance services furnished by a 
CAH, or an entity owned and operated by a CAH, is 101 percent of the 
reasonable costs of the CAH or the entity in furnishing the ambulance 
services, but only if the CAH or the entity is the only provider or 
supplier of ambulance services located within a 35-mile drive of the 
CAH, excluding ambulance providers or suppliers that are not legally 
authorized to furnish ambulance services to transport individuals to or 
from the CAH. The participating CAH would be paid 101 percent of 
reasonable costs for its ambulance services regardless of whether there 
is any provider or supplier of ambulance services located within a 35-
mile drive of the participating CAH or participating CAH-owned and 
operated entity. CMS would not make cost-based payment to the 
participating CAH for any new capital (for example, vehicles) 
associated with ambulance services. This waiver does not modify any 
other Medicare rules regarding or affecting the provision of ambulance 
services.
(3) SNF/NF Beds Expansion Intervention Payments
    CMS waives 42 CFR 485.620(a) and 485.645(a)(2) and section 
1820(c)(2)(B)(iii) of the Act which limit CAHs to maintaining no more 
than 25 inpatient beds, including beds available for acute inpatient or 
swing bed services. CMS waives section 1820(f) of the Act permitting 
designating or certifying a facility as a critical access hospital for 
which the facility at any time is furnishing inpatient beds which 
exceed more than 25 beds. Under this waiver, if the participating CAH 
has received swing bed approval from CMS, the participating CAH may 
maintain up to ten additional beds (for a total of 35 beds) available 
for acute inpatient or swing bed services; however, the participating 
CAH may only use these 10 additional beds for nursing facility or 
skilled nursing facility level of care. CMS would pay the participating 
CAH 101 percent of reasonable costs for its SNF/NF services furnished 
in the 10 additional beds.

[[Page 18310]]

d. Budget Neutrality
(1) Budget Neutrality Requirement
    In the FY 2022 IPPS/LTCH PPS final rule (86 FR 45323 through 
45328), we finalized a policy to address the budget neutrality 
requirement for the demonstration initial period. As explained in the 
FY 2022 IPPS/LTCH PPS final rule, we based our selection of CAHs for 
participation in the demonstration with the goal of maintaining the 
budget neutrality of the demonstration on its own terms meaning that 
the demonstration would produce savings from reduced transfers and 
admissions to other health care providers, offsetting any increase in 
Medicare payments as a result of the demonstration. However, because of 
the small size of the demonstration and uncertainty associated with the 
projected Medicare utilization and costs, the policy we finalized for 
the demonstration initial period of performance in the FY 2022 IPPS/
LTCH PPS final rule provides a contingency plan to ensure that the 
budget neutrality requirement in section 123 of Public Law 110-275 is 
met.
    In the FY 2023 IPPS/LTCH PPS final rule (87 FR 49144 through 
49147), we adopted the same budget neutrality policy contingency plan 
used during the demonstration initial period to ensure that the budget 
neutrality requirement in section 123 of Public Law 110-275 is met 
during the demonstration extension period. If analysis of claims data 
for Medicare beneficiaries receiving services at each of the 
participating CAHs, as well as from other data sources, including cost 
reports for the participating CAHs, shows that increases in Medicare 
payments under the demonstration during the 5-year extension period are 
not sufficiently offset by reductions elsewhere, we would recoup the 
additional expenditures attributable to the demonstration through a 
reduction in payments to all CAHs nationwide.
    As explained in the FY 2023 IPPS/LTCH PPS final rule, because of 
the small scale of the demonstration, we indicated that we did not 
believe it would be feasible to implement budget neutrality for the 
demonstration extension period by reducing payments to only the 
participating CAHs. Therefore, in the event that this demonstration 
extension period is found to result in aggregate payments in excess of 
the amount that would have been paid if this demonstration extension 
period were not implemented, CMS policy is to comply with the budget 
neutrality requirement finalized in the FY 2023 IPPS/LTCH PPS final 
rule, by reducing payments to all CAHs, not just those participating in 
the demonstration extension period.
    In the FY 2023 IPPS/LTCH PPS final rule (87 FR 49144 through 
49147), we stated that we believe it is appropriate to make any payment 
reductions across all CAHs because the FCHIP Demonstration was 
specifically designed to test innovations that affect delivery of 
services by the CAH provider category. We explained our belief that the 
language of the statutory budget neutrality requirement at section 
123(g)(1)(B) of Public Law 110-275 permits the agency to implement the 
budget neutrality provision in this manner. The statutory language 
merely refers to ensuring that aggregate payments made by the Secretary 
do not exceed the amount which the Secretary estimates would have been 
paid if the demonstration project was not implemented and does not 
identify the range across which aggregate payments must be held equal.
    In the FY 2023 IPPS/LTCH PPS final rule, we finalized a policy that 
in the event the demonstration extension period is found not to have 
been budget neutral, any excess costs would be recouped within one 
fiscal year. We explained our belief that this policy is a more 
efficient timeframe for the government to conclude the demonstration 
operational requirements (such as analyzing claims data, cost report 
data or other data sources) to adjudicate the budget neutrality payment 
recoupment process due to any excess cost that occurred as result of 
the demonstration extension period.
(2) FCHIP Budget Neutrality Methodology and Analytical Approach
    As explained in the FY 2022 IPPS/LTCH PPS final rule, we finalized 
a policy to address the demonstration budget neutrality methodology and 
analytical approach for the initial period of the demonstration. In the 
FY 2023 IPPS/LTCH PPS final rule, we finalized a policy to adopt the 
budget neutrality methodology and analytical approach used during the 
demonstration initial period to ensure budget neutrality for the 
extension period. The analysis of budget neutrality during the initial 
period of the demonstration identified both the costs related to 
providing the intervention services under the FCHIP Demonstration and 
any potential downstream effects of the intervention-related services, 
including any savings that may have accrued.
    The budget neutrality analytical approach for the demonstration 
initial period incorporated two major data components: (1) Medicare 
cost reports; and (2) Medicare administrative claims. As described in 
the FY 2022 IPPS/LTCH PPS final rule (86 FR 45323 through 45328), CMS 
computed the cost of the demonstration for each fiscal year of the 
demonstration initial period using Medicare cost reports for the 
participating CAHs, and Medicare administrative claims and enrollment 
data for beneficiaries who received demonstration intervention 
services.
    In addition, in order to capture the full impact of the 
interventions, CMS developed a statistical modeling, Difference-in-
Difference (DiD) regression analysis to estimate demonstration 
expenditures and compute the impact of expenditures on the intervention 
services by comparing cost data for the demonstration and non-
demonstration groups using Medicare administrative claims across the 
demonstration period of performance under the initial period of the 
demonstration. The DiD regression analysis would compare the direct 
cost and potential downstream effects of intervention services, 
including any savings that may have accrued, during the baseline and 
performance period for both the demonstration and comparison groups.
    Second, the Medicare administrative claims analysis would be 
reconciled using data obtained from auditing the participating CAHs' 
Medicare cost reports. We would estimate the costs of the demonstration 
using ``as submitted'' cost reports for each hospital's financial 
fiscal year participation within each of the demonstration extension 
period performance years. Each CAH has its own Medicare cost report end 
date applicable to the 5-year period of performance for the 
demonstration extension period. The cost report is structured to gather 
costs, revenues and statistical data on the provider's financial fiscal 
period. As a result, we finalized a policy in the FY 2023 IPPS/LTCH PPS 
final rule that we would determine the final budget neutrality results 
for the demonstration extension once complete data is available for 
each CAH for the demonstration extension period.
e. Policies for Implementing the 5-Year Extension and Provisions 
Authorized by Section 129 of the Consolidated Appropriations Act, 2021 
(Pub. L. 116-260)
    As stated in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69416 
through 69419), our policy for implementing the 5-year extension period 
for section 129 of Public Law 116-260 follows same budget neutrality 
methodology and analytical approach as the

[[Page 18311]]

demonstration initial period methodology. While we expect to use the 
same methodology that was used to assess the budget neutrality of the 
FCHIP Demonstration during initial period of the demonstration to 
assess the financial impact of the demonstration during this extension 
period, upon receiving data for the extension period, we may update 
and/or modify the FCHIP budget neutrality methodology and analytical 
approach to ensure that the full impact of the demonstration is 
appropriately captured.
f. Total Budget Neutrality Offset Amount for FY 2026
    At this time, for the FY 2026 IPPS/LTCH PPS proposed rule, while 
this discussion represents our anticipated approach to assessing the 
financial impact of the demonstration extension period based on upon 
receiving data for the full demonstration extension period, we may 
update and/or modify the FCHIP Demonstration budget neutrality 
methodology and analytical approach to ensure that the full impact of 
the demonstration is appropriately captured.
    Therefore, we do not propose to apply a budget neutrality payment 
offset to payments to CAHs in FY 2026. This policy would have no impact 
for any national payment system for FY 2026.

IX. Proposed Changes to the Long-Term Care Hospital Prospective Payment 
System (LTCH PPS) for FY 2026

A. Background of the LTCH PPS

1. Legislative and Regulatory Authority
    Section 123 of the Medicare, Medicaid, and SCHIP (State Children's 
Health Insurance Program) Balanced Budget Refinement Act of 1999 (BBRA) 
(Pub. L. 106-113), as amended by section 307(b) of the Medicare, 
Medicaid, and SCHIP Benefits Improvement and Protection Act of 2000 
(BIPA) (Pub. L. 106-554), provides for payment for both the operating 
and capital-related costs of hospital inpatient stays in long-term care 
hospitals (LTCHs) under Medicare Part A based on prospectively set 
rates. The Medicare prospective payment system (PPS) for LTCHs applies 
to hospitals that are described in section 1886(d)(1)(B)(iv) of the 
Act, effective for cost reporting periods beginning on or after October 
1, 2002.
    Section 1886(d)(1)(B)(iv)(I) of the Act originally defined an LTCH 
as a hospital that has an average inpatient length of stay (as 
determined by the Secretary) of greater than 25 days.
    Section 1886(d)(1)(B)(iv)(II) of the Act also provided an 
alternative definition of LTCHs (``subclause II'' LTCHs). However, 
section 15008 of the 21st Century Cures Act (Pub. L. 114-255) amended 
section 1886 of the Act to exclude former ``subclause II'' LTCHs from 
being paid under the LTCH PPS and created a new category of IPPS-
excluded hospitals, which we refer to as ``extended neoplastic disease 
care hospitals,'' to be paid as hospitals that were formally classified 
as ``subclause (II)'' LTCHs (82 FR 38298).
    Section 123 of the BBRA requires the PPS for LTCHs to be a ``per 
discharge'' system with a diagnosis-related group (DRG) based patient 
classification system that reflects the differences in patient resource 
use and costs in LTCHs.
    Section 307(b)(1) of the BIPA, among other things, mandates that 
the Secretary shall examine, and may provide for, adjustments to 
payments under the LTCH PPS, including adjustments to DRG weights, area 
wage adjustments, geographic reclassification, outliers, updates, and a 
disproportionate share adjustment.
    In the August 30, 2002, Federal Register (67 FR 55954), we issued a 
final rule that implemented the LTCH PPS authorized under the BBRA and 
BIPA. For the initial implementation of the LTCH PPS (FYs 2003 through 
2007), the system used information from LTCH patient records to 
classify patients into distinct long-term care-diagnosis-related groups 
(LTCDRGs) based on clinical characteristics and expected resource 
needs. Beginning in FY 2008, we adopted the Medicare severity-long-term 
care-diagnosis related groups (MS-LTC-DRGs) as the patient 
classification system used under the LTCH PPS. Payments are calculated 
for each MS-LTC-DRG and provisions are made for appropriate payment 
adjustments. Payment rates under the LTCH PPS are updated annually and 
published in the Federal Register.
    The LTCH PPS replaced the reasonable cost-based payment system 
under the Tax Equity and Fiscal Responsibility Act of 1982 (TEFRA) 
(Pub. L. 97-248) for payments for inpatient services provided by an 
LTCH with a cost reporting period beginning on or after October 1, 
2002. (The regulations implementing the TEFRA reasonable-cost-based 
payment provisions are located at 42 CFR part 413.) With the 
implementation of the PPS for acute care hospitals authorized by the 
Social Security Amendments of 1983 (Pub. L. 98-21), which added section 
1886(d) to the Act, certain hospitals, including LTCHs, were excluded 
from the PPS for acute care hospitals and paid their reasonable costs 
for inpatient services subject to a per discharge limitation or target 
amount under the TEFRA system. For each cost reporting period, a 
hospital specific ceiling on payments was determined by multiplying the 
hospital's updated target amount by the number of total current year 
Medicare discharges. (Generally, in this section of the preamble of 
this proposed rule, when we refer to discharges, we describe Medicare 
discharges.) The August 30, 2002, final rule further details the 
payment policy under the TEFRA system (67 FR 55954).
    In the August 30, 2002, final rule, we provided for a 5-year 
transition period from payments under the TEFRA system to payments 
under the LTCH PPS. During this 5-year transition period, an LTCH's 
total payment under the PPS was based on an increasing percentage of 
the Federal rate with a corresponding decrease in the percentage of the 
LTCH PPS payment that is based on reasonable cost concepts, unless an 
LTCH made a one-time election to be paid based on 100 percent of the 
Federal rate. Beginning with LTCHs' cost reporting periods beginning on 
or after October 1, 2006, total LTCH PPS payments are based on 100 
percent of the Federal rate.
    In addition, in the August 30, 2002, final rule, we presented an 
in-depth discussion of the LTCH PPS, including the patient 
classification system, relative weights, payment rates, additional 
payments, and the budget neutrality requirements mandated by section 
123 of the BBRA. The same final rule that established regulations for 
the LTCH PPS under 42 CFR part 412, subpart O, also contained LTCH 
provisions related to covered inpatient services, limitation on charges 
to beneficiaries, medical review requirements, furnishing of inpatient 
hospital services directly or under arrangement, and reporting and 
recordkeeping requirements. We refer readers to the August 30, 2002, 
final rule for a comprehensive discussion of the research and data that 
supported the establishment of the LTCH PPS (67 FR 55954).
    In the FY 2016 IPPS/LTCH PPS final rule (80 FR 49601 through 
49623), we implemented the provisions of the Pathway for Sustainable 
Growth Rate (SGR) Reform Act of 2013 (Pub. L. 113-67), which mandated 
the application of the ``site neutral'' payment rate under the LTCH PPS 
for discharges that do not meet the statutory criteria for exclusion 
beginning in FY 2016. For cost reporting periods beginning on or after 
October 1,

[[Page 18312]]

2015, discharges that do not meet certain statutory criteria for 
exclusion are paid based on the site neutral payment rate. Discharges 
that do meet the statutory criteria continue to receive payment based 
on the LTCH PPS standard Federal payment rate. For more information on 
the statutory requirements of the Pathway for SGR Reform Act of 2013, 
we refer readers to the FY 2016 IPPS/LTCH PPS final rule (80 FR 49601 
through 49623) and the FY 2017 IPPS/LTCH PPS final rule (81 FR 57068 
through 57075).
    In the FY 2018 IPPS/LTCH PPS final rule, we implemented several 
provisions of the 21st Century Cures Act (``the Cures Act'') (Pub. L. 
114-255) that affected the LTCH PPS. (For more information on these 
provisions, we refer readers to (82 FR 38299).)
    In the FY 2019 IPPS/LTCH PPS final rule (83 FR 41529), we made 
conforming changes to our regulations to implement the provisions of 
section 51005 of the Bipartisan Budget Act of 2018 (Pub. L. 115-123), 
which extends the transitional blended payment rate for site neutral 
payment rate cases for an additional 2 years. We refer readers to 
section VII.C. of the preamble of the FY 2019 IPPS/LTCH PPS final rule 
for a discussion of our final policy. In addition, in the FY 2019 IPPS/
LTCH PPS final rule, we removed the 25-percent threshold policy under 
42 CFR 412.538, which was a payment adjustment that was applied to 
payments for Medicare patient LTCH discharges when the number of such 
patients originating from any single referring hospital was in excess 
of the applicable threshold for given cost reporting period.
    In the FY 2020 IPPS/LTCH PPS final rule (84 FR 42439), we further 
revised our regulations to implement the provisions of the Pathway for 
SGR Reform Act of 2013 (Pub. L. 113-67) that relate to the payment 
adjustment for discharges from LTCHs that do not maintain the requisite 
discharge payment percentage and the process by which such LTCHs may 
have the payment adjustment discontinued.
2. Criteria for Classification as an LTCH
a. Classification as an LTCH
    Under the regulations at Sec.  412.23(e)(1), to qualify to be paid 
under the LTCH PPS, a hospital must have a provider agreement with 
Medicare. Furthermore, Sec.  412.23(e)(2)(i), which implements section 
1886(d)(1)(B)(iv) of the Act, requires that a hospital have an average 
Medicare inpatient length of stay of greater than 25 days to be paid 
under the LTCH PPS. In accordance with section 1206(a)(3) of the 
Pathway for SGR Reform Act of 2013 (Pub. L. 113-67), as amended by 
section 15007 of Public Law 114-255, we amended our regulations to 
specify that Medicare Advantage plans' and site neutral payment rate 
discharges are excluded from the calculation of the average length of 
stay for all LTCHs, for discharges occurring in cost reporting period 
beginning on or after October 1, 2015.
b. Hospitals Excluded From the LTCH PPS
    The following hospitals are paid under special payment provisions, 
as described in Sec.  412.22(c) and, therefore, are not subject to the 
LTCH PPS rules:
     Veterans Administration hospitals.
     Hospitals that are reimbursed under State cost control 
systems approved under 42 CFR part 403.
     Hospitals that are reimbursed in accordance with 
demonstration projects authorized under section 402(a) of the Social 
Security Amendments of 1967 (Pub. L. 90-248) (42 U.S.C. 1395b-1), 
section 222(a) of the Social Security Amendments of 1972 (Pub. L. 92-
603) (42 U.S.C. 1395b1 (note)) (Statewide-all payer systems, subject to 
the rate-of increase test at section 1814(b) of the Act), or section 
3021 of the Patient Protection and Affordable Care Act (Pub. L. 111-
148) (42 U.S.C. 1315a).
     Nonparticipating hospitals furnishing emergency services 
to Medicare beneficiaries.
3. Limitation on Charges to Beneficiaries
    In the August 30, 2002, final rule, we presented an in-depth 
discussion of beneficiary liability under the LTCH PPS (67 FR 55974 
through 55975). This discussion was further clarified in the RY 2005 
LTCH PPS final rule (69 FR 25676). In keeping with those discussions, 
if the Medicare payment to the LTCH is the full LTC-DRG payment amount, 
consistent with other established hospital prospective payment systems, 
Sec.  412.507 currently provides that an LTCH may not bill a Medicare 
beneficiary for more than the deductible and coinsurance amounts as 
specified under Sec. Sec.  409.82, 409.83, and 409.87, and for items 
and services specified under Sec.  489.30(a). However, under the LTCH 
PPS, Medicare will only pay for services furnished during the days for 
which the beneficiary has coverage until the short-stay outlier (SSO) 
threshold is exceeded. If the Medicare payment was for a SSO case (in 
accordance with Sec.  412.529), and that payment was less than the full 
LTC-DRG payment amount because the beneficiary had insufficient 
coverage as a result of the remaining Medicare days, the LTCH also is 
currently permitted to charge the beneficiary for services delivered on 
those uncovered days (in accordance with Sec.  412.507). In the FY 2016 
IPPS/LTCH PPS final rule (80 FR 49623), we amended our regulations to 
expressly limit the charges that may be imposed upon beneficiaries 
whose LTCHs' discharges are paid at the site neutral payment rate under 
the LTCH PPS. In the FY 2017 IPPS/LTCH PPS final rule (81 FR 57102), we 
amended the regulations under Sec.  412.507 to clarify our existing 
policy that blended payments made to an LTCH during its transitional 
period (that is, an LTCH's payment for discharges occurring in cost 
reporting periods beginning in FYs 2016 through 2019) are considered to 
be site neutral payment rate payments.

B. Medicare Severity Long-Term Care Diagnosis-Related Group (MS-LTC-
DRG) Classifications and Relative Weights for FY 2026

1. Background
    Section 123 of the BBRA required that the Secretary implement a PPS 
for LTCHs to replace the cost-based payment system under TEFRA. Section 
307(b)(1) of the BIPA modified the requirements of section 123 of the 
BBRA by requiring that the Secretary examine the feasibility and the 
impact of basing payment under the LTCH PPS on the use of existing (or 
refined) hospital DRGs that have been modified to account for different 
resource use of LTCH patients.
    Under both the IPPS and the LTCH PPS, the DRG-based classification 
system uses information on the claims for inpatient discharges to 
classify patients into distinct groups (for example, DRGs) based on 
clinical characteristics and expected resource needs. When the LTCH PPS 
was implemented for cost reporting periods beginning on or after 
October 1, 2002, we adopted the same DRG patient classification system 
utilized at that time under the IPPS. We referred to this patient 
classification system as the ``long-term care diagnosis-related groups 
(LTC-DRGs).'' As part of our efforts to better recognize severity of 
illness among patients, in the FY 2008 IPPS final rule with comment 
period (72 FR 47130), we adopted the MS-DRGs and the Medicare severity 
long-term care diagnosis-related groups (MS-LTC-DRGs) under the IPPS 
and the LTCH PPS, respectively, effective beginning October 1, 2007 (FY 
2008). For a full description of the development, implementation, and 
rationale for the use of the MS-DRGs and MS-LTC-

[[Page 18313]]

DRGs, we refer readers to the FY 2008 IPPS final rule with comment 
period (72 FR 47141 through 47175 and 47277 through 47299). (We note 
that, in that same final rule, we revised the regulations at Sec.  
412.503 to specify that for LTCH discharges occurring on or after 
October 1, 2007, when applying the provisions of 42 CFR part 412, 
subpart O, applicable to LTCHs for policy descriptions and payment 
calculations, all references to LTC-DRGs would be considered a 
reference to MS-LTC-DRGs. For the remainder of this section, we present 
the discussion in terms of the current MS-LTC-DRG patient 
classification system unless specifically referring to the previous 
LTC-DRG patient classification system that was in effect before October 
1, 2007.)
    Consistent with section 123 of the BBRA, as amended by section 
307(b)(1) of the BIPA, and Sec.  412.515 of the regulations, we use 
information derived from LTCH PPS patient records to classify LTCH 
discharges into distinct MS-LTC-DRGs based on clinical characteristics 
and estimated resource needs. As noted previously, we adopted the same 
DRG patient classification system utilized at that time under the IPPS. 
The MS-DRG classifications are updated annually, which has resulted in 
the number of MS-DRGs changing over time. For FY 2026, there would be 
774 MS-DRG, and by extension, MS-LTC-DRG, groupings based on the 
proposed changes, as discussed in section II.E. of the preamble of this 
proposed rule.
    Although the patient classification system used under both the LTCH 
PPS and the IPPS are the same, the relative weights are different. The 
established relative weight methodology and data used under the LTCH 
PPS result in relative weights under the LTCH PPS that reflect the 
differences in patient resource use of LTCH patients, consistent with 
section 123(a)(1) of the BBRA. That is, we assign an appropriate weight 
to the MS-LTC-DRGs to account for the differences in resource use by 
patients exhibiting the case complexity and multiple medical problems 
characteristic of LTCH patients.
2. Patient Classifications Into MS-LTC-DRGs
a. Background
    The MS-DRGs (used under the IPPS) and the MS-LTC-DRGs (used under 
the LTCH PPS) are based on the CMS DRG structure. As noted previously 
in this section, we refer to the DRGs under the LTCH PPS as MS-LTC-DRGs 
although they are structurally identical to the MS-DRGs used under the 
IPPS.
    The MS-DRGs are organized into 25 major diagnostic categories 
(MDCs), most of which are based on a particular organ system of the 
body; the remainder involve multiple organ systems (such as MDC 22, 
Burns). Within most MDCs, cases are then divided into surgical DRGs and 
medical DRGs. Surgical DRGs are assigned based on a surgical hierarchy 
that orders operating room (O.R.) procedures or groups of O.R. 
procedures by resource intensity. The GROUPER software program does not 
recognize all ICD-10-PCS procedure codes as procedures affecting DRG 
assignment. That is, procedures that are not surgical (for example, 
EKGs) or are minor surgical procedures (for example, a biopsy of skin 
and subcutaneous tissue (procedure code 0JBH3ZX)) do not affect the MS-
LTC-DRG assignment based on their presence on the claim.
    Generally, under the LTCH PPS, a Medicare payment is made at a 
predetermined specific rate for each discharge that varies based on the 
MS-LTC-DRG to which a beneficiary's discharge is assigned. Cases are 
classified into MS-LTC-DRGs for payment based on the following six data 
elements:
     Principal diagnosis.
     Additional or secondary diagnoses.
     Surgical procedures.
     Age.
     Sex.
     Discharge status of the patient.
    Currently, for claims submitted using the version ASC X12 5010 
standard, up to 25 diagnosis codes and 25 procedure codes are 
considered for an MS-DRG assignment. This includes one principal 
diagnosis and up to 24 secondary diagnoses for severity of illness 
determinations. (For additional information on the processing of up to 
25 diagnosis codes and 25 procedure codes on hospital inpatient claims, 
we refer readers to section II.G.11.c. of the preamble of the FY 2011 
IPPS/LTCH PPS final rule (75 FR 50127).)
    Under the HIPAA transactions and code sets regulations at 45 CFR 
parts 160 and 162, covered entities (45 CFR 160.103) must comply with 
the adopted transaction standards and operating rules specified in 
subparts I through S of part 162. Among other requirements, on or after 
January 1, 2012, covered entities are required to use the ASC X12 
Standards for Electronic Data Interchange Technical Report Type 3--
Health Care Claim: Institutional (837), May 2006, ASC X12N/005010X223, 
and Type 1 Errata to Health Care Claim: Institutional (837) ASC X12 
Standards for Electronic Data Interchange Technical Report Type 3, 
October 2007, ASC X12N/005010X233A1 for the health care claims or 
equivalent encounter information transaction (45 CFR 162.1102(c)).
    HIPAA requires covered entities to use the applicable medical data 
code sets when conducting HIPAA transactions (45 CFR 162.1000). 
Currently, upon the discharge of the patient, the LTCH must assign 
appropriate diagnosis and procedure codes from the International 
Classification of Diseases, 10th Revision, Clinical Modification (ICD-
10-CM) for diagnosis coding and the International Classification of 
Diseases, 10th Revision, Procedure Coding System (ICD-10-PCS) for 
inpatient hospital procedure coding, both of which were required to be 
implemented October 1, 2015 (45 CFR 162.1002(c)(2) and (3)). For 
additional information on the implementation of the ICD-10 coding 
system, we refer readers to section II.F.1. of the preamble of the FY 
2017 IPPS/LTCH PPS final rule (81 FR 56787 through 56790) and section 
II.E.1. of the preamble of this proposed rule. Additional coding 
instructions and examples are published in the AHA's Coding Clinic for 
ICD-10-CM/PCS.
    To create the MS-DRGs (and by extension, the MS-LTC-DRGs), base 
DRGs were subdivided according to the presence of specific secondary 
diagnoses designated as complications or comorbidities (CCs) into one, 
two, or three levels of severity, depending on the impact of the CCs on 
resources used for those cases. Specifically, there are sets of MS-DRGs 
that are split into 2 or 3 subgroups based on the presence or absence 
of a CC or a major complication or comorbidity (MCC). We refer readers 
to section II.D. of the preamble of the FY 2008 IPPS final rule with 
comment period for a detailed discussion about the creation of MS-DRGs 
based on severity of illness levels (72 FR 47141 through 47175).
    Medicare Administrative Contractors (MACs) enter the clinical and 
demographic information submitted by LTCHs into their claims processing 
systems and subject this information to a series of automated screening 
processes called the Medicare Code Editor (MCE). These screens are 
designed to identify cases that require further review before 
assignment into a MS-LTC-DRG can be made. During this process, certain 
types of cases are selected for further explanation (74 FR 43949).
    After screening through the MCE, each claim is classified into the 
appropriate MS-LTC-DRG by the Medicare LTCH GROUPER software on the 
basis of diagnosis and procedure codes and other demographic

[[Page 18314]]

information (age, sex, and discharge status). The GROUPER software used 
under the LTCH PPS is the same GROUPER software program used under the 
IPPS. Following the MS-LTC-DRG assignment, the MAC determines the 
prospective payment amount by using the Medicare PRICER program, which 
accounts for hospital-specific adjustments. Under the LTCH PPS, we 
provide an opportunity for LTCHs to review the MS-LTC-DRG assignments 
made by the MAC and to submit additional information within a specified 
timeframe as provided in Sec.  412.513(c).
    The GROUPER software is used both to classify past cases to measure 
relative hospital resource consumption to establish the MS-LTC-DRG 
relative weights and to classify current cases for purposes of 
determining payment. The records for all Medicare hospital inpatient 
discharges are maintained in the MedPAR file. The data in this file are 
used to evaluate possible MS-DRG and MS-LTC-DRG classification changes 
and to recalibrate the MS-DRG and MS-LTC-DRG relative weights during 
our annual update under both the IPPS (Sec.  412.60(e)) and the LTCH 
PPS (Sec.  412.517), respectively.
b. Proposed Changes to the MS-LTC-DRGs for FY 2026
    As specified by our regulations at Sec.  412.517(a), which require 
that the MS-LTC-DRG classifications and relative weights be updated 
annually, and consistent with our historical practice of using the same 
patient classification system under the LTCH PPS as is used under the 
IPPS, in this proposed rule, we are proposing to update the MS-LTC-DRG 
classifications effective October 1, 2025, through September 30, 2026 
(FY 2026), consistent with the proposed changes to specific MS-DRG 
classifications presented in section II.F. of the preamble of this 
proposed rule. Accordingly, the proposed MS-LTC-DRGs for FY 2026 are 
the same as the MS-DRGs being proposed for use under the IPPS for FY 
2026. In addition, because the proposed MS-LTC-DRGs for FY 2026 are the 
same as the proposed MS-DRGs for FY 2026, the other proposed changes 
that affect MS-DRG (and by extension MS-LTC-DRG) assignments under 
proposed GROUPER Version 43, as discussed in section II.E. of the 
preamble of this proposed rule, including the proposed changes to the 
MCE software and the ICD-10-CM/PCS coding system, are also applicable 
under the LTCH PPS for FY 2026.
3. Proposed Development of the FY 2026 MS-LTC-DRG Relative Weights
a. General Overview of the MS-LTC-DRG Relative Weights
    One of the primary goals for the implementation of the LTCH PPS is 
to pay each LTCH an appropriate amount for the efficient delivery of 
medical care to Medicare patients. The system must be able to account 
adequately for each LTCH's case-mix to ensure both fair distribution of 
Medicare payments and access to adequate care for those Medicare 
patients whose care is costlier (67 FR 55984). To accomplish these 
goals, we have annually adjusted the LTCH PPS standard Federal 
prospective payment rate by the applicable relative weight in 
determining payment to LTCHs for each case. Under the LTCH PPS, 
relative weights for each MS-LTC-DRG are a primary element used to 
account for the variations in cost per discharge and resource 
utilization among the payment groups (Sec.  412.515). To ensure that 
Medicare patients classified to each MS-LTC-DRG have access to an 
appropriate level of services and to encourage efficiency, we calculate 
a relative weight for each MS-LTC-DRG that represents the resources 
needed by an average inpatient LTCH case in that MS-LTC-DRG. For 
example, cases in an MS-LTC-DRG with a relative weight of 2 would, on 
average, cost twice as much to treat as cases in an MS-LTC-DRG with a 
relative weight of 1.
    The established methodology to develop the MS-LTC-DRG relative 
weights is generally consistent with the methodology established when 
the LTCH PPS was implemented in the August 30, 2002, LTCH PPS final 
rule (67 FR 55989 through 55991). However, there have been some 
modifications of our historical procedures for assigning relative 
weights in cases of zero volume or nonmonotonicity or both resulting 
from the adoption of the MS-LTC-DRGs. We also made a modification in 
conjunction with the implementation of the dual rate LTCH PPS payment 
structure beginning in FY 2016 to use LTCH claims data from only LTCH 
PPS standard Federal payment rate cases (or LTCH PPS cases that would 
have qualified for payment under the LTCH PPS standard Federal payment 
rate if the dual rate LTCH PPS payment structure had been in effect at 
the time of the discharge). We also adopted, beginning in FY 2023, a 
10-percent cap policy on the reduction in a MS-LTC-DRG's relative 
weight in a given year. (For details on the modifications to our 
historical procedures for assigning relative weights in cases of zero 
volume and nonmonotonicity or both, we refer readers to the FY 2008 
IPPS final rule with comment period (72 FR 47289 through 47295) and the 
FY 2009 IPPS final rule (73 FR 48542 through 48550)). For details on 
the change in our historical methodology to use LTCH claims data only 
from LTCH PPS standard Federal payment rate cases (or cases that would 
have qualified for such payment had the LTCH PPS dual payment rate 
structure been in effect at the time) to determine the MS-LTC-DRG 
relative weights, we refer readers to the FY 2016 IPPS/LTCH PPS final 
rule (80 FR 49614 through 49617). For details on our adoption of the 
10-percent cap policy, we refer readers to the FY 2023 IPPS/LTCH PPS 
final rule (87 FR 49152 through 49154).)
    For purposes of determining the MS-LTC-DRG relative weights, under 
our historical methodology, there are three different categories of MS-
LTC-DRGs based on volume of cases within specific MS-LTC-DRGs: (1) MS-
LTC-DRGs with at least 25 applicable LTCH cases in the data used to 
calculate the relative weight, which are each assigned a unique 
relative weight; (2) low-volume MS-LTC-DRGs (that is, MS-LTC-DRGs that 
contain between 1 and 24 applicable LTCH cases that are grouped into 
quintiles (as described later in this section in Step 3 of our proposed 
methodology) and assigned the relative weight of the quintile); and (3) 
no-volume MS-LTC-DRGs that are cross-walked to other MS-LTC-DRGs based 
on the clinical similarities and assigned the relative weight of the 
cross-walked MS-LTC-DRG (as described later in this section in Step 8 
of our proposed methodology). For FY 2026, we are proposing to continue 
to use applicable LTCH cases to establish the same volume-based 
categories to calculate the FY 2026 MS-LTC-DRG relative weights.
b. Development of the MS-LTC-DRG Relative Weights for FY 2026
    In this section, we present our proposed methodology for 
determining the MS-LTC-DRG relative weights for FY 2026. We first list 
and provide a brief description of our proposed steps for determining 
the FY 2026 MS-LTC-DRG relative weights. Later in this section, we 
discuss in greater detail each step. We note that, as we did in FY 
2025, we are proposing to use our historical relative weight 
methodology as described in the FY 2021 IPPS/LTCH PPS final rule (85 FR 
58898 through 58907), subject to a ten percent cap as described in the 
FY 2023 IPPS/LTCH PPS final rule (87 FR 49162).
     Step 1--Prepare data for MS-LTC-DRG relative weight 
calculation. In this

[[Page 18315]]

step, we select and group the applicable claims data used in the 
development of the proposed MS-LTC-DRG relative weights.
     Step 2--Remove cases with a length of stay of 7 days or 
less. In this step, we trim the applicable claims data to remove cases 
with a length of stay of 7 days or less.
     Step 3--Establish low-volume MS-LTC-DRG quintiles. In this 
step, we employ our established quintile methodology for low-volume MS-
LTC-DRGs (that is, MS-LTC-DRGs with fewer than 25 cases).
     Step 4--Remove statistical outliers. In this step, we trim 
the applicable claims data to remove statistical outlier cases.
     Step 5--Adjust charges for the effects of Short Stay 
Outliers (SSOs). In this step, we adjust the number of applicable cases 
in each MS-LTC-DRG (or low-volume quintile) for the effect of SSO 
cases.
     Step 6--Calculate the relative weights on an iterative 
basis using the hospital-specific relative weights methodology. In this 
step, we use our established hospital-specific relative value (HSRV) 
methodology, which is an iterative process, to calculate the relative 
weights.
     Step 7--Adjust the relative weights to account for 
nonmonotonically increasing relative weights. In this step, we make 
adjustments that ensure that within each base MS-LTC-DRG, the relative 
weights increase by MS-LTC-DRG severity.
     Step 8--Determine a relative weight for MS-LTC-DRGs with 
no applicable LTCH cases. In this step, we cross-walk each no-volume 
MS-LTC-DRG to another MS-LTC-DRG for which we calculated a relative 
weight.
     Step 9--Budget neutralize the uncapped relative weights. 
In this step, to ensure budget neutrality in the annual update to the 
MS-LTC-DRG classifications and relative weights, we adjust the relative 
weights by a normalization factor and a budget neutrality factor that 
ensures estimated aggregate LTCH PPS payments will be unaffected by the 
updates to the MS-LTC-DRG classifications and relative weights.
     Step 10--Apply the 10-percent cap to decreases in MS-LTC-
DRG relative weights. In this step we limit the reduction of the 
relative weight for a MS-LTC-DRG to 10 percent of its prior year value. 
This 10-percent cap does not apply to zero-volume MS-LTC-DRGs or low-
volume MS-LTC-DRGs.
     Step 11--Budget neutralize the application of the 10-
percent cap policy. In this step, to ensure budget neutrality in the 
application of the MS-LTC-DRG cap policy, we adjust the relative 
weights by a budget neutrality factor that ensures estimated aggregate 
LTCH PPS payments will be unaffected by our application of the cap to 
the MS-LTC-DRG relative weights.
    We next describe each of the 11 proposed steps for calculating the 
proposed FY 2026 MS-LTC-DRG relative weights in greater detail.
    Step 1--Prepare data for MS-LTC-DRG relative weight calculation.
    For this FY 2026 IPPS/LTCH PPS proposed rule, we obtained total 
charges from FY 2024 Medicare LTCH claims data from the December 2024 
update of the FY 2024 MedPAR file and used proposed Version 43 of the 
GROUPER to classify LTCH cases. Consistent with our historical 
practice, we are proposing that if better data become available, we 
would use those data and the finalized Version 43 of the GROUPER in 
establishing the FY 2026 MS-LTC-DRG relative weights in the final rule.
    To calculate the FY 2026 MS-LTC-DRG relative weights under the dual 
rate LTCH PPS payment structure, we are proposing to continue to use 
applicable LTCH data, which includes our policy of only using cases 
that meet the criteria for exclusion from the site neutral payment rate 
(or would have met the criteria had they been in effect at the time of 
the discharge) (80 FR 49624). Section 3711(b)(2) of the CARES Act 
provided a waiver of the application of the site neutral payment rate 
for LTCH cases admitted during the COVID-19 PHE period. The COVID-19 
PHE expired on May 11, 2023. Therefore, nearly all LTCH PPS cases in FY 
2024 were subject to the dual rate LTCH PPS payment structure. However, 
a small number of FY 2024 LTCH PPS cases (those with admission dates on 
or before May 11, 2023) were subject to the CARES Act waiver and were 
paid the LTCH PPS standard Federal rate regardless of whether the 
discharge met the statutory patient criteria. Therefore, for purposes 
of setting rates for LTCH PPS standard Federal rate cases for FY 2026 
(including MS-LTC-DRG relative weights), we are proposing to identify 
FY 2024 cases that meet the statutory patient criteria depending on 
date of admission as follows. First, we propose to use LTCH PPS cases 
in the FY 2024 MedPAR file with an admission date after May 11, 2023, 
that met the criteria for exclusion from the site neutral payment rate 
under Sec.  412.522(b) and were paid the LTCH PPS standard Federal rate 
in FY 2024 (based on the claim payment amount). Second, we propose to 
also use LTCH PPS cases in the FY 2024 MedPAR file with an admission 
date on or before May 11, 2023, that would have met the criteria for 
exclusion from the site neutral payment rate if the CARES Act waiver 
had not been in effect. For these cases we relied on our historical 
process for identifying cases that would have met the criteria for 
exclusion from the site neutral payment rate rather than how those 
cases were paid in FY 2024. This process is explained in full detail in 
the FY 2024 IPPS/LTCH PPS final rule (89 FR 69425).
    Furthermore, consistent with our historical methodology, we 
excluded any claims in the resulting data set that were submitted by 
LTCHs that were all-inclusive rate providers and LTCHs that are paid in 
accordance with demonstration projects authorized under section 402(a) 
of Public Law 90-248 or section 222(a) of Public Law 92-603. In 
addition, consistent with our historical practice and our policies, we 
excluded any Medicare Advantage (Part C) claims in the resulting data. 
Such claims were identified based on the presence of a GHO Paid 
indicator value of ``1'' in the MedPAR files.
    In summary, in general, we identified the claims data used in the 
development of the FY 2026 MS-LTC-DRG relative weights in this proposed 
rule by trimming claims data that were paid the site neutral payment 
rate or would have been paid the site neutral payment rate had the 
provisions of the CARES Act not been in effect. We trimmed the claims 
data of all-inclusive rate providers reported in the December 2024 
update of the FY 2024 MedPAR file and any Medicare Advantage claims 
data. There were no data from any LTCHs that are paid in accordance 
with a demonstration project reported in the December 2024 update of 
the FY 2024 MedPAR file, but had there been any, we would have trimmed 
the claims data from those LTCHs as well, in accordance with our 
established policy.
    We used the remaining data (that is, the applicable LTCH data) in 
the subsequent proposed steps to calculate the proposed MS-LTC-DRG 
relative weights for FY 2026.
    Step 2--Remove cases with a length of stay of 7 days or less.
    The next step in our proposed calculation of the proposed FY 2026 
MS-LTC-DRG relative weights is to remove cases with a length of stay of 
7 days or less. The MS-LTC-DRG relative weights reflect the average of 
resources used on representative cases of a specific type. Generally, 
cases with a length of stay of 7 days or less do not belong in an LTCH 
because these stays do not fully receive or benefit from treatment that 
is typical in an LTCH

[[Page 18316]]

stay, and full resources are often not used in the earlier stages of 
admission to an LTCH. If we were to include stays of 7 days or less in 
the computation of the proposed FY 2026 MS-LTC-DRG relative weights, 
the value of many relative weights would decrease and, therefore, 
payments would decrease to a level that may no longer be appropriate. 
We do not believe that it would be appropriate to compromise the 
integrity of the payment determination for those LTCH cases that 
actually benefit from and receive a full course of treatment at an LTCH 
by including data from these very short stays. Therefore, consistent 
with our existing relative weight methodology, in determining the 
proposed FY 2026 MS-LTC-DRG relative weights, we are proposing to 
remove LTCH cases with a length of stay of 7 days or less from 
applicable LTCH cases. (For additional information on what is removed 
in this step of the relative weight methodology, we refer readers to 67 
FR 55989 and 74 FR 43959.)
    Step 3--Establish low-volume MS-LTC-DRG quintiles.
    To account for MS-LTC-DRGs with low-volume (that is, with fewer 
than 25 applicable LTCH cases), consistent with our existing 
methodology, we are proposing to continue to employ the quintile 
methodology for low-volume MS-LTC-DRGs, such that we grouped the ``low-
volume MS-LTC-DRGs'' (that is, MS-LTC-DRGs that contain between 1 and 
24 applicable LTCH cases into one of five categories (quintiles) based 
on average charges (67 FR 55984 through 55995; 72 FR 47283 through 
47288; and 81 FR 25148)).
    In this proposed rule, based on the best available data (that is, 
the December 2024 update of the FY 2024 MedPAR file), we identified 239 
MS-LTC-DRGs that contained between 1 and 24 applicable LTCH cases. This 
list of MS-LTC-DRGs was then divided into 1 of the 5 low-volume 
quintiles. We assigned the low-volume MS-LTC-DRGs to specific low-
volume quintiles by sorting the low-volume MS-LTC-DRGs in ascending 
order by average charge in accordance with our established methodology. 
Based on the data available for this proposed rule, the number of MS-
LTC-DRGs with less than 25 applicable LTCH cases was not evenly 
divisible by 5. The quintiles each contained at least 47 MS-LTC-DRGs 
(239/5 = 47 with a remainder of 4). We are proposing to employ our 
historical methodology of assigning each remainder low-volume MS-LTC-
DRG to the low-volume quintile that contains an MS-LTC-DRG with an 
average charge closest to that of the remainder low-volume MS-LTC-DRG. 
In cases where these initial assignments of low-volume MS-LTC-DRGs to 
quintiles results in nonmonotonicity within a base-DRG, we are 
proposing to make adjustments to the resulting low-volume MS-LTC-DRGs 
to preserve monotonicity, as discussed in Step 7 of our proposed 
methodology.
    To determine the FY 2026 relative weights for the low-volume MS-
LTC-DRGs, consistent with our historical practice, we are proposing to 
use the five low-volume quintiles described previously. We determined a 
relative weight and (geometric) average length of stay for each of the 
five low-volume quintiles using the methodology described in Step 6 of 
our proposed methodology. We assigned the same relative weight and 
average length of stay to each of the low-volume MS-LTC-DRGs that make 
up an individual low-volume quintile. We note that, as this system is 
dynamic, it is possible that the number and specific type of MS-LTC-
DRGs with a low volume of applicable LTCH cases would vary in the 
future. Furthermore, we note that we continue to monitor the volume 
(that is, the number of applicable LTCH cases) in the low-volume 
quintiles to ensure that our quintile assignments used in determining 
the MS-LTC-DRG relative weights result in appropriate payment for LTCH 
cases grouped to low-volume MS-LTC-DRGs and do not result in an 
unintended financial incentive for LTCHs to inappropriately admit these 
types of cases.
    For this proposed rule, we are providing the list of the 
composition of the proposed low-volume quintiles for low-volume MS-LTC-
DRGs in a supplemental data file for public use posted via the internet 
on the CMS website for this proposed rule at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html 
to streamline the information made available to the public that is used 
in the annual development of Table 11.
    Step 4--Remove statistical outliers.
    The next step in our proposed calculation of the proposed FY 2026 
MS-LTC-DRG relative weights is to remove statistical outlier cases from 
the LTCH cases with a length of stay of at least 8 days. Consistent 
with our existing relative weight methodology, we are proposing to 
continue to define statistical outliers as cases that are outside of 
3.0 standard deviations from the mean of the log distribution of both 
charges per case and the charges per day for each MS-LTC-DRG. These 
statistical outliers are removed prior to calculating the relative 
weights because we believe that they may represent aberrations in the 
data that distort the measure of average resource use. Including those 
LTCH cases in the calculation of the relative weights could result in 
an inaccurate relative weight that does not truly reflect relative 
resource use among those MS-LTC-DRGs. (For additional information on 
what is removed in this step of the relative weight methodology, we 
refer readers to 67 FR 55989 and 74 FR 43959.) After removing cases 
with a length of stay of 7 days or less and statistical outliers, in 
each set of claims, we were left with applicable LTCH cases that have a 
length of stay greater than or equal to 8 days. In this proposed rule, 
we refer to these cases as ``trimmed applicable LTCH cases.''
    Step 5--Adjust charges for the effects of Short Stay Outliers 
(SSOs).
    As the next step in the proposed calculation of the proposed FY 
2026 MS-LTC-DRG relative weights, consistent with our historical 
approach, we are proposing to adjust each LTCH's charges per discharge 
for those remaining cases (that is, trimmed applicable LTCH cases) for 
the effects of SSOs (as defined in Sec.  412.529(a) in conjunction with 
Sec.  412.503). Specifically, we are proposing to make this adjustment 
by counting an SSO case as a fraction of a discharge based on the ratio 
of the length of stay of the case to the average length of stay of all 
cases grouped to the MS-LTC-DRG. This has the effect of proportionately 
reducing the impact of the lower charges for the SSO cases in 
calculating the average charge for the MS-LTC-DRG. This process 
produces the same result as if the actual charges per discharge of an 
SSO case were adjusted to what they would have been had the patient's 
length of stay been equal to the average length of stay of the MS-LTC-
DRG.
    Counting SSO cases as full LTCH cases with no adjustment in 
determining the proposed FY 2026 MS-LTC-DRG relative weights would 
lower the relative weight for affected MS-LTC-DRGs because the 
relatively lower charges of the SSO cases would bring down the average 
charge for all cases within a MS-LTC-DRG. This would result in an 
``underpayment'' for non-SSO cases and an ``overpayment'' for SSO 
cases. Therefore, we propose to continue to adjust for SSO cases under 
Sec.  412.529 in this manner because it would result in more 
appropriate payments for all LTCH PPS standard Federal payment rate 
cases. (For additional information on this step of the relative weight 
methodology, we refer readers to 67 FR 55989 and 74 FR 43959.)

[[Page 18317]]

    Step 6--Calculate the relative weights on an iterative basis using 
the hospital-specific relative value methodology.
    By nature, LTCHs often specialize in certain areas, such as 
ventilator-dependent patients. Some case types (MS-LTC-DRGs) may be 
treated, to a large extent, in hospitals that have, from a perspective 
of charges, relatively high (or low) charges. This nonrandom 
distribution of cases with relatively high (or low) charges in specific 
MS-LTC-DRGs has the potential to inappropriately distort the measure of 
average charges. To account for the fact that cases may not be randomly 
distributed across LTCHs, consistent with the methodology we have used 
since the implementation of the LTCH PPS, in this FY 2026 IPPS/LTCH PPS 
proposed rule, we are proposing to continue to use a hospital-specific 
relative value (HSRV) methodology to calculate the MS-LTC-DRG relative 
weights for FY 2026. We believe that this method removes this hospital-
specific source of bias in measuring LTCH average charges (67 FR 
55985). Specifically, under this methodology, we reduced the impact of 
the variation in charges across providers on any particular MS-LTC-DRG 
relative weight by converting each LTCH's charge for an applicable LTCH 
case to a relative value based on that LTCH's average charge for such 
cases.
    Under the HSRV methodology, we standardize charges for each LTCH by 
converting its charges for each applicable LTCH case to hospital-
specific relative charge values and then adjusting those values for the 
LTCH's case-mix. The adjustment for case-mix is needed to rescale the 
hospital-specific relative charge values (which, by definition, average 
1.0 for each LTCH). The average relative weight for an LTCH is its 
case-mix; therefore, it is reasonable to scale each LTCH's average 
relative charge value by its case-mix. In this way, each LTCH's 
relative charge value is adjusted by its case-mix to an average that 
reflects the complexity of the applicable LTCH cases it treats relative 
to the complexity of the applicable LTCH cases treated by all other 
LTCHs (the average LTCH PPS case-mix of all applicable LTCH cases 
across all LTCHs). In other words, by multiplying an LTCH's relative 
charge values by the LTCH's case-mix index, we account for the fact 
that the same relative charges are given greater weight at an LTCH with 
higher average costs than they would at an LTCH with low average costs, 
which is needed to adjust each LTCH's relative charge value to reflect 
its case-mix relative to the average case-mix for all LTCHs. By 
standardizing charges in this manner, we count charges for a Medicare 
patient at an LTCH with high average charges as less resource-intensive 
than they would be at an LTCH with low average charges. For example, a 
$10,000 charge for a case at an LTCH with an average adjusted charge of 
$17,500 reflects a higher level of relative resource use than a $10,000 
charge for a case at an LTCH with the same case-mix, but an average 
adjusted charge of $35,000. We believe that the adjusted charge of an 
individual case more accurately reflects actual resource use for an 
individual LTCH because the variation in charges due to systematic 
differences in the markup of charges among LTCHs is taken into account.
    Consistent with our historical relative weight methodology, we 
propose to calculate the proposed FY 2026 MS-LTC-DRG relative weights 
using the HSRV methodology, which is an iterative process. Therefore, 
in accordance with our established methodology, for FY 2026, we are 
proposing to continue to standardize charges for each applicable LTCH 
case by first dividing the adjusted charge for the case (adjusted for 
SSOs under Sec.  412.529 as described in Step 5 of our proposed 
methodology) by the average adjusted charge for all applicable LTCH 
cases at the LTCH in which the case was treated. The average adjusted 
charge reflects the average intensity of the health care services 
delivered by a particular LTCH and the average cost level of that LTCH. 
The average adjusted charge is then multiplied by the LTCH's case-mix 
index to produce an adjusted hospital-specific relative charge value 
for the case. We used an initial case-mix index value of 1.0 for each 
LTCH.
    For each proposed MS-LTC-DRG, we calculated the FY 2026 relative 
weight by dividing the SSO-adjusted average of the hospital-specific 
relative charge values for applicable LTCH cases for the MS-LTC-DRG 
(that is, the sum of the hospital-specific relative charge value, as 
previously stated, divided by the sum of equivalent cases from Step 5 
for each MS-LTC-DRG) by the overall SSO-adjusted average hospital-
specific relative charge value across all applicable LTCH cases for all 
LTCHs (that is, the sum of the hospital-specific relative charge value, 
as previously stated, divided by the sum of equivalent applicable LTCH 
cases from Step 5 for each MS-LTC-DRG). Using these recalculated MS-
LTC-DRG relative weights, each LTCH's average relative weight for all 
of its SSO-adjusted trimmed applicable LTCH cases (that is, it's case-
mix) was calculated by dividing the sum of all the LTCH's MS-LTC-DRG 
relative weights by its total number of SSO-adjusted trimmed applicable 
LTCH cases. The LTCHs' hospital-specific relative charge values (from 
previous) are then multiplied by the hospital-specific case-mix 
indexes. The hospital-specific case-mix adjusted relative charge values 
are then used to calculate a new set of MS-LTC-DRG relative weights 
across all LTCHs. This iterative process continued until there was 
convergence between the relative weights produced at adjacent steps, 
for example, when the maximum difference was less than 0.0001.
    Step 7--Adjust the relative weights to account for nonmonotonically 
increasing relative weights.
    The MS-DRGs contain base DRGs that have been subdivided into one, 
two, or three severity of illness levels. Where there are three 
severity levels, the most severe level has at least one secondary 
diagnosis code that is referred to as an MCC (that is, major 
complication or comorbidity). The next lower severity level contains 
cases with at least one secondary diagnosis code that is a CC (that is, 
complication or comorbidity). Those cases without an MCC or a CC are 
referred to as ``without CC/MCC.'' When data do not support the 
creation of three severity levels, the base MS-DRG is subdivided into 
either two levels or the base MS-DRG is not subdivided. The two-level 
subdivisions may consist of the MS-DRG with CC/MCC and the MS-DRG 
without CC/MCC. Alternatively, the other type of two-level subdivision 
may consist of the MS-DRG with MCC and the MS-DRG without MCC.
    In those base MS-LTC-DRGs that are split into either two or three 
severity levels, cases classified into the ``without CC/MCC'' MS-LTC-
DRG are expected to have a lower resource use (and lower costs) than 
the ``with CC/MCC'' MS-LTC-DRG (in the case of a two-level split) or 
both the ``with CC'' and the ``with MCC'' MS-LTC-DRGs (in the case of a 
three-level split). That is, theoretically, cases that are more severe 
typically require greater expenditure of medical care resources and 
would result in higher average charges. Therefore, in the three 
severity levels, relative weights should increase by severity, from 
lowest to highest. If the relative weights decrease as severity 
increases (that is, if within a base MS-LTC-DRG, an MS-LTC-DRG with CC 
has a higher relative weight than one with MCC, or the MS-LTC-DRG 
``without CC/MCC'' has a higher relative weight than either of the 
others), they are nonmonotonic. We continue to believe that utilizing 
nonmonotonic relative weights to adjust Medicare payments would result 
in inappropriate payments because the

[[Page 18318]]

payment for the cases in the higher severity level in a base MS-LTC-DRG 
(which are generally expected to have higher resource use and costs) 
would be lower than the payment for cases in a lower severity level 
within the same base MS-LTC-DRG (which are generally expected to have 
lower resource use and costs). Therefore, in determining the proposed 
FY 2026 MS-LTC-DRG relative weights, consistent with our historical 
methodology, we are proposing to continue to combine MS-LTC-DRG 
severity levels within a base MS-LTC-DRG for the purpose of computing a 
relative weight when necessary to ensure that monotonicity is 
maintained. For a comprehensive description of our existing methodology 
to adjust for nonmonotonicity, we refer readers to the FY 2010 IPPS/RY 
2010 LTCH PPS final rule (74 FR 43964 through 43966). Any adjustments 
for nonmonotonicity that were made in determining the proposed FY 2026 
MS-LTC-DRG relative weights by applying this methodology are denoted in 
Table 11, which is listed in section VI. of the Addendum to this 
proposed rule and is available via the internet on the CMS website.
    Step 8--Determine a relative weight for MS-LTC-DRGs with no 
applicable LTCH cases.
    Using the trimmed applicable LTCH cases, consistent with our 
historical methodology, we identified the MS-LTC-DRGs for which there 
were no claims in the December 2024 update of the FY 2024 MedPAR file 
and, therefore, for which no charge data was available for these MS-
LTC-DRGs. Because patients with a number of the diagnoses under these 
MS-LTC-DRGs may be treated at LTCHs, consistent with our historical 
methodology, we generally assign a relative weight to each of the no-
volume MS-LTC-DRGs based on clinical similarity and relative costliness 
(with the exception of ``transplant'' MS-LTC-DRGs, ``error'' MS-LTC-
DRGs, and MS-LTC-DRGs that indicate a principal diagnosis related to a 
psychiatric diagnosis or rehabilitation (referred to as the 
``psychiatric or rehabilitation'' MS-LTC-DRGs), as discussed later in 
this section of the preamble of this proposed rule). (For additional 
information on this step of the relative weight methodology, we refer 
readers to 67 FR 55991 and 74 FR 43959 through 43960.)
    Consistent with our existing methodology, we are proposing to 
cross-walk each no-volume proposed MS-LTC-DRG to another proposed MS-
LTC-DRG for which we calculated a relative weight (determined in 
accordance with the methodology as previously described). Then, the 
``no-volume'' proposed MS-LTC-DRG is assigned the same relative weight 
(and average length of stay) of the proposed MS-LTC-DRG to which it was 
cross-walked (as described in greater detail in this section of the 
preamble of this proposed rule).
    Of the 774 proposed MS-LTC-DRGs for FY 2026, we identified 419 MS-
LTC-DRGs for which there were no trimmed applicable LTCH cases. The 419 
MS-LTC-DRGs for which there were no trimmed applicable LTCH cases 
includes the 11 ``transplant'' MS-LTC-DRGs, the 2 ``error'' MS-LTC-
DRGs, and the 15 ``psychiatric or rehabilitation'' MS-LTC-DRGs, which 
are discussed in this section of this proposed rule, such that we 
identified 391 MS-LTC-DRGs that for which, we are proposing to assign a 
relative weight using our existing ``no-volume'' MS-LTC-DRG methodology 
(that is, 419-11-2-15 = 391). We are proposing to assign relative 
weights to each of the 391 no-volume MS-LTC-DRGs based on clinical 
similarity and relative costliness to 1 of the remaining 355 (774-419 = 
355) MS-LTC-DRGs for which we calculated relative weights based on the 
trimmed applicable LTCH cases in the FY 2024 MedPAR file data using the 
steps described previously. (For the remainder of this discussion, we 
refer to the ``cross-walked'' MS-LTC-DRGs as one of the 355 MS-LTC-DRGs 
to which we cross-walked each of the 391 ``no-volume'' MS-LTC-DRGs.) 
Then, in general, we are proposing to assign the 391 no-volume MS-LTC-
DRGs the relative weight of the cross-walked MS-LTC-DRG (when 
necessary, we made adjustments to account for nonmonotonicity).
    We cross-walked the no-volume MS-LTC-DRG to a MS-LTC-DRG for which 
we calculated relative weights based on the December 2024 update of the 
FY 2024 MedPAR file, and to which it is similar clinically in intensity 
of use of resources and relative costliness as determined by criteria 
such as care provided during the period of time surrounding surgery, 
surgical approach (if applicable), length of time of surgical 
procedure, postoperative care, and length of stay. (For more details on 
our process for evaluating relative costliness, we refer readers to the 
FY 2010 IPPS/RY 2010 LTCH PPS final rule (73 FR 48543).) We believe in 
the rare event that there would be a few LTCH cases grouped to one of 
the no-volume MS-LTC-DRGs in FY 2026, the relative weights assigned 
based on the cross-walked MS-LTC-DRGs would result in an appropriate 
LTCH PPS payment because the crosswalks, which are based on clinical 
similarity and relative costliness, would be expected to generally 
require equivalent relative resource use.
    Then we assigned the proposed relative weight of the cross-walked 
MS-LTC-DRG as the relative weight for the no-volume MS-LTC-DRG such 
that both of these MS-LTC-DRGs (that is, the no-volume MS-LTC-DRG and 
the cross-walked MS-LTC-DRG) have the same relative weight (and average 
length of stay) for FY 2026. We note that, if the cross-walked MS-LTC-
DRG had 25 applicable LTCH cases or more, its relative weight 
(calculated using the methodology as previously described in Steps 1 
through 4) is assigned to the no-volume MS-LTC-DRG as well. Similarly, 
if the MS-LTC-DRG to which the no-volume MS-LTC-DRG was cross-walked 
had 24 or less cases and, therefore, was designated to 1 of the low-
volume quintiles for purposes of determining the relative weights, we 
assigned the relative weight of the applicable low-volume quintile to 
the no-volume MS-LTC-DRG such that both of these MS-LTC-DRGs (that is, 
the no-volume MS-LTC-DRG and the cross-walked MS-LTC-DRG) have the same 
relative weight for FY 2026. (As we noted previously, in the infrequent 
case where nonmonotonicity involving a no-volume MS-LTC-DRG resulted, 
additional adjustments are required to maintain monotonically 
increasing relative weights.)
    For this proposed rule, we are providing the list of the no-volume 
MS-LTC-DRGs and the MS-LTC-DRGs to which each was cross-walked (that 
is, the cross-walked MS-LTC-DRGs) for FY 2026 in a supplemental data 
file for public use posted via the internet on the CMS website for this 
proposed rule at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html to streamline the information made 
available to the public that is used in the annual development of Table 
11.
    To illustrate this methodology for determining the proposed 
relative weights for the FY 2026 MS-LTC-DRGs with no applicable LTCH 
cases, we are providing the following example.
    Example: There were no trimmed applicable LTCH cases in the FY 2024 
MedPAR file that we are using for this proposed rule for proposed MS-
LTC-DRG 061 (Ischemic stroke, precerebral occlusion or transient 
ischemia with thrombolytic agent with MCC). We determined that proposed 
MS-LTC-DRG 064 (Intracranial hemorrhage or cerebral infarction with 
MCC) is similar clinically and based on resource use to proposed MS-
LTC-DRG 061. Therefore, we are proposing to assign the same

[[Page 18319]]

relative weight (and average length of stay) of proposed MS-LTC-DRG 064 
of 1.1689 for FY 2026 to proposed MS-LTC-DRG 061 (we refer readers to 
Table 11, which is listed in section VI. of the Addendum to this 
proposed rule and is available via the internet on the CMS website).
    Again, we note that, as this system is dynamic, it is entirely 
possible that the number of MS-LTC-DRGs with no volume would vary in 
the future. Consistent with our historical practice, we are proposing 
to use the best available claims data to identify the trimmed 
applicable LTCH cases from which we determined the relative weights in 
the final rule.
    For FY 2026, consistent with our historical relative weight 
methodology, we are proposing to establish a relative weight of 0.0000 
for the following transplant MS-LTC-DRGs: Heart Transplant or Implant 
of Heart Assist System with MCC (MS-LTC-DRG 001); Heart Transplant or 
Implant of Heart Assist System without MCC (MS-LTC-DRG 002); Liver 
Transplant with MCC or Intestinal Transplant (MS-LTC-DRG 005); Liver 
Transplant without MCC (MS-LTC-DRG 006); Lung Transplant (MS-LTC-DRG 
007); Simultaneous Pancreas and Kidney Transplant (MS-LTC-DRG 008); 
Simultaneous Pancreas and Kidney Transplant with Hemodialysis (MS-LTC-
DRG 019); Pancreas Transplant (MS-LTC-DRG 010); Kidney Transplant (MS-
LTC-DRG 652); Kidney Transplant with Hemodialysis with MCC (MS-LTC-DRG 
650), and Kidney Transplant with Hemodialysis without MCC (MS LTC DRG 
651). This is because Medicare only covers these procedures if they are 
performed at a hospital that has been certified for the specific 
procedures by Medicare and presently no LTCH has been so certified. At 
the present time, we include these 11 transplant MS-LTC-DRGs in the 
GROUPER program for administrative purposes only. Because we use the 
same GROUPER program for LTCHs as is used under the IPPS, removing 
these MS-LTC-DRGs would be administratively burdensome. (For additional 
information regarding our treatment of transplant MS-LTC-DRGs, we refer 
readers to the RY 2010 LTCH PPS final rule (74 FR 43964).) In addition, 
consistent with our historical policy, we are proposing to establish a 
relative weight of 0.0000 for the 2 ``error'' MS-LTC-DRGs (that is, MS-
LTC-DRG 998 (Principal Diagnosis Invalid as Discharge Diagnosis) and 
MS-LTC-DRG 999 (Ungroupable)) because applicable LTCH cases grouped to 
these MS-LTC-DRGs cannot be properly assigned to an MS-LTC-DRG 
according to the grouping logic.
    Additionally, we are proposing to establish a relative weight of 
0.0000 for the following ``psychiatric or rehabilitation'' MS-LTC-DRGs: 
MS-LTC-DRG 876 (O.R. Procedures with Principal Diagnosis of Mental 
Illness); MS-LTC-DRG 880 (Acute Adjustment Reaction & Psychosocial 
Dysfunction); MS-LTC-DRG 881 (Depressive Neuroses); MS-LTC-DRG 882 
(Neuroses Except Depressive); MS-LTC-DRG 883 (Disorders of Personality 
& Impulse Control); MS-LTC-DRG 884 (Organic Disturbances & Intellectual 
Disability); MS-LTC-DRG 885 (Psychoses); MS-LTC-DRG 886 (Behavioral & 
Developmental Disorders); MS-LTC-DRG 887 (Other Mental Disorder 
Diagnoses); MS-LTC-DRG 894 (Alcohol, Drug Abuse or Dependence, Left 
AMA); MS-LTC-DRG 895 (Alcohol, Drug Abuse or Dependence with 
Rehabilitation Therapy); MS-LTC-DRG 896 (Alcohol, Drug Abuse or 
Dependence without Rehabilitation Therapy with MCC); MS-LTC-DRG 897 
(Alcohol, Drug Abuse or Dependence without Rehabilitation Therapy 
without MCC); MS-LTC-DRG 945 (Rehabilitation with CC/MCC); and MS-LTC-
DRG 946 (Rehabilitation without CC/MCC). We are proposing to establish 
a relative weight of 0.0000 for these 15 ``psychiatric or 
rehabilitation'' MS-LTC-DRGs because the blended payment rate and 
temporary exceptions to the site neutral payment rate would not be 
applicable for any LTCH discharges occurring in FY 2026, and as such 
payment under the LTCH PPS would be no longer be made in part based on 
the LTCH PPS standard Federal payment rate for any discharges assigned 
to those MS-LTC-DRGs.
    Step 9--Budget neutralize the uncapped relative weights.
    In accordance with the regulations at Sec.  412.517(b) (in 
conjunction with Sec.  412.503), the annual update to the MS-LTC-DRG 
classifications and relative weights is done in a budget neutral manner 
such that estimated aggregate LTCH PPS payments would be unaffected, 
that is, would be neither greater than nor less than the estimated 
aggregate LTCH PPS payments that would have been made without the MS-
LTC-DRG classification and relative weight changes. (For a detailed 
discussion on the establishment of the budget neutrality requirement 
for the annual update of the MS-LTC-DRG classifications and relative 
weights, we refer readers to the RY 2008 LTCH PPS final rule (72 FR 
26881 and 26882)).
    To achieve budget neutrality under the requirement at Sec.  
412.517(b), under our established methodology, for each annual update 
the MS-LTC-DRG relative weights are uniformly adjusted to ensure that 
estimated aggregate payments under the LTCH PPS would not be affected 
(that is, decreased or increased). Consistent with that provision, we 
are proposing to continue to apply budget neutrality adjustments in 
determining the proposed FY 2026 MS-LTC-DRG relative weights so that 
our proposed update of the MS-LTC-DRG classifications and relative 
weights for FY 2026 are made in a budget neutral manner. For FY 2026, 
we are proposing to apply two budget neutrality factors to determine 
the MS-LTC-DRG relative weights. In this step, we describe the 
determination of the budget neutrality adjustment that accounts for the 
proposed update of the MS-LTC-DRG classifications and relative weights 
prior to the application of the ten-percent cap. In steps 10 and 11, we 
describe the application of the 10-percent cap policy (step 10) and the 
determination of the proposed budget neutrality factor that accounts 
for the application of the 10-percent cap policy (step 11).
    In this proposed rule, to ensure budget neutrality for the proposed 
update to the MS-LTC-DRG classifications and relative weights prior to 
the application of the 10-percent cap (that is, uncapped relative 
weights), under Sec.  412.517(b), we are proposing to continue to use 
our established two-step budget neutrality methodology. Therefore, in 
the first step of our MS-LTC-DRG update budget neutrality methodology, 
for FY 2026, we calculated and applied a proposed normalization factor 
to the recalibrated relative weights (the result of Steps 1 through 8 
discussed previously) to ensure that estimated payments are not 
affected by changes in the composition of case types or the changes to 
the classification system. That is, the normalization adjustment is 
intended to ensure that the recalibration of the MS-LTC-DRG relative 
weights (that is, the process itself) neither increases nor decreases 
the average case-mix index.
    To calculate the proposed normalization factor for FY 2026, we 
propose to use the following three steps: (1.a.) use the applicable 
LTCH cases from the best available data (that is, LTCH discharges from 
the FY 2024 MedPAR file) and group them using the proposed FY 2026 
GROUPER (that is, Version 43 for FY 2026) and the proposed recalibrated 
FY 2026 MS-LTC-DRG uncapped relative weights (determined in Steps 1 
through 8 discussed previously) to calculate the average case-mix 
index; (1.b.) group the

[[Page 18320]]

same applicable LTCH cases (as are used in Step 1.a.) using the FY 2025 
GROUPER (Version 42) and FY 2025 MS-LTC-DRG relative weights in Table 
11 of the FY 2025 IPPS/LTCH PPS final rule and calculate the average 
case-mix index; and (1.c.) compute the ratio of these average case-mix 
indexes by dividing the average case-mix index for FY 2025 (determined 
in Step 1.b.) by the average case-mix index for FY 2026 (determined in 
Step 1.a.). As a result, in determining the proposed MS-LTC-DRG 
relative weights for FY 2026, each recalibrated MS-LTC-DRG uncapped 
relative weight is multiplied by the proposed normalization factor of 
1.24603 (determined in Step 1.c.) in the first step of the budget 
neutrality methodology, which produces ``normalized relative weights.''
    In the second step of our MS-LTC-DRG update budget neutrality 
methodology, we calculated a proposed budget neutrality adjustment 
factor consisting of the ratio of estimated aggregate FY 2026 LTCH PPS 
standard Federal payment rate payments for applicable LTCH cases before 
reclassification and recalibration to estimated aggregate payments for 
FY 2026 LTCH PPS standard Federal payment rate payments for applicable 
LTCH cases after reclassification and recalibration. That is, for this 
proposed rule, for FY 2026, we propose to determine the budget 
neutrality adjustment factor using the following three steps: (2.a.) 
simulate estimated total FY 2026 LTCH PPS standard Federal payment rate 
payments for applicable LTCH cases using the uncapped normalized 
relative weights for FY 2026 and proposed GROUPER Version 43; (2.b.) 
simulate estimated total FY 2026 LTCH PPS standard Federal payment rate 
payments for applicable LTCH cases using the FY 2025 GROUPER (Version 
42) and the FY 2025 MS-LTC-DRG relative weights in Table 11 of the FY 
2025 IPPS/LTCH PPS final rule; and (2.c.) calculate the ratio of these 
estimated total payments by dividing the value determined in Step 2.b. 
by the value determined in Step 2.a. In determining the proposed FY 
2026 MS-LTC-DRG relative weights, each uncapped normalized relative 
weight is then multiplied by a proposed budget neutrality factor of 
1.0112216 (the value determined in Step 2.c.) in the second step of the 
budget neutrality methodology.
    Step 10--Apply the 10-percent cap to decreases in MS-LTC-DRG 
relative weights.
    To mitigate the financial impacts of significant year-to-year 
reductions in MS-LTC-DRGs relative weights, beginning in FY 2023, we 
adopted a policy that applies a budget neutral 10-percent cap on annual 
relative weight decreases for MS-LTC-DRGs with at least 25 applicable 
LTCH cases (Sec.  412.515(b)). Under this policy, in cases where CMS 
creates new MS-LTC-DRGs or modifies the MS-LTC-DRGs as part of its 
annual reclassifications resulting in renumbering of one or more MS-
LTC-DRGs, the 10-percent cap does not apply to the relative weight for 
any new or renumbered MS-LTC-DRGs for the fiscal year. We refer readers 
to section VIII.B.3.b. of the preamble of the FY 2023 IPPS/LTCH PPS 
final rule with comment period for a detailed discussion on the 
adoption of the 10-percent cap policy (87 FR 49152 through 49154).
    Applying the 10-percent cap to MS-LTC-DRGs with 25 or more cases 
results in more predictable and stable MS-LTC-DRG relative weights from 
year to year, especially for high-volume MS-LTC-DRGs that generally 
have the largest financial impact on an LTCH's operations. For this 
proposed rule, in cases where the relative weight for a MS-LTC-DRG with 
25 or more applicable LTCH cases would decrease by more than 10-percent 
in FY 2026 relative to FY 2025, we are proposing to limit the reduction 
to 10-percent. Under this policy, we do not apply the 10 percent cap to 
the proposed low-volume MS-LTC-DRGs identified in Step 3 or the 
proposed no-volume MS-LTC-DRGs identified in Step 8.
    Therefore, in this step, for each proposed FY 2026 MS-LTC-DRG with 
25 or more applicable LTCH cases (excludes low-volume and zero-volume 
MS-LTC-DRGs) we compared its FY 2026 relative weight (after application 
of the proposed normalization and proposed budget neutrality factors 
determined in Step 9), to its FY 2025 MS-LTC-DRG relative weight. For 
any MS-LTC-DRG where the FY 2026 relative weight would otherwise have 
declined more than 10 percent, we established a proposed capped FY 2026 
MS-LTC-DRG relative weight that is equal to 90 percent of that MS-LTC-
DRG's FY 2025 relative weight (that is, we set the proposed FY 2026 
relative weight equal to the FY 2025 weight x 0.90).
    In section II.E. of the preamble of this proposed rule, we discuss 
our proposed changes to the MS-DRGs, and by extension the MS-LTC-DRGs, 
for FY 2026. As discussed previously, under our current policy, the 10-
percent cap does not apply to the relative weight for any new or 
renumbered MS-LTC-DRGs. We are not proposing any changes to this policy 
for FY 2026, and as such any proposed new or renumbered MS-LTC-DRGs for 
FY 2026 would not be eligible for the 10-percent cap.
    Step 11--Budget neutralize application of the 10-percent cap 
policy.
    Under the requirement at existing Sec.  412.517(b) that aggregate 
LTCH PPS payments will be unaffected by annual changes to the MS-LTC-
DRG classifications and relative weights, consistent with our 
established methodology, we are proposing to continue to apply a budget 
neutrality adjustment to the MS-LTC-DRG relative weights so that the 
10-percent cap on relative weight reductions (step 10) is implemented 
in a budget neutral manner. Therefore, we are proposing to determine 
the proposed budget neutrality adjustment factor for the 10-percent cap 
on relative weight reductions using the following three steps: (a) 
simulate estimated total FY 2026 LTCH PPS standard Federal payment rate 
payments for applicable LTCH cases using the proposed capped relative 
weights for FY 2026 (determined in Step 10) and proposed GROUPER 
Version 43; (b) simulate estimated total FY 2026 LTCH PPS standard 
Federal payment rate payments for applicable LTCH cases using the 
proposed uncapped relative weights for FY 2026 (determined in Step 9) 
and proposed GROUPER Version 43; and (c) calculate the ratio of these 
estimated total payments by dividing the value determined in step (b) 
by the value determined in step (a). In determining the proposed FY 
2026 MS-LTC-DRG relative weights, each capped relative weight is then 
multiplied by a proposed budget neutrality factor of 0.9984259 (the 
value determined in step (c)) to achieve the budget neutrality 
requirement.
    Table 11, which is listed in section VI. of the Addendum to this 
proposed rule and is available via the internet on the CMS website, 
lists the proposed MS-LTC-DRGs and their respective proposed relative 
weights, proposed geometric mean length of stay, and proposed five-
sixths of the geometric mean length of stay (used to identify SSO cases 
under Sec.  412.529(a)) for FY 2026. We also are making available on 
the website the proposed MS-LTC-DRG relative weights prior to the 
application of the 10 percent cap on MS-LTC-DRG relative weight 
reductions and corresponding proposed cap budget neutrality factor.

[[Page 18321]]

C. Proposed Changes to the LTCH PPS Payment Rates and Other Proposed 
Changes to the LTCH PPS for FY 2026

1. Overview of Development of the Proposed LTCH PPS Standard Federal 
Payment Rates
    The basic methodology for determining LTCH PPS standard Federal 
payment rates is currently set forth at 42 CFR 412.515 through 412.533 
and 412.535. In this section, we discuss the factors that we are 
proposing to use to update the LTCH PPS standard Federal payment rate 
for FY 2026, that is, effective for LTCH discharges occurring on or 
after October 1, 2025, through September 30, 2026. Under the dual rate 
LTCH PPS payment structure required by statute, beginning with 
discharges in cost reporting periods beginning in FY 2016, only LTCH 
discharges that meet the criteria for exclusion from the site neutral 
payment rate are paid based on the LTCH PPS standard Federal payment 
rate specified at 42 CFR 412.523. (For additional details on our 
finalized policies related to the dual rate LTCH PPS payment structure 
required by statute, we refer readers to the FY 2016 IPPS/LTCH PPS 
final rule (80 FR 49601 through 49623).)
    Prior to the implementation of the dual payment rate system in FY 
2016, all LTCH discharges were paid similarly to those now exempt from 
the site neutral payment rate. That legacy payment rate was called the 
standard Federal rate. For details on the development of the initial 
standard Federal rate for FY 2003, we refer readers to the August 30, 
2002, LTCH PPS final rule (67 FR 56027 through 56037). For subsequent 
updates to the standard Federal rate from FYs 2003 through 2015, and 
LTCH PPS standard Federal payment rate from FY 2016 through present, as 
implemented under 42 CFR 412.523(c)(3), we refer readers to the FY 2020 
IPPS/LTCH PPS final rule (84 FR 42445 through 42446).
    In this FY 2026 IPPS/LTCH PPS proposed rule, we present our 
proposed policies related to the annual update to the LTCH PPS standard 
Federal payment rate for FY 2026.
    The proposed update to the LTCH PPS standard Federal payment rate 
for FY 2026 is presented in section V.A. of the Addendum to this 
proposed rule. The components of the proposed annual update to the LTCH 
PPS standard Federal payment rate for FY 2026 are discussed in this 
section, including the statutory reduction to the annual update for 
LTCHs that fail to submit quality reporting data for FY 2026 as 
required by the statute (as discussed in section IX.C.2.c. of the 
preamble of this proposed rule). We are proposing to make an adjustment 
to the LTCH PPS standard Federal payment rate to account for the 
estimated effect of the changes to the area wage level for FY 2026 on 
estimated aggregate LTCH PPS payments, in accordance with 42 CFR 
412.523(d)(4) (as discussed in section V.B. of the Addendum to this 
proposed rule).
2. Proposed FY 2026 LTCH PPS Standard Federal Payment Rate Annual 
Market Basket Update
a. Overview
    Historically, the Medicare program has used a market basket to 
account for input price increases in the services furnished by 
providers. The market basket used for the LTCH PPS includes both 
operating and capital-related costs of LTCHs because the LTCH PPS uses 
a single payment rate for both operating and capital-related costs. We 
adopted the 2022-based LTCH market basket for use under the LTCH PPS 
beginning in FY 2025. For additional details on the historical 
development of the market basket used under the LTCH PPS, we refer 
readers to the FY 2013 IPPS/LTCH PPS final rule (77 FR 53467 through 
53476), and for a complete discussion of the LTCH market basket and a 
description of the methodologies used to determine the operating and 
capital-related portions of the 2022-based LTCH market basket, we refer 
readers to the FY 2025 IPPS/LTCH PPS final rule (89 FR 69435 through 
69455).
    Section 3401(c) of the Affordable Care Act provides for certain 
adjustments to any annual update to the LTCH PPS standard Federal 
payment rate and refers to the timeframes associated with such 
adjustments as a ``rate year.'' We note that, because the annual update 
to the LTCH PPS policies, rates, and factors now occurs on October 1, 
we adopted the term ``fiscal year'' (FY) rather than ``rate year'' (RY) 
under the LTCH PPS beginning October 1, 2010, to conform with the 
standard definition of the Federal fiscal year (October 1 through 
September 30) used by other PPSs, such as the IPPS (75 FR 50396 through 
50397). Although the language of sections 3004(a), 3401(c), 10319, and 
1105(b) of the Affordable Care Act refers to years 2010 and thereafter 
under the LTCH PPS as ``rate year,'' consistent with our change in the 
terminology used under the LTCH PPS from ``rate year'' to ``fiscal 
year,'' for purposes of clarity, when discussing the annual update for 
the LTCH PPS standard Federal payment rate, including the provisions of 
the Affordable Care Act, we use ``fiscal year'' rather than ``rate 
year'' for 2011 and subsequent years.
b. Proposed Annual Update to the LTCH PPS Standard Federal Payment Rate 
for FY 2026
    As previously noted, we adopted the 2022-based LTCH market basket 
for use under the LTCH PPS beginning in FY 2025. The 2022-based LTCH 
market basket is primarily based on the Medicare cost report data 
submitted by LTCHs and, therefore, specifically reflects the cost 
structures of LTCHs. For additional details on the development of the 
2022-based LTCH market basket, we refer readers to the FY 2025 IPPS/
LTCH final rule (89 FR 69435 through 69455). We continue to believe 
that the 2022-based LTCH market basket appropriately reflects the cost 
structure of LTCHs for the reasons discussed when we adopted its use in 
the FY 2025 IPPS/LTCH PPS final rule. Therefore, in this proposed rule, 
we are proposing to use the 2022-based LTCH market basket to update the 
LTCH PPS standard Federal payment rate for FY 2026.
    Section 1886(m)(3)(A) of the Act provides that, beginning in FY 
2010, any annual update to the LTCH PPS standard Federal payment rate 
is reduced by the adjustments specified in clauses (i) and (ii) of 
subparagraph (A), as applicable. Clause (i) of section 1886(m)(3)(A) of 
the Act provides for a reduction, for FY 2012 and each subsequent rate 
year, by ``the productivity adjustment'' described in section 
1886(b)(3)(B)(xi)(II) of the Act. Section 1886(b)(3)(B)(xi)(II) of the 
Act, as added by section 3401(a) of the Affordable Care Act, defines 
this productivity adjustment as equal to the 10-year moving average of 
changes in annual economy-wide, private nonfarm business multifactor 
productivity (as projected by the Secretary for the 10-year period 
ending with the applicable fiscal year, year, cost reporting period, or 
other annual period). The U.S. Department of Labor's Bureau of Labor 
Statistics (BLS) publishes the official measures of private nonfarm 
business productivity for the U.S. economy. We note that previously the 
productivity measure referenced in section 1886(b)(3)(B)(xi)(II) was 
published by BLS as private nonfarm business multifactor productivity. 
Beginning with the November 18, 2021, release of productivity data, BLS 
replaced the term multifactor productivity with total factor 
productivity (TFP). BLS noted that this is a change in terminology only 
and will not affect the data or methodology. As a result of the BLS 
name change, the productivity measure

[[Page 18322]]

referenced in section 1886(b)(3)(B)(xi)(II) is now published by BLS as 
private nonfarm business total factor productivity. However, as 
mentioned, the data and methods are unchanged. Please see www.bls.gov 
for the BLS historical published TFP data. A complete description of 
IGI's TFP projection methodology is available on the CMS website at 
https://www.cms.gov/data-research/statistics-trends-and-reports/medicare-program-rates-statistics/market-basket-research-and-information. Section 1886(m)(3)(A)(ii) of the Act provided for a 
reduction, for each of FYs 2010 through 2019, by the ``other 
adjustment'' described in section 1886(m)(4)(F) of the Act.
    Section 1886(m)(3)(B) of the Act provides that the application of 
paragraph (3) may result in the annual update being less than zero for 
a rate year, and may result in payment rates for a rate year being less 
than such payment rates for the preceding rate year.
c. Proposed Adjustment to the LTCH PPS Standard Federal Payment Rate 
Under the Long-Term Care Hospital Quality Reporting Program (LTCH QRP)
    In accordance with section 1886(m)(5) of the Act, the Secretary 
established the Long-Term Care Hospital Quality Reporting Program (LTCH 
QRP). The reduction in the annual update to the LTCH PPS standard 
Federal payment rate for failure to report quality data under the LTCH 
QRP for FY 2014 and subsequent fiscal years is codified under 42 CFR 
412.523(c)(4). The LTCH QRP, as required for FY 2014 and subsequent 
fiscal years by section 1886(m)(5)(A)(i) of the Act, requires that a 
2.0 percentage points reduction be applied to any update under 42 CFR 
412.523(c)(3) for an LTCH that does not submit quality reporting data 
to the Secretary in accordance with section 1886(m)(5)(C) of the Act 
with respect to such a year (that is, in the form and manner and at the 
time specified by the Secretary under the LTCH QRP under 42 CFR 
412.523(c)(4)(i)). Section 1886(m)(5)(A)(ii) of the Act provides that 
the application of the 2.0 percentage points reduction may result in an 
annual update that is less than 0.0 for a year, and may result in LTCH 
PPS payment rates for a year being less than such LTCH PPS payment 
rates for the preceding year. Furthermore, section 1886(m)(5)(B) of the 
Act specifies that the 2.0 percentage points reduction is applied in a 
noncumulative manner, such that any reduction made under section 
1886(m)(5)(A) of the Act shall apply only with respect to the year 
involved and shall not be taken into account in computing the LTCH PPS 
payment amount for a subsequent year. These requirements are codified 
in the regulations at 42 CFR 412.523(c)(4). (For additional information 
on the history of the LTCH QRP, including the statutory authority and 
the selected measures, we refer readers to section X.E. of the preamble 
of this proposed rule.)
d. Proposed Annual Market Basket Update Under the LTCH PPS for FY 2026
    Consistent with our historical practice, we estimate the market 
basket percentage increase and the productivity adjustment based on IHS 
Global Inc.'s (IGI's) forecast using the most recent available data. 
Based on IGI's fourth quarter 2024 forecast, the proposed FY 2026 
market basket percentage increase for the LTCH PPS using the 2022-based 
LTCH market basket is 3.4 percent. The proposed productivity adjustment 
for FY 2026 based on IGI's fourth quarter 2024 forecast is 0.8 
percentage point.
    For FY 2026, section 1886(m)(3)(A)(i) of the Act requires that any 
annual update to the LTCH PPS standard Federal payment rate be reduced 
by the productivity adjustment, described in section 
1886(b)(3)(B)(xi)(II) of the Act. Consistent with the statute, we are 
proposing to reduce the FY 2026 market basket percentage increase by 
the FY 2026 productivity adjustment. To determine the proposed market 
basket update for LTCHs for FY 2026 we subtracted the proposed FY 2026 
productivity adjustment from the proposed FY 2026 market basket 
percentage increase. (For additional details on our established 
methodology for adjusting the market basket percentage increase by the 
productivity adjustment, we refer readers to the FY 2012 IPPS/LTCH PPS 
final rule (76 FR 51771).) In addition, for FY 2026, section 1886(m)(5) 
of the Act requires that, for LTCHs that do not submit quality 
reporting data as required under the LTCH QRP, any annual update to an 
LTCH PPS standard Federal payment rate, after application of the 
adjustments required by section 1886(m)(3) of the Act, shall be further 
reduced by 2.0 percentage points.
    In this FY 2026 IPPS/LTCH PPS proposed rule, in accordance with the 
statute, we are proposing to reduce the proposed FY 2026 market basket 
percentage increase of 3.4 percent (based on IGI's fourth quarter 2024 
forecast of the 2022-based LTCH market basket) by the proposed FY 2026 
productivity adjustment of 0.8 percentage point (based on IGI's fourth 
quarter 2024 forecast). Therefore, under the authority of section 123 
of the BBRA as amended by section 307(b) of the BIPA, consistent with 
42 CFR 412.523(c)(3)(xvii), we are proposing to establish an annual 
market basket update to the LTCH PPS standard Federal payment rate for 
FY 2026 of 2.6 percent (that is, the proposed LTCH PPS market basket 
percentage increase of 3.4 percent less the proposed productivity 
adjustment of 0.8 percentage point). For LTCHs that fail to submit 
quality reporting data under the LTCH QRP, under 42 CFR 
412.523(c)(3)(xvii) in conjunction with 42 CFR 412.523(c)(4), we are 
proposing to further reduce the annual update to the LTCH PPS standard 
Federal payment rate by 2.0 percentage points, in accordance with 
section 1886(m)(5) of the Act. Accordingly, we are proposing to 
establish an annual update to the LTCH PPS standard Federal payment 
rate of 0.6 percent (that is, the proposed 2.6 percent LTCH market 
basket update minus 2.0 percentage points) for FY 2026 for LTCHs that 
fail to submit quality reporting data as required under the LTCH QRP. 
Consistent with our historical practice, we also are proposing that if 
more recent data subsequently become available (for example, a more 
recent estimate of the market basket percentage increase and 
productivity adjustment), we would use such data, if appropriate, to 
determine the FY 2026 market basket percentage increase and 
productivity adjustment in the final rule. We note that, consistent 
with historical practice, we are also proposing to adjust the FY 2026 
LTCH PPS standard Federal payment rate by an area wage level budget 
neutrality factor in accordance with 42 CFR 412.523(d)(4) (as discussed 
in section V.B.6. of the Addendum to this proposed rule).

X. Proposed Quality Data Reporting Requirements for Specific Providers

A. Overview

    In section X. of the preamble of this proposed rule, we are seeking 
comment on and proposing changes to the following Medicare quality 
reporting programs:
     In section X.B. of the preamble of this proposed rule, we 
are including the Toward Digital Quality Measurement in CMS Quality 
Programs--Request for Information.
     In section X.C. of the preamble of this proposed rule, the 
Hospital IQR Program.
     In section X.D. of the preamble of this proposed rule, the 
PCHQR Program.

[[Page 18323]]

     In section X.E. of the preamble of this proposed rule, the 
LTCH QRP.
     In section X.F. of the preamble of this proposed rule, the 
Medicare Promoting Interoperability Program for Eligible Hospitals and 
Critical Access Hospitals (CAHs) (previously known as the Medicare EHR 
Incentive Program).

B. Toward Digital Quality Measurement in CMS Quality Programs--Request 
for Information

    We have previously issued requests for information (RFIs) to gather 
public input on the transition to digital quality measurement (dQM) for 
CMS programs.\267\ This RFI provides updates on our progress and seeks 
input as we continue our path forward in the dQM transition.
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    \267\ We refer readers to the following rules which contain the 
previous RFIs: FY 2022 IPPS/LTCH PPS final rule (86 FR 45342 through 
86 FR 45349); FY 2023 IPPS/LTCH PPS final rule (87 FR 49181 through 
87 FR 49188); CY 2022 Physician Fee Schedule (PFS) final rule (86 FR 
65377 through 86 FR 65382); CY 2023 PFS proposed rule (87 FR 46259 
through 87 FR 46262); CY 2022 Outpatient Prospective Payment System 
(OPPS)/Ambulatory Surgical Center (ASC) final rule (86 FR 63815 
through 86 FR 63822); and CY 2022 End-Stage Renal Disease (ESRD) PPS 
final rule (86 FR 61941 through 86 FR 61948).
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    In this RFI, we are soliciting comments on our anticipated approach 
to the use of Health Level Seven[supreg] (HL7[supreg]) Fast Healthcare 
Interoperability Resources[supreg] (FHIR[supreg]) in electronic 
clinical quality measure (eCQM) reporting. Several CMS programs 
currently use, or are considering using, eCQMs for various clinicians, 
facilities, providers, and other organizations to report their 
respective quality performance. These CMS programs include the Hospital 
Inpatient Quality Reporting (IQR) Program, the Hospital Outpatient 
Quality Reporting (OQR) Program, and the Medicare Promoting 
Interoperability Program. We are seeking feedback in this RFI on FHIR-
based eCQM activities in these programs. We anticipate including a 
similar request in the CY 2026 Physician Fee Schedule (PFS) proposed 
rule to solicit comments on FHIR-based eCQM activities in the Medicare 
Shared Savings Program and the Merit-based Incentive Payment System 
(MIPS) quality performance category.
    In this RFI, we are also soliciting comments on our anticipated 
approach to FHIR-based patient assessment reporting in the Inpatient 
Psychiatric Facility Quality Reporting (IPFQR) Program. While we seek 
comments in this RFI for the IPFQR Program in this proposed rule (as a 
majority of IPFs are hospital-based),\268\ we anticipate seeking 
similar feedback in the FY 2026 Inpatient Psychiatric Facility (IPF) 
Prospective Payment System (PPS) proposed rule.
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    \268\ We refer readers to the FY 2025 IPF PPS-Rate Update final 
rule, Table 24 (89 FR 64670). Based on this data, 59.3 percent of 
IPFs were hospital-based units, a figure derived by dividing the sum 
of urban and rural units by the total number of facilities.
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    We will consider the feedback we receive as we refine our dQM 
transition efforts and plan the strategic modernization of our quality 
measurement enterprise.
1. Background
    Having immediate access to electronic health information, in near 
real-time, supports quality measurement efforts, provides the ability 
to use these data for patient care considerations, and may lead to 
improved clinical outcomes. To support this, we aim to transition to a 
fully dQM landscape that promotes interoperability and increases the 
value of reporting quality measure data. In the coming years, we will 
continue to seek ways to advance technical infrastructure, update 
program regulations, and engage Federal partners and the public to 
support this dQM transition.\269\
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    \269\ Read more about the dQM transition in the Electronic 
Clinical Quality Improvement (eCQI) Resource Center here: https://ecqi.healthit.gov/dqm?qt-tabs_dqm=about-dqms.
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    We are collaborating with Federal agencies, including the Assistant 
Secretary for Technology Policy (ASTP) and Office of the National 
Coordinator for Health Information Technology (ONC) (collectively, 
ASTP) \270\ to support data standardization and alignment of 
requirements for the development and reporting of digital quality 
measures. Advancements in the interoperability of healthcare data and 
corresponding requirements from ASTP have created the technical 
foundation across health information technology (IT) systems to pursue 
modernization of CMS' quality measurement systems. The 21st Century 
Cures Act: Interoperability, Information Blocking, and the ONC Health 
IT Certification Program final rule (85 FR 25642) and the Health Data, 
Technology, and Interoperability: Certification Program Updates, 
Algorithm Transparency, and Information Sharing (HTI-1) final rule (89 
FR 1192) advanced policy approaches that enable flexible, granular data 
sharing from the certified health IT systems used by many healthcare 
providers, facilities, and clinicians. Aligning technology requirements 
for healthcare providers, payers, public health agencies, and health IT 
developers allows for advancement of an interoperable health IT 
infrastructure that ensures providers and patients have access to 
health data when and where it is needed.
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    \270\ On July 29, 2024, notice was posted in the Federal 
Register that ONC would be dually titled to the Assistant Secretary 
for Technology Policy and Office of the National Coordinator for 
Health Information Technology (89 FR 60903).
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    We continue to collaborate with ASTP on future versions of the 
United States Core Data for Interoperability (USCDI),\271\ which 
establishes a baseline set of data elements referenced in health 
information exchange certification criteria under the ONC Health IT 
Certification Program. In addition, the ASTP USCDI+ program supports 
identification and establishment of domain-specific datasets that build 
on the USCDI foundation.\272\ The USCDI+ Quality domain,\273\ which we 
discuss in more detail in section X.2.b. of the preamble of this 
proposed rule, aims to harmonize data needs for quality measurement 
across Federal agencies and other interested parties, and inform 
supplemental standards necessary to support quality measurement. We 
also continue to work with ASTP to advance the interoperability of 
patient assessment data through collaboration with interested parties 
to develop FHIR standards through the CMS-sponsored Post-Acute Care 
Interoperability (PACIO) Project.\274\
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    \271\ https://www.healthit.gov/isp/united-states-core-data-interoperability-uscdi.
    \272\ https://www.healthit.gov/topic/interoperability/uscdi-plus.
    \273\ https://uscdiplus.healthit.gov/uscdiplus?id=uscdi_record&table=x_g_sshh_uscdi_domain&sys_id=7ddf78228745b95098e5edb90cbb3525&view=sp.
    \274\ https://pacioproject.org/.
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    Moreover, the CMS Innovation Center's Enhancing Oncology Model 
recently completed its first reporting period in which FHIR-based 
application programming interfaces (APIs) were used by model 
participants to submit clinical data elements to CMS. This 
specification for reporting was developed as part of the USCDI+ Cancer 
domain, in close collaboration with ASTP, the National Institutes of 
Health (NIH), and the National Cancer Institute (NCI).\275\
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    \275\ https://www.cms.gov/priorities/innovation/innovation-models/enhancing-oncology-model.
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    We are also collaborating with the Centers for Disease Control and 
Prevention (CDC) and the Health Resources and Services Administration 
(HRSA) in our dQM transition strategy. The CDC National Healthcare 
Safety Network (NHSN) is leading the development of fully electronic 
and automated digital quality measures for patient safety and public 
health surveillance, preparedness, and

[[Page 18324]]

response.\276\ We are working together with NHSN to explore a 
modernized approach for reporting quality measures to CMS via the NHSN 
data pipeline. There are currently nine digital quality measures 
reported to NHSN that are used in CMS programs.\277\ CMS and CDC are 
working together to transition to fully automated digital quality 
measures using a two-pronged approach: (1) Develop new measures to 
address patient safety gaps; and (2) Update current measures to a FHIR-
based format.
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    \276\ https://www.cdc.gov/nhsn/fhirportal/index.html.
    \277\ https://www.cdc.gov/nhsn/cms/index.html.
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    The NHSN dQM approach uses a reusable reporting framework (NHSN 
Digital Quality Measure Reporting Implementation Guide (IG)) \278\ in 
conjunction with content based in national, interoperable data 
standards (USCDI and USCDI+) that are aligned with CMS requirements, 
and submitted via secure data transfer via open-source FHIR API 
(NHSNLink).\279\ Promoting the use of these standards-based, flexible, 
advanced data reporting methods will reduce the reporting burden on 
facilities while increasing timeliness and completeness, and will 
improve the accuracy and quality of data, enhancing health system 
readiness and response capacity through near real-time data collection.
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    \278\ https://build.fhir.org/ig/HL7/nhsn-dqm/.
    \279\ https://www.cdc.gov/nhsn/fhirportal/about.html.
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    Our partners at HRSA are also making efforts to modernize reporting 
of eCQMs.\280\ As part of the Uniform Data System (UDS) modernization, 
HRSA has developed the Uniform Data Systems Plus (UDS+), which provides 
for the electronic submission (using FHIR) of de-identified patient-
level data including data elements aligned to select CMS eCQMs that 
health centers are required to report.\281\ HRSA developed a UDS+ FHIR 
IG, which specifies the FHIR API requirements for structuring and 
transmitting these data elements based on program requirements.
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    \280\ https://bphc.hrsa.gov/data-reporting/uds-training-and-technical-assistance/uniform-data-system-uds-modernization-initiative.
    \281\ https://www.fhir.org/guides/hrsa/uds-plus/dataelements.html.
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    All of these efforts to leverage standardized data and the FHIR 
model are intended to accelerate and support the transition to a data-
driven healthcare system that will ultimately reduce provider burden, 
support the patient experience, and improve quality of care. Shifting 
towards approaches based on the FHIR standard will help us pave the way 
for future digital quality measures.\282\
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    \282\ https://ecqi.healthit.gov/dqm?qt-tabs_dqm=about-dqms.
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    We thank the public for providing feedback through industry 
conferences, direct conversations with CMS and our Federal partners, 
and submitting comments to RFIs in previous rulemaking. As we support 
healthcare providers, facilities, and clinicians, the health IT 
industry, and Federal partners in their respective activities, we are 
requesting public input on this RFI to better inform our ongoing 
strategy to transition to a fully digital quality landscape. Note that 
any substantive updates to program-specific requirements related to 
providing data for quality measurement and reporting would be addressed 
through future notice-and-comment rulemaking, as necessary.
2. Approach to eCQM Reporting Using FHIR in CMS Quality Programs
    In this section, we describe the current state and request input on 
key components of the ongoing dQM transition related to FHIR-based 
eCQMs for the Hospital IQR Program, the Hospital OQR Program, and the 
Medicare Promoting Interoperability Program. These components include: 
(1) FHIR-based eCQM conversion progress; (2) Data standardization for 
quality measurement and reporting; (3) The timeline under consideration 
for FHIR-based eCQM reporting; and (4) Measure development and 
reporting tools.
a. eCQM FHIR Conversion Activities
    Currently, eligible hospitals are required to report eCQMs for the 
Hospital IQR Program and the Hospital OQR Program, and eligible 
hospitals and critical access hospitals (CAHs) must report eCQMs 
through the Medicare Promoting Interoperability Program. Additionally, 
Medicare Shared Savings Program Accountable Care Organizations (ACOs) 
and eligible clinicians participating in the Merit-based Incentive 
Payment System (MIPS) can report eCQMs for their quality reporting. 
Electronic health record (EHR) and other health IT systems certified 
under the ONC Health IT Certification Program use patient data to 
calculate the results for each eCQM based upon the measure 
specifications for the eCQM.\283\
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    \283\ https://ecqi.healthit.gov/sites/default/files/eCQM-Basics-508.pdf.
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    An important initial step in our dQM strategy is to ensure current 
eCQMs are specified using the FHIR standard and allow these measures to 
be calculated consistently using standardized data represented in FHIR. 
Standardized digital data can support multiple use cases, including 
quality measurement, quality improvement efforts, clinical decision 
support, research, and public health. The eCQMs currently use 
structured data defined by the Quality Data Model (QDM) and measure 
logic in Clinical Quality Language to evaluate a clinician's, 
provider's, facility's, or organization's performance on a measure 
concept.\284\
---------------------------------------------------------------------------

    \284\ https://ecqi.healthit.gov/sites/default/files/Digital%20Quality%20Measurement%20eCQMs%20reference%20brief_508ed.pdf
.
---------------------------------------------------------------------------

    As we move to FHIR-based eCQMs, we continue to convert current 
eCQMs (authored using the QDM) to eCQMs authored using the HL7 
FHIR[supreg] Quality Improvement Core (QI-Core) IG, updating to new 
versions as appropriate. We are conducting advanced validation of FHIR 
data exchange through ongoing HL7 Connectathons and integrated systems 
testing, leveraging and refining IGs to enhance interoperability and 
data standardization.\285\ While new eCQMs continue to be developed, 
proposed, and adopted in existing CMS programs, we are working with 
measure developers to ensure existing eCQMs are converted to FHIR and 
that new eCQMs are also natively developed in FHIR. In the future, we 
are considering a requirement that all measures proposed for addition 
to CMS programs be specified in FHIR.
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    \285\ Summaries are available and more information on the most 
recent Connectathon is available at: https://confluence.hl7.org/spaces/FHIR/pages/281218287/2025+-+01+Clinical+Reasoning.
---------------------------------------------------------------------------

    Additional information and updates regarding eCQMs and the dQM 
transition can be found on the Electronic Clinical Quality Improvement 
(eCQI) Resource Center website, available at: https://ecqi.healthit.gov/dqm?qt-tabs_dqm=dqm-strategic-roadmap. We continue to 
explore potential applications of the FHIR standard to the reporting 
and use of different types of quality measurement data.
    We seek feedback on the following questions:
     Are there specific eCQMs or elements of existing eCQMs 
that you anticipate presenting particular challenges in specifying in 
FHIR?
     Are there gaps in the QI-Core IG that are likely to impact 
our ability to effectively specify current CMS eCQMs in FHIR?
     What supplementary activities would encourage additional 
engagement in FHIR testing activities (such as

[[Page 18325]]

Connectathons) that support the development of current and future IGs 
to advance adoption and use of FHIR-based eCQMs?
b. Data Standardization for Quality Measurement and Reporting
    We are continuing to collaborate with ONC as it develops a 
certification approach to enable reporting of FHIR-based eCQMs using 
technology certified under the ONC Health IT Certification Program. 
This approach aims to repurpose and harmonize existing FHIR 
requirements in the ONC Health IT Certification Program whenever 
possible.\286\ It also aims to incorporate industry-developed standards 
for the exchange of quality measurement data using FHIR.
---------------------------------------------------------------------------

    \286\ See 45 CFR 170.315(g)(10)--Standardized API for patient 
and population services FHIR certification in the ONC Health IT 
Certification program.
---------------------------------------------------------------------------

    In this section we discuss the standards and other artifacts which 
CMS and ONC are evaluating to serve as the basis for new health IT 
certification criteria supporting FHIR-based quality measurement and 
reporting. New health IT certification criteria for quality measurement 
and reporting could include requirements for certified health IT 
modules to support the consistent capture and exchange of quality data 
using FHIR APIs. New criteria could also support standardized reporting 
rules to ensure successful submission of quality measure data for the 
Hospital IQR Program, the Hospital OQR Program, and the Medicare 
Promoting Interoperability Program.
    A key artifact we are reviewing as part of this approach is the QI-
Core IG, which defines a set of FHIR profiles within a common logic 
model for clinical quality measurement and clinical decision support 
intended for use for multiple use cases across domains.\287\ As 
described previously, this IG is used to represent the data elements 
necessary to support current eCQMs.
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    \287\ https://hl7.org/fhir/us/qicore/index.html.
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    The QI-Core IG builds on the HL7 FHIR[supreg] US Core IG (US Core 
IG) which is currently referenced under the ONC Health IT Certification 
Program and implements the USCDI in FHIR. The US Core IG is 
incorporated in the ``Standardized API for patient and population 
services'' health IT certification criterion \288\ and is widely 
implemented across certified health IT systems. Accordingly, we 
anticipate that developers implementing the QI-Core IG will be able to 
leverage existing work from implementing the US Core IG. QI-Core is 
expected to evolve over time to reflect subsequent versions of the US 
Core IG. For example, QI-Core 6.0 builds upon US Core version 6.1.0, 
which provides consensus-based capabilities aligned with USCDI version 
3 (v3) data elements for FHIR APIs. In the HTI-1 final rule (89 FR 
1196), ASTP finalized the expiration of USCDI v1 on January 1, 2026, 
and adopted USCDI v3 as the new baseline version of USCDI after USCDI 
v1 expires.
---------------------------------------------------------------------------

    \288\ 45 CFR 170.315(g)(10).
---------------------------------------------------------------------------

    We also anticipate alignment between the QI-Core IG and the USCDI+ 
Quality data element list, which incorporates additional data elements 
beyond USCDI. We have collaborated with ASTP around the development of 
USCDI+ Quality as an extension to USCDI to improve healthcare 
interoperability across quality programs, establishing a consistent 
baseline of harmonized data elements for a wide range of quality 
measurement use cases.\289\ Specifically for CMS programs, USCDI+ 
Quality includes the data elements to support program-specific 
measures.\290\
---------------------------------------------------------------------------

    \289\ https://www.healthit.gov/topic/interoperability/uscdi-plus.
    \290\ For more information about the USCDI+ Quality data element 
list please visit https://uscdiplus.healthit.gov/.
---------------------------------------------------------------------------

    We are also considering the Data Exchange for Quality Measures 
(DEQM) IG \291\ as part of the framework supporting the transition to 
FHIR-based eCQMs, in particular for supporting FHIR-based reporting to 
CMS. The DEQM IG provides a framework that defines conformance profiles 
and guidance to enable the exchange of quality information and enable 
FHIR-based quality measure reporting. It is based upon other related 
work in the FHIR and quality measure realm, including the US Core IG, 
the Healthcare Effectiveness Data and Information Set (HEDIS) IG, and 
Quality Reporting Document Architecture (QRDA) Category I and III 
reporting specifications. We are considering the use of the DEQM IG 
with quality measures specified in accordance with QI-Core.
---------------------------------------------------------------------------

    \291\ https://build.fhir.org/ig/HL7/davinci-deqm/.
---------------------------------------------------------------------------

    To facilitate the exchange of significant volumes of data to 
support quality measurement, we are also evaluating the use of HL7 FHIR 
[supreg] Bulk Data, both on its own \292\ or through the DEQM IG.\293\ 
The existing Bulk Data Access IG defines a standardized, FHIR-based 
approach for exporting bulk data from a FHIR server to an authenticated 
and authorized client. ASTP has adopted the Bulk Data Access IG STU 1, 
version 1.0.0, published on August 8, 2019 (hereafter referred to as 
version 1), and has incorporated it into the ONC Health IT 
Certification Program.\294\ The Bulk Data Access IG has recently seen 
considerable revisions and enhancements over version 1 from the HL7 
standards community. A new version of the Bulk Data Access IG, planned 
to be balloted in 2025, is expected to introduce new features such as 
the capacity to organize output by patient and criteria-based cohort 
creation, which could significantly enhance the quality reporting use 
case for the IG.\295\ The HL7 community will also continue to prepare 
additional enhancements to the Bulk Data Access IG throughout 2025, 
with the Argonaut Project announcing Bulk Import as a 2025 
project.\296\ Bulk Import is already being used by HRSA in their UDS+ 
IG,\297\ and has the potential to enhance the quality reporting use 
case more broadly. It defines a standardized mechanism for data 
submitters to upload or submit their Bulk FHIR data to a receiving 
system when they have their Bulk FHIR data ready to submit, rather than 
having to reactively respond to a Bulk FHIR export request initiated by 
a receiving system.
---------------------------------------------------------------------------

    \292\ https://hl7.org/fhir/uv/bulkdata/.
    \293\ https://hl7.org/fhir/us/davinci-deqm/OperationDefinition-bulk-submit-data.html.
    \294\ ONC has adopted the Bulk Data Access IG, version 1, in 45 
CFR 170.215, and has incorporated this IG into the ONC Health IT 
Certification Program as part of the ``Standardized API for patient 
and population services'' certification criterion in 45 CFR 
170.215(g)(10).
    \295\ See Argonaut Bulk Optimize project: https://confluence.hl7.org/spaces/AP/pages/227213555/Bulk+Optimize.
    \296\ https://confluence.hl7.org/spaces/AP/pages/325453837/Bulk+Import.
    \297\ https://www.fhir.org/guides/hrsa/uds-plus/OperationDefinition-import.html.
---------------------------------------------------------------------------

    We seek feedback on the following questions:
     Can you share any experiences or challenges reviewing, 
implementing, or testing the QI-Core, DEQM, or Bulk FHIR standards, 
including any experiences or challenges unique to Bulk FHIR Import 
versus Bulk FHIR Export?
     Are there any deficiencies or gaps in the DEQM IG that 
must be addressed before it can potentially be used for reporting to 
CMS on eCQMs using FHIR APIs?
     Are there additional baseline requirements or capabilities 
that need to be considered before FHIR-based eCQMs could be reported to 
CMS using Bulk FHIR?
c. Timeline Under Consideration for FHIR-Based eCQM Reporting
    As we noted in the FY 2023 IPPS/LTCH PPS final rule (87 FR 49183), 
we are considering proposing a transition

[[Page 18326]]

period during which healthcare providers may report using either QDM- 
or FHIR-based eCQMs. This period would provide time for quality program 
participants, health IT developers, and CMS to engage in learning to 
optimize systems and processes. During this period, participants would 
still be required to report on the number of eCQMs finalized for an 
applicable reporting program, but program participants would be able to 
choose to submit either QDM-based or FHIR-based eCQMs to meet 
respective reporting requirements. For instance, program participants 
who are implementing updated certified health IT and gaining experience 
with FHIR-based eCQMs could continue submitting QRDA files to meet 
program requirements, while those who are ready to report FHIR-based 
eCQMs would be able to do so, for a specified period. For the purposes 
of this RFI, we refer to this concept as the ``reporting options'' 
period.
    We acknowledge that participants in the identified CMS programs may 
proceed with updating certified health IT and implementing dQMs at 
different speeds. Hence, we are considering the reporting options 
period in order to provide additional time for providers to make the 
transition, in advance of any future proposal to require FHIR-based 
reporting. We are considering at least a two-year reporting options 
period before any future proposal to require mandatory reporting. Note 
that any updates to specific program requirements related to providing 
data for quality measurement and reporting would be addressed through 
future notice-and-comment rulemaking, as necessary.
    We seek feedback on the following questions:
     Would a minimum of 24 months from the effective date of a 
FHIR-based eCQM reporting option using ONC Health IT Certification 
Program criteria to support quality program submission provide 
sufficient time for implementation (including measure specification 
review, certified health IT updates, workflow changes, training, and 
testing)?
     What resources or guidance could CMS provide to assist 
with the transition to submission of FHIR-based eCQM data?
     What, if any, challenges do you anticipate with the 
reporting timeline of FHIR-based eCQMs (beginning with at least a two-
year reporting options period before any future proposal to require 
FHIR-based reporting)?
     What resources, guidance, or other support can we provide 
to encourage and facilitate the early adoption and reporting of FHIR-
based eCQMs during the reporting options period?
d. Measure Development and Reporting Tools
    We develop and maintain tools and resources to assist measure 
developers in the different stages of the Measure Lifecycle.\298\ The 
Measure Authoring Development Integrated Environment (MADiE) is a free 
software tool that supports the eCQM development and testing process 
through dynamic authoring and testing within a single application.\299\ 
MADiE supports QI-Core profile-informed authoring, testing, and 
verification of the behavior of FHIR-based eCQMs.\300\ We encourage 
measure developers to continue using this environment for the 
development of FHIR-based eCQMs.
---------------------------------------------------------------------------

    \298\ https://mmshub.cms.gov/cms-tools.
    \299\ https://www.emeasuretool.cms.gov/.
    \300\ Ibid.
---------------------------------------------------------------------------

    In the FY 2023 IPPS/LTCH PPS final rule (87 FR 49183), we described 
plans to modernize programmatic data receiving systems through a 
unified CMS FHIR receiving system that would provide a single point of 
data receipt for quality reporting programs. We may also consider 
separate FHIR receiving systems for some programs initially as the 
shift to FHIR across CMS programs will be incremental. CMS will provide 
information on the form and manner for reporting for each program in 
respective notice-and-comment rulemaking, as necessary. Our vision 
remains to ultimately develop and implement a single point of data 
receipt via a unified CMS FHIR receiving system.
    In the CMS Digital Quality Measurement Strategic Roadmap, we noted 
the development of a FHIR-based measure calculation tool (MCT).\301\ 
After further consideration and testing, we have decided not to advance 
the MCT as previously described.
---------------------------------------------------------------------------

    \301\ https://ecqi.healthit.gov/dqm?qt-tabs_dqm=dqm-strategic-roadmap.
---------------------------------------------------------------------------

    We seek feedback on the following question:
     What capabilities would be most useful for CMS to support 
in a FHIR-based eCQM reporting model?
     What, if any, additional concerns should CMS take into 
consideration when developing FHIR-based reporting requirements for 
systems receiving quality data?
e. Additional FHIR Transition Activities for ACOs
    While this RFI focuses on the Hospital IQR Program, the Hospital 
OQR Program, and the Medicare Promoting Interoperability Program, we 
also intend to seek similar feedback in future rulemaking, including in 
the CY 2026 PFS proposed rule for MIPS. In addition, in the near 
future, we intend to solicit feedback on how the dQM transition and use 
of FHIR-based approaches to quality reporting would impact eligible 
clinicians participating in MIPS as well as in ACOs. ACOs have 
encountered challenges with aggregating, deduplicating, and matching 
quality data necessary to report using the eCQM and MIPS Clinical 
Quality Measure (CQM) collection types, as ACOs may bring together 
healthcare providers using disparate EHR systems from which data must 
be extracted and aggregated. We anticipate seeking feedback on how the 
transition to FHIR-based reporting of eCQMs could help to mitigate 
these challenges.
3. Approach to FHIR Patient Assessment Reporting in the IPFQR Program
    Section 4125(b) of the Consolidated Appropriations Act of 2023 
(CAA, 2023) (Pub. L. 117-328, Dec. 29, 2022) \302\ amended section 
1886(s)(4) of the Act by adding a new subparagraph (E), which requires 
an inpatient psychiatric facility (IPF) participating in the IPFQR 
Program to collect and submit specified standardized patient assessment 
data using a new standardized patient assessment instrument, for rate 
year 2028 and each subsequent year.
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    \302\ https://www.congress.gov/117/plaws/publ328/PLAW-117publ328.pdf.
---------------------------------------------------------------------------

    As noted in the RFI \303\ in the FY 2025 IPF Prospective Payment 
System (PPS)-Rate Update proposed rule, achieving interoperability is 
an essential part of our goal to facilitate safe and secure data 
sharing, access, and utilization of electronic health information to 
enhance decision-making and create a more efficient healthcare system 
(89 FR 23201). We also stated that we are considering ways to ensure 
that the IPF Patient Assessment Instrument (IPF-PAI) can be represented 
using FHIR standards (89 FR 23201). As part of that RFI, we requested 
and received input on topics including: Whether Standardized Patient 
Assessment Data Elements already in use in the CMS Data Element Library 
(DEL) \304\ are appropriate and clinically relevant for the IPF 
setting, use of CMS reporting systems, and other interoperability-
related considerations (89 FR 23201). In the FY 2025 IPF PPS final 
rule, we acknowledged a recommendation to align the IPF-PAI with USCDI 
and several commenters

[[Page 18327]]

noted IPFs did not receive funding to adopt CEHRT, suggesting we 
consider how the implementation of the IPF-PAI would affect providers 
without EHRs (89 FR 64646).
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    \303\ ``Patient Assessment Instrument Under IPFQR Program (IPF 
PAI) to Improve the Accuracy of PPS'' (89 FR 23200 through 23204).
    \304\ https://del.cms.gov/DELWeb/pubHome.
---------------------------------------------------------------------------

    We are considering opportunities to advance FHIR-based reporting of 
patient assessment data for the IPF-PAI mandated by the CAA, 2023. The 
questions in this section seek to gain an understanding of the current 
adoption and use of EHRs, other health IT, and data standards 
supporting interoperability (such as FHIR and USCDI) within IPFs. We 
also aim to identify the extent of technology adoption beyond certified 
health IT and EHRs and seek a better understanding of how FHIR-
standardized data can be generated, used, and shared through other 
technologies, without use of EHRs. Our objective is to explore how IPFs 
typically integrate technologies with varying complexity into existing 
systems and how this affects IPF workflows. We seek to identify the 
challenges or opportunities that may arise during this integration, and 
determine the support needed to complete and submit the IPF-PAIs in 
ways that protect and enhance care delivery. This insight will help 
inform the technologies we may consider for use with the IPF-PAI and 
quality data reporting.
    We seek feedback on the current state of health IT use, including 
EHRs, in IPFs:
     To what extent does your IPF use health IT systems to 
maintain and exchange patient records?
     If your facility has transitioned to using electronic 
records in whole or in part, what types of health IT does your IPF use 
to maintain electronic patient records? Are these health IT systems 
certified under the ONC Health IT Certification Program? Does your 
facility use EHRs or other health IT products or systems that are not 
certified under the ONC Health IT Certification Program? If so, do 
these systems exchange data using standards and implementation 
specifications adopted by HHS? \305\ Please specify.
---------------------------------------------------------------------------

    \305\ For instance, see standards adopted by ONC on behalf of 
HHS in 45 CFR part 170, subpart B.
---------------------------------------------------------------------------

     Does your IPF submit patient data to CMS directly from 
your health IT system, without the assistance of a third-party 
intermediary? If a third-party intermediary is used to report data, 
what type of intermediary service is used? How does your facility 
currently exchange health information with other healthcare providers 
or systems, specifically between IPFs and other provider types or with 
public health agencies? What challenges do you face with electronic 
exchange of health information?
     Are there any challenges with your current electronic 
devices (for example, tablets, smartphones, computers) that hinder your 
ability to easily exchange information across health IT systems? Please 
describe any specific issues you encounter.
     Does limited internet or lack of internet connectivity 
impact your ability to exchange data with other healthcare providers, 
including community-based care services, or your ability to submit 
patient data to CMS?
     What steps does your IPF take to ensure compliance in 
using health IT with security and patient privacy requirements such as 
the requirements of the regulations promulgated under the Health 
Insurance Portability and accountability Act (HIPAA) and related 
regulations?
     Does your IPF refer to the SAFER Guides (see newly revised 
versions published in January 2025 at https://www.healthit.gov/topic/safety/safer-guides) \306\ to self-assess EHR safety practices?
---------------------------------------------------------------------------

    \306\ The SAFER Guides are an evidence-based set of 
recommendations in the form of nine stand-alone, subject-oriented 
chapters that present the health IT community, including eligible 
hospitals and CAHs that use health IT, with best practice 
recommendations to improve the safety and safe use of EHRs. See 
https://www.healthit.gov/topic/safety/safer-guides.
---------------------------------------------------------------------------

     What challenges or barriers does your IPF encounter when 
submitting quality measure data to CMS as part of the IPFQR Program? 
Please identify any factors that hinder successful data submission. 
What opportunities or factors could improve your facility's successful 
data submission to CMS?
     What types of technical assistance, guidance, workforce 
training resources, and other resources would help IPFs to successfully 
implement FHIR-based technologies for submitting the IPF-PAI to CMS? 
What strategies can CMS, HHS, or other Federal partners take to ensure 
that technical assistance is both comprehensive and user-friendly? How 
could Quality Improvement Organizations (QIOs) or other entities 
enhance this support?
     Is your facility using technology that utilizes APIs based 
on the FHIR standard to enable electronic data sharing? If so, with 
whom are you sharing data using the FHIR standard and for what 
purpose(s)? For example, have you used FHIR APIs to share data with 
public health agencies? Does your facility use any Substitutable 
Medical Applications and Reusable Technologies (SMART) on FHIR \307\ 
applications? If so, are the SMART on FHIR applications integrated with 
your EHR or other health IT?
---------------------------------------------------------------------------

    \307\ https://smarthealthit.org/.
---------------------------------------------------------------------------

     What benefits or challenges have you experienced with 
implementing technology that uses FHIR-based APIs? How can adopting 
technology that uses FHIR-based APIs to facilitate the reporting of 
patient assessment data impact provider workflows? What impact, if any, 
does adopting this technology have on quality of care?
     Does your facility have any experience using technology 
that shares electronic health information using one or more versions of 
the USCDI standard?
     Would your IPF and vendors or both be interested in 
participating in testing to explore options for transmission of 
assessments, for example, testing methods to transmit assessments that 
incorporate FHIR-enabled data to CMS?
     What other information should we consider to facilitate 
successful adoption and integration of FHIR-based technologies and 
standardized data for patient assessment instruments like the IPF-PAI? 
We invite any feedback, suggestions, best practices, or success stories 
related to the implementation of these technologies.
4. General Solicitation of Comments
    In conjunction with the previous questions, we are also seeking 
input on the following:
     Specific to FHIR-based quality reporting, are there any 
additional factors, or considerations to account for, that may help 
foster data harmonization and reduce reporting burden across entities?
     The Trusted Exchange Framework and Common 
AgreementTM (TEFCATM) framework supports 
nationwide health information exchange by connecting health information 
networks (HINs) across the country.\308\ Additionally, TEFCA 
facilitates FHIR exchange by requiring Qualified HINs (QHINs) to 
perform patient discovery for those querying for data and providing 
data holders with FHIR endpoints to enable point-to-point exchange via 
FHIR APIs. How could this initiative potentially support exchange of 
FHIR-based quality measures and patient assessment submissions 
consistent with the FHIR Roadmap (available here: https://rce.sequoiaproject.org/three-year-fhir-roadmap-for-tefca/)? How might 
TEFCA enable the use of patient assessment

[[Page 18328]]

data for secondary uses such as treatment and research?
---------------------------------------------------------------------------

    \308\ For more information about TEFCA, see https://www.healthit.gov/topic/interoperability/policy/trusted-exchange-framework-and-common-agreement-tefca.
---------------------------------------------------------------------------

C. Requirements for and Changes to the Hospital Inpatient Quality 
Reporting (IQR) Program

1. Background and History of the Hospital IQR Program
    The Hospital IQR Program is a pay-for-reporting program intended to 
measure the quality of hospital inpatient services, improve the quality 
of care provided to Medicare beneficiaries, and facilitate public 
transparency. Section 1886(b)(3)(B)(viii) of the Social Security Act 
(the Act) states that subsection (d) hospitals participating in the 
Hospital IQR Program that do not submit data required for measures 
selected with respect to such a year, in the form and manner required 
by the Secretary, will incur a 2.0 percentage point reduction to their 
annual payment update for the applicable fiscal year. We refer readers 
to our previous final rules for detailed discussions of the history of 
the Hospital IQR Program, including statutory history, and for the 
measures we have previously adopted for the Hospital IQR Program 
measure set.\309\ We also refer readers to 42 CFR 412.140 for Hospital 
IQR Program regulations. We note that we are discontinuing the practice 
of retaining all subsections every year and have thus omitted 
subsections where there are no proposed changes.
---------------------------------------------------------------------------

    \309\ These rules are: the FY 2010 IPPS/LTCH PPS final rule (74 
FR 43860 through 43861); the FY 2011 IPPS/LTCH PPS final rule (75 FR 
50180 through 50181); the FY 2012 IPPS/LTCH PPS final rule (76 FR 
51605 through 61653); the FY 2013 IPPS/LTCH PPS final rule (77 FR 
53503 through 53555); the FY 2014 IPPS/LTCH PPS final rule (78 FR 
50775 through 50837); the FY 2015 IPPS/LTCH PPS final rule (79 FR 
50217 through 50249); the FY 2016 IPPS/LTCH PPS final rule (80 FR 
49660 through 49692); the FY 2017 IPPS/LTCH PPS final rule (81 FR 
57148 through 57150); the FY 2018 IPPS/LTCH PPS final rule (82 FR 
38326 through 38328 and 82 FR 38348); the FY 2019 IPPS/LTCH PPS 
final rule (83 FR 41538 through 41609); the FY 2020 IPPS/LTCH PPS 
final rule (84 FR 42448 through 42509); the FY 2021 IPPS/LTCH PPS 
final rule (85 FR 58926 through 58959); the FY 2022 IPPS/LTCH PPS 
final rule (86 FR 45360 through 45426); the FY 2023 IPPS/LTCH PPS 
final rule (87 FR 49190 through 49310); the FY 2024 IPPS/LTCH PPS 
final rule (88 FR 59144 through 59203); and the FY 2025 IPPS/LTCH 
PPS final rule (89 FR 69515 through 69577).
---------------------------------------------------------------------------

2. Considerations in Expanding and Updating Quality Measures
(a) Measure Concepts Under Consideration for Future Years in the 
Hospital IQR Program--Request for Information (RFI): Well-Being and 
Nutrition
    We are seeking input on well-being and nutrition measures for 
future years in the Hospital IQR Program. Well-being is a comprehensive 
approach to disease prevention and health promotion, as it integrates 
mental and physical health while emphasizing preventative care to 
proactively address potential health issues.\310\ This comprehensive 
approach emphasizes person-centered care by promoting the well-being of 
patients and family members. We are seeking comments on tools and 
measures that assess overall health, happiness, and satisfaction in 
life that could include aspects of emotional well-being, social 
connections, purpose, and fulfillment. We would like to receive input 
and comments on the applicability of tools and constructs that assess 
for the integration of complementary and integrative health, skill 
building, and self-care. Please provide feedback on the relevant 
aspects of well-being for the Hospital IQR Program.
---------------------------------------------------------------------------

    \310\ Well-Being Concepts. (2017). CDC Archives. Available at: 
https://www.naspa.org/images/uploads/kcs/WHPL_Canon_WB_Well-Being_Concepts_HRQOL_CDC_2017.pdf.
---------------------------------------------------------------------------

    A second concept that we are seeking feedback on is for measures of 
nutrition. In the FY 2023 IPPS/LTCH PPS final rule, we adopted the 
Malnutrition Care Score (MCS) \311\ electronic quality measure (eCQM) 
into the Hospital IQR Program, which assesses adults 65 years of age 
and older admitted to inpatient hospital services who received care 
appropriate to their level of malnutrition risk and malnutrition 
diagnosis (87 FR 49239 through 49246). In the FY 2025 IPPS/LTCH PPS 
final rule we modified the MCS eCQM to expand the population assessed 
to include patients 18 years of age and older (89 FR 69557 through 
69560). We are seeking comments on tools and measures that assess 
optimal nutrition and preventive care in the Hospital IQR Program. 
Assessments for nutritional status may include various strategies, 
guidelines, and practices designed to promote healthy eating habits and 
ensure individuals receive the necessary nutrients for maintaining 
health, growth, and overall well-being. Such assessments may also 
include aspects of health that support or mediate nutritional status, 
such as physical activity and sleep. In this context, preventive care 
plays a vital role by proactively addressing factors that may lead to 
poor nutritional status or related health issues. These efforts not 
only support optimal nutrition but also work to prevent conditions that 
could otherwise hinder an individual's health and nutritional needs. 
Please provide feedback on the relevant aspects of optimal nutrition 
and preventive care for the Hospital IQR Program.
---------------------------------------------------------------------------

    \311\ The eCQM previously named Global Malnutrition Composite 
Score has been updated to Malnutrition Care Score. The short name 
has subsequently been updated to MCS eCQM.
---------------------------------------------------------------------------

    While we will not be responding to specific comments in response to 
this RFI in the FY 2026 IPPS/LTCH PPS final rule, we intend to use this 
input to inform our future measure development efforts.
(b) Background
    We refer readers to the FY 2019 IPPS/LTCH PPS final rule (83 FR 
41147 and 41148), in which we describe the Meaningful Measures 
Framework. In 2021, we launched Meaningful Measures 2.0 to promote 
innovation and modernization of all aspects of quality, addressing a 
wide variety of settings, interested parties, and measure 
requirements.\312\
---------------------------------------------------------------------------

    \312\ Centers for Medicare & Medicaid Services. (2025). 
Meaningful Measures 2.0: Moving from Measure Reduction to 
Modernization. Available at: https://www.cms.gov/meaningful-measures-20-moving-measure-reduction-modernization.
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    There are statutory requirements that the Secretary of HHS make 
public certain quality and efficiency measures that the Secretary is 
considering for adoption through rulemaking under Medicare.\313\ To 
comply with those requirements, the Consensus-Based Entity (CBE), 
currently Battelle, convenes the Partnership for Quality Measurement 
(PQM), which is comprised of clinicians, patients, measure experts, and 
health information technology specialists, to participate in the pre-
rulemaking process and the measure endorsement process. We refer 
readers to the FY 2025 IPPS/LTCH PPS final rule and the PQM website 
\314\ for a more detailed discussion on the updated pre-rulemaking 
measure reviews (PRMR) process (89 FR 69457 through 69459).
---------------------------------------------------------------------------

    \313\ See section 1890A(a)(2) of the Social Security Act (42 
U.S.C. 1395aaa-1(a)(2)).
    \314\ Battelle, Partnership for Quality website. Available at: 
https://p4qm.org/.
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3. Proposed Refinements to Current Measures in the Hospital IQR Program 
Measure Set
    We propose refinements to two measures that are currently in the 
Hospital IQR Program measure set: (1) Hospital 30-Day, All-Cause, Risk-
Standardized Mortality Rate (RSMR) Following Acute Ischemic Stroke 
Hospitalization, beginning with the July 1, 2023-June 30, 2025 
reporting period/FY 2027 payment determination; and (2) Hospital-Level, 
Risk-Standardized Complication Rate (RSCR) Following Elective Primary 
Total Hip Arthroplasty (THA) and/or Total Knee Arthroplasty (TKA) 
measure beginning with the April

[[Page 18329]]

1, 2023-March 31, 2025 reporting period/FY 2027 payment determination.
a. Proposed Modification of the Hospital 30-Day, All-Cause, Risk-
Standardized Mortality Rate Following Acute Ischemic Stroke 
Hospitalization Measure Beginning With the FY 2027 Payment 
Determination
(1) Background
    Every year more than 795,000 people in the U.S. have a stroke.\315\ 
In 2022, strokes were the fifth leading cause of death in the U.S.\316\ 
Strokes are also associated with a high morbidity rate, causing over 
half of stroke survivors ages 65 years or older to suffer from reduced 
mobility.\317\ Between 2019 and 2020 alone, stroke-related costs 
totaled almost $56.2 billion in the U.S., including costs for 
healthcare services, medications, and missed workdays.\318\
---------------------------------------------------------------------------

    \315\ CDC. (2024). Stroke Facts. Available at: https://www.cdc.gov/stroke/data-research/facts-stats/index.html.
    \316\ CDC. (2024). Leading Causes of Death. Available at: 
https://www.cdc.gov/nchs/fastats/leading-causes-of-death.htm.
    \317\ CDC. (2024). Stroke Facts. Available at: https://www.cdc.gov/stroke/data-research/facts-stats/index.html.
    \318\ Ibid.
---------------------------------------------------------------------------

    Stroke outcomes can vary greatly depending on the facility where 
patients receive care.\319\ This was demonstrated in a study of 
Medicare patients ages 65 years or older admitted to a hospital for 
acute ischemic stroke, which found that stroke patients treated at 
hospitals with a higher volume of stroke patients had lower mortality 
rates and better outcomes.\320\ This association is likely due to high-
volume hospitals having more experience in treating strokes and 
developing improved processes of care.\321\ Research has shown that 
improving processes for responding to strokes leads to better patient 
outcomes. For example, having a dedicated stroke team on call provides 
hospitals with expertise in a variety of relevant areas including 
emergency medicine, vascular neurology, radiology, pharmacology, and 
laboratory analysis. Similarly, setting up organized workflows for 
diagnosing and treating stroke improves response times for a condition 
for which patient outcomes are highly dependent on the timeliness of 
treatment.\322\
---------------------------------------------------------------------------

    \319\ Neves, G., Cole, T., Lee, J., Bueso, T., Shaw, C., & 
Montalvan, V. (2022). Demographic and institutional predictors of 
stroke hospitalization mortality among adults in the United States. 
eNeurologicalSci, 26, 100392. https://doi.org/10.1016/j.ensci.2022.100392.
    \320\ Stein LK, Mocco J, Fifi J, Jette N, Tuhrim S, Dhamoon MS. 
Correlations Between Physician and Hospital Stroke Thrombectomy 
Volumes and Outcomes: A Nationwide Analysis. Stroke. 2021 
Aug;52(9):2858-2865. doi: 10.1161/STROKEAHA.120.033312. Epub 2021 
Jun 7. PMID: 34092122.
    \321\ Ibid.
    \322\ Herpich, Franziska MD1,2; Rincon, Fred MD, MSc, MB.Ethics, 
FACP, FCCP, FCCM1,2. Management of Acute Ischemic Stroke. Critical 
Care Medicine 48(11):p 1654-1663, November 2020. [verbar] DOI: 
10.1097/CCM.0000000000004597.
---------------------------------------------------------------------------

    To improve stroke outcomes for patients, we adopted the Hospital 
30-Day, All-Cause, Risk-Standardized Mortality Rate Following Acute 
Ischemic Stroke Hospitalization measure (hereinafter referred to as the 
MORT-30-STK measure) in the Hospital IQR Program beginning with the FY 
2016 payment determination (78 FR 50798 through 50802). The MORT-30-STK 
measure assesses the hospital-level, risk-standardized mortality rate 
after admission for acute ischemic stroke to any non-Federal acute care 
hospital. The measure includes Medicare fee-for-service (FFS) patients 
ages 65 years or older and the outcome is all-cause 30-day mortality.
    When this measure was adopted, most Medicare patients were enrolled 
in the Medicare FFS Program.\323\ However as of November 2024, roughly 
50 percent of Medicare beneficiaries--34.4 million people--were 
enrolled in Medicare Advantage (MA) plans.\324\ Including MA 
beneficiaries in hospital outcome measures would help ensure that 
hospital quality is measured across all Medicare beneficiaries, and 
would address concerns about differences in care quality for MA and 
Medicare FFS beneficiaries.325 326 Moreover, inclusion of MA 
beneficiaries increases the size of the measure's cohort, which 
enhances the reliability of the measure scores and allows more low-
volume hospitals to receive measure results.
---------------------------------------------------------------------------

    \323\ Freed M, Biniek JF, Damico A, Neuman T. (2024). Medicare 
Advantage in 2024: Enrollment Update and Key Trends. Kaiser Family 
Foundation. Available at: https://www.kff.org/medicare/issue-brief/medicare-advantage-in-2024-enrollment-update-and-key-trends/.
    \324\ Centers for Medicare & Medicaid Services. (2025). Medicare 
Enrollment Dashboard. Available at: https://data.cms.gov/tools/medicare-enrollment-dashboard. Accessed on March 25, 2025.
    \325\ Ochieng N and Biniek JF. (2022). Beneficiary Experience, 
Affordability, Utilization, and Quality in Medicare Advantage and 
Traditional Medicare: A Review of the Literature. Available at: 
https://www.kff.org/medicare/report/beneficiary-experience-affordability-utilization-and-quality-in-medicare-advantage-and-traditional-medicare-a-review-of-the-literature/.
    \326\ Medicare Payment Advisory Commission. (2022). The Medicare 
Advantage program: Status report and mandated report on dual-
eligible special needs plans. Available at: https://www.medpac.gov/wp-content/uploads/2022/03/Mar22_MedPAC_ReportToCongress_Ch12_SEC.pdf.
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(2) Overview of Measure Updates
    We propose modifications to the current MORT-30-STK measure with 
updates in the Hospital IQR Program beginning with the FY 2027 payment 
determination. Specifically, we propose to make two substantive updates 
to the MORT-30-STK measure: (1) we would expand the measure's inclusion 
criteria to include MA patients; and (2) we would shorten the 
performance period from 3 years to 2 years. The addition of MA 
encounter data to the measure roughly doubles the cohort size, improves 
measure reliability, and more accurately reflects the quality of care 
for both Medicare FFS and MA beneficiaries.
    The proposed measure modifications align with our Meaningful 
Measures 2.0 priority area of ``Seamless Care Coordination'', which 
includes leveraging processes and activities to ensure successful 
transitions of care and coordination.\327\ This measure promotes 
successful transitions of care for stroke patients discharged from 
acute care settings, as well as reduces short-term, preventable 
mortality rates. Patient outcomes depend on many aspects of care 
including communication between providers, prevention of and response 
to complications, patient safety, and coordinated transitions to the 
outpatient and rehabilitation care settings. The proposed modifications 
to the measure would better reflect overall patient outcomes in each 
hospital and inform quality improvement activities.
---------------------------------------------------------------------------

    \327\ Centers for Medicare & Medicaid Services. (2025). Cascade 
of Meaningful Measures. Available at: https://www.cms.gov/medicare/quality/cms-national-quality-strategy/cascade-measures.
---------------------------------------------------------------------------

    We propose to implement these changes beginning with the FY 2027 
payment determination. The proposed new reporting period for the 
measure for the FY 2027 payment determination would be changed from 
July 1, 2022, through June 30, 2025, to July 1, 2023, through June 30, 
2025.
(3) Technical Updates
    We are also making two technical updates beginning with the FY 2027 
payment determination. Specifically, the technical updates to the 
measure include: (1) updating the risk adjustment model to use 
individual International Classification of Diseases (ICD-10) codes 
instead of Hierarchical Condition Categories (HCCs) to improve the 
measure's risk adjustment methodology; and (2) removing the exclusion 
of patients with a secondary diagnosis code of COVID-19 coded as 
present on admission on the index admission claim. We refer readers to 
section X.C.5. of the preamble of this proposed rule for further 
discussion on removal of the COVID-19 diagnosis

[[Page 18330]]

exclusion to measures in the Hospital IQR Program.
    We are updating the measure's risk adjustment methodology to use 
individual ICD-10 codes. The current risk adjustment strategy for this 
measure involves grouping ICD-10 diagnosis codes from CMS's HCC system 
into clinically relevant categories. Then we evaluate the HCCs for 
statistical association with the measure's outcome.\328\ However, 
research has indicated that using individual ICD-10 codes in place of 
HCCs could significantly improve the model performance of the mortality 
measures.\329\ To better leverage the data and analytical advances 
since the measure was initially developed, we created a new approach to 
use individual ICD-10 codes for risk adjustment instead of grouping 
them into categories. With this new approach, the ability of the risk 
adjustment model to account for stroke severity was significantly 
better (c-statistic improved from 0.79 to 0.91).\330\ We did not adjust 
for social risk variables in the measure as neither of the two social 
risk factors tested (Area Deprivation Index and dual eligibility) 
showed significant effect. Given these findings and the complex 
pathways that could explain any relationship between social risk and 
mortality/complications, we chose not to adjust the measure for social 
risk.\331\
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    \328\ Centers for Medicare & Medicaid Services. 2024 Condition-
Specific Measure Updates and Specifications Report. Available at: 
https://qualitynet.cms.gov/inpatient/measures/mortality/methodology.
    \329\ Krumholz, H.M., Coppi, A.C., Warner, F., Triche, E.W., Li, 
S.X., Mahajan, S., Li, Y., Bernheim, S.M., Grady, J., Dorsey, K., 
Lin, Z., & Normand, S.T. (2019). Comparative Effectiveness of New 
Approaches to Improve Mortality Risk Models From Medicare Claims 
Data. JAMA network open, 2(7), e197314. https://doi.org/10.1001/jamanetworkopen.2019.7314.
    \330\ Yale New Haven Health Services Corporation--Center for 
Outcomes Research and Evaluation. (March 2024). 2024 Supplemental 
Measure Methodology: Condition-and Procedure-Specific Mortality/
Complications. Available at: https://p4qm.org/measures/4595.
    \331\ Ibid.
---------------------------------------------------------------------------

    For measure specification details on the updates to this measure, 
we refer readers to the 2024 Condition-Specific Measure Updates and 
Specifications Report available at: https://qualitynet.cms.gov/inpatient/measures/mortality/methodology.
(4) Measure Calculation
    The proposed modified MORT-30-STK measure would continue to measure 
30-day, all-cause mortality. We define mortality as death from any 
cause within 30 days of the start of the index admission for patients 
discharged from the hospital with a principal discharge diagnosis of 
acute ischemic stroke. The cohort for the modified measure would 
include admissions for patients ages 65 years or older discharged from 
the hospital with a principal diagnosis of acute ischemic stroke, who 
were enrolled in Medicare FFS or MA for the 12 months prior to the date 
of admission, as well as enrolled in Medicare FFS or MA during the 
index admission.
    The proposed updates to the measure exclude all of the following 
admissions from its cohort:
     Patients with inconsistent or unknown vital status, or 
other unreliable demographic data (for example, age and gender).
     Patients who were transferred from another acute care 
facility.
     Patients enrolled in the Medicare hospice program any time 
in the 12 months prior to the index hospitalization.
     Patients who were discharged against medical advice.
    If a patient has more than one eligible stroke hospitalization 
during the reporting period, then we randomly select one index 
admission for inclusion in the cohort and exclude the other admissions 
within that reporting period.\332\ The measure currently adjusts for 
factors including age, comorbidities, indications of patient frailty, 
and stroke severity upon admission when comparing a patient's risk of 
death at each facility.\333\
---------------------------------------------------------------------------

    \332\ Centers for Medicare & Medicaid Services. (2024). 2024 
Measures Under Consideration (MUC) List. Available at: https://mmshub.cms.gov/measure-lifecycle/measure-implementation/pre-rulemaking/lists-and-reports.
    \333\ Centers for Medicare & Medicaid Services. (April 2024). 
2024 Condition-Specific Measure Updates and Specifications Report: 
AMI, HF, COPD, Pneumonia, and Stroke Mortality. Available at: 
https://qualitynet.cms.gov/inpatient/measures/mortality/methodology.
---------------------------------------------------------------------------

    The proposed modifications to the MORT-30-STK measure would still 
be calculated using a risk-standardized mortality rate. This is 
calculated by first determining the ratio of the number of predicted 
deaths to the number of expected deaths and then multiplying the ratio 
by the national unadjusted mortality rate. The ratio is greater than 
one for hospitals that have more deaths than would be expected for an 
average hospital with similar cases and less than one if the hospital 
has fewer deaths than would be expected for an average hospital with 
similar cases. This approach is analogous to a ratio of an ``observed'' 
or ``crude'' rate to an ``expected'' or risk-adjusted rate used in 
other similar types of statistical analyses. It allows for a comparison 
of a particular hospital's performance to an average hospital's 
performance with the same case mix.
    We propose to expand the applicable population to include MA 
patients ages 65 years or older in addition to Medicare FFS patients 
ages 65 years or older. Inclusion of MA beneficiaries has important 
benefits for the reliability and validity of the measure. The 
combination of MA beneficiaries with Medicare FFS beneficiaries 
significantly increases the size of the measure's cohort, which 
enhances the reliability of the measure scores, leading to more 
hospitals receiving results and increasing the chance of identifying 
meaningful differences in quality for some low-volume hospitals. With 
the improvements to the measure reliability, we propose to shorten the 
MORT-30-STK measure reporting period from 3 to 2 years. Based on our 
analysis that included MA patients in addition to the existing MORT-30-
STK measure cohort, we found that the measure could achieve a 
satisfactory level of reliability with a two-year reporting period. The 
median reliability for the two-year performance period is 0.911, 
ranging from 0.623 to 0.994.\334\ Shortening the reporting period would 
allow measure results to reflect more recent hospital performance, and 
therefore provide more actionable insights for quality improvement.
---------------------------------------------------------------------------

    \334\ Yale New Haven Health Services Corporation--Center for 
Outcomes Research and Evaluation. (March 2024). 2024 Supplemental 
Measure Methodology: Condition-and Procedure-Specific Mortality/
Complications. Available at: https://p4qm.org/measures/4595.
---------------------------------------------------------------------------

    For more information regarding the proposed modifications to the 
MORT-30-STK measure specifications, we refer readers to the 2024 
Condition-Specific Measure Updates and Specifications Report available 
at: https://qualitynet.cms.gov/inpatient/measures/mortality/methodology.
(5) Pre-Rulemaking Process and Measure Endorsement
(a) Recommendation From the Pre-Rulemaking Measure Review (PRMR) 
Process
    We refer readers to the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69457 through 69458) for details on the PRMR process, including the 
voting procedures used to reach consensus on measure recommendations. 
The PRMR Hospital Committee met on January 15 and 16, 2025, to review 
measures included by the Secretary on the publicly available ``2024 
Measures Under Consideration List'' (MUC List), including the MORT-30-
STK measure

[[Page 18331]]

(MUC2024-043),335 336 and provided a recommendation on the 
potential use of this measure in the Hospital IQR Program.
---------------------------------------------------------------------------

    \335\ Centers for Medicare & Medicaid Services. (2024). 2024 
Measures Under Consideration (MUC) List. Available at: https://mmshub.cms.gov/measure-lifecycle/measure-implementation/pre-rulemaking/lists-and-reports.
    \336\ Centers for Medicare & Medicaid Services. (2024). 2024 
Overview of the List of Measures Under Consideration. Available at: 
https://mmshub.cms.gov/measure-lifecycle/measure-implementation/pre-rulemaking/lists-and-reports.
---------------------------------------------------------------------------

    The voting results of the PRMR Hospital Recommendation Committee 
for the proposed updates to the MORT-30-STK measure within the Hospital 
IQR Program were: 18 committee members recommended adopting the measure 
into the Hospital IQR Program without conditions; 7 committee members 
recommended adoption with conditions; 1 committee member voted not to 
recommend the measure for adoption.\337\ Taken together, 96 percent of 
the votes were to recommend with conditions. Thus, the committee 
reached consensus and recommended the updates to the MORT-30-STK 
measure within the Hospital IQR Program with conditions.\338\
---------------------------------------------------------------------------

    \337\ Battelle--Partnership for Quality Measurement. (February 
2025). 2024-2025 Pre-Rulemaking Measure Review (PRMR) 
Recommendations Report. Available at: https://p4qm.org/sites/default/files/2025-02/PRMR-2024-2025-MUC-Recommendations-Report-Final.pdf.
    \338\ Ibid.
---------------------------------------------------------------------------

    The conditions that the committee recommended were: (1) CBE 
endorsement; (2) CMS consider restructuring the measure to reduce the 
time lag and provide hospitals with more timely and useful data; and 
(3) CMS consider adding risk stratification for pre-existing do-not-
resuscitate orders.\339\ As discussed later in this section, the CBE 
voted to endorse the measure and therefore the first condition has been 
met. Regarding the second condition to reduce the reporting period, we 
propose to update the MORT-30-STK measure to shorten the reporting 
period from 3 to 2 years, which our current analysis shows is the 
shortest reporting period for which the results remain reliable and 
valid, and which significantly improves the timeliness of the data for 
this measure.
---------------------------------------------------------------------------

    \339\ Ibid.
---------------------------------------------------------------------------

    We also acknowledge the condition related to stratification of pre-
existing do-not-resuscitate orders and will consider making this change 
in future updates to the measure, if our monitoring and evaluation of 
the measure demonstrate this stratification would be beneficial. We 
propose to adopt modifications to the MORT-30-STK measure in the 
Hospital IQR Program having taken into consideration the conditions 
raised by the PRMR Hospital Committee.
(b) Measure Endorsement
    We refer readers to the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69458 through 69459) for details on the measure endorsement and 
maintenance (E&M) process, including the measure evaluation procedures 
the E&M Committees use to evaluate measures and whether they meet 
endorsement criteria. The measure developer submitted the MORT-30-STK 
measure to the CBE in 2016 but it was not endorsed because the measure 
was not risk adjusted for stroke severity. When the measure developer 
submitted the measure to the CBE in 2021, the CBE did not endorse the 
measure because the committee did not reach consensus on whether in-
hospital stroke mortality is an appropriate measure of quality and if 
there was sufficient evidence that clinical actions could be performed 
to reduce stroke mortality. The measure developer submitted the measure 
(CBE #4595) for endorsement again for the Fall 2024 cycle, which 
reflects the proposed modifications in the measure.\340\ The CBE voted 
to endorse the measure on February 7, 2025.\341\
---------------------------------------------------------------------------

    \340\ Battelle--Partnership for Quality Measurement. Hospital 
30-Day, All-Cause, Risk-Standardized Mortality Rate (RSMR) Following 
Acute Ischemic Stroke Hospitalization with Claims-Based Risk 
Adjustment for Stroke Severity. Available at: https://p4qm.org/measures/4595.
    \341\ Battelle--Partnership for Quality Measurement. (2025). 
Fall 2024 Endorsement Summary Report. This report will be available 
through this link: https://p4qm.org/EM/news-events.
---------------------------------------------------------------------------

(6) Data Sources, Submission, and Public Reporting
    This measure is calculated using administrative claims data 
routinely generated and submitted to CMS for all Medicare 
beneficiaries, which includes MA and Medicare FFS beneficiaries. 
Therefore, hospitals would not be required to report any additional 
data for this measure. We propose to add MA encounter data to the 
measure calculation in order to calculate measure results that include 
those patients. The MORT-30-STK measure would be calculated and 
publicly reported on an annual basis using a rolling 24 months of prior 
data for the measurement period, consistent with the approach currently 
used for the Thirty-day Risk-Standardized Death Rate Among Surgical 
Inpatients with Complications measure (89 FR 69545 through 69552) and 
the CMS Patient Safety and Adverse Events Composite (PSI 90) measure, 
currently reported in the Hospital-Acquired Condition (HAC) Reduction 
Program (78 FR 50712 through 50718). We would then publicly report 
measure results on the Compare tool, currently available at: https://www.medicare.gov/care-compare, beginning in July 2026 or as soon as 
feasible.
    We invite public comment on our proposal to modify the MORT-30-STK 
measure beginning with the FY 2027 payment determination.
b. Proposed Modification to the Hospital-Level, Risk-Standardized 
Complication Rate Following Elective Primary Total Hip Arthroplasty 
(THA) and/or Total Knee Arthroplasty (TKA) Measure Beginning With the 
FY 2027 Payment Determination
(1) Background
    THA and TKA are commonly performed procedures for the Medicare 
population that improve quality of life.\342\ From April 1, 2018-March 
31, 2021, there were 563,236 THA and TKA procedures performed on 
Medicare FFS patients 65 years and older.\343\ By 2040, the number of 
THA procedures is projected to increase by 176 percent and the number 
of TKA procedures is projected to increase by 139 percent.\344\ While 
these procedures can dramatically improve a person's quality of life, 
they are costly. Based on projections of the annual demand for THA and 
TKA procedures, researchers estimate that Medicare expenditures on 
Total Joint Arthroplasty could climb to $50 billion by 2030.\345\ 
Complications such as joint infections and sepsis following elective 
THA and TKA

[[Page 18332]]

procedures are rare, but the results can be devastating. Evidence shows 
that periprosthetic joint infection rates following THA and TKA were 
1.9 percent (1.5 percent to 2.2 percent) and 1.5 percent (1.3 percent 
to 1.7 percent) following TKA and THA, respectively.\346\ From 2011 to 
2021, reported 30- and 90-day death rates following THA are 0.49 
percent and 0.47 percent, respectively.\347\ Rates for pulmonary 
embolism following THA range from 0.5 percent to 1.22 percent \348\ and 
range from 0.5 percent to 0.9 percent \349\ following TKA. Rates for 
wound infection in Medicare population-based studies vary between 0.21 
percent and 1.0 percent.\350\ Rates for sepsis/septicemia range from 
0.09 percent during the index admission to 0.3 percent 90 days 
following discharge for primary TKA. Rates for bleeding and hematoma 
following TKA range from 0.94 percent to 1.7 percent.\351\
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    \342\ Barahona M, Bustos F, Navarro T, Chamorro P, Barahona MA, 
Carvajal S, Bra[ntilde]es J, Hinzpeter J, Barrientos C, Infante C. 
Similar Patient Satisfaction and Quality of Life Improvement 
Achieved with TKA and THA According to the Goodman Scale: A 
Comparative Study. J Clin Med. 2023 Sep 21;12(18):6096. Available 
at: https://pubmed.ncbi.nlm.nih.gov/37763035/
#:~:text=Regarding%20improvement%20in%20quality%20of,lower%20satisfac
tion%20rates%20for%20TKA.
    \343\ 2022 Procedure-Specific Complication Measure Updates and 
Specifications Report: Elective Primary Total Hip Arthroplasty (THA) 
and/or Total Knee Arthroplasty (TKA). Available at: https://www.cms.gov/files/document/2022-measure-updates-procedure-specific-complication-measure-updates-and-specifications-report.pdf.
    \344\ Gupta, N, Turnow M, Doad, J. et al., Trends in 
Reimbursement for All Billable Total Joint Replacement Procedures: 
An Analysis of the Medicare Part B Database from 2013-2011. J. 
Orthop. Ex. & Inn. 2024; 5(2). https://doi.org/10.60118/001c.120219. 
Available at: https://journaloei.scholasticahq.com/article/120219-trends-in-reimbursement-for-all-billable-total-joint-replacement-procedures-an-analysis-of-the-medicare-part-b-database-from-2013-2021.
    \345\ Wilson, N.A., et al., Hip and knee implants: current 
trends and policy considerations. Health Aff (Millwood), 2008. 
27(6): p. 1587-98.
    \346\ Jin X, Gallego Luxan B, Hanly M, et al., Estimating 
Incidence Rates of Periprosthetic Joint Infection After Hip and Knee 
Arthroplasty for Osteoarthritis Using Linked Registry and 
Administrative Health Data. Bone Joint J. 2022; 104-B(9): 1060-1066. 
Available at: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9948458.
    \347\ Turan O, Pan X, Kunze KN, et al., 30-Day to 10-Year 
Mortality Rates Following Total Hip Arthroplasty: A meta-Analysis of 
the Last Decade. Hip Int. 2024; 34(1): 4-14. Available at: https://pubmed.ncbi.nlm.nih.gov/36705090.
    \348\ Arshi A, Leong NL, Wang C, Buser Z, Wang JC, SooHoo NF. 
Outpatient total hip arthroplasty in the United States: A 
population-based comparative analysis of complication rates. J Am 
Acad Orthop Surg. 2019;27(2):61-7.
    \349\ Khatod M, Inacio M, Paxton EW, et al. Knee replacement: 
epidemiology, outcomes, and trends in Southern California: 17,080 
replacements from 1995 through 2004. Acta Orthop. 2008;79(6):812-
819.
    \350\ Browne J, Cook C, Hofmann A, Bolognesi M. Postoperative 
morbidity and mortality following total knee arthroplasty with 
computer navigation. Knee. Mar 2010;17(2):152-156.
    \351\ Huddleston JI, Maloney WJ, Wang Y, Verzier N, Hunt DR, 
Herndon JH. Adverse Events After Total Knee Arthroplasty: A National 
Medicare Study. The Journal of Arthroplasty. 2009;24(6, Supplement 
1):95-100.
---------------------------------------------------------------------------

    The Hospital-Level, Risk-Standardized Complication Rate Following 
Elective Primary THA and or TKA measure (hereinafter referred to as the 
COMP-HIP-KNEE measure) was first adopted in the Hospital IQR Program in 
the FY 2013 IPPS/LTCH PPS final rule (77 FR 53516 through 53521). The 
measure estimates a hospital-level, risk-standardized complication rate 
associated with elective primary THA and/or TKA procedures. More 
recently, in the FY 2023 IPPS/LTCH PPS final rule (87 FR 49263 through 
49267), we adopted a re-evaluated COMP-HIP-KNEE measure into the 
Hospital IQR Program that included expanded outcomes. In the FY 2024 
IPPS/LTCH PPS final rule (88 FR 59067 through 59070), the re-evaluated 
COMP-HIP-KNEE measure was adopted in the Hospital VBP Program in 
accordance with statutory requirements of section 1886(o)(2)(C)(i) of 
the Act and 42 CFR 412.164(b), which state that measures must be 
publicly reported for 1 year in the Hospital IQR Program prior to the 
beginning of the performance period in the Hospital VBP Program. In 
that same final rule, we finalized removal of the re-evaluated COMP-
HIP-KNEE measure in the Hospital IQR Program beginning with the FY 2030 
payment determination to prevent duplicative reporting of the measure 
in a quality reporting program and value-based program, and to simplify 
administration of both programs (88 FR 59168 through 59170). The 
clinical outcomes of the COMP-HIP-KNEE measure are a high priority for 
CMS and this measure provides important data on patient safety and 
complications. We are therefore proposing modifications to the COMP-
HIP-KNEE measure in the Hospital IQR Program beginning with the FY 2027 
payment determination, prior to its removal from the Hospital IQR 
Program beginning with the FY 2030 payment determination (88 FR 59168 
through 59170). We refer readers to section VI.L.2.a. of the preamble 
of this proposed rule for more details on our proposal to adopt these 
same updates for the COMP-HIP-KNEE measure into the Hospital VBP 
Program beginning with the FY 2033 program year. If finalized, the 
proposed updated COMP-HIP-KNEE measure will have been publicly reported 
in the Hospital IQR Program for at least 1 year in accordance with 
statutory requirements before adoption into the Hospital VBP Program.
(2) Overview of Measure Updates
    We propose modifications to the current COMP-HIP-KNEE measure in 
the Hospital IQR Program beginning with the FY 2027 payment 
determination. Specifically, we propose to modify the COMP-HIP-KNEE 
measure with two substantive updates: (1) expand the measure's 
inclusion criteria to include MA patients; and (2) shorten the 
performance period from 3 years to 2 years. The addition of MA 
encounter data to the measure roughly doubles the cohort size, improves 
measure reliability, and more accurately reflects the quality of care 
for both Medicare FFS and MA beneficiaries. If finalized, we would 
remove the updated COMP-HIP-KNEE measure in the Hospital IQR Program 
beginning with the FY 2030 payment determination, as finalized in the 
FY 2024 IPPS/LTCH PPS final rule (88 FR 59168 through 59170), to 
prevent duplicative reporting of the measure in a quality reporting 
program and value-based program, and to simplify administration of both 
programs.
    The proposed modifications of the updated COMP-HIP-KNEE measure 
would support the Meaningful Measures 2.0 priority area of ``Chronic 
Conditions'' that aims to improve disease-specific outcomes, reduce 
preventable emergency department usage and admissions, and reduce 
mortality.\352\
---------------------------------------------------------------------------

    \352\ Centers for Medicare & Medicaid Services. (2025). Cascade 
of Meaningful Measures. Available at: https://www.cms.gov/medicare/quality/cms-national-quality-strategy/cascade-measures.
---------------------------------------------------------------------------

(3) Technical Updates
    We are also making two technical updates to the proposed updated 
COMP-HIP-KNEE measure. Specifically, technical updates to the measure 
include: (1) update the risk adjustment model to use individual ICD-10 
codes instead of HCCs to improve the measure's risk adjustment 
methodology; and (2) remove the exclusion of patients with a secondary 
diagnosis code of COVID-19 coded as present on admission on the index 
admission claim. We refer readers to section X.C.5. of the preamble of 
this proposed rule for further discussion on removal of the COVID-19 
diagnosis exclusion to measures in the Hospital IQR Program.
    We are updating the COMP-HIP-KNEE measure's risk-adjustment 
methodology to use individual ICD-10 codes using patient-level 
demographics (age), patient-level health status and clinical conditions 
(case-mix adjustment; severity of illness; comorbidities), and patient 
functional status (body function). These clinically relevant risk 
variables would be identified from inpatient and outpatient claims in 
the 12 months prior to the procedure. The current risk adjustment 
strategy for this measure involves grouping ICD-10 diagnosis codes from 
CMS's HCC system into clinically relevant categories. Then we evaluate 
the HCCs for statistical association with the measure's outcome.\353\ 
However, research has indicated that using individual ICD codes in 
place of HCCs could significantly improve the model performance of the 
mortality measures.\354\ To better leverage the data

[[Page 18333]]

and analytical advances since the measure was initially developed, we 
created a new approach to use individual ICD-10 codes for risk 
adjustment instead of grouping them into categories. With this new 
approach, the discriminative performance of the risk adjustment model 
as measured by c-statistic was significantly better and the calibration 
performance also proved to be satisfactory.\355\ We did not adjust for 
social risk variables in the measure as neither of the two social risk 
factors tested (Area Deprivation Index and dual eligibility) showed 
significant effect. Given these findings and the complex pathways that 
could explain any relationship between social risk and mortality/
complications, we chose not to adjust the measure for social risk.
---------------------------------------------------------------------------

    \353\ Centers for Medicare & Medicaid Services. 2024 Condition-
Specific Measure Updates and Specifications Report. Available at: 
https://qualitynet.cms.gov/inpatient/measures/complication/methodology.
    \354\ Krumholz, H.M., Coppi, A.C., Warner, F., Triche, E.W., Li, 
S.X., Mahajan, S., Li, Y., Bernheim, S.M., Grady, J., Dorsey, K., 
Lin, Z., & Normand, S.T. (2019). Comparative Effectiveness of New 
Approaches to Improve Mortality Risk Models From Medicare Claims 
Data. JAMA network open, 2(7), e197314. https://doi.org/10.1001/jamanetworkopen.2019.7314.
    \355\ Battelle--Partnership for Quality Measurement. (February 
2025). 2024-2025 Pre-Rulemaking Measure Review (PRMR) 
Recommendations Report. Available at: https://p4qm.org/sites/default/files/2025-02/PRMR-2024-2025-MUC-Recommendations-Report-Final.pdf.
---------------------------------------------------------------------------

    For measure specification details on the updates to this measure, 
we refer readers to the Measure Methodology Report in the Hip and Knee 
Arthroplasty Complications (ZIP) folder on the QualityNet website, 
available at: https://qualitynet.cms.gov/inpatient/measures/complication/methodology.
(4) Measure Calculation
    The outcome for the proposed updated COMP-HIP-KNEE measure would be 
a complication occurring during the index admission (not coded as 
present on admission) through 90 days post-date of the index admission. 
Complications are counted in the measure only if they occur during the 
index hospital admission or during a readmission. The complication 
outcome is a dichotomous (yes/no) outcome. If a patient experiences one 
or more of these complications in the applicable period, the 
complication outcome for that patient would be counted in the measure 
as a ``yes''.
    The proposed updated measure includes one of the following 
complications:
     Acute myocardial infarction during the index admission or 
a subsequent inpatient admission that occurs within 7 days from the 
start of the index admission.
     Pneumonia or other acute respiratory complication during 
the index admission or a subsequent inpatient admission that occurs 
within 7 days from the start of the index admission.
     Sepsis/septicemia/shock during the index admission or a 
subsequent inpatient admission that occurs within 7 days from the start 
of the index admission.
     Surgical site bleeding or other surgical site complication 
during the index admission or a subsequent inpatient admission within 
30 days from the start of the index admission.
     Pulmonary embolism during the index admission or a 
subsequent inpatient admission within 30 days from the start of the 
index admission.
     Death during the index admission within 30 days from the 
start of the index admission or within 30 days from the start of the 
index admission.
     Mechanical complication during the index admission or a 
subsequent inpatient admission that occurs within 90 days from the 
start of the index admission.
     Periprosthetic joint infection/wound infection or other 
wound complication during the index admission or a subsequent inpatient 
admission that occurs within 90 days from the start of the index 
admission.
    The code list used to define the mechanical complication outcome 
includes clinically vetted mechanical complication ICD-10 codes. For a 
full list of these codes, we refer readers to the FY 2023 IPPS/LTCH PPS 
final rule (87 FR 49264).
    We propose to expand the COMP-HIP-KNEE measure cohort to include 
both Medicare FFS and MA beneficiaries, aged 65 years or older, having 
a qualifying elective primary THA or TKA procedure during the index 
admission. Beneficiaries must be enrolled in Medicare FFS or MA for the 
12 months prior to the date of admission and enrolled in Medicare FFS 
or MA during the index admission. Our analysis found that the addition 
of MA admissions into the COMP-HIP-KNEE measure approximately doubled 
the admissions in the cohorts and led to improved measure reliability 
and more hospitals and beneficiaries included for measure 
calculation.\356\ Based on the results of that analysis, we found that 
the measure could achieve a satisfactory level of reliability (median 
reliability score 0.801, ranging from 0.560 to 0.997, with the 25th and 
75th percentiles 0.683 and 0.891, respectively) with a 2-year reporting 
period and are therefore proposing to shorten the reporting period from 
3 to 2 years.\357\ This median reliability estimate exceeds the 
reliability of 0.6, which the CBE considers acceptable. Shortening the 
reporting period would allow measure results to reflect more recent 
hospital performance and, therefore, provide more actionable insights 
for quality improvement.
---------------------------------------------------------------------------

    \356\ Yale New Haven Health Services Corporation--Center for 
Outcomes Research and Evaluation. (March 2024). 2024 Supplemental 
Measure Methodology: Condition[hyphen]and Procedure[hyphen]Specific 
Mortality/Complications. Available at: https://p4qm.org/measures/1550.
    \357\ Ibid.
---------------------------------------------------------------------------

    Consistent with the COMP-HIP-KNEE measure currently reported in the 
Hospital IQR Program, the proposed update to the COMP-HIP-KNEE measure 
would exclude patients from the measure cohort index admissions for 
patients who did not have at least 90 days post-discharge enrollment in 
Medicare FFS or MA, who were discharged against medical advice, or who 
had more than two THA/TKA procedure codes during the index 
hospitalization.\358\
---------------------------------------------------------------------------

    \358\ Battelle--Partnership for Quality Measurement. Hospital-
level, risk-standardized complication rate (RSCR) following elective 
primary total hip arthroplasty (THA) and/or total knee arthroplasty 
(TKA) Measure Specifications. Available at: https://p4qm.org/measures/1550.
---------------------------------------------------------------------------

    The proposed modifications to the COMP-HIP-KNEE measure would still 
be calculated using a hospital risk-standardized complication rate by 
producing a ratio of the number of ``predicted'' complications (that 
is, the adjusted number of complications at a specific hospital based 
on its patient population) to the number of ``expected'' complications 
(that is, the number of complications if an average quality hospital 
treated the same patients) for each hospital and then multiplying the 
ratio by the national observed complication rate. For each hospital, 
the numerator of the ratio is the number of complications within the 
specified time period (up to 90 days) predicted on the basis of the 
hospital's performance with its observed case mix, and the denominator 
is the number of complications expected based on the Nation's 
performance with that hospital's case mix. This approach is analogous 
to a ratio of ``observed'' to ``expected'' used in other types of 
statistical analyses. It would allow for a comparison of a particular 
hospital's performance to an average hospital's performance with the 
same case mix.
    For measure specification details on the updates to this measure, 
we refer readers to the Measure Methodology Report in the Hip and Knee 
Arthroplasty Complications (ZIP) folder on the QualityNet website, 
available at: https://qualitynet.cms.gov/inpatient/measures/complication/methodology.

[[Page 18334]]

(5) Pre-Rulemaking Process and Measure Endorsement
(a) Recommendation From the Pre-Rulemaking Measure Review (PRMR) 
Process
    We refer readers to the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69457 through 69458) for details on the PRMR process including the 
voting procedures used to reach consensus on measure recommendations. 
The PRMR Hospital Committee met on January 15 and 16, 2025, to review 
measures included by the Secretary on the publicly available 2024 
Measures Under Consideration (MUC) List, including the COMP-HIP-KNEE 
measure (MUC2024-042),\359\ and to vote on a recommendation regarding 
use of this measure in the Hospital IQR Program.
---------------------------------------------------------------------------

    \359\ Centers for Medicare & Medicaid Services. (2024). 2024 
Measures Under Consideration (MUC) List. Available at: https://mmshub.cms.gov/measure-lifecycle/measure-implementation/pre-rulemaking/lists-and-reports.
---------------------------------------------------------------------------

    The PRMR Hospital Recommendation Committee reached consensus and 
voted to recommend this measure for the Hospital IQR Program with 
conditions.\360\ Eighteen of 27 members of the committee recommended 
adopting the measure into the Hospital IQR Program without conditions; 
8 members of the committee recommended adoption with conditions; 1 
member of the committee did not recommend this measure for adoption. 
Taken together, 96 percent of the votes were to recommend this measure 
for the Hospital IQR Program with conditions. Thus, the committee 
reached consensus and recommended the updated COMP-HIP-KNEE measure for 
adoption into the Hospital IQR Program with conditions.\361\
---------------------------------------------------------------------------

    \360\ Battelle--Partnership for Quality Measurement. (February 
2025). 2024-2025 Pre-Rulemaking Measure Review (PRMR) 
Recommendations Report. Available at: https://p4qm.org/sites/default/files/2025-02/PRMR-2024-2025-MUC-Recommendations-Report-Final.pdf.
    \361\ Ibid.
---------------------------------------------------------------------------

    The committee supported this measure, particularly with the 
addition of MA data to improve statistical reliability and make the 
measure more relevant for rural areas, with a call for transparency and 
analytical rigor to understand the impact of additional MA data. The 
committee raised concerns regarding the potentially uneven distribution 
of MA program participation, the shifting of benchmarks with new MA 
beneficiaries, and the implications of surgical procedures moving to 
ambulatory care settings which may leave more complex patients in 
inpatient facilities. Thus, the committee members submitted the 
following conditions for recommendations into the Hospital IQR Program: 
(1) stratified reporting; (2) providing hospitals with feedback on 
outcome variations between MA beneficiaries and Medicare Shared Savings 
Program (MSSP) populations; (3) breaking down performance data by 
payer; (4) re-evaluating the risk model as the measure matures to 
identify any adjustments needed for variation at the patient level 
across plans; and (5) considering if the reporting period is sufficient 
to avoid time lags that may hinder data usefulness and measure 
improvement.\362\
---------------------------------------------------------------------------

    \362\ Ibid.
---------------------------------------------------------------------------

    In response to concerns about uneven distributions among MA and 
Medicare FFS beneficiaries, based on our analysis, the observed 
complication rate for MA beneficiaries was 3.7 percent, 3.2 percent 
among Medicare FFS beneficiaries only, and 3.4 percent complication 
rate for MA and Medicare FFS beneficiaries, showing a difference of -
0.5 percent between Medicare FFS only and MA only beneficiaries.\363\ 
Thus, the variation between the two cohorts did not vary significantly 
for complication rates and does not raise concerns regarding uneven 
distribution of two cohorts for this measure. In regard to providing 
hospitals with stratified reporting results, we note that hospitals 
currently receive confidential feedback reports containing details on 
measure results, but they do not stratify results by payer. We will 
consider providing additional confidential feedback to hospitals in the 
future, including results stratified by MA and Medicare FFS 
beneficiaries. Regarding evaluating the risk adjustment model, as a 
part of routine measure maintenance, we conduct ongoing monitoring and 
evaluation analyses to watch for any unintended consequences. Regarding 
the condition related to lag time between performance and when results 
are received, one of the proposed updates is to shorten the reporting 
period from 3 to 2 years, which our current analysis shows is the 
shortest reporting period for which the results remain reliable and 
valid and which significantly improves the timeliness of the data for 
this measure. However, we will continue to analyze measure results and 
if the evidence shows that a reporting period that is shorter than 2 
years produces valid and reliable measure results, we will consider 
proposing to adopt that shorter reporting period in the future. After 
taking these recommendations and concerns into consideration, we 
propose to adopt the updated COMP-HIP-KNEE measure in the Hospital IQR 
Program.
---------------------------------------------------------------------------

    \363\ Yale New Haven Health Services Corporation--Center for 
Outcomes Research and Evaluation. (March 2024). 2024 Supplemental 
Measure Methodology: Condition-and Procedure-Specific Mortality/
Complications. Available at: https://p4qm.org/measures/1550.
---------------------------------------------------------------------------

(b) Measure Endorsement
    We refer readers to the FY 2025 IPPS/LTCH PPS final rule (89 FR 89 
FR 69458 through 69459) for details on the E&M process including the 
procedures the CBE's E&M Committees use to evaluate measures and 
determine whether they meet endorsement criteria. The COMP-HIP-KNEE 
measure (CBE #1550) was reviewed by the CBE in the Fall 2020 cycle, and 
was re-endorsed July 2021.\364\ The COMP-HIP-KNEE measure was most 
recently submitted to the CBE's E&M Cost and Efficiency Committee in 
the Fall 2024 E&M review cycle, which included the modifications we 
propose to adopt in this proposed rule as well as the technical updates 
to the risk methodology. The E&M Cost and Efficiency Committee voted, 
and did not reach consensus on this measure on February 10, 
2025.365 366 Per the current CBE, consensus is reached when 
75 percent of the committee vote to endorse, endorse with conditions, 
or remove endorsement or the combination of endorse and endorse with 
conditions reach 75 percent. Thus, with the combination of endorse and 
endorse with conditions only reaching 73 percent the measure was not 
re-endorsed by the CBE.367 368 The measure developer 
submitted an appeal for the endorsement decision with the following 
rationale: (1) procedural error in the endorsement process with an 
excessive focus on outpatient setting exclusions; and (2) 
misapplication of

[[Page 18335]]

measure evaluation criteria, particularly risk adjustment.\369\ The CBE 
convened the E&M Fall 2024 appeals committee meeting on March 31, 2025, 
where the committee voted on whether to uphold the appeals request 
based on the rationale. The committee voted to uphold the appeals 
request, with a vote of 100 percent for both rationales, thereby 
overturning the endorsement decision of non-consensus. Thus, the COMP-
HIP-KNEE measure was endorsed with conditions. The two conditions for 
endorsement were: (1) explore the proportion of procedures done in the 
ambulatory surgical centers and hospital outpatient department setting 
and evaluate the need for adjustment based on the impact of case mix; 
and (2) explore additional approaches to the reliability assessment to 
account for low-volume facilities.
---------------------------------------------------------------------------

    \364\ Battelle--Partnership for Quality Measurement. Hospital-
level, risk-standardized complication rate (RSCR) following elective 
primary total hip arthroplasty (THA) and/or total knee arthroplasty 
(TKA) Measure Specifications. Available at: https://p4qm.org/measures/1550.
    \365\ Battelle--Partnership for Quality Measurement. (2025). 
Fall 2024 Endorsement Summary Report. This report will be available 
through this link: https://p4qm.org/projects/cost-and-efficiency.
    \366\ Battelle--Partnership for Quality Measurement. (2025). 
Fall 2024 Endorsement Summary Report. This report will be available 
through this link: https://p4qm.org/EM/news-events.
    \367\ Battelle--Partnership for Quality Measurement. Hospital-
level, risk- standardized complication rate (RSCR) following 
elective primary total hip arthroplasty (THA) and/or total knee 
arthroplasty (TKA) Measure Specifications. Available at: https://p4qm.org/measures/1550.
    \368\ Battelle--Partnership for Quality Measurement. (July 
2024). Endorsement and Maintenance (E&M) Guidebook. Available at: 
https://p4qm.org/sites/default/files/2024-08/Del-3-6-Endorsement-and-Maintenance-Guidebook-Final_0.pdf.
    \369\ Battelle--Partnership for Quality Measurement. (2025). E&M 
Fall 2024 Appeals Committee Meeting Summary Report. This report will 
be available through this link: https://p4qm.org/EM/news-events.
---------------------------------------------------------------------------

    Regarding the first criteria, to evaluate the need for adjustments 
based on case mix of patients, we note that this measure focuses on 
higher-risk patients and is intentionally narrow to capture significant 
complications, such as sepsis, pulmonary embolism, or a second surgery 
which should be treated in the inpatient setting. We wish to emphasize 
that those having elective THA or TKA procedures within the inpatient 
setting must meet certain criteria, resulting in a smaller cohort of 
patients, and in communities where there are no ambulatory care centers 
the patient would be treated in the hospital outpatient department and 
would not be counted in this measure. Regarding the second condition 
for endorsement, to explore additional approaches to the reliability 
assessment to account for low-volume facilities, we emphasize that the 
goal of this measure and adjusting for low-volume is to make 
performance scores available for as many providers as possible while 
trying to avoid misclassification or profiling of providers. We note 
that scores are not available for facilities with fewer than 25 cases, 
because the number of cases may be too small for meaningful results. 
Based on our evaluation of the endorsement criteria, these conditions 
have been met, and therefore, we consider this measure endorsed.
(6) Data Source, Submission and Public Reporting
    The proposed updated COMP-HIP-KNEE measure would use index 
admission diagnoses and in-hospital comorbidity data from Medicare FFS 
claims or MA claims/encounters, or both. Additional comorbidities prior 
to the index admission are assessed using Part A inpatient, outpatient, 
and Part B office visit Medicare FFS claims and MA encounters in the 12 
months prior to index (initial) admission. Enrollment status would be 
obtained from the Medicare Enrollment Database which contains 
beneficiary demographic, benefit/coverage, and vital status 
information. This measure uses readily available administrative claims 
data routinely generated and submitted to CMS for all Medicare 
beneficiaries, which includes Medicare Advantage and Medicare FFS 
beneficiaries. The updated COMP-HIP-KNEE measure would be calculated 
and publicly reported on an annual basis using a rolling 24 months of 
prior data for the measurement period, consistent with the approach 
currently used for the Thirty-day Risk-Standardized Death Rate among 
Surgical Inpatients with Complications (89 FR 69545 through 69552) and 
CMS Patient Safety and Adverse Events Composite (PSI 90) measure, 
currently reported in the HAC Reduction Program (78 FR 50712 through 
50718). As a claims-based measure, hospitals would not be required to 
submit data other than claims data, which we would use to calculate the 
measure. We are also proposing to adopt the modifications to the COMP-
HIP-KNEE measure in the Hospital VBP Program in section VI.L.2.a. of 
the preamble of this proposed rule, beginning with the FY 2033 program 
year, after the updated measure has been publicly reported in the 
Hospital IQR Program for one year. Table X.C.1. summarizes the 
timelines for the current and proposed reporting of the COMP-HIP-KNEE 
measure in the Hospital IQR and VBP Programs.

 Table X.C.1--Summary of Current and Proposed Reporting of the COMP-HIP-
            KNEE Measure in the Hospital IQR and VBP Programs
------------------------------------------------------------------------
                                        Version of measure in use
  In payment year or program   -----------------------------------------
         year impacted                                    Hospital VBP
                                 Hospital IQR Program        Program
------------------------------------------------------------------------
FY 2026.......................  Modification 1          Original.\2\
                                 (Additional outcomes
                                 added) \1\.
FY 2027.......................  Modification 2 (Add MA  Original.
                                 patients, shorten
                                 performance period)
                                 \3\.
FY 2028.......................  Modification 2........  Original.
FY 2029.......................  Modification 2........  Original.
FY 2030.......................  N/A...................  Modification 1.
FY 2031.......................  N/A...................  Modification 1.
FY 2032.......................  N/A...................  Modification 1.
FY 2033 and Subsequent Years..  N/A...................  Modification 2.
------------------------------------------------------------------------
\1\ Modification 1 was finalized in the FY 2024 IPPS/LTCH PPS final
  rule.
\2\ Original version of the measure was finalized in the FY 2015 IPPS/
  LTCH PPS final rule.
\3\ Modification 2 is being proposed in this section of the proposed
  rule.

    We propose to publicly report the updated COMP-HIP-KNEE measure in 
accordance with our previously established public reporting policy for 
the Hospital IQR Program.\370\ Such reporting would be undertaken on 
the Compare tool available at: https://www.medicare.gov/care-compare, 
or its successor website, beginning in July 2026 or as soon as 
feasible.
---------------------------------------------------------------------------

    \370\ See the FY 2025 IPPS/LTCH PPS final rule (89 FR 69577) for 
a brief overview of public display requirements under the Hospital 
IQR Program and our current public reporting policy.
---------------------------------------------------------------------------

    We invite public comment on our proposal to adopt the updated COMP-
HIP-KNEE measure into the Hospital IQR Program beginning with 
administrative claims and encounter data from April 1, 2023, through 
March 31, 2025, associated with the FY 2027 payment determination.

[[Page 18336]]

4. Proposed Removals in the Hospital IQR Program Measure Set
    We propose to remove four measures: (1) Hospital Commitment to 
Health Equity measure beginning with the CY 2024 reporting period/FY 
2026 payment determination; (2) COVID-19 Vaccination Coverage among 
Healthcare Personnel measure beginning with the CY 2024 reporting 
period/FY 2026 payment determination; (3) Screening for Social Drivers 
of Health measure beginning with the CY 2024 reporting period/FY 2026 
payment determination; and (4) Screen Positive Rate for Social Drivers 
of Health measure beginning with the CY 2024 reporting period/FY 2026 
payment determination. We provide more details on each of these 
proposals in the subsequent sections.
a. Proposed Removal of the Hospital Commitment to Health Equity Measure 
Beginning With the CY 2024 Reporting Period/FY 2026 Payment 
Determination
    We refer readers to the FY 2023 IPPS/LTCH PPS final rule where we 
adopted the Hospital Commitment to Health Equity (hereafter referred to 
as HCHE) measure into the Hospital IQR Program (87 FR 49191 through 
49201). We propose to remove the HCHE measure beginning with the FY 
2026 payment determination due to the costs associated with achieving a 
high score on the measure outweighing the benefit of its continued use 
in the program. When adopted, we intended the collection of data 
described in the five domains of this measure to provide hospital 
leadership with meaningful and actionable health data to drive quality 
improvements to eliminate health disparities. Based on feedback 
received from hospitals as well as a re-focus on clinical outcome 
measures, for which the HCHE measure, as a structural measure, does not 
directly measure clinical outcomes, the burden of collecting this 
measure may outweigh the benefits. Removal of this measure would 
alleviate an estimated annual burden of approximately 525 hours, at a 
cost of $22,260, across all participating IPPS hospitals (87 FR 49385).
    One of the goals of the Hospital IQR Program is to move forward in 
the least burdensome manner possible, while maintaining a parsimonious 
set of the most meaningful quality measures and continuing to 
incentivize improvement in the quality of care provided to patients. 
Removing this measure from the Hospital IQR Program is an effective way 
to accomplish this goal. Our priority is a re-focus on measurable 
clinical outcomes as well as identifying quality measures on topics of 
prevention, nutrition, and well-being, and as such we refer readers to 
our request for comment on ``Measure Concepts under Consideration for 
Future Years in the Hospital IQR Program-Request for Information (RFI): 
Well-Being and Nutrition'' in section X.C.2.a. The Hospital IQR Program 
continues to incentivize the improvement of care quality and health 
outcomes for all patients through measurement and transparency with 
other measures. It may be costly for hospitals to continue reporting on 
the HCHE measure and achieve high performance scores, and removal of 
this measure would make room both in the program's measure set to 
enhance the program's focus on measurable clinical outcomes and for 
hospital leadership to focus on other priority quality and safety 
areas. We acknowledge that some hospitals may have expended resources 
to implement some or all of the activities described in the HCHE 
measure attestation statements in order to be able to attest ``yes'' 
for measure reporting purposes, however, hospitals that had already 
implemented such activities prior to adoption of the measure would have 
been able to attest ``yes'' without expending similar resources.
    If finalized, hospitals that do not report their CY 2024 reporting 
period data for the HCHE measure to CMS would not be considered 
noncompliant with the measure for purposes of their FY 2026 payment 
determination (that is, hospitals that do not report CY 2024 reporting 
period data would not be penalized for FY 2026 payments due to this 
measure). Any HCHE measure data received by CMS would not be used for 
public reporting or payment purposes.
    If not finalized, hospitals that do not report their CY 2024 
reporting data for the HCHE measure to CMS would be considered 
noncompliant with the measure for their FY 2026 payment determination, 
and would receive a letter of noncompliance after August 1, 2025, at 
which time the required 30-day reconsideration period would begin. 
Payment adjustments would apply to FY 2026 payment determinations fee-
for-service claims as previously finalized.
    We invite public comment on our proposal to remove the HCHE measure 
from the Hospital IQR Program beginning with the FY 2026 payment 
determination.
b. Proposed Removal of the COVID-19 Vaccination Coverage Among 
Healthcare Personnel Measure Beginning With the CY 2024 Reporting 
Period/FY 2026 Payment Determination
    We refer readers to the FY 2022 IPPS/LTCH PPS final rule where we 
adopted the COVID-19 Vaccination Coverage among Healthcare Personnel 
(HCP) measure (hereafter referred to as HCP COVID-19 Vaccination 
measure) into the Hospital IQR Program (86 FR 45374 through 45382) and 
the FY 2024 IPPS/LTCH PPS final rule where we modified the HCP COVID-19 
Vaccination measure to account for updated vaccine guidance (88 FR 
59137 through 59144).
    We propose to remove the HCP COVID-19 Vaccination measure beginning 
with the CY 2024 reporting period/FY 2026 payment determination under 
removal Factor 8, the costs associated with a measure outweigh the 
benefit of its continued use in the program. We note that reporting on 
this measure currently requires reporting data on COVID-19 vaccination 
coverage among HCP for at least 1 week every month. This requires 
hospitals to track current vaccination status for all employees, 
licensed independent practitioners, adult students/trainers and 
volunteers and other contract personnel and log in to the National 
Healthcare Safety Network (NHSN) system to report the data monthly 
either manually in NHSN or by uploading a comma-separated value (CSV) 
file (86 FR 45377). The estimated burden of collecting this information 
annually across all 3,050 hospitals is between $1,378,600 and 
$1,608,570 annually. We refer readers to section XIII.B.4.e. of this 
proposed rule for more details on this estimated burden calculation.
    When we first adopted the HCP COVID-19 Vaccination measure, the 
U.S. was in a Public Health Emergency (PHE) with millions of cases and 
over 550,000 COVID-19 deaths (86 FR 45374). While preventing the spread 
of COVID-19 remains a public health goal, the PHE ended on May 11, 
2023.\371\ In addition, the number of deaths due to COVID-19 in the 
U.S. has decreased since the adoption of this measure. In March 2021, 
when this measure was being proposed, the United States was averaging 
over 5,000 deaths per week. In April 2023, the last full month of the 
PHE, weekly number of deaths due to COVID-19 averaged around 
1,300.\372\

[[Page 18337]]

With the end of the PHE and the decrease in COVID-19 deaths, we believe 
the continued costs and burden to providers of tracking and monthly 
reporting on this measure outweigh the benefit of continued information 
collection on COVID-19 vaccination coverage among HCP. As it may be 
costly for hospitals to continue to report on the HCP COVID-19 
Vaccination measure, removal of this measure would allow for the 
Hospital IQR Program to focus on goals such as clinical outcomes.
---------------------------------------------------------------------------

    \371\ https://www.hhs.gov/coronavirus/covid-19-public-health-emergency/index.html.
    \372\ Provisional COVID-19 Deaths, by Week, in The United 
States, Reported to CDC. Accessed on March 27, 2025, via https://covid.cdc.gov/covid-data-tracker/#trends_weeklydeaths_select_00.
---------------------------------------------------------------------------

    If finalized, hospitals that do not report their CY 2024 reporting 
period data for the HCP COVID-19 Vaccination measure to CMS would not 
be considered noncompliant with the measures for purposes of their FY 
2026 payment determination (that is, hospitals that do not report CY 
2024 reporting period data would not be penalized for FY 2026 payments 
due to this measure). Any HCP COVID-19 Vaccination measure data 
received by CMS would not be used for public reporting or payment 
purposes.
    If not finalized, hospitals that do not report their CY 2024 
reporting data for the HCP COVID-19 Vaccination measure to CMS would be 
considered noncompliant with the measure for their FY 2026 payment 
determination, and would receive a letter of noncompliance after August 
1, 2025, at which time the required 30-day reconsideration period would 
begin. Payment adjustments would apply to FY 2026 payment 
determinations fee-for-service claims as previously finalized.
    We invite public comment on our proposal to remove the HCP COVID-19 
Vaccination measure from the Hospital IQR Program beginning with the FY 
2026 payment determination.
c. Proposed Removal of Two Social Drivers of Health Measures Beginning 
With the CY 2024 Reporting Period/FY 2026 Payment Determination
    We propose to remove two social drivers of health (SDOH) process 
measures from the Hospital IQR Program beginning with the FY 2026 
payment determination: Screening for Social Drivers of Health (SDOH-1) 
measure (adopted at 87 FR 49201 through 49215); and Screen Positive 
Rate for Social Drivers of Health (SDOH-2) measure (adopted at 87 FR 
49215 through 49220).
    We propose to remove the SDOH measures beginning with the FY 2026 
payment determination under removal Factor 8, the costs associated with 
the measure outweigh the benefit of its continued use in the program. 
We have previously heard from some hospitals concerned with the costs 
and resources associated with screening patients via manual processes, 
manually storing such data, training hospital staff, and altering 
workflows for these measures. In the FY 2023 IPPS/LTCH PPS final rule, 
we estimated a total annual burden of 700,000 hours including hospital 
and patient burden, at a cost of $21,917,000 to screen all admitted 
patients in accordance with measure specifications for SDOH-1 (87 FR 
49385 through 49386). For SDOH-2, we estimated a total annual burden of 
525 hours across all IPPS hospitals, at a cost of $22,260 (87 FR 49385 
through 49386). Further, we note that these measures document an 
administrative process and report aggregate level results, and do not 
shed light on the extent to which providers are ultimately connecting 
patients with resources or services and whether patients are benefiting 
from these screenings. We have concluded that the costs of the 
continued use of these measures in the Hospital IQR Program outweigh 
the benefits to providers and patients. Removal of these measures would 
alleviate the burden on hospitals to manually screen each patient and 
submit data each reporting cycle, allowing hospitals to focus resources 
on measurable clinical outcomes. This will also remove the patient 
burden associated with repeated SDOH screenings across multiple 
healthcare facilities. We refer readers to our request for comment, 
``Measure Concepts under Consideration for Future Years in the Hospital 
IQR Program-Request for Information (RFI): Well-Being and Nutrition'' 
in section X.C.2.a. for more information regarding our areas of focus 
for new measures. We acknowledge that some hospitals may have expended 
resources to implement SDOH screenings, however, hospitals that had 
already implemented such screenings prior to adoption of the measures 
would not have expended similar resources. The objectives of the 
Hospital IQR Program continue to incentivize the improvement of care 
quality and health outcomes for all patients through transparency and 
use of appropriate quality measures.
    If finalized, hospitals that do not report to CMS their CY 2024 
reporting period data for the SDOH measures would not be considered 
noncompliant with the measures for purposes of their FY 2026 payment 
determination (that is, hospitals that do not report CY 2024 reporting 
period data would not be penalized for FY 2026 payments due to this 
measure). Any SDOH measure data received by CMS would not be used for 
public reporting or payment purposes.
    If not finalized, hospitals that do not report their CY 2024 
reporting data for the SDOH measures to CMS would be considered 
noncompliant with the measures for their FY 2026 payment determination, 
and would receive a letter of noncompliance after August 1, 2025, at 
which time the required 30-day reconsideration period would begin. 
Payment adjustments would apply to FY 2026 payment determinations fee-
for-service claims as previously finalized.
    We invite public comment on our proposal to remove the SDOH 
measures from the Hospital IQR Program beginning with the FY 2026 
payment determination.
5. Technical Updates to the Specifications of the Hospital IQR Program 
Measures Beginning With the FY 2027 Program Year To Include Patients 
Diagnosed With COVID-19
    We are removing the COVID-19 exclusion from all of the following 
Hospital IQR Program measures:
     MORT-30-STK, most recently discussed in the FY 2014 IPPS/
LTCH PPS final rule (78 FR 50798 through 50802) and proposed for 
modification in this proposed rule.
     COMP-HIP-KNEE, most recently discussed in the FY 2023 
IPPS/LTCH PPS final rule (87 FR 49257 through 49263) and proposed for 
modification in this proposed rule.
     Excess Days in Acute Care after Hospitalization for Acute 
Myocardial Infarction (AMI Excess Days), most recently modified in the 
FY 2023 IPPS/LTCH PPS final rule (87 FR 49269 through 49272).
     Excess Days in Acute Care after Hospitalization for Heart 
Failure (HF Excess Days), most recently discussed in the FY 2016 IPPS/
LTCH PPS final rule (80 FR 49682 through 49690).
     Excess Days in Acute Care after Hospitalization for 
Pneumonia (PN Excess Days), most recently discussed in the FY 2017 
IPPS/LTCH PPS final rule (81 FR 57142 through 57148).
     Hybrid Hospital-Wide All-Cause Readmission Measure (HWR), 
most recently modified in the FY 2024 IPPS/LTCH PPS final rule (88 FR 
59165 through 59168) and proposed for modification in this proposed 
rule.
     Hybrid Hospital-Wide All-Cause Risk Standardized Mortality 
Measure (HWM), most recently modified in the FY 2024 IPPS/LTCH PPS 
final rule (88 FR 59161 through 59165) and proposed for modification in 
this proposed rule.
    During the COVID-19 PHE, we updated the measures listed previously 
to exclude patients diagnosed with COVID-19, including a primary or

[[Page 18338]]

secondary diagnosis present on admission of COVID-19, from both the 
index admissions and readmissions. We stated that we were making these 
updates pursuant to the technical updates policy finalized in the FY 
2013 IPPS/LTCH PPS final rule (77 FR 53504 through 53505). Under this 
policy, we finalized a subregulatory process to make nonsubstantive 
updates to measures used for the Hospital IQR Program (77 FR 53504 
through 53505). We reiterated this policy in the FY 2020 IPPS/LTCH PPS 
final rule, for the HAC Reduction Program, stating our continued belief 
that the subregulatory process is the most expeditious manner possible 
to ensure that quality measures remain fully up to date while 
preserving the public's ability to comment on updates that so 
fundamentally change a measure that it is no longer the same measure 
that we originally adopted (84 FR 42385 through 42387).
    We are providing notice in this proposed rule that we intend to 
remove the COVID-19 exclusion from the measures listed previously 
beginning with the FY 2027 program year. The exclusion began as a 
response to the COVID-19 PHE which expired May 11, 2023. This technical 
update will modify these measures to remove the exclusion of COVID-19 
diagnosed patients from the index admissions and readmissions, 
including the removal of the exclusion of certain ICD-10 codes that 
represented patients with a secondary diagnosis of COVID-19, and the 
history of COVID-19 risk variable. Given the PHE expired approximately 
2 years ago, hospitals have had adequate time to adjust to the presence 
of COVID-19 as an ongoing virus. Using data from the last 4 years, July 
2020-June 2024, our internal analysis showed a decline of the number of 
patients excluded from the various measure cohorts. Therefore, removing 
the exclusion of COVID-19 patients will ensure that these measures 
continue to account for outcomes as intended and meet the goals of the 
Hospital IQR Program.
    Technical specifications for all of the Hospital IQR Program 
measures, as well as additional resources, can be found on the 
QualityNet website (available at: https://qualitynet.cms.gov/inpatient/iqr).
6. Summary of Previously Finalized and Proposed Hospital IQR Program 
Measures
a. Summary of Previously Finalized and Proposed Hospital IQR Program 
Measures for the FY 2027 Payment Determination
    This table summarizes the proposed and previously finalized 
Hospital IQR Program measure set for the FY 2027 payment determination:

       Table X.C.2--Measures for the FY 2027 Payment Determination
------------------------------------------------------------------------
           Short name                  Measure name          CBE No.*
------------------------------------------------------------------------
               National Healthcare Safety Network Measures
------------------------------------------------------------------------
HCP Influenza Vaccination......  Influenza Vaccination              0431
                                  Coverage Among
                                  Healthcare Personnel.
HCP COVID-19 Vaccination **....  Quarterly Reporting of             3636
                                  COVID-19 Vaccination
                                  Coverage among
                                  Healthcare Personnel.
------------------------------------------------------------------------
                  Claims-Based Patient Safety Measures
------------------------------------------------------------------------
Inpatient Surgical               Thirty-day Risk-                   4125
 Complications Mortality Rate     Standardized Death
 ***.                             Rate among Surgical
                                  Inpatients with
                                  Complications.
------------------------------------------------------------------------
              Claims-Based Mortality/Complications Measures
------------------------------------------------------------------------
MORT-30-STK ****...............  Hospital 30-Day, All-              4595
                                  Cause, Risk
                                  Standardized
                                  Mortality[dash]Rate
                                  Following Acute
                                  Ischemic Stroke
                                  Hospitalization with
                                  Claims-Based Risk
                                  Adjustment for Stroke
                                  Severity.
COMP-HIP-KNEE ****.............  Hospital-Level, Risk-              1550
                                  Standardized
                                  Complication Rate
                                  (RSCR) Following
                                  Elective Primary THA
                                  and/or TKA.
------------------------------------------------------------------------
               Claims-Based Coordination of Care Measures
------------------------------------------------------------------------
AMI Excess Days................  Excess Days in Acute               2881
                                  Care after
                                  Hospitalization for
                                  Acute Myocardial
                                  Infarction.
HF Excess Days.................  Excess Days in Acute               2880
                                  Care after
                                  Hospitalization for
                                  Heart Failure.
PN Excess Days.................  Excess Days in Acute               2882
                                  Care after
                                  Hospitalization for
                                  Pneumonia.
------------------------------------------------------------------------
                      Claims-Based Payment Measures
------------------------------------------------------------------------
MSPB...........................  Medicare Spending Per              2158
                                  Beneficiary (MSPB)--
                                  Hospital.
------------------------------------------------------------------------
                   Claims and Electronic Data Measures
------------------------------------------------------------------------
Hybrid HWM *****...............  Hybrid Hospital-Wide              3502e
                                  All-Cause Risk
                                  Standardized Mortality
                                  Measure (HWM).
Hybrid HWR *****...............  Hybrid Hospital-Wide              2879e
                                  All-Cause Readmission
                                  Measure (HWR).
------------------------------------------------------------------------
           Chart-Abstracted Clinical Process of Care Measures
------------------------------------------------------------------------
SEP-1..........................  Severe Sepsis and                  0500
                                  Septic Shock:
                                  Management Bundle
                                  (Composite Measure).
------------------------------------------------------------------------
                           Structural Measures
------------------------------------------------------------------------
Maternal Morbidity.............  Maternal Morbidity                  N/A
                                  Structural Measure.
Age Friendly Hospital..........  Age Friendly Hospital               N/A
                                  Measure.
Patient Safety.................  Patient Safety                      N/A
                                  Structural Measure.
HCHE **........................  Hospital Commitment to              N/A
                                  Health Equity.
------------------------------------------------------------------------

[[Page 18339]]

 
              Electronic Clinical Quality Measures (eCQMs)
------------------------------------------------------------------------
Safe Use of Opioids............  Safe Use of Opioids--             3316e
                                  Concurrent Prescribing.
PC-02..........................  Cesarean Birth.........           0471e
PC-07..........................  Severe Obstetric                  3687e
                                  Complications.
STK-2..........................  Discharged on                     0435e
                                  Antithrombotic Therapy.
STK-3..........................  Anticoagulation Therapy           0436e
                                  for Atrial
                                  Fibrillation/Flutter.
STK-5..........................  Antithrombotic Therapy            0438e
                                  by the End of Hospital
                                  Day Two.
VTE-1..........................  Venous Thromboembolism            0371e
                                  Prophylaxis.
VTE-2..........................  Intensive Care Unit               0372e
                                  Venous Thromboembolism
                                  Prophylaxis.
HH-HYPO........................  Hospital Harm--Severe             3503e
                                  Hypoglycemia Measure.
HH-HYPER.......................  Hospital Harm--Severe             3533e
                                  Hyperglycemia Measure.
HH-ORAE........................  Hospital Harm--Opioid-            3501e
                                  Related Adverse Events.
HH-PI..........................  Hospital Harm--Pressure           3498e
                                  Injury.
HH-AKI.........................  Hospital Harm--Acute              3713e
                                  Kidney Injury.
MCS ******.....................  Malnutrition Care Score           3592e
IP-ExRad.......................  Excessive Radiation               3663e
                                  Dose or Inadequate
                                  Image Quality for
                                  Diagnostic Computed
                                  Tomography (CT) in
                                  Adults.
------------------------------------------------------------------------
               Patient Experience of Care Survey Measures
------------------------------------------------------------------------
HCAHPS.........................  Hospital Consumer           0166 (0228)
                                  Assessment of
                                  Healthcare Providers
                                  and Systems Survey.
------------------------------------------------------------------------
              Patient-Reported Outcome Performance Measures
------------------------------------------------------------------------
THA/TKA PRO-PM.................  Hospital-Level Total               3559
                                  Hip Arthroplasty and/
                                  or Total Knee
                                  Arthroplasty Patient-
                                  Reported Outcome-Based
                                  Performance Measure
                                  (PRO-PM).
------------------------------------------------------------------------
                            Process Measures
------------------------------------------------------------------------
SDOH-1 **......................  Screening for Social                N/A
                                  Drivers of Health.
SDOH-2 **......................  Screen Positive Rate                N/A
                                  for Social Drivers of
                                  Health.
------------------------------------------------------------------------
* We note that inclusion of a CBE number neither indicates endorsement
  or lack of endorsement. More information about current endorsement
  status can be found on the Partnership for Quality Measurement
  website: https://p4qm.org/measures.
** In this proposed rule, we propose removing the HCP COVID-19
  Vaccination measure, the HCHE measure, and the SDOH measures beginning
  with the FY 2026 payment determination. We refer readers to section
  X.C.4. of the preamble of this proposed rule for more detailed
  discussion on proposed measure removals.
*** The Thirty-day Risk-Standardized Death Rate among Surgical
  Inpatients with Complications measure short name has been updated to
  Inpatient Surgical Complications Mortality Rate.
**** In this proposed rule, we propose refinements to the MORT-30-STK
  and the COMP-HIP-KNEE measures beginning with the FY 2027 payment
  determination. We refer readers to sections X.C.3.a. and X.C.3.b.,
  respectively, of the preamble of this proposed rule for more detailed
  discussion.
***** In this proposed rule, we propose modified reporting thresholds
  for linking variables and CCDEs beginning with the FY 2028 payment
  determination and subsequent years. In the FY 2025 OPPS/ASC final rule
  (89 FR 94495 through 94499) we finalized an extension of voluntary
  reporting of linking variables and core clinical data elements for the
  Hybrid HWR measure and the Hybrid HWM measure for the FY 2026 and FY
  2027 payment determinations. We refer readers to section X.C.7.c. of
  the preamble of this proposed rule for more detailed discussion.
****** The eCQM previously named Global Malnutrition Composite Score has
  been updated to Malnutrition Care Score. The short name has
  subsequently been updated to MCS eCQM.

b. Summary of Previously Finalized and Proposed Hospital IQR Program 
Measures for the FY 2028 Payment Determination
    This table summarizes the proposed and previously finalized 
Hospital IQR Program measure set for the FY 2028 payment determination:

       Table X.C.3--Measures for the FY 2028 Payment Determination
------------------------------------------------------------------------
           Short name                  Measure name            CBE *
------------------------------------------------------------------------
               National Healthcare Safety Network Measures
------------------------------------------------------------------------
HCP Influenza Vaccination......  Influenza Vaccination              0431
                                  Coverage Among
                                  Healthcare Personnel.
HCP COVID-19 Vaccination **....  COVID-19 Vaccination               3636
                                  Coverage Among
                                  Healthcare Personnel.
CAUTI-Onc ***..................  Catheter-Associated                0138
                                  Urinary Tract
                                  Infection (CAUTI)
                                  Standardized Infection
                                  Ratio Stratified for
                                  Oncology Locations.
CLABSI-Onc ***.................  Central Line-Associated            0139
                                  Bloodstream Infection
                                  (CLABSI) Standardized
                                  Infection Ratio
                                  Stratified for
                                  Oncology Locations.
------------------------------------------------------------------------

[[Page 18340]]

 
                  Claims-Based Patient Safety Measures
------------------------------------------------------------------------
Inpatient Surgical               Thirty-day Risk-                   4125
 Complications Mortality Rate     Standardized Death
 ****.                            Rate among Surgical
                                  Inpatients with
                                  Complications.
------------------------------------------------------------------------
              Claims-Based Mortality/Complications Measures
------------------------------------------------------------------------
MORT-30-STK *****..............  Hospital 30-Day, All-               N/A
                                  Cause, Risk
                                  Standardized
                                  Mortality[dash] Rate
                                  Following Acute
                                  Ischemic Stroke.
COMP-HIP-KNEE *****............  Hospital-Level, Risk-              1550
                                  Standardized
                                  Complication Rate
                                  (RSCR) Following
                                  Elective Primary THA
                                  and/or TKA.
------------------------------------------------------------------------
               Claims-Based Coordination of Care Measures
------------------------------------------------------------------------
AMI Excess Days................  Excess Days in Acute               2881
                                  Care after
                                  Hospitalization for
                                  Acute Myocardial
                                  Infarction.
HF Excess Days.................  Excess Days in Acute               2880
                                  Care after
                                  Hospitalization for
                                  Heart Failure.
PN Excess Days.................  Excess Days in Acute               2882
                                  Care after
                                  Hospitalization for
                                  Pneumonia.
------------------------------------------------------------------------
                   Claims and Electronic Data Measures
------------------------------------------------------------------------
Hybrid HWM ******..............  Hybrid Hospital-Wide              3502e
                                  All-Cause Risk
                                  Standardized Mortality
                                  Measure (HWM).
Hybrid HWR ******..............  Hybrid Hospital-Wide              2879e
                                  All-Cause Readmission
                                  Measure (HWR).
------------------------------------------------------------------------
           Chart-Abstracted Clinical Process of Care Measures
------------------------------------------------------------------------
SEP-1..........................  Severe Sepsis and                  0500
                                  Septic Shock:
                                  Management Bundle
                                  (Composite Measure).
------------------------------------------------------------------------
                           Structural Measures
------------------------------------------------------------------------
Maternal Morbidity.............  Maternal Morbidity                  N/A
                                  Structural Measure.
Age Friendly Hospital..........  Age Friendly Hospital               N/A
                                  Measure.
Patient Safety.................  Patient Safety                      N/A
                                  Structural Measure.
HCHE **........................  Hospital Commitment to              N/A
                                  Health Equity.
------------------------------------------------------------------------
              Electronic Clinical Quality Measures (eCQMs)
------------------------------------------------------------------------
Safe Use of Opioids............  Safe Use of Opioids--             3316e
                                  Concurrent Prescribing.
PC-02..........................  Cesarean Birth.........           0471e
PC-07..........................  Severe Obstetric                  3687e
                                  Complications.
STK-2..........................  Discharged on                     0435e
                                  Antithrombotic Therapy.
STK-3..........................  Anticoagulation Therapy           0436e
                                  for Atrial
                                  Fibrillation/Flutter.
STK-5..........................  Antithrombotic Therapy            0438e
                                  by the End of Hospital
                                  Day Two.
VTE-1..........................  Venous Thromboembolism            0371e
                                  Prophylaxis.
VTE-2..........................  Intensive Care Unit               0372e
                                  Venous Thromboembolism
                                  Prophylaxis.
HH-HYPO........................  Hospital Harm--Severe             3503e
                                  Hypoglycemia Measure.
HH-HYPER.......................  Hospital Harm--Severe             3533e
                                  Hyperglycemia Measure.
HH-ORAE........................  Hospital Harm--Opioid-            3501e
                                  Related Adverse Events.
HH-PI..........................  Hospital Harm--Pressure           3498e
                                  Injury.
HH-AKI.........................  Hospital Harm--Acute              3713e
                                  Kidney Injury.
HH-FI..........................  Hospital Harm--Falls              4120e
                                  with Injury.
HH-RF..........................  Hospital Harm--                   4130e
                                  Postoperative
                                  Respiratory Failure.
MCS *******....................  Malnutrition Care Score           3592e
IP-ExRad.......................  Excessive Radiation               3663e
                                  Dose or Inadequate
                                  Image Quality for
                                  Diagnostic Computed
                                  Tomography (CT) in
                                  Adults.
------------------------------------------------------------------------
               Patient Experience of Care Survey Measures
------------------------------------------------------------------------
HCAHPS.........................  Hospital Consumer           0166 (0228)
                                  Assessment of
                                  Healthcare Providers
                                  and Systems Survey.
------------------------------------------------------------------------
              Patient-Reported Outcome Performance Measures
------------------------------------------------------------------------
THA/TKA PRO-PM.................  Hospital-Level Total               3559
                                  Hip Arthroplasty and/
                                  or Total Knee
                                  Arthroplasty Patient-
                                  Reported Outcome-Based
                                  Performance Measure
                                  (PRO-PM).
------------------------------------------------------------------------
                            Process Measures
------------------------------------------------------------------------
SDOH-1 **......................  Screening for Social                N/A
                                  Drivers of Health.
SDOH-2 **......................  Screen Positive Rate                N/A
                                  for Social Drivers of
                                  Health.
------------------------------------------------------------------------
* We note that inclusion of a CBE number neither indicates endorsement
  or lack of endorsement. More information about current endorsement
  status can be found on the Partnership for Quality Measurement
  website: https://p4qm.org/measures.
** In this proposed rule, we propose removing the HCP COVID-19
  Vaccination measure, the HCHE measure, and the SDOH measures beginning
  with the FY 2026 payment determination. We refer readers to section
  X.C.4. of the preamble of this proposed rule for more detailed
  discussion on proposed measure removals.

[[Page 18341]]

 
*** We are updating our NHSN measures in alignment with CDC's efforts to
  rebaseline using CY 2022 data. We refer readers to section VI.M.2.b.
  of the preamble of this proposed rule for more detailed discussion of
  technical updates to rebaseline CDC's NHSN Healthcare-Associated
  Infection measures for the HAC Reduction Program.
**** The Thirty-day Risk-Standardized Death Rate among Surgical
  Inpatients with Complications measure short name has been updated to
  Inpatient Surgical Complications Mortality Rate.
***** In this proposed rule, we propose refinements to the MORT-30-STK
  and the COMP-HIP-KNEE measures beginning with the FY 2027 payment
  determination. We refer readers to sections X.C.3.a. and X.C.3.b.,
  respectively, of the preamble of this proposed rule for more detailed
  discussion.
****** In this proposed rule, we propose modified reporting thresholds
  for linking variables and CCDEs beginning with the FY 2028 payment
  determination and subsequent years. In the FY 2025 OPPS/ASC final rule
  (89 FR 94495 through 94499) we finalized an extension of voluntary
  reporting of linking variables and core clinical data elements for the
  Hybrid HWR measure and the Hybrid HWM measure for the FY 2026 and FY
  2027 payment determinations. We refer readers to section X.C.7.c. of
  the preamble of this proposed rule for more detailed discussion.
******* The eCQM previously named Global Malnutrition Composite Score
  has been updated to Malnutrition Care Score. The short name has
  subsequently been updated to MCS eCQM.

c. Summary of Previously Finalized and Proposed Hospital IQR Program 
Measures for the FY 2029 Payment Determination and for Subsequent Years
    This table summarizes the proposed and previously finalized 
Hospital IQR Program measure set for the FY 2029 payment determination 
and for subsequent years:

   Table X.C.4--Measures for the FY 2029 Payment Determination and for
                            Subsequent Years
------------------------------------------------------------------------
           Short name                  Measure name            CBE *
------------------------------------------------------------------------
               National Healthcare Safety Network Measures
------------------------------------------------------------------------
HCP Influenza Vaccination......  Influenza Vaccination              0431
                                  Coverage Among
                                  Healthcare Personnel.
HCP COVID-19 Vaccination **....  COVID-19 Vaccination               3636
                                  Coverage Among
                                  Healthcare Personnel.
CAUTI-Onc ***..................  Catheter-Associated                0138
                                  Urinary Tract
                                  Infection (CAUTI)
                                  Standardized Infection
                                  Ratio Stratified for
                                  Oncology Locations.
------------------------------------------------------------------------
CLABSI-Onc ***.................  Central Line-Associated            0139
                                  Bloodstream Infection
                                  (CLABSI) Standardized
                                  Infection Ratio
                                  Stratified for
                                  Oncology Locations.
------------------------------------------------------------------------
                  Claims-Based Patient Safety Measures
------------------------------------------------------------------------
Inpatient Surgical               Thirty-day Risk-                   4125
 Complications Mortality Rate     Standardized Death
 ****.                            Rate among Surgical
                                  Inpatients with
                                  Complications.
------------------------------------------------------------------------
              Claims-Based Mortality/Complications Measures
------------------------------------------------------------------------
MORT-30-STK *****..............  Hospital 30-Day, All-              4595
                                  Cause, Risk
                                  Standardized
                                  Mortality[dash] Rate
                                  (RSMR) Following Acute
                                  Ischemic Stroke
                                  Hospitalization with
                                  Claims-Based Risk
                                  Adjustment for Stroke
                                  Severity.
COMP-HIP-KNEE *****............  Hospital-Level, Risk-              1550
                                  Standardized
                                  Complication Rate
                                  (RSCR) Following
                                  Elective Primary THA
                                  and/or TKA.
------------------------------------------------------------------------
               Claims-Based Coordination of Care Measures
------------------------------------------------------------------------
AMI Excess Days................  Excess Days in Acute               2881
                                  Care after
                                  Hospitalization for
                                  Acute Myocardial
                                  Infarction.
HF Excess Days.................  Excess Days in Acute               2880
                                  Care after
                                  Hospitalization for
                                  Heart Failure.
PN Excess Days.................  Excess Days in Acute               2882
                                  Care after
                                  Hospitalization for
                                  Pneumonia.
------------------------------------------------------------------------
                   Claims and Electronic Data Measures
------------------------------------------------------------------------
Hybrid HWM ******..............  Hybrid Hospital-Wide              3502e
                                  All-Cause Risk
                                  Standardized Mortality
                                  Measure (HWM).
Hybrid HWR ******..............  Hybrid Hospital-Wide              2879e
                                  All-Cause Readmission
                                  Measure (HWR).
------------------------------------------------------------------------
           Chart-Abstracted Clinical Process of Care Measures
------------------------------------------------------------------------
SEP-1..........................  Severe Sepsis and                  0500
                                  Septic Shock:
                                  Management Bundle
                                  (Composite Measure).
------------------------------------------------------------------------
                           Structural Measures
------------------------------------------------------------------------
Maternal Morbidity.............  Maternal Morbidity                  N/A
                                  Structural Measure.
Age Friendly Hospital..........  Age Friendly Hospital               N/A
                                  Measure.
Patient Safety.................  Patient Safety                      N/A
                                  Structural Measure.
HCHE **........................  Hospital Commitment to              N/A
                                  Health Equity.
------------------------------------------------------------------------
              Electronic Clinical Quality Measures (eCQMs)
------------------------------------------------------------------------
Safe Use of Opioids............  Safe Use of Opioids--             3316e
                                  Concurrent Prescribing.
PC-02..........................  Cesarean Birth.........           0471e
PC-07..........................  Severe Obstetric                  3687e
                                  Complications.

[[Page 18342]]

 
STK-2..........................  Discharged on                     0435e
                                  Antithrombotic Therapy.
STK-3..........................  Anticoagulation Therapy           0436e
                                  for Atrial
                                  Fibrillation/Flutter.
STK-5..........................  Antithrombotic Therapy            0438e
                                  by the End of Hospital
                                  Day Two.
VTE-1..........................  Venous Thromboembolism            0371e
                                  Prophylaxis.
VTE-2..........................  Intensive Care Unit               0372e
                                  Venous Thromboembolism
                                  Prophylaxis.
HH-HYPO........................  Hospital Harm--Severe             3503e
                                  Hypoglycemia Measure.
HH-HYPER.......................  Hospital Harm--Severe             3533e
                                  Hyperglycemia Measure.
HH-ORAE........................  Hospital Harm--Opioid-            3501e
                                  Related Adverse Events.
HH-PI..........................  Hospital Harm--Pressure           3498e
                                  Injury.
HH-AKI.........................  Hospital Harm--Acute              3713e
                                  Kidney Injury.
HH-FI..........................  Hospital Harm--Falls              4120e
                                  with Injury.
HH-RF..........................  Hospital Harm--                   4130e
                                  Postoperative
                                  Respiratory Failure.
MCS *******....................  Malnutrition Care Score           3592e
IP-ExRad.......................  Excessive Radiation               3663e
                                  Dose or Inadequate
                                  Image Quality for
                                  Diagnostic Computed
                                  Tomography (CT) in
                                  Adults.
------------------------------------------------------------------------
               Patient Experience of Care Survey Measures
------------------------------------------------------------------------
HCAHPS.........................  Hospital Consumer           0166 (0228)
                                  Assessment of
                                  Healthcare Providers
                                  and Systems Survey.
------------------------------------------------------------------------
              Patient-Reported Outcome Performance Measures
------------------------------------------------------------------------
THA/TKA PRO-PM.................  Hospital-Level Total               3559
                                  Hip Arthroplasty and/
                                  or Total Knee
                                  Arthroplasty Patient-
                                  Reported Outcome-Based
                                  Performance Measure
                                  (PRO-PM).
------------------------------------------------------------------------
                            Process Measures
------------------------------------------------------------------------
SDOH-1 **......................  Screening for Social                N/A
                                  Drivers of Health.
SDOH-2 **......................  Screen Positive Rate                N/A
                                  for Social Drivers of
                                  Health.
------------------------------------------------------------------------
* We note that inclusion of a CBE number neither indicates endorsement
  or lack of endorsement. More information about current endorsement
  status can be found on the Partnership for Quality Measurement
  website: https://p4qm.org/measures.
** In this proposed rule, we propose removing the HCP COVID-19
  Vaccination measure, the HCHE measure, and the SDOH measures beginning
  with the FY 2026 payment determination. We refer readers to section
  X.C.4. of the preamble of this proposed rule for more detailed
  discussion on proposed measure removals.
*** We are updating our NHSN measures in alignment with CDC's efforts to
  rebaseline using CY 2022 data. We refer readers to section VI.M.2.b.
  of the preamble of this proposed rule for more detailed discussion of
  technical updates to rebaseline CDC's NHSN Healthcare-Associated
  Infection measures for the HAC Reduction Program.
**** The Thirty-day Risk-Standardized Death Rate among Surgical
  Inpatients with Complications measure short name has been updated to
  Inpatient Surgical Complications Mortality Rate.
***** In this proposed rule, we propose refinements to the MORT-30-STK
  and the COMP-HIP-KNEE measures beginning with the FY 2027 payment
  determination. We refer readers to sections X.C.3.a. and X.C.3.b.,
  respectively, of the preamble of this proposed rule for more detailed
  discussion.
****** In this proposed rule, we propose modified reporting thresholds
  for linking variables and CCDEs beginning with the FY 2028 payment
  determination and subsequent years. In the FY 2025 OPPS/ASC final rule
  (89 FR 94495 through 94499) we finalized an extension of voluntary
  reporting of linking variables and core clinical data elements for the
  Hybrid HWR measure and the Hybrid HWM measure for the FY 2026 and FY
  2027 payment determinations. We refer readers to section X.C.7.c. of
  the preamble of this proposed rule for more detailed discussion.
******* The eCQM previously named Global Malnutrition Composite Score
  has been updated to Malnutrition Care Score. The short name has
  subsequently been updated to MCS eCQM.

7. Proposed Updates to the Form, Manner, and Timing of Hospital IQR 
Program Data Submission
    We propose changes to our reporting and submission requirements for 
eCQMs and hybrid measures. We provide more details on these proposals 
in the subsequent sections. We are not proposing changes to the 
following requirements, and we have therefore omitted the following 
subsections from the Form, Manner, and Timing of Quality Data 
Submission section: procedural requirements; data submission 
requirements for chart-abstracted measures; sampling and case 
thresholds for chart-abstracted measures; HCAHPS Survey administration 
and submission requirements; data submission requirements for 
structural measures; data submission and reporting requirements for CDC 
NHSN measures; and data submission and reporting requirements for 
Patient-Reported Outcome-Based Performance Measures (PRO-PMs). We refer 
readers to the QualityNet website at: https://qualitynet.cms.gov/inpatient/iqr (or other successor CMS designated websites) for more 
details on the Hospital IQR Program data submission and procedural 
requirements.
a. Background
    Sections 1886(b)(3)(B)(viii)(I) and (b)(3)(B)(viii)(II) of the Act 
state that the applicable percentage increase for FY 2015 and each 
subsequent year shall be reduced by one-quarter of such applicable 
percentage increase (determined without regard to section 
1886(b)(3)(B)(ix), (xi), or (xii) of the Act) for any subsection (d) 
hospital that does not submit data required to be submitted on measures 
specified by the Secretary in a form and manner and at a time specified 
by the Secretary. To participate successfully in the Hospital IQR 
Program, hospitals must comply with the specific procedural, data 
collection, submission, and validation requirements that we specify for 
the program.
b. Maintenance of Technical Specifications for Quality Measures
    Section 412.140(c)(1) of title 42 of the Code of Federal 
Regulations (CFR) generally requires that a subsection (d) hospital 
participating in the Hospital IQR Program must submit to CMS data

[[Page 18343]]

on measures selected under section 1886(b)(3)(B)(viii) of the Act in a 
form and manner, and at a time, specified by CMS. The data submission 
requirements, specifications manual, measure methodology reports, and 
submission deadlines are posted on the QualityNet website at: https://qualitynet.cms.gov (or other successor CMS designated websites). The 
CMS Annual Update for the Hospital Quality Reporting Programs (Annual 
Update) contains the technical specifications for eCQMs. The Annual 
Update also contains updated measure specifications for the year prior 
to the reporting period. For example, for the CY 2025 reporting period/
FY 2027 payment determination, hospitals are collecting and will submit 
eCQM data using the May 2024 Annual Update and any applicable addenda. 
The Annual Update and implementation guidance documents are available 
on the Electronic Clinical Quality Improvement (eCQI) Resource Center 
website at: https://ecqi.healthit.gov/.
    Hospitals must register and submit quality data as described at 42 
CFR 412.140(a). See 45 CFR part 160 and subparts A, C, and E of 45 CFR 
part 164.
c. Proposed Modification to the Reporting of the Hybrid Hospital-Wide 
All-Cause Readmission (HWR) and Hybrid Hospital-Wide All-Cause Risk 
Standardized Mortality (HWM) Measures
(1) Background
    The Hospital IQR Program previously adopted two hybrid measures: 
(1) the Hybrid HWR measure; and (2) the Hybrid HWM measure. Hybrid 
measures use more than one data source for measure calculation. 
Specifically, the Hybrid HWR and Hybrid HWM measures are calculated 
using core clinical data elements (CCDEs), linking variables, and 
claims data (80 FR 49698). CCDEs are a set of clinical variables 
derived from electronic health records (EHRs) that can be used to risk 
adjust hospital outcome measures (80 FR 49699). Linking variables are 
administrative data that can be used to link or merge the CCDEs and 
claims data for measure calculation (80 FR 49703). These measures are 
designed to enhance risk adjustment of claims-based outcome measures by 
utilizing patient clinical data captured in EHRs (80 FR 49698).
    Hospitals are currently required to report CCDEs (both vital signs 
and laboratory test results) on 90 percent of discharges and to submit 
four linking variables on 95 percent of discharges for both the Hybrid 
HWR and Hybrid HWM measures in a given reporting period beginning with 
mandatory reporting for the FY 2028 payment determination (89 FR 94495 
through 94499). Hospitals must report 13 CCDEs (six vital signs and 
seven laboratory test results) for the Hybrid HWR measure and 10 CCDEs 
(four vital signs and six laboratory test results) for the Hybrid HWM 
measure.
(2) Proposed Decrease of the Hybrid Measures CCDE and Linking Variable 
Submission Thresholds Beginning With the FY 2028 Payment Determination
    As a part of measure maintenance, we routinely monitor hospital 
performance on the Hospital IQR Program measures. The results of 2024 
voluntary reporting for both the Hybrid HWR and Hybrid HWM measures 
indicated that three-fourths of the participating hospitals that 
submitted measure data during this voluntary period did not meet 
submission thresholds of 90 percent of discharges for the CCDEs and 95 
percent of discharges for the linking variables. It is therefore likely 
that an even larger percentage of hospitals would not have met the 
current hybrid measure CCDE and linking variable submission thresholds 
if they had been required to report them during the July 1, 2022, 
through June 30, 2023, performance period. The hospitals that 
participated in voluntary reporting of these data consisted mostly of 
large, non-rural, non-critical access, and non-safety net hospitals.
    In the CY 2025 OPPS/ASC final rule, we summarized feedback received 
on the reporting of the Hybrid HWR and Hybrid HWM measures (89 FR 94495 
through 94499). Several commenters described challenges meeting the 90 
percent thresholds for CCDEs and the 95 percent thresholds for linking 
variables and recommended reducing the required threshold percentages. 
A few commenters specifically recommended lowering the threshold for 
reporting laboratory results, which are included in the CCDEs. While 
lowering the thresholds would have been out-of-scope for the CY 2025 
OPPS/ASC final rule, we stated our intent to propose lowering the 
thresholds in the FY 2026 IPPS/LTCH PPS proposed rule.
    Based on the feedback from commenters and our analysis of the 
results from the voluntary reporting for both the Hybrid HWR and Hybrid 
HWM measures, we considered whether lowering the thresholds for CCDE 
and linking variables would increase the number of hospitals that were 
able to successfully report the hybrid measures without significantly 
decreasing reliability. The results of an internal analysis indicated 
that for both the Hybrid HWR and Hybrid HWM measures, allowing (1) 
fewer CCDEs to be submitted--up to two missing lab values and up to two 
missing vital signs--combined with (2) lowering the percentage of 
discharges meeting the CCDE lab values and vital signs threshold to 70 
percent of discharges, significantly improves hospitals' ability to 
meet the measure reporting thresholds.\373\ The same effect was 
observed for linking variables when lowering the threshold to 70 
percent of discharges. While we established the current 90 and 95 
percent thresholds for CCDEs and linking variables, respectively, based 
on initial measure testing to encourage data completeness, our recent 
analysis shows that these lower thresholds still demonstrate good 
reliability for measure calculation, while increasing the number of 
hospitals that were able to successfully report the hybrid 
measures.374 375 376
---------------------------------------------------------------------------

    \373\ CMS. Internal Analysis. September 2024.
    \374\ CMS. Internal Analysis. September 2024.
    \375\ Battelle--Partnership for Quality Measurement. Hybrid 
Hospital-Wide Readmission (HWR) Measure with Claims and Electronic 
Health Record Data. Available at: https://p4qm.org/measures/2879e.
    \376\ Battelle--Partnership for Quality Measurement. Hybrid 
Hospital-Wide (All-Condition, All-Procedure) 
Risk[hyphen]Standardized Mortality Measure with Claims and 
Electronic Health Record Data. Available at: https://p4qm.org/measures/3502e.
---------------------------------------------------------------------------

    Therefore, we now propose to reduce the submission thresholds for 
both CCDE and linking variables to at least 70 percent of discharges 
for both the Hybrid HWR and Hybrid HWM measures. We selected the 
threshold of 70 percent to ensure successful submission for as many 
hospitals as possible, while still maintaining statistical 
validity.\377\ We also propose to lower the number of required CCDE 
data elements for both the Hybrid HWR and Hybrid HWM measures to allow 
for up to two missing laboratory results and up to two missing vital 
signs. A hospital that submits CCDE and linking variable data for less 
than 70 percent of applicable patient discharges or that submits CCDE 
data with more than two missing laboratory results or more than two 
missing vital signs under either hybrid measure would not satisfy the 
measure's Hospital IQR Program requirements and would receive a one-
fourth reduction to its Annual Payment Update (APU) for the applicable 
fiscal year.
---------------------------------------------------------------------------

    \377\ CMS Internal Analysis. September 2024.
---------------------------------------------------------------------------

    We invite public comment on our proposals to reduce the number of 
required CCDEs, to allow up to two missing lab values and two missing 
vital signs, and to lower the required

[[Page 18344]]

percentage of discharges meeting the CCDE and linking variable 
thresholds to 70 percent of discharges for the Hybrid HWR and Hybrid 
HWM measures beginning with the FY 2028 payment determination, which 
has a performance period of July 1, 2025, through June 30, 2026.
8. Hospital IQR Program Extraordinary Circumstances Exception (ECE) 
Policy
a. Background
    Under our current Extraordinary Circumstances Exception (ECE) 
regulations, we have granted exceptions with respect to quality data 
reporting requirements in the event of extraordinary circumstances 
beyond the control of a hospital (42 CFR 412.140(c)(2)). An exception 
may be granted for extraordinary circumstances including, but not 
limited to, natural disasters or systemic problems with data collection 
systems.\378\ We refer readers to 42 CFR 412.140(c)(2) for our current 
ECE regulations, as well as the FY 2012 IPPS/LTCH PPS final rule (76 FR 
51651), FY 2014 IPPS/LTCH PPS final rule (78 FR 50836), and FY 2015 
IPPS/LTCH PPS final rule (79 FR 50277) for further background and 
details of our ECE policy. We also refer readers to the QualityNet 
website for the specific requirements for submission of an ECE request 
in the Hospital IQR Program.\379\
---------------------------------------------------------------------------

    \378\ Centers for Medicare & Medicaid Services (CMS) Quality 
Program Extraordinary Circumstances Exceptions (ECE) Request Form. 
(2025). QualityNet. Available at: https://qualitynet.cms.gov/files/677e843f50ed8df7419f60e1?filename=HQR_ECE_Req_Form_CY_2025.pdf.
    \379\ https://qualitynet.cms.gov/inpatient/iqr/participation#tab3.
---------------------------------------------------------------------------

    Our ECE policy provides flexibility for Hospital IQR Program 
participants to ensure continuity of quality care delivery and measure 
reporting in the event of an extraordinary circumstance. For instance, 
we recognize that, in circumstances where a full exception is not 
applicable, it is beneficial for a hospital to report data later than 
the reporting deadline. Delayed reporting authorized under our ECE 
policy allows temporary relief for a hospital experiencing an 
extraordinary circumstance while preserving the benefits of data 
reporting, such as transparency and informed decision-making for 
beneficiaries and providers alike. Accordingly, we propose to update 
our regulations to specify that an ECE could take the form of an 
extension of time for a hospital to comply with a data reporting 
requirement if CMS determines that this type of relief would be 
appropriate under the circumstances.
b. Proposal To Update the Extraordinary Circumstances Exception (ECE) 
Policy for the Hospital IQR Program
    We propose to update the current ECE policy codified at 42 CFR 
412.140(c)(2) to include extensions of time as a form of relief and to 
further clarify the policy. Specifically, at proposed Sec.  
412.140(c)(2)(i), we propose that CMS may grant an ECE with respect to 
reporting requirements in the event of an extraordinary circumstance--
defined as an event beyond the control of a hospital (for example a 
natural or man-made disaster such as a hurricane, tornado, earthquake, 
terrorist attack, or bombing)--that affected the ability of the 
hospital to comply with one or more applicable reporting requirements 
with respect to a fiscal year.
    We propose that the steps for requesting or granting an ECE would 
remain the same as the current ECE process, detailed by CMS at the 
QualityNet website or a successor website.\380\ At proposed Sec.  
412.140(c)(2)(ii)(A), we propose that a hospital may request an ECE 
within 30 calendar days of the date that the extraordinary circumstance 
occurred. Our current policy allows a request within 90 days; however, 
this proposed change would align the Hospital IQR policy with CMS 
systems implementation requirements across all quality reporting 
programs. Under this proposed codified policy, we clarify that CMS 
retains the authority to grant an ECE as a form of relief at any time 
after the extraordinary circumstance has occurred. At proposed Sec.  
412.140(c)(2)(ii)(B), we propose that CMS notify the requestor with a 
decision in writing. In the event that CMS grants an ECE to the 
hospital, the written decision will specify whether the hospital is 
exempted from one or more reporting requirements or whether CMS has 
granted the hospital an extension of time to comply with one or more 
reporting requirements.
---------------------------------------------------------------------------

    \380\ https://qualitynet.cms.gov/inpatient/iqr/participation#tab3.
---------------------------------------------------------------------------

    Additionally, at Sec.  412.140(c)(2)(iii), we propose that CMS may 
grant an ECE to one or more hospitals that have not requested an ECE if 
CMS determines that: a systemic problem with a CMS data collection 
system directly impacted the ability of the hospital to comply with a 
quality data reporting requirement, or that an extraordinary 
circumstance has affected an entire region or locale. As is the case 
under our current policy, any ECE granted will specify whether the 
affected hospitals are exempted from one or more reporting requirements 
or whether CMS has granted the hospitals an extension of time to comply 
with one or more reporting requirements.
    This proposed ECE policy would provide further reporting 
flexibility for hospitals and clarify the ECE process.
    We invite public comment on our proposals.

D. Proposed Changes to the PPS-Exempt Cancer Hospital Quality Reporting 
(PCHQR) Program

1. Background
    The PPS-Exempt Cancer Hospital Quality Reporting (PCHQR) Program, 
authorized by section 1866(k) of the Act, applies to hospitals 
described in section 1886(d)(1)(B)(v) of the Act (referred to as ``PPS-
Exempt Cancer Hospitals'' or ``PCHs''). We refer readers to the FY 2013 
IPPS/LTCH PPS final rule (77 FR 53555 through 53567) for a general 
overview of the PCHQR Program. We also refer readers to 42 CFR 412.24 
for codified PCHQR Program requirements.
2. PCHQR Program Measures
a. Proposed Removal of the Hospital Commitment to Health Equity Measure 
Beginning With CY 2024 Reporting Period/FY 2026 Program Year and for 
Subsequent Years
    We refer readers to the FY 2024 IPPS/LTCH PPS final rule (88 FR 
59204 through 59210) where we adopted the Hospital Commitment to Health 
Equity (hereinafter referred to as HCHE) measure into the PCHQR 
Program. We propose to remove the HCHE measure beginning with the CY 
2024 reporting period/FY 2026 program year due to the costs associated 
with achieving a high score on the measure outweighing the benefit of 
its continued use in the program. When adopted, we intended the 
collection of data described in the five domains of this measure to 
provide hospital leadership with meaningful and actionable health data 
to drive quality improvements to eliminate health disparities. Based on 
feedback received from hospitals as well as a re-focus on clinical 
outcome measures, for which the HCHE measure, as a structural measure, 
does not directly measure clinical outcomes, the burden of collecting 
this measure may outweigh the benefits. Removal of this measure would 
alleviate an estimated annual burden of approximately 2 hours, at a 
cost of $90, across all PCHs (88 FR 59317).
    One of the goals of the PCHQR Program is to move forward in the 
least burdensome manner possible, while maintaining a parsimonious set 
of the most meaningful quality measures and continuing to incentivize 
improvement

[[Page 18345]]

in the quality of care provided to patients. Removing this measure from 
the PCHQR Program is an effective way to accomplish this goal. Our 
priority is a re-focus on measurable clinical outcomes as well as 
identifying quality measures on topics of prevention and well-being. It 
may be costly for hospitals to continue reporting on the HCHE measure, 
and removal of this measure would make room in the program's measure 
set to enhance the program's focus on measurable clinical outcomes. We 
acknowledge that some hospitals may have expended resources to 
implement some or all of the activities described in the HCHE measure 
attestation statements in order to be able to attest ``yes'' for 
measure reporting purposes, however, hospitals that had already 
implemented such activities prior to adoption of the measure would have 
been able to attest ``yes'' without expending similar resources.
    If finalized, any HCHE measure data received by CMS would not be 
used for public reporting purposes.
    We invite public comment on our proposal to remove the HCHE measure 
from the PCHQR Program beginning with the CY 2024 reporting period/FY 
2026 program year.
b. Proposed Removal of Two Social Drivers of Health Measures Beginning 
With CY 2024 Reporting Period/FY 2026 Program Year and for Subsequent 
Years
    We propose to remove two social drivers of health (SDOH) process 
measures from the PCHQR Program beginning with the CY 2024 reporting 
period/FY 2026 program year:
     Screening for Social Drivers of Health measure (adopted in 
the FY 2024 IPPS/LTCH PPS final rule (88 FR 59210 through 59219)); and
     Screen Positive Rate for Social Drivers of Health measure 
(adopted in the FY 2024 IPPS/LTCH PPS final rule (88 FR 59219 through 
59222)).
    We propose to remove the SDOH measures beginning with the CY 2024 
reporting period/FY 2026 program year under removal Factor 8, the costs 
associated with the measure outweigh the benefit of its continued use 
in the program. We have previously heard from some hospitals concerned 
with the costs and resources associated with screening patients via 
manual processes, manually storing such data, training hospital staff, 
and altering workflows for these measures. In the FY 2023 and FY 2024 
IPPS/LTCH PPS final rules, we estimated a total annual burden of 101 
hours across all PCHs at a cost of $2,092 to screen all patients in 
accordance with measure specifications for Screening for Social Drivers 
of Health measure (88 FR 59317 through 59318). For Screen Positive Rate 
for Social Drivers of Health measure, we estimated a total annual 
burden of 2 hours across all PCHs at a cost of $90 (88 FR 59318). 
Further, we note that these measures document an administrative process 
and report aggregate level results, and do not shed light on the extent 
to which providers are ultimately connecting patients with resources or 
services and whether patients are benefiting from these screenings. We 
have concluded that the costs of the continued use of these measures in 
the PCHQR Program outweigh the benefits to beneficiaries and providers. 
Removal of these measures would alleviate the burden on hospitals to 
manually screen each patient and submit data each reporting cycle, 
allowing hospitals to focus resources on measurable clinical outcomes. 
This will also remove the patient burden associated with repeated SDOH 
screenings across multiple healthcare facilities. We acknowledge that 
some hospitals may have expended resources to implement SDOH 
screenings, however, hospitals that had already implemented such 
screenings prior to adoption of the measures would not have expended 
similar resources. The objectives of the PCHQR Program continue to 
incentivize the improvement of care quality and health outcomes for all 
patients through transparency and use of appropriate quality measures.
    If finalized, any SDOH measure data received by CMS would not be 
used for public reporting purposes.
    We invite public comment on our proposal to remove the SDOH measure 
from the PCHQR Program beginning with the CY 2024 reporting period/FY 
2026 program year.
c. Summary of Previously Adopted PCHQR Program Measures for the CY 2026 
Reporting Period/FY 2028 Program Year and Subsequent Years
    Table X.D.-01 summarizes the previously adopted measures for the 
PCHQR Program measure set beginning with the CY 2026 reporting period/
FY 2028 program year.

Table X.D.-01--Previously Adopted Measures for the PCHQR Program Measure
  Set Beginning With the CY 2026 Reporting Period/FY 2028 Program Year
------------------------------------------------------------------------
                                   Consensus-
           Short name             based entity         Measure name
                                    (CBE) No.
------------------------------------------------------------------------
        Safety and Healthcare-Associated Infection (HAI) Measures
------------------------------------------------------------------------
CAUTI *........................            0138  National Healthcare
                                                  Safety Network (NHSN)
                                                  Catheter-associated
                                                  Urinary Tract
                                                  Infection (CAUTI)
                                                  Outcome Measure.
CLABSI *.......................            0139  NHSN Central line-
                                                  associated Bloodstream
                                                  Infection (CLABSI)
                                                  Outcome Measure.
Flu HCP Vaccination............            0431  Influenza Vaccination
                                                  Coverage Among
                                                  Healthcare Personnel
                                                  (HCP).
COVID-19 HCP Vaccination.......             N/A  COVID-19 Vaccination
                                                  Coverage Among HCP.
Colon and Abdominal                        0753  American College of
 Hysterectomy SSI.                                Surgeons--Centers for
                                                  Disease Control and
                                                  Prevention (ACS-CDC)
                                                  Harmonized Procedure
                                                  Specific Surgical Site
                                                  Infection (SSI)
                                                  Outcome Measure
                                                  (currently includes
                                                  SSIs following Colon
                                                  Surgery and Abdominal
                                                  Hysterectomy Surgery).
MRSA *.........................            1716  NHSN Facility-wide
                                                  Inpatient Hospital-
                                                  onset Methicillin-
                                                  resistant
                                                  Staphylococcus aureus
                                                  (MRSA) Bacteremia
                                                  Outcome Measure.
CDI *..........................            1717  NHSN Facility-wide
                                                  Inpatient Hospital-
                                                  onset Clostridium
                                                  difficile Infection
                                                  (CDI) Outcome Measure.
N/A............................             N/A  Patient Safety
                                                  Structural Measure.
------------------------------------------------------------------------
                 Clinical Process/Oncology Care Measures
------------------------------------------------------------------------
EOL-Chemo......................            0210  Proportion of Patients
                                                  Who Died from Cancer--
                                                  Receiving Chemotherapy
                                                  in the Last 14 Days of
                                                  Life.

[[Page 18346]]

 
EOL-Hospice....................            0215  Proportion of Patients
                                                  Who Died from Cancer--
                                                  Not Admitted to
                                                  Hospice.
------------------------------------------------------------------------
                 Intermediate Clinical Outcome Measures
------------------------------------------------------------------------
EOL-ICU........................            0213  Proportion of Patients
                                                  Who Died from Cancer--
                                                  Admitted to the ICU in
                                                  the Last 30 Days of
                                                  Life.
EOL-3DH........................            0216  Proportion of Patients
                                                  Who Died from Cancer--
                                                  Admitted to Hospice
                                                  for Less Than Three
                                                  Days.
------------------------------------------------------------------------
              Patient Engagement/Experience of Care Measure
------------------------------------------------------------------------
HCAHPS.........................            0166  Hospital Consumer
                                                  Assessment of
                                                  Healthcare Providers
                                                  and Systems (HCAHPS)
                                                  Survey.
N/A............................             N/A  Documentation of Goals
                                                  of Care Discussions
                                                  Among Cancer Patients.
------------------------------------------------------------------------
                            Outcome Measures
------------------------------------------------------------------------
N/A............................             N/A  Admissions and
                                                  Emergency Department
                                                  (ED) Visits for
                                                  Patients Receiving
                                                  Outpatient
                                                  Chemotherapy.
N/A............................            3188  30-Day Unplanned
                                                  Readmissions for
                                                  Cancer Patients.
N/A............................             N/A  Surgical Treatment
                                                  Complications for
                                                  Localized Prostate
                                                  Cancer.
------------------------------------------------------------------------
                         Health Equity Measures
------------------------------------------------------------------------
HCHE **........................             N/A  Hospital Commitment to
                                                  Health Equity.
SDOH-1 **......................             N/A  Screening for Social
                                                  Drivers of Health.
SDOH-2 **......................             N/A  Screen Positive Rate
                                                  for Social Drivers of
                                                  Health.
------------------------------------------------------------------------
* We are updating our NHSN measures in alignment with CDC's efforts to
  rebaseline using CY 2022 data. We refer readers to section VI.M.2.b.
  for more detailed discussion of technical updates to rebaseline CDC's
  NHSN Healthcare-Associated Infection measures for the HAC Reduction
  Program.
** In section X.D.2. of the preamble of this proposed rule, we are
  proposing to remove the HCHE measure and the SDOH measures beginning
  with the CY 2024 reporting period/FY 2026 program year.

3. Public Display Requirements
    Under section 1866(k)(4) of the Act, the Secretary must establish 
procedures for making data submitted under the PCHQR Program available 
to the public.
a. Summary of Previously Finalized Public Display Policies for the 
PCHQR Program
    Table X.D.-02 summarizes our current public display requirements 
for the PCHQR Program measures. The measure performance data are made 
publicly available on a CMS website, which is currently the Provider 
Data Catalog, available at: https://data.cms.gov/provider-data/.

   Table X.D.-02--Previously Finalized Public Display Policies for the
                              PCHQR Program
------------------------------------------------------------------------
                    Measures                       Public display dates
------------------------------------------------------------------------
 Hospital Consumer Assessment of          2016 and subsequent
 Healthcare Providers and Systems (HCAHPS) (CBE    years.
 #0166).
 American College of Surgeons--Centers    2019 and subsequent
 for Disease Control and Prevention (ACS-CDC)      years.
 Harmonized Procedure Specific Surgical Site
 Infection (SSI) Outcome Measure [currently
 includes SSIs following Colon Surgery and
 Abdominal Hysterectomy Surgery] (CBE #0753).
 NHSN Facility-wide Inpatient Hospital-
 onset Methicillin-resistant Staphylococcus
 aureus Bacteremia Outcome Measure * (CBE
 #1716).
 NHSN Facility-wide Inpatient Hospital-
 onset Clostridium difficile Infection (CDI)
 Outcome Measure * (CBE #1717).
 NHSN Influenza Vaccination Coverage
 Among Healthcare Personnel * (CBE #0431).
 Admissions and Emergency Department      April 2020 and
 (ED) Visits for Patients Receiving Outpatient     subsequent years.
 Chemotherapy.
 COVID-19 Vaccination Coverage Among      October 2022 and
 Healthcare Personnel.                             subsequent years.
 CAUTI * (CBE #0138)....................  October 2022 and
                                                   subsequent years.
 CLABSI* (CBE #0139).
 30-day Unplanned Readmissions for        October 2023 and
 Cancer Patients (CBE #3188).                      subsequent years.
 Proportion of Patients Who Died from     July 2024 and
 Cancer Receiving Chemotherapy in the Last 14      subsequent years.
 Days of Life (CBE #0210).
 Proportion of Patients Who Died from
 Cancer Not Admitted to Hospice (CBE #0215).
 Proportion of Patients Who Died from
 Cancer Admitted to the ICU in the Last 30 Days
 of Life (CBE #0213).
 Proportion of Patients Who Died from
 Cancer Admitted to Hospice for Less Than Three
 Days (CBE #0216).
 Surgical Treatment Complications for     July 2024 and
 Localized Prostate Cancer Measure (PCH-37).       subsequent years.

[[Page 18347]]

 
 Hospital Commitment to Health Equity **  January 2026 or as
                                                   soon as feasible
                                                   thereafter.
 Documentation of Goals of Care           July 2026 or as soon
 Discussions Among Cancer Patients.                as feasible
                                                   thereafter.
 Patient Safety Structural Measure......  October 2026 or as
                                                   soon as feasible
                                                   thereafter.
 Screening for Social Drivers of Health   July 2027 or as soon
 **.                                               as feasible
                                                   thereafter.
 Screen Positive Rate for Social Drivers  July 2027 or as soon
 of Health **.                                     as feasible
                                                   thereafter.
------------------------------------------------------------------------
* We are updating our NHSN measures in alignment with CDC's efforts to
  rebaseline using CY 2022 data. We refer readers to section VI.M.2.b.
  of the preamble of this proposed rule for more detailed discussion of
  technical updates to re-baseline CDC's NHSN Healthcare-Associated
  Infection measures for the HAC Reduction Program.
** In section X.D.2. of the preamble of this proposed rule, we are
  proposing to remove the HCHE measure and the SDOH measures beginning
  with the CY 2024 reporting period/FY 2026 program year.

b. Proposal To Publicly Report PCHQR Data on Both the Provider Data 
Catalog and Compare Tool Website or Successor Websites
    In FY 2022 IPPS/LTCH PPS final rule, we codified at 42 CFR 
412.24(f) that data submitted by PCHs under the PCHQR Program are to be 
made publicly available on the Provider Data Catalog website (https://data.cms.gov/provider-data/) and that PCHs have an opportunity to 
review their data prior to publication during a preview period via the 
Hospital Quality Reporting (HQR) system (https://hqr.cms.gov/hqrng/login) with timelines for review published on the QualityNet website 
(https://qualitynet.cms.gov) and applicable listservs (86 FR 45435 
through 45437; 86 FR 45518 through 45519). In this proposed rule, we 
propose to modify the public reporting requirements of the PCHQR 
Program to enable us to publicly report PCHQR data on both the Provider 
Data Catalog and the Compare tool (https://www.medicare.gov/care-compare/) or their successor websites. We also propose to make 
corresponding changes to the regulation text at Sec.  412.24(f).
    In 2020, CMS launched the Provider Data Catalog and the Compare 
tool websites to replace previous CMS healthcare comparison tools 
including Hospital Compare. Both the Provider Data Catalog and the 
Compare tool are valuable tools that allow patients, caregivers and 
families, providers, and other interested parties to find and compare 
information about the quality of care at participating PCHs and 
hospitals, respectively.
    The Provider Data Catalog allows for downloading, exploration, and 
analysis of performance data. However, the Compare tool displays 
performance data in a format that is more user-friendly and more easily 
understood by consumers than the Provider Data Catalog. Data displayed 
on the Provider Data Catalog is a valuable resource that allows 
consumers, providers, and researchers to conduct analyses and compare 
quality of care delivery among PCHs. However, displaying data submitted 
by PCHs under the PCHQR Program in a more user-friendly format and 
making data more widely available would support consumer engagement and 
promote greater transparency. The Compare tool already includes quality 
measure information about hospitals participating in the Hospital 
Inpatient Quality Reporting Program, Hospital Outpatient Quality 
Reporting Program, Hospital-Acquired Condition Reduction Program, 
Hospital Readmissions Reduction Program, Inpatient Psychiatric Facility 
Quality Reporting Program, and Medicare Promoting Interoperability 
Program.
    Therefore, to support greater data transparency and consumer 
engagement and to align with the other hospital quality programs, we 
propose to modify the public reporting requirements of the PCHQR 
Program to enable us to publicly report data from the PCHQR Program on 
both the Provider Data Catalog and the Compare tool (https://www.medicare.gov/care-compare) or their successor websites. We also 
propose corresponding changes to the regulation text at Sec.  412.24(f) 
replacing references to ``Provider Data Catalog'' with ``CMS 
websites''.
    We invite public comments on our proposal to publicly report PCHQR 
data on both the Provider Data Catalog and Compare tool or successor 
websites.
4. Proposal To Codify Updates to the Extraordinary Circumstances 
Exception Policy for the PCHQR Program
a. Background
    Under our current Extraordinary Circumstances Exception (ECE) 
regulations, we have granted exceptions with respect to quality data 
reporting requirements in the event of extraordinary circumstances 
beyond the control of the PCH (42 CFR 412.24(e)). An exception may be 
granted for extraordinary circumstances including, but not limited to, 
natural disasters or systemic problems with data collection 
systems.\381\ We refer readers to 42 CFR 412.24(e) for our current ECE 
regulations, as well as FY 2014 IPPS/LTCH PPS final rule (78 FR 50848); 
FY 2018 IPPS/LTCH PPS final rule (82 FR 38424 through 38425); and FY 
2019 IPPS/LTCH PPS final rule (83 FR 41623 through 41624) for further 
background and details of our ECE policy. We also refer readers to the 
QualityNet website for the specific requirements for submission of an 
ECE request in the PCHQR Program.\382\
---------------------------------------------------------------------------

    \381\ Centers for Medicare & Medicaid Services (CMS) Quality 
Program Extraordinary Circumstances Exceptions (ECE) Request Form. 
(2025). QualityNet. Available at: https://qualitynet.cms.gov/files/677e843f50ed8df7419f60e1?filename=HQR_ECE_Req_Form_CY_2025.pdf.
    \382\ CMS QualityNet. Available at: https://qualitynet.cms.gov/pch/pchqr/participation#tab2.
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    Our ECE policy provides flexibility for PCHs to ensure continuity 
of quality care delivery and measure reporting in the event of an 
extraordinary circumstance. For instance, we recognize that in 
circumstances where a full exception is not applicable, it is 
beneficial for a PCH to report data later than the reporting deadline. 
Delayed reporting authorized under our ECE policy allows temporary 
relief for a PCH experiencing an extraordinary circumstance while 
preserving data reporting such as transparency and informed decision-
making for beneficiaries and providers alike. Accordingly, we propose 
to update our regulations to specify that an ECE could take the form of 
an extension of time for a PCH to comply with a data reporting

[[Page 18348]]

requirement if CMS determines that this type of relief would be 
appropriate under the circumstances.
b. Proposal To Update the Extraordinary Circumstances Exception (ECE) 
Policy for the PCHQR Program
    We propose to update the current ECE policy codified at 42 CFR 
412.24(e) to include extensions of time as a form of relief and to 
further clarify the policy. Specifically, at proposed Sec.  
412.24(e)(1), we propose that CMS may grant an ECE with respect to 
reporting requirements in the event of an extraordinary circumstance--
defined as an event beyond the control of a PCH (for example a natural 
or man-made disaster such as a hurricane, tornado, earthquake, 
terrorist attack, or bombing)--that affected the ability of the PCH to 
comply with one or more applicable reporting requirements with respect 
to a fiscal year.
    We propose that the process for requesting or granting an ECE would 
remain the same as the current ECE process, detailed by CMS at the 
QualityNet website or a successor website.\383\ At proposed Sec.  
412.24(e)(2)(i), we propose that a PCH may request an ECE within 30 
calendar days of the date that the extraordinary circumstance occurred. 
Our current policy allows a request within 90 days; however, this 
proposed change would align the PCHQR policy with CMS systems 
implementation requirements across all quality reporting programs. 
Under this proposed codified policy, we clarify that CMS retains the 
authority to grant an ECE as a form of relief at any time after the 
extraordinary circumstance has occurred. At proposed Sec.  
412.24(e)(2)(ii), we propose that CMS notify the requestor with a 
decision in writing, via email. In the event that CMS grants an ECE to 
the PCH, the written decision will specify whether the PCH is exempted 
from one or more reporting requirements or whether CMS has granted the 
PCH an extension of time to comply with one or more reporting 
requirements.
---------------------------------------------------------------------------

    \383\ https://qualitynet.cms.gov/inpatient/iqr/participation#tab3.
---------------------------------------------------------------------------

    Additionally, at Sec.  412.24(e)(3), we propose that CMS may grant 
an ECE to one or more PCH that have not requested an ECE if CMS 
determines that: a systemic problem with CMS data collection systems 
directly impacted the ability of the PCH to comply with a data 
submission; or that an extraordinary circumstance has affected an 
entire region or locale. As is the case under our current policy, any 
ECE granted will specify whether the affected PCHs are exempted from 
one or more reporting requirements or whether CMS has granted the PCHs 
an extension of time to comply with one or more reporting requirements. 
At proposed Sec.  412.24(e)(4), we propose that CMS may grant or deny 
an ECE based on the evaluation of the extraordinary circumstance 
including, but not limited to, whether the extraordinary circumstance 
occurred beyond the control of the PCH and affected the PCH's ability 
to meet data reporting requirements by the specified deadlines. We 
propose that CMS will notify the PCH of a denial of an ECE in writing 
via email to be codified at Sec.  412.24(e)(5).
    This proposed ECE policy would provide further reporting 
flexibility for PCHs and clarify the ECE process.
    We invite public comment on our proposal to update the ECE policy 
for the PCHQR Program with corresponding updates to regulatory text at 
Sec.  412.24(e).

E. Proposed Changes to the Long-Term Care Hospital Quality Reporting 
Program (LTCH QRP)

1. Background and Statutory Authority
    The Long-Term Care Hospital Quality Reporting Program (LTCH QRP) is 
authorized by section 1886(m)(5) of the Act, and it applies to all 
hospitals certified by Medicare as Long-Term Care Hospitals (LTCHs). 
Section 1886(m)(5)(C) of the Act requires LTCHs to submit to the 
Secretary quality measure data specified under section 1886(m)(5)(D) in 
a form and manner, and at a time, specified by the Secretary. In 
addition, section 1886(m)(5)(F) of the Act requires LTCHs to submit 
data on quality measures under section 1899B(c)(1) of the Act, resource 
use or other measures under section 1899B(d)(1) of the Act, and 
standardized patient assessment data required under section 1899B(b)(1) 
of the Act. LTCHs must submit the data required under section 
1886(m)(5)(F) of the Act in the form and manner, and at the time, 
specified by the Secretary. Section 1886(m)(5)(A) requires the 
Secretary to reduce by 2 percentage points the annual update to the 
LTCH PPS standard Federal rate for discharges for an LTCH during a 
fiscal year (FY)--if the LTCH has not submitted data to the Secretary 
in accordance with the LTCH QRP requirements specified for that FY. 
Section 1890A of the Act requires that the Secretary establish and 
follow a pre-rulemaking process, in coordination with the consensus-
based entity (CBE) with a contract under section 1890(a) of the Act, to 
solicit input from certain groups regarding the selection of quality 
and efficiency measures for the LTCH QRP. We have codified our program 
requirements in our regulations at 42 CFR 412.560.
    In this proposed rule, we are proposing to modify reporting 
requirements for the COVID-19 Vaccine: Percent of Patients/Residents 
Who Are Up to Date measure to exclude patients who have expired in the 
LTCH by removing an item on the LTCH Continuity Assessment Record and 
Evaluation (CARE) Data Set (LCDS) as described in section X.E.3. of the 
preamble of this proposed rule. We also propose to remove four items 
previously adopted as standardized patient assessment data elements 
under the social determinants of health (SDOH) category beginning with 
the FY 2028 LTCH QRP: one item for Living Situation, two items for 
Food, and one item for Utilities. Next, we propose to amend our 
reconsideration policy and process as described in section X.E.4 of the 
preamble of this proposed rule. Finally, we seek public comment on 
several requests for information (RFIs), specifically on: (1) future 
measure concepts for the LTCH QRP as described in section X.E.5 of the 
preamble of this proposed rule; (2) revisions to the data submission 
deadlines for assessment data collected for the LTCH QRP as described 
in section X.E.6. of the preamble of this proposed rule; and (3) 
advancing digital quality measurement (dQM) in the LTCH QRP as 
described in section X.E.7. of the preamble of this proposed rule.
2. General Considerations Used for the Selection of Measures for the 
LTCH QRP--Quality Measures Currently Adopted for the LTCH QRP
    For a detailed discussion of the considerations, we use for the 
selection of LTCH QRP quality, resource use, and other measures, we 
refer readers to the FY 2016 Inpatient Prospective Payment System 
(IPPS)/LTCH PPS final rule (80 FR 49728). The LTCH QRP currently has 18 
adopted measures, which are set out in Table X.E.-01. We are not 
proposing to adopt any new measures for the LTCH QRP.
    For a discussion of the factors we use to evaluate whether a 
measure should be removed from the LTCH QRP, we refer readers to the FY 
2019 IPPS/LTCH PPS final rule (83 FR 41624 through 41634) and to the 
regulations at Sec.  412.560(b)(3).

[[Page 18349]]



   Table X.E.-01--Quality Measures Currently Adopted for the LTCH QRP
------------------------------------------------------------------------
            Short name                   Measure name & data source
------------------------------------------------------------------------
                           LTCH CARE Data Set
------------------------------------------------------------------------
Pressure Ulcer/Injury.............  Changes in Skin Integrity Post-Acute
                                     Care: Pressure Ulcer/Injury.
Application of Falls..............  Application of Percent of Residents
                                     Experiencing One or More Falls with
                                     Major Injury (Long Stay).
Change in Mobility................  Functional Outcome Measure: Change
                                     in Mobility Among Long-Term Care
                                     Hospital (LTCH) Patients requiring
                                     ventilator support.
DRR...............................  Drug Regimen Review Conducted with
                                     Follow-Up for Identified Issues-
                                     Post Acute Care (PAC) Long-Term
                                     Care Hospital (LTCH) Quality
                                     Reporting Program (QRP).
Compliance with SBT...............  Compliance with Spontaneous
                                     Breathing Trial (SBT) by Day 2 of
                                     the LTCH Stay.
Ventilator Liberation.............  Ventilator Liberation Rate.
TOH-Provider......................  Transfer of Health Information to
                                     the Provider Post-Acute Care (PAC).
TOH-Patient.......................  Transfer of Health Information to
                                     the Patient Post-Acute Care (PAC).
DC Function.......................  Discharge Function Score.
Patient/Resident COVID-19 Vaccine.  COVID-19 Vaccine: Percent of
                                     Patients/Residents Who Are Up to
                                     Date.
------------------------------------------------------------------------
                National Healthcare Safety Network (NHSN)
------------------------------------------------------------------------
CAUTI *...........................  National Healthcare Safety Network
                                     (NHSN) Catheter-Associated Urinary
                                     Tract Infection Outcome Measure.
CLABSI *..........................  National Healthcare Safety Network
                                     (NHSN) Central-Line associated
                                     Bloodstream Infection (CLABSI)
                                     Outcome Measure.
CDI *.............................  National Healthcare Safety Network
                                     (NHSN) Facility-wide Inpatient
                                     Hospital-onset Clostridium
                                     difficile Infection (CDI) Outcome
                                     Measure.
HCP Influenza Vaccine.............  Influenza Vaccination Coverage among
                                     Healthcare Personnel.
HCP COVID-19 Vaccine..............  COVID-19 Vaccination Coverage among
                                     Healthcare Personnel (HCP).
------------------------------------------------------------------------
                              Claims-Based
------------------------------------------------------------------------
MSPB LTCH.........................  Medicare Spending Per Beneficiary
                                     (MSPB)--Post Acute Care (PAC) Long-
                                     Term Care Hospital (LTCH) Quality
                                     Reporting Program (QRP).
DTC...............................  Discharge to Community--Post Acute
                                     Care (PAC) Long-Term Care Hospital
                                     (LTCH) Quality Reporting Program
                                     (QRP).
PPR...............................  Potentially Preventable 30-Day Post-
                                     Discharge Readmission Measure for
                                     Long-Term Care Hospital (LTCH)
                                     Quality Reporting Program (QRP).
------------------------------------------------------------------------
* We are updating our NHSN measures in alignment with CDC's efforts to
  rebaseline using CY 2022 data. We refer readers to section VI.M.2.b.
  of the preamble of the proposed rule for more detailed discussion of
  technical updates to rebaseline CDC's NHSN Healthcare-Associated
  Infection measures.

3. Proposed Modification of Reporting Requirements for COVID-19 
Vaccine: Percent of Patients/Residents Who Are Up to Date Measure 
Beginning With the FY 2028 LTCH QRP
    In the FY 2024 IPPS/LTCH PPS Final Rule (88 FR 59243 through 
59250), we finalized the COVID-19 Vaccine: Percent of Patients/
Residents Who Are Up to Date (Patient/Resident COVID-19 Vaccine) 
measure for the LTCH QRP beginning with the FY 2026 LTCH QRP. LTCHs 
collect and report data for this measure on the LTCH Continuity 
Assessment Record and Evaluation (CARE) Data Set (LCDS), the LTCH 
patient assessment instrument (88 FR 59247 and 59253). We added the 
Patient/Resident COVID-19 Vaccine item (O0350) on the LCDS discharge 
assessments (Planned Discharge, Unplanned Discharge, and Expired) for 
LTCHs to collect data on this measure for patients being discharged 
from the LTCH and who expire during their stay (88 FR 59253). We 
finalized that LTCHs must begin collecting data using the LCDS for this 
measure with patients discharged on October 1, 2024, for the FY 2026 
LTCH QRP (88 FR 59247 and 59253).
    Since the Patient/Resident COVID-19 Vaccine measure was adopted for 
the LTCH QRP and LTCHs began collecting data for this measure on 
October 1, 2024, LTCHs and other interested parties have expressed 
concerns about challenges and increased provider burden in collecting 
immunization data.\384\ They have specifically noted challenges in 
identifying a patient's vaccination status once they have expired. We 
agree that collecting information regarding an expired patient's 
vaccination status is challenging because it may be difficult to 
interview the patient's family or other caregivers to ascertain the 
patient's vaccination status if it is not known during the expired 
assessment window (that is, no later than 5 days after the patient's 
date of death).\385\ In addition, we agree that collecting this data 
creates unnecessary burden for LTCHs because this information is no 
longer actionable for LTCHs, since they can no longer help an expired 
patient stay up to date with regard to COVID-19 vaccinations. Removing 
the requirement to report this item when a patient expires in an LTCH 
will allow CMS to be responsive to LTCHs and reduce assessment 
collection burden.
---------------------------------------------------------------------------

    \384\ Standing Technical Expert Panel for the Development, 
Evaluation, and Maintenance of Post-Acute Care (PAC) and Hospice 
Quality Reporting Program (QRP) Measurement Sets Summary Report 
December 15, 2023, https://www.cms.gov/files/document/december-2023-pac-and-hospice-cross-setting-tep-summary-report.pdf-1.
    \385\ Chapter 2, Overview. LCDS Manual accessed in the Downloads 
section of: https://www.cms.gov/medicare/quality/long-term-care-hospital/ltch-care-data-set-ltch-qrp-manual.
---------------------------------------------------------------------------

    We propose to modify the reporting requirements for the Patient/
Resident COVID-19 Vaccine measure in the LTCH QRP to exclude patients 
who have expired in the LTCH beginning with the FY 2028 LTCH QRP. 
Specifically, we propose that, beginning with patients admitted on or 
after October 1, 2026, LTCHs would no longer be required to submit the 
Patient/Resident COVID-19 Vaccine item

[[Page 18350]]

(O0350) on the LCDS with respect to patients who have expired in the 
LTCH. We also propose to remove the COVID-19 Vaccine: Percent of 
Patients/Residents Who Are Up to item (O0350) from future LCDS forms 
that LTCHs use for expired patients. The remaining LCDS forms used for 
Planned Discharge and Unplanned Discharge would continue to include the 
Patient/Resident COVID-19 Vaccine item (O0350) for purposes of 
collecting and reporting data on the Patient/Resident COVID-19 Vaccine 
measure.
    We invite public comment on our proposal to modify reporting 
requirements for the Patient/Resident COVID-19 Vaccine measure in the 
LTCH QRP to exclude patients who have expired in the LTCH beginning 
with the FY 2028 LTCH QRP.
4. Proposed Removal of Four Standardized Patient Assessment Data 
Elements Beginning With the FY 2028 LTCH QRP
    We refer readers to the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69582 through 69593) where we finalized the adoption of four items as 
standardized patient assessment data elements under the social 
determinants of health (SDOH) category: one item for Living Situation 
(R0310); two items for Food (R0320A and R0320B); and one item for 
Utilities (R0330). As finalized in the FY 2025 IPPS/LTCH PPS final 
rule, LTCHs would be required to report these data elements using the 
LCDS beginning with patients discharged on or after October 1, 2026, 
through December 31, 2026, for purposes of the FY 2028 LTCH QRP and 
each program year after (89 FR 69597 and 69598).
    In this proposed rule, we are proposing to remove these four 
standardized patient assessment data elements under the SDOH category 
as we acknowledge the burden associated with these items at this time. 
Further, as it is also standard evidence-based practice to assess and 
address these items in LTCHs, we would like to change the focus of 
CMS's data collection at this time. We continuously look for ways to 
balance the need of data collections regarding quality care and burden 
of these data collections on health care providers. CMS has a goal to 
facilitate improved health care delivery by requiring different systems 
and software applications to communicate and exchange data. Therefore, 
we would like to work towards the workflow for these data elements 
being part of a low burden interoperable electronic system. The focus 
will turn towards how the data and associated recommendations exchanged 
improves care coordination, efficiency, reduction in errors and 
improved patient experience. As health Information technology (HIT) 
advances and interoperability of data becomes more standardized, the 
burden to collect and share clinical data on these and other relevant 
patient information will become less burdensome allowing for better 
outcomes for LTCH patients and their families. The objectives of the 
LTCH QRP continue to be the improvement of care, quality and health 
outcomes for all patients through transparency and quality measurement, 
while not imposing undue burden on essential health providers.
    Under our proposal, LTCHs would not be required to collect and 
submit Living Situation (R0310), Food (R0320A and R0320B), and 
Utilities (R0330) beginning with patients discharged on or after 
October 1, 2026, as previously finalized. Under this proposal, these 
items would not be necessary to meet LTCH QRP requirements beginning 
with the FY 2028 LTCH QRP. Removing these items from the data 
collection for the FY2028 LTCH QRP would keep the 330 LTCHs from 
incurring 2,601 hours of administrative burden at a cost of $182,330.10 
(or $552.52 per LTCH) at this time. We refer readers to section 
XIII.B.6. of the preamble of this proposed rule for more details on 
this estimated burden reduction.
    We invite public comment on our proposal to remove four 
standardized patient assessment data elements collected under the SDOH 
category from the LTCH QRP beginning with the FY 2028 LTCH QRP.
5. Proposals To Amend the Reconsideration Request Policy and Process
a. Background
    In the fiscal year (FY) 2014 IPPS/LTCH PPS final rule (78 FR 50885 
through 50887), we finalized the LTCH QRP Reconsiderations policy and 
process whereby an LTCH may request reconsideration of an initial 
determination that the LTCH did not comply with the LTCH QRP reporting 
requirements, warranting CMS reducing the LTCH's annual payment update 
by 2 percent for the applicable fiscal year as required by section 
1886(m)(5)(A) of the Act. In that rule, we stated that the LTCH may 
file a request for reconsideration if they believe that the finding of 
non-compliance is erroneous, or if they were non-compliant, they have a 
valid and justifiable excuse for this non-compliance (78 FR 50886). We 
further stated that, after we review the request for reconsideration, 
we may reverse our initial finding of non-compliance if: (1) the LTCH 
provides proof of compliance with all requirements during the reporting 
period; or (2) the LTCH provides adequate proof of a valid or 
justifiable excuse for non-compliance if the LTCH was not able to 
comply with requirements during the reporting period (78 FR 50886). 
Finally, we stated that we will uphold an initial finding of non-
compliance if the LTCH cannot show any justification for non-compliance 
(78 FR 50886).
    In the FY 2015 IPPS/LTCH PPS final rule (79 FR 50317 and 50318), we 
finalized amendments to the LTCH QRP reconsideration policy and 
process. Specifically, we stated that each LTCH would receive a 
notification of noncompliance with LTCH QRP requirements if we 
determine it had not correctly submitted data with respect to the 
applicable fiscal year (79 FR 50317). Then, the LTCH would have 30 days 
from the date of our initial notification of noncompliance to submit a 
request for reconsideration via email. We also provided that, in very 
limited circumstances, we may grant a request by an LTCH to extend the 
deadline to submit its reconsideration request, so long as the LTCH 
requested the extension and demonstrated that extenuating circumstances 
existed that prevented it filing a reconsideration request by the 30-
day deadline (79 FR 50317). Finally, we provided that, as part of its 
reconsideration request, the LTCH must submit all supporting 
documentation and evidence demonstrating: (1) full compliance with all 
LTCH QRP reporting requirements during the reporting period; or (2) 
extenuating circumstances that affected noncompliance if the LTCH was 
not able to comply with the requirements during the reporting period 
(79 FR 50317). We stated that we would not review any reconsideration 
request that fails to provide the necessary documentation and evidence 
along with the request (79 FR 50317).
    In the FY 2016 IPPS/LTCH PPS final rule (80 FR 49755 and 49770), we 
codified the reconsideration policy and process for the LTCH QRP at 
Sec.  412.560(d). In subsequent rulemakings, we have amended our 
reconsideration policy and process at Sec.  412.560(d) for minor 
clarifications and technical updates (FY 2017 IPPS/LTCH PPS final rule 
(81 FR 57230 and 57231); FY 2019 IPPS/LTCH PPS final rule (83 FR 41633 
and 41634; 83 FR 41705); and FY 2020 IPPS/LTCH PPS final rule (84 FR 
42588 and 42615)). As codified, our regulation at Sec.  412.560(d) 
addresses how we send our written notification of noncompliance to an 
LTCH, the process

[[Page 18351]]

for an LTCH to request reconsideration, what information an LTCH must 
include with its reconsideration request (for example, documentation 
that demonstrates the LTCH's compliance with LTCH QRP requirements), 
and how we notify the LTCH of our final decision regarding its 
reconsideration request.
    We have become aware there are inconsistencies in our preamble and 
regulation text regarding LTCH requests for reconsideration. On this 
basis, in this proposed rule, we seek to clarify these areas.
b. Proposal To Allow LTCHs To Request an Extension To File a Request 
for Reconsideration
    As noted previously, in the FY 2015 IPPS/LTCH PPS final rule (79 FR 
50317 and 50318), we provided that, in very limited circumstances, we 
may grant a request by an LTCH to extend the deadline to submit its 
reconsideration request, so long as the LTCH requested the extension 
and demonstrated that extenuating circumstances existed that prevented 
it filing a reconsideration request by the 30-day deadline (79 FR 
50317). We did not codify this policy--permitting LTCHs to request an 
extension to file their reconsideration request--in our regulation text 
at Sec.  412.560(d). In implementing this finalized policy, we have 
noted two areas where further clarity would be beneficial to LTCHs.
    First, we have not clearly defined or explained the term 
``extenuating circumstances,'' as used in our reconsideration policy. 
In contrast, we use the term ``extraordinary circumstances'' in our 
Extraordinary Circumstance Exception and Extension (ECE) policy, as 
codified at Sec.  412.560(c). We did explain ``extraordinary 
circumstances'' in detail when we originally finalized this ECE policy 
in FY 2014 IPPS/LTCH PPS final rule (78 FR 50883).
    On this basis, we are proposing to remove the term ``extenuating 
circumstances'' as used currently in our reconsideration policy and 
replace it with ``extraordinary circumstances.'' Specifically, we 
propose that an LTCH may request, and CMS may grant, an extension to 
file a reconsideration request if the LTCH was affected by 
extraordinary circumstances beyond the control of the LTCH (for 
example, a natural or man-made disaster). By modifying the basis by 
which an LTCH may request an extension to file a reconsideration 
request in this manner, we also propose to incorporate our prior 
explanation regarding the meaning extraordinary circumstances, as set 
forth in the FY 2014 IPPS/LTCH PPS final rule (78 FR 50883 through 
50885) as part of our Extraordinary Circumstance Exception and 
Extension (ECE) Policy.
    Second, we have noted some areas in our policy where LTCHs may 
benefit from clearly demarcated deadlines. Although we believe an LTCH 
would have an interest in asking for an extension to file a 
reconsideration request prior to the deadline, our policy currently 
does not specify a deadline for an LTCH to submit its request for such 
extension (79 FR 50317). Our policy also provides that, to support such 
request, the LTCH must demonstrate that extenuating circumstances 
existed that prevented filing the reconsideration request by the 30-day 
deadline (79 FR 50317). However, we have not specified a temporal 
relationship between when the extenuating circumstances occurred and 
the reconsideration request deadline. We believe LTCHs may benefit from 
further specificity regarding these requirements for submitting a 
request to extend the deadline to file a reconsideration request.
    On this basis, we propose to amend our reconsideration policy as 
codified at Sec.  412.560(d) to permit LTCHs to request, and CMS to 
grant, an extension to file a request for reconsideration of a 
noncompliance determination if, during the period to request a 
reconsideration as set forth in Sec.  412.560(d)(2), the LTCH was 
affected by an extraordinary circumstance beyond the control of the 
LTCH (for example, a natural or man-made disaster). We propose that the 
LTCH must submit its request for an extension to file a reconsideration 
request to CMS via email no later than 30 calendar days from the date 
of the written notification of noncompliance. We propose that the 
LTCH's extension request, submitted to CMS, must contain the following 
information: (1) the CCN for the LTCH; (2) the business name of the 
LTCH; (3) the business address of the LTCH; (4) certain contact 
information for the LTCH's chief executive officer or designated 
personnel; (5) a statement of the reason for the request for the 
extension; and (6) evidence of the impact of the extraordinary 
circumstances, including, for example, photographs, newspaper articles, 
and other media. We propose to codify this process at Sec.  
412.560(d)(4).
    We further propose that CMS will notify the LTCH in writing of its 
final decision regarding its request for an extension to file a 
reconsideration of noncompliance request via an email from CMS. We 
propose to notify the LTCH in writing via email because this will allow 
for more expedient correspondence with the LTCH, given the 30-day 
reconsideration timeframe. We propose to codify this process at Sec.  
412.560(d)(5).
    We note that we are considering proposing similar modifications 
across all post-acute care setting quality reporting programs to more 
closely align the reconsideration processes.
    We invite comment on these proposals to amend the LTCH QRP 
Reconsideration policy to permit LTCHs to requests an extension to file 
a reconsideration request and to codify this proposed policy and 
process at Sec.  412.560(d)(4) and (5).
c. Proposal To Update the Bases on Which CMS Can Grant a 
Reconsideration Request
    As discussed previously, in the FY 2014 IPPS/LTCH PPS final rule, 
we stated that, after we review an LTCH's request for reconsideration, 
we may reverse our initial finding of non-compliance if: (1) the LTCH 
provides proof of compliance with all requirements during the reporting 
period; or (2) the LTCH provides adequate proof of a valid or 
justifiable excuse for non-compliance if the LTCH was not able to 
comply with requirements during the reporting period (78 FR 50886). We 
also stated that we will uphold an initial finding of non-compliance if 
the LTCH cannot show any justification for non-compliance (78 FR 
50886).
    In the FY 2015 IPPS/LTCH PPS final rule (79 FR 50317 and 50318), we 
reiterated this position, and provided that, as part of its 
reconsideration request, the LTCH must submit all supporting 
documentation and evidence demonstrating: (1) full compliance with all 
LTCH QRP reporting requirements during the reporting period; or (2) 
extenuating circumstances that affected noncompliance if the LTCH was 
not able to comply with the requirements during the reporting period 
(79 FR 50317). We stated that we would not review any reconsideration 
request that fails to provide the necessary documentation and evidence 
along with the request (79 FR 50317).
    As previously discussed, we codified our reconsideration policy at 
Sec.  412.560(d) in the FY 2016 IPPS/LTCH PPS final rule (80 FR 49755 
and 49770). Our regulation at Sec.  412.560(d)(2)(vii) requires that an 
LTCH's request for reconsideration include accompanying documentation 
that demonstrates the LTCH's compliance with the LTCH QRP requirements. 
Then, we will notify the LTCH in writing regarding our final decision 
on its reconsideration request (Sec.  412.560(d)(3)). We believe it 
would be beneficial for LTCHs if we codify our

[[Page 18352]]

specific bases for granting a reconsideration request in our regulation 
at Sec.  412.560(d).
    On these bases, we propose to modify our reconsideration policy to 
provide that we will grant a timely request for reconsideration, and 
reverse an initial finding of non-compliance, only if CMS determines 
that the long-term care hospital was in full compliance with the LTCH 
QRP requirements for the applicable program year. We would consider 
full compliance with the LTCH QRP requirements to include CMS granting 
an exception or extension to LTCH QRP reporting requirements under our 
ECE policy at Sec.  412.560(c). However, to demonstrate full compliance 
with our ECE policy, the LTCH would need to comply with our ECE 
policy's requirements, including the specific scope of the exception or 
extension as granted by CMS.
    We propose to revise Sec.  412.560(d)(3) to codify this modified 
policy in our regulation. The remainder of the text at Sec.  
412.560(d)(3) would remain the same, subject to minor technical 
amendments.
    We note that we are considering proposing similar modifications 
across all post-acute care setting quality reporting programs to more 
closely align the reconsideration processes.
    We invite comment on these proposals to amend the bases by which we 
grant a reconsideration request under the LTCH QRP Reconsideration 
policy and to codify this proposed policy at Sec.  412.560(d)(3).
6. LTCH QRP Measure Concepts Under Consideration for Future Years--
Request for Information (RFI): Interoperability, Well-Being, Nutrition 
& Delirium
    We are seeking input on the importance, relevance, appropriateness, 
and applicability of each of the quality measure concepts under 
consideration listed in Table X.E.-02 for future years in the LTCH QRP. 
In the FY 2024 LTCH PPS proposed rule (88 FR 27150 through 27152), we 
included a request for information (RFI) on a set of principles for 
selecting and prioritizing LTCH QRP measures, identifying measurement 
gaps, and suitable measures for filling these gaps. We refer readers to 
the FY 2024 LTCH PPS final rule (88 FR 59250 and 59251) for a summary 
of the public comments we received in response to the RFI.
    We are seeking input on four concepts for future measures for the 
LTCH QRP.

 Table X.E.-02--Future Measure Concepts Under Consideration for the LTCH
                                   QRP
------------------------------------------------------------------------
                        Quality measure concepts
-------------------------------------------------------------------------
Interoperability.
Well-being.
Nutrition.
Delirium.
------------------------------------------------------------------------

a. Interoperability
    We are seeking input on the quality measure concept of 
interoperability, focusing on information technology systems' readiness 
and capabilities in the LTCH setting. Title XXX of the Public Health 
Service Act defines ``interoperability'' in part, and with respect to 
health information technology, as health information technology that 
enables the secure exchange of electronic health information with, and 
use of electronic health information from, other health information 
technology without requiring special efforts by the user.\386\ The 
definition further states that interoperability of health information 
technology allows for complete, including by providers and patients, 
access, exchange, and use of electronically accessible health 
information for authorized uses under applicable State or Federal 
Law.\387\ We request input and comment on approaches to assessing 
interoperability in the LTCH setting, for instance, measures that 
address or evaluate the level of readiness for interoperable data 
exchange, or measures that evaluate the ability of data systems to 
securely share information across the spectrum of care. Please provide 
input on the relevant aspects of interoperability for the LTCH setting.
---------------------------------------------------------------------------

    \386\ Public Health Service Act, 42 U.S.C. 3000(9) (2025).
    \387\ Public Health Service Act, 42 U.S.C. 3000(9) (2025).
---------------------------------------------------------------------------

b. Well-Being
    We are seeking input on a quality measure concept of well-being for 
future quality measures. Well-being is a comprehensive approach to 
disease prevention and health promotion, as it integrates mental and 
physical health 388 389 while emphasizing preventive care to 
proactively address potential health issues. This comprehensive 
approach emphasizes person-centered care by promoting well-being of 
patients and their family members. We request input and comment on 
tools and measures that assess for overall health, happiness, and 
satisfaction in life that could include aspects of emotional well-
being, social connections, purpose, fulfillment, and self-care work. 
Please provide input on the relevant aspects of well-being for the LTCH 
setting.
---------------------------------------------------------------------------

    \388\ Overall well-being. See more information at: https://odphp.health.gov/healthypeople/objectives-and-data/overall-health-and-well-being-measures/overall-well-being-ohm-01.
    \389\ Well-Being Measurement. See more information at: https://www.va.gov/WHOLEHEALTH/professional-resources/well-being-measurement.asp.
---------------------------------------------------------------------------

c. Nutrition
    We are seeking input on a quality measure concept of nutrition for 
future quality measures. Assessment of an individual's nutritional 
status may include various strategies, guidelines, and practices 
designed to promote healthy eating habits and ensure individuals 
receive the necessary nutrients for maintaining health, growth, and 
overall well-being. This also includes aspects of health that support 
or mediate nutritional status, such as physical activity and sleep. In 
this context, preventable care plays a vital role by proactively 
addressing factors that may lead to poor nutritional status or related 
health issues. These efforts not only support optimal nutrition but 
also work to prevent conditions that could otherwise hinder an 
individual's health and nutritional needs. We request input and comment 
on tools and frameworks that promote healthy eating habits, exercise, 
nutrition, or physical activity for optimal health, well-being, and 
best care for all. Please provide input on the relevant aspects of 
nutrition for the LTCH setting.
d. Delirium
    Finally, we are seeking input on a quality measure concept of 
delirium for future quality measures. Delirium, often under-detected, 
is a common complication of illness or injury that leads to negative 
health outcomes like frailty, cognitive impairment, and functional 
decline. Post-acute care patients experiencing delirium symptoms are 
more likely to undergo rehospitalization, experience poor functional 
recovery outcomes, and have a higher 6-month mortality rate compared to 
patients without delirium.\390\ We request input and comment on the 
applicability of measures that evaluate for the sudden, serious change 
in a person's mental

[[Page 18353]]

state or altered state of consciousness that may be associated with 
underlying symptoms or conditions. Please provide input on the relevant 
aspects of delirium for the LTCH setting.
---------------------------------------------------------------------------

    \390\ Marcantonio, E.R., Kiely, D.K., Simon, S.E., John Orav, 
E., Jones, R.N., Murphy, K.M., & Bergmann, M.A. (2005). Outcomes of 
older people admitted to postacute facilities with delirium. Journal 
of the American Geriatrics Society, 53(6), 963-969. https://doi.org/10.1111/j.1532-5415.2005.53305.x.
---------------------------------------------------------------------------

    As we review new measure concepts, CMS will prioritize outcome 
measures that are evidenced-based.
7. Potential Revision of the Final Data Submission Deadline Period From 
4.5 Months to 45 Days--Request for Information
    Sections 1886(m)(5)(E) and 1899B(f) and (g) of the Act require CMS 
to provide feedback to LTCHs and to publicly report their performance 
on quality and other measures specified under the LTCH QRP. More 
specifically, sections 1886(m)(5)(E) and 1899B(f)(1) of the Act 
requires the Secretary to provide confidential feedback reports to 
LTCHs on their performance on the quality, resource use, and other 
measures specified for the LTCH QRP. Section 1899B(f)(2) of the Act 
provides that, to the extent feasible, the Secretary must make these 
confidential feedback reports available, except in the case of measures 
reported on an annual basis, in which case the confidential feedback 
reports may be made available annually. Additionally, sections 
1886(m)(5) and 1899B(g)(1) of the Act require the Secretary to provide 
for the public reporting of each LTCH's performance on the measures 
specified for the LTCH QRP by establishing procedures for making the 
performance data available to the public. Sections 1886(m)(5)(E) and 
1899B(g)(2) of the Act specifically require that such procedures must 
ensure, through a process consistent with the process applied under 
section 1886(b)(3)(B)(viii)(VII) of the Act, that LTCHs can review and 
submit corrections to the data and other information before it is made 
public.
    In accordance with section 1888(m)(5)(C) of the Act, we have 
established policies specifying the form and manner, and timing, for 
LTCHs to submit data on the measures as specified. In the FY 2012 IPPS/
LTCH PPS final rule (76 FR 51755 and 51756), we initially finalized for 
assessment-based measures that LTCHs could submit their data related to 
the New or Worsened Pressure Ulcers measure allowing 4.5 months 
(approximately 135 days) after the end of each quarter for submission 
of assessment data for the FY 2014 and FY 2015 payment update 
determinations. In the FY 2013 IPPS/LTCH PPS final rule (77 FR 53636 
and 53637), we finalized that LTCHs submit data quarterly for each of 
the finalized measures in the FY 2013 rule, submitting their data 
within approximately 135 days after the end of each quarter by which 
all data collected during that quarter must be submitted for the FY 
2015 payment determination. We also finalized in the FY 2013 rule that 
LTCHs would have a shorter data submission timeframe for each of the 
measures for the FY 2016 payment determination. Specifically, we 
finalized that, for each quarter of the FY 2016 payment determination, 
LTCHs would have approximately 45 days after the end of each quarter to 
submit data collected for that quarter (77 FR 53636 and 53637). 
However, in the FY 2016 IPPS/LTCH PPS final rule (80 FR 49749 through 
49751), we finalized requiring data submission within 4.5 months at the 
end of each calendar quarter, beginning with the FY 2017 LTCH QRP and 
FY 2018 LTCH QRP, unless otherwise specified for a measure. We proposed 
and finalized this modification to the LTCH QRP data submission 
deadline in order to align with the Inpatient Rehabilitation Facility 
Quality Reporting Program (IRF QRP) and Hospital IQR Program (80 FR 
49749 through 49751).
    Public reporting data collected under quality reporting programs, 
such as the LTCH QRP, are designed to provide consumers and their 
families with the most current information, so they can make quality-
informed decisions about where to receive their care. In the process of 
implementing the public reporting for the quality reporting programs, 
we have identified that the time between when data on measures is 
collected and submitted to us and when that data are publicly reported 
(that is, approximately nine months) may be too long to provide the 
most accurate and up to date information for the public. For example, 
through technical expert panels, we have received feedback from patient 
caregiver advocates that the aged data used in publicly reported 
quality measures diminishes their value to consumers.
    Currently, the largest contributing factor to the nine-month lag 
between the end of the data collection period and when measures are 
publicly reported is the 4.5-month timeframe for data submission. If 
the data submission timeframe was reduced from 4.5 months to 45 days, 
then the lag time between the end of the data collection period and 
public reporting of that data could be reduced by up to 3 months. This 
revised timeframe would result in more timely public reporting of data 
that may provide more value for consumers and families as they make 
decisions about where they may want to receive their care. 
Additionally, this timeframe provides LTCHs with more recent data to 
use in their quality improvement activities.
    An important consideration in reducing the data submission 
timeframe is the potential burden it may place on LTCHs, which could 
lead to fewer assessments submitted by the shorter 45-day data 
submission timeframe. We conducted an analysis to evaluate the 
potential impact of reducing the timeframe by determining how many 
assessments are currently being submitted within 45 days. Using 2023 
data, we identified that only 2.5 percent of all LCDS assessments were 
submitted after the 45-day timeframe. Of those submissions, close to 
three-fourths (or 1.8 percent of the total) were submitted between 45 
days and 4.5 months and hence have potential to be impacted.\391\ On 
these bases, we believe reducing the LTCH QRP data submission deadline 
from 4.5 months to 45 days would improve the timeliness of public 
reporting by one quarter, which could be beneficial to both consumers 
and LTCHs with limited change in burden to LTCHs.
---------------------------------------------------------------------------

    \391\ Internal CMS analysis of FY 2023 LCDS assessment data.
---------------------------------------------------------------------------

    We are requesting feedback on this potential future reduction of 
the LTCH QRP data submission deadline from 4.5 months to 45 days that 
is under consideration. Specifically, we are requesting comment on--
     How this potential change could improve the timeliness and 
actionability of LTCH QRP quality measures;
     How this potential change could improve public display of 
quality information; and
     How this potential change could impact LTCH workflows or 
require updates to systems.
    We intend to use this input to inform our program improvement 
efforts.
8. Advancing Digital Quality Measurement in the LTCH QRP--Request for 
Information
    As part of our effort to advance the digital quality measurement 
(dQM) transition, we are issuing this request for information (RFI) to 
gather broad public input on the dQM transition in LTCHs. In section 
X.B. of the preamble of this proposed rule, we also issue an RFI 
seeking input on the use of Health Level Seven[supreg] (HL7[supreg]) 
Fast Healthcare Interoperability Resources[supreg] (FHIR[supreg]) in 
certain CMS quality reporting and value-based purchasing programs.
a. Background
    We are committed to improving healthcare quality through 
measurement, transparency, and public

[[Page 18354]]

reporting of quality data, and to enhancing healthcare data exchange by 
promoting the adoption of interoperable health information technology 
(IT) that enables information exchange using FHIR[supreg] standards. 
Proposing to require the use of such technology within the LTCH QRP in 
the future could potentially enable greater care coordination and 
information sharing, which is essential for delivering high-quality, 
efficient care and better outcomes at a lower cost (86 FR 25615). In 
the fiscal years 2020, 2021, 2022, and 2023 IPPS/LTCH PPS proposed 
rules,\392\ we outlined several Department of Health and Human Services 
(HHS) initiatives aimed at promoting the adoption of interoperable 
health IT and facilitating nationwide health information exchange. 
Further, to inform our digital strategy, in the FY 2022 IPPS/LTCH PPS 
proposed rule (86 FR 25615), we shared and sought feedback on the 
following:
---------------------------------------------------------------------------

    \392\ ``Advancing Health Information Exchange'' in: FY 2020 
IPPS/LTCH PPS proposed rule (84 FR 19170), FY 2021 IPPS/LTCH PPS 
proposed rule (85 FR 32470), FY 2022 IPPS/LTCH PPS proposed rule (86 
FR 25085), and FY 2023 IPPS/LTCH PPS proposed rule (87 FR 28122).
---------------------------------------------------------------------------

     Our intent to explore the use of FHIR[supreg]-based 
standards to exchange clinical information through application 
programming interfaces (APIs).
     Enabling quality data submission to CMS through our 
internet Quality Improvement and Evaluation System (iQIES).
     To work with healthcare standards organizations to ensure 
their standards support our assessment tools.
    We are considering opportunities to advance FHIR[supreg]-based 
reporting of patient assessment data for the submission of the LCDS and 
other existing systems such as CDC's National Healthcare Safety Network 
(NHSN) for which LTCHs have current CMS reporting requirements. Our 
objective is to explore how LTCHs typically integrate technologies with 
varying complexity into existing systems and how this affects LTCH 
workflows. In this RFI, we seek to identify the challenges and/or 
opportunities that may arise during this integration, and determine the 
support needed to complete and submit quality data in ways that protect 
and enhance care delivery.
    We are also seeking input on future measures under consideration 
including applicability of interoperability as a future measure concept 
in post-acute care settings, including the LTCH QRP. Refer to section 
X.E.5. of the preamble of this proposed rule for more information.
    Any updates specific to the LTCH QRP program requirements related 
to quality measurement and reporting provisions would be addressed 
through separate and future notice-and-comment rulemaking, as 
necessary.
b. Solicitation for Comment
    We seek feedback on the current state of health IT use, including 
electronic health records (EHRs), in LTCH facilities:
     To what extent does your LTCH use health IT systems to 
maintain and exchange patient records? If your facility has 
transitioned to using electronic records, in part or in whole, what 
types of health IT does your LTCH use to maintain patient records? Are 
these health IT systems certified by the Office of the National 
Coordinator for Health Information Technology (ONC Health IT) 
Certification Program? If your facility uses health IT products or 
systems that are not certified under the ONC Health IT Certification 
Program, please specify. Does your facility use EHRs or other health IT 
products or systems that are not certified under the ONC Health IT 
Certification Program? If no, what is the reason for not doing so? Do 
these other systems exchange data using standards and implementation 
specifications adopted by HHS? Does your facility maintain any patient 
records outside of these electronic systems? If so, are the data 
organized in a structured format, using codes and recognized standards, 
that can be exchanged with other systems and providers?
     Does your LTCH submit patient assessment data to CMS 
directly from your health IT system without the assistance of a third-
party intermediary? If a third-party intermediary is used to report 
data, what type of intermediary service is used? How does your facility 
currently exchange health information with other healthcare providers 
or systems, specifically between LTCHs and other provider types? What 
about health information exchange with other entities, such as public 
health agencies? What challenges do you face with electronic exchange 
of health information?
     Are there any challenges with your current electronic 
devices (for example, tablets, smartphones, computers) that hinder your 
ability to easily exchange information across systems? Please describe 
any specific issues you encounter. Does limited internet or lack of 
internet connectivity impact your ability to exchange data with other 
healthcare providers, including community-based care services, or your 
ability to submit patient assessment data to CMS? Please specify.
     What steps does your LTCH take with respect to the 
implementation of health IT systems to ensure compliance with security 
and patient privacy requirements such as the requirements of the 
regulations promulgated under the Health Insurance Portability and 
Accountability Act (HIPAA) and related regulations?
     Does your LTCH refer to the Safety Assurance Factors for 
EHR Resilience (SAFER) Guides (see newly revised versions published in 
January 2025 at https://www.healthit.gov/topic/safety/safer-guides) to 
self-assess EHR safety practices?
     What challenges or barriers does your facility encounter 
when submitting quality measure data to CMS as part of the LTCH QRP? 
What opportunities or factors could improve your facility's successful 
data submission to CMS?
     What types of technical assistance, guidance, workforce 
trainings, and/or other resources would be most beneficial for the 
implementation of FHIR[supreg]-based technology in your facility for 
the submission of the LCDS to CMS and other existing systems such as 
CDC's National Healthcare Safety Network (NHSN) for which LTCHs have 
current CMS reporting requirements? What strategies can CMS, HHS or 
other Federal partners take to ensure that technical assistance is both 
comprehensive and user-friendly? How could Quality Improvement 
Organizations (QIOs) or other entities enhance this support?
     Is your facility using technology that utilizes APIs based 
on the FHIR[supreg] standard to enable electronic data sharing? If so, 
with whom are you sharing data using the FHIR[supreg] standard and for 
what purpose(s)? For example, have you used FHIR[supreg] APIs to share 
data with public health agencies? Does your facility use any 
Substitutable Medical Applications and Reusable Technologies (SMART) on 
FHIR[supreg] applications? If so, are the SMART on FHIR[supreg] 
applications integrated with your EHR or other health IT?
     How do you anticipate the adoption of technology using 
FHIR[supreg]-based APIs to facilitate the reporting of patient 
assessment data could impact provider workflows? What impact, if any, 
do you anticipate it will have on quality of care?
     What benefits or challenges have you experienced with 
implementing technology using FHIR[supreg]-based APIs? How can adopting 
technology using FHIR[supreg]-based APIs to facilitate the reporting of 
patient assessment data impact provider workflows? What

[[Page 18355]]

impact, if any, does adopting this technology have on quality of care?
     Does your facility have any experience using technology 
that shares electronic health information using one or more versions of 
the United States Core Data for Interoperability (USCDI) standard? 
\393\
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    \393\ For more information about USCDI see https://www.healthit.gov/isp/united-states-core-data-interoperability-uscdi.
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     Would your LTCH and/or vendors be interested in 
participating in testing to explore options for transmission of 
assessments, for example testing the transmission of a FHIR[supreg]-
based assessment to CMS?
     How could the Trusted Exchange Framework and Common 
AgreementTM (TEFCATM) support CMS quality 
programs' adoption of FHIR[supreg]-based assessment submissions 
consistent with the FHIR[supreg] Roadmap (available here: https://rce.sequoiaproject.org/three-year-fhir-roadmap-for-tefca/)? How might 
patient assessment data hold secondary uses for treatment or other 
TEFCA exchange purposes?
     What other information should we consider to facilitate 
successful adoption and integration of FHIR[supreg]-based technologies 
and standardized data for patient assessment instruments like the LCDS? 
We invite any feedback, suggestions, best practices, or success stories 
related to the implementation of these technologies.
    We invite any feedback, suggestions, best practices, or success 
stories related to the implementation of these technologies and will 
use this input to inform our future dQM transition efforts.
9. Form, Manner, and Timing of Data Submission Under the LTCH QRP
a. Background
    We refer readers to the regulatory text at Sec.  412.560(b) for 
information regarding the current policies for reporting specified data 
for the LTCH QRP.
b. Proposal To Modify Reporting Requirements for the Patient/Resident 
COVID-19 Vaccine Measure Beginning With the FY 2028 LTCH QRP.
    As discussed previously in section X.E.3. of the preamble of this 
proposed rule, we propose to modify reporting requirements for the 
Patient/Resident COVID-19 Vaccine measure in the LTCH QRP to exclude 
patients who have expired in the LTCH beginning with the FY 2028 LTCH 
QRP. Specifically, we propose that, beginning with patients admitted on 
or after October 1, 2026, LTCHs would no longer be required to submit 
the Patient/Resident COVID-19 Vaccine item (O0350) on the LCDS with 
respect to patients who have expired in the LTCH. We also propose to 
remove the Patient/Resident COVID-19 Vaccine item (O0350) from future 
LCDS forms that LTCHs use for expired patients. The remaining LCDS 
forms used for Planned Discharge and Unplanned Discharge would continue 
to include the Patient/Resident COVID-19 Vaccine item (O0350) for 
purposes of collecting and reporting data on the Patient/Resident 
COVID-19 Vaccine measure.
    We invite public comment on our proposal to modify reporting 
requirements for the Patient/Resident COVID-19 Vaccine measure in the 
LTCH QRP to exclude patients who have expired in the LTCH beginning 
patients who have expired on or after October 1, 2026, for the FY 2028 
LTCH QRP.
10. Policies Regarding Public Display of Measure Data for the LTCH QRP
    We are not proposing any new policies regarding the public display 
of measure data in this proposed rule. For a more detailed discussion 
about our policies regarding public display of LTCH QRP measure data 
and procedures for the opportunity to review and correct data and 
information, we refer readers to the FY 2017 IPPS/LTCH PPS final rule 
(81 FR 57231 through 57236).

F. Proposed Changes to the Medicare Promoting Interoperability Program

1. Statutory Authority for the Medicare Promoting Interoperability 
Program for Eligible Hospitals and Critical Access Hospitals (CAHs)
    Sections 1886(b)(3)(B)(ix) and 1814(l)(4) of the Act (as amended by 
the Health Information Technology for Economic and Clinical Health Act, 
Title XII of Division A and Title IV of Division B of the American 
Recovery and Reinvestment Act of 2009 (ARRA), Pub. L. 111-5) authorize 
downward payment adjustments under Medicare, beginning with FY 2015 for 
eligible hospitals and CAHs that do not successfully demonstrate 
meaningful use of certified electronic health record technology (CEHRT) 
for the applicable electronic health record (EHR) reporting periods. 
Section 602 of Title VI, Division O of the Consolidated Appropriations 
Act, 2016 (Pub. L. 114-113) added subsection (d) hospitals in Puerto 
Rico as eligible hospitals under the Medicare EHR Incentive Program and 
extended the participation timeline for these hospitals such that 
downward payment adjustments were authorized beginning in FY 2022 for 
section (d) Puerto Rico hospitals that do not successfully demonstrate 
meaningful use of CEHRT for the applicable EHR reporting periods.
2. Proposal To Define the EHR Reporting Period in CY 2026 and 
Subsequent Years
a. Proposal To Define the EHR Reporting Period
    Under the definition of ``EHR reporting period for a payment 
adjustment year'' at 42 CFR 495.4, for eligible hospitals and CAHs in 
the Medicare Promoting Interoperability Program, the EHR reporting 
period in CY 2025 is a minimum of any continuous 180-day period within 
CY 2025 as finalized in the FY 2024 IPPS/LTCH PPS final rule (88 FR 
59259 through 59260). This applies to eligible hospitals and CAHs that 
are both new and returning participants in the Medicare Promoting 
Interoperability Program. We had previously maintained the EHR 
reporting period for a payment adjustment year as a minimum of any 
continuous 90-day period from CY 2015 through CY 2023 for eligible 
hospitals and CAHs for the Medicare Promoting Interoperability Program 
before increasing the length of the EHR reporting period to any 
continuous 180-days beginning with CY 2024. Maintaining a 180-day EHR 
reporting period for CY 2026 and subsequent years would provide 
consistency with the EHR reporting period established for CY 2025 and 
afford eligible hospitals and CAHs the flexibility they may need to 
work with their chosen EHR vendors on continuing to develop, update, 
implement, and test their EHR systems to maintain effective use of 
CEHRT.
    Therefore, for eligible hospitals and CAHs that are new or 
returning participants in the Medicare Promoting Interoperability 
Program, for the EHR reporting period in CY 2026 and subsequent years, 
we propose to maintain the EHR reporting period for a payment 
adjustment year as a minimum of any continuous 180-day period within 
the calendar year. A 180-day EHR reporting period would be the minimum 
length, and eligible hospitals and CAHs are encouraged to use longer 
periods, up to and including the full calendar year. We propose 
corresponding revisions to the definition of ``EHR reporting period for 
a payment adjustment year'' at 42 CFR 495.4. In collaboration with the 
Assistant Secretary for Technology Policy and Office of the National 
Coordinator for Health Information Technology (ONC) (collectively 
referred

[[Page 18356]]

to as ASTP),\394\ we will continue to monitor CEHRT utilization by 
eligible hospitals and CAHs to determine if a longer EHR reporting 
period may be appropriate in the future.
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    \394\ On July 29, 2024, notice was posted in the Federal 
Register that ONC would be dually titled to the Assistant Secretary 
for Technology Policy and Office of the National Coordinator for 
Health Information Technology (ASTP) (89 FR 60903).
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    We invite public comment on this proposal to define the ``EHR 
reporting period for a payment adjustment year'' in CY 2026 and 
subsequent years as a minimum of any continuous 180-day period within 
that calendar year for eligible hospitals and CAHs participating in the 
Medicare Promoting Interoperability Program and to make corresponding 
revisions at 42 CFR 495.4.
b. Certified EHR Technology
    In the FY 2025 IPPS/LTCH PPS final rule we discussed certain 
revisions to the CEHRT definition impacting eligible hospitals and 
CAHs. We refer readers to this discussion for more information (89 FR 
69613 through 69614).
    In this proposed rule, we remind readers of recent updates to ONC 
Health Information Technology (Health IT) Certification Program 
certification criteria that are referenced or incorporated within the 
definition of certified EHR technology (CEHRT) in 42 CFR 495.4. The 
definition of CEHRT includes EHR technology certified under the ONC 
Health IT Certification Program that meets the Base EHR definition at 
45 CFR 170.102, technology certified to the criteria necessary to be a 
meaningful EHR user under the Medicare Promoting Interoperability 
Program and the Merit-Based Incentive Payment System (MIPS) Promoting 
Interoperability performance category, and technology certified to the 
criteria necessary to report on applicable objectives and measures.
    In addition to the health IT certification criteria named in the 
CEHRT definition in 42 CFR 495.4, in order to meet the Base EHR 
definition, EHR technology \395\ must, among other things, be certified 
to certain certification criteria specified in the Base EHR definition, 
while further health IT certification criteria in 45 CFR 170.315 are 
incorporated into the CEHRT definition as criteria necessary to be a 
meaningful EHR user consistent with paragraph (2)(ii) of the CEHRT 
definition in 42 CFR 495.4 (ONC health IT certification criteria 
required to meet Medicare Promoting Interoperability Program objectives 
and measures are listed in Table [X.F.-05]). As finalized in the 
Medicare and Medicaid Programs; CY 2024 Payment Policies Under the 
Physician Fee Schedule and Other Changes to Part B Payment and Coverage 
Policies; Medicare Shared Savings Program Requirements; Medicare 
Advantage; Medicare and Medicaid Provider and Supplier Enrollment 
Policies; and Basic Health Program final rule, technology meeting the 
CEHRT definition must meet ONC's health IT certification criteria ``as 
adopted and updated in 45 CFR 170.315'' (88 FR 79553). For EHR 
technology to meet the CEHRT definition in CY 2026, it will be required 
to be certified to applicable certification criteria in 45 CFR 170.315 
in CY 2026.
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    \395\ We refer here to ``EHR technology'' for the sake of 
simplicity. The definition of Base EHR in 45 CFR 170.102 applies to 
``an electronic record of health-related information on an 
individual.''
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    In the Health Data, Technology, and Interoperability: Certification 
Program Updates, Algorithm Transparency, and Information Sharing (HTI-
1) final rule (89 FR 1205 through 1210), ONC adopted the certification 
criterion, ``decision support interventions (DSI)'' in 45 CFR 
170.315(b)(11) to replace the ``clinical decision support (CDS)'' 
certification criterion in 45 CFR 170.315(a)(9), the latter of which is 
included in the Base EHR definition (89 FR 1236). The finalized DSI 
criterion in 45 CFR 170.315(b)(11) requires that Health IT Modules 
must, among other functions, enable a limited set of identified users 
to select (that is, activate) evidence-based DSIs and Predictive DSIs 
(as defined in 45 CFR 170.102) \396\ and support ``source attributes'' 
\397\--categories of technical performance and quality information--for 
both evidence-based and Predictive DSIs. ONC further finalized that a 
Health IT Module may meet the Base EHR definition by either being 
certified to the existing CDS version of the certification criterion in 
45 CFR 170.315(a)(9) or being certified to the revised DSI criterion in 
45 CFR 170.315(b)(11), for the period up to, and including, December 
31, 2024. On and after January 1, 2025, ONC finalized that only the DSI 
criterion in 45 CFR 170.315(b)(11) is included in the Base EHR 
definition. ONC further finalized that the adoption of the criterion in 
45 CFR 170.315(a)(9) expired on January 1, 2025 (89 FR 1281).
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    \396\ 45 CFR 170.315(b)(11)(iii)(A) and (B).
    \397\ 45 CFR 170.315(b)(11)(iv)(A) and (B).
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    In addition to the DSI criterion, to which Health IT Modules must 
be certified to meet the Base EHR definition after January 1, 2025, ONC 
finalized other updates in the HTI-1 final rule, for which health IT 
developers must update and provide Health IT Modules to their customers 
by January 1, 2026. These include updates resulting from the following 
finalized policies:
     The ``Transmission to public health agencies--electronic 
case reporting'' criterion in 45 CFR 170.315(f)(5) was updated to 
specify consensus-based, industry-developed electronic standards and 
implementation guides (IGs) to replace functional, descriptive 
requirements in the existing criterion (89 FR 1226). We have identified 
this criterion as required for the Electronic Case Reporting measure.
     The United States Core Data for Interoperability (USCDI) 
version 3 was adopted in 45 CFR 170.213(b), and ONC finalized that 
USCDI version 1 in 45 CFR 170.213(a) will expire on January 1, 2026. 
This change impacts several ONC health IT certification criteria that 
reference the USCDI, including the ``transitions of care'' 
certification criterion in 45 CFR 170.315(b)(1), the ``Clinical 
information reconciliation and incorporation--Reconciliation'' 
certification criterion in 45 CFR 170.315(b)(2) and the ``View, 
download, and transmit to 3rd party'' certification criterion in 45 CFR 
170.315(e) (89 FR 1210). The ``transitions of care'' certification 
criterion in 45 CFR 170.315(b)(1) is included in the ``Base EHR 
definition'' while the ``Clinical information reconciliation and 
incorporation--Reconciliation'' certification criterion in 45 CFR 
170.315(b)(2) is required for the ``Support Electronic Referral Loops 
by Receiving and Reconciling Health Information'' measure and the 
``View, download, and transmit to 3rd party'' certification criterion 
is required for the ``Provide Patients Electronic Access to their 
Health Information'' measure.
     The ``standardized application programming interface (API) 
for patient and population services'' certification criterion in 45 CFR 
170.315(g)(10), which is included in the Base EHR definition, was 
updated to include newer versions of certain standards, including USCDI 
version 3 and updated functionality to support the criterion (89 FR 
1283).
    For complete information about the updates to ONC health IT 
certification criteria finalized in the HTI-1 final rule, we refer 
readers to the text of the final rule (89 FR 1192) as well as resources 
available on ASTP's website.\398\
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    \398\ For more information, see: https://www.healthit.gov/topic/laws-regulation-and-policy/health-data-technology-and-interoperability-certification-program.

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[[Page 18357]]

3. Proposal To Modify the Security Risk Analysis Measure
a. Background on the Security Risk Analysis Measure
    The Health Insurance Portability and Accountability Act of 1996 
(HIPAA), as implemented in the HIPAA Security Rule \399\ (45 CFR part 
160 and subparts A and C of 45 CFR part 164) contains, among other 
things, the administrative safeguards that covered entities and 
business associates (45 CFR 160.103) must implement, such as the 
standard and implementation specifications for security management 
process. Among those safeguards are implementation specifications that 
require covered entities and business associates to conduct an accurate 
and thorough assessment of the potential risks and vulnerabilities to 
the confidentiality, integrity, and availability of electronic 
protected health information (ePHI) held by the covered entity or 
business associate (45 CFR 164.308(a)(1)(ii)(A)) and to implement 
security measures sufficient to reduce risks and vulnerabilities to a 
reasonable and appropriate level to comply with the general 
requirements of the HIPAA Security Rule at 45 CFR 164.306(a) and the 
risk management requirements at 45 CFR 164.308(a)(1)(ii)(B).
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    \399\ The Department has proposed to modify the HIPAA Security 
Rule to strengthen the cybersecurity of electronic protected health 
information, including proposals to revise the existing requirements 
to conduct a risk analysis and risk management. See generally HIPAA 
Security Rule To Strengthen the Cybersecurity of Electronic 
Protected Health Information proposed rule (90 FR 898).
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    For eligible hospitals and CAHs participating in the Medicare 
Promoting Interoperability Program, ensuring the privacy and security 
of ePHI is essential for demonstrating meaningful use of CEHRT. In both 
the Medicare and Medicaid Programs; Electronic Health Record Incentive 
Program-Stage 2 final rule (Stage 2 final rule) (77 FR 54002 through 
54003) and the Medicare and Medicaid Programs; Electronic Health Record 
Incentive Program-Stage 3 and Modifications to Meaningful Use in 2015 
through 2017 final rule (Stage 3 final rule) (80 FR 62793 through 
62794), we discussed the benefits of safeguarding electronic health 
information and our determination that protecting electronic health 
information is essential to all other aspects of meaningful use. We 
also noted that unintended, unlawful, or both, disclosures of protected 
health information could diminish individuals' confidence in EHRs and 
electronic health information exchange and that ensuring that health 
information is adequately protected and secured will assist in 
addressing the unique risks and challenges that may be presented by 
EHRs.
    We previously adopted the Security Risk Analysis measure based on 
the HIPAA Security Rule risk analysis requirement in 45 CFR 
164.308(a)(1). Information on the adoption of this measure can be found 
in several rules that established Medicare and Medicaid EHR Incentive 
Programs requirements, including the Medicare and Medicaid Programs; 
Electronic Health Record Incentive Program final rule (Stage 1 final 
rule) (75 FR 44369), Stage 2 final rule (77 FR 54002 and 54003), Stage 
3 final rule (80 FR 62793 through 62794), and the FY 2019 IPPS/LTCH PPS 
final rule (83 FR 41644). In the Stage 3 final rule (80 FR 62793 
through 62795 and 62829 through 62832), we adopted the Protect Patient 
Health Information objective and include the Security Risk Analysis 
measure within this important objective.
    The Security Risk Analysis measure requires eligible hospitals and 
CAHs to attest ``yes'' or ``no'' as to whether they have conducted or 
reviewed a security risk analysis, as required under the HIPAA Security 
Rule at 45 CFR 164.308(a)(1)(ii)(A). Eligible hospitals and CAHs must 
attest ``yes'' to the measure to be considered a meaningful EHR user. 
The measure is not scored and does not contribute any points to the 
total score for eligible hospitals and CAHs for the Protect Patient 
Health Information objective and measures. An attestation of ``no'' 
results in the eligible hospital or CAH not meeting the measure and not 
satisfying the definition of a meaningful EHR user under 42 CFR 495.4, 
subjecting the eligible hospital or CAH to a downward payment 
adjustment.
b. Proposal To Modify the Security Risk Analysis Measure Beginning With 
the EHR Reporting Period in CY 2026
    While the Security Risk Analysis measure currently requires 
eligible hospitals and CAHs to attest to conducting a security risk 
analysis as required under the HIPAA Security Rule, the Security Risk 
Analysis measure does not currently require eligible hospitals and CAHs 
to manage their security risk conduct or to attest to having 
implemented security measures to manage their security risk. Codified 
at 45 CFR 164.308(a)(1)(ii)(B), the HIPAA Security Rule implementation 
specification for risk management requires the implementation of 
security measures sufficient to reduce risks and vulnerabilities to a 
reasonable and appropriate level to comply with 45 CFR 164.306(a). We 
note the HIPAA Security Rule does not prescribe a specific methodology 
for conducting and documenting a risk analysis or managing risk (45 CFR 
164.308(a)(1)(ii) and 164.316(b)(1)). We refer readers to the Security 
Risk Assessment Tool (https://www.healthit.gov/topic/privacy-security-and-hipaa/security-risk-assessment-tool), for informational purposes, 
that may help guide some organization types. This tool was developed by 
ASTP in collaboration with the U.S. Department of Health and Human 
Services (HHS) Office for Civil Rights (OCR), and OCR's cybersecurity 
newsletters,\400\ for educational resources on conducting a security 
risk assessment as required by the HIPAA Security Rule. Additional 
information is also available in the National Institute of Standard and 
Technology (NIST) special publication, Implementing the Health 
Insurance Portability and Accountability Act (HIPAA) Security Rule: A 
Cybersecurity Resource Guide.\401\
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    \400\ See generally https://www.hhs.gov/hipaa/for-professionals/security/guidance/index.html.
    \401\ See NIST SP 800-66, rev. 2. https://csrc.nist.gov/pubs/sp/800/66/r2/final.
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    We propose to modify the existing Security Risk Analysis measure to 
require eligible hospitals and CAHs to attest ``yes'' to having 
conducted security risk management as required under the HIPAA Security 
Rule implementation specification for risk management. This would be in 
addition to the current requirement under the measure for eligible 
hospitals and CAHs to attest ``yes'' to having conducted or reviewed a 
security risk analysis. Under the proposed modified measure, eligible 
hospitals and CAHs would be required to attest that they have 
implemented policies and procedures to support analyzing and managing 
the security risks to ePHI associated with the implementation and use 
of EHRs as required by the HIPAA Security Rule implementation 
specifications for risk analysis and risk management as described in 45 
CFR 164.308(a)(1)(ii)(A) and (B). The modifications we propose to the 
Security Risk Analysis measure would increase accountability among 
eligible hospitals and CAHs that have not taken steps to reduce risks 
and vulnerabilities to ePHI as required by the HIPAA Security Rule and 
would provide transparency regarding the efforts of eligible hospitals 
and CAHs that are already taking steps to manage this risk.
    The proposed text of the measure is as follows, with new or revised 
proposed text in italics:


[[Page 18358]]


    Conduct or review a security risk analysis and conduct security 
risk management activities, in accordance with the requirements 
under 45 CFR 164.308(a)(1)(ii)(A) and (B), including addressing the 
security of data created or maintained by CEHRT (to include 
encryption), in accordance with 45 CFR 164.312(a)(2)(iv) and 45 CFR 
164.306(d)(3), implement security updates as necessary, and correct 
identified security deficiencies as part of the eligible hospital's 
or CAH's risk management process. Actions included in the security 
risk analysis measure may occur any time during the calendar year in 
which the EHR reporting period occurs.

    To meet the requirements of the modified measure, we propose 
eligible hospitals and CAHs would need to separately attest ``yes'' to 
both components of the proposed revised measure. An eligible hospital 
or CAH would be required to both attest ``yes'' that they have met the 
existing security risk analysis requirement component, and attest 
``yes'' that they have met the security risk management component of 
the modified Security Risk Analysis measure to be considered a 
meaningful EHR user beginning with the EHR reporting period in CY 2026. 
This proposed modification would not impact the provision that actions 
included in the Security Risk Analysis measure may occur any time 
during the calendar year in which the EHR reporting period occurs and 
that an eligible hospital or CAH must use the capabilities and 
standards as defined for CEHRT at 42 CFR 495.4. The proposal to modify 
the Security Risk Analysis measure would not change the current scoring 
approach and would not contribute any points towards the eligible 
hospital or CAH's total score for the objectives and measures. An 
eligible hospital or CAH that attests ``no'' to either the risk 
analysis component or the risk management component, or to both 
components, would not meet the proposed measure requirements and would 
not satisfy the definition of a meaningful EHR user under 42 CFR 495.4, 
subjecting the eligible hospital or CAH to a downward payment 
adjustment.
    We invite public comment on this proposal to modify the Security 
Risk Analysis measure to require eligible hospitals and CAHs to attest 
``yes'' to having conducted security risk management in addition to the 
current requirement under the measure for eligible hospitals and CAHs 
to attest ``yes'' to having conducted or reviewed a security risk 
analysis as required under the HIPAA Security Rule. We also invite 
public comment regarding compliance with security risk management 
requirements and the potential impact the proposed modification to the 
Security Risk Analysis measure would have on risk management compliance 
and any potential burden from this proposal.
4. Proposal To Modify the Safety Assurance Factors for EHR Resilience 
(SAFER) Guides Measure
a. Background on the SAFER Guides Measure
    The SAFER Guides are an evidence-based set of recommendations in 
the form of nine stand-alone, subject-oriented chapters that present 
the health IT community, including eligible hospitals and CAHs that use 
health IT, with best practice recommendations to improve the safety and 
safe use of EHRs.\402\ The SAFER Guides were first released in 2014 and 
updated in 2016. In the FY 2022 IPPS/LTCH PPS final rule (86 FR 45479 
through 45481), we adopted the SAFER Guides measure under the Protect 
Patient Health Information objective beginning with the EHR reporting 
period in CY 2022. In the FY 2024 IPPS/LTCH PPS final rule, we modified 
the requirements for the SAFER Guides measure beginning with the EHR 
reporting period in CY 2024 to require eligible hospitals and CAHs to 
attest ``yes'' to conducting an annual self-assessment using all nine 
of the 2016 SAFER Guides to be considered a meaningful EHR user (88 FR 
59262 through 59266).
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    \402\ ASTP SAFER Guides--https://www.healthit.gov/topic/safety/safer-guides.
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b. Proposal To Modify the SAFER Guides Measure Beginning With the EHR 
Reporting Period in CY 2026
    In January 2025, ASTP published an updated set of SAFER Guides 
(hereafter referred to as the 2025 SAFER Guides, located at https://www.healthit.gov/topic/safety/safer-guides). The 2025 SAFER Guides 
consist of eight guides organized into three broad groups of 
Foundational Guides, Infrastructure Guides, and Clinical Process 
Guides.\403\ All guides have been edited and contain new 
recommendations as well as the comprehensive consolidation of 
recommendations that were similar and overlap in function or intent 
with the 2016 SAFER Guides. For example, the ``System Configuration'' 
and ``System Interfaces'' chapters have been consolidated into a single 
chapter titled, ``System Management.'' The entirety of the content 
recommendations, bibliography, and implementation guidance have been 
organized into a comprehensive table, which promotes the adoption of 
best safety practices for health IT. This update represents the most 
comprehensive revision of the SAFER Guides since they were first 
released. Table X.F.-01 provides the titles of the various guides, and 
chapters within the guides, that collectively comprise the 2016 SAFER 
Guides and the 2025 SAFER Guides, respectively.
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    \403\ ASTP SAFER Guides--https://www.healthit.gov/topic/safety/safer-guides.

  Table X.F.-01--Comparison of the 2016 Safer Guides and the 2025 Safer
                                 Guides
------------------------------------------------------------------------
          Category              2016 SAFER Guides     2025 SAFER Guides
------------------------------------------------------------------------
 Foundational Guides........   High          High
                               Priority Practices.   Priority Practices.
                                            
                               Organizational        Organizational
                               Responsibilities.     Responsibilities.
 Infrastructure Guides......   Contingency   Contingency
                               Planning.             Planning.
                               System        System
                               Configuration.        Management.
                               System
                               Interfaces.
 Clinical Process Guides....   Patient       Patient
                               Identification.       Identification.
                                            
                               Computerized          Computerized
                               Provider Order        Provider Order
                               Entry with Decision   Entry with Decision
                               Support.              Support.
                               Test          Test
                               Results Reporting     Results Reporting
                               and Follow-Up.        and Follow-Up.
                               Clinician     Clinician
                               Communication.        Communication.
------------------------------------------------------------------------

    We propose to modify the SAFER Guides measure by requiring eligible 
hospitals and CAHs to attest ``yes'' to completing an annual self-
assessment using all eight 2025 SAFER Guides to be considered a 
meaningful EHR user,

[[Page 18359]]

beginning with the EHR reporting period in CY 2026. During FY 2024 
IPPS/LTCH PPS rulemaking, some commenters believed the 2016 SAFER 
Guides were outdated and recommended that CMS and ONC review and make 
updates. Some commenters questioned the relevancy of the [2016] SAFER 
Guides to patient safety in hospitals due to the rapid advancement of 
health IT (88 FR 59264 through 59265). Our proposal to update the SAFER 
Guides measure will address these concerns because the 2025 SAFER 
guides have been updated and streamlined to focus on the highest risk, 
most commonly occurring issues that can be addressed through technology 
or practice changes to build system resilience and have been condensed 
into eight SAFER Guides rather than nine.
    The proposed text of the measure is as follows: Conduct an annual 
self-assessment using all eight of the 2025 SAFER Guides at any point 
during the calendar year in which the EHR reporting period occurs, 
beginning with the EHR reporting period in CY 2026 and subsequent 
years. We note that our proposed version of the measure referencing the 
2025 SAFER Guides would only be effective starting with EHR reporting 
periods in CY 2026. During EHR reporting periods in CY 2025, eligible 
hospitals and CAHs should continue to use the 2016 SAFER Guides. Both 
the 2016 and the 2025 SAFER Guides are available on the ASTP website: 
https://www.healthit.gov/topic/safety/safer-guides. We encourage 
eligible hospitals and CAHs to begin to familiarize themselves with the 
2025 SAFER Guides during CY 2025.
    We invite public comment on this proposal for eligible hospitals 
and CAHs to conduct an annual self-assessment using all eight of the 
2025 SAFER Guides at any point during the calendar year in which the 
EHR reporting period occurs, beginning with the EHR reporting period in 
CY 2026 and subsequent years.
5. Proposal To Modify the Public Health and Clinical Data Exchange 
Objective: Adoption of an Optional Bonus Measure for Public Health 
Reporting Using the Trusted Exchange Framework and Common 
AgreementTM (TEFCA)
a. Background on the Public Health and Clinical Data Exchange Objective
    The Medicare Promoting Interoperability Program for eligible 
hospitals and CAHs encourages health information exchange for public 
health purposes through the Public Health and Clinical Data Exchange 
objective. Effective and efficient responses to public health events 
require rapid, accurate exchange of electronic health information 
between health care providers, including eligible hospitals and CAHs, 
and Federal, State, Tribal, local, and territorial public health 
agencies (PHAs). Health care providers, including eligible hospitals 
and CAHs, collect this electronic health information for patient care, 
and PHAs use the information for public health purposes such as 
tracking a disease, initiating contact tracing, or pinpointing the 
source of a disease or outbreak of foodborne illness.
    There are currently eight measures under the Public Health and 
Clinical Data Exchange objective: Immunization Registry Reporting, 
Syndromic Surveillance Reporting, Electronic Case Reporting, Electronic 
Laboratory Reporting, Antimicrobial Use Surveillance, Antimicrobial 
Resistance Surveillance, Public Health Registry Reporting, and Clinical 
Data Registry Reporting. Six of these measures are required under the 
objective, while two, the Public Health Registry Reporting and Clinical 
Data Registry Reporting, are optional bonus measures. Eligible 
hospitals and CAHs may receive a total of 5 bonus points for reporting 
on one or both optional bonus measures.
    Measures under the Public Health and Clinical Data Exchange 
objective promote the exchange of health information for specific 
public health use cases with PHAs and other entities using CEHRT. 
However, one difficulty with the electronic exchange of health 
information for many different public health purposes is that exchange 
between PHAs and eligible hospitals and CAHs requires different 
processes. For instance, health information exchange for Electronic 
Case Reporting may be based on several point-to-point connections among 
eligible hospitals, CAHs, intermediaries, and PHAs, but these 
connections and agreements are different for other use cases such as 
Electronic Laboratory Reporting or Syndromic Surveillance. We 
anticipate that participation in TEFCA could help reduce the difficulty 
of public health information exchange over time by creating a common 
governance and technical framework for health information exchange. 
Facilitating health information exchange with PHAs through the TEFCA 
framework has the potential to increase standardization of connections 
to PHAs and reduce reporting burden for eligible hospitals, CAHs, and 
PHAs.
b. Background on TEFCA
    Section 4003(b) of the 21st Century Cures Act, enacted in 2016, 
amended section 3001(c) of the Public Health Service Act and required 
HHS to take steps to ensure full network-to-network exchange of health 
information. Specifically, in section 3001(c)(9)(A) of the Public 
Health Service Act, Congress directed the National Coordinator, in 
collaboration with NIST and other agencies within HHS, to ``develop or 
support a trusted exchange framework, including a common agreement 
among health information networks nationally.'' Since the enactment of 
the 21st Century Cures Act, HHS has pursued development of the TEFCA 
framework.
    By standardizing health information exchange across many different 
networks, TEFCA helps to ensure nationwide network-to-network exchange 
of health information. Standardization across networks simplifies 
health information exchange by reducing the number of connections that 
health care providers, including eligible hospitals and CAHs, PHAs, and 
other interested parties need to make to send and receive health 
information. TEFCA supports this standardization by creating baseline 
governance, legal, and technical requirements that enable secure health 
information exchange across different networks nationwide, including: a 
common method for authenticating trusted network participants, a common 
set of rules for trusted exchange, organizational and operational 
policies to enable the exchange of health information among networks, 
and a process for filing and adjudicating noncompliance with the terms 
of the Common Agreement.\404\ We anticipate that TEFCA can help expand 
the nationwide availability of secure health information exchange 
capabilities in public health reporting.
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    \404\ Additional information on TEFCA can be found on the ASTP 
website, available at: https://www.healthit.gov/topic/interoperability/policy/trusted-exchange-framework-and-common-agreement-tefca.
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    CMS, the Centers for Disease Control and Prevention (CDC), and ASTP 
have been working closely with PHAs and other interested parties to 
expand the use of TEFCA for sharing health information for public 
health purposes. TEFCA is an important part of a shared vision for 
building a modernized public health infrastructure that connects 
previously siloed public health and health care systems. Early efforts 
to enable public health reporting through TEFCA exchange have focused 
on electronic case reporting, which is likely

[[Page 18360]]

to be the primary mechanism of public health information exchange 
supported by entities that are part of TEFCA during 2026.
c. Proposal To Add an Optional Bonus Measure Under the Public Health 
and Clinical Data Exchange Objective Beginning With the EHR Reporting 
Period in CY 2026
    We propose to add an optional bonus measure under the Public Health 
and Clinical Data Exchange objective for health information exchange 
with a PHA that occurs using TEFCA. Specifically, beginning with the 
EHR reporting period in CY 2026, we propose the following optional 
bonus measure:
     Public Health Reporting Using TEFCA. The eligible hospital 
or CAH: (1) participates as a signatory to a Framework Agreement (as 
that term is defined by the Common Agreement for Nationwide Health 
Information Interoperability as published in the Federal Register and 
on ASTP's website); (2) is not suspended; (3) submits health 
information using TEFCA to a PHA consistent with one or more of the 
measures under the Public Health and Clinical Data Exchange objective; 
(4) is in active engagement Option 2 (validated data production) with a 
PHA to transfer health information for one or more of the measures 
under the Public Health and Clinical Data Exchange objective; and (5) 
uses the functions of CEHRT to exchange with the PHA.
    Under our proposal, an eligible hospital or CAH would be able to 
claim 5 bonus points under the Public Health and Clinical Data Exchange 
objective if the eligible hospital or CAH has attested that they are in 
active engagement (Option 2) with a PHA to submit electronic production 
data for one or more of the measures under the Public Health and 
Clinical Data Exchange objective using TEFCA. As previously finalized 
in the FY 2023 IPPS/LTCH final rule (87 FR 49339), for the measures in 
the Public Health and Clinical Data Exchange objective, eligible 
hospitals and CAHs are required to report their level of active 
engagement as either Option 1 (pre-production and validation) or Option 
2 (validated data production), and may only spend one EHR reporting 
period at the pre-production and validation level of active engagement 
(Option 1) before advancing to Option 2 (validated data production) to 
fulfill measure requirements. Under our proposal, the bonus measure 
would only be available where the eligible hospital or CAH is in active 
engagement Option 2 (validated data production) with a PHA to transfer 
health information for one or more of the measures under the Public 
Health and Clinical Data Exchange objective.
    Furthermore, under our proposal, to attest ``yes'' for the Public 
Health Reporting Using TEFCA optional bonus measure, an eligible 
hospital or CAH must be a signatory to a TEFCA Framework 
Agreement,\405\ meaning either the Common Agreement or an agreement 
that includes the Participant/Sub-participant Terms of 
Participation,\406\ and is not suspended under the respective 
agreement.
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    \405\ The Common Agreement defines ``Framework Agreement(s)'' 
as: ``any one or combination of the Common Agreement, a Participant-
QHIN Agreement, a Participant-Subparticipant Agreement, or a 
Downstream Subparticipant Agreement, as applicable.'' See Common 
Agreement for Nationwide Health Information Interoperability Version 
2.1 (Nov 2024) https://www.healthit.gov/sites/default/files/2024-11/Common_Agreement_2.1.pdf.
    \406\ Participant/Subparticipant Terms of Participation (Apr. 
2024), https://rce.sequoiaproject.org/wp-content/uploads/2024/05/Common-Agreement-v2.0-Exhibit-1_508.pdf.
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    In addition, to attest ``yes'' for this bonus measure, an eligible 
hospital or CAH must transmit electronic health information for at 
least one measure under the Public Health and Clinic Data Exchange 
objective using TEFCA.
    For more information about exchange of public health data using 
TEFCA, we refer readers to the TEFCA Public Health Exchange Purpose 
Implementation Standard Operating Procedure (SOP).\407\ The Public 
Health Exchange Purpose Implementation SOP currently identifies 
electronic case reporting and electronic laboratory reporting as 
exchange use cases, but the SOP can also be used for any allowable 
public health purpose. CDC, ASTP, and others are focused on 
establishing a foundation for health care providers, including eligible 
hospitals and CAHs, to use TEFCA to meet their public health reporting 
needs for the benefit of both public health and clinical care.
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    \407\ For more information, see https://rce.sequoiaproject.org/wp-content/uploads/2024/08/XP-Implementation-SOP-Public-Health-PH.pdf.
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    Finally, the eligible hospital or CAH must use the functions of 
CEHRT to engage in exchange with a PHA. We believe there are numerous 
certified health IT capabilities that can support exchange under a 
TEFCA Framework Agreement with a PHA. For instance, eligible hospitals 
or CAHs may exchange information under a TEFCA Framework Agreement by 
using technology certified to the health IT certification criteria, 
``Transmission to public health agencies--reportable laboratory tests 
and value/results'' at 45 CFR 170.315(f)(3) and ``Transmission to 
public health agencies--electronic case reporting'' at 45 CFR 
170.315(f)(5). Both criteria are associated with the exchange use cases 
currently identified under the TEFCA Public Health Exchange Purpose 
Implementation SOP. We further recognize that eligible hospitals and 
CAHs may connect to entities that connect directly or indirectly to a 
Qualified Health Information Network\TM\ \408\ (QHIN) using certified 
health IT in a variety of ways. This includes the other ONC health IT 
certification criterion at 45 CFR 170.315(f) associated with the Public 
Health and Clinical Data Exchange objective measures, and we believe 
that we should allow for substantial flexibility in how eligible 
hospitals and CAHs use certified health IT to exchange health 
information under a TEFCA Framework Agreement. We invite public comment 
on health IT certification criteria that can support the proposed bonus 
measure.
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    \408\ A Qualified Health Information Network is a health 
information network that facilitates TEFCA exchange by undergoing 
technology and security testing, onboarding, and designation. For 
more information, see: https://www.healthit.gov/topic/interoperability/policy/trusted-exchange-framework-and-common-agreement-tefca.
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    We propose that an eligible hospital or CAH may earn a total of 5 
bonus points if it attests ``yes'' for one of the following optional 
bonus measures: the Public Health Reporting Using TEFCA measure, the 
Public Health Registry Reporting measure, or the Clinical Data Registry 
Reporting measure. Eligible hospitals and CAHs may attest ``yes'' to 
more than one, but the eligible hospital or CAH can only earn a total 
of 5 bonus points even if it attests ``yes'' to multiple bonus 
measures. Because the Public Health Reporting Using TEFCA measure would 
be an optional bonus measure, we are not proposing any exclusions. We 
are also proposing that if an eligible hospital or CAH uses TEFCA to 
fulfill any of the required Public Health and Clinical Data Exchange 
objective measures, such as Electronic Case Reporting or Electronic 
Laboratory Reporting, that eligible hospital or CAH would be able to 
claim the 5 bonus points if it attests ``yes'' to the Public Health 
Reporting Using TEFCA bonus measure in addition to earning points for 
fulfilling the requirements of the required measure(s).
    We invite public comment on our proposal to adopt an optional bonus 
measure under the Public Health and Clinical Data Exchange Objective to 
permit an eligible hospital or CAH to earn a total of 5 bonus points if 
it is participating as a signatory to a TEFCA Framework Agreement, is 
not

[[Page 18361]]

suspended, and submits health information using TEFCA to a PHA 
consistent with one or more of the measures under the Public Health and 
Clinical Data Exchange objective, is in active engagement Option 2 
(validated data production) with a PHA to transfer health information 
for one or more of the measures under the Public Health and Clinical 
Data Exchange objective, and uses the functions of CEHRT to exchange 
with the PHA.
6. Overview of Scoring Methodology for the EHR Reporting Period in CY 
2026
    In the FY 2019 IPPS/LTCH PPS final rule (83 FR 41636 through 
41641), we adopted a performance-based scoring methodology for eligible 
hospitals and CAHs reporting to the Medicare Promoting Interoperability 
Program beginning with the EHR reporting period in CY 2019. This 
methodology included a minimum scoring threshold that eligible 
hospitals and CAHs were required to meet at 42 CFR 495.24(e)(1)(i)(B), 
in addition to the requirement to report on the objectives and measures 
of meaningful use under 42 CFR 495.24(e)(1)(i)(A), to be considered a 
meaningful EHR user under 42 CFR 495.4. In the FY 2025 IPPS/LTCH PPS 
final rule (89 FR 69616 through 69618), we finalized a proposal to 
increase the performance-based scoring threshold to at least 70 points 
for the EHR reporting period in CY 2025 and to at least 80 points 
beginning with the EHR reporting period in CY 2026 and continuing in 
the EHR reporting periods in subsequent years.
    As shown in Table X.F.-02., the points associated with the required 
measures sum to 100 points, and reporting on one or more of the 
optional bonus measures offers an additional 5 total bonus points. The 
scores for each of the required measures and bonus measures are added 
together to calculate a total score of up to 105 possible points for 
each eligible hospital or CAH. We refer readers to Table X.F.-02. in 
this proposed rule, which reflects the objectives, measures, maximum 
points available, and whether a measure is required or optional for the 
EHR reporting period in CY 2026 and subsequent years based on our 
previously adopted policies and the proposals included in this proposed 
rule.

 Table X.F.-02--Performance-Based Scoring Methodology for EHR Reporting Periods in CY 2026 and Subsequent Years
----------------------------------------------------------------------------------------------------------------
              Objective                        Measure               Maximum points         Required/optional
----------------------------------------------------------------------------------------------------------------
Electronic Prescribing (e-             e-Prescribing..........  10 points..............  Required.
 Prescribing).                         Query of Prescription    10 points..............  Required.
                                        Drug Monitoring
                                        Program (PDMP).
Health Information Exchange..........  Support Electronic       15 points..............  Required (eligible
                                        Referral Loops by                                 hospitals and CAHs
                                        Sending Health                                    must choose one of the
                                        Information.                                      three reporting
                                       --AND--................                            options).
                                       Support Electronic       15 points..............
                                        Referral Loops by
                                        Receiving and
                                        Reconciling Health
                                        Information.
                                       --OR--.................
                                       HIE Bi-Directional       30 points..............
                                        Exchange.
                                       --OR--.................
                                       Enabling Exchange under  30 points..............
                                        TEFCA.
Provider to Patient Exchange.........  Provide Patients         25 points..............  Required.
                                        Electronic Access to
                                        Their Health
                                        Information.
Public Health and Clinical Data        Report the following     25 points..............  Required.
 Exchange.                              six measures:.
                                        Syndromic
                                        Surveillance
                                        Reporting..
                                        Immunization
                                        Registry Reporting..
                                        Electronic
                                        Case Reporting..
                                        Electronic
                                        Laboratory
                                        Reporting.**.
                                        Antimicrobial
                                        Use Surveillance..
                                        Antimicrobial
                                        Resistance
                                        Surveillance..
                                       Report one of the        5 points (bonus).......  Optional.
                                        following measures:.
                                        Public Health
                                        Registry Reporting..
                                        Clinical Data
                                        Registry Reporting..
                                        Public Health
                                        Reporting Using
                                        TEFCA.*.
----------------------------------------------------------------------------------------------------------------
Notes: The Security Risk Analysis measure, SAFER Guides measure, and attestations required by section
  106(b)(2)(B) of the Medicare Access and CHIP Reauthorization Act of 2015 are required but will not be scored.
  Reporting electronic clinical quality measures (eCQMs) is required but will not be scored. Eligible hospitals
  and CAHs must also submit their level of active engagement for measures under the Public Health and Clinical
  Data Exchange objective. Participants may spend only one EHR reporting period at the Option 1: Pre-production
  and Validation level per measure and must progress to Option 2: Validated Data Production level for the
  following EHR reporting period. See the FY 2023 IPPS/LTCH PPS final rule (87 FR 49337) for more details about
  active engagement. The ePrior Authorization measure is required beginning with the EHR reporting period in CY
  2027.
* Signifies a proposal made in this FY 2026 IPPS/LTCH PPS proposed rule. For details on our proposal to add the
  Public Health Reporting Under TEFCA measure, we refer readers to section X.F.5. of the preamble of this
  proposed rule.
** In prior rulemaking, we inadvertently referenced the measure name incorrectly. To ensure accuracy, we are
  correcting the measure's name to Electronic Laboratory Reporting measure. This is a non-substantive change and
  does not impact the measure's specifications or reporting requirements.

    The maximum number of points available by measure in this proposed 
rule do not include the points that would be redistributed in the event 
an exclusion is claimed for a given measure. We are not proposing any 
changes to our policy for point redistribution in the event an 
exclusion is claimed. We refer readers to Table X.F.-03. in the 
preamble of this proposed rule, which shows point redistribution among 
the objectives and

[[Page 18362]]

measures for the EHR reporting period in CY 2026 and subsequent years, 
in the event an eligible hospital or CAH claims an exclusion.

 Table X.F.-03--Exclusion Redistribution for the EHR Reporting Period in
                      CY 2026 and Subsequent Years
------------------------------------------------------------------------
                                                       Redistribution if
            Objective                   Measure          exclusion is
                                                            claimed
------------------------------------------------------------------------
e-Prescribing...................  e-Prescribing.....  10 points to
                                                       Health
                                                       Information
                                                       Exchange
                                                       Objective.
                                  Query of PDMP.....  10 points to e-
                                                       Prescribing
                                                       measure.
Health Information Exchange.....  Support Electronic  No exclusion.
                                   Referral Loops by
                                   Sending Health
                                   Information.
                                  --AND--...........
                                  Support Electronic  No exclusion.
                                   Referral Loops by
                                   Receiving and
                                   Reconciling
                                   Health
                                   Information.
                                  --OR--............
                                  HIE Bi-Directional  No exclusion.
                                   Exchange.
                                  --OR--............
                                  Enabling Exchange   No exclusion.
                                   under TEFCA.
Provider to Patient Exchange....  Provide Patients    No exclusion.
                                   Electronic Access
                                   to Their Health
                                   Information.
Public Health and Clinical Data   Report the          If an exclusion is
 Exchange.                         following six       claimed for each
                                   measures:.          of the six
                                   Syndromic   measures, 25
                                   Surveillance        points are
                                   Reporting..         redistributed to
                                               the Provide
                                   Immunization        Patients
                                   Registry            Electronic Access
                                   Reporting..         to their Health
                                               Information
                                   Electronic Case     measure.
                                   Reporting..
                                  
                                   Electronic
                                   Laboratory
                                   Reporting.*.
                                  
                                   Antimicrobial Use
                                   Surveillance..
                                  
                                   Antimicrobial
                                   Resistance
                                   Surveillance..
------------------------------------------------------------------------
Notes: The ePrior Authorization measure is required beginning with the
  EHR reporting period in CY 2027.
* In prior rulemaking, we inadvertently referenced the measure name
  incorrectly. To ensure accuracy, we are correcting the measure's name
  to Electronic Laboratory Reporting measure. This is a non-substantive
  change and does not impact the measure's specifications or reporting
  requirements.

7. Overview of Objectives and Measures for the Medicare Promoting 
Interoperability Program for the EHR Reporting Period in CY 2026
    For ease of reference, Table X.F.-04. lists objectives and measures 
for the Medicare Promoting Interoperability Program for the EHR 
reporting period in CY 2026, as revised to reflect the proposals in 
this proposed rule, and Table X.F.-05. lists the ONC Health IT 
Certification Program certification criteria required to meet the 
Medicare Promoting Interoperability Program objectives and measures.

[[Page 18363]]



      Table X.F.-04--Summary of Objectives and Measures for the Medicare Promoting Interoperability Program for the EHR Reporting Period in CY 2026
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                                                                                         Calculation
                                                                                                                                       considerations
                                                                                                                                     related to counting
          Objective                         Measure                     Numerator            Denominator            Exclusion        unique patients or
                                                                                                                                     actions for CY 2026
                                                                                                                                    and subsequent years
--------------------------------------------------------------------------------------------------------------------------------------------------------
Electronic Prescribing (e-     e-Prescribing: For at least one    The number of         The number of new or  Any eligible          Measure may be
 Prescribing).                  hospital discharge, medication     prescriptions in      changed               hospital or CAH       calculated by
                                orders for permissible             the denominator       prescriptions         that does not have    reviewing only
                                prescriptions (for new and         generated and         written for drugs     an internal           actions for
                                changed prescriptions) are         transmitted           requiring a           pharmacy that can     patients whose
                                transmitted electronically using   electronically.       prescription in       accept electronic     records are
                                CEHRT.*                                                  order to be           prescriptions, and    maintained using
                                                                                         dispensed, other      there are no          CEHRT for which
                                                                                         than controlled       pharmacies that       sufficient data
                                                                                         substances for        accept electronic     were entered in the
                                                                                         patients discharged   prescriptions         CEHRT to allow the
                                                                                         during the EHR        within 10 miles at    record to be saved
                                                                                         reporting period.     the start of their    and not rejected
                                                                                                               EHR reporting         due to incomplete
                                                                                                               period.               data.
e-Prescribing................  Query of Prescription Drug         N/A (measure is Y/N)  N/A (measure is Y/N)  (1) Any eligible      N/A (measure is Y/
                                Monitoring Program (PDMP): For                                                 hospital or CAH       N).
                                at least one Schedule II opioid                                                that does not have
                                or Schedule III or IV drug                                                     an internal
                                electronically prescribed using                                                pharmacy that can
                                CEHRT during the EHR reporting                                                 accept electronic
                                period, the eligible hospital or                                               prescriptions for
                                CAH uses data from CEHRT to                                                    controlled
                                conduct a query of a PDMP for                                                  substances that
                                prescription drug history.                                                     include Schedule
                                                                                                               II, III and IV
                                                                                                               drugs and is not
                                                                                                               located within 10
                                                                                                               miles of any
                                                                                                               pharmacy that
                                                                                                               accepts electronic
                                                                                                               prescriptions for
                                                                                                               controlled
                                                                                                               substances at the
                                                                                                               start of their EHR
                                                                                                               reporting period.
                                                                                                              (2) Any eligible
                                                                                                               hospital or CAH
                                                                                                               that could not
                                                                                                               report on this
                                                                                                               measure in
                                                                                                               accordance with
                                                                                                               applicable law..
Health Information Exchange..  Support Electronic Referral Loops  Number of             Number of             None................  Measure may be
                                by Sending Health Information:     transitions of care   transitions of care                         calculated by
                                For at least one transition of     and referrals in      and referrals                               reviewing only
                                care or referral, the eligible     the denominator       during the EHR                              actions for
                                hospital or CAH that transitions   where a summary of    reporting period                            patients whose
                                or refers its patient to another   care record was       for which the                               records are
                                setting of care or provider of     created using CEHRT   eligible hospital                           maintained using
                                care: (1) Creates a summary of     and exchanged         or CAH inpatient or                         CEHRT for which
                                care record using CEHRT; and (2)   electronically.       emergency                                   sufficient data
                                Electronically exchanges the                             department (Place                           were entered in the
                                summary of care record.                                  of Service [POS] 21                         CEHRT to allow the
                                                                                         or 23) was the                              record to be saved
                                                                                         transitioning or                            and not rejected
                                                                                         referring provider.                         due to incomplete
                                                                                                                                     data.
Health Information Exchange..  Support Electronic Referral Loops  Number of electronic  Number of electronic  None................  Measure may be
                                by Receiving and Reconciling       summary of care       summary of care                             calculated by
                                Health Information: For at least   records in the        records received                            reviewing only
                                one electronic summary of care     denominator for       using CEHRT for                             actions for
                                record received using CEHRT for    which clinical        patient encounters                          patients whose
                                patient encounters during the      information           during the EHR                              records are
                                EHR reporting period for which     reconciliation is     reporting period                            maintained using
                                an eligible hospital or CAH was    completed using       for which an                                CEHRT for which
                                the receiving party of a           CEHRT for the         eligible hospital                           sufficient data
                                transition of care or referral,    following three       or CAH was the                              were entered in the
                                or for patient encounters during   clinical              reconciling party                           CEHRT to allow the
                                the EHR reporting period in        information sets:     of a transition of                          record to be saved
                                which the eligible hospital or     (1) Medication--      care or referral,                           and not rejected
                                CAH has never before encountered   Review of the         and for patient                             due to incomplete
                                the patient, the eligible          patient's             encounters during                           data.
                                hospital or CAH conducts           medication,           the EHR reporting
                                clinical information               including the name,   period in which the
                                reconciliation for medication,     dosage, frequency,    eligible hospital
                                medication allergy, and current    and route of each     or CAH has never
                                problem list using CEHRT.          medication; (2)       before encountered
                                                                   Medication Allergy--  the patient.
                                                                   Review of the
                                                                   patient's known
                                                                   medication
                                                                   allergies; and (3)
                                                                   Current Problem
                                                                   List--Review of the
                                                                   patient's current
                                                                   and active
                                                                   diagnoses.

[[Page 18364]]

 
Health Information Exchange..  HIE Bi-Directional Exchange: The   N/A (measure is Y/N)  N/A (measure is Y/N)  None................  N/A (measure is Y/
                                eligible hospital or CAH must                                                                        N).
                                attest to the following:
                               (1) Participating in a Health
                                Information Exchange system
                                (HIE) in order to enable secure,
                                bi-directional exchange of
                                information to occur for all
                                unique patients discharged from
                                the eligible hospital or CAH
                                inpatient or emergency
                                department (POS 21 or 23), and
                                all unique patient records
                                stored or maintained in the EHR
                                for these departments, during
                                the EHR reporting period in
                                accordance with applicable law
                                and policy.
                               (2) Participating in an HIE that
                                is capable of exchanging
                                information across a broad
                                network of unaffiliated exchange
                                partners including those using
                                disparate EHRs, and not engaging
                                in exclusionary behavior when
                                determining exchange partners.
                               (3) Using the functions of CEHRT
                                to support bi-directional
                                exchange with an HIE.
Health Information Exchange..  Enabling Exchange using the        N/A (measure is Y/N)  N/A (measure is Y/N)  None................  N/A (measure is Y/
                                Trusted Exchange Framework and                                                                       N).
                                Common Agreement (TEFCA): The
                                eligible hospital or CAH must
                                attest to the following:
                               (1) Participating as a signatory
                                to a Framework Agreement (as
                                that term is defined by the
                                Common Agreement for Nationwide
                                Health Information
                                Interoperability as published in
                                the Federal Register and on
                                ASTP's website) in good standing
                                (that is, not suspended) and
                                enabling secure, bi-directional
                                exchange of information to
                                occur, in production, for all
                                unique patients discharged from
                                the eligible hospital or CAH
                                inpatient or emergency
                                department (POS 21 or 23), and
                                all unique patient records
                                stored or maintained in the EHR
                                for these departments, during
                                the EHR reporting period in
                                accordance with applicable law
                                and policy.
                               (2) Using the functions of CEHRT
                                to support bi-directional
                                exchange of patient information,
                                in production, under this
                                Framework Agreement.

[[Page 18365]]

 
Provider to Patient Exchange.  Provide Patients Electronic        The number of         The number of unique  None................  Measure must be
                                Access to Their Health             patients in the       patients discharged                         calculated by
                                Information: For at least one      denominator (or       from an eligible                            reviewing all
                                unique patient discharged from     patient authorized    hospital or CAH                             patient records,
                                the eligible hospital or CAH       representatives)      inpatient or                                not just those
                                inpatient or emergency             who are provided      emergency                                   maintained using
                                department (POS 21 or 23):         timely access to      department (POS 21                          CEHRT.
                               (1) the patient (or patient-        health information    or 23) during the
                                authorized representative) is      to view online,       EHR reporting
                                provided timely access to view     download and          period.
                                online, download, and transmit     transmit to a third
                                their health information; and      party and to access
                               (2) the eligible hospital or CAH    using an
                                ensures the patient's health       application of
                                information is available for the   their choice that
                                patient (or patient-authorized     is configured to
                                representative) to access using    meet the technical
                                any application of their choice    specifications of
                                that is configured to meet the     the API in the
                                technical specifications of the    eligible hospital's
                                application programming            or CAH's CEHRT.
                                interface API in the eligible
                                hospital's or CAH's CEHRT.
Public Health and Clinical     Immunization Registry Reporting:   N/A (measure is Y/N)  N/A (measure is Y/N)  Any eligible          N/A (measure is Y/
 Data Exchange.                 The eligible hospital or CAH is                                                hospital or CAH       N).
                                in active engagement with a                                                    meeting one or more
                                public health agency (PHA) to                                                  of the following
                                submit immunization data and                                                   criteria may be
                                receive immunization forecasts                                                 excluded from the
                                and histories from the public                                                  immunization
                                health immunization registry or                                                registry reporting
                                immunization information system                                                measure if the
                                (IIS).                                                                         eligible hospital
                                                                                                               or CAH:
                                                                                                              (1) Does not
                                                                                                               administer any
                                                                                                               immunizations to
                                                                                                               any of the
                                                                                                               populations for
                                                                                                               which data are
                                                                                                               collected by its
                                                                                                               jurisdiction's
                                                                                                               immunization
                                                                                                               registry or IIS
                                                                                                               during the EHR
                                                                                                               reporting period;.
                                                                                                              (2) Operates in a
                                                                                                               jurisdiction for
                                                                                                               which no
                                                                                                               immunization
                                                                                                               registry or IIS is
                                                                                                               capable of
                                                                                                               accepting the
                                                                                                               specific standards
                                                                                                               required to meet
                                                                                                               the CEHRT
                                                                                                               definition at the
                                                                                                               start of the EHR
                                                                                                               reporting period;
                                                                                                               or.
                                                                                                              (3) Operates in a
                                                                                                               jurisdiction where
                                                                                                               no immunization
                                                                                                               registry or IIS has
                                                                                                               declared readiness
                                                                                                               to receive
                                                                                                               immunization data
                                                                                                               as of 6 months
                                                                                                               prior to the start
                                                                                                               of the EHR
                                                                                                               reporting period..

[[Page 18366]]

 
Public Health and Clinical     Syndromic Surveillance Reporting:  N/A (measure is Y/N)  N/A (measure is Y/N)  Any eligible          N/A (measure is Y/
 Data Exchange.                 The eligible hospital or CAH is                                                hospital or CAH       N).
                                in active engagement with a PHA                                                meeting one or more
                                to submit syndromic surveillance                                               of the following
                                data from an emergency                                                         criteria may be
                                department (POS 23).                                                           excluded from the
                                                                                                               syndromic
                                                                                                               surveillance
                                                                                                               reporting measure
                                                                                                               if the eligible
                                                                                                               hospital or CAH:
                                                                                                              (1) Does not have an
                                                                                                               emergency
                                                                                                               department;.
                                                                                                              (2) Operates in a
                                                                                                               jurisdiction for
                                                                                                               which no PHA is
                                                                                                               capable of
                                                                                                               receiving
                                                                                                               electronic
                                                                                                               syndromic
                                                                                                               surveillance data
                                                                                                               from eligible
                                                                                                               hospitals or CAHs
                                                                                                               in the specific
                                                                                                               standards required
                                                                                                               to meet the CEHRT
                                                                                                               definition at the
                                                                                                               start of the EHR
                                                                                                               reporting period;
                                                                                                               or.
                                                                                                              (3) Operates in a
                                                                                                               jurisdiction where
                                                                                                               no PHA has declared
                                                                                                               readiness to
                                                                                                               receive syndromic
                                                                                                               surveillance data
                                                                                                               from eligible
                                                                                                               hospitals or CAHs
                                                                                                               as of 6 months
                                                                                                               prior to the start
                                                                                                               of the EHR
                                                                                                               reporting period..
Public Health and Clinical     Electronic Case Reporting: The     N/A (measure is Y/N)  N/A (measure is Y/N)  Any eligible          N/A (measure is Y/
 Data Exchange.                 eligible hospital or CAH is in                                                 hospital or CAH       N).
                                active engagement with a PHA to                                                meeting one or more
                                submit case reporting of                                                       of the following
                                reportable conditions.                                                         criteria may be
                                                                                                               excluded from the
                                                                                                               Electronic Case
                                                                                                               Reporting measure
                                                                                                               if the eligible
                                                                                                               hospital or CAH:
                                                                                                              (1) Does not treat
                                                                                                               or diagnose any
                                                                                                               reportable diseases
                                                                                                               for which data are
                                                                                                               collected by its
                                                                                                               jurisdiction's
                                                                                                               reportable disease
                                                                                                               system during the
                                                                                                               EHR reporting
                                                                                                               period;.
                                                                                                              (2) Operates in a
                                                                                                               jurisdiction for
                                                                                                               which no PHA is
                                                                                                               capable of
                                                                                                               receiving
                                                                                                               electronic case
                                                                                                               reporting data in
                                                                                                               the specific
                                                                                                               standards required
                                                                                                               to meet the CEHRT
                                                                                                               definition at the
                                                                                                               start of the EHR
                                                                                                               reporting period;
                                                                                                               or.
                                                                                                              (3) Operates in a
                                                                                                               jurisdiction where
                                                                                                               no PHA has declared
                                                                                                               readiness to
                                                                                                               receive electronic
                                                                                                               case reporting data
                                                                                                               as of 6 months
                                                                                                               prior to the start
                                                                                                               of the EHR
                                                                                                               reporting period..

[[Page 18367]]

 
Public Health and Clinical     Electronic Laboratory Reporting:   N/A (measure is Y/N)  N/A (measure is Y/N)  Any eligible          N/A (measure is Y/
 Data Exchange.                 ** The eligible hospital or CAH                                                hospital or CAH       N).
                                is in active engagement with a                                                 meeting one or more
                                PHA to submit Electronic                                                       of the following
                                Laboratory Reporting results.                                                  criteria may be
                                                                                                               excluded from the
                                                                                                               Electronic
                                                                                                               Laboratory
                                                                                                               Reporting measure
                                                                                                               if the eligible
                                                                                                               hospital or CAH:
                                                                                                              (1) Does not perform
                                                                                                               or order laboratory
                                                                                                               tests that are
                                                                                                               reportable in its
                                                                                                               jurisdiction during
                                                                                                               the EHR reporting
                                                                                                               period;.
                                                                                                              (2) Operates in a
                                                                                                               jurisdiction for
                                                                                                               which no PHA is
                                                                                                               capable of
                                                                                                               accepting the
                                                                                                               specific Electronic
                                                                                                               Laboratory
                                                                                                               Reporting standards
                                                                                                               required to meet
                                                                                                               the CEHRT
                                                                                                               definition at the
                                                                                                               start of the EHR
                                                                                                               reporting period;
                                                                                                               or.
                                                                                                              (3) Operates in a
                                                                                                               jurisdiction where
                                                                                                               no PHA has declared
                                                                                                               readiness to
                                                                                                               receive Electronic
                                                                                                               Laboratory
                                                                                                               Reporting results
                                                                                                               from an eligible
                                                                                                               hospital or CAH as
                                                                                                               of 6 months prior
                                                                                                               to the start of the
                                                                                                               EHR reporting
                                                                                                               period..
Public Health and Clinical     Antimicrobial Use Surveillance:    N/A (measure is Y/N)  N/A (measure is Y/N)  Any eligible          N/A (measure is Y/
 Data Exchange.                 The eligible hospital or CAH is                                                hospital or CAH may   N).
                                in active engagement with CDC's                                                be excluded from
                                National Health Safety Network                                                 the measure if the
                                (NHSN) to submit Antimicrobial                                                 eligible hospital
                                Use data for the EHR reporting                                                 or CAH:
                                period and receives a report                                                  (1) Does not have
                                from NHSN indicating its                                                       any patients in any
                                successful submission of                                                       patient care
                                Antimicrobial Use data for the                                                 location for which
                                EHR reporting period.                                                          data are collected
                                                                                                               by NHSN during the
                                                                                                               EHR reporting
                                                                                                               period;.
                                                                                                              (2) Does not have
                                                                                                               electronic
                                                                                                               medication
                                                                                                               administration
                                                                                                               record (eMAR)/
                                                                                                               barcode medication
                                                                                                               administration
                                                                                                               (BCMA) electronic
                                                                                                               records or an
                                                                                                               admission,
                                                                                                               discharge, transfer
                                                                                                               (ADT) system during
                                                                                                               the EHR reporting
                                                                                                               period; or.
                                                                                                              (3) Does not have a
                                                                                                               data source
                                                                                                               containing the
                                                                                                               minimal discrete
                                                                                                               data elements that
                                                                                                               are required for
                                                                                                               reporting..
Public Health and Clinical     Antimicrobial Resistance           N/A (measure is Y/N)  N/A (measure is Y/N)  Any eligible          N/A (measure is Y/
 Data Exchange.                 Surveillance: The eligible                                                     hospital or CAH may   N).
                                hospital or CAH is in active                                                   be excluded from
                                engagement with CDC's NHSN to                                                  the measure if the
                                submit Antimicrobial Resistance                                                eligible hospital
                                data for the EHR reporting                                                     or CAH:
                                period and receives a report                                                  (1) Does not have
                                from NHSN indicating its                                                       any patients in any
                                successful submission of                                                       patient care
                                Antimicrobial Resistance data                                                  location for which
                                for the EHR reporting period.                                                  data are collected
                                                                                                               by NHSN during the
                                                                                                               EHR reporting
                                                                                                               period;.
                                                                                                              (2) Does not have a
                                                                                                               laboratory
                                                                                                               information system
                                                                                                               (LIS) or ADT system
                                                                                                               during the EHR
                                                                                                               reporting period;
                                                                                                               or.
                                                                                                              (3) Does not have a
                                                                                                               data source
                                                                                                               containing the
                                                                                                               minimal discrete
                                                                                                               data elements that
                                                                                                               are required for
                                                                                                               reporting..
Public Health and Clinical     Public Health Registry Reporting:  N/A (measure is Y/N)  N/A (measure is Y/N)  None................  N/A (measure is Y/
 Data Exchange.                 The eligible hospital or CAH is                                                                      N).
                                in active engagement with a PHA
                                to submit data to public health
                                registries.

[[Page 18368]]

 
Public Health and Clinical     Clinical Data Registry Reporting:  N/A (measure is Y/N)  N/A (measure is Y/N)  None................  N/A (measure is Y/
 Data Exchange.                 The eligible hospital or CAH is                                                                      N).
                                in active engagement to submit
                                data to a clinical data
                                registry.
Public Health and Clinical     Public Health Reporting Using      N/A (measure is Y/N)  N/A (measure is Y/N)  None *..............  N/A (measure is Y/N)
 Data Exchange.                 TEFCA: * The eligible hospital     *.                    *.                                          *.
                                or CAH (1) participates as a
                                signatory to a Framework
                                Agreement (as that term is
                                defined by the Common Agreement
                                for Nationwide Health
                                Information Interoperability as
                                published in the Federal
                                Register and on ASTP's website);
                                (2) is not suspended; (3)
                                submits health information using
                                TEFCA to a PHA consistent with
                                one or more of the measures
                                under the Public Health and
                                Clinical Data Exchange
                                objective; (4) is in active
                                engagement Option 2 (validated
                                data production) with a PHA to
                                transfer health information for
                                one or more of the measures
                                under the Public Health and
                                Clinical Data Exchange
                                objective; and (5) uses the
                                functions of CEHRT to exchange
                                with the PHA.
Protect Patient Health         Security Risk Analysis: * Conduct  N/A (measure is Y/N)  N/A (measure is Y/N)  None................  N/A (measure is Y/
 Information.                   or review a security risk                                                                            N).
                                analysis and conduct security
                                risk management activities, in
                                accordance with the requirements
                                under 45 CFR
                                164.308(a)(1)(ii)(A) and (B),
                                including addressing the
                                security of data created or
                                maintained by CEHRT (to include
                                encryption), in accordance with
                                45 CFR 164.312(a)(2)(iv) and 45
                                CFR 164.306(d)(3), implement
                                security updates as necessary,
                                and correct identified security
                                deficiencies as part of the
                                eligible hospital's or CAH's
                                risk management process. Actions
                                included in the security risk
                                analysis measure may occur any
                                time during the calendar year in
                                which the EHR reporting period
                                occurs.*

[[Page 18369]]

 
Protect Patient Health         Safety Assurance Factors for EHR   N/A (measure is Y/N)  N/A (measure is Y/N)  None................  N/A (measure is Y/
 Information.                   Resilience (SAFER) Guides: *                                                                         N).
                                Conduct an annual self-
                                assessment using all eight of
                                the 2025 SAFER Guides at any
                                point during the calendar year
                                in which the EHR reporting
                                period occurs, beginning with
                                the EHR reporting period in CY
                                2026 and subsequent years.*
--------------------------------------------------------------------------------------------------------------------------------------------------------
* Signifies a proposal made in this FY 2026 IPPS/LTCH PPS proposed rule that would apply to the EHR reporting period in CY 2026 and subsequent years.
** In prior rulemaking, we inadvertently referenced the measure name incorrectly. To ensure accuracy, we are correcting the measure's name to Electronic
  Laboratory Reporting measure. This is a non-substantive change and does not impact the measure's specifications or reporting requirements.


[[Page 18370]]


  Table X.F.-05--Medicare Promoting Interoperability Program Objectives
   and Measures and ONC Health IT Certification Program Certification
            Criteria for the EHR Reporting Period in CY 2026
------------------------------------------------------------------------
                                                       ONC Health IT
                                                   Certification Program
                                                       certification
           Objective                 Measure        criteria as defined
                                                      in the following
                                                    sections of title 45
                                                            CFR
------------------------------------------------------------------------
e-Prescribing.................  e-Prescribing....  170.315(b)(3) e-
                                                    Prescribing.
                                Query of PDMP....  170.315(b)(3) e-
                                                    Prescribing.
Health Information Exchange...  Support            170.315(b)(1)
                                 electronic         Transitions of care.
                                 referral loops
                                 by sending
                                 health
                                 information.
                                Support            170.315(b)(1)
                                 electronic         Transitions of care.
                                 referral loops    170.315(b)(2)
                                 by receiving and   Clinical information
                                 reconciling        reconciliation and
                                 health             incorporation.
                                 information.
Health Information Exchange     Health             Examples of certified
 (alternative).                  Information        health IT
                                 Exchange Bi-       capabilities to
                                 Directional        support the actions
                                 Exchange.          of this measure may
                                                    include but are not
                                                    limited to
                                                    technology certified
                                                    to the following
                                                    criteria:
                                                   170.315(b)(1)
                                                    Transitions of care.
                                                   170.315(b)(2)
                                                    Clinical information
                                                    reconciliation and
                                                    incorporation.
                                                   170.315(g)(7)
                                                    Application access--
                                                    patient selection.
                                                   170.315(g)(9)
                                                    Application access--
                                                    all data request.
                                                   170.315(g)(10)
                                                    Standardized API for
                                                    patient and
                                                    population services.
Health Information Exchange     Enabling Exchange  Examples of certified
 (alternative).                  under TEFCA.       health IT
                                                    capabilities to
                                                    support the actions
                                                    of this measure may
                                                    include but are not
                                                    limited to
                                                    technology certified
                                                    to the following
                                                    criteria:
                                                   170.315(b)(1)
                                                    Transitions of care.
                                                   170.315(b)(2)
                                                    Clinical information
                                                    reconciliation and
                                                    incorporation.
                                                   170.315(g)(7)
                                                    Application access--
                                                    patient selection.
                                                   170.315(g)(9)
                                                    Application access--
                                                    all data request.
                                                   170.315(g)(10)
                                                    Standardized API for
                                                    patient and
                                                    population services.
Provider to Patient Exchange..  Provide patients   170.315(e)(1) View,
                                 electronic         download, and
                                 access to their    transmit to 3rd
                                 health             party.
                                 information.      170.315(g)(7)
                                                    Application access--
                                                    patient selection.
                                                   170.315(g)(9)
                                                    Application access--
                                                    all data request.
                                                   170.315(g)(10)
                                                    Standardized API for
                                                    patient and
                                                    population services.
Public Health and Clinical      Immunization       170.315(f)(1)
 Data Exchange.                  registry           Transmission to
                                 reporting.         immunization
                                                    registries.
                                Syndromic          170.315(f)(2)
                                 surveillance       Transmission to
                                 reporting.         public health
                                                    agencies--syndromic
                                                    surveillance.
                                Electronic case    170.315(f)(5)
                                 reporting.         Transmission to
                                                    public health
                                                    agencies--electronic
                                                    case reporting.
                                Public health      170.315(f)(7)
                                 registry           Transmission to
                                 reporting.         public health
                                                    agencies--health
                                                    care surveys.
                                Clinical data      No ONC health IT
                                 registry           certification
                                 reporting.         criteria at this
                                                    time.
                                Public health      Examples of certified
                                 reporting using    health IT
                                 TEFCA *.           capabilities to
                                                    support the actions
                                                    of this measure may
                                                    include but are not
                                                    limited to
                                                    technology certified
                                                    to the following
                                                    criteria:
                                                   170.315(f)(3)
                                                    Transmission to
                                                    public health
                                                    agencies--reportable
                                                    laboratory tests and
                                                    value/results.
                                                   170.315(f)(5)
                                                    Transmission to
                                                    public health
                                                    agencies--electronic
                                                    case reporting.
                                Electronic         170.315(f)(3)
                                 laboratory         Transmission to
                                 reporting **.      public health
                                                    agencies--reportable
                                                    laboratory tests and
                                                    value/results.
                                Antimicrobial Use  170.315(f)(6)
                                 Surveillance.      Transmission to
                                                    public health
                                                    agencies--antimicrob
                                                    ial use and
                                                    resistance
                                                    reporting.
                                Antimicrobial      170.315(f)(6)
                                 Resistance         Transmission to
                                 Surveillance.      public health
                                                    agencies--antimicrob
                                                    ial use and
                                                    resistance
                                                    reporting.
Electronic Clinical Quality     eCQMs for          170.315(c)(1).
 measures (eCQMs).               eligible          170.315(c)(2).
                                 hospitals and     170.315(c)(3)(i) and
                                 CAHs.              (ii).
Protect Patient Health          Security Risk      No ONC health IT
 Information.                    Analysis *.        certification
                                                    criteria at this
                                                    time.
                                SAFER Guides *...  No ONC health IT
                                                    certification
                                                    criteria at this
                                                    time.
------------------------------------------------------------------------
* Signifies a measure with a proposal made in this FY 2026 IPPS/LTCH PPS
  proposed rule.
** In prior rulemaking, we inadvertently referenced the measure name
  incorrectly. To ensure accuracy, we are correcting the measure's name
  to Electronic Laboratory Reporting measure. This is a non-substantive
  change and does not impact the measure's specifications or reporting
  requirements.

8. Clinical Quality Measurement for Eligible Hospitals and CAHs 
Participating in the Medicare Promoting Interoperability Program
a. Background on Clinical Quality Measurement for Eligible Hospitals 
and CAHs
    Under sections 1814(l)(3)(A) and 1886(n)(3)(A) of the Act and the 
definition of ``meaningful EHR user'' under 42 CFR 495.4, eligible 
hospitals and CAHs must report on clinical quality measures selected by 
the Secretary using CEHRT (also referred to as electronic clinical 
quality measures, or eCQMs), as part of the Medicare Promoting 
Interoperability Program.
    Table X.F-06. summarizes the previously finalized required and 
self-selected eCQMs available for eligible hospitals and CAHs to report 
under the Medicare Promoting Interoperability Program for the CY 2026 
reporting period and subsequent years.

[[Page 18371]]



 Table X.F.-06--Previously Finalized eCQMS for Eligible Hospitals and CAHs for the CY 2026 Reporting Period and
                                                Subsequent Years
----------------------------------------------------------------------------------------------------------------
                  Short name                                      Measure name                      CBE No.***
----------------------------------------------------------------------------------------------------------------
Safe Use of Opioids *.........................  Safe Use of Opioids--Concurrent Prescribing.....           3316e
PC-02 *.......................................  Cesarean Birth..................................           0471e
PC-07 *.......................................  Severe Obstetric Complications..................           3687e
STK-2.........................................  Discharged on Antithrombotic Therapy............           0435e
STK-3.........................................  Anticoagulation Therapy for Atrial Fibrillation/           0436e
                                                 Flutter.
STK-5.........................................  Antithrombotic Therapy by End of Hospital Day              0438e
                                                 Two.
VTE-1.........................................  Venous Thromboembolism Prophylaxis..............            0371
VTE-2.........................................  Intensive Care Unit Venous Thromboembolism                  0372
                                                 Prophylaxis.
HH-HYPO *.....................................  Hospital Harm--Severe Hypoglycemia..............           3503e
HH-HYPER *....................................  Hospital Harm--Severe Hyperglycemia.............           3533e
HH-OREA *.....................................  Hospital Harm--Opioid-Related Adverse Events....           3501e
HH-PI **......................................  Hospital Harm--Pressure Injury..................           3498e
HH-AKI **.....................................  Hospital Harm--Acute Kidney Injury..............           3713e
HH-FI.........................................  Hospital Harm--Falls with Injury................           4120e
HH-RF.........................................  Hospital Harm--Postoperative Respiratory Failure           4130e
MCS ****......................................  Malnutrition Care Score.........................           3592e
IP-ExRad......................................  Excessive Radiation Dose or Inadequate Image               3663e
                                                 Quality for Diagnostic CT in Adults (Hospital
                                                 Level--Inpatient).
----------------------------------------------------------------------------------------------------------------
* Signifies a required measure for the CY 2026 reporting period and subsequent years.
** Signifies a required measure added for the CY 2027 reporting period and subsequent years.
*** We note that inclusion of a CBE number neither indicates endorsement or lack of endorsement. More
  information about current endorsement status can be found on the Partnership for Quality Measurement website:
  https://p4qm.org/measures.
**** The eCQM previously named Global Malnutrition Composite Score has been updated to Malnutrition Care Score.
  The short name has subsequently been updated to MCS eCQM.

    We are not proposing any changes to the eCQMs for eligible 
hospitals and CAHs participating in the Medicare Promoting 
Interoperability Program in this proposed rule.
9. Request for Information (RFI) Regarding the Query of Prescription 
Drug Monitoring Program (PDMP) Measure
a. Background on PDMPs and the Query of PDMP Measure
    PDMPs are electronic databases that monitor the use of controlled 
substances, including prescription drug usage and prescription drug 
history. PDMPs are critical decision support tools for addressing 
prescription drug use, misuse, and diversion. Recent legislation has 
continued to advance the use of PDMPs, including the Substance Use-
Disorder Prevention that Promotes Opioid Recovery and Treatment for 
Patients and Communities Act (SUPPORT for Patients and Communities Act) 
(Pub. L. 115-271), enacted in 2018, that authorizes important 
investments in combating the opioid epidemic. Among other provisions, 
the SUPPORT for Patients and Communities Act included new requirements 
and Federal funding for the enhancement, integration, and 
interoperability of PDMPs to help reduce opioid misuse and 
overprescribing and to help promote the overall effective prevention 
and treatment of opioid use disorders.
    Today, all 50 States, the District of Columbia, Guam, Puerto Rico, 
and the Northern Mariana Islands host PDMPs.\409\ PDMPs play an 
important role in patient safety by enabling clinicians to check PDMP 
data for prescription opioids and other controlled medications received 
by a patient from other clinicians to determine whether a patient is 
put at high risk for overdose. A literature review of recent studies on 
PDMP effectiveness compiled by the PDMP Training and Technical 
Assistance Center (TTAC) at the Institute for Intergovernmental 
Research and published in the PDMP Administrators' Orientation Guide of 
PDMPs highlights the role of PDMPs in reducing the following: high-risk 
opioid prescribing and dispensing behaviors; overall supply of opioid 
prescriptions; multiple provider episodes (for example, doctor or 
pharmacy shopping); opioid-related overdose rates; and admissions to 
treatment facilities for prescription drug misuse.\410\
---------------------------------------------------------------------------

    \409\ PDMP TTAC, PDMP Policies and Capabilities: 2023 Assessment 
Results, January 2024, available at: https://www.pdmpassist.org/Content/Documents/pdf/resources/PDMP%20Policies%20and%20Capabilities%202023%20Assessment%20Results_final_20240108.pdf.
    \410\ PDMP TTAC, PDMP Administrators Orientation Package, 
November 2024, available at: https://www.pdmpassist.org/Content/Documents/pdf/PDMP_admin/PDMP_Administrators_Orientation_Package_revision_20241105.pdf.
---------------------------------------------------------------------------

    Increased integration of PDMPs into EHRs and EHR systems continues 
to reduce barriers to and burden of PDMP review by incorporating PDMP 
queries into the provider workflow. A PDMP TTAC assessment of PDMP 
Policies and Capabilities \411\ published in December 2024 found that 
49 of the 54 PDMPs have taken steps to integrate with EHR or health 
information exchange systems (HIEs), pharmacy dispensing systems 
(PDSs), or both. We refer readers to Table X.F.-07. for more detailed 
information.
---------------------------------------------------------------------------

    \411\ PDMP TTAC, PDMP Policies and Capabilities: 2024 Assessment 
Results, December 2024, available at: https://www.pdmpassist.org/Content/Documents/pdf/resources/PDMP%20Policies%20and%20Capabilities%202023%20Assessment%20Results_final_20240108.pdf.
    \412\ PDMP TTAC, PDMP Policies and Capabilities: 2024 Assessment 
Results, December 2024, available at: https://www.pdmpassist.org/Content/Documents/pdf/resources/PDMP%20Policies%20and%20Capabilities%202023%20Assessment%20Results_final_20240108.pdf.

            Table X.F.-07--PDMP Integration as of 2024 \412\
------------------------------------------------------------------------
                 Type of integration                    Number of PDMPs
------------------------------------------------------------------------
EHR, HIE, and PDS....................................                 18
EHR and PDS..........................................                 24
EHR and HIE..........................................                  1
EHR only.............................................                  5
HIE only.............................................                  1
------------------------------------------------------------------------

    We continue to work with Federal partners and industry stakeholders 
to advance common standards for the exchange of information between 
PDMPs, EHRs, pharmacy dispensing systems, and exchange networks. ASTP 
convened the PDMP and health IT system communities to standardize data

[[Page 18372]]

format and transport protocols to exchange controlled substances 
prescription data between PDMP and health IT systems, which produced a 
PDMP-EHR Integration Toolkit.\413\ Moreover, ASTP continues to 
collaborate with industry partners furthering the development of a 
Health Level 7[supreg] (HL7) Fast Healthcare Interoperability 
Resources[supreg] (FHIR) IG that allows EHRs and other health IT 
systems to support more seamless exchange of prescription data with 
PDMP systems.\414\
---------------------------------------------------------------------------

    \413\ PDMP-EHR Integration Toolkit, available at: https://www.healthit.gov/topic/health-it-health-care-settings/prescription-drug-monitoring-programs.
    \414\ HL7 FHIR PDMP IG; available at: https://build.fhir.org/ig/HL7/fhir-pdmp/.
---------------------------------------------------------------------------

    On August 5, 2024, the Health Data, Technology, and 
Interoperability: Patient Engagement, Information Sharing, and Public 
Health Interoperability (HTI-2) proposed rule appeared in the Federal 
Register (89 FR 63498). The HTI-2 proposed rule includes a proposal for 
a PDMP certification criterion in 45 CFR 170.315(f)(9), titled 
``Prescription Drug Monitoring Program (PDMP) Databases--Query, 
receive, validate, parse, and filter,'' that would enable the bi-
directional interaction and electronic health information exchange 
between certified Health IT Modules and PDMP databases using a 
consistent approach to querying PDMP data (89 FR 63547). Specifically, 
the proposed certification criterion would enable the query of 
prescription drug monitoring systems and the receipt, validation, 
parsing, and filtering of medication information from PDMPs. The 
proposed criterion would be a functional criterion agnostic to a 
specific PDMP standard, but would include transport, content, and 
vocabulary standards where appropriate. ASTP has not finalized the 
proposal to date.
    In the FY 2019 IPPS/LTCH PPS final rule, CMS adopted the Query of 
PDMP measure under the e-Prescribing objective of the Medicare 
Promoting Interoperability Program to support HHS initiatives aimed at 
improving the treatment of opioid and substance use disorders by 
helping eligible hospitals and CAHs avoid inappropriate prescriptions 
(83 FR 41648 through 41653). The Query of PDMP measure provides that 
for at least one Schedule II opioid or Schedule III or IV drug 
electronically prescribed using CEHRT during the EHR reporting period, 
the eligible hospital or CAH uses data from CEHRT to conduct a query of 
their PDMP for prescription drug history (89 FR 69607).
    We are interested in continuing to make improvements to the 
Medicare Promoting Interoperability Program that promote patient safety 
and encourage appropriate prescribing of controlled substances while 
minimizing provider burden. We further believe improved technology 
approaches and increased PDMP integration into EHR systems can enable 
increased utilization of PDMPs and associated positive outcomes for 
patients. We are also considering recent studies of how outcome-
oriented quality measures that are not currently included in the 
Medicare Promoting Interoperability Program, such as the Concurrent Use 
of Opioids and Benzodiazepines measure, could potentially be included 
in the Medicare Promoting Interoperability Program associated with the 
Query of PDMP measure or as an eCQM to provide additional data and 
support quality improvement in our efforts to address the inappropriate 
prescribing of controlled substances.\415\
---------------------------------------------------------------------------

    \415\ For example, see Gabriel, Meghan; Montavon, Joel; Digmann, 
Rachel; Ferris, Lindsey M.; Spiro, Shelly. A Novel Approach to PDMP 
Reporting: Adapting Opioid Quality Measures to PDMP Data. Journal 
for Healthcare Quality 45(2): p 107-116, March/April 2023. For 
measure specifications and additional information for the Concurrent 
Use of Opioids and Benzodiazepines measure, we refer readers to the 
eCQI Resource Center website at: https://ecqi.healthit.gov/ecqm/eh/2024/cms0506v6?qt-tabs_measure=measure-information.
---------------------------------------------------------------------------

    Therefore, we are seeking public comment through this RFI to 
potentially inform future rulemaking for the Query of PDMP measure 
related to the following policy considerations: (1) changing the Query 
of PDMP measure from an attestation-based measure (``yes'' or ``no'') 
to a performance-based measure (numerator and denominator), as well as 
alternative measures designed to more effectively assess the degree to 
which participants are utilizing PDMPs, and (2) expanding the types of 
drugs to which the Query of PDMP measure could apply.
b. RFI on Changing the Query of PDMP Measure From an Attestation-Based 
Measure to a Performance-Based Measure
    The Query of PDMP measure was initially finalized in the FY 2019 
IPPS/LTCH PPS final rule (83 FR 41649 through 41653) as a performance-
based measure with a numerator and denominator described as follows:
     Denominator: Number of Schedule II opioids \416\ 
electronically prescribed using CEHRT by the eligible hospital or CAH 
during the EHR reporting period.
---------------------------------------------------------------------------

    \416\ In the FY 2019 IPPS/LTCH PPS final rule, the Query of PDMP 
only included Schedule II opioids (83 FR 41649 through 41653). We 
finalized the expansion of the Query of PDMP measure to include 
Schedule II opioids and Schedules III and IV drugs beginning with 
the EHR reporting period in CY 2023 in the FY 2023 IPPS/LTCH PPS 
final rule (87 FR 49323 through 49325).
---------------------------------------------------------------------------

     Numerator: The number of Schedule II opioid prescriptions 
in the denominator for which data from CEHRT is used to conduct a query 
of a PDMP for prescription drug history except where prohibited and in 
accordance with applicable law.
    In the FY 2020 IPPS/LTCH PPS final rule (84 FR 42593 through 
42595), we modified the Query of PDMP measure to become an attestation-
based measure beginning with the EHR reporting period in CY 2019, and 
an optional measure for the EHR reporting period in CY 2020, noting 
that it was premature to require the Query of PDMP measure and to score 
it based on performance. We received feedback that incorporating the 
ability to count the number of PDMP queries in the EHR would require 
implementation of manual processes due to the wide variation in 
approaches by eligible hospitals and CAHs querying PDMPs, and that the 
costs of additional development if further standardization was 
introduced later would likely be passed on to eligible hospitals and 
CAHs. We refer to the FY 2020 IPPS/LTCH PPS final rule (84 FR 42593 
through 42596), FY 2021 IPPS/LTCH PPS final rule (85 FR 58967 through 
58969), and FY 2022 IPPS/LTCH PPS final rule (86 FR 45462 through 
45464) for discussions of stakeholder concerns with implementing the 
Query of PDMP measure as a performance-based measure.
    In the FY 2023 IPPS/LTCH PPS final rule (87 FR 49322 through 
49323), beginning with the EHR reporting period in CY 2023, we 
finalized the Query of PDMP measure to require a ``yes'' or a ``no'' 
attestation from eligible hospitals and CAHs participating in the 
Medicare Promoting Interoperability Program. A ``yes'' response would 
indicate that for at least one Schedule II opioid or Schedule III or IV 
drug electronically prescribed using CEHRT during the EHR reporting 
period, the eligible hospital or CAH uses data from CEHRT to conduct a 
query of a PDMP for prescription drug history.
    In the FY 2023 IPPS/LTCH PPS final rule (87 FR 49327), we stated 
that we believed our efforts to promote interoperability for accessing 
data through PDMPs, including standardized functionality, would enable 
the potential future modification of the Query of PDMP measure to be 
performance-based. Given recent progress in a variety of areas, there 
is now a clearer trajectory moving forward

[[Page 18373]]

to enhance the Medicare Promoting Interoperability Program's capacity 
to incentivize use of PDMPs, and thereby, to improve the quality of 
health care and promote care coordination. Notably, PDMPs are now 
widely available across all 50 states and several localities, and PDMP 
integration with HIEs, EHRs, and PDSs has increased since the Query of 
PDMP measure was finalized as an attestation measure. Therefore, to 
further promote the utilization of PDMPs and to support appropriate 
prescribing for controlled substances, we are inviting public comment 
and feedback on the potential modification of the Query of PMDP measure 
from an attestation measure to a performance-based measure to inform 
potential future rulemaking and include the following questions:
     Should CMS propose to adopt a performance-based 
(numerator/denominator) reporting requirement for the Query of PDMP 
measure? If so, how should the numerator and denominator be defined?
    For example, one approach we are considering to potentially inform 
future rulemaking is the following description of a numerator and a 
denominator, which is updated from the numerator and denominator 
established in the FY 2019 IPPS/LTCH PPS final rule (83 FR 41649 
through 41653), when the Query of PDMP measure was initially finalized 
as a performance-based measure and only included Schedule II opioids:
    ++ Denominator: Number of Schedule II opioid or Schedule III or IV 
drugs electronically prescribed using CEHRT by the eligible hospital or 
CAH during the EHR reporting period.
    ++ Numerator: The number of prescriptions of Schedule II opioid or 
Schedule III or IV drugs in the denominator for which data from CEHRT 
is used at the time of prescribing to conduct a query of a PDMP for 
prescription drug history except where prohibited and in accordance 
with applicable law.
     What are potential barriers for eligible hospitals and 
CAHs meeting the Query of PDMP measure as a performance-based measure?
     How should CMS account for varying levels of readiness and 
capacity for performance-based reporting, particularly for small and 
rural providers, including eligible hospitals and CAHs?
     Are there specific exclusions that we should consider for 
performance-based reporting?
     What timeframe would allow for systems and process changes 
to account for a change of the Query of PDMP measure from an 
attestation measure to a performance-based measure while minimizing 
burden?
     Would adoption and use of Health IT Modules certified to 
the ``Prescription Drug Monitoring Program (PDMP) Databases--Query, 
receive, validate, parse, and filter'' certification criterion proposed 
by ONC in the HTI-2 proposed rule (89 FR 63547), if this criterion were 
to be finalized, help to mitigate previously identified burden 
associated with implementing and reporting on a performance-based 
``Query of PDMP'' measure?
     How would the adoption and use of Health IT Modules 
certified to the proposed ``Prescription Drug Monitoring Program (PDMP) 
Databases--Query, receive, validate, parse, and filter'' certification 
criterion, if it were finalized, impact the numerator and denominator 
of a potential performance-based PDMP measure?
    We are also requesting feedback on a broader set of performance-
based measurement concepts that could help to advance our priorities 
with respect to the use of PDMPs to support the prevention and 
treatment of opioid use disorders. We are specifically interested in 
creating performance-based measures that allow eligible hospitals and 
CAHs to leverage technology to improve care and reduce burden.
     What are other measure concepts we should consider that 
would allow us to focus on outcomes related to overdose prevention?
     Should we explore measures related to monitoring data from 
PDMPs that could assess multiple opioid prescriptions, opioid 
prescriptions from multiple prescribers, combined opioid and 
benzodiazepine prescriptions, or very high standardized dosage of 
opioids prescribed?
     What measure concepts related to the use of PDMPs are 
likely to involve the lowest effort and provide the highest value to 
the health care community?
c. RFI on the Modification of the Query of PDMP Measure To Include All 
Schedule II Drugs
    Under the Controlled Substances Act (CSA),\417\ the Drug 
Enforcement Administration classifies drugs, substances, and certain 
chemicals used to make drugs into five distinct categories or schedules 
depending upon the drug's acceptable medical use and the drug's abuse 
or dependency potential. A drug's abuse rate is a factor used to 
determine its classification; for example, Schedule I medications have 
the highest abuse potential while medications in Schedule V have a low 
abuse potential.\418\ We refer readers to Table X.F.-08. for 
information on each Schedule, including abuse potential, medicinal use, 
if any, and drug examples. For additional information, we refer readers 
to the listing of drugs and their schedule located at CSA Scheduling at 
https://www.deadiversion.usdoj.gov/schedules/orangebook/c_cs_alpha.pdf.
---------------------------------------------------------------------------

    \417\ Public Law 91-513, tit. II, 84 Stat. 1236, 1242-84 (1970); 
codified, as amended, at 21 U.S.C. 801 et seq.
    \418\ United States Drug Enforcement Administration, website; 
available at: https://www.dea.gov/drug-information/drug-scheduling.
    \419\ GAO-21-22, Prescription Drug Monitoring Programs: Views on 
Usefulness and Challenges of Programs; 21 U.S.C. 812; and the U.S. 
Drug Enforcement Administration, website, available at: https://www.dea.gov/drug-information/drug-scheduling.

                 Table X.F.-08--Controlled Substance Schedules, Descriptions, and Examples \419\
----------------------------------------------------------------------------------------------------------------
               Schedule                                Description                           Examples
----------------------------------------------------------------------------------------------------------------
Schedule I............................  No accepted medical use, are unsafe, and  Heroin and LSD.
                                         hold a high potential for abuse.
Schedule II...........................  Accepted medical use, high potential for  Hydrocodone, methadone,
                                         abuse, abuse could lead to severe         meperidine, oxycodone,
                                         psychological or physical dependence.     morphine, codeine, and
                                                                                   amphetamine.
Schedule III..........................  Accepted medical use, less potential for  Ketamine and anabolic
                                         abuse than schedule I or II substances,   steroids.
                                         abuse may lead to moderate or low
                                         physical dependence or high
                                         psychological dependence.
Schedule IV...........................  Accepted medical use, low potential for   Alprazolam, clonazepam,
                                         abuse relative to schedule III            diazepam, and tramadol.
                                         substances, abuse may lead to limited
                                         physical or psychological dependence
                                         relative to schedule III substances.

[[Page 18374]]

 
Schedule V............................  Accepted medical use, low potential for   Pregabalin, cough preparations
                                         abuse relative to schedule IV             containing less than 200 mg
                                         substances, abuse may lead to limited     per 100 mL or 100 g of
                                         physical or psychological dependence      codeine.
                                         relative to schedule IV substances.
----------------------------------------------------------------------------------------------------------------

    PDMPs are operated at the state level, and individual state 
requirements for reporting and use differ from state to state.\420\ 
Currently, almost every state collects data on Schedules II, III, and 
IV drugs that are prescribed.\421\
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    \420\ PDMP TTAC website, available at: https://www.pdmpassist.org/State.
    \421\ PDMP TTAC website, available at: https://www.pdmpassist.org/Policies/Maps/PDMPPolicies.
---------------------------------------------------------------------------

    In the FY 2023 IPPS/LTCH PPS final rule, we finalized the expansion 
of the Query of PDMP measure to not only include Schedule II opioids, 
but also include Schedule III and IV drugs, beginning with the EHR 
reporting period in CY 2023 (87 FR 49323 through 49325). We also 
finalized the measure description: for at least one Schedule II opioid 
or Schedule III or IV drug electronically prescribed using CEHRT during 
the EHR reporting period, the eligible hospital or CAH uses data from 
CEHRT to conduct a query of a PDMP for prescription drug history. We 
noted that expanding the Query of PDMP measure to include Schedule III 
and IV drugs in addition to Schedule II opioids would offer eligible 
hospitals and CAHs a broader clinical picture aimed at overall patient 
safety efforts and would support better alignment with state 
regulations. We also clarified in response to public comment that the 
Query of PDMP measure does not include or apply to Schedule II drugs 
that are not opioids (for example, central nervous system stimulants) 
(87 FR 49325). For additional information on the Query of PDMP measure 
policies, we refer readers to the FY 2023 IPPS/LTCH PPS final rule (87 
FR 49320 through 49327).
    To further promote the Medicare Promoting Interoperability 
Program's capacity to incentivize the electronic exchange of health 
information through the use of PDMPs, and thereby improve the quality 
of care by supporting appropriate prescribing of controlled substances, 
we are considering proposing in future rulemaking to expand the Query 
of PDMP measure to include all Schedule II drugs, rather than only 
including Schedule II opioids. Notably, this would expand the Query of 
PDMP measure to include controlled substances that are categorized as 
Schedule II drugs that are not opioids, such as central nervous system 
stimulants that can be prescribed for Attention-Deficit Hyperactivity 
Disorder (ADHD). We refer readers to Table X.F.-09. for examples of 
Schedule II opioid drugs and other Schedule II drugs.
---------------------------------------------------------------------------

    \422\ For additional information on drug scheduling, we refer 
readers to the U.S. Drug Enforcement Administration website, 
available at: https://www.dea.gov/drug-information/drug-scheduling.

 Table X.F.-09--Examples of Schedule II Opioid Drugs and Other Schedule
                             II Drugs \422\
------------------------------------------------------------------------
      Schedule II opioid drugs             Other Schedule II drugs
------------------------------------------------------------------------
 Codeine                      Amphetamine
 Fentanyl                     Lisdexamfetamine
 Hydrocodone                  Methamphetamine
 Meperidine                   Methylphenidate
 Methadone                    Pentobarbital
 Morphine
 Oxycodone
------------------------------------------------------------------------

    For this RFI, we are inviting public comment and feedback on 
possible future expansion of the Query of PDMP measure to include all 
Schedule II (Schedule II opioids and other Schedule II drugs), Schedule 
III, and Schedule IV drugs in future rulemaking. We are also seeking 
responses to the following specific questions:
     What challenges exist, if any, around expanding the Query 
of PDMP measure to include all Schedule II drugs?
     What are the potential benefits versus risks of expanding 
the Query of PDMP measure to include all Schedule II drugs?
     Would expanding the Query of PDMP measure to Schedule II 
non-opioid drugs create barriers for patients appropriately prescribed 
Schedule II non-opioid drugs (for example, central nervous stimulants 
appropriately prescribed for ADHD)?
     How should CMS account for varying levels of readiness and 
capacity for eligible hospitals and CAHs to meet an expanded scope of 
the measure, particularly for small and rural providers, including 
eligible hospitals and CAHs?
     What exclusions should be considered, if any?
10. RFI Regarding Performance-Based Measures
    As finalized in the FY 2023 IPPS/LTCH final rule (87 FR 49339), the 
measures under the Public Health and Clinical Data Exchange objective 
require eligible hospitals and CAHs to indicate their level of active 
engagement with a PHA (Option 1 or Option 2) but do not measure the 
degree to which eligible hospitals and CAHs are exchanging the data 
specified under each measure. Historically, the Public Health and 
Clinical Data Exchange objective has included measures that required 
reporting via attestation to account for factors such as the ongoing 
development of connections between eligible hospitals and CAHs and 
PHAs, as well as variation across state and local requirements which 
govern reporting requirements for eligible hospitals and CAHs (77 FR 
54022). However, given the ongoing advancements in public health 
reporting infrastructure across the nation, we are exploring whether 
alternatives to the current attestation-based measures can drive 
further improvements in the quality and consistency of reporting to 
PHAs and associated public health outcomes. This approach would align 
with the Act's requirement to seek to improve the use of EHRs and 
health care quality over time (section 1886(n)(3)(A) of the Act).
    In the FY 2025 IPPS/LTCH PPS proposed rule (89 FR 36380), we 
included an RFI regarding the Public Health and Clinical Data Exchange 
objective, including questions that sought feedback on replacing 
current attestation-based measures with measures that would require 
reporting of a numerator and denominator to better assess performance 
on measures included under the Public Health and Clinical Data Exchange 
objective. Because we only require that an eligible hospital or CAH 
indicate their level of active engagement (Option 1 or Option 2), 
attestation-based reporting does not capture aspects of the health 
information shared with PHAs that we are seeking to improve, such as 
comprehensiveness, quality, or timeliness.
    We appreciate the responses received on our RFI in the FY 2025 
IPPS/LTCH PPS proposed rule, and we are seeking

[[Page 18375]]

additional feedback from commenters through another RFI in this 
proposed rule. For this RFI, we are seeking to further refine our 
discussion of possible future measures to address commenter concerns 
and seek information to ensure any future proposals align with our 
goals of ultimately improving public health outcomes. Specifically, we 
are interested in new measure concepts for public health that would 
allow us to better focus on aspects of the data quality of public 
health reporting. We are seeking public comment on the following 
questions:
     What aspects of data quality and usability are most 
appropriate and valuable to measure in the context of the Public Health 
and Clinical Data Exchange objective of the Medicare Promoting 
Interoperability Program (for example, timeliness and completeness of 
reporting)?
     How could data completeness be defined? For instance, how 
should we define ``complete data''? Should we consider a threshold 
approach, under which eligible hospitals and CAHs would attest that 
they are successfully sending complete data for a minimum set of data 
elements to a PHA?
    ++ For example, for the Electronic Case Reporting measure, should 
we define a minimum threshold for completeness of certain data elements 
that are critical to public health and are supported in CEHRT (for 
example, data elements included in a specific version of the USCDI such 
as medications or medication dose)? If so, how should we define or set 
such thresholds?
    ++ For the Electronic Laboratory Reporting measure, should we 
require eligible hospitals and CAHs to report how many laboratory tests 
were ordered using Logical Observation Identifiers Names and Codes 
(LOINC) and how many results used Systematized Nomenclature of Medicine 
(SNOMED) codes?
     Are there other metrics available that we should consider 
in the Medicare Promoting Interoperability Program that more directly 
relate to actions and outcomes that public health reporting is intended 
to enable (for example, overdose prevention)?
     Of the current types of public health data exchange 
reflected in the Public Health and Clinical Data Exchange objective 
measures, what use cases should we prioritize for a focus on data 
quality that would provide the highest value to the health care 
community while resulting in the least burden?
    As part of our exploration of alternative measure concepts to 
assess performance on different aspects of the Public Health and 
Clinical Data Exchange objective measures, we are considering revising 
our approach to scoring the measures under the objective.
    We are seeking public comment on the following questions:
     Currently, eligible hospitals and CAHs can earn 25 points 
for reporting on all six required measures. Under a revised scoring 
approach, should we specify that eligible hospitals and CAHs could earn 
up to 5 points for each measure, for a total of 30 points for the 
objective, but must earn at least 1 point for each measure to earn a 
score for the Medicare Promoting Interoperability program, in addition 
to meeting the overall threshold for the program?
     Should we score all public health measures for which we 
finalize a numerator and denominator based on performance? Or should we 
only score a subset of measures based on performance?
    In recent years, ONC has finalized updates to ONC Health IT 
Certification Program certification criteria that are included in CEHRT 
to provide technical capabilities based on FHIR, an advanced, modern 
interoperability standard developed by HL7 to facilitate efficient, 
scalable and standardized health information exchange.\423\ For 
instance, technology certified to the ``Standardized API for patient 
and population services'' criterion at 45 CFR 170.315(g)(10) provides 
for a FHIR API in Health IT Modules for data in a version or versions 
of the USCDI. In the HTI-1 final rule, ONC finalized that Health IT 
Modules certified to the ``Electronic case reporting'' criterion at 45 
CFR 170.315(f)(5) may meet the requirements of the criterion by 
certifying to the HL7 FHIR Implementation Guide: Electronic Case 
Reporting--US Realm 2.1.0--STU 2 US to support electronic case 
reporting (89 FR 1231). In the HTI-2 proposed rule, ONC also proposed 
several updates to public health certification criteria that include 
reference to FHIR implementation specifications (89 FR 63537). In 2024, 
ASTP released the Draft FHIR Federal Action Plan with a goal of 
building an ecosystem for innovation that strengthens consistent use of 
the FHIR standard.\424\ ASTP, CMS, and CDC plan to continue to explore 
opportunities to leverage FHIR-based capabilities within certified 
health IT to support public health reporting, and we are seeking 
comment on how such future updates could impact the potential measure 
strategies discussed in this section. Specifically, we are seeking 
public comment on the following questions:
---------------------------------------------------------------------------

    \423\ Additional resources about FHIR can be found here: https://www.healthit.gov/topic/standards-technology/standards/fhir.
    \424\ https://www.healthit.gov/isp/about-fhir-action-plan.
---------------------------------------------------------------------------

     What are the most promising uses of FHIR approaches to the 
public health reporting requirements under the Medicare Promoting 
Interoperability Program? What approaches have the most potential to 
reduce the burden of reporting on eligible hospitals and CAHs and 
increase the quality and timeliness of data submitted to PHAs?
     Approaches to public health reporting using FHIR have 
focused on greater automation of the interactions between health care 
providers and PHAs in order to reduce burden on providers, including 
eligible hospitals and CAHs, and increase PHAs' ability to obtain the 
information they need. How might FHIR approaches to the exchange of 
public health data impact measurement of eligible hospital and CAH 
performance?
     Use of FHIR APIs could ultimately result in consolidation 
of disparate functions in EHRs that are currently being used to support 
different types of public health data exchange, for instance, through 
availability of an API that makes data available for a range of public 
health use cases. If these approaches are implemented in certified 
health IT in the future, should we consider streamlining or reduce the 
number of measures required in the Medicare Promoting Interoperability 
Program?
11. RFI Regarding Data Quality
    Gaps and discrepancies in data accuracy, completeness, reliability, 
and consistency undermine the integrity of health information exchange. 
We believe eligible hospitals and CAHs should be able to seamlessly 
exchange high-quality health information with patients, providers, and 
payers across systems. For the purposes of this discussion, we define 
data quality as the degree to which health information is accurate, 
complete, timely, consistent, and reliable. These factors increase the 
overall quality of health information that touches several aspects of 
the health care continuum: clinical information, patient safety, 
claims, provider data, eligibility, benefits, and administrative 
data.\425\ Poor data quality poses direct threats to patient safety, 
especially when providers, including eligible hospitals and CAHs, treat 
patients based on inaccurate or

[[Page 18376]]

incomplete information.\426\ Accountability, transparency, and 
improvement efforts also suffer when health care actors evaluate--or 
are evaluated based on--care quality and outcomes that don't reflect 
true performance due to unreliable or low quality data.\427\ Poor 
quality data also poses risks beyond health care delivery and 
administration. Because health care data captured by EHRs serve as the 
foundation for public health reporting and clinical research using real 
world evidence, widespread deficits in data quality can adversely 
affect clinical innovation and public health decision-making.\428\
---------------------------------------------------------------------------

    \425\ https://www.nejm.org/doi/full/10.1056/nejmp1708704.
    \426\ https://hbr.org/2022/09/how-to-use-digital-health-data-to-improve-outcomes.
    \427\ https://pubmed.ncbi.nlm.nih.gov/39221336.
    \428\ https://pubmed.ncbi.nlm.nih.gov/32258941.
---------------------------------------------------------------------------

    We encourage eligible hospitals and CAHs to work with their health 
IT vendors to ensure the richest, highest quality data are sent to 
their exchange partners. This partnership can help ensure data 
validation; reduce burden between eligible hospitals and CAHs and their 
exchange partners; and reduce unintended consequences and risks that 
come with low-quality data. For example, timely, complete data are 
needed for monitoring adverse events such as antimicrobial resistance. 
When providers, including eligible hospitals and CAHs, send accurate 
data the first time, this reduces the need for prolonged testing and 
email exchanges between providers, PHAs, payers, and patients.
    As the prevalence of electronic health information continues to 
grow, and as providers and payers continue to move to a value-based 
care model, the need for high-quality data will become increasingly 
important.\429\ We want to both encourage and support eligible 
hospitals' and CAHs' use of modern technologies and standards to ensure 
data are usable, complete, accurate, timely, and consistent. We are 
seeking public comment on the following questions:
---------------------------------------------------------------------------

    \429\ https://www.healthit.gov/data/quickstats/national-trends-hospital-and-physician-adoption-electronic-health-records.
---------------------------------------------------------------------------

     What data quality challenges does your health care 
organization experience (for example, discrepancies in data accuracy, 
completeness, reliability, and consistency)? How are you working to 
address data quality challenges? What data quality challenges persist 
longitudinally across your patient population(s)?
     What are the primary barriers to collecting high-quality 
data? What resources do you believe could help your organization 
address these challenges?
     What solutions have eligible hospitals and CAHs found most 
effective to address data quality?
     What steps should CMS consider to drive further 
improvement in the quality and usability of health information being 
exchanged? How can CMS partner with eligible hospitals, CAHs, industry, 
and Federal agencies to drive further improvements in the quality and 
usability of health information being exchanged? What methods should 
CMS and other partners explore to further rectify data quality issues 
in the health care community?

XI. Other Provisions Included in This Proposed Rule

A. Proposed Changes to the Transforming Episode Accountability Model 
(TEAM)

1. Background
a. Purpose
    TEAM is a 5-year mandatory alternative payment model tested by the 
CMS Innovation Center that will begin on January 1, 2026, and end on 
December 31, 2030. TEAM will test whether an episode-based pricing 
methodology linked with quality measure performance for select acute 
care hospitals reduces Medicare program expenditures while preserving 
or improving the quality of care for Medicare beneficiaries who 
initiate certain episode categories. Specifically, TEAM will test five 
surgical episode categories: Coronary Artery Bypass Graft Surgery 
(CABG), Lower Extremity Joint Replacement (LEJR), Major Bowel 
Procedure, Surgical Hip/Femur Fracture Treatment (SHFFT), and Spinal 
Fusion.
    As discussed in greater detail in section XI.A.1.b. of the preamble 
of this proposed rule, TEAM was established through notice and comment 
rulemaking. While the model performance period has not yet begun, we 
noted in the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986) that a few 
policies that were proposed were not finalized due to public comment 
concerns and other policies were not finalized because they needed 
further consideration, such as how to construct target prices when 
there are coding changes, which is addressed in section XI.A.2.c.(2) of 
the preamble of this proposed rule. Further, we indicated that for 
certain policies, such as the policy to address TEAM participants that 
have a low volume of episodes, we would go through rulemaking in the 
future to promulgate new policies that could be finalized before the 
model start date. Therefore, this proposed rule proposes updates to 
TEAM that would include the following modifications:
     A limited deferment period for certain hospitals.
     Linking Track 2 participation eligibility for hospitals 
with a Medicare Dependent Hospital (MDH) designation to the expiration 
of the MDH program.
     Adding the Information Transfer Patient Reported Outcome-
based Performance Measure (Information Transfer PRO-PM).
     Applying a neutral quality measure score for TEAM 
participants with insufficient quality data.
     A methodology to construct target prices when there are 
coding changes.
     Reconstructing the normalization factor and prospective 
trend factor.
     Replacing the Area Deprivation Index (ADI) with the 
Community Deprivation Index (CDI).
     Using a 180-day lookback period and Hierarchical Condition 
Categories (HCC) version 28 for beneficiary risk adjustment.
     Aligning the date range used for episode attribution.
     Removing health equity plans.
     Expanding the Skilled Nursing Facility (SNF) 3-Day Rule 
Waiver.
     Removing the Decarbonization and Resilience Initiative.
    We are also soliciting comment, but not proposing updates, in the 
following policy areas:
     Indian Health Service (IHS) hospital outpatient episodes.
     Low volume hospitals;.
     Standardized prices and reconciliation amounts; and.
     Primary care services referral requirement.
    The policies in this proposed rule reflect our commitment to 
ensuring TEAM's incentives help to drive beneficiary quality of care 
improvements and reductions in Medicare spending.
b. Statutory Authority and Background
    Under the authority of section 1115A of the Act, through notice-
and-comment rulemaking, the CMS Innovation Center established TEAM in 
the FY 2025 IPPS/LTCH PPS final rule that appeared in the August 28, 
2024, Federal Register (89 FR 69626 through 69879). The intent of TEAM 
is to improve beneficiary care through financial accountability for 
episodes categories that begin with one of the following procedures: 
CABG, LEJR, major bowel procedure, SHFFT, and spinal fusion. TEAM will 
test whether financial accountability for these episode categories 
reduces Medicare expenditures while preserving or enhancing the quality 
of care for Medicare beneficiaries.

[[Page 18377]]

    Under Traditional Medicare, Medicare makes separate payments to 
providers and suppliers for the items and services furnished to a 
beneficiary over the course of an episode of care. Because providers 
and suppliers are paid for each individual item or service delivered, 
providers may not be incentivized to invest in quality improvement and 
care coordination activities. As a result, care may be fragmented, 
unnecessary, or duplicative. By holding hospitals accountable for all 
items and services provided during an episode, providers would be 
better incentivized to coordinate patient care, avoid duplicative or 
unnecessary services, and improve the beneficiary care experience 
during care transitions.
    Under TEAM, all acute care hospitals, with limited exceptions, 
located within the Core Based Statistical Areas (CBSAs) that CMS 
selected for model implementation will be required to participate in 
TEAM. CMS allowed a one-time opportunity for hospitals that participate 
until the last day of the last performance period in the Bundled 
Payments for Care Improvement Advanced (BPCI Advanced) Model or the 
last day of the last performance year of the Comprehensive Care for 
Joint Replacement (CJR) Model, that are not located in a mandatory CBSA 
selected for TEAM participation, to voluntarily opt into TEAM. TEAM 
will have a 1-year glide path opportunity that will allow TEAM 
participants to ease into full financial risk as well as three 
different participation tracks to accommodate different levels of 
financial risk and reward. Track 1 is an upside only risk track 
available for all TEAM participants in the first performance year and 
available to safety net hospitals for the first three performance 
years. Track 2 is a two-sided risk track that has lower financial risk 
and reward, relative to Track 3, and will be available to select TEAM 
participants in performance years 2 through 5.\430\ Track 3 is a two-
sided risk track that has higher financial risk and reward, relative to 
Track 2, and will be available to all TEAM participants in performance 
years 1 through 5.
---------------------------------------------------------------------------

    \430\ TEAM participants eligible for Track 2 include safety net 
hospitals, rural hospitals, Medicare dependent hospitals, Sole 
Community Hospitals, and Essential Access Community Hospitals, all 
defined at Sec.  512.505.
---------------------------------------------------------------------------

    Episodes will include non-excluded Medicare Parts A and B items and 
services and will begin with an anchor hospitalization or anchor 
procedure and would end 30 days after hospital discharge. TEAM 
participants will continue to bill Medicare FFS as usual for items and 
services delivered to beneficiaries in an episode but will receive 
preliminary target prices for episodes prior to each performance year. 
Target prices will be based on three years of baseline data, 
prospectively trended forward to the relevant performance year, and 
calculated at the level of Medicare Severity Diagnosis Related Group/
Healthcare Common Procedure Coding System (MS-DRG/HCPCS) episode type 
and region. Target prices will also include a discount factor and risk-
adjustment. Participants will receive reconciliation (final) target 
prices that will incorporate a capped retrospective trend factor 
adjustment and a capped normalization factor.
    Performance in the model will be assessed by comparing TEAM 
participants' actual Medicare FFS spending during a performance year to 
their reconciliation target price as well as by assessing performance 
on selected quality measures. TEAM participants may earn a payment from 
CMS, subject to a quality performance adjustment, if their spending is 
below the reconciliation target price. TEAM participants may owe CMS a 
repayment amount, subject to a quality performance adjustment, if their 
spending was above the reconciliation target price.
2. TEAM Provisions of This Proposed Rule
a. Participation
(1) Background
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69642) we indicated 
that testing TEAM will help us understand the impact of a mandatory 
episode-based payment model in selected geographic areas for acute care 
hospitals that initiate the episode categories included in the model. 
We stated that implementing TEAM among acute care hospitals in select 
geographic areas will allow CMS and TEAM participants to gain 
experience testing and evaluating an episode-based payment approach for 
certain episodes furnished by hospitals with a variety of historic 
utilization patterns; roles within their local markets, including with 
regard to accountable care organization participation or affiliation; 
volume of services provided; access to financial, community, or other 
resources; and population and health care provider density. Further, 
Medicare beneficiaries and providers in certain areas, such as rural 
areas, can be underrepresented in voluntary models, whereas under a 
mandatory model we have the ability to include these entities, with 
safeguards as appropriate, for participation so that all beneficiaries 
have access to care redesign approaches intended to improve the quality 
care, and such providers gain experience in value-based care. Lastly, 
we noted that participation of hospitals in selected geographic areas 
will allow CMS to test episode-based payments without introducing 
participant attrition or selection bias such as the selection bias 
inherent in the BPCI Advanced model due to self-selected participation 
in the model and self-selection of episode categories.
(2) Mandatory Participation
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69642), we defined 
two ways that an acute care hospital could be designated as a TEAM 
participant. First, a hospital is a TEAM participant if it initiates 
episodes and is paid under the IPPS with a CMS Certification Number 
(CCN) primary address located in one of the mandatory CBSAs selected 
for participation in TEAM. Second, a hospital that participates in 
either the Bundled Payments for Care Improvement Advanced (BPCI 
Advanced) Model or the Comprehensive Care for Joint Replacement (CJR) 
Model until the last day of the last performance period [or last 
performance year] of the respective model may voluntarily opt into TEAM 
participation.
    These criteria for TEAM participants did not include any temporal 
restrictions, leading to potential uncertainty regarding the TEAM 
participant status of hospitals that open before or during the model 
performance period, which is defined at Sec.  512.505 as the 60-month 
period from January 1, 2026, to December 31, 2030, during which TEAM is 
being tested and the TEAM participant is held accountable for spending 
and quality. Additionally, there was also uncertainty regarding TEAM 
participant status in circumstances where a hospital that previously 
did not satisfy the definition of TEAM participant later meets the 
definition criteria in the months before or during the model 
performance period. For example, this scenario would apply to a 
hospital that was previously not paid under the IPPS but then underwent 
a status change such that the hospital is no longer classified as a 
critical access hospital (CAH), as defined in section 1861(mm)(1) of 
the Act, or a hospital that terminated their participation in the Rural 
Community Health Demonstration (RCHD).\431\ Further, we recognize that 
there may be instances where a hospital no longer satisfies the 
definition of TEAM

[[Page 18378]]

participant during the model performance period, such as a hospital 
joining the RCHD or a hospital converting to a CAH.
---------------------------------------------------------------------------

    \431\ https://www.cms.gov/priorities/innovation/innovation-models/rural-community-hospital.
---------------------------------------------------------------------------

    We also note that our existing policy at Sec.  512.550(b)(2) 
provides for separate TEAM reconciliation calculations for TEAM 
participants that experience a reorganization event, as defined at 
Sec.  512.505, including any new TEAM participant that results from a 
reorganization event. However, this policy does not address new 
hospitals that open in TEAM mandatory CBSAs independently of a 
reorganization event.
    We recognize that new hospitals that open shortly before or during 
the model performance period, as well as hospitals that begin to 
satisfy the definition of TEAM participant shortly before or during the 
model performance period, and that would otherwise be required to 
participate in TEAM based on their receipt of payment under IPPS and 
their geographic location, may experience multiple disadvantages 
relative to other TEAM participants. First, because the list of 
mandatory CBSAs was published as part of the FY 2025 IPPS/LTCH PPS 
final rule on August 1, 2024 (89 FR 69706), and a preliminary TEAM 
participant list was published to the TEAM public web page on September 
5, 2024, the TEAM participants in existence at that time have been 
afforded an opportunity to prepare for TEAM prior to the beginning of 
the model performance period on January 1, 2026. Based on previous and 
current episode-based payment models like BPCI Advanced and CJR models, 
we recognize that hospitals may engage in a number of care redesign 
activities and processes in order to achieve successful model outcomes, 
and that new hospitals that open shortly before or during the model 
performance period, as well as hospitals that begin to satisfy the 
definition of a TEAM participant shortly before or during the model 
performance period, may be at a relative disadvantage by not having 
comparable advance notice to engage in preparatory care redesign 
activities or otherwise prepare for the model. Second, to accommodate 
the varying levels of readiness among TEAM participants at the 
beginning of the model performance period, we have provided 
participation track options which allow TEAM participants to phase in 
financial risk based on performance year (PY). Eligibility for Track 1, 
which has no downside risk, is available to all TEAM participants in PY 
1 and to safety net hospitals in PYs 1 through 3. As a result, if new 
hospitals were to become TEAM participants during or after PY 1, they 
would not be afforded the same opportunity to participate in a track 
with no downside risk for at least 1 year prior to assuming greater 
levels of financial risk.
    In this proposed rule, we propose to establish a cutoff date after 
which new hospitals and hospitals that begin to meet the definition of 
a TEAM participant and that are located in a mandatory CBSAs, excepting 
any new hospitals resulting from a reorganization event, would not be 
required to participate immediately in the model and would have a 
limited deferment period before beginning their participation in TEAM. 
Therefore, we are proposing that any new hospital, as identified by 
Medicare ID (CMS Certification Number--CCN) with an initial effective 
date after December 31, 2024, within the Medicare Provider Enrollment, 
Chain, and Ownership System (PECOS), excepting any new hospital that is 
created as part of a reorganization event as defined at Sec.  512.505, 
would not be required to participate in TEAM immediately and would have 
at least one full performance year of participation deferment before 
being required to participate in the model. We also propose that any 
hospital that begins to satisfy the definition of TEAM participant 
after December 31, 2024, would not be required to participate in TEAM 
immediately and would have at least one full performance year of 
participation deferment before being required to participate in the 
model. Specifically, we propose that any new hospital located in a 
mandatory CBSA, and any hospital located in a mandatory CBSA that 
begins to meet the definition of TEAM participant after December 31, 
2024, would not be required to participate in TEAM in the performance 
year when their Medicare ID initially became effective or when they 
began to meet the definition of TEAM participant, or the performance 
year thereafter. Rather, these hospitals would be required to 
participate in TEAM starting on January 1st of the subsequent 
performance year. For example, if a hospital opened in a mandatory CBSA 
with a Medicare ID initial effective date on June 1, 2026, then that 
hospital would not be required to begin participation in TEAM until 
January 1, 2028 (PY 3). Likewise, if a hospital located in a mandatory 
CBSA terminated their participation in the RCHD effective on August 1, 
2027, then they would not be required to begin participation in TEAM 
until January 1, 2029 (PY 4). We believe this proposed policy would 
allow new hospitals and hospitals that begin to meet the definition of 
TEAM participant sufficient time to focus on establishing their care 
processes and ensuring their ability to comply with TEAM policies and 
requirements before being required to participate in TEAM. 
Specifically, the proposed cutoff date of December 31, 2024, would 
provide all new or newly qualifying hospitals with at least 1 year and 
not more than 2 years to prepare for the model, thereby establishing a 
level playing field with hospitals that have had the opportunity to 
prepare for model implementation since the publication of the 
preliminary TEAM participant list on the TEAM public web page on 
September 5, 2024.
    As mentioned previously, this proposal would not affect the 
existing policy at Sec.  512.550(b)(2) to conduct separate 
reconciliations for each hospital entity that results from a 
reorganization event as defined at Sec.  512.505.
    We are also proposing that a hospital that no longer satisfies the 
definition of TEAM participant would end TEAM participation effective 
the date they no longer satisfy the definition. We believe it is 
important to only allow hospitals that satisfy the definition of TEAM 
participant to participate in TEAM, otherwise it may introduce issues 
with pricing fairness and episode attribution. For example, since 
Medicare payments to CAHs and to hospitals participating in the RCHD 
are based on reasonable costs rather than traditional FFS, TEAM's 
pricing methodology may not afford these hospitals the same opportunity 
for savings compared to hospitals paid under FFS. Additionally, since 
TEAM's sampling and pricing methodologies were devised based on acute 
care hospitals paid under the IPPS, allowing additional hospitals that 
do not meet these criteria to participate in TEAM could result in 
changes to the TEAM sample in terms of geographic location and expected 
episode volume. We also propose that CMS would notify the hospital that 
no longer met the definition of TEAM participant within 30 days of the 
hospital no longer meeting the TEAM participant definition or as soon 
as is reasonably practicable. For example, if a TEAM participant was 
classified as a CAH on April 1, 2026, then their last day participating 
in TEAM would be March 31, 2026, and CMS would notify the hospital that 
they are no longer a TEAM participant by April 30, 2026, or as soon as 
is reasonably practicable. We recognize that this proposed policy may 
present an opportunity for hospitals to avoid mandatory participation 
in TEAM. However, we do not believe this policy would affect many 
hospitals

[[Page 18379]]

given the stringent requirements to convert to a non-IPPS hospital 
type, such as a CAH, or to participate in the RCHD. Irrespective of the 
potentially small impact, we would monitor for concerns of 
participation gaming.
    We considered proposing that new hospitals, as identified by a 
Medicare ID initial effective date after December 31, 2024, within the 
Medicare PECOS, excepting any new hospital that is created as part of a 
reorganization event as defined at Sec.  512.505, and hospitals that 
begin to satisfy the definition of TEAM participant after December 31, 
2024, would not be required to participate in TEAM. However, we believe 
it important that new hospitals are exposed to value-based care early 
on to promote adoption of standard care practices and efficient 
processes.
    We also considered proposing that new hospitals, as identified by a 
Medicare ID initial effective date after December 31, 2024, within the 
Medicare PECOS, excepting any new hospital that is created as part of a 
reorganization event as defined at Sec.  512.505, and hospitals that 
begin to satisfy the definition of TEAM participant after December 31, 
2024, would be required to participate in the first full performance 
year following their Medicare ID initial effective date or the date 
when they began to satisfy the TEAM participant definition. We 
considered allowing those hospitals to participate with no downside 
risk for that first performance year and then requiring them to 
participate in the subsequent performance year in one of the 
participation tracks, as applicable depending on their eligibility 
under the participation track requirements. However, we believe 
requiring the hospitals to participate in the first full performance 
year, even with no downside financial risk, would not provide 
sufficient opportunity for them to prepare for the participation 
requirements. That is because, while the hospitals would not have 
downside financial risk during the first year, they would still need to 
comply with other model requirements which could be challenging to meet 
in addition to all the Medicare conditions of participation.
    We recognize that a deferred participation policy or a policy that 
excludes new hospitals within mandatory CBSAs could provide an 
opportunity for patient shifting. For example, a TEAM participant or 
affiliated provider could refer patients who are anticipated to need 
costly treatments or require extensive and potentially expensive 
follow-up care to a non-participating hospital. We believe that such 
patient shifting would run counter to the goals of the model as 
discussed at 89 FR 69631. We anticipate this practice would be unlikely 
to occur given our belief that TEAM participants would make medically 
appropriate decisions for beneficiaries and that the frequency of new 
hospitals opening during the performance period would be low. However, 
we recognize that the introduction of deferred participation for new 
hospitals in TEAM mandatory CBSAs could present an opportunity for such 
patient shifting. As a result, we propose to monitor specifically for 
the potential shifting of patients with high anticipated episode 
spending from TEAM participants to non-participant hospitals. We also 
note that, based on experience with prior models, we anticipate the 
opening of new hospitals within selected mandatory CBSAs during the 
TEAM performance period to be a relatively rare occurrence. As a 
result, we anticipate that the proposed policy will not affect a large 
number of hospitals.
    We considered, but are not proposing, including as TEAM 
participants and requiring immediate participation from any new 
hospitals in TEAM mandatory CBSAs, as identified by a Medicare ID (CMS 
Certification Number) with an initial effective date after December 31, 
2024, within PECOS and hospitals that begin to satisfy the definition 
of TEAM participant after December 31, 2024. As discussed previously, 
we believe that such hospitals would be placed at a disadvantage in 
terms of their performance in TEAM if they were not afforded the same 
opportunities to prepare for the model and phase in financial risk. We 
also considered, but are not proposing, alternative cutoff dates for 
the inclusion of hospitals as TEAM participants without a deferment 
period, including June 30, 2025, December 31, 2025, and December 31, 
2026. While a cutoff date of June 30, 2025, would provide new or newly 
qualifying hospitals with at least six months to prepare for model 
implementation in 2025, including receipt and analysis of baseline 
claims and preliminary target price data from CMS, we recognize that 
these hospitals, especially those that open shortly before the cutoff 
date, could be disadvantaged relative to hospitals that have had at 
least one year to prepare for model implementation. We also recognize 
that a cutoff date at the end of 2025 could result in the same 
disadvantage from a lack of preparation time, and that a cutoff date at 
the end of 2026 could result in this same disadvantage, as well as the 
disadvantage of missing the opportunity to participate without downside 
risk in PY 1.
    Lastly, we considered but are not proposing requiring new hospitals 
in mandatory CBSAs, as identified by Medicare ID (CMS Certification 
Number) with an initial effective date after December 31, 2024, within 
PECOS and hospitals that begin to satisfy the definition of TEAM 
participant after December 31, 2024, to participate in TEAM either 1 
year or 2 years after their Medicare ID initial effective date or from 
the date they begin to satisfy the definition of TEAM participant. 
However, TEAM's performance years run on a calendar year basis, and a 
new hospital Medicare ID effective date or the date when a hospital 
begins to satisfy the definition of TEAM participant would not 
generally fall on January 1st of a calendar year, which can make 
including them as a TEAM participant after the performance year has 
started challenging. Many model requirements, like participation track 
decisions and submission of certain deliverables, occur prior to the 
beginning of each performance year and apply to the entire performance 
year, which may disadvantage hospitals if they started after the 
performance year begins.
    We seek comment on our proposal at Sec.  512.508 to require new 
hospitals that open in a mandatory CBSA as indicated by a Medicare ID 
initial effective date after December 31, 2024, and hospitals located 
in a mandatory CBSA that begin to satisfy the definition of TEAM 
participant after December 31, 2024, to participate in TEAM after one 
full performance year has passed from their Medicare ID initial 
effective date or the date when they begin to satisfy the definition of 
TEAM participant, respectively. We also seek comment on our proposal to 
monitor specifically for the potential shifting of patients with high 
anticipated episode spending from TEAM participants to non-participant 
hospitals. We also seek comment on whether or how this policy could 
affect the business decision of opening a new hospital even when there 
is patient need in the service area where the new hospital would be 
opened.
(3) Medicare Dependent Hospital Status
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986), we 
designated hospital types that are eligible for participation in Track 
2, which offers lower levels of upside and downside financial risk 
relative to Track 3, for PYs 2 through 5. As stated at 89 FR 69657, we 
believe that certain TEAM participants may benefit from a participation 
option that has limited

[[Page 18380]]

two-sided financial risk so that their beneficiaries may receive high 
quality, coordinated care without imposing significant financial 
pressure.
    The hospital types designated for Track 2 eligibility are safety 
net hospitals, rural hospitals, Medicare dependent hospitals (MDHs), 
sole community hospitals (SCHs), and essential access community 
hospitals. Section 1886(d)(5)(G)(iv) of the Act defines a MDH as a 
hospital that is located in a rural area (or, as amended by the 
Bipartisan Budget Act of 2018, a hospital located in a State with no 
rural area that meets certain statutory criteria), has not more than 
100 beds, is not an SCH, and has a high percentage of Medicare 
discharges (not less than 60 percent of its inpatient days or 
discharges in its cost reporting year beginning in FY 1987 or in 2 of 
its 3 most recently settled Medicare cost reporting years). For 
additional information on the MDH program and proposals in this 
rulemaking, we refer readers to section VI.E. of the preamble of this 
proposed rule. The Consolidated Appropriations Act, 2024 (CAA, 2024) 
(Pub. L. 118-42), enacted on March 9, 2024, extended the MDH program. 
Specifically, section 307 of the CAA, 2024, extended the MDH program 
under section 1886(d)(5)(G) of the Act through December 31, 2024. 
Subsequently, section 3202 of the American Relief Act, 2025 (ARA, 2025) 
(Pub. L. 118-158), enacted on December 21, 2024, extended the MDH 
program for FY 2025 discharges occurring before April 1, 2025. Most 
recently, section 2202 of the Full-Year Continuing Appropriations and 
Extensions Act, 2025 (Pub. L. 119-4), enacted on March 15, 2025, 
extended the MDH program, amongst other changes, for FY 2025 discharges 
occurring before October 1, 2025. Because the MDH program is not 
authorized by statute beyond September 30, 2025, beginning October 1, 
2025, all hospitals that previously qualified for MDH status under 
section 1886(d)(5)(G) of the Act will no longer have MDH status and 
will be paid based on the IPPS Federal rate.
    We recognize the end of the MDH program on September 30, 2025, 
affects Track 2 participation eligibility. However, we also acknowledge 
that, historically, Congress has extended the MDH program, and in some 
instances retroactively reinstated the program. Therefore, we are 
proposing that TEAM participants who are classified as MDHs would still 
be eligible for Track 2 participation as long as the MDH program is 
active at the time that participation track selections are due to CMS. 
As described in Sec.  512.520(b)(2), TEAM participants must notify CMS 
of its Track 2 selection prior to the performance year in a form and 
manner and by a date specified by CMS. For example, if CMS requests 
participation track selections by November 15, 2026, for PY 2 and the 
MDH program was set to expire on December 31, 2026, then TEAM 
participants with a MDH classification that submit their Track 2 
selection by November 15, 2026, would be eligible for Track 2 for PY 2, 
regardless of whether the MDH program was active in PY 2. In contrast, 
using the previous scenario except that the MDH program expired on June 
30, 2026, no TEAM participant could use their previous MDH 
classification for eligibility to participate in Track 2 for PY 2 
because the MDH program was not active as of the deadline by which CMS 
requested participation track selections. We note this proposal would 
not affect Track 2 eligibility for TEAM participants that meet the 
definition of safety net hospitals, rural hospitals, SCHs, or essential 
access community hospitals, as defined in Sec.  512.505.
    We believe that tying the eligibility for Track 2 participation for 
TEAM participants that have a MDH classification to the expiration of 
the MDH program allows TEAM participants to still take advantage of 
Track 2 participation while acknowledging that the MDH program is not 
indefinite. We anticipate that if the MDH program is not extended, then 
there would be minimal impact on Track 2 eligibility for this lower-
risk participation track due to the overlap between the MDH 
classification as defined at Sec.  412.108 and TEAM's rural hospital 
definition, as defined at Sec.  512.505. Per Sec.  412.108, a necessary 
criterion for MDH classification is location in a rural area, which 
means any area outside an urban area as defined at Sec.  412.64, or, 
for hospitals located in a State with no rural area, satisfaction of 
any of the criteria for reclassification as rural as described in Sec.  
412.103(a)(1) through (3) (65 FR 47048). For the purposes of TEAM, 
rural hospital is defined as an IPPS hospital that meets one of the 
following criteria:
     Is located in a rural area as defined under Sec.  412.64.
     Is located in a rural census tract defined under Sec.  
412.103(a)(1).
    Qualification as rural under Sec.  412.64 encompasses all hospitals 
not located in an urban area, meaning a Metropolitan Statistical Area 
or a Metropolitan Division (in the case where a Metropolitan 
Statistical Area is divided into Metropolitan Divisions), as defined by 
the Office of Management and Budget (69 FR 49242). Qualification as 
rural under Sec.  412.103(a)(1) encompasses all hospitals located in a 
rural census tract of a Metropolitan Statistical Area as determined 
under the most recent version of the Goldsmith Modification,\432\ using 
the Rural-Urban Commuting Area codes and additional criteria, as 
determined by the Federal Office of Rural Health Policy (FORHP) of the 
Health Resources and Services Administration (HRSA), which is available 
at the web link provided in the most recent Federal Register notice 
issued by HRSA defining rural areas (65 FR 47048). For the purposes of 
TEAM, a hospital's qualification as rural on the basis of location in a 
rural census tract as defined under Sec.  412.103(a)(1) is determined 
by location of the hospital's primary CCN within a rural census tract 
as defined under Sec.  412.103(a)(1), regardless of whether the 
hospital has applied for and received rural reclassification from CMS 
under Sec.  412.103.
---------------------------------------------------------------------------

    \432\ The Goldsmith Modification was originally developed and 
used to identify rural Census tracts in large metropolitan counties. 
For additional information regarding the Goldsmith Modification, we 
direct readers to: https://www.ruralhealthinfo.org/pdf/improving-the-operational-definition-of-rural-areas.pdf.
---------------------------------------------------------------------------

    Since these two pathways to rural hospital designation cover both 
hospitals located outside of an urban area and hospitals located in a 
rural census tract within an urban area, we anticipate that a large 
proportion of hospitals that would have been designated as MDHs, and 
thus would have been eligible for participation in Track 2 during the 
TEAM performance period will continue to be eligible for participation 
in Track 2 due to rural hospital status.
    We considered, but are not proposing, continuing to classify 
hospitals in TEAM based on the existing MDH criteria beyond the 
expiration of the MDH program. While this option would maintain the 
list of Track 2-eligible hospitals as originally finalized in the FY 
2025 IPPS/LTCH PPS final rule at Sec.  512.520(b)(4), we do not believe 
that it would be appropriate for TEAM to maintain hospital designations 
that are no longer maintained in Medicare more broadly. We also note 
that Sec.  412.108(b)(1) states that the Medicare Administrative 
Contractor (MAC) determines whether a hospital meets the criteria for 
MDH designation as specified in Sec.  412.108(a), and that Sec.  
412.108(b) establishes classification procedures for MDH status (55 FR 
15175). As a result, we do not believe that it would be appropriate for 
CMS to circumvent these established procedures for the purposes of 
TEAM.

[[Page 18381]]

We have also considered and are seeking comment on, but not proposing, 
the potential for CMMI to provide support to TEAM participants that 
were designated as MDHs until the termination of the MDH designation, 
with such support including providing technical assistance in helping 
them determine their eligibility for other Track 2-eligible hospital 
designations, including rural and SCH. Such support may be necessary as 
the TEAM participant may not be aware of other hospital designations 
they may be eligible for given their potential long-standing 
participation in the MDH program. Table XI.A.-01 identifies the 
potential impact on TEAM participants if the MDH program were to 
expire. While we recognize that hospitals with MDH designation may 
qualify for other hospital designations that are eligible to 
participate in Track 2 for PY 2 through 5 of TEAM, we also note that 
provision of such assistance to TEAM participants could unfairly 
disadvantage non-participant hospitals that do not receive the same 
support from CMS.

 Table XI.A.-01--Estimated Volume of Hospitals Impacted by the Medicare
                   Dependent Hospital Program in Team
------------------------------------------------------------------------
 
------------------------------------------------------------------------
Estimated number of TEAM participants...................             741
Estimated number of TEAM participants with a MDH                      25
 designation............................................
Estimated number of TEAM participants with a MDH                      21
 designation that may also be eligible for Track 2
 participation because they are a safety net hospital,
 rural hospital, Sole Community Hospital, or Essential
 Access Community Hospital, as defined at Sec.   512.505
Estimated number of TEAM participants that have the MDH                4
 designation that may not be eligible for Track 2
 participation if the MDH program expires...............
------------------------------------------------------------------------

    We seek comment on our proposal to determine MDHs' eligibility for 
Track 2 participation in TEAM based on the hospitals' status in the MDH 
program on the date CMS requires the TEAM participants to submit their 
track selections for the upcoming PY. We also seek comment on the 
potential for us to provide support to TEAM participants whose MDH 
designation ended as a result of the expiration of the MDH program in 
determining their eligibility for other hospital designations, such as 
rural and SCH, that are eligible for participation in Track 2 in PY 2 
through 5 of TEAM.
(4) Indian Health Services/Tribal Hospitals
    As indicated earlier in section XI.A.2.a.(1). of the preamble of 
this proposed rule, and defined at Sec.  512.505, for a hospital to be 
a TEAM participant they must either--(1) initiate episodes and be paid 
under the IPPS with a CMS Certification Number (CCN) primary address 
located in one of the mandatory CBSAs selected for participation in 
TEAM; or (2) be a hospital that participates in either the BPCI 
Advanced Model or the CJR Model until the last day of the last 
performance period or last performance year of the respective model 
that voluntarily opts into TEAM and CMS approves their opt in request. 
We have received questions about Indian Health Service (IHS)/Tribal 
hospitals, as identified in section 1880 of the Act, participating in 
TEAM. In the FY2025 IPPS/LTCH PPS final rule, we discussed certain 
hospitals that would be ineligible for participation in TEAM due to not 
being paid under the IPPS and Outpatient Prospective Payment System 
(OPPS) (89 FR 69643). Specifically, hospitals located in the state of 
Maryland are precluded from being TEAM participants. We did not exempt 
IHS/Tribal hospitals from TEAM participation because IHS/Tribal 
hospitals are still paid under the IPPS. However, we note that IHS/
Tribal hospitals are not paid under the OPPS, as described in Sec.  
419.20. While the TEAM participant definition does not explicitly state 
a hospital needs to be paid under the OPPS to participate in the model, 
we recognize that allowing hospitals to participate in TEAM that are 
not paid under the OPPS may create challenges when constructing target 
prices for episodes that initiate in the hospital outpatient 
department, specifically for the LEJR and spinal fusion anchor 
procedures.
    As described in section XI.A.2.c.(1) of the preamble of this 
proposed rule, TEAM participants will be provided with target prices 
for each MS-DRG/HCPCS episode type. These target prices will be 
calculated using three years of baseline data, trended forward to the 
performance year, at the level of MS-DRG/HCPCS episode type and region, 
with updates to be made using the performance year data during the 
reconciliation process. While TEAM's target prices are constructed 
using regional level spending and would allow IHS/Tribal hospitals to 
receive a target price, including LEJR and spinal fusion target prices, 
there is concern on whether these target prices would accurately 
reflect the IHS/Tribal hospital's episode spending or allow them 
opportunity to achieve a reconciliation payment amount. That is because 
their historical spending for episodes initiated in the hospital 
outpatient department, specifically the hospital spending portion, 
would not be included in the regional spending since they are not paid 
under the OPPS, but rather Medicare pays them under an All-Inclusive 
Rate (AIR). All-inclusive rates are billed by encounter, which means 
the calculation of a rate accounts for all of the allowable costs of 
providing care. This differs from traditional fee-for-service rates, 
where specific services are billed at specific rates, even if more than 
one service is provided during an encounter.\433\ Therefore, it may be 
possible that IHS/Tribal hospital outpatient spending could be lower 
(or higher) compared to other hospitals in the same region. Since the 
regional target prices are constructed from IPPS and OPPS hospital 
spending, Medicare may be at risk for setting the LEJR and spinal 
fusion regional target prices too high or too low for IHS/Tribal 
hospitals, with the latter scenario making it more challenging for them 
to reduce LEJR and spinal fusion spending.
---------------------------------------------------------------------------

    \433\ https://www.cms.gov/training-education/partner-outreach-
resources/american-indian-alaska-native/ltss-ta-center/information/
ltss-financing/comparing-reimbursement-
rates#:~:text=*%20All%2Dinclusive%20rates%20are%20billed%20by%20encou
nter%2C,one%20service%20is%20provided%20during%20an%20encounter.
---------------------------------------------------------------------------

    Given this concern, we considered but are not proposing to exclude 
IHS/Tribal hospitals from initiating anchor procedures. Specifically, 
we considered updating Sec.  512.525(b) to not allow IHS/Tribal 
hospitals that are TEAM participants to have anchor procedure episodes 
attributed to them. This would mean that IHS/Tribal hospitals would not 
be able to initiate or have episodes attributed to them for LEJR and 
spinal fusions in the hospital outpatient department but would be able 
to initiate anchor hospitalizations, including LEJR and spinal fusion 
anchor

[[Page 18382]]

hospitalizations. We believe this option would mitigate some of the 
concern with respect to regional prices being reasonable for IHS/Tribal 
hospitals. While we recognize that this could open an opportunity for 
patient shifting, given that episodes could be initiated in the 
inpatient setting but not the hospital outpatient department, we 
believe that the generally lower AIR, relative to IPPS rates, may 
disincentivize such actions. Nonetheless, given the potential incentive 
for patient shifting if IHS/Tribal hospitals were only accountable for 
episode categories in one setting, we considered additional monitoring 
for IHS/Tribal hospitals in TEAM but believe the existing monitoring 
requirements, as described in Sec.  512.590, would be sufficient given 
the broad scope of monitoring requirements and the ability to impose a 
remedial action, as described in Sec.  512.592, if warranted.
    We also considered, but are not proposing, to exclude IHS/Tribal 
hospitals from initiating episode categories that include both anchor 
hospitalizations and anchor procedures. Specifically, we considered 
adding a provision to Sec.  512.525 that would exclude TEAM 
participants that are IHS/Tribal hospitals from the LEJR and spinal 
fusion episode categories. In other words, IHS/Tribal hospitals would 
not be eligible to initiate an anchor hospitalization or anchor 
procedure in the LEJR or spinal fusion episode category. This option 
would mitigate the potential concern for patient shifting and avoid the 
challenges of ensuring an accurate target price for IHS/Tribal 
hospitals. However, we are concerned that such an option would limit 
IHS/Tribal hospitals participation in the model given the volume of 
episodes associated with the LEJR and spinal fusion episode categories, 
thus reducing the number of beneficiaries that would be captured in the 
model.
    We also considered, but are not proposing, to exclude IHS/Tribal 
hospitals from the model, such that they would not satisfy the 
definition of TEAM participant. This would be done by updating the TEAM 
participant definition to state that a TEAM participant must be paid 
under IPPS and OPPS. We recognize this consideration may not have a 
significant impact on the model with respect to episode volume. That is 
because we are aware that some IHS/Tribal hospitals may not perform the 
procedures tested in TEAM at their hospital but may be a part of a 
beneficiary's follow-up care. In those instances, the IHS/Tribal 
hospital would not initiate an episode in TEAM because the anchor 
hospitalization or anchor procedure did not initiate at the IHS/Tribal 
hospital. However, we are concerned that fully excluding IHS/Tribal 
hospitals from TEAM, particularly for those IHS/Tribal hospitals that 
initiate anchor hospitalizations or anchor procedures, would limit 
beneficiary access to the potential benefits of the model, including 
high-quality coordinated care, and prevent IHS/Tribal hospitals from 
gaining value-based care experience.
    We also considered, but are not proposing, constructing IHS/Tribal 
hospital specific target prices for anchor procedures. This would also 
help to ensure that IHS/Tribal hospitals have reasonable target prices 
for anchor procedures. However, we recognize that creating an IHS/
Tribal hospital specific target price would increase the target price 
calculation complexity, making it more challenging for IHS/Tribal 
hospitals to understand the methodology and predict their episode 
spending.
    Lastly, we also considered, but are not proposing, to include IHS/
Tribal hospitals as a hospital type eligible for Track 2 participation. 
However, we also believe many IHS/Tribal hospitals may already satisfy 
eligibility requirements for Track 2 due to being a safety net hospital 
or a rural hospital.
    We seek comment on the alternatives we considered for IHS/Tribal 
hospitals. We also seek comment on alternatives that we may not have 
considered.
b. Quality Measures
(1) Background
    As discussed in the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986), 
Medicare payment policy has moved away from FFS payments that are not 
linked to quality of care. Through the Medicare Modernization Act and 
the Affordable Care Act, we have implemented specific IPPS programs 
like the Hospital Inpatient Quality Reporting (IQR) Program (section 
1886(b)(3)(B)(viii) of the Act), the Hospital Value-Based Purchasing 
(VBP) Program (subsection (o) of section 1886), the Hospital-Acquired 
Condition (HAC) Reduction Program (subsection (q) of section 1886), and 
the Hospital Readmissions Reduction Program (subsection (p) of section 
1886), where payment reflects the quality of care delivered to Medicare 
beneficiaries.
    TEAM's quality measures focus on care coordination, patient safety, 
and patient reported outcomes (PROs) which we believe represent areas 
of quality that are particularly important to patients undergoing acute 
procedures. Wherever possible, we align TEAM quality measures with 
those used in ongoing models and programs to minimize participant 
burden, recognizing that introducing new reporting functions and 
requirements in a mandatory model would create additional burden. 
Hospitals are not required to report quality data separately to CMS for 
TEAM. CMS will use data already reported through existing CMS quality 
reporting programs, thereby avoiding duplicative reporting 
requirements. We aim to use quality measures in which all hospitals 
would have access and experience.
    We finalized in the FY 2025 IPPS/LTCH PPS final rule a set of 
quality measures tied to payment, with these measures scored to 
calculate the Composite Quality Score (CQS). The CQS would be combined 
with the TEAM participants' reconciliation amount during the 
reconciliation process to tie quality performance to payment. The 
finalized set of TEAM quality measures have been summarized in Table 
XI.A.-02.

                            Table XI.A.-02--TEAM Quality Measures by Performance Year
----------------------------------------------------------------------------------------------------------------
 
----------------------------------------------------------------------------------------------------------------
                              FY 2025 IPPS/LTCH PPS Finalized TEAM Quality Measures
----------------------------------------------------------------------------------------------------------------
Performance Year 1...................  All Episode Categories.  Hybrid Hospital-Wide All-Cause Readmission
                                                                 measure (CMIT ID #356).
Performance Year 1...................  All Episode Categories.  CMS Patient Safety and Adverse Events Composite
                                                                 (CMIT ID #135).
Performance Year 1...................  Lower Extremity Joint    Hospital-Level Total Hip and/or Knee
                                        Replacement Episodes.    Arthroplasty (THA/THK) Patient Reported Outcome
                                                                 Based Measure (CMIT ID #1618).
Performance Year 2-5.................  All Episode Categories.  Hospital Harm--Fall with Injury (CMIT ID #1518).
Performance Year 2-5.................  All Episode Categories.  Hospital Harm--Postoperative Respiratory Failure
                                                                 (CMIT ID #1788).

[[Page 18383]]

 
Performance Year 2-5.................  All Episode Categories.  Thirty-Day Risk--Standardized Death Rate among
                                                                 Surgical Inpatients with Complications
                                                                 (Inpatient Surgical Compilations Mortality
                                                                 Rate)) (CMIT ID #134).
----------------------------------------------------------------------------------------------------------------

    For performance year 1, we proposed and finalized three quality 
measures (noted later in this section) due to their: (1) alignment with 
the goals of TEAM; (2) hospitals' familiarity with the measures due to 
their use in other CMS hospital quality programs, including the 
Hospital IQR and HAC Reduction Programs; and (3) alignment to CMS 
priorities, including the CMS National Quality Strategy, which has 
goals that support safety, outcomes, and engagement. We believe these 
three TEAM PY1 quality measures that link to payment reflect these 
goals and accurately measure hospitals' level of achievement on such 
goals.
    These PY1 measures are:
     For all TEAM episodes: Hybrid Hospital-Wide All-Cause 
Readmission Measure with Claims and Electronic Health Record Data (CMIT 
ID #356);
     For all TEAM episodes: CMS Patient Safety and Adverse 
Events Composite (CMS PSI 90) (CMIT ID #135); and
     For LEJR episodes: Hospital-Level Total Hip and/or Total 
Knee Arthroplasty (THA/TKA) Patient-Reported Outcome-Based Performance 
Measure (PRO-PM) (CMIT ID #1618).
    Additionally, we proposed and finalized inclusion of three measures 
that were included in the Measures Under Consideration List (known as 
the MUC List) that were subsequently finalized (89 FR 69540 and 89 FR 
69552), starting in PY 2 (2027), and will replace the PSI 90 measure. 
These three measures are as follows:
     For all TEAM episodes: Hospital Harm--Falls with Injury 
(CMIT ID #1518) (starting in PY 2).
     For all TEAM episodes: Hospital Harm--Postoperative 
Respiratory Failure (CMIT ID #1788) (starting in PY 2).
     For all TEAM episodes: Thirty-day Risk--Standardized Death 
Rate among Surgical Inpatients with Complications (Inpatient Surgical 
Compilations Mortality Rate) (CMIT ID #134) (starting in PY 2).
    The Inpatient Surgical Complications Mortality Rate measure began 
mandatory reporting with the July 1, 2023-June 30, 2025, reporting 
period, while the other two (Hospital Harm--Falls with Injury and 
Hospital Harm--Postoperative Respiratory Failure) are available on the 
list of eCQMs from which hospitals must select to report three 
beginning with the CY2026 reporting period. This timeline will allow 
TEAM participants to have 1 year to gain experience reporting all three 
of these measures in the Hospital IQR program before their performance 
is tied to payment beginning in TEAM's second performance year (2027).
    While we believe the TEAM quality measure set would provide CMS 
with sufficient measures to monitor quality and to calculate scoring on 
quality performance, we stated that we may adjust the measure set in 
future performance years, via rulemaking, by adding new measures or 
removing measures if we determine those adjustments to be appropriate 
at the time. In this proposed rule, we are proposing several changes to 
and clarifications around the TEAM quality measure set finalized in the 
FY 2025 IPPS/LTCH PPS final rule.
(2) Alignment of Hybrid Hospital-Wide Readmission Measure to Hospital 
IQR Program
    As stated previously, TEAM aims to, whenever possible, align 
measures with existing reporting requirements so as not to introduce 
additional burden to participants. This includes aligning the TEAM 
Hybrid Hospital-Wide Readmission (HWR) Measure reporting requirements 
with what is required under the Hospital Inpatient Quality Reporting 
(IQR) Program. The Hybrid HWR measure combines claims data with 
electronic health record (EHR) data to risk-adjust hospital readmission 
rates, accounting for patient severity and illness at admission. The 
Hospital IQR Program initially planned that the Hybrid HWR measure 
would be mandatory, beginning with the July 1, 2023-June 30, 2024, 
reporting period. However, after public feedback on reporting 
difficulties, the Hospital IQR Program finalized in the CY 2025 
Hospital OPPS Final Rule (89 FR 93912) the continuation of voluntary 
reporting of the clinical data elements for the Hybrid HWR for the July 
1, 2023, through June 30, 2024, reporting period and the July 1, 2024, 
through June 30, 2025, reporting period. Mandatory reporting will begin 
the following reporting period (July 1, 2025, through June 30, 2026), 
impacting TEAM's PY 1. Additionally, CMS has recognized public input 
regarding the difficulties in reporting the clinical data elements and 
is proposing in section X.C. of the preamble of this proposed rule the 
following allowances: up to two missing laboratory results; up to two 
missing vital signs; the reduction of the CCDE (core clinical data 
elements) submission requirement to 70 percent or more of discharges, 
and; the reduction of the submission requirement of linking variables 
to 70 percent or more of discharges.
    We recognize that this change means that the first year of 
mandatory reporting (July 1, 2025, through June 30, 2026) for the 
Hybrid HWR will serve as the baseline performance period for TEAM's 
PY1. In order to allow additional time to gain experience with the 
measure, we considered not aligning with the Hospital IQR Program and 
delaying mandatory reporting for TEAM for an additional period of time. 
However, since hospitals will have multiple years of voluntary 
reporting of the Hybrid HWR measure under the Hospital IQR Program 
prior to the mandatory requirement, and because the mandatory 
requirement contains additional allowances, we believe that TEAM 
participants will have sufficient time to prepare. Additionally, we 
believe that aligning the TEAM Hybrid HWR measure as closely as 
possible to the requirements under the Hospital IQR Program will be the 
most straightforward approach for TEAM participants.
    Since TEAM aims to align with the Hospital IQR Program's 
requirement for the Hybrid HWR, we propose to align with the 
requirements set forth at 89 FR 93912, including utilizing the 
mandatory reporting period of July 1, 2025-June 30, 2026, as TEAM's PY1 
baseline period, and including the revised submission requirements.
    We seek comment on aligning with the Hospital IQR Program, 
specifically utilizing the first mandatory reporting period of July 1, 
2025, through June 30, 2026, as the TEAM PY1 quality measure 
performance period for the Hybrid HWR measure. Additionally, we also 
seek comment on alternate considerations, including whether TEAM should 
not align with the Hospital IQR Program and, as during the voluntary 
reporting period, only use claims-based elements of the Hybrid HWR for 
quality measurement.

[[Page 18384]]

(3) Information Transfer Patient Reported Outcome-Based Performance 
Measure (Information Transfer PRO-PM)
    The existing quality measures finalized in TEAM were selected based 
on their relevance to episode categories tested in the model, while 
also considering the reporting burden on participants. These measures 
focus on key domains, including hospital readmissions, patient safety, 
and patient reported outcomes, which we believe represents areas of 
quality that are particularly important to patients undergoing acute 
procedures. We believe that quality measures used in TEAM should 
address one of these domains, given their importance to patient quality 
of care and relationship to episode care management.
    As stated in FY 2025 IPPS/LTCH PPS final rule (89 FR 68986), we 
wish to incorporate more patient-reported outcome measures (PRO-PMs) 
into TEAM, as these measures provide valuable insights into the 
patient's perspective of care received. We also wish to incorporate 
quality measures that capture care in the outpatient setting, given the 
LEJR and Spinal Fusion episode categories initiate in the hospital 
outpatient department (HOPD) setting and all the measures finalized in 
the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986) are measures of 
inpatient performance.
    To identify potential quality measures for episode categories 
initiated in the HOPD, we reviewed quality measures from the CMS 
Hospital Outpatient Quality Reporting Program (Hospital OQR Program) 
that align with the domains emphasized in TEAM. To maintain a 
reasonable volume of quality measures in TEAM, we aimed to identify a 
single measure that would be clinically meaningful for both the LEJR 
and Spinal Fusion episode categories, rather than adding separate 
quality measures for each. We identified one quality measure, the Risk-
Standardized Hospital Visits Within 7 Days After Hospital Outpatient 
Surgery, that hospitals are required to report to the Hospital OQR 
Program, as well as two quality measures that hospitals may voluntarily 
report: the Risk-Standardized PRO-PM Following Elective Primary THA 
and/or TKA in the HOPD Setting, and the Information Transfer PRO-PM. We 
evaluated the suitability of each quality measure for TEAM based on its 
pros and cons.
     The Risk-Standardized Hospital Visits Within 7 Days After 
Hospital Outpatient Surgery is applicable to both the LEJR and Spinal 
Fusion episode categories, focuses on hospital readmissions, and could 
be included in TEAM for PY1 (CY 2026) given its current mandatory 
reporting status in the Hospital OQR program. However, it does not 
advance CMS's or the model's goal of increasing the number of PRO-PMs.
     The Risk-Standardized PRO-PM Following Elective Primary 
THA and/or TKA in the HOPD Setting aligns well with the existing THA/
TKA PRO-PM for inpatient LEJR episodes and would increase the number of 
PRO-PMs in the model; however, it is only applicable to LEJR episodes, 
and mandatory reporting for the Hospital OQR Program will not begin 
until PY3 of TEAM (CY 2028).
     The Information Transfer PRO-PM is applicable to both the 
LEJR and Spinal Fusion episode categories and would increase the number 
of PRO-PMs in the model; however, mandatory reporting for the Hospital 
OQR Program will not begin until PY2 of TEAM (CY 2027).
    Since our aim is to create a meaningful and efficient quality 
measure set, we do not believe it is necessary to include all three 
measures in TEAM. Given that the Risk-Standardized PRO-PM Following 
Elective Primary THA and/or TKA in the HOPD Setting measure is only 
applicable to the LEJR episode category, we do not consider it 
beneficial to propose this measure for use in TEAM. Of the remaining 
two measures, we recognize the value of the Risk-Standardized Hospital 
Visits Within 7 Days After Hospital Outpatient Surgery; however, this 
focuses on hospital readmissions and does not provide the patient 
viewpoint afforded by PRO-PMs that we are prioritizing capturing in the 
model. As such, we are proposing the addition of the Information 
Transfer PRO-PM for all episode categories initiated in the HOPD in 
TEAM. The Information Transfer PRO-PM can apply to all episode 
categories initiated in the HOPD under TEAM as it evaluates how well 
information is transferred to patients after outpatient procedures, 
particularly in HOPDs. Additionally, this measure captures patient 
viewpoint afforded by PRO-PMs.
    To ensure alignment with the Hospital OQR Program, we propose using 
the following measure specifications, as detailed and updated here: 
https://www.cms.gov/files/document/patient-understanding-key-information-related-recovery-after-facility-based-outpatient-procedure-or.pdf. This document outlines key information related to the 
Information Transfer PRO-PM and highlights the need for improved 
patient education for post-discharge instructions. The measure was 
developed by Yale New Haven Services Corporation for CMS and tested 
across hospital outpatient departments. The goal of this measure is to 
enhance recovery outcomes by standardizing information transfer. We 
also propose to include the Information Transfer PRO-PM starting in PY3 
(CY 2028) with a CY 2027 CQS baseline period and the following quality 
measure performance periods as displayed in Table XI.A.-03.

                                  Table XI.A.-03--Proposed Quality Measure Performance Periods by TEAM Performance Year
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                                   TEAM performance year
             Measure              ----------------------------------------------------------------------------------------------------------------------
                                               1st                         2nd                     3rd                  4th                  5th
--------------------------------------------------------------------------------------------------------------------------------------------------------
Information Transfer PRO-PM......  Not Applicable............  Not Applicable............  CY 2028 (January 1,  CY 2029 (January 1,  CY 2030 (January 1,
                                                                                            2028-December 31,    2029-December 31,    2030-December 31,
                                                                                            2028).               2029).               2030).
--------------------------------------------------------------------------------------------------------------------------------------------------------

    We believe that including the Information Transfer PRO-PM in TEAM 
would enhance the model because it is a general measure not tied to a 
specific clinical diagnosis or procedure. This flexibility means it 
could apply to current episode categories initiated in the HOPD and any 
future episode categories, if proposed and finalized in future 
rulemaking. We also emphasize the importance of increasing the number 
of PRO-PMs, as they offer a direct way to incorporate patient input 
into quality measure performance. We further believe that delaying the 
inclusion of the Information Transfer PRO-PM until PY3 would allow TEAM 
participants to gain 1 year of mandatory reporting

[[Page 18385]]

experience before the measure is incorporated into TEAM, affecting 
their composite quality score (CQS) and ultimately their reconciliation 
amounts. Lastly, similar to the other two measures that we considered 
but did not propose (THA/TKA PRO-PM and Hospital Visits within 7 Days 
after Hospital Outpatient Surgery), inclusion of the Information 
Transfer PRO-PM aligns with those used in ongoing models and programs 
(this measure aligns with already existing reporting requirements for 
the Hospital Outpatient Quality Reporting (OQR) Program) and therefore, 
would not increase TEAM participant burden.
    We seek comment on our proposal to include the Information Transfer 
PRO-PM in TEAM starting in PY 3. We also seek comment on other quality 
measures, including options for capturing quality of care in the 
outpatient setting and other PRO-PMs appropriate for TEAM quality 
measurement.
(4) Approach for When TEAM Participant Has No Quality Measure 
Performance Data
    As was outlined in Table X.A.-09 of the FY 2025 IPPS/LTCH PPS final 
rule (89 FR 69744), TEAM quality measures will be evaluated against a 
measure performance period. The measure performance periods are 
consistent with those used in ongoing models and programs in which TEAM 
measures align, including the Hospital IQR Program and Hospital-
Acquired Condition Reduction Program performance periods, so that there 
is no additional reporting burden on TEAM participants as a result of 
the quality measures used in TEAM. However, we recognize it is possible 
that some TEAM participants may not have a complete measure set during 
this performance period in which to measure their quality against. For 
example, a newly established hospital that began seeing Medicare 
beneficiaries in early 2025 may have no or incomplete quality measure 
data given the quality measure performance periods for the three 
quality measures used in PY 1 which rely on quality measure performance 
periods starting on July 1, 2023, or 2024, through June 30, 2025. 
Additionally, we recognize some quality measures in TEAM, specifically 
the Hospital Harm--Falls with Injury (CMIT ID #1518) and the Hospital 
Harm--Postoperative Respiratory Failure (CMIT ID #1788) measures, are 
electronic clinical quality measure (eCQM) available for self-selection 
in the Hospital IQR Program. This means hospitals are not mandated to 
report these two measures for the Hospital IQR Program. Therefore, it's 
possible that a TEAM participant may not select to report those two 
measures to the Hospital IQR Program, which would result in having no 
quality measure data for those two measures in TEAM. We still believe 
it's important to be mindful of TEAM participant burden, and do not 
want to remove a TEAM participant's ability to self-select those 
measures. Therefore, having no or incomplete quality measure data may 
make calculating of the CQS, which is then used to adjust the TEAM 
participant's reconciliation amount, challenging. The CQS, as described 
in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69744), is the pay-for-
performance mechanism that ties quality measure performance to payment, 
ultimately incentivizing and rewarding cost savings in relation to the 
quality of episode care provided by the TEAM participant.
    The CQS is constructed by converting the TEAM participant's raw 
quality measure score for the performance year into a scaled quality 
measure score. TEAM participants that have no or incomplete quality 
measure data would not have a raw quality measure score, making the 
conversion to a scaled quality measure score impossible. This would 
result in a CQS that is only based on the quality measures that had 
sufficient data to produce a scaled quality measure score or 
potentially a CQS that could not be calculated if all quality measures 
had lacked a raw quality measure score. We believe it is important for 
TEAM participants that may have no or incomplete quality measure data 
to not be penalized for a lack of quality measure data when they may in 
fact be providing high quality care to Medicare beneficiaries. 
Therefore, we propose assigning a neutral quality measure score to TEAM 
participants with no or an incomplete raw quality measure score for a 
given quality measure. Specifically, a TEAM participant that does not 
have a raw quality measure score for a given quality measure would be 
assigned a scaled quality measure score of 50, which is the midpoint on 
the CQS scale of 0-100. We believe this approach would not disadvantage 
a TEAM participant who may be providing high quality care, because this 
neutral quality measure score ensures providers are not unfairly 
penalized due to insufficient quality measure data. Once the TEAM 
participant reaches the threshold for sufficient data to produce raw 
quality measure data, it will be converted into a scaled quality 
measure in the subsequent performance year. We considered but are not 
proposing a policy under which hospitals have to meet certain criteria 
in order to receive a 50th performance percentile for quality measure 
when insufficient volume was present. For example, if a hospital had 
insufficient volume due to failure to report quality data, then they 
may receive a lower quality score, such as 25th percentile.
    This approach to assign participant hospitals a 50th performance 
percentile of a quality measure when a low volume hospital did not have 
reportable quality measure values (80 FR 73364) is consistent with the 
CJR model. Though there is a slight policy difference since this was 
for CJR hospitals that had a low volume of triggered episodes, the 
implication of having no or minimal information of quality data is 
similar, and therefore, why we are proposing to utilize this approach.
    We considered, but are not proposing here, a policy under which 
TEAM participants with no or incomplete quality measure data would 
receive the average scaled quality measure score across all TEAM 
participant hospitals for a given quality measure. While we believe 
this approach may result in a reasonable scaled quality measure score, 
we have concerns that a TEAM participant's scaled quality measure score 
is influenced by how well other TEAM participants perform in quality. 
Therefore, we believe our proposed approach of assigning a scaled 
quality measure score of 50 would be unbiased and easier to compute.
    We seek comment on our proposal at Sec.  512.547(b)(1)(i)(D) to 
assign a scaled quality measure score of 50 when the TEAM participant 
has no or an incomplete raw quality measure score for a given quality 
measure.
c. Pricing Methodology
(1) Background
    As finalized in the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986) 
TEAM participants will be provided with target prices for each MS-DRG/
HCPCS episode type. These target prices will be calculated using 3 
years of baseline data, trended forward to the performance year, at the 
level of MS-DRG/HCPCS episode type and region, with updates to be made 
using the performance year data during the reconciliation process. The 
regions are defined as the nine U.S. census divisions and the MS-DRG/
HCPCS episode type is based on the episode categories that will be 
tested in the model: Coronary Artery Bypass Graft (CABG), Lower 
Extremity Joint Replacement (LEJR), Major Bowel

[[Page 18386]]

Procedure, Surgical Hip Femur Fracture Treatment (SHFFT), and Spinal 
Fusion.
    Episode spending will be capped at the 99th percentile for each of 
the 29 MSDRG/HCPCS episode types and 9 regions, and the benchmark price 
will be calculated as the average capped and standardized spending in 
baseline year 3 dollars for each MS-DRG/HCPCS episode type in each 
region, resulting in 261 benchmark prices. Benchmark prices will be 
calculated using all hospitals in a region, regardless of TEAM 
participation status. CMS will apply a prospective trend factor and a 
discount factor to benchmark prices. During reconciliation, these 
preliminary target prices will be updated by updating the trend 
(subject to caps) and normalization factor (subject to caps) and by 
factoring in each participant's realized risk adjustment factors.
    Risk adjustment factors will be calculated and made available to 
TEAM participants prior to the start of the performance year, so 
participants would be able to use them to estimate their episode-level 
target prices. Risk adjustment factors include age group, Hierarchical 
Condition Category (HCC) count, and beneficiary social risk as risk 
adjusters, as well as episode category-specific HCC adjusters and 
provider-level adjusters. The risk adjustment factors will be 
calculated at the MS-DRG/HCPCS level on baseline episodes, using a 
weighted linear regression where episodes are weighted differentially 
based on whether they belong to year 1, 2, or 3 of the baseline 
periods. Episodes from baseline year 1 will be weighted at 17 percent, 
baseline year 2 at 33 percent, and baseline year 3 at 50 percent. The 
risk adjustment factors will be held fixed and applied to performance 
year episodes at reconciliation based on the realized case mix of the 
TEAM Participant in the performance year.
    After risk adjusting for the performance year case-mix, CMS will 
normalize the target prices to ensure that the average of the total 
risk-adjusted preliminary target price does not exceed the average of 
the total non-risk adjusted preliminary target price. The final 
normalization factor will be calculated as the national mean of the 
benchmark price for each MS-DRG/HCPCS episode type divided by the 
national mean of the risk-adjusted benchmark price for the same MS-DRG/
HCPCS episode type. However, it will be capped should this ratio exceed 
5 percent of the prospective normalization factor. The 
final target prices will include a retrospective trend factor, which 
will be capped at being within 3 percent of the prospective trend. The 
retrospective trend factor will be calculated as the average capped 
performance year episode spending at the MS-DRG/HCPCS episode type and 
region level divided by the capped mean baseline episode spending in 
baseline year 3 dollars at the MS-DRG/HCPCS episode type and region 
level (that is, national mean benchmark price). Table XI.A.-04 provides 
a few examples of the calculation of the retrospective trend factor for 
three MS-DRG/HCPCS regions in which the retrospective trend factor is 
capped at 3 percent below the prospective trend factor, not capped, and 
capped at 3 percent above the prospective trend factor, respectively.

                                             Table XI.A.-04--Example Calculating Retrospective Trend Factor
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                             Average capped
                                                                                baseline     Prospective  Average capped                      Capped
                             MS-DRG                                 Region       episode        trend       performance    Retrospective   retrospective
                                                                               spending in      factor     year episode    trend factor    trend factor
                                                                               BY3 dollars                   spending
--------------------------------------------------------------------------------------------------------------------------------------------------------
231.............................................................          1      $80,000.00         1.05      $78,400.00            0.98            1.02
232.............................................................          1       55,000.00         0.95       53,350.00            0.97            0.97
233.............................................................          1       70,000.00         1.05       78,400.00            1.12            1.08
--------------------------------------------------------------------------------------------------------------------------------------------------------

    In summary, the reconciliation (final) target price will be 
calculated as the product of the capped mean baseline episode spending 
in baseline year 3 dollars, the capped retrospective trend, the risk 
adjustment multiplier using the performance year case-mix, and the 
capped final normalization factor. Table XI.A.-05 provides a few 
examples of reconciliation target price calculations for a fictional 
hospital with three MS-DRG/HCPCS and region combinations as finalized 
in the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986).

                                            Table XI.A.-05--Example Calculating Reconciliation Target Prices per the FY 2025 IPPS/LTCH PPS Final Rule
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                                                                    Performance
                                                                                                                       risk        Capped final       Capped
                                                                                                     Benchmark      adjustment     normalization   retrospective     Discount      Final target
                               CCN                                    MS-DRG          Region       price (MS-DRG    multiplier      factor (MS-    trend factor     factor (MS-        price
                                                                                                      region)      (CCN  MS-DRG        DRG)           (MS-DRG        DRG) (%)
                                                                                                                      region)                         region)
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
123456..........................................................             231               1      $80,000.00            1.41            0.77            1.02             1.5      $87,048.84
123456..........................................................             232               1       55,000.00            1.03            0.95            0.97             1.5       51,548.80
123456..........................................................             233               1       70,000.00            1.15            0.91            1.08             1.5       77,958.94
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

    TEAM participants will have the opportunity to achieve a 
reconciliation payment amount, after accounting for quality 
performance, if their performance year spending is below the 
reconciliation target price, or they may owe a repayment amount if 
their spending is above the reconciliation target price.
(2) Accounting for Future Changes to MS-DRGs and HCPCS
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986), we 
acknowledged comments about how we would address episode pricing when 
there are Medicare Severity Diagnosis Related Group (MS-DRG) or 
Healthcare Common Procedure Coding System (HCPCS) code modifications or 
other payment system changes over the course

[[Page 18387]]

of the model (89 FR 69719 and 69750). Specifically, we received 
multiple comments inquiring about this issue given the deletion of 
three spinal fusion MS-DRGs 453-455 and the addition of eight new 
spinal fusion MS-DRGs. In the final rule, we stated that we would be 
proposing a policy in future rulemaking for how to construct target 
prices when there are MS-DRG or HCPCS modifications or other payment 
system changes that may arise over the course of the model. In this 
proposed rule, we aim to clarify both our intention to incorporate 
these changes into the model when they occur and the specific 
methodology for target price construction in such a case. Failing to 
incorporate MS-DRG or HCPCS changes that arise between the baseline 
period and the performance year may lead to a significant drop in 
episode volume during the performance year and limit the number of 
beneficiaries exposed to the potential benefits of the model.
    As an episode-based payment model, an important feature of TEAM is 
identifying the procedures or clinical conditions that would initiate 
an anchor hospitalization or anchor procedure. TEAM relies on MS-DRG 
codes to initiate an anchor hospitalization and HCPCS codes to initiate 
an anchor procedure. However, MS-DRG and HCPCS codes, and more 
specifically the assignment of HCPCS codes to Ambulatory Payment 
Classifications (APCs), may be modified because of changes in treatment 
patterns, technology, and any other factors that may change the 
relative use of hospital and provider resources. Typically, CMS 
proposes and finalizes coding changes, as applicable, through 
established annual payment rules, such as the FY IPPS/LTCH proposed and 
final rules and the CY Outpatient Prospective Payment System (OPPS)/
Ambulatory Surgical Center (ASC) proposed and final rules. MS-DRG or 
HCPCS changes resulting from these rules may directly impact TEAM 
because they may alter which codes would initiate an anchor 
hospitalization and anchor procedure and subsequently may change the 
composition of episodes and its spending observed in the baseline 
period compared to the performance years for TEAM. This is significant 
for two reasons: (1) TEAM uses a 3-year historical baseline period to 
construct target prices for a given performance year, and if the codes 
that existed in the baseline period do not exist or were modified, then 
this can lead to target prices that may not appropriately reflect 
episode spending in the performance year; and (2) new codes established 
during the performance year that did not exist in the baseline period 
would not have a target price since TEAM's target prices are based on 
the MS-DRG/HCPCS episode type.
    To accommodate the spinal fusion MS-DRG changes from the FY 2025 
IPPS/LTCH final rule, account for any future MS-DRG or HCPCS/APC 
changes, and construct preliminary target prices, we are proposing a 
standard, three-step approach to account for MS-DRG and HCPCS/APC 
changes by remapping and adjusting relevant MS-DRG/HCPCS episode types 
during the baseline period to estimate performance year costs. 
Specifically, we propose that Step 1 would be to identify diagnosis or 
procedure codes that are being moved from one MS-DRG or HCPCS/APC to 
another based on the FY IPPS/LTCH or CY OPPS/ASC final rules of the 
relevant performance year and then map these codes to the new or 
revised MS-DRGs or HCPCS/APCs. In other words, baseline period episodes 
are reassigned to the MS-DRG or HCPCS/APC they would have received had 
the episode occurred in the performance year. For example, the spinal 
fusion MS-DRG 453 existed in the baseline period but was removed in the 
FY 2025 IPPS/LTCH PPS final rule. The procedure codes under MS-DRG 453 
would be moved under three new MS-DRGs finalized in the FY 2025 IPPS/
LTCH PPS final rule and based on the presence of specific procedure and 
diagnosis codes, as demonstrated in Table XI.A.-06.

                                  Table XI.A.-06--Example MS-DRG Mapping Logic
----------------------------------------------------------------------------------------------------------------
                                           Mapping logic: move the anchor stay from the baseline   Re-mapped MS-
             Baseline  MS-DRG                          MS-DRG to the remapped MS-DRG                    DRG
----------------------------------------------------------------------------------------------------------------
453......................................  Presence of single anterior fusion and posterior                  402
                                            fusion (except cervical) procedure codes without a
                                            diagnosis code on the MCC/CC list.
453......................................  Presence of the following procedure code combinations             426
                                            with a diagnosis code on the MCC list: (i) single
                                            level anterior and multiple level posterior fusion;
                                            or (ii) single level posterior and multiple level
                                            anterior fusion; or (iii) multiple level anterior
                                            and posterior fusion; or (iv) single level anterior
                                            and posterior fusion.
453......................................  Presence of cervical anterior fusion or cervical                  429
                                            posterior fusion procedure codes with a diagnosis
                                            code on the MCC list.
----------------------------------------------------------------------------------------------------------------

    Based on the mappings for a given performance year, we propose that 
inpatient stays and outpatient procedures in the baseline would fall 
into one of three, mutually exclusive and collectively exhaustive 
mapping groups:
     Group 1: Existing MS-DRGs or HCPCS/APCs which would be 
deleted and mapped to new or existing MS-DRGs
     Group 2: Existing MS-DRGs or HCPCS/APCs which would be 
retained but portions of them would be mapped to new or existing MS-
DRGs or HCPCS/APCs
     Group 3: MS-DRGs or HCPCS/APCs where there would be no 
changes occurring
    For Step 2, we propose to construct episodes using the remapped MS-
DRG or HCPCS/triggers. We propose that a baseline period episode would 
initiate an anchor hospitalization or anchor procedure based on whether 
the remapped MS-DRG or HCPCS, rather than the original MS-DRG or HCPCS, 
initiates a TEAM episode. Further, we propose that preliminary prices 
would then be constructed in the same manner described in Sec.  512.540 
of the FY 2025 IPPS/LTCH PPS final rule, with target prices for each 
MS-DRG/HCPCS episode type, inclusive of episodes initiated by anchor 
hospitalizations and anchor procedures that would be related to these 
newly incorporated diagnosis or procedure codes.
    Lastly, we propose that Step 3 would adjust the standardized 
allowed amounts, used in target price calculations, to account for 
changes in fee-for-service rates between the baseline period and 
performance year due to changes to MS-DRG or HCPCS/APC weights (which 
account for relative intensity of hospital resource use). To do this, 
we propose to use a scaling factor, which we propose to define at Sec.  
512.505 to mean the ratio of the re-mapped MS-DRG or HCPCS/APC relative 
weight in the performance year, as applicable to the original MS-DRG or 
HCPCS/APC relative weight in the baseline period. The scaling factor 
adjusts the standardized allowed amount to account for differences in 
the

[[Page 18388]]

relative weights of the original and re-mapped MS-DRGs. This adjustment 
would replicate the payment the anchor hospitalization or anchor 
procedure would have received if the MS-DRG or HCPCS/APC assignments 
had been the same as they are in the performance year. Calculating the 
scaling factor as the ratio of the re-mapped MS-DRG relative weight in 
the performance year to the original MS-DRG relative weight in the 
baseline year also ensures the cost remains in baseline year dollars. 
Table XI.A.-07 provides an example of the scaling factor calculation 
for each of the three possible MS-DRG groups.

                                                 Table XI.A.-07--Example Calculating the Scaling Factor
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                                                           Original MS-    Remapped MS-
                                             Baseline      Baseline MS-     Performance    Remapped MS-    DRG relative    DRG relative
                  Group                    period fiscal        DRG         year fiscal         DRG           weight          weight      Scaling factor
                                               year                            year
--------------------------------------------------------------------------------------------------------------------------------------------------------
Group 1.................................            2021             453            2025             402          9.1936          3.9292        0.427384
Group 2.................................            2020             469            2023             521          3.1399          3.0192        0.961559
Group 2.................................            2020             469            2023             469          3.1399          3.2314         1.02914
Group 3.................................            2021             329            2023             329          4.8503          4.6233        0.953199
--------------------------------------------------------------------------------------------------------------------------------------------------------

    After calculating the scaling factor, we propose that the 
standardized allowed amount of the MS-DRG portion of the anchor 
hospitalization, or the HCPCS/APC portion of the anchor procedure, from 
the baseline year would be multiplied by the corresponding scaling 
factor to calculate the standardized allowed amount for the performance 
year. Table XI.A.-08 demonstrates application of the scaling factor for 
anchor hospitalizations while Table XI.A.-09 demonstrates application 
of the scaling factor for anchor procedures.

                                                         Table XI.A.-08--Example Appyling the Scaling Factor to Anchor Hospitalizations
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                                                                                                                    Scaled std
                                                                   Baseline  MS-   Re-mapped PY     Performance    Standardized     Std allowed                   allowed amount  Total adjusted
                       Baseline year (BY)                               DRG           MS-DRG         year (PY)     (std) allowed  amount for MS-  Scaling factor        for          cost (std
                                                                                                                   amount in BY         DRG                         MS[dash]DRG      dollars)
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
2021............................................................             453             402            2024         $20,000         $20,000        0.427384       $8,547.69       $8,547.69
2021............................................................             453             402            2024          22,500          20,000        0.427384        8,547.69       11,047.69
2021............................................................             453             402            2024          15,000          15,000        0.427384        6,410.76        6,410.76
------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------


                                        Table XI.A.-09--Example Appyling the Scaling Factor to Anchor Procedures
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                                                                                                Total
                                      Baseline     Baseline                Remapped PY    Baseline      PY APC      Scaling      Baseline     adjusted
            Baseline CY                HCPCS         APC           PY          APC       APC weight     weight       factor      episode     cost (std.
                                                                                                                                   cost       dollars)
--------------------------------------------------------------------------------------------------------------------------------------------------------
2021..............................        27702         5115         2024         5116     148.7344      203.203     1.366214      $12,000    $16,394.57
2021..............................        22612         5115         2024         5116     148.7344      203.203     1.366214       15,000     20,493.21
--------------------------------------------------------------------------------------------------------------------------------------------------------

    We believe this three-step approach allows the construction of 
preliminary target prices when there are MS-DRG or HCPCS/APC changes 
while ensuring anchor hospitalizations and anchor procedures maintain a 
consistent composition of patient cohorts. Further, it creates a 
standard process to address Medicare payment rate changes across time 
by identifying MS-DRG and HCPCS codes that initiate an anchor 
hospitalization or anchor procedure in the baseline period and how it 
would be billed under current Medicare payment rates and rules. Lastly, 
we believe this three-step approach for TEAM adequately captures the 
majority of year-to-year variation in Medicare spending and avoids 
unnecessary complexity by focusing on anchor hospitalization and anchor 
procedure costs. TEAM's pricing methodology includes a retrospective 
trend factor that can help capture Medicare FFS rate changes for non-
anchor hospitalization and anchor procedure costs, which makes 
capturing additional Medicare spending variation outside of the anchor 
hospitalization or anchor procedure unnecessary and less transparent to 
TEAM participants.
    We considered an alternative approach to make different adjustments 
to claims in the post-discharge or post-procedure period. This approach 
would have incorporated a fourth step, similar to the method used in 
the BPCI Advanced model, to further adjust the mapped, performance year 
MS-DRG and HCPCS/APC using setting-specific update factors. Although 
this methodology more accurately captures the changes in episode 
spending related to shifts in MS-DRG HCPCS/APC composition and Medicare 
FFS rate updates, there are more steps involved which can increase the 
complexity and require a high level of effort to implement. We also 
considered an even more simplistic approach in which we would replace 
the standardized MS-DRG or APC allowed amount from the baseline year 
with the standardized allowed amount from the performance year. 
However, doing so would not account for other changes in pricing from 
year to year. Using a ratio of the relative weights better preserves 
these pricing changes. We seek comment on these alternatives.
    We note that TEAM constructs preliminary target prices based on a 
performance year, which aligns with a calendar year timeframe, and 
would be shared with TEAM participants prior to each performance year. 
Typically, MS-DRG changes are aligned to a fiscal year and HCPCS/APC 
changes align to a calendar year. This means that the proposed three-
step approach may not address MS-DRG changes that are implemented in 
the last quarter of a performance year. We considered, but are not 
proposing, updating preliminary target prices for Medicare payment rule 
fiscal year updates, similar to how the BPCI Advanced model updates 
prices and how the early years of the Comprehensive Care for Joint 
Replacement (CJR) model updated prices. However, that would create two

[[Page 18389]]

preliminary target prices for a given performance year, rather than one 
preliminary target price as currently finalized. Having to manage two 
different preliminary target prices in a given performance year can 
increase participant burden and pricing methodology complexity. 
Further, updating the preliminary target price during the middle of the 
performance year can increase target price instability, even though it 
may produce more accurate target prices. We seek comment on whether we 
should update preliminary target prices during the performance year to 
account for any fiscal year or calendar year Medicare payment rule 
changes that occur after preliminary target prices are released to TEAM 
participants.
    We seek comment on our proposal at Sec.  512.505 to define scaling 
and at Sec.  512.540(a)(2)(i) through (iii) to account for MS-DRG and 
HCPCS/APC changes between the baseline period and the performance year 
that arise from Medicare payment rule changes.
(3) U.S. Territories and Census Division 9
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986) that 
established TEAM, we noted that hospitals in the five U.S. territories 
(American Samoa, Guam, the Northern Mariana Islands, Puerto Rico, and 
the U.S. Virgin Islands) will be grouped alongside Census Division 9 
(that is, the Pacific region) for the purposes of construction of 
regional prices (89 FR 69751). In response to public inquiries asking 
which specific Census Division U.S. territories would be categorized 
into since it was not reflected in regulatory text, we are proposing to 
revise the definition for region at Sec.  512.505 to more clearly 
reflect this policy. Therefore, we propose that hospitals located in 
one of the five U.S. territories (American Samoa, Guam, the Northern 
Mariana Islands, Puerto Rico, and the U.S. Virgin Islands) will be 
grouped alongside Census Division 9. Specifically, we propose to revise 
the definition for region at Sec.  512.505 to mean one of the nine U.S. 
census divisions, as defined by the U.S. Census Bureau, with the U.S. 
territories included in Census Division 9. We believe grouping the U.S. 
territories to Census Division 9 is the most appropriate given the 
majority of U.S. territories captured in this group are located in the 
Pacific region. Mean episode spending for hospitals within the five 
U.S. territories is lower than hospitals in Census Division 9 for most 
episode types, and episode counts are significantly smaller. Therefore, 
including hospitals within the five U.S. territories as part of Census 
Division 9 will not disadvantage them since the benchmarks are expected 
to be higher. Moreover, any differences in spending that are due to 
patient case-mix between these regions should be accounted for through 
risk adjustment, ensuring providers are not penalized within the five 
U.S. territories.
    Further, this approach is similar to how the BPCI Advanced model 
grouped the U.S. territories for the Census Division peer group 
characteristic. This policy would address the one CBSA in Puerto Rico 
(10380: Aguadilla, PR) selected for participation in TEAM. TEAM 
participants in this CBSA would use regional target prices calculated 
for Census Division 9.
    We considered but are not proposing grouping hospitals in a U.S. 
territory into a separate group not based on Census Division but 
believe that doing so would create unnecessary complexity and reduce 
uniformity in how target prices are constructed in TEAM.
    We seek comment on our proposal at proposed Sec.  512.505 to 
include U.S. territories in Census Division 9.
(4) Calculation and Application of Normalization Factors
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986) that 
established TEAM, we finalized using a normalization factor in our 
calculation of preliminary and reconciliation target prices. The 
normalization factor is the ratio of the average benchmark price 
divided by the average risk-adjusted benchmark price. We will multiply 
the risk-adjusted benchmark prices by the normalization factor to 
ensure the average benchmark price after risk adjustment does not 
exceed the average benchmark price prior to risk adjustment. If the 
average benchmark price is higher than the average risk-adjusted 
benchmark price, then the normalization factor will be greater than 1, 
and its application will increase the risk-adjusted benchmark prices. 
If the average benchmark price is lower than the average risk-adjusted 
benchmark price, then the normalization factor will be less than 1, and 
its application will decrease the risk-adjusted benchmark prices.
    In the FY 2025 IPPS/LTCH PPS final rule, we finalized a policy to 
calculate a prospective normalization factor during the creation of 
preliminary target prices, which we would then modify (by no more than 
5 percent) for the final normalization factor when 
constructing reconciliation target prices. Under our current policy, 
the prospective normalization factor will be calculated as the ratio of 
the average total risk-adjusted preliminary target price to the average 
total non-risk adjusted preliminary target price for each MS-DRG/HCPCS 
episode type. We also finalized the final normalization factor, which 
will be calculated as the national mean of the benchmark price for each 
MS-DRG/HCPCS episode type divided by the national mean of the risk-
adjusted benchmark price for the same MS-DRG/HCPCS episode type.
    To ensure consistency in our approach to calculating the 
prospective normalization factor(s) and the final normalization 
factor(s), we are proposing to update the language at Sec.  512.505 to 
clarify that the prospective normalization factor will be calculated 
using the benchmark prices (that is, the average non-risk adjusted 
preliminary benchmark price divided by the average risk adjusted 
preliminary benchmark price) rather than using preliminary target 
prices. Specifically, we are proposing to revise the definition for 
prospective normalization factor to mean the multiplier incorporated 
into the preliminary target price to ensure that the average of the 
total risk-adjusted benchmark price does not exceed the average of the 
total non-risk adjusted benchmark price, calculated as set forth in 
Sec.  512.540(b)(6). We are similarly proposing to revise the 
definition for final normalization factor at Sec.  512.505 to mean the 
benchmark price for each MS-DRG/HCPCS episode type and region divided 
by the mean of the risk-adjusted benchmark price for the same MS-DRG/
HCPCS episode type and region. Benchmark prices are calculated prior to 
incorporating the trend factor and discount factor. Therefore, using 
benchmark prices rather than target prices for calculating the 
prospective normalization factor would preserve the effect of the trend 
and discount factors and would prevent the prospective normalization 
factor from being influenced by the trend and discount factors. This 
proposed policy would ensure consistency in the construction of the 
prospective and final normalization factors. We seek comment on our 
proposals at Sec.  512.505 to construct the prospective normalization 
factor using benchmark prices and to construct the final normalization 
factor to be based on MS-DRG/HCPCS episode type and region.
    Additionally, in the FY 2025 IPPS/LTCH PPS final rule (89 FR 
68986), we finalized a policy to calculate normalization factors at the 
MS-DRG/HCPCS level--that is, to calculate normalization factors as the 
average national non-risk adjusted benchmark price divided by the 
average national risk-adjusted preliminary benchmark

[[Page 18390]]

price for each MS-DRG/HCPCS episode type. To further ensure consistency 
in our approach to calculating target prices, we are proposing to 
calculate normalization factors at the MS-DRG/HCPCS region level. We 
propose to calculate normalization factors as the average regional non-
risk adjusted benchmark price divided by the average regional risk-
adjusted preliminary benchmark price for each MS-DRG/HCPCS episode 
type. This will produce a unique normalization factor for each region 
and MS-DRG/HCPCS episode type for a total of 261 normalization factors 
(as opposed to just 29 normalization factors, as previously proposed). 
We believe this approach is preferable because it will ensure that the 
regional average MS-DRG/HCPCS target price is equal to the regional 
average MS-DRG/HCPCS benchmark price. We seek comment on our proposal 
at Sec. Sec.  512.540(b)(6) and 512.545(e)(1)(i) to construct the 
normalization factors for each MS-DRG/HCPCS at the region level.
    Table XI.A.-10 provides a few examples of the proposed calculation 
of the prospective and final normalization factors for three MS-DRG/
HCPCS regions in which the final normalization factor is capped at 5 
percent below the prospective normalization factor, not capped, and 
capped at 5 percent above the prospective normalization factor, 
respectively.

                                                Table XI.A.-10--Example Calculating Normalization Factor
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                           National mean                   National mean
                                                           National mean   baseline risk    Prospective     performance        Final       Capped final
                    DRG                         Region       benchmark       adjusted      normalization   risk adjusted   normalization   normalization
                                                               price         benchmark        factor         benchmark        factor          factor
--------------------------------------------------------------------------------------------------------------------------------------------------------
231........................................            1      $80,000.00      $96,000.00            0.83     $104,000.00            0.77            0.79
232........................................            1       55,000.00       55,550.00            0.99       57,750.00            0.95            0.95
233........................................            1       70,000.00       84,000.00            0.83       77,000.00            0.91            0.88
--------------------------------------------------------------------------------------------------------------------------------------------------------

    Lastly, we wish to clarify how normalization factors will be 
applied in the calculation of preliminary target prices and how 
preliminary target prices will be provided to TEAM participants. We 
previously finalized a policy to provide each TEAM participant within a 
region with the same preliminary target price for an MS-DRG/HCPCS 
episode type. We also stated that prospective normalize factors would 
be incorporated into this preliminary target price and that risk 
adjustment factors would be calculated and separately be made available 
to TEAM participants prior to the start of the performance year, so 
participants would be able to use them to estimate their episode-level 
target prices. In this proposed rule, we are proposing that two 
separate preliminary target prices will be made available to all 
participants: (1) the regional average target price for each MS-DRG/
HCPCS episode type, before application of the risk adjustment factors 
or normalization factors; and (2) a TEAM participant-specific 
preliminary target price, including the TEAM participant's average risk 
adjustment factors (calculated based on the TEAM participant's case mix 
in the baseline period) and the regional MS-DRG/HCPCS normalization 
factors. We believe that these two target prices will provide TEAM 
participants with the most complete information to both anticipate 
their final reconciliation target prices and understand their 
performance as compared to other participants within the same region. 
We seek comment on our proposal at Sec.  512.540(b)(8) to communicate 
and share preliminary target prices that are region specific and TEAM 
participant specific.
(5) Calculation of the Prospective Trend Factor
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986) that 
established TEAM, we finalized a pricing methodology using a 3 percent 
capped retrospective trend factor. Under this methodology, 
reconciliation target prices are based on average regional MS-DRG 
spending in the contemporaneous performance year. The retrospective 
approach ensures that reconciliation target prices accurately account 
for unpredictable year-to-year fluctuations in spending, including the 
introduction of new technologies and medical advancements and 
unexpected increases or decreases to health care utilization (for 
example, the COVID-19 public health emergency). However, as stated in 
the FY 2025 IPPS/LTCH PPS final rule (89 FR 69745), we believe that 
providing TEAM participants with preliminary target prices before each 
performance year--and ensuring the accuracy and reliability of 
preliminary target prices--is essential to participants' success. 
Accurate target prices enable participants to prepare and undertake 
appropriate care transformation. We also believe the methodology for 
setting prospective target prices should be sufficiently simple that it 
is transparent to participants. With our methodology, we aimed to find 
the balance between simplicity and predictive accuracy.
    The methodology finalized in the FY 2025 IPPS/LTCH PPS final rule 
calculates preliminary target prices by applying a trend factor to 
average regional MS-DRG spending in the final year of the baseline 
period. This trend factor is calculated as the 2-year percentage change 
from baseline year 1 (BY1) to baseline year 3 (BY3)--specifically 
average regional MSDRG spending in BY3 divided by average regional MS-
DRG spending in BY1. We proposed and finalized the use of a 2-year 
trend because of the 2-year lag between each performance year and 
spending data availability from prior years. For example, preliminary 
target prices for performance year 1, 2026, will be shared with 
participants during 2025, when the last available complete year of data 
will be from 2024. Therefore, there is a need to convert 2024 spending 
into 2026 prices. We believed the simplicity of this approach would 
ensure transparency in our methodology.
    However, further review of our methodology and testing using 
simulated reconciliation results, which relied on using baseline period 
data from 2019 and 2021 and a 2023 performance year, demonstrated 
potential shortcomings of this methodology. Specifically, the 
specification for the calculation of the 2-year trend factor used only 
spending data from BY1 and BY3, omitting data from BY2. Given expected 
variability in year-to-year spending, BY2 is a potentially valuable 
data point to include in our trend predictions. Furthermore, its 
omission has the potential to produce year-to-year fluctuations in 
preliminary target prices which may not accurately reflect trends in 
the baseline period data.
    Therefore, we are proposing to update our preliminary target price 
calculation methodology to one which more fully incorporates available 
data and would more accurately represent year-to-year

[[Page 18391]]

trends. First, we are proposing to change the calculation of the 
prospective trend factor from a percentage change based between BY1 and 
BY3 to an annual percentage change calculated using a linear regression 
model. Specifically, we are proposing to use a log-linear model which 
would fit the model to logarithmically transformed values of average 
regional MS-DRG spending for each of the baseline years. Logarithmic 
transformation of the spending variables serves two purposes. First, it 
reduces the effect of outliers on our coefficient estimates. Second, it 
allows for interpretation of the coefficients as an annual percentage 
change rather than an absolute change. The coefficient estimates would 
be interpretable as the anticipated one-year percentage point change in 
the preliminary target price. For example, a coefficient of 0.03 
reflects a 3 percent year-over-year increase in the average regional 
MS-DRG spending of the hospital. Conversely, a coefficient of -0.03 
reflects a 3 percent year-over-year decrease in the average regional 
MS-DRG spending of the hospital. As there is a 2-year lag between the 
last baseline year and the performance year, we would square the 
exponentiated value of the coefficient estimate to calculate the 2-year 
prospective trend factor to predict the performance year spending. An 
exponentiated coefficient estimate of 1.03 would produce a 2-year 
prospective trend factor of: 1.03\2\ = ~1.061, meaning that average 
regional MS-DRG spending is expected to increase by 6.1 percent between 
the last baseline year and performance year. An exponentiated 
coefficient of 0.97 would produce a trend factor of 0.97\2\ = ~0.941, 
meaning that average regional MS-DRG spending is expected to decrease 
by 5.9 percent between the last baseline year and performance year. The 
2-year trend factor will then proportionally adjust the benchmark price 
for each MS-DRG/HCPCS region preliminary target price based on the 
expected percentage increase or decrease in spending between the last 
baseline year and performance year.
    Second, we are proposing to use 2 additional years of episode 
spending data in our calculation of the prospective trend factor. We 
propose these 2 years be the 2 years immediately prior to the 3-year 
baseline period. Therefore, we propose to define trend year at Sec.  
512.505 to mean either of the 2 years immediately prior to the 3-year 
baseline period used in combination with the baseline period to 
calculate the prospective trend factor. For example, for performance 
year 1 (2026), the 3-year baseline period is 2022 through 2024. 
Therefore, the trend years for performance year 1 would be 2020 (trend 
year 1) and 2021 (trend year 2). We believe using 2 additional trend 
years to calculate the trend factor and estimate preliminary target 
prices would produce more accurate projections of future FFS costs and, 
therefore, more reliable preliminary target prices for TEAM 
participants. We are proposing the use of trend years to only be 
applicable to construction of the prospective trend factor used in 
preliminary target price calculations. We would continue to use the 3-
year baseline period previously finalized in the FY 2025 IPPS/LTCH PPS 
final rule for all other purposes related to TEAM, including but not 
limited to: excluded services, safety net hospital determinations, and 
risk adjustment. We also propose that trend years would roll forward on 
an annual basis in the same manner as the 3-year baseline period. We 
believe rolling the trend years forward annually with the baseline 
period is consistent with our previously finalized methodology, as well 
as with other CMMI models, and ensures a uniform approach to 
calculating prospective trends factors and preliminary target prices in 
each performance year. Lastly, we are proposing to use a blend of 
regional and national trend factors in the calculation of preliminary 
target prices. In the FY 2025 IPPS/LTCH PPS rule we proposed and 
finalized a policy to calculate individual trend factors for each 
regional MS-DRG (89 FR 69756). While we believe that preservation of 
potential variation in regional trends is an important element of our 
pricing methodology, we are concerned that a short baseline period--
even when adding 2 trend years to the period used to make projections--
may amplify short-term regional trends and unpredictable year-to year 
fluctuations that are not an accurate representation of longer-term 
cost trends for TEAM participants and are not likely to produce 
reliable preliminary target prices. Therefore, we propose for each 
regional MS-DRG in each performance year to calculate the prospective 
trend factor as the average (arithmetic mean) of the regional trend 
factor (calculated as proposed previously in this rulemaking) and a 
national trend factor. The national MS-DRG trend factor would be 
calculated in the same manner as regional MS-DRG trend factors using a 
linear regression of logarithmically transformed national average MS-
DRG spending.
    Lastly, we are proposing an additional change to how we calculate 
and apply the high-cost outlier cap finalized in the FY 2025 IPPS/LTCH 
PPS final rule (89 FR 69745). Currently, the high-cost outlier cap is 
an episode spending cap applied to the 99th percentile of regional 
spending for a given MS-DRG/HCPCS episode type in a given region across 
all 3 years of the baseline period. That is, the 99th percentile of 
regional spending for a given MS-DRG/HCPCS episode type is calculated 
for all episodes within the 3-year baseline period, rather than for 
each baseline year individually. As a result, episodes from different 
baseline years are not equally likely to be capped. For example, if per 
episode spending increases year-to-year within the baseline period, 
episodes in more recent years will be more likely to be subject to the 
high-cost outlier cap than episodes in earlier years. Conversely, if 
the per episode spending decreases year-to-year within the baseline 
period, episodes in earlier years will be more likely to be capped. To 
ensure that the trend factor--as well as the benchmark price--are 
calculated in a way that treats all 3 baseline years equally, with 
respect to the high-cost outlier cap, we are proposing to calculate the 
99th percentile for a given MS-DRG/HCPCS episode type in a given region 
individually in each of the baseline and trend years. Although trend 
years are not used in calculation of the benchmark price, we propose to 
apply the high-cost outlier cap to episodes in the trend years as well 
to ensure consistency in the calculation of our trend factor. 
Therefore, we propose to revise the definition for high-cost outlier 
cap at Sec.  512.505 to mean the 99th percentile of regional spending 
for a given MS-DRG/HCPCS episode type, region, and baseline year, which 
is the amount at which episode spending would be capped for purposes of 
determining baseline and performance year episode spending. We believe 
this approach would improve the accuracy of our benchmark prices and 
trend factors and, ultimately, of target prices.
    In proposing this revised methodology for calculating TEAM 
participants' preliminary target prices, we considered multiple 
alternatives for each proposed change. As alternatives to the proposed 
regression-based approach to calculating an annual prospective trend 
factor, we considered retaining the approach finalized in the FY 2025 
IPPS/LTCH PPS rule as well as two similar approaches. The first 
alternative approach we considered would calculate the 2-year trend 
factor

[[Page 18392]]

as double the average of the 1-year trend from BY1 to BY2 (that is, 
average regional MS-DRG episode spending in BY2 divided by average 
regional MS-DRG episode spending in BY1) and from BY2 to BY3. This 
approach would have the benefit of retaining the simplicity of the 
methodology previously finalized while also incorporating all 3 years 
of available baseline data. We also considered an approach that would 
use 4 years of data (3-year baseline plus 1 trend year, defined as the 
year prior to the start of the baseline period) to calculate the 2-year 
trend factor as the average of the 2-year trend from BY1 to BY3 and 
trend year 1 to BY2 (for example, for performance year 1, 2026, the 
average of the 2-year trend factor from 2022 [BY1] to 2024 [BY3] and 
the 2-year trend factor from 2021 [trend year 1] to 2023 [BY2]). We 
intend to conduct further analysis to evaluate the reliability of both 
of these approaches, as compared to the proposed approach, for 
historical episode spending as part of simulated reconciliation. We 
request comment from stakeholders on whether either of these approaches 
would produce more accurate prospective trend factor estimates or 
meaningfully simplify our pricing methodology such that it would be 
easier for TEAM participants to replicate preliminary target price 
calculations and identify potential opportunities for spending 
efficiencies.
    Additionally, we considered proposing the use of weights for 
different baseline and trend years for the regression-based approach. 
Specifically, we considered two alternatives to our proposed approach. 
In the first alternative, we would weight each of the 3 baseline years 
at 0.25 and each of the 2 trends years at 0.125. In the second, we 
considered weights of: BY3 = 0.3, BY2 = 0.25, and BY1 and both trend 
years = 0.15. We request comment on whether weighting more recent years 
used in the calculation of prospective tend factors and projection of 
preliminary target prices would improve the accuracy of target price 
calculations.
    Lastly, we considered alternatives to our proposal to use the 
average of the regional and national trend factors. Specifically, we 
considered using just the regional trend factor, as proposed and 
finalized in the FY 2025 IPPS/LTCH PPS, as well as the use of different 
weights on the regional and national trend factors, for example, a 
weight of 0.67 for the regional trend factor and 0.33 for the national 
trend factor. We intend to conduct further analysis on whether 
alternative weights would provide better estimates of real FFS 
spending.
    We believe our proposed revisions to our methodology for the 
calculation of the prospective trend factor would produce more accurate 
and reliable preliminary target prices for TEAM participants and reduce 
adjustments to reconciliation target prices that are calculated during 
reconciliation. We will maintain the 3 percent cap on the 
retrospective trend factor adjustment. However, we believe that by 
improving the accuracy of prospective trend factor construction used in 
preliminary target prices, the methodological changes proposed 
previously will reduce the frequency with which that 3 percent cap need 
be applied.
    We seek comment on our proposals at Sec.  512.540(b)(7) to 
reconstruct the prospective trend factor and at Sec.  512.540(b)(4) to 
calculate the high-cost outlier cap for each baseline year in the 
baseline period.
(6) Standardizing Area Deprivation Index (ADI)
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986) that 
established TEAM, we finalized a social need risk adjustment factor for 
beneficiary-level risk adjustment in the construction of our 
preliminary and reconciliation target prices. We finalized this 
variable as a single binary variable with a value of yes = 1 if the 
beneficiary--(1) was eligible for full Medicaid benefits (referred to 
as a dual eligible beneficiary eligible to receive both full Medicare 
and Medicaid benefits); (2) was eligible for the Medicare Part D Low 
Income Subsidy (LIS); or (3) resided in a census block group with an 
Area Deprivation Index (ADI) above the 80th percentile of either 
national ranking or 8th decile of the state-level ranking. We noted 
that we believed that accounting for multiple potential markers of 
beneficiary social risk would be most appropriate to ensure accurate 
representation of the additional resources required to treat 
beneficiaries with greater levels of social vulnerability and need. In 
the FY 2025 IPPS/LTCH PPS final rule, we also acknowledged concerns 
that the lack of standardization of ADI variables may make the ADI 
primarily a function of a subset of variables (namely income and home 
values) included in its calculation. Further, we further stated that we 
would continue to explore whether standardization of the ADI variables 
would be appropriate for the purposes of TEAM's risk adjustment 
approach and would propose any such changes in future rulemaking.
    As part of our preparation for TEAM and the calculation of 
preliminary target prices, we constructed episodes using a 2019 through 
2021 baseline period to reassess the value of the social need risk 
adjustment factor. We calculated cross-tabulations of dual eligibility, 
LIS, and ADI status of episodes and beneficiaries identified as 
triggering a TEAM episode. We found that 99.9 percent of dual eligible 
beneficiaries who triggered an episode in TEAM (as well as 99.9 percent 
of episodes associated with a dual eligible beneficiary) were also 
qualified for LIS. This is consistent with the fact that LIS has more 
lenient asset and income requirements than Medicaid and that dual 
eligible beneficiaries automatically qualify for LIS without having to 
apply.
    As previously suggested by commenters in response to the FY 2025 
IPPS/LTCH PPS proposed rule, we explored options for the 
standardization of the ADI that would better measure deprivation in 
urban areas. The CMS Innovation Center's Accountable Care Organization 
REACH (ACO REACH) model includes an adjustment that is a blend of one-
third National ADI scores, one-third State ADI scores, and one-third 
Dual-Eligibility or Low-Income Subsidy status. In performance year 
2025, CMS will remove the National/State blended ADI from ACO REACH and 
replace it with an area-level deprivation measure that uses 
standardized variables. This will better identify deprived areas of the 
nation, particularly for populations in high housing cost areas where 
housing costs do not correlate with the other included economic 
variables.
    Specifically, ACO REACH intends to use a slightly modified census 
block group deprivation index, known as the Community Deprivation Index 
(CDI), which updates and standardizes the variables used in the 
construction of the ADI. Standardization refers to the process making 
the individual indicators that comprise the ADI unit to be neutral by 
subtracting the mean and dividing by the standard deviation before 
combining them to form a composite measure. Standardization prevents 
those variables with high nominal values, namely income and home 
values, from predominating the calculation of the metric. Given the 
extensive work the ACO REACH model has conducted to standardize the 
ADI, we believe it is important to use a similar approach to more 
accurately measure areas of deprivation and create alignment across CMS 
Innovation Center models with similar adjustments.
    Based on our further research and analysis, we are proposing a few 
changes to the construction of the social need risk adjustment factor 
for beneficiary-level risk adjustment in TEAM.

[[Page 18393]]

    First, we are proposing to rename the social needs risk adjustment 
factor to be the beneficiary economic risk adjustment factor and 
replace the use of the ADI in the construction of our beneficiary 
economic risk adjustment variable, with a similar but slightly modified 
census block group deprivation index, the Community Deprivation Index 
(CDI). We propose to use the same construction methodology as the ACO 
REACH model. Specifically, the CDI would be a factor-weighted composite 
measure of 18 variables collected from the Census Bureau. We propose 
the deprivation scores would be percentile ranked relative to the 
Nation such that the resulting index would range from a score of 1, 
indicating the lowest level of relative deprivation, to 100, indicating 
the highest level of relative deprivation. We also propose maintaining 
the use of the 80th percentile threshold for the CDI. For example, the 
TEAM beneficiary would be assigned a value of yes = 1 on the 
beneficiary economic risk adjustment factor if the TEAM beneficiary's 
CDI was above the 80th percentile. We believe the updated variable name 
better represents what the variable is risk adjusting for. We also 
believe the use of the CDI instead of the ADI will better represent 
beneficiary-level deprivation in urban areas due to the standardization 
of variables prior to the construction of the composite measure.
    Second, we are proposing to use only national-level CDI rankings in 
the construction of our beneficiary economic risk adjustment factor. In 
our initial proposal in the FY25 IPPS/LTCH PPS proposed rule (89 FR 
36450), we stated that the use of national- and state-level ADIs would 
help mitigate potential concerns about the validity of the ADI as a 
measure of economic risk given its close correlation with home values. 
We believed that using a relative measure of deprivation within states, 
in addition to a national measure, would better identify high 
deprivation census block groups and beneficiaries in states with high 
incomes and home values. We believe that the standardization of 
variables in the CDI will adequately address the influence of these two 
variables in the aggregate measure, negating the need for the use of 
both national and state rankings.
    Furthermore, we believe that the inclusion of too many measures of 
beneficiary deprivation will dilute risk adjustment for TEAM 
participants with beneficiaries with the highest levels of economic 
vulnerability. Although in the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69772) we confirmed that we would only make upward risk adjustments to 
target prices, target price increases through risk adjustment must be 
offset by across-the-board target price reduction with the application 
of the normalization factor in our target price methodology. Therefore, 
the more beneficiaries receive risk-adjusted target prices, the smaller 
those adjustments must necessarily be.
    As an alternative to our proposed changes to the construction of 
the economic risk factor for beneficiary-level risk adjustment, we 
considered retaining the use of the ADI, including both the national- 
and state-level rankings, and dual eligibility status. As previously 
stated, we believe that the use of the CDI as a standardized 
alternative to the ADI provides a more reliable measure of economic 
risk and negates the need for used of the state-level rankings. We 
further believe that minimizing the number of variables used to 
identify economic risk both keeps the methodology simpler and reduces 
the extent to which positive risk adjustments must be offset by 
normalization, therefore ensuring that beneficiaries with the highest 
levels of deprivation receive adequate risk adjustment. We also gave 
further consideration to additional alternatives to the ADI, including 
the Centers for Disease Control and Prevention's (CDC) Social 
Vulnerability Index (SVI). However, as stated in the FY 2025 IPPS/LTCH 
PPS final rule (89 FR 69799), we continue to believe that it would not 
have been appropriate to use the SVI in place of the ADI or CDI, given 
that SVI is not as granular as the ADI (SVI uses census tracts as 
opposed to census block groups), and given the limitations and timing 
of this source data, the American Community Survey (ACS) 5-year 
estimates. For these reasons, we are not proposing the SVI as a 
potential risk adjustor in TEAM.
    We seek comment on our proposal at Sec.  512.545(a) to rename the 
risk adjustment variable. We also seek comment on our proposal at Sec.  
512.545(a)(3)(i) to use the CDI and remove a measurement of deprivation 
at the State level.
    Finally, we considered but are not proposing at this time to omit 
the dual eligibility (receiving both full Medicare and Medicaid 
benefits) variable from our construction of the single, binary economic 
risk adjustment factor. While we continue to believe that dual 
eligibility is an important indicator of economic vulnerability, we 
believe the near complete overlap between dual eligibility and LIS 
status makes the use of dual eligibility status redundant. Removing the 
dual eligibility variable would simplify the construction of the 
economic risk adjustment factor without sacrificing the identification 
of beneficiaries with high economic risk. Furthermore, LIS also 
provides a nationally consistent measure of economic risk, as LIS 
eligibility is set at the national level, unlike Medicare-Medicaid dual 
eligibility. Lastly, the use of only LIS status, as opposed to both LIS 
and dual eligibility, is consistent with the specification used by CMS 
Innovation Center models, such as the Making Care Primary (MCP) Model.
    While we are not proposing any change at this time to the inclusion 
of the dual eligibility variable in our construction of the economic 
risk adjustment factor, we are seeking comment on whether the removal 
of this variable to streamline construction of the economic risk 
adjustment factor would be preferable.
(7) Hierarchical Condition Categories (HCC) in Risk Adjustment
(a) Lookback Period
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986) that 
established TEAM, we recognized the need to account for beneficiary 
acuity in setting target prices for episode categories tested in TEAM. 
We finalized the use of beneficiary level variables that are episode 
category specific. These beneficiary level variables are drawn from the 
HCCs used in the CMS-HCC risk adjustment model that informs the 
Medicare Advantage (MA) capitation rates and Part C and Part D Payment 
Policies. While the specific HCCs were finalized for each episode 
category in TEAM, we did not finalize the lookback period duration to 
capture the HCCs. Specifically, we did not specify how far back from 
the episode start date CMS would look to capture HCC data to determine 
the total count of HCCs and the episode-specific HCC variables.
    In the early years of BPCI Advanced, we used a 90-day lookback for 
each beneficiary, beginning with the day prior to the anchor 
hospitalization or anchor procedure. We would use the beneficiary's 
Medicare Fee-For-Service (FFS) claims from that 90-day lookback period 
to determine which HCC flags the beneficiary is assigned and create a 
count of those HCC flags. During the COVID-19 public health emergency 
(PHE), BPCI Advanced participants urged CMS to reconsider the 90-day 
lookback period because beneficiaries were hesitant to interface with 
providers during this time, which directly affected the risk adjustment 
and target price methodology. Given those concerns, BPCI Advanced began 
using a 180-day lookback period.

[[Page 18394]]

    Since the COVID-19 PHE has ended and utilization is now once again 
similar to pre-PHE levels, we proposed in the FY 2025 IPPS/LTCH PPS 
proposed rule (89 FR 35934) that we would conduct a 90-day lookback for 
each beneficiary, beginning with the day prior to the anchor 
hospitalization or anchor procedure. We would use the beneficiary's 
Medicare FFS claims from that 90-day lookback period to determine which 
HCC flags the beneficiary is assigned and create a count of those HCC 
flags. This methodology would have been consistent with the earlier 
years of BPCI Advanced and would represent a more uniform way of 
measuring clinical complexity across beneficiaries. It would also 
reduce the incentive for increased coding intensity at the time of the 
initiating procedure. However, following feedback from public comments, 
we held off on finalizing a lookback period to take more time to 
consider alternatives, such as a longer lookback period.
    We now propose to conduct a 180-day lookback for each beneficiary, 
beginning with the day prior to the anchor hospitalization or anchor 
procedure. We propose to use the beneficiary's Medicare FFS claims from 
that 180-day lookback period to determine which HCC variables (or 
flags) the beneficiary is assigned and determine the HCC episode 
specific flags as well as the TEAM HCC count flag. We also propose that 
the TEAM beneficiary would need to meet beneficiary inclusion criteria, 
as described in Sec.  512.535, during the entire 180-day lookback 
period. We believe a 180-day lookback period would sufficiently capture 
beneficiary acuity and ultimately improve the risk adjustment 
methodology to better reflect the level of spending outside of the 
hospital's control. This methodology would be consistent with the 
current BPCI Advanced methodology and would continue to represent a 
more uniform way of measuring clinical complexity across beneficiaries. 
In past internal analyses, CMS has found that a 180-day lookback period 
may improve model fit in a risk adjustment model but may reduce episode 
volume. Internal analysis demonstrated that using a 180-day lookback 
period in BPCI Advanced reduced total episodes from 12,473,202 to 
12,451,784 when looking at a period from October 1, 2015, through 
September 30, 2019. Our analysis further found that extending the 
lookback period from 90 days to 180 days resulted in an average 
increase in regional MS-DRG benchmark prices of just 0.04 percent. The 
average change in regional MS-DRG benchmark prices was just  0.2 percent and only 16 of the 261 benchmark prices changed by 
more than  0.5 percent. Use of 270-day and 365-day lookback 
periods produced only marginally different results.
    However, because of the importance of accurate and complete data 
when risk-adjusting for TEAM, we believe 180-days is the most 
appropriate duration as opposed to lookback periods longer than 180 
days. The 180-day lookback period allows for improvements in model fit 
and modest adjustments in target price accuracy, relative to a 90-day 
lookback period, without a large drop in episode volume in the lookback 
period. Additionally, we believe a 180-day lookback period would 
address public commenters' concerns that the 90-day lookback period did 
not adequately account for past spending associated with beneficiary 
health status. It would also reduce the incentive for increased coding 
intensity at the time of the initiating procedure. Using a lookback 
period, rather than including diagnoses from the episode initiating 
admission/procedure, will minimize the opportunities for participants 
to change coding intensity among their patients relative to non-
participants.
    We recognize other CMS initiatives may use different lookback 
periods. For example, the Enhancing Oncology Model uses HCCs from the 
previous calendar year, and some of the episode-based cost measures in 
the Merit-based Incentive Payment Systems that align with similar 
episode categories tested in TEAM use a 120-day lookback period. 
Therefore, we considered, but are not proposing here, a 90-day, 120-
day, 270-day, or 365-day lookback period to determine which HCC flags 
the beneficiary is assigned. We have not considered lookback periods 
longer than 1 year as we believe that it would capture beneficiary 
acuity that may be unrelated to their episodic care in TEAM, and thus 
arbitrarily adjusting target prices. There is limited research into the 
most appropriate lookback period duration for risk adjustment, however 
there are some findings that suggest that incorporating clinical 
information beyond 1 year does not improve risk adjustment. Although we 
are not proposing this alternative, we seek comment on whether these 
alternative lookback periods would be appropriate for TEAM or if there 
are other lookback period options we should consider.
    We seek comment on our proposal at proposed Sec.  512.545(a) to use 
a 180-day lookback period to determine which HCC flags the beneficiary 
is assigned.
(b) HCC Version
    In the FY 2025 IPPS/LTCH PPS final rule we finalized TEAM's 
approach to risk adjustment for target prices, which included episode 
category risk adjusters linked to specific HCCs that aimed to improve 
target price accuracy by accounting for beneficiary-driven episode 
expenditure variation (89 FR 69763). As indicated in the final rule, a 
Lasso regression analysis with additional input from a Technical Expert 
Panel (TEP) of clinicians was performed to identify the finalized risk 
adjusters, including the specific HCCs. The analysis used HCCs from 
version 22 (v22) of the CMS-HCC risk adjustment model as this version 
is the version used in the BPCI Advanced model which TEAM predicated 
its risk adjustment approach on. However, we are aware that v22 is not 
the most updated version used in the CMS-HCC risk adjustment model. 
Currently, version 28 (v28), as finalized in the Risk Adjustment Data 
Validation (RADV) final rule (88 FR 6643), is used in Medicare Part C 
and other CMS initiatives. Given there is a more recent HCC version and 
its adoption across CMS and its initiatives, we believe it is important 
for TEAM to use a more recent HCC version that relies on ICD-10 
diagnosis codes, rather than previous versions that include ICD-9 
diagnosis codes, leading to more granular HCCs.
    Given HCC v28 results in more granular HCCs, there is not a one-to-
one mapping of the HCCs used in v22 to v28. As there is not a one-to-
one match between HCCs in v22 and v28, a Lasso regression analysis with 
additional clinician input was repeated to identify the specific HCCs 
in v28 that would be used to risk adjust target prices in TEAM. Lasso 
regression analysis is a statistical modeling method used to identify a 
subset of risk adjusters which are most relevant for prediction of the 
natural log difference between clinical episode spending and the 
benchmark price. The objective of Lasso regression is to find the risk 
adjusters that minimize the residual sum of squares. In other words, 
the Lasso regression analysis identifies the risk adjusters that 
minimize the difference between the predicted and the actual values. 
Clinician input helps to identify risk adjusters relevant to clinical 
practice and predicting target prices. Clinician input was informed by 
a literature review of perioperative comorbidities that would affect 
outcome and Lasso covariate estimates to support their recommendations.
    Based on the Lasso analysis and clinician input, we are proposing 
to use

[[Page 18395]]

HCC v28 to identify the episode category specific HCC risk adjusters 
used in TEAM's risk adjustment methodology. Specifically, we are 
proposing to replace the HCC episode category specific risk adjusters 
finalized in FY 2025 IPPS/LTCH PPS final rule with the following HCC 
episode category specific risk adjusters as demonstrated in Table 
XI.A.-011.

                                       Table XI.A.-011--Proposed HCC V28 Episode Category Specific Risk Adjusters
--------------------------------------------------------------------------------------------------------------------------------------------------------
           Episode category                           Finalized HCC v22 risk adjusters                          Proposed HCC v28 risk adjusters
--------------------------------------------------------------------------------------------------------------------------------------------------------
CABG..................................   HCC 18: Diabetes with Chronic Complications.          HCC 37: Diabetes with Chronic
                                                                                                       Complications.
                                         HCC 46: Severe Hematological Disorders.               HCC 48: Morbid Obesity.
                                         HCC 58: Major Depressive, Bipolar, and Paranoid       HCC 125: Dementia, Severe.
                                         Disorders.                                                    HCC 126: Dementia, Moderate.
                                         HCC 84: Cardio-Respiratory Failure and Shock.         HCC 127: Dementia, Mild or Unspecified.
                                         HCC 85: Congestive Heart Failure.                     HCC 155: Major Depression, Moderate or
                                                                                                       Severe, without Psychosis.
                                         HCC 86: Acute Myocardial Infarction.                  HCC 199: Parkinson and Other Degenerative
                                                                                                       Disease of Basal Ganglia.
                                         HCC 96: Specified Heart Arrhythmias.                  HCC 213: Cardio-Respiratory Failure and
                                                                                                       Shock.
                                         HCC 103: Hemiplegia/Hemiparesis.                      HCC 224: Acute on Chronic Heart Failure.
                                         HCC 111: Chronic Obstructive Pulmonary Disease.       HCC 226: Heart Failure, Except End-Stage
                                         HCC 112: Fibrosis of Lung and Other Chronic Lung      and Acute.
                                         Disorders.                                                    HCC 228: Acute Myocardial Infarction.
                                                                                                       HCC 229: Unstable Angina and Other Acute
                                                                                                       Ischemic Heart Disease.
                                         HCC 134: Dialysis Status.                             HCC 238: Specified Heart Arrhythmias.
                                        ............................................................   HCC 249: Ischemic or Unspecified Stroke.
                                        ............................................................   HCC 253: Hemiplegia/Hemiparesis.
                                        ............................................................   HCC 263: Atherosclerosis of Arteries of
                                                                                                       the Extremities with Ulceration or Gangrene.
                                        ............................................................   HCC 280: Chronic Obstructive Pulmonary
                                                                                                       Disease, Interstitial Lung Disorders, and Other
                                                                                                       Chronic Lung Disorders.
                                        ............................................................   HCC 298: Severe Diabetic Eye Disease,
                                                                                                       Retinal Vein Occlusion, and Vitreous Hemorrhage.
                                        ............................................................   HCC 326: Chronic Kidney Disease, Stage 5.
                                        ............................................................   HCC 327: Chronic Kidney Disease, Severe
                                                                                                       (Stage 4).
                                        ............................................................   HCC 383: Chronic Ulcer of Skin, Except
                                                                                                       Pressure, Not Specified as Through to Bone or
                                                                                                       Muscle.
                                        ............................................................   HCC 409: Amputation Status, Lower Limb/
                                                                                                       Amputation Complications.
LEJR..................................   HCC 8: Metastatic Cancer and Acute Leukemia.          HCC 17: Cancer Metastatic to Lung, Liver,
                                         HCC 18: Diabetes with Chronic Complications.          Brain, and Other Organs; Acute Myeloid Leukemia
                                                                                                       Except Promyelocytic.
                                         HCC 22: Morbid Obesity.                               HCC 36: Diabetes with Severe Acute
                                                                                                       Complications.
                                         HCC 58: Major Depressive, Bipolar, and Paranoid       HCC 37: Diabetes with Chronic
                                         Disorders.                                                    Complications.
                                                                                                       HCC 48: Morbid Obesity.
                                         HCC 78: Parkinson's and Huntington's Diseases.        HCC 125: Dementia, Severe.
                                         HCC 85: Congestive Heart Failure.                     HCC 126: Dementia, Moderate.
                                         HCC 86: Acute Myocardial Infarction.                  HCC 127: Dementia, Mild or Unspecified.
                                         HCC 103: Hemiplegia/Hemiparesis.                      HCC 151: Schizophrenia.
                                         HCC 111: Chronic Obstructive Pulmonary Disease.       HCC 155: Major Depression, Moderate or
                                         HCC 112: Fibrosis of Lung and Other Chronic Lung      Severe, without Psychosis.
                                         Disorders.                                                    HCC 199: Parkinson and Other Degenerative
                                                                                                       Disease of Basal Ganglia.
                                                                                                       HCC 224: Acute on Chronic Heart Failure.
                                         HCC 134: Dialysis Status.                             HCC 225: Acute Heart Failure (Excludes
                                         HCC 170: Hip Fracture/Dislocation.                    Acute on Chronic).
                                                                                                       HCC 226: Heart Failure, Except End-Stage
                                                                                                       and Acute.
                                        ............................................................   HCC 238: Specified Heart Arrhythmias.
                                        ............................................................   HCC 253: Hemiplegia/Hemiparesis.
                                        ............................................................   HCC 267: Deep Vein Thrombosis and
                                                                                                       Pulmonary Embolism.
                                        ............................................................   HCC 280: Chronic Obstructive Pulmonary
                                                                                                       Disease, Interstitial Lung Disorders, and Other
                                                                                                       Chronic Lung Disorders.
                                        ............................................................   HCC 326: Chronic Kidney Disease, Stage 5.
                                        ............................................................   HCC 327: Chronic Kidney Disease, Severe
                                                                                                       (Stage 4).
                                        ............................................................   HCC 383: Chronic Ulcer of Skin, Except
                                                                                                       Pressure, Not Specified as Through to Bone or
                                                                                                       Muscle.
                                        ............................................................   HCC402: Hip Fracture/Dislocation.
Major Bowel Procedure.................   HCC 11: Colorectal, Bladder, and Other Cancers.       HCC 17: Cancer Metastatic to Lung, Liver,
                                         HCC 18: Diabetes with Chronic Complications.          Brain, and Other Organs; Acute Myeloid Leukemia
                                                                                                       Except Promyelocytic.
                                         HCC 21: Protein-Calorie Malnutrition.                 HCC 22: Bladder, Colorectal, and Other
                                                                                                       Cancers.
                                         HCC 33: Intestinal Obstruction/Perforation.           HCC 37: Diabetes with Chronic
                                                                                                       Complications.
                                         HCC 82: Respirator Dependence/Tracheostomy Status.    HCC 48: Morbid Obesity.
                                         HCC 85: Congestive Heart Failure.                     HCC 78: Intestinal Obstruction/
                                                                                                       Perforation.
                                         HCC 86: Acute Myocardial Infarction.                  HCC 125: Dementia, Severe.
                                         HCC 103: Hemiplegia/Hemiparesis.                      HCC 126: Dementia, Moderate.
                                         HCC 111: Chronic Obstructive Pulmonary Disease.       HCC 127: Dementia, Mild or Unspecified.
                                         HCC 112: Fibrosis of Lung and Other Chronic Lung      HCC 151: Schizophrenia.
                                         Disorders.                                                    HCC 155: Major Depression, Moderate or
                                                                                                       Severe, without Psychosis.
                                         HCC 134: Dialysis Status.                             HCC 199: Parkinson and Other Degenerative
                                                                                                       Disease of Basal Ganglia.
                                         HCC 188: Artificial Openings for Feeding or           HCC 201: Seizure Disorders and
                                         Elimination.                                                  Convulsions.
                                        ............................................................   HCC 211: Respirator Dependence/
                                                                                                       Tracheostomy Status/Complications.
                                        ............................................................   HCC 213: Cardio-Respiratory Failure and
                                                                                                       Shock.
                                        ............................................................   HCC 224: Acute on Chronic Heart Failure.
                                        ............................................................   HCC 226: Heart Failure, Except End-Stage
                                                                                                       and Acute.
                                        ............................................................   HCC 238: Specified Heart Arrhythmias.
                                        ............................................................   HCC 253: Hemiplegia/Hemiparesis.
                                        ............................................................   HCC 267: Deep Vein Thrombosis and
                                                                                                       Pulmonary Embolism.
                                        ............................................................   HCC 280: Chronic Obstructive Pulmonary
                                                                                                       Disease, Interstitial Lung Disorders, and Other
                                                                                                       Chronic Lung Disorders.
                                        ............................................................   HCC 326: Chronic Kidney Disease, Stage 5.
                                        ............................................................   HCC 327: Chronic Kidney Disease, Severe
                                                                                                       (Stage 4).
                                        ............................................................   HCC 383: Chronic Ulcer of Skin, Except
                                                                                                       Pressure, Not Specified as Through to Bone or
                                                                                                       Muscle.

[[Page 18396]]

 
                                        ............................................................   HCC 463: Artificial Openings for Feeding
                                                                                                       or Elimination.
SHFFT.................................   HCC 18: Diabetes with Chronic Complications.          HCC 36: Diabetes with Severe Acute
                                                                                                       Complications.
                                         HCC 22: Morbid Obesity.                               HCC 37: Diabetes with Chronic
                                                                                                       Complications.
                                         HCC 82: Respirator Dependence/Tracheostomy Status.    HCC 38: Diabetes with Glycemic,
                                                                                                       Unspecified, or No Complications.
                                         HCC 83: Respiratory Arrest.                           HCC 48: Morbid Obesity.
                                         HCC 84: Cardio-Respiratory Failure and Shock.         HCC 63: Chronic Liver Failure/End-Stage
                                                                                                       Liver Disorders.
                                         HCC 85: Congestive Heart Failure.                     HCC 93: Rheumatoid Arthritis and Other
                                         HCC 86: Acute Myocardial Infarction.                  Specified Inflammatory Rheumatic Disorders.
                                         HCC 96: Specified Heart Arrhythmias.                  HCC 109: Acquired Hemolytic, Aplastic,
                                                                                                       and Sideroblastic Anemias.
                                         HCC 103: Hemiplegia/Hemiparesis.                      HCC 125: Dementia, Severe.
                                         HCC 111: Chronic Obstructive Pulmonary Disease.       HCC 126: Dementia, Moderate.
                                         HCC 112: Fibrosis of Lung and Other Chronic Lung      HCC 127: Dementia, Mild or Unspecified.
                                         Disorders.                                                    HCC 180: Quadriplegia.
                                         HCC 134: Dialysis Status.                             HCC 181: Paraplegia.
                                         HCC 157: Pressure Ulcer of Skin with Necrosis         HCC 191: Quadriplegic Cerebral Palsy.
                                         Through to Muscle, Tendon, or Bone.                           HCC 198: Multiple Sclerosis.
                                         HCC 158: Pressure Ulcer of Skin with Full Thickness   HCC 199: Parkinson and Other Degenerative
                                         Skin Loss.                                                    Disease of Basal Ganglia.
                                         HCC 161: Chronic Ulcer of Skin, Except Pressure.      HCC 211: Respirator Dependence/
                                         HCC 170: Hip Fracture/Dislocation.                    Tracheostomy Status/Complications.
                                                                                                       HCC 213: Cardio-Respiratory Failure and
                                                                                                       Shock.
                                                                                                       HCC 226: Heart Failure, Except End-Stage
                                                                                                       and Acute.
                                        ............................................................   HCC 238: Specified Heart Arrhythmias.
                                        ............................................................   HCC 249: Ischemic or Unspecified Stroke.
                                        ............................................................   HCC 253: Hemiplegia/Hemiparesis.
                                        ............................................................   HCC 280: Chronic Obstructive Pulmonary
                                                                                                       Disease, Interstitial Lung Disorders, and Other
                                                                                                       Chronic Lung Disorders.
                                        ............................................................   HCC 326: Chronic Kidney Disease, Stage 5.
                                        ............................................................   HCC 383: Chronic Ulcer of Skin, Except
                                                                                                       Pressure, Not Specified as Through to Bone or
                                                                                                       Muscle.
                                        ............................................................   HCC 402: Hip Fracture/Dislocation.
Spinal Fusion.........................   HCC 8: Metastatic Cancer and Acute Leukemia.          HCC 17: Cancer Metastatic to Lung, Liver,
                                         HCC 18: Diabetes with Chronic Complications.          Brain, and Other Organs; Acute Myeloid Leukemia
                                         HCC 22: Morbid Obesity.                               Except Promyelocytic.
                                         HCC 40: Rheumatoid Arthritis and Inflammatory         HCC 18: Cancer Metastatic to Bone, Other
                                         Connective Tissue Disease.                                    and Unspecified Metastatic Cancer; Acute Leukemia
                                         HCC 58: Major Depressive, Bipolar, and Paranoid       Except Myeloid.
                                         Disorders.                                                    HCC 37: Diabetes with Chronic
                                         HCC 85: Congestive Heart Failure.                     Complications.
                                                                                                       HCC 48: Morbid Obesity.
                                                                                                       HCC 93: Rheumatoid Arthritis and Other
                                                                                                       Specified Inflammatory Rheumatic Disorders.
                                         HCC 86: Acute Myocardial Infarction.                  HCC 125: Dementia, Severe.
                                         HCC 96: Specified Heart Arrhythmias.                  HCC 126: Dementia, Moderate.
                                         HCC 103: Hemiplegia/Hemiparesis.                      HCC 127: Dementia, Mild or Unspecified.
                                         HCC 111: Chronic Obstructive Pulmonary Disease.       HCC 155: Major Depression, Moderate or
                                         HCC 112: Fibrosis of Lung and Other Chronic Lung      Severe, without Psychosis.
                                         Disorders.                                                    HCC 180: Quadriplegia.
                                         HCC 134: Dialysis Status.                             HCC 181: Paraplegia.
                                                                                                       HCC 182: Spinal Cord Disorders/Injuries.
                                        ............................................................   HCC 192: Cerebral Palsy, Except
                                                                                                       Quadriplegic.
                                        ............................................................   HCC 193: Chronic Inflammatory
                                                                                                       Demyelinating Polyneuritis and Multifocal Motor
                                                                                                       Neuropathy.
                                        ............................................................   HCC 199: Parkinson and Other Degenerative
                                                                                                       Disease of Basal Ganglia.
                                        ............................................................   HCC 224: Acute on Chronic Heart Failure.
                                        ............................................................   HCC 226: Heart Failure, Except End-Stage
                                                                                                       and Acute.
                                        ............................................................   HCC 238: Specified Heart Arrhythmias.
                                        ............................................................   HCC 249: Ischemic or Unspecified Stroke.
                                        ............................................................   HCC 253: Hemiplegia/Hemiparesis.
                                        ............................................................   HCC 254: Monoplegia, Other Paralytic
                                                                                                       Syndromes.
                                        ............................................................   HCC 267: Deep Vein Thrombosis and
                                                                                                       Pulmonary Embolism.
                                        ............................................................   HCC 326: Chronic Kidney Disease, Stage 5.
                                        ............................................................   HCC 383: Chronic Ulcer of Skin, Except
                                                                                                       Pressure, Not Specified as Through to Bone or
                                                                                                       Muscle.
                                        ............................................................   HCC 401: Vertebral Fractures without
                                                                                                       Spinal Cord Injury.
--------------------------------------------------------------------------------------------------------------------------------------------------------

    We recognize that our proposed list of episode category specific 
HCCs is greater in number compared to what we finalized in the FY 2025 
IPPS/LTCH PPS final rule. There are approximately 25 risk adjusters per 
episode category, inclusive of non-HCC risk adjusters, that were 
finalized in the FY 2025 IPPS/LTCH PPS final rule as compared to the 
approximately 30 risk adjusters that would result from incorporating 
the proposed v28 HCCs. We believe this increase in HCCs is comparable 
given the HCC volume increased from v28 to v22. We also believe that 
the proposed list of episode category specific HCCs maintains our goal 
of a simplified risk adjustment methodology that aims to capture 
spending accurately, while aligning with the most recent HCC version.
    We note that there are other episode category specific risk 
adjusters that were finalized in the FY 2025 IPPS/LTCH PPS final rule 
which are not HCCs. We are not proposing to replace the non-HCC episode 
category specific risk adjusters. Nor are we proposing to replace the 
beneficiary level risk adjusters applicable to all episode categories, 
such as HCC count and age bracket, or the provider-level risk 
adjusters, such as hospital bed size and safety net status. All of 
these risk adjusters were included in the Lasso regression analysis and 
clinical review and deemed appropriate for continued use in TEAM's risk 
adjustment methodology. However, we are proposing to update the social 
need risk adjustment factor, as described in section XI.A.2.c.(6). of 
the preamble of this proposed rule.
    We seek comment on our proposal at Sec.  512.545(a)(6)(i) through 
(v) to use HCC

[[Page 18397]]

v28 to construct our episode category specific HCC risk adjusters.
(8) Low Volume Hospitals
    In both CJR and BPCI Advanced, we recognized that hospitals that 
perform a number of episodes below a certain volume threshold may have 
challenges taking on two-sided financial risk. As noted in the Episode-
Based Payment Model Request for Information (88 FR 45872), episode 
volume is an important feature in an episode-based payment model 
because episode categories with sufficient volume help to reduce 
pricing volatility and spread financial risk. In the 2015 CJR final 
rule (80 FR 73285), we acknowledged that such hospitals might not find 
it in their financial interests to make systemic care redesigns or 
engage in an active way with the CJR model. At 80 FR 73292, we 
acknowledged commenter concerns about low volume providers, including 
but not limited to observations that low volume providers could be: 
less proficient in taking care of LEJR patients in an efficient and 
cost-effective manner, more financially vulnerable with fewer resources 
to respond to the financial incentives of the model, and 
disproportionately impacted by high-cost outlier cases. In spite of 
these potential challenges, we stated that the inclusion of low volume 
hospitals in CJR was consistent with the goal of evaluating the impact 
of bundled payment and care redesign across a broad spectrum of 
hospitals with varying levels of infrastructure, care redesign 
experience, market position, and other considerations and circumstances 
(80 FR 73292).
    In CJR, we set the low volume threshold as fewer than 20 CJR 
episodes across the 3-year baseline years of 2012 through 2014. Low 
volume hospitals received target prices based on 100 percent regional 
data, rather than a blended target price that incorporated their 
participant-specific data, because a target price based on limited data 
is less likely to be accurate and reliable. These hospitals were also 
subject to the lower stop-loss limits that we offered to rural 
hospitals, in recognition of the fact that they might be less prepared 
to take on downside risk than hospitals with higher episode volume. In 
the CJR 2017 final rule that reduced the number of mandatory MSAs, low 
volume hospitals were among the types of hospitals that were required 
to opt in if they wanted to remain in the model (82 FR 57072). In the 
CJR 2020 final rule, we removed the remaining low volume hospitals from 
the CJR extension when we limited the CJR participant hospital 
definition to those hospitals that had been mandatory participants 
throughout the model (86 FR 23497).
    In BPCI Advanced, our low volume threshold policy was to not 
provide a target price for a given clinical episode category if 
performed at a hospital that did not meet the 41 clinical episode 
minimum volume threshold during the 4-year baseline period. This meant 
that no BPCI Advanced episodes would be triggered for that particular 
clinical episode category during the applicable performance period at 
that hospital. However, participants could continue to trigger other 
clinical episode categories for which they had enrolled and for which 
there was sufficient baseline volume. Additionally, clinical episodes 
that occurred at the hospital during the performance period, though not 
triggering a BPCI Advanced episode, would count toward the low volume 
threshold when that year became part of a subsequent baseline period. 
Therefore, as the baseline shifted forward each year, bringing a more 
recent year into the baseline and dropping the oldest year, a hospital 
could potentially meet the volume threshold and receive a target price 
for the clinical episode category for a subsequent performance period.
    Last year, in the FY 2025 IPPS/LTCH PPS proposed rule (89 FR 35934) 
that established TEAM, we proposed that TEAM would include a low volume 
threshold. We proposed that if a TEAM Participant did not meet the 
proposed low volume threshold of at least 31 total episodes across all 
episode categories in the baseline period for PY1, CMS would still 
reconcile their episodes, but the TEAM participant would be subject to 
the Track 1 stop-loss and stop-gain limits for PY1. If a TEAM 
Participant did not meet the proposed low volume threshold of at least 
31 total episodes in the applicable 3-year baseline periods for PYs 2 
through 5, the TEAM Participant would be subject to the Track 2 stop-
loss and stop-gain limits for PY 2 through 5. However, after many 
comments that this policy was insufficient for low volume hospitals, in 
the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986), we determined we 
would not finalize a policy for low volume hospitals and instead would 
propose a new policy in future notice and comment rulemaking.
    In this rulemaking, rather than offering a specific proposal, we 
are proposing to maintain our current policy of having no low volume 
episode policy, given that Track 1 of the model has no downside risk 
and we expect most TEAM participants to select Track 1 for the first 
performance year. Rather, we are seeking comment on several potential 
policies to address prior commenters' concerns about low volume 
providers participating in TEAM.
    First, we are considering, but not proposing, that a low volume 
threshold would apply to specific episode categories in the baseline 
period for a given PY, similar to BPCI Advanced. If a TEAM participant 
did not meet the considered low volume threshold of at least 31 
episodes in a given baseline period for a given episode category, CMS 
would still reconcile their episodes, but the TEAM participant would 
not be held accountable for any performance year episode spending that 
exceeded the reconciliation target price for each of the MS-DRG/HCPCS 
episode types in that given episode category during the applicable 
performance year. This policy would effectively waive downside 
financial risk for the TEAM participant for episode categories in which 
they did not meet the considered low volume threshold. For example, in 
PY1, if a TEAM participant only initiated 30 episodes in the baseline 
period for the major bowel procedure episode category, and initiated 31 
or more episodes in the baseline period for each of the other episode 
categories tested in TEAM, then the TEAM participant would not be held 
accountable for performance year episode spending that exceeded the 
reconciliation target price for the major bowel procedure episode 
category but would be accountable for performance year episode spending 
that exceeded the reconciliation target price for all the other episode 
categories for PY1. We note that the baseline period for a given 
performance year in TEAM rolls forward each year. Therefore, it is 
possible for a TEAM participant to not meet the low volume threshold 
for a given episode category in one performance year and then meet the 
low volume threshold the next performance year because the baseline 
period rolled forward and captured a different volume of baseline 
period episodes. We do not anticipate there would be a significant 
number of hospitals meeting the threshold one performance year and not 
the next (and vice versa), because procedure volumes tend to remain 
consistent across performance years.
    This considered policy may addresses commenters' concerns, by 
placing the low volume threshold at the episode category level rather 
than across all episode categories and acknowledge commenters' concerns 
regarding the level of financial risk that is tolerable for low volume 
hospitals, especially hospitals that are safety net hospitals or rural 
hospitals. TEAM participants with

[[Page 18398]]

low volume may not have enough episode volume to spread the risk or 
create efficient care pathways sufficient for downside risk. Further, 
and as compared to the BPCI Advanced model, this considered policy 
would allow TEAM participants to still initiate episodes and earn a 
reconciliation payment amount if they can reduce spending and provide 
quality care. However, we are concerned that waiving downside risk for 
low volume hospitals may affect potential TEAM savings for CMS. 
Additionally, the 31-episode category threshold may not be the optimal 
threshold to ensure a low volume policy adequately addresses the 
concerns of TEAM participants and stakeholders affected by a potential 
low volume policy. A 31-episode is a similar approach to capturing the 
per baseline year threshold in BPCI Advanced, but this threshold could 
theoretically be too low to capture all TEAM participant hardship 
caused by episode volatility. It could also be too high and exclude too 
many episodes from the model and thus deprive TEAM participants an 
opportunity to enhance patient quality of care or provider efficiency 
and earn associated reconciliation payments.
    We also considered, but are not proposing, different low volume 
thresholds for the above considered policy in the baseline period for a 
given episode category, including 91, 61, 51, 41, 21, and 11 episodes. 
In an internal analysis of hospitals that were potentially eligible for 
TEAM using claims data from calendar year 2023, we found that 30 
percent of acute care hospital (ACH)-clinical episode category (CEC) 
combinations had 10 or fewer episodes and were not flagged as a low 
volume hospital using the baseline period methodology of fewer than 31 
episodes in a given CEC. Presumably, these could be seen as false 
negative results for low volume status or indications that the fewer 
than 31-episode threshold was set too high. Among these ACH-CEC 
combinations, the average episode count was seven. Additionally, 14 
percent of these ACH-CEC combinations had five episodes or fewer. It 
could be the case that the 31 or fewer episode threshold could include 
hospitals that are not truly so low volume as to justify waiving 
downside risk. Alternatively, hospitals may just barely cross the 31 or 
fewer episode threshold and thus be subject to downside risk and may 
still be fundamentally similar to identified low volume TEAM 
participants experiencing hardship from the natural volatility involved 
in having fewer qualifying episodes. Though this is true of any 
threshold, the likelihood of this increases at lower thresholds than 
larger thresholds. Therefore, we are considering alternative thresholds 
such as fewer than 91 episodes (approximately 3 times the fewer than 31 
episode threshold), fewer than 61 episodes (approximately 2 times the 
fewer than 31 episode threshold), fewer than 51 episodes (the fewer 
than 31 episode threshold plus 3 times the average count of episodes 
for ACH-CEC combinations in our mock reconciliation not cited as low 
volume), fewer than 41 episodes (the fewer than 31 episode threshold 
plus one-third the threshold), fewer than 21 episodes (3 times the 
average count of episodes for ACH-CEC combinations in our mock 
reconciliation not cited as low volume), and fewer than 11 episodes (a 
threshold that should only flag ACH-CEC combinations at the lowest 
threshold found in our analysis).
    We considered, but are not proposing, limiting the scope of a 
potential low volume policy to safety net and rural hospitals only, 
since these hospital types are more likely to initiate lower volumes of 
episodes. However, we are concerned that this restriction would 
unfairly hinder other low-volume providers (which are not safety net or 
rural) from gaining efficiency in care coordination, since they would 
still bear the same financial risk as higher volume hospitals. In an 
internal analysis, approximately 343 acute care hospitals are not 
designated as safety net hospitals or rural hospitals. Of these 
hospitals, approximately 109 acute care hospitals would have at least 
one episode category that had fewer than 31 episodes in the baseline 
period and would meet the definition of low volume if safety net 
hospital status or rural hospital status was not required for a low 
volume qualification. Excluding non-safety net hospitals and non-rural 
hospitals from a low volume status could unfairly hinder nearly one-
third of non-safety net hospitals or non-rural hospitals.
    We also considered, but are not proposing, including alternative 
approaches to a low episode volume threshold in TEAM, including an 
approach similar to BPCI Advanced, where if a TEAM participant did not 
meet the 31 episode low volume threshold for a given episode category 
in the baseline period, the TEAM participant would not be held 
accountable for that episode category for the performance year that 
aligned with the baseline period. In other words, they would not be 
eligible to initiate episodes in that episode category during the 
performance year and would be not eligible to earn any reconciliation 
payment amount or repayment amount for that given episode category 
during the performance year. However, we are concerned that imposing a 
minimum volume threshold that removes TEAM participant accountability 
may restrict the number of hospitals eligible to participate in TEAM 
and limit beneficiary access to the benefits of value-based, 
coordinated care.
    We also considered allowing low-volume episode types to be subject 
to a stop-loss/stop-gain limit of 5 percent, similar to Track 2, or a 
lower stop-loss/stop-gain limit of 3 percent, 2 percent, and 1 percent, 
such that TEAM participants are subject to a lower level of financial 
risk and gain, but still held accountable for the care provided under 
these episode categories. Under this approach, after creating the 
quality-adjusted reconciliation amount based on the TEAM participant's 
track selection, CMS would calculate the proportion of the quality-
adjusted reconciliation amount that each episode category contributes 
to based on the PY episode weight. For example, Table XI.A.-012 
demonstrates a TEAM participant, assuming Track 3 participation, 
meeting the low-volume threshold for the LEJR episode category but not 
for the SHFFT episode category.

                     Table XI.A.-012--Example Low-Volume Threshold at Episode Category Level
----------------------------------------------------------------------------------------------------------------
                                                                                                Episode-level
                                   Meets low-     Performance year      Quality-adjusted      quality adjusted
        Episode category             volume      (PY) episode count      reconciliation        reconciliation
                                    threshold                                amount                amount
----------------------------------------------------------------------------------------------------------------
LEJR............................            Y                     15               $50,000            $16,666.67
SHFFT...........................            N                     30  ....................             33,333.33
----------------------------------------------------------------------------------------------------------------


[[Page 18399]]

    Table XI.A.-013 continues the example by showing the stop-loss/
stop-gain cap would then be applied to each episode category where the 
low-volume episode-type is subject to a 5 percent stop-loss/stop-gain 
cap while any other non-low volume episode types are subject to the 
stop-loss/stop-gain cap based on the TEAM participant's Track 3 
selection.

                              Table XI.A.-13--Example Low-Volume Threshold Application Affecting Stop-Loss/Stop-Gain Limits
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                                                 Volume
                                                               Episode-level                    weighted      Stop-loss/
                                   Meets low-    Stop-loss/   quality adjusted     Target     target amount   stop-gain    Episode-level  Hospital-level
        Episode category             volume      stop-gain     reconciliation      amount    based on stop-     limit          NPRA            NPRA
                                    threshold    limit (%)         amount                      loss/ stop-     applied
                                                                                               gain limit
--------------------------------------------------------------------------------------------------------------------------------------------------------
LEJR............................            Y             5         $16,666.67     $100,000          $5,000            Y          $5,000      $38,333.33
SHFFT...........................            N            20          33,333.33      200,000          40,000            N       33,333.33
--------------------------------------------------------------------------------------------------------------------------------------------------------

    However, as demonstrated by Tables XI.A.-12 and XI.A.-13, we are 
concerned that this approach adds complexity to the reconciliation 
calculations by adding additional steps. Further, we are also concerned 
that lower stop-loss/stop-gain limits would still not sufficiently 
protect low-volume episode TEAM participants from undue financial risk 
in the model.
    We also considered implementing low episode volume thresholds 
during the performance year. Specifically, we considered not holding 
TEAM participants accountable for a given episode category if they 
initiated less than 11 or 6 episodes in a given episode category or 
less than 31 or 21 total episodes across episode categories in a 
performance year. However, we are concerned that including minimum 
episode volume thresholds during the performance year may introduce 
program integrity issues.
    We seek comment on our considered policies. We also seek comment on 
low volume policy alternatives we have not considered.
(9) Aligning Date Range in the Baseline and Performance Years and 
Timing of Reconciliation
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986) that 
established TEAM, we finalized the policy that we would calculate 
preliminary target prices using a 3-year rolling baseline period as 
described in Sec.  512.540(b)(2). For example, for PY 1, covering the 
period from January 1, 2026, to December 31, 2026, we would use a 
baseline period from January 1, 2022, to December 31, 2024. We noted 
that we would attribute episodes to the baseline period based on the 
episode start date. An episode with an anchor hospitalization beginning 
in December 2022 and an anchor hospitalization discharge date in 
January 2023 would have an episode start date in 2022 and would be 
included in the baseline for PY 1 but not for PY 2, for which the 
baseline period is January 1, 2023, to December 31, 2025.
    However, as indicated in Sec.  512.540(a)(3), we finalized our 
proposal to attribute episodes to performance years based on the date 
of discharge from the anchor hospitalization or the date of the anchor 
procedure for the purpose of assigning target prices. We further 
clarified this approach in section X.A.3.d.(3).(d) of the FY 2025 IPPS/
LTCH PPS final rule and gave the following example: If an episode has 
an anchor hospitalization or anchor procedure end date in December 2026 
but an episode end date in January 2027, the episode is assigned to PY 
1 and will have the PY 1 target price applied to it. However, if the 
episode starts in 2026 but both the anchor hospitalization discharge 
and episode end dates are in 2027, the episode is assigned to PY 2 and 
will have the PY 2 target price applied to it.
    To better align our episode attribution and pricing methodologies 
across the baseline and performance periods, we are proposing to modify 
our approach to attribution of episodes to baseline years for the 
purposes of calculating preliminary target prices. Specifically, we 
propose to adopt the same approach that we finalized for attribution of 
performance year episodes, as described previously. Therefore, we are 
proposing that an episode with an anchor hospitalization beginning in a 
given baseline year and an anchor hospitalization discharge date in the 
subsequent baseline year would be attributed to the baseline year when 
the anchor hospitalization discharge date occurred. For example, an 
episode with an anchor hospitalization beginning in December 2022 with 
an anchor hospitalization discharge date in January 2023 would be 
included in the baseline for both PY 1 (as baseline year 2 of a 
baseline period from January 1, 2022, to December 31, 2024) and PY 2 
(as baseline year 1 of a baseline period from January 1, 2023, to 
December 31, 2025). This modification does not make any change to the 
methodology for attribution of episodes to the performance year. We 
believe this approach simplifies the construction of baseline and 
performance year episodes and maintains consistent application of 
episode assignment between baseline and performance years.
    We also indicated in FY 2025 IPPS/LTCH PPS final rule (89 FR 68986) 
that for episodes that begin in one performance year and end in a 
subsequent performance year we would reconcile episodes based on the 
episode end date. However, we recognize that reconciling an episode 
based on the episode's end date may unnecessarily increase operational 
burden when trying to manage when an episode would be reconciled, 
especially when comparing the target price to the performance year. For 
example, if an episode starts in one performance year and ends in a 
subsequent performance year, then a TEAM participant would have to wait 
an additional year before that episode would be reconciled even though 
its target price was aligned with the performance year of the anchor 
hospitalization discharge date. Table XI.A.-14 demonstrates how 
episodes starting in a one performance year and ending in a subsequent 
performance year are reconciled.

[[Page 18400]]



             Table XI.A.-14--Example of When Episodes Would Be Reconciled Based on Episode End Date
----------------------------------------------------------------------------------------------------------------
                                      Anchor
    Anchor hospitalization/      hospitalization/                       Performance year    Reconciliation time
     procedure start date            procedure       Episode end date   (PY) for target           period
                                  discharge date                             price
----------------------------------------------------------------------------------------------------------------
November 1, 2026..............  November 15, 2026.  December 15, 2026  PY 1.............  Fall 2027.
November 1, 2026..............  December 15, 2026.  January 15, 2027.  PY 1.............  Fall 2028.
January 5, 2027...............  January 10, 2027..  February 10, 2027  PY 2.............  Fall 2028.
----------------------------------------------------------------------------------------------------------------

    Therefore, we propose to reconcile an episode based on the 
episode's anchor hospitalization or anchor procedure discharge date. We 
believe this approach would simplify tracking episodes and their 
reconciliation timing for TEAM participants. Additionally, it would 
keep all episodes aligned to a given performance year based on target 
price construction to the same reconciliation time period. Table XI.A.-
15 demonstrates the proposed approach to reconciling episodes based on 
anchor hospitalization or anchor procedure discharge date.

  Table XI.A.-15--Example of When Episodes Would Be Reconciled Based on Anchor Hospitalization/Anchor Procedure
                                                 Discharge Date
----------------------------------------------------------------------------------------------------------------
                                        Anchor
    Anchor  hospitalization/       hospitalization/                        Performance year     Reconciliation
      procedure start date       procedure discharge   Episode end date     (PY) for target       time period
                                         date                                    price
----------------------------------------------------------------------------------------------------------------
November 1, 2026...............  November 15, 2026..  December 15, 2026.  PY 1..............  Fall 2027.
November 1, 2026...............  December 15, 2026..  January 15, 2027..  PY 1..............  Fall 2027.
January 5, 2027................  January 10, 2027...  February 10, 2027.  PY 2..............  Fall 2028.
----------------------------------------------------------------------------------------------------------------

    We seek comment on our proposal at proposed Sec.  512.540(b)(2)(i) 
through (v) to construct baseline year episodes based on the anchor 
hospitalization or anchor procedure discharge date. We also seek 
comment on our proposal at proposed Sec.  512.540(a)(3) to reconcile 
episodes based on anchor hospitalization or anchor procedure discharge 
date.
(10) Converting Standardized Dollars to Real Dollars
(a) Converting Target Prices and Reconciliation Amounts to Real Dollars
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986) that 
established TEAM, we finalized the methodology for constructing 
regional target prices and, ultimately, determining performance year 
spending and reconciliation amounts. Spending and reconciliation 
amounts are based on Medicare allowed amounts (also referred to as 
``allowed amounts''), which include the amount Medicare reimburses 
providers as well as any beneficiary liability (that is, beneficiary 
deductibles and coinsurance) and payment from other payers. 
Specifically, we finalized an approach for using standardized dollar 
amounts (as also referred to as ``standardized dollars'') as opposed to 
the actual, nominal dollar amounts reflected on claims (also referred 
to as ``real dollars'') in the calculation of performance year spending 
and reconciliation amounts. Standardization of Medicare allowed amounts 
removes adjustments to payment amounts including but not limited to 
those from Medicare incentive programs (for example, the HVBP Program, 
the HAC Reduction Program, and the HIQR Program) and geographic or 
policy-driven payment system adjustments, such as hospital wage index 
or indirect medical education adjustments, from TEAM's target prices. 
Standardization of allowed amounts allows for meaningful comparison of 
resource use for services covered by CMS across provider types and 
geographic areas. When comparing standardized allowed amounts, cost 
differences primarily result from differences in practice patterns and 
health care delivery choices (for example, about the setting, provider 
type, or number of services provided). Not standardizing allowed 
amounts by removing adjustments and incentive payments would unduly 
penalize hospitals receiving additional payments for compliance and 
undermine the incentives of CMS reporting or quality programs. Without 
payment standardization, high-quality or reporting compliant hospitals 
may appear to have high episode payments under TEAM. Conversely, lower 
quality or non-reporting compliant hospitals that incur payment 
reduction penalties may appear to have low episode payments under TEAM. 
Additionally, removal of geographic adjustments is important given 
variation in episode payments across hospitals resulting from wage 
index adjustments. We want to avoid having the wage level or other 
adjustments for one hospital arbitrarily influence target prices for 
another hospital with a different wage level or adjustments, as this 
would introduce unintended pricing distortions not based on utilization 
pattern differences. Thus, we believe it is important to use 
standardized allowed amounts as the foundation for constructing target 
prices and determining performance year spending and reconciliation 
amounts (reconciliation payment amounts or repayment amounts) to ensure 
a TEAM participant's actual performance is not artificially improved or 
worsened because of adjustments or incentive payments.
    However, we acknowledge that when target prices and reconciliation 
amounts are denominated in standardized dollars, they may not reflect 
relative differences in costs faced by TEAM participants. We expect 
that TEAM participants will use their reconciliation payment amounts to 
invest in care redesign, coordination, and delivery infrastructure, and 
we expect that the costs for such investments would vary by geography 
and by the type of hospital, such as due to differences in local wages 
or whether the hospital is a teaching hospital. For example, we expect 
that hiring a care coordinator would cost a TEAM participant more in 
San Francisco than in a rural part of Idaho. Therefore, we considered 
approaches to converting standardized target prices and reconciliation 
amounts back to real dollars as other CMMI models have done. For 
example, the BPCI Advanced model converted back

[[Page 18401]]

to real dollars using a ratio of the sum of real clinical episode 
spending to standardized allowed amount spending at the episode 
initiator-clinical episode category level. In another approach, the CJR 
model used a wage factor derived from the IPPS wage index (aligned with 
the fiscal year and based on the episode start date) to account for 
differences in real costs between model participants.
    We believe that all these approaches have limitations that may 
unduly negatively impact TEAM participants. For example, if we used an 
approach similar to the BPCI Advanced model, TEAM participants that 
receive add-on payments unrelated to the direct costs associated with 
providing services (for example, low-volume volume payment adjustment 
payments and indirect medical payment adjustments) would have a higher 
real-to-standardized ratio than comparable participants that do not 
receive these payments. In the case where such a TEAM participant has a 
negative reconciliation amount (that is, owes a repayment amount to 
CMS), converting the reconciliation amount to real dollars would 
increase this repayment amount. We are worried that such an increase 
may unduly burden TEAM participants with already limited resources. 
Furthermore, specific approaches have unique limitations. For example, 
we believe the approach used in the CJR model of converting standard 
dollars back to real dollars using a wage factor ignores two key 
considerations. First, there may be significant differences in relative 
wages between the IPPS setting in which the episode is triggered and 
other claims settings in the post-discharge period. Therefore, applying 
the IPPS-derived wage factor to the entire episode (that is, all claims 
grouped to it, including those in the post-discharge period) may not 
accurately reflect differences in real costs across participants and 
settings of care. Second, using only the wage factor fails to take into 
account non-wage differences in Medicare payment amounts such as 
outlier payments and provider-specific adjustments from other Medicare 
initiatives.
    Given all of these considerations, we are not proposing any 
methodology for converting standardized target prices and 
reconciliation amounts to real dollars at this time. Instead, we are 
keeping target prices and reconciliation amounts in standardized 
dollars, while requesting comment on whether we should convert to real 
dollars and the preferred methodology for doing so, including but not 
limited to all the approaches discussed herein.
(b) Converting Post-Episode Spending Amounts to Real Dollars
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986) that 
established TEAM, we noted that some hospitals may have an incentive to 
withhold or delay medically necessary care until after an episode ends 
to reduce their actual episode payments. In order to identify and 
address such inappropriate shifting of care, we finalized a post-
episode spending calculation methodology. In this approach, we would 
identify whether the average 30-day post-episode spending for a TEAM 
participant in any given performance year is greater than 3 standard 
deviations above the regional average 30-day post-episode spending, 
based on the 30-day post-episode spending for episodes attributed to 
all TEAM regional hospitals in the same region as the TEAM participant. 
We finalized that beginning with PY 1 for Track 3 TEAM participants, 
and PY 2 for Track 2 TEAM participants, if the TEAM participant's 
average post-episode spending exceeds this threshold, the amount above 
the threshold would be subtracted from the reconciliation amount or 
added to the repayment amount for that performance year.
    We recognize it is important to remain consistent across our 
calculations when converting to real dollars. Therefore, we are also 
seeking comment on whether and how to convert the post-episode spending 
amounts from standardized dollars to real dollars. Specifically, we are 
requesting comment on whether, if a TEAM participant's average post-
episode spending in the MS-DRG/HCPCS episode type exceeds the region's 
threshold in that MS-DRG/HCPCS episode type, the amount above the 
threshold should be converted from standardized to real dollars using a 
hospital-level real-to-standardized spending ratio.
    Additionally, we considered that the post-episode spending amounts 
would be determined at a MS-DRG-hospital level rather than an episode 
level like our target price and reconciliation amount consideration 
because--
     Average post-episode spending is more representative of 
consistent patterns in the delay of medically necessary services in the 
post discharge period by a hospital; and
     Hospitals do not have the same incentives to not exceed 
the expected post-episode spending that they have with in-episode 
spending. Hence, TEAM participants may be subject to higher penalties 
if the post-episode calculation is at an episode level compared to an 
aggregate hospital-level. Therefore, were we to propose to convert from 
standardized dollars to real dollars, we would propose to do so at the 
hospital level to align with the hospital-level post-episode spending 
amounts. The hospital level real-to-standardized ratios would be 
determined as the ratio of sum of total post-episode spending in real 
dollars to sum of total post-episode spending in standardized dollars 
using the set of reconciled episodes in the corresponding MS-DRG/HCPCS 
episode type.
    We seek comment on our consideration to determine post-episode 
spending amounts at the MS-DRG-hospital level rather than an episode 
level. We also seek comment on whether and how to convert target 
prices, reconciliation amounts, and post-episode spending amounts from 
standardized dollars to real dollars in a consistent manner.
d. Health Data Reporting
    As described in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69800), 
we finalized voluntary reporting of three elements that aims to address 
reducing health disparities for TEAM beneficiaries. The elements 
include health equity plans, demographic data, and health related 
social needs data. We continue to believe that it is important to 
understand and address health needs of all TEAM beneficiaries so that 
they can benefit from the care redesign interventions implemented by 
TEAM participants. However, due to the new Administration's priorities 
and concern over placing additional burdens on TEAM participants in a 
mandatory model, we recognize the need to remove the voluntary health 
equity plan and the health-related social needs data to reduce burden 
on TEAM participants. We recognize that asking TEAM participants to 
submit health equity plans or report health related social needs data, 
even on a voluntary basis, could add an additional burden that CMS does 
not intend to add in the model. Even if TEAM participants choose to not 
voluntarily submit a health equity plan or report health related social 
needs data, we believe it would be a better use of TEAM participant 
resources to focus on care redesign activities that would help improve 
their performance in the model and improve the quality of care and care 
experience for the beneficiary, rather than spend resources on 
collecting and reporting health equity plan information or health 
related social needs data. Therefore, we are proposing to completely 
remove the health equity plan and health related social needs

[[Page 18402]]

data policies from TEAM, including all references to health equity 
plans. Though currently there is no replacement for these policies, CMS 
will consider adding elements that are consistent with the new 
Administration's focus on making America healthy again. We believe 
there is opportunity through TEAM to encourage healthy habits among 
TEAM beneficiaries to drive improvements in overall health. Changes to 
TEAM that would incorporate the Administration's focus on prevention 
and healthy living would be proposed in future notice and comment 
rulemaking.
    Given our desire to remove health equity plans, we also propose to 
remove the ``Health equity reporting'' title to Sec.  512.563 and 
replace it with ``Health data reporting''. Lastly, we also propose 
removing the definition for ``Health equity goal'', ``Health equity 
plan'', ``Health equity plan intervention strategy'', ``Health equity 
plan performance measure'', and ``Underserved community'' from the 
definitions at Sec.  512.505.
    Additionally, we propose to remove the voluntary collection of 
health-related social needs screening and reporting. This includes 
removing voluntary reporting of the Screening for Social Drivers of 
Health measure, adopted at Sec.  512.563(b); and the Screen Positive 
Rate for Social Drivers of Health measure, adopted Sec.  512.563(b).
    We also continue to believe voluntarily collecting demographic data 
is important to better understand TEAM beneficiaries. Therefore, we are 
not proposing any changes to this element. We note that we did discuss 
in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69802) potential 
demographic data variables that CMS would voluntarily collect from TEAM 
participants such as race, ethnicity, language, disability, sexual 
orientation, gender identity, sex characteristics, and other 
demographics. While we have not specified the exact variables TEAM 
participants will report and will notify TEAM participants through sub-
regulatory guidance of the demographic variables we wish to collect, as 
indicated in the final rule (89 FR 69804), we can clarify that we will 
not be collecting variables such as sexual orientation, race, 
ethnicity, or gender identity to align with the Administration's 
priorities and to reduce reporting burden on TEAM participants.
    Finally, to align with the Administration's executive order to 
identify an individual's immutable biological classification as either 
male or female, we propose to update the name of a beneficiary-
identifiable data variable, that is not used for pricing or payment 
purposes, that we would share with TEAM participants, pursuant to a 
data request and executed TEAM data sharing agreement.\434\ 
Specifically, we propose the ``gender'' variable identified at Sec.  
512.562(c)(3) to be renamed ``sex''. We believe sex better represents 
the binary variable that we would be sharing with TEAM participants and 
allows for consistent interpretation of the term across Federal 
programs and initiatives.
---------------------------------------------------------------------------

    \434\ Defending Women from Gender Ideology Extremism and 
Restoring Biological Truth to the Federal Government: https://www.whitehouse.gov/presidential-actions/2025/01/defending-women-from-gender-ideology-extremism-and-restoring-biological-truth-to-the-federal-government/.
---------------------------------------------------------------------------

    We seek comment on our proposal at Sec.  512.505 to remove from the 
definitions section health equity goal, health equity plan, health 
equity plan intervention strategy, health equity plan performance 
measure, and underserved community. We seek comment on our proposal at 
Sec.  512.563 to retitle the header and remove the health equity plan 
and health related social needs data elements. We also seek comment on 
our proposal at Sec.  512.562(c)(3) to rename the ``gender'' variable 
to ``sex''.
e. Referral to Primary Care Services
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69850) we finalized 
the referral to primary care services requirement. To comply with this 
requirement, TEAM participants must (1) include in hospital discharge 
planning a referral to a supplier of primary care services for a TEAM 
beneficiary, on or prior to discharge from an anchor hospitalization or 
anchor procedure and (2) follow beneficiary freedom of choice 
requirements, as indicated in Sec.  512.582(a). Since a TEAM episode 
only lasts 30 days after the TEAM beneficiary is discharged from the 
hospital, the goal of this policy is to integrate care during the 
transition from an acute event--an episode--back to longitudinal care 
relationships, such as primary care.
    We continue to believe there is value in maintaining this 
requirement in TEAM so that the TEAM beneficiary has continuity of care 
after the episode ends. Therefore, we propose no change to the current 
policy. However, we are aware that the current policy does not take 
into consideration the TEAM beneficiary's relationship with existing 
suppliers of primary care services. In other words, the TEAM 
participant may refer the TEAM beneficiary to a supplier of primary 
care services that is different from the supplier of primary care 
services that the TEAM beneficiary has an established relationship 
with, as documented through previous encounters via claims data, as 
long as it complies with beneficiary freedom of choice requirements. As 
such, the TEAM participant may be incentivized to refer to their own 
suppliers of primary care services with whom they have a contractual 
relationship, even when complying with beneficiary freedom of choice 
requirements. While we anticipate most TEAM participants would refer 
TEAM beneficiaries back to suppliers with whom they have an existing 
relationship with, we seek comment on whether not specifically 
requiring that beneficiaries be referred back to suppliers with whom 
they have an existing relationship could disrupt fair competition as 
well as limit access to high-value care.
    We considered, but are not proposing, including in the referral to 
primary care services the requirement that TEAM participants refer the 
TEAM beneficiary back to the supplier of primary care services with 
whom they have an established relationship. As part of the alternative, 
we considered identifying an established relationship by the TEAM 
beneficiary's interaction with a supplier of primary care services 
within the 2 previous years before the initiation of the episode and 
TEAM participants would still need to comply with beneficiary freedom 
of choice requirements. However, we are concerned that this 
consideration, namely requiring the TEAM participant to refer the TEAM 
participant back to a supplier of primary care services with whom they 
have an existing relationship, would increase TEAM participant 
administrative burden by having them review claims data for an existing 
relationship and may be challenging to operationalize given the window 
of time when the beneficiary is admitted to the hospital or hospital 
outpatient department and when they are required to submit the 
referral--before the TEAM beneficiary is discharged from the hospital 
or hospital outpatient department. As such, we considered extending the 
timeframe of when the referral to primary care services would occur. 
For example, we considered requiring the referral to primary care 
services occur any time before the episode ends, rather than by the 
time the TEAM beneficiary is discharged from the hospital or hospital 
outpatient department. Given the administrative burden, we considered 
only requiring the referral for TEAM beneficiaries who do not have any 
relationship with a supplier of primary

[[Page 18403]]

care services within the two previous years before the initiation of 
the episode as long as beneficiary freedom of choice requirements would 
be met, which would reduce burden since evidence from the BPCI Advanced 
model suggests most beneficiaries have some existing relationship. 
However, we recognize burden would not be diminished because it would 
still require the TEAM participant to identify through claims data 
whether the beneficiary had an established relationship or not.
    We also considered, but are not proposing, that a TEAM participant 
could refer the beneficiary to a supplier of primary care services 
other than their existing supplier, including referral to a TEAM 
participant's supplier of primary care services, as long as beneficiary 
freedom of choice requirements would be met, and the TEAM participant 
documented the TEAM beneficiary's preference. We recognize such a 
policy would increase administrative burden on TEAM participants to 
document a TEAM beneficiary's preference to be referred to a supplier 
of primary care services other than the supplier with whom they have an 
established relationship. However, we believe this additional 
documentation would help to ensure referrals are not influenced by a 
TEAM participant's financial or contractual relationships with certain 
suppliers of primary care services.
    An internal analysis for the BPCI Advanced model demonstrated that 
approximately 94 percent of beneficiaries that initiated an episode, 
medical or surgical, had some primary care visit, as demonstrated 
through at least one evaluation & management (E&M), care management 
services, care planning, or wellness visit in 2 years prior to their 
episode. Additionally, among the small group that did not have a 
primary care visit in those 2 years before the episode, the BPCI 
Advanced model increased the share of beneficiaries getting a primary 
care visit within the 90-day post-discharge period by 9 percent for 
medical episodes. This suggests that the majority of BPCI Advanced 
beneficiaries have interfaced with primary care prior to their episode 
of care and that they may have an existing relationship with a supplier 
of primary care services. However, the benefit to requiring referral to 
primary care may be more practical for medical episodes rather than 
surgical episodes. This may be because the surgeon specialist has the 
expertise to manage the clinical follow-up, whereas a medical episode 
is generally an acute exacerbation of a chronic condition that primary 
care may typically manage. Given TEAM's current set episodes are all 
surgical, we recognize the primary care service referral may not be as 
impactful to driving primary care connections. We therefore considered, 
but are not proposing, removing the referral to primary care services 
requirement from TEAM. This means that a TEAM participant would not be 
required to submit a referral to primary care services for any TEAM 
beneficiary. In addition to the internal analysis findings, we believe 
many TEAM participants already have the mechanisms in place to refer 
the TEAM beneficiary back to their preferred supplier of primary care 
services, thus making the requirement inconsequential. Further, TEAM's 
testing of surgical episodes may also be contrary to a goal of the 
model. Meaning, referring back to a supplier of primary care services 
could result in unnecessary spending if the supplier of primary care 
services does not effectively manage the TEAM beneficiary's care. For 
example, a supplier of primary care services has the TEAM beneficiary 
go to the emergency department for surgical wound assessment, whereas 
the surgeon specialist may have informed the TEAM beneficiary the wound 
was healing as expected. Despite the consideration to removing the 
referral to primary care services requirement, we still believe it is 
an important policy because it provides additional assurances the TEAM 
participant will connect the TEAM beneficiary to primary care services 
for ongoing care and follow-up that may help to reduce avoidable 
readmissions and promote better longer-term outcomes.
    We seek comment on our proposal to maintain the current policy as 
well as the alternative approaches for the referral to primary care 
services requirement as described previously. We also seek comment on 
alternatives that we may not have considered.
f. Waivers of Medicare Program Requirements--3-Day SNF Rule
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69833), we finalized 
the 3-Day SNF Rule Waiver that waives the requirement for a 3-day 
inpatient hospital stay prior to a Medicare-covered, post-hospital, 
extended-care service for eligible beneficiaries if certain conditions 
are met. As finalized, the 3-Day SNF Rule Waiver allows TEAM 
participants to send eligible TEAM beneficiaries to qualified SNFs, as 
described in Sec.  512.580(b), which does not include hospitals which 
swing bed arrangements. We sought comment in the FY 2025 IPPS/LTCH PPS 
proposed rule on the potential to allow TEAM participants to use the 
SNF 3-day rule waiver for hospitals and Critical Access Hospitals 
(CAHs), as designated in Sec.  485.606, providing post-acute care (PAC) 
under swing bed arrangements (89 FR 36468). We considered including 
swing bed arrangements under the TEAM SNF 3-day rule waiver, but did 
not propose to do so at the time, citing concerns about the inability 
to ensure the quality of swing bed arrangements for post-acute care 
following an early hospital discharge. We received stakeholder feedback 
recommending that we allow TEAM participants to use the TEAM SNF 3-day 
rule waiver for PAC provided under swing bed arrangements on the 
grounds that the inclusion of swing beds would increase access to PAC 
services for beneficiaries in rural areas or areas with health care 
shortages (89 FR 69834). However, we did not alter our proposal and 
finalized the TEAM SNF 3-day rule waiver without including swing beds. 
In the final rule, we noted that greater risks may be present for 
patients following early inpatient hospital discharge, and that the SNF 
quality rating requirement for use of the SNF 3-day rule waiver, which 
requires SNFs to have a CMS Five-Star Quality Rating System rating of 
at least 3 stars in 7 of the past 12 months, offers an additional level 
of protection to beneficiaries following an early discharge by ensuring 
that all TEAM beneficiaries discharged to a SNF after a hospital stay 
of fewer than 3 days are admitted to a SNF that has demonstrated that 
it can provide quality care to patients with significant unresolved 
post-surgical symptoms and problems. Without a corresponding metric in 
place for swing bed arrangements, we declined to include swing beds 
under the TEAM SNF 3-day rule waiver.
    To address stakeholder concerns surrounding PAC access in rural and 
underserved areas, we are now proposing to allow TEAM participants to 
use the TEAM SNF 3-day rule waiver for TEAM beneficiaries discharged to 
hospitals and CAHs providing PAC under swing bed arrangements.
    In order to furnish SNF services under a swing bed agreement, 
hospitals must be substantially in compliance with the SNF 
participation requirements specified at Sec.  482.58(b), whereas CAHs 
must be substantially in compliance with the SNF participation 
requirements specified at Sec.  485.645(d). However, per current TEAM 
regulations, TEAM participants are not permitted to use the TEAM 3-day 
SNF waiver for SNF services furnished under a swing bed agreement 
because: (1) The SNF 3-day rule waiver under the TEAM regulations

[[Page 18404]]

at Sec.  512.580(b)(1) waives the requirement for a 3-day prior 
inpatient hospitalization only with respect to otherwise covered SNF 
services furnished by an eligible SNF and does not extend to otherwise 
covered post-hospital extended care services furnished by a provider 
under a swing bed agreement; and (2) CAHs and other rural hospitals 
furnishing SNF services under swing bed agreements are not included in 
the CMS Five-Star Quality Rating System and, therefore, cannot meet the 
requirement at Sec.  512.580(b)(3) that, to be qualified for Medicare 
coverage of SNF services provided to a TEAM beneficiary discharged from 
the hospital with a stay of less than 3 days under the TEAM SNF 3-day 
rule waiver, the SNF must have an overall rating of 3 or higher under 
the CMS Five-Star Quality Rating System for 7 of the previous 12 
months.
    For the reasons described in stakeholder comments on the FY 2025 
IPPS/LTCH PPS proposed rule as well as recent research on PAC access in 
rural areas, we believe it is necessary to offer hospitals 
participating under episode-based payment models and thereby assuming 
financial responsibility for their beneficiaries' PAC--especially 
hospitals operating in areas where PAC access may be limited and SNF 
services specifically may only be available in non-traditional SNF 
settings--additional tools and flexibility to manage and coordinate 
care for their beneficiaries. We agree with stakeholders that there are 
fewer SNFs in rural areas. Therefore, we agree with stakeholders that 
risk-bearing hospitals in rural areas would be better able to 
coordinate and manage care, and thus to control unnecessary costs, if 
the SNF 3-day rule waiver extended to otherwise covered SNF services 
provided by a hospital or CAH under a swing bed agreement. We believe 
this proposal would primarily benefit hospitals located in rural areas 
because most CAHs and hospitals that are approved to furnish post-acute 
SNF-level care via a swing bed agreement are located in rural areas. 
Consistent with this proposal, and in line with the Medicare Shared 
Savings Program regulations at Sec.  425.612(a)(1) introductory text 
and (a)(1)(iii)(A), we also propose to revise the regulations governing 
the SNF 3-day rule waiver at Sec.  512.580(b)(1) to indicate that, for 
purposes of determining SNF qualification for the SNF 3-day rule 
waiver, SNFs include providers furnishing SNF services under swing bed 
arrangements. We believe it's important to align the SNF 3-day rule 
waiver with other CMS programs and initiatives, where appropriate, to 
create more uniform policies and hopefully increase waiver utilization. 
In addition, we propose to revise Sec.  512.580(b)(3) to specify that 
the minimum 3-star rating requirement for 7 of the past 12 months 
applies only if the provider furnishing SNF services is eligible to be 
included in the CMS Five-Star Quality Rating System. We do not have a 
comparable data element to the CMS Five-Star Quality Rating System for 
hospitals and CAHs under swing bed agreements; however, under 
Sec. Sec.  512.590 and 512.586(a), we reserve the right to monitor and 
audit the use of payment waivers. We will continue to monitor the use 
of the SNF 3-day rule waiver to ensure TEAM participants are not 
compromising beneficiary protections at Sec.  512.582(a) and reserve 
the right to perform remedial action under Sec.  512.592 if the waiver 
is used inappropriately or beneficiaries are not receiving appropriate 
care.
    Additionally, we note the possibility that a beneficiary could be 
admitted to a hospital, have an inpatient stay of less than 3 days, and 
then be admitted to the same hospital under its swing bed agreement. As 
previously discussed, we believe hospitals that bear a degree of 
financial risk have a stronger incentive not to overutilize services 
and have an incentive to recommend a beneficiary for admission to a SNF 
only when it is medically appropriate. We also note this scenario could 
occur when a beneficiary meets the generally applicable 3-day stay 
requirement. Thus, we do not believe extending the SNF 3-day rule 
waiver to include services furnished by a hospital under a swing bed 
agreement would create a new gaming opportunity.
    We considered, but are not proposing, including only swing bed 
arrangements at CAHs under the expanded TEAM SNF 3-day rule waiver. 
While stakeholder feedback received on the 2025 IPPS/LTCH PPS proposed 
rule focused on swing bed arrangements at CAHs, we believe that the 
inclusion of swing bed arrangements at other hospitals is better 
aligned with the swing bed eligibility requirements detailed in Sec.  
482.58.
    We seek comment on our proposal at Sec.  512.580(b)(3) to allow 
TEAM participants to use the TEAM SNF 3-day rule waiver for TEAM 
beneficiaries discharged to hospitals and CAHs providing post-acute 
care (PAC) under swing bed arrangements.
g. Decarbonization and Resilience Initiative
    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69859) we finalized 
the Decarbonization and Resilience Initiative (DRI). This initiative 
was designed to address threats posed by climate change to the Nation's 
health and health care system by collecting, monitoring, and assessing 
hospital carbon emissions and their effects on health outcomes, costs, 
and quality. The initiative includes two primary elements--
     Emissions reporting in four priority areas: 
organizational, building energy, anesthetic gas, and transportation; 
and
     Technical assistance on reducing emissions.
    While the DRI is a voluntary initiative for TEAM participants and 
their hospital corporate affiliates, we recognize it does not align 
with the Administration's priorities. We note that it is not uncommon 
to reevaluate policies and programs, and that doing so is within an 
agency's discretion, especially after a change in Administration, to 
implement changes through rulemaking. Additionally, since TEAM is a 
mandatory model, we want to reduce the reporting burden and reduce 
administrative costs on TEAM participants as much as possible, so 
eliminating this initiative will reduce the amount of data TEAM 
participants may report and reduce the costs to set up the reporting 
infrastructure. The Episode Payment Models and the Cardiac 
Rehabilitation (CR) Incentive Payment Model were cancelled because, at 
that time, those models were not in the best interest of the Agency or 
the providers affected by them (82 FR 57066), and we similarly believe 
that retaining the DRI in TEAM is not in the best interest of the 
Agency or providers who already a part of a mandatory model. We believe 
removing this initiative from TEAM will allow TEAM participants to 
focus on the requirements of the model, rather than a voluntary 
initiative. We also believe that cancelling the DRI from TEAM will 
offer CMS flexibility to design and test other initiatives in the 
future that align with the Administration's goals. We note that TEAM 
participants are not precluded from continuing their own efforts to 
reduce greenhouse gas emissions and are encouraged to engage in other 
areas that may help improve patient quality of care and reduce hospital 
spending and operating costs. Therefore, we propose to remove the DRI 
from TEAM.
    We seek comment on our proposal to remove the DRI from TEAM and 
remove the corresponding regulations at Sec.  512.598.

[[Page 18405]]

XII. MedPAC Recommendations and Publicly Available Files

A. MedPAC Recommendations

    Under section 1886(e)(4)(B) of the Act, the Secretary must consider 
MedPAC's recommendations regarding hospital inpatient payments. Under 
section 1886(e)(5) of the Act, the Secretary must publish in the annual 
proposed and final IPPS rules the Secretary's recommendations regarding 
MedPAC's recommendations. We have reviewed MedPAC's March 2025 ``Report 
to the Congress: Medicare Payment Policy'' and have given the 
recommendations in the report consideration in conjunction with the 
policies set forth in this proposed rule. MedPAC recommendations for 
the IPPS for FY 2026 are addressed in Appendix B to this proposed rule.
    For further information relating specifically to the MedPAC reports 
or to obtain a copy of the reports, contact MedPAC at (202) 653-7226, 
or visit MedPAC's website at https://www.medpac.gov.

B. Publicly Available Files

    IPPS-related data are available on the internet for public use. The 
data can be found on the CMS website at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index. Following is 
a listing of the IPPS-related data files that are available.
    Commenters interested in discussing any data files used in 
construction of this proposed rule should contact Michael Treitel at 
(410) 786-4552.
1. CMS Wage Data Public Use File
    This file contains the hospital hours and salaries from Worksheet 
S-3, parts II and III from FY 2022 Medicare cost reports used to create 
the proposed FY 2026 IPPS wage index. Multiple versions of this file 
are created each year. For a discussion of the release of different 
versions of this file, we refer readers to section III.C.4. of the 
preamble of this proposed rule.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Wage-Index-Files.html.
    Periods Available: FY 2007 through FY 2026 IPPS Update.
2. CMS Occupational Mix Data Public Use File
    This file contains the CY 2022 occupational mix survey data to be 
used to compute the occupational mix adjusted wage indexes. Multiple 
versions of this file are created each year. For a discussion of the 
release of different versions of this file, we refer readers to section 
III.C.4 of the preamble of this proposed rule.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Wage-Index-Files.html.
    Period Available: FY 2026 IPPS Update.
3. Provider Occupational Mix Adjustment Factors for Each Occupational 
Category Public Use File
    This file contains each hospital's occupational mix adjustment 
factors by occupational category. Two versions of these files are 
created each year to support the rulemaking.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Wage-Index-Files.html.
    Period Available: FY 2026 IPPS Update.
4. Other Wage Index Files
    CMS releases other wage index analysis files after each proposed 
and final rule.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Wage-Index-Files.html.
    Periods Available: FY 2005 through FY 2026.
5. FY 2026 IPPS FIPS CBSA State and County Crosswalk
    This file contains a crosswalk of State and county codes used by 
the Federal Information Processing Standards (FIPS), county name, and a 
list of Core Based Statistical Areas (CBSAs).
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-
Service-Payment/AcuteInpatientPPS/Index.html (on the navigation panel 
on the left side of the page, click on the FY 2026 proposed rule home 
page or the FY 2026 final rule home page) or https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Acute-Inpatient-Files-for-Download.html.
    Period Available: FY 2026 IPPS Update.
6. HCRIS Cost Report Data
    The data included in this file contain cost reports with fiscal 
years ending on or after September 30, 1996. These data files contain 
the highest level of cost report status.
    Media: internet at https://www.cms.gov/Research-Statistics-Data-and-Systems/Downloadable-Public-Use-Files/Cost-Reports/Cost-Reports-by-Fiscal-Year.
    (We note that data are no longer offered on a CD. All of the data 
collected are now available free for download from the cited website.)
7. Provider-Specific File
    This file is a component of the PRICER program used in the MAC's 
system to compute DRG/MS-DRG payments for individual bills. The file 
contains records for all prospective payment system eligible hospitals, 
including hospitals in waiver States, and data elements used in the 
prospective payment system recalibration processes and related 
activities. Beginning with December 1988, the individual records were 
enlarged to include pass-through per diems and other elements.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/ProspMedicareFeeSvcPmtGen/psf_text.
    Period Available: Quarterly Update.
8. CMS Medicare Case-Mix Index File
    This file contains the Medicare case- mix index by provider number 
based on the MS-DRGs assigned to the hospital's discharges using the 
GROUPER version in effect on the date of the discharge. The case-mix 
index is a measure of the costliness of cases treated by a hospital 
relative to the cost of the national average of all Medicare hospital 
cases, using DRG/MS-DRG weights as a measure of relative costliness of 
cases. Two versions of this file are created each year to support the 
rulemaking.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Acute-Inpatient-Files-for-Download.html, or for the more recent data files, https://www.cms.gov/
Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Index.html 
(on the navigation panel on the left side of page, click on the 
specific fiscal year proposed rule home page or fiscal year final rule 
home page desired).
    Periods Available: FY 1985 through FY 2026.
9. MS-DRG Relative Weights (Also Table 5--MS-DRGs)
    This file contains a listing of MS-DRGs, MS-DRG narrative 
descriptions, relative weights, and geometric and arithmetic mean 
lengths of stay for each fiscal year. Two versions of this file are 
created each year to support the rulemaking.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-

[[Page 18406]]

for-Service-Payment/AcuteInpatientPPS/Acute-Inpatient-Files-for-
Download.html, or for the more recent data files, https://www.cms.gov/
Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Index.html 
(on the navigation panel on the left side of page, click on the 
specific fiscal year proposed rule home page or the fiscal year final 
rule home page desired).
    Periods Available: FY 2005 through FY 2026 IPPS Update.
10. IPPS Payment Impact File
    This file contains data used to estimate payments under Medicare's 
hospital inpatient prospective payment systems for operating and 
capital-related costs. The data are taken from various sources, 
including the Provider-Specific File, HCRIS Cost Report Data, MedPAR 
Limited Data Sets, and prior impact files. The data set is abstracted 
from an internal file used for the impact analysis of the changes to 
the prospective payment systems published in the Federal Register. Two 
versions of this file are created each year to support the rulemaking.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Historical-Impact-Files-for-FY-1994-through-Present, or for the more recent data files, https://
www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/
AcuteInpatientPPS/Index.html (on the navigation panel on the left side 
of page, click on the specific fiscal year proposed rule home page or 
fiscal year final rule home page desired).
    Periods Available: FY 1994 through FY 2026 IPPS Update.
11. AOR/BOR File
    This file contains data used to develop the MS-DRG relative 
weights. It contains mean, maximum, minimum, standard deviation, and 
coefficient of variation statistics by MS-DRG for length of stay and 
standardized charges. The BOR file are ``Before Outliers Removed'' and 
the AOR file is ``After Outliers Removed.'' (Outliers refer to 
statistical outliers, not payment outliers.) Two versions of this file 
are created each year to support the rulemaking.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Acute-Inpatient-Files-for-Download.html, or for the more recent data files, https://www.cms.gov/
Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Index.html 
(on the navigation panel on the left side of page, click on the 
specific fiscal year proposed rule home page or fiscal year final rule 
home page desired).
    Periods Available: FY 2005 through FY 2026 IPPS Update.
12. Prospective Payment System (PPS) Standardizing File
    This file contains information that standardizes the charges used 
to calculate relative weights to determine payments under the hospital 
inpatient operating and capital prospective payment systems. Variables 
include wage index, cost-of-living adjustment (COLA), case-mix index, 
indirect medical education (IME) adjustment, disproportionate share, 
and the Core- Based Statistical Area (CBSA). The file supports the 
rulemaking.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-
Service-Payment/AcuteInpatientPPS/Index.html (on the navigation panel 
on the left side of the page, click on the FY 2026 proposed rule home 
page or the FY 2026 final rule home page) or https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Acute-Inpatient-Files-for-Download.html.
    Period Available: FY 2026 IPPS Update.
13. MS-DRG Relative Weights Cost Centers File
    This file provides the lines on the cost report and the 
corresponding revenue codes that we used to create the 19 national cost 
center cost-to-charge ratios (CCRs) that we used in the relative weight 
calculation.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-
Service-Payment/AcuteInpatientPPS/Index.html (on the navigation panel 
on the left side of the page, click on the FY 2026 proposed rule home 
page or the FY 2026 final rule home page) or https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Acute-Inpatient-Files-for-Download.html.
    Period Available: FY 2026 IPPS Update.
14. Hospital Readmissions Reduction Program Supplemental File
    The Hospital Readmissions Reduction Program Supplemental File is 
only available and updated for the final rule, when the most recent 
data is available. Therefore, we refer readers to the FY 2025 IPPS/LTCH 
PPS final rule supplemental file, which has the most recent finalized 
payment adjustment factor components and is the same data as would have 
been used to create the FY 2026 IPPS/LTCH PPS proposed rule 
supplemental file.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-
Service-Payment/AcuteInpatientPPS/Index.html (on the navigation panel 
on the left side of the page, click on the FY 2026 proposed rule home 
page or the FY 2026 final rule home page) or https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Acute-Inpatient-Files-for-Download.html.
    Period Available: FY 2026 IPPS Update.
15. Medicare Disproportionate Share Hospital (DSH) Supplemental File
    This file contains information on the calculation of the 
uncompensated care payments for DSH-eligible hospitals as well as the 
supplemental payments for eligible IHS and Tribal hospitals and 
hospitals located in Puerto Rico for FY 2026. Variables include the 
data used to determine a hospital's share of uncompensated care 
payments, total uncompensated care payments, estimated per-claim 
uncompensated care payment amounts, and if applicable, supplemental 
payment amounts. The file supports the rulemaking.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-
Service-Payment/AcuteInpatientPPS/Index.html (on the navigation panel 
on the left side of the page, click on the FY 2026 proposed rule home 
page or the FY 2026 final rule home page) or https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Acute-Inpatient-Files-for-Download.html.
    Period Available: FY 2026 IPPS Update.
16. New Technology Thresholds File
    This file contains the cost thresholds by MS-DRG that are generally 
used to evaluate applications for new technology add-on payments for 
the fiscal year that follows the fiscal year that is otherwise the 
subject of the rulemaking. (As discussed in section II.G. of the 
preamble of this proposed rule, we use the proposed threshold values 
associated with the proposed rule for that fiscal year to evaluate the 
cost criterion for applications for new technology add-on payments and 
previously approved technologies that may continue to receive new 
technology add-on payments, if those technologies would be assigned to 
a proposed new MS-DRG for that same fiscal year.) Two versions of this 
file are created each year to support rulemaking.
    Media: internet at https://www.cms.gov/Medicare/Medicare-Fee-for-
Service-Payment/

[[Page 18407]]

AcuteInpatientPPS/Index.html (on the navigation panel on the left side 
of the page, click on the applicable fiscal year's proposed rule or 
final rule home page) or https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/Acute-Inpatient-Files-for-Download.html.
    Periods Available: FY 2025 through FY 2027 applications.

XIII. Collection of Information Requirements

A. Statutory Requirement for Solicitation of Comments

    Under the Paperwork Reduction Act (PRA) of 1995, we are required to 
provide 60-day notice in the Federal Register and solicit public 
comment before a collection of information requirement is submitted to 
the Office of Management and Budget (OMB) for review and approval. To 
fairly evaluate whether an information collection should be approved by 
OMB, section 3506(c)(2)(A) of the PRA of 1995 requires that we solicit 
comment on the following issues:
     The need for the information collection and its usefulness 
in carrying out the proper functions of our agency.
     The accuracy of our estimate of the information collection 
burden.
     The quality, utility, and clarity of the information to be 
collected.
     Recommendations to minimize the information collection 
burden on the affected public, including automated collection 
techniques.
    In this proposed rule, we are soliciting public comment on each of 
these issues for the following sections of this document that contain 
information collection requirements (ICRs). The following ICRs are 
listed in the order of appearance within the preamble (see sections II. 
through XI. of the preamble of this proposed rule).

B. Collection of Information Requirements

1. ICRs for the Hospital Readmissions Reduction Program
    In section VI.K. of the preamble of this proposed rule, we discuss 
our proposed updates to the Hospital Readmissions Reduction Program. 
Specifically, in this proposed rule, we propose to (1) modify the six 
readmission measures in the program to include Medicare Advantage (MA) 
beneficiaries into the patient cohorts, and (2) modify the applicable 
performance period from a 3-year period to a 2-year period. All six of 
the current Hospital Readmissions Reduction Program's measures are 
claims-based measures, therefore this proposal would not impact 
information collection burden. We believe that continuing to use these 
claims-based measures would not create or reduce any information 
collection burden for hospitals because they will continue to be 
collected using Medicare FFS claims that hospitals are already 
submitting to the Medicare program for payment purposes under OMB 
control number 0938-1197 (expiration date October 31, 2027).
2. ICRs for the Hospital Value-Based Purchasing (VBP) Program
    In section VI.L. of the preamble of this proposed rule, we discuss 
our proposed updates to the Hospital VBP Program. Specifically, we 
propose to modify the Hospital-Level Risk-Standardized Complication 
Rate (RSCR) Following Elective Primary Total Hip Arthroplasty/Total 
Knee Arthroplasty (THA/TKA) measure in alignment with the Hospital IQR 
Program, beginning with the April 1, 2029-March 31, 2031, performance 
period/FY 2033 payment determination. The proposed modifications would 
include adding Medicare Advantage (MA) beneficiaries into the patient 
cohorts and modifying the applicable performance period from a 3-year 
period to a 2-year period.
    The Hospital-Level RSCR Following Elective Primary THA/TKA measure 
currently uses data that are collected using Medicare FFS claims that 
hospitals are already submitting to the Medicare program for payment 
purposes; therefore, there is no additional information collection 
burden associated with this measure regarding the modification of the 
applicable performance period. We also do not anticipate any change in 
burden associated with the proposed modification to add MA 
beneficiaries into the patient cohorts. As proposed, the measure would 
use MA encounter data already collected by CMS to determine cohort 
inclusion criteria, complications outcomes, and present on admission 
(POA) comorbidities. We discuss the burden associated with the similar 
proposal to modify the Hospital-Level RSCR Following Elective Primary 
THA/TKA measure under the Hospital IQR Program in section X.C.3.b of 
the preamble of this proposed rule.
    We also propose to remove the Health Equity Adjustment (HEA) that 
rewards top performing hospitals that serve higher proportions of 
patients with dual eligibility status. Because the HEA affects the 
scoring methodology and does not require hospitals to submit any 
additional information, we do not anticipate any change in burden 
associated with the proposal.
3. ICRs for the Hospital-Acquired Condition (HAC) Reduction Program
    OMB has currently approved 28,840 hours of burden and approximately 
$1.5 million under OMB control number 0938-1352 (expiration date 
November 30, 2025), accounting for information collection burden 
experienced by 400 subsection (d) hospitals selected for validation 
each year in the HAC Reduction Program.
    In section VI.M. of the preamble of this proposed rule, we discuss 
our proposed updates to the HAC Reduction Program. Specifically, we 
propose to update the Centers for Disease Control and Prevention (CDC) 
National Healthcare Safety Network (NHSN) Hospital-Acquired Infection 
(HAI) chart-abstracted measures to a more recent baseline year to 
better reflect current HAI diagnostic practices to improve patient 
safety outcomes and quality of care. This proposed update does not 
affect the amount of data hospitals are required to submit for these 
measures, therefore we do not anticipate any change in information 
collection burden. Information collection burden associated with 
collection of data for these measures is accounted for by CDC under OMB 
control number 0920-0666 (expiration date December 31, 2027).
4. ICRs for the Hospital Inpatient Quality Reporting (IQR) Program
a. Background
    Data collections for the Hospital IQR Program are associated with 
OMB control number 0938-1022 (expiration date January 31, 2026), under 
which OMB has currently approved 2,283,878 hours of burden at a cost of 
approximately $92.1 million, accounting for information collection 
burden experienced by approximately 3,050 IPPS hospitals and 1,500 non-
IPPS hospitals for the FY 2027 payment determination. In this proposed 
rule, we describe the burden changes regarding collection of 
information, under OMB control number 0938-1022.
    For more detailed information on our proposals for the Hospital IQR 
Program, we refer readers to sections X.C.3., X.C.4., and X.C.7. of the 
preamble of this proposed rule. We proposed modifications to two 
measures: (1) the Hospital-Level, Risk-Standardized Complication Rate 
(RSCR) Following Elective Primary Total Hip Arthroplasty (THA) and/or 
Total Knee Arthroplasty (TKA) measure (herein after referred to as the 
COMP-HIP-KNEE measure) beginning with the FY 2027 payment 
determination, associated with the April 1, 2023-March 31, 2025 
performance period; (2) the Hospital 30-Day, All-

[[Page 18408]]

Cause, Risk-Standardized Mortality Rate (RSMR) Following Acute Ischemic 
Stroke Hospitalization (hereinafter referred to as the MORT-30-STK) 
measure, beginning with the FY 2027 payment determination, associated 
with a July 1, 2023-June 30, 2025 performance period. We also proposed 
to modify the reporting requirements of the Hybrid Hospital-Wide 
Readmission (HWR) measure beginning with the FY 2028 payment 
determination, associated with a July 1, 2025-June 30, 2026, 
performance period; and the Hybrid Hospital-Wide Mortality (HWM) 
measure beginning with the FY 2028 payment determination, associated 
with a July 1, 2025-June 30, 2026, performance period. We do not 
anticipate any of these proposals will affect information collection 
burden.
    We also proposed to remove four measures beginning with the CY 2024 
reporting period/FY 2026 payment determination: (1) the Hospital 
Commitment to Health Equity measure; (2) the COVID-19 Vaccination 
Coverage among Healthcare Personnel (HCP) measure; (3) the Screening 
for Social Drivers of Health measure; and (4) the Screen Positive Rate 
for Social Drivers of Health Measure. We discuss the impacts on 
information collection burden associated with these proposals later in 
this section.
    Using the most recent data from the BLS for medical records 
specialists (SOC 29-2072), entitled, the May 2023 National Occupational 
Employment and Wage Estimates (OEWS), we propose to use the mean hourly 
wage for medical records specialists for the industry, ``general 
medical and surgical hospitals,'' which is $27.69.\435\ We believe the 
industry of ``general medical and surgical hospitals'' is more specific 
to this program compared to other industries under medical records 
specialists, such as ``office of physicians'' or ``nursing care 
facilities.'' We calculated the cost of overhead, including fringe 
benefits, at 100 percent of the mean hourly wage, consistent with 
previous years. This is necessarily a rough adjustment, both because 
fringe benefits and overhead costs vary significantly by employer and 
methods of estimating these costs vary widely in the literature. 
Nonetheless, we believe that doubling the hourly wage rate ($27.69 x 2 
= $55.38) to estimate total cost is a reasonably accurate estimation 
method. Unless otherwise specified, we will calculate cost burden to 
hospitals using a wage plus benefits estimate of $55.38 per hour 
throughout the discussion in this section of this proposed rule for the 
Hospital IQR Program. If BLS releases updated wage rates after this 
proposed rule is published and before the final rule is published, we 
will maintain the wage rates used in this proposed rule.
---------------------------------------------------------------------------

    \435\ U.S. Bureau of Labor Statistics. Occupational Outlook 
Handbook, Medical Records Specialists. Accessed November 27, 2024. 
Available at: https://www.bls.gov/oes/current/oes292072.htm.
---------------------------------------------------------------------------

    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69894), our burden 
estimates were based on an assumption of approximately 3,050 IPPS 
hospitals. For this proposed rule, based on data from the FY 2025 
Hospital IQR Program payment determination, we are maintaining that 
assumption and estimate that approximately 3,050 IPPS hospitals will 
report data to the Hospital IQR Program for the CY 2026 reporting 
period.
b. Information Collection Burden Estimate for the Proposed 
Modifications to the Hospital-Level, RSCR Following Elective Primary 
THA/TKA Measure and Hospital 30-Day, All-Cause, RSMR Following Acute 
Ischemic Stroke Hospitalization Measure Beginning With the FY 2027 
Payment Determination
    In sections X.C.3.a. and X.C.3.b. of the preamble of this proposed 
rule, we discuss the proposals to modify the COMP-HIP-KNEE measure 
beginning with the FY 2027 payment determination, associated with the 
April 1, 2023--March 31, 2025 performance period and the MORT-30-STK 
measure beginning with the FY 2027 payment determination, associated 
with the July 1, 2023-June 30, 2025 performance period. These proposed 
modifications would include adding MA patients to the current cohort of 
patients and shortening the performance period from 3 years to 2 years. 
Because these measures would be calculated using MA encounter data and 
Medicare FFS claims that are already reported to the Medicare program 
for payment purposes, modifying these measures would not result in a 
change in burden associated with OMB control number 0938-1022.
c. Information Collection Burden Estimate for the Proposed Modification 
of the Hybrid HWR and HWM Measures Beginning With the FY 2028 Payment 
Determination
    In section X.C.7.c. of the preamble of this proposed rule, we 
propose to modify the Hybrid HWR and HWM measure reporting requirements 
beginning with the FY 2028 payment determination, associated with a 
July 1, 2025-June 30, 2026, performance period. This modification would 
lower the submission thresholds for both the Hybrid HWR and HWM 
measures to allow for up to two missing laboratory results and up to 
two missing vital signs, reduce the core clinical data elements (CCDEs) 
submission requirement to 70 percent or more of discharges, and reduce 
the submission requirement of linking variables to 70 percent or more 
of discharges.
    In the CY 2025 OPPS/ASC final rule (89 FR 94495 through 94499), we 
finalized that submission of CCDEs and linking variables associated 
with the Hybrid HWR and Hybrid HWM measures will remain voluntary. In 
the FY 2020 IPPS/LTCH PPS and FY 2022 IPPS/LTCH PPS final rules, 
respectively, we estimated the burden for voluntary reporting for the 
Hybrid HWR (84 FR 42603 and 42604) and Hybrid HWM measures (86 FR 
45508) and stated that we encourage all hospitals to submit data for 
the Hybrid HWR and Hybrid HWM measures during the voluntary reporting 
period. As a result, our previously finalized reporting burden 
estimates assume that all hospitals will participate in order to not 
underestimate the burden on participating hospitals and account for the 
submission of CCDEs and linking variables. Therefore, while the 
proposed modifications are designed to reduce the administrative burden 
associated with reporting these measures, they would not affect 
information collection burden as neither the amount of data collected 
nor frequency of data submission are impacted.
d. Information Collection Burden Estimate for the Proposed Removal of 
the Hospital Commitment to Health Equity Measure Beginning With the CY 
2024 Reporting Period/FY 2026 Payment Determination
    In section X.C.4.a. of the preamble of this proposed rule, we 
propose to remove the Hospital Commitment to Health Equity (HCHE) 
measure beginning with the CY 2024 reporting period/FY 2026 payment 
determination. Reporting on the HCHE measure involves each hospital 
being required to provide responses and attest ``yes'' or ``no'' in 
response to as many as five questions one time per year for a given 
reporting period through CMS' HQR System. We estimate each hospital 
would require 10 minutes (0.167 hours) annually to report this measure.
    The current burden estimate approved under OMB control number 0938-
1022 is 509 hours annually across all 3,050 IPPS hospitals (0.167 hours 
x 3,050 IPPS hospitals). Therefore, we estimated the removal of this 
measure would decrease the burden for all 3,050 IPPS hospitals

[[Page 18409]]

by 509 hours annually at a savings of $28,188 (509 hours x $55.38).
e. Information Collection Burden Estimate for the Proposed Removal of 
the COVID-19 Vaccination Coverage Among HCP Measure Beginning With the 
CY 2024 Reporting Period/FY 2026 Payment Determination
    In section X.C.4.b. of the preamble of this proposed rule, we 
propose to remove the COVID-19 Vaccination Coverage among HCP measure 
beginning with the CY 2024 reporting period/FY 2026 payment 
determination. This measure was previously finalized in the FY 2022 
IPPS/LTCH PPS final rule (86 FR 45374 through 45382), and the 
associated information collection is approved under OMB control number 
0920-1317 \436\ (expiration date January 31, 2028).
---------------------------------------------------------------------------

    \436\ Available at https://www.reginfo.gov/public/do/PRAViewICR?ref_nbr=202501-0920-003. Accessed February 26, 2025.
---------------------------------------------------------------------------

    Hospitals have the option to manually enter data directly into the 
Centers for Disease Control and Prevention (CDC) National Healthcare 
Safety Network (NHSN) web-based application or by uploading a CSV file. 
CDC estimates that each hospital requires between 40 minutes (0.67 
hours) to upload a CSV file and 45 minutes (0.75 hours) monthly to 
enter the data manually. CDC assumes that manual data entry would be 
completed by a Microbiologist with a wage rate of $58.60/hour and 
uploading of a CSV file would be completed by an Information 
Technologist with a wage rate of $56.50/hour. Therefore, we estimate 
that this proposal will result in a decrease in burden of between 
24,400 hours (0.67 hours x 12 months x 3,050 IPPS hospitals) at a cost 
of $1,378,600 (24,400 hours x $56.50) and 27,450 hours (0.75 hours x 12 
months x 3,050 IPPS hospitals) at a cost of $1,608,570 (27,450 hours x 
$58.60) annually across all 3,050 IPPS hospitals under OMB control 
number 0920-1317.
f. Information Collection Burden Estimate for the Proposed Removal of 
the Social Drivers of Health Measure Beginning With the CY 2024 
Reporting Period/FY 2026 Payment Determination
    In section X.C.4.c. of the preamble of this proposed rule, we 
propose to remove the Screening for Social Drivers of Health measure 
beginning with the CY 2024 reporting period/FY 2026 payment 
determination. There are two components to this measure: patient 
screening for five health related social needs domains and hospital 
submission of aggregated hospital-level measure data. We estimate each 
patient requires 2 minutes (0.033 hours) to complete the screening and 
each hospital requires 10 minutes (0.167 hours) annually to report this 
measure.
    With regard to patient screening, the currently approved burden 
estimate under OMB control number 0938-1022 is 625,500 hours annually 
for 18,765,000 patients (0.033 hours x 18,765,000 patients). With 
regard to measure reporting, the currently approved burden estimate is 
509 hours annually across all 3,050 IPPS hospitals (0.167 hours x 3,050 
IPPS hospitals).
    We determine the cost for patients (or their representative) 
undertaking administrative and other tasks, such as filling out a 
survey or intake form, using a post-tax wage of $25.63/hour based on 
the report ``Valuing Time in U.S. Department of Health and Human 
Services Regulatory Impact Analyses: Conceptual Framework and Best 
Practices,'' which identifies the approach for valuing time when 
individuals undertake activities on their own time.\437\ To derive the 
costs for patients (or their representatives), a measurement of the 
usual weekly earnings of wage and salary workers of $1,192 is divided 
by 40 hours to calculate an hourly pre-tax wage rate of $29.80/
hour.\438\ This rate is adjusted downwards by an estimate of the 
effective tax rate for median income households of about 14 percent 
calculated by comparing pre- and post-tax income,\439\ resulting in the 
post-tax hourly wage rate of $25.63/hour. Unlike our state and private 
sector wage adjustments, we are not adjusting beneficiary wages for 
fringe benefits and other indirect costs because the individuals' 
activities, if any, will occur outside the scope of their employment.
---------------------------------------------------------------------------

    \437\ Office of the Assistant Secretary for Planning an 
Evaluation, Valuing Time in U.S. Department of Health and Human 
Services Regulatory Impact Analyses: Conceptual Framework and Best 
Practices, September 17, 2017. Available at https://aspe.hhs.gov/reports/valuing-time-us-departmenthealth-human-services-regulatory-impact-analysesconceptual-framework.
    \438\ Bureau of Labor and Statistics, Usual Weekly Earnings of 
Wage and Salary Workers, First Quarter 2024. Available at https://www.bls.gov/news.release/pdf/wkyeng.pdf. Accessed March 3, 2025.
    \439\ U.S. Census Bureau, Income in the United States: 2023, p. 
43, September 2024. Available at https://www2.census.gov/library/publications/2024/demo/p60-282.pdf.
---------------------------------------------------------------------------

    Therefore, we estimate the removal of this measure would decrease 
the burden for all 3,050 IPPS hospitals by 626,009 hours (625,500 + 
509) annually at a savings of $16,059,753 (625,500 hours x $25.63 + 509 
hours x $55.38).
g. Information Collection Burden Estimate for the Proposed Removal of 
the Screen Positive Rate for Social Drivers of Health Measure Beginning 
With the CY 2024 Reporting Period/FY 2026 Payment Determination
    In section X.C.4.c. of the preamble of this proposed rule, we 
propose to remove the Screen Positive Rate for Social Drivers of Health 
measure beginning with the CY 2024 reporting period/FY 2026 payment 
determination. For this measure, hospitals are required to report on an 
annual basis the number of patients who screen positive for one or more 
of the five Social Drivers of Health domains divided by the total 
number of patients screened (reported as five separate rates). We 
estimate each hospital requires 10 minutes (0.167 hours) annually to 
report this measure.
    The current burden estimate approved under OMB control number 0938-
1022 is 509 hours annually across all 3,050 IPPS hospitals (0.167 hours 
x 3,050 IPPS hospitals). Therefore, we estimated the removal of this 
measure would decrease the burden for all 3,050 IPPS hospitals by 509 
hours annually at a savings of $28,188 (509 hours x $55.38/hour).
    We invite public comments on the proposed information collection 
requirements and whether our estimated burden reduction of 0.033 hours 
per patient and an annual decrease of 509 hours in burden per hospitals 
at admission is an accurate estimate.
h. Summary of Information Collection Burden Estimates for the Hospital 
IQR Program
    In summary, under OMB control number 0938-1022 (expiration date 
January 31, 2026), we estimate that the policies promulgated in this 
proposed rule would result in a decrease in information collection 
burden of 627,027 hours at a savings of $16,116,129. We also estimate 
that the policies promulgated in this proposed rule would result in a 
decrease in information collection burden of between 24,400 hours at a 
savings of $1,378,600 and 27,450 hours at a savings of $1,608,570 under 
OMB control number 0920-1317. We will submit the revised information 
collection estimates to OMB for approval under OMB control number 0938-
1022. With respect to any costs/burdens unrelated to data submission, 
we refer readers to the Regulatory

[[Page 18410]]

Impact Analysis (section I.K. of Appendix A of this proposed rule).

            Table XIII.B-01--Summary of Hospital IQR Program Estimated Information Collection Burden Change for the CY 2024 Reporting Period
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                                                                                 Previously
                                                                                           Average                   Proposed    finalized       Net
                                                Estimated      Number       Number of       number       Annual       annual       annual     difference
                   Activity                      time per    reporting     respondents   records per     burden       burden       burden     in annual
                                                  record      quarters      reporting     respondent  (hours) per    (hours)      (hours)       burden
                                                (minutes)     per year                   per quarter   respondent     across       across       hours
                                                                                                                    hospitals    hospitals
--------------------------------------------------------------------------------------------------------------------------------------------------------
                   Annual Recordkeeping and Reporting Requirements Under OMB Control Number 0938-1022 for the CY 2024 Reporting Period
--------------------------------------------------------------------------------------------------------------------------------------------------------
Removal of HCHE Measure......................       -0.167            1           3,050            1       -0.167            0          509         -509
Removal of Social Drivers of Health Measure         -0.033            1      18,765,000            1        -.033            0      625,500     -625,500
 (Patient Screening).........................
Removal of Social Drivers of Health Measure         -0.167            1           3,050            1       -0.167            0          509         -509
 (Measure Reporting).........................
Removal of Screen Positive for Social Drivers       -0.167            1           3,050            1       -0.167            0          509         -509
 of Health Measure...........................
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                             Total Change in Information Collection Burden Hours: -627,027.
                          Total Cost Estimate: Updated Hourly Wage (Varies) x Change in Burden Hours (-627,027) = -$16,116,129.
--------------------------------------------------------------------------------------------------------------------------------------------------------


            Table XIII.B-02--Summary of Hospital IQR Program Estimated Information Collection Burden Change for the CY 2024 Reporting Period
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                                                                                 Previously
                                                                                           Average                   Proposed    finalized       Net
                                                   Estimated      Number     Number of      number       Annual       annual       annual     difference
                    Activity                        time per    reporting   respondents  records per     burden       burden       burden     in annual
                                                     record    periods per   reporting    respondent  (hours) per    (hours)      (hours)       burden
                                                   (minutes)       year                   per period   respondent     across       across       hours
                                                                                                                    hospitals    hospitals
--------------------------------------------------------------------------------------------------------------------------------------------------------
                   Annual Recordkeeping and Reporting Requirements Under OMB Control Number 0920-1317 for the CY 2024 Reporting Period
--------------------------------------------------------------------------------------------------------------------------------------------------------
Removal of COVID-19 Vaccination Coverage Among         *-0.75           12        3,050            1           -9            0       27,450      -27,450
 HCP Measure....................................
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                              Total Change in Information Collection Burden Hours: -27,450.
                           Total Cost Estimate: Updated Hourly Wage ($58.60) x Change in Burden Hours (-27,450) = -$1,608,570.
--------------------------------------------------------------------------------------------------------------------------------------------------------
* For purposes of this table, we state the maximum possible burden across all IPPS hospitals.

5. ICRs for the PPS-Exempt Cancer Hospital Quality Reporting (PCHQR) 
Program
    OMB has currently approved 109 hours of burden at a cost of $2,844 
under OMB control number 0938-1175 (expiration date November 30, 2027), 
accounting for the annual information collection requirements for 11 
PCHs for the PCHQR Program. In this proposed rule, we describe the 
burden changes regarding collection of information under OMB control 
number 0938-1175 for PCHs.
    For more detailed information on our proposals for the PCHQR 
Program, we refer readers to section X.D. of the preamble of this 
proposed rule. We propose to remove three measures beginning with the 
FY 2026 program year: (1) the Hospital Commitment to Health Equity 
measure; (2) the Screening for Social Drivers of Health measure; and 
(3) the Screen Positive Rate for Social Drivers of Health Measure. We 
discuss the impacts on information collection burden associated with 
these proposals later in this section.
    We also propose to modify the public reporting requirements to 
allow for public reporting of the PCHQR Program on the Care Compare 
tool on Medicare.gov or a successor website in addition to current 
publication in the Provider Data Catalog. This proposal would not 
affect information collection burden as neither the amount of data 
collected nor frequency of data submission are impacted.
    Using the most recent data from the BLS for medical records 
specialists (SOC 29-2072), entitled, the May 2023 National Occupational 
Employment and Wage Estimates (OEWS), we propose to use the mean hourly 
wage for medical records specialists for the industry, ``general 
medical and surgical hospitals,'' which is $27.69. We believe the 
industry of ``general medical and surgical hospitals'' is more specific 
to this program compared to other industries under medical records 
specialists, such as ``office of physicians'' or ``nursing care 
facilities.'' We calculated the cost of overhead, including fringe 
benefits, at 100 percent of the mean hourly wage, consistent with 
previous years. This is necessarily a rough adjustment, both because 
fringe benefits and overhead costs vary significantly by employer and 
methods of estimating these costs vary widely in the literature. 
Nonetheless, we believe that doubling the hourly wage rate ($27.69 x 2 
= $55.38) to estimate total cost is a reasonably accurate estimation 
method. Unless otherwise specified, we will calculate cost burden to 
hospitals using a wage plus benefits estimate of $55.38 per hour 
throughout the discussion in this section of this proposed rule for the 
PCHQR Program. If BLS releases updated wage rates after this proposed 
rule is published and before the final rule is published, we will 
maintain the wage rates used in this proposed rule.

[[Page 18411]]

b. Information Collection Burden Estimate for the Proposed Removal of 
the Hospital Commitment to Health Equity Measure Beginning With the FY 
2026 Program Year
    In section X.D.2.a. of the preamble of this proposed rule, we 
propose to remove the Hospital Commitment to Health Equity (HCHE) 
measure beginning with the FY 2026 program year. Reporting on the HCHE 
measure involves each PCH being required to provide responses and 
attest ``yes'' or ``no'' in response to as many as five questions one 
time per year for a given program year through CMS' HQR System.
    The current burden estimate approved under OMB control number 0938-
1175 is 2 hours annually across all 11 PCHs (0.167 hours x 11 PCHs). 
Therefore, we estimated the removal of this measure would decrease the 
burden for all 11 PCHs by 2 hours annually at a savings of $111 (2 
hours x $55.38).
c. Information Collection Burden Estimate for the Proposed Removal of 
the Screening for Social Drivers of Health Measure Beginning With the 
FY 2026 Program Year
    In section X.D.2.b. of this proposed rule, we propose to remove the 
Screening for Social Drivers of Health measure beginning with the CY 
2024 reporting period/FY 2026 payment determination. There are two 
components to this measure: patient screening for five health related 
social needs domains and PCH submission of aggregated PCH-level measure 
data. In the FY 2024 IPPS/LTCH PPS final rule, the Screening for Social 
Drivers of Health and Screen Positive Rate for Social Drivers of Health 
measures were adopted with voluntary reporting in the FY 2026 program 
year followed by mandatory reporting on an annual basis beginning with 
the FY 2027 program year (88 FR 59317 and 59318). We estimate each 
patient requires 2 minutes (0.033 hours) to complete the screening and 
each PCH requires 10 minutes (0.167 hours) annually to report this 
measure.
    With regard to patient screening, the currently approved burden 
estimate under OMB control number 0938-1175 is 28 hours for 828 
patients (0.033 hours x 828 patients) for the FY 2026 program year and 
101 hours annually for 3,025 patients (0.033 hours x 3,025 patients) 
beginning with the FY 2027 program year. With regard to measure 
reporting, the currently approved burden estimate is 1 hour (0.167 
hours x 6 PCHs) for the FY 2026 program year and 2 hours annually 
(0.167 hours x 11 PCHs) beginning with the FY 2027 program year. We 
invite public comments on the proposed information collection 
requirements and whether our estimated burden reduction of 0.033 hours 
per patient and an annual decrease of 2 hours in burden per PCH at 
admission is an accurate estimate.
    We determine the cost for patients (or their representative) 
undertaking administrative and other tasks, such as filling out a 
survey or intake form, using a post-tax wage of $25.63/hour based on 
the report ``Valuing Time in U.S. Department of Health and Human 
Services Regulatory Impact Analyses: Conceptual Framework and Best 
Practices,'' which identifies the approach for valuing time when 
individuals undertake activities on their own time.\440\ To derive the 
costs for patients (or their representatives), a measurement of the 
usual weekly earnings of wage and salary workers of $1,192 is divided 
by 40 hours to calculate an hourly pre-tax wage rate of $29.80/
hour.\441\ This rate is adjusted downwards by an estimate of the 
effective tax rate for median income households of about 14 percent 
calculated by comparing pre- and post-tax income,\442\ resulting in the 
post-tax hourly wage rate of $25.63/hour. Unlike our state and private 
sector wage adjustments, we are not adjusting beneficiary wages for 
fringe benefits and other indirect costs because the individuals' 
activities, if any, will occur outside the scope of their employment.
---------------------------------------------------------------------------

    \440\ Office of the Assistant Secretary for Planning an 
Evaluation, Valuing Time in U.S. Department of Health and Human 
Services Regulatory Impact Analyses: Conceptual Framework and Best 
Practices, September 17, 2017. Available at https://aspe.hhs.gov/reports/valuing-time-us-departmenthealth-human-services-regulatory-impact-analysesconceptual-framework.
    \441\ Bureau of Labor and Statistics, Usual Weekly Earnings of 
Wage and Salary Workers, First Quarter 2024. Available at https://www.bls.gov/news.release/pdf/wkyeng.pdf. Accessed March 3, 2025.
    \442\ U.S. Census Bureau, Income in the United States: 2023, p. 
43, September 2024. Available at https://www2.census.gov/library/publications/2024/demo/p60-282.pdf.
---------------------------------------------------------------------------

    Therefore, we estimate the removal of this measure would decrease 
the burden by 29 hours (1 hour + 28 hours) at a savings of $773 (28 
hours x $25.63 + 1 hour x $55.38) for 6 PCHs for the FY 2026 program 
year and 103 hours (2 hour + 101 hours) at a savings of $2,699 (101 
hours x $25.63/hour + 2 hours x $55.38/hour) for 11 PCHs for the FY 
2027 program year.
d. Information Collection Burden Estimate for the Proposed Removal of 
the Screen Positive Rate for Social Drivers of Health Measure Beginning 
With the FY 2026 Program Year
    In section X.D.2.b. of the preamble of this proposed rule, we 
propose to remove the Screen Positive Rate for Social Drivers of Health 
measure beginning with the FY 2026 program year. For this measure, PCHs 
are required to report on an annual basis the number of patients who 
screen positive for one or more of the five Social Drivers of Health 
domains divided by the total number of patients screened (reported as 
five separate rates). We estimate each PCH requires 10 minutes (0.167 
hours) annually to report this measure.
    The current burden estimate approved under OMB control number 0938-
1175 is 1 hour (0.167 hours x 6 PCHs) for the FY 2026 program year and 
2 hours annually (0.167 hours x 11 PCHs) beginning with the FY 2027 
program year. Therefore, we estimated the removal of this measure would 
decrease the burden by 1 hours at a savings of $55 (1 hour x $55.38) 
for the FY 2026 program year and 2 hours at a savings of $111 (2 hours 
x $55.38) beginning with the FY 2027 program year.
e. Summary of Information Collection Burden Estimates for the PCHQR 
Program
    In summary, under OMB control number 0938-1175 (expiration November 
30, 2027), we estimate that the policies promulgated in this proposed 
rule would result in a decrease in burden of 107 hours and $2,921. We 
will submit the revised information collection estimates to OMB for 
approval under OMB control number 0938-1175. With respect to any costs/
burdens unrelated to data submission, we refer readers to the 
Regulatory Impact Analysis (section I.L. of Appendix A of this proposed 
rule).

[[Page 18412]]



                  Table XIII.B-03--Summary of PCHQR Program Estimated Information Collection Burden Change for the FY 2026 Program Year
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                                                                                 Previously
                                                   Estimated      Number                   Average       Annual      Proposed    finalized       Net
                                                    time per    reporting    Number of      number       burden       annual       annual     difference
                    Activity                         record      quarters   respondents  records per  (hours) per     burden       burden     in annual
                                                   (minutes)     per year    reporting    respondent   respondent    (hours)      (hours)       burden
                                                                                         per quarter               across PCHs  across PCHs     hours
--------------------------------------------------------------------------------------------------------------------------------------------------------
                     Annual Recordkeeping and Reporting Requirements Under OMB Control Number 0938-1175 for the FY 2026 Program Year
--------------------------------------------------------------------------------------------------------------------------------------------------------
Removal of HCHE Measure.........................       -0.167            1           11            1       -0.167            0            2           -2
Removal of Social Drivers of Health Measure            -0.033            1          828            1        -.033            0           28          -28
 (Patient Screening)............................
Removal of Social Drivers of Health Measure            -0.167            1            6            1       -0.167            0            1           -1
 (Measure Reporting)............................
Removal of Screen Positive for Social Drivers of       -0.167            1            6            1       -0.167            0            1           -1
 Health Measure.................................
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                Total Change in Information Collection Burden Hours: -32.
                                Total Cost Estimate: Updated Hourly Wage (Varies) x Change in Burden Hours (-32) = -$939.
--------------------------------------------------------------------------------------------------------------------------------------------------------


                  Table XIII.B-04--Summary of PCHQR Program Estimated Information Collection Burden Change for the FY 2027 Program Year
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                                                                                 Previously
                                                   Estimated      Number                   Average       Annual      Proposed    finalized       Net
                                                    time per    reporting    Number of      number       burden       annual       annual     difference
                    Activity                         record      quarters   respondents  records per  (hours) per     burden       burden     in annual
                                                   (minutes)     per year    reporting    respondent   respondent    (hours)      (hours)       burden
                                                                                         per quarter               across PCHs  across PCHs     hours
--------------------------------------------------------------------------------------------------------------------------------------------------------
                     Annual Recordkeeping and Reporting Requirements Under OMB Control Number 0938-1175 for the FY 2027 Program Year
--------------------------------------------------------------------------------------------------------------------------------------------------------
Removal of HCHE Measure.........................       -0.167            1           11            1       -0.167            0            2           -2
Removal of Social Drivers of Health Measure            -0.033            1        3,025            1        -.033            0          101         -101
 (Patient Screening)............................
Removal of Social Drivers of Health Measure            -0.167            1           11            1       -0.167            0            2           -2
 (Measure Reporting)............................
Removal of Screen Positive for Social Drivers of       -0.167            1           11            1       -0.167            0            2           -2
 Health Measure.................................
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                               Total Change in Information Collection Burden Hours: -107.
                              Total Cost Estimate: Updated Hourly Wage (Varies) x Change in Burden Hours (-107) = -$2,921.
--------------------------------------------------------------------------------------------------------------------------------------------------------

6. ICRs for the Long-Term Care Hospital Quality Reporting Program (LTCH 
QRP)
    As required by section 1886(m)(5)(A)(i) of the Act, an LTCH that 
does not meet the requirements of the LTCH QRP for a fiscal year will 
receive a 2-percentage point reduction to its otherwise applicable 
annual update for that fiscal year. We estimate that the burden 
associated with the LTCH QRP is the time and effort associated with 
complying with the requirements of the LTCH QRP. In section X.E.4 of 
the preamble of this proposed rule, we are proposing to amend the LTCH 
QRP reconsideration request policy and process. As we noted in the 
FY2016 IPPS/LTCH PPS Final rule (80 FR 49755), we believe the 
reconsideration requirements, and the associated burden would be 
incurred subsequent to an administrative action. In accordance with the 
implementing regulations for the PRA (5 CFR 1320.4(a)(2) and (c)), the 
burden associated with any information collected subsequent to the 
administrative action is exempt from the requirements of the PRA. 
However, we have provided detailed cost burden estimates in section 
I.M. of Appendix A of this proposed rule. We welcome public comments on 
the accuracy of the cost estimate assigned to this administrative 
burden.
a. Information Collection Burden Estimate for the Proposed Modification 
of Reporting Requirements for the COVID-19 Vaccine: Percent of 
Patients/Residents Who Are Up to Date Measure Beginning With the FY 
2028 LTCH QRP
    In section X.E.3. of the preamble of this proposed rule, we propose 
to modify reporting requirements for the COVID-19 Vaccine: Percent of 
Patients/Residents Who Are Up to Date (Patient/Resident COVID-19 
Vaccine) measure to exclude patients who have expired in the LTCH 
beginning with the FY 2028 LTCH QRP. Version 5.1 of the LCDS, which 
includes the Patient/Resident COVID-19 Vaccine item (O0350) for 
purposes of reporting the Patient/Resident COVID-19 Vaccine measure, 
has been approved under OMB control number 0938-1163 (Expiration date: 
12/31/2027). To implement the proposed modification to this measure, we 
also propose to remove the related Patient/Resident COVID-19 Vaccine 
Status item (O0350) from the LTCH Continuity Assessment Record and 
Evaluation (CARE) Data Set (LCDS) form used for patients who have 
expired. The remaining LCDS forms used for Planned Discharge and 
Unplanned Discharge would continue to include the Patient/Resident 
COVID-19 Vaccine Status item (O0350) for purposes of collecting and 
reporting data on the COVID-19 Vaccine: Percent of Patients/Residents 
Who Are Up to Date measure. The following is a discussion of this 
information collection.
    If our proposal in section X.E.3. is finalized, LTCHs would no 
longer be required to collect information and report the Patient COVID-
19 Vaccination Status item on the LCDS form used for patients who have 
expired in the LTCH. This would result in a decrease of 0.005 hours 
(0.3 minutes/60

[[Page 18413]]

minutes) of clinical staff time on the LCDS form used for expired 
patients. We identified the staff type based on past LTCH burden 
calculations, and our assumptions are based on the staff type generally 
necessary to perform an assessment.
    Using data collected for FY 2024, we estimate 130,050 total 
admissions and 6,503 expired assessments from 330 LTCHs annually. This 
equates to a decrease of 33 hours for all LTCHs (6,503 x 0.005 hour) 
and 0.10 hours per LTCH.
    We estimate that the item on the LCDS would be completed equally by 
a Registered Nurse (RN) and a Licensed Practical and Licensed 
Vocational Nurse (LPN/LVN). However, LTCHs determine the staffing 
resources necessary. For the purposes of calculating the costs 
associated with the collection of information requirements, we obtained 
median hourly wages for these staff from the U.S. Bureau of Labor 
Statistics' (BLS) May 2023 National Occupational Employment and Wage 
Estimates. To account for other indirect costs and fringe benefits, we 
doubled the hourly wage. These amounts are detailed in Table XIII.B-05. 
We established a composite cost estimate using our adjusted wage 
estimates. The composite estimate of $70.10/hour was calculated by 
weighting each adjusted hourly wage equally (that is, 50 percent) 
[($82.76 x 0.5) + ($57.44 x 0.5) = $70.10].

    Table XIII.B-05--U.S. Bureau of Labor and Statistics' May 2023 National Occupational Employment and Wage
                                                    Estimates
----------------------------------------------------------------------------------------------------------------
                                                                                   Overhead and      Adjusted
                Occupation title                    Occupation     Median hourly  fringe benefit  hourly wage ($/
                                                       code        wage ($/hour)     ($/hour)          hour)
----------------------------------------------------------------------------------------------------------------
Registered Nurse (RN)...........................         29-1141          $41.38          $41.38          $82.76
Licensed Practical Nurse/Licensed Vocational             29-2061           28.72           28.72           57.44
 Nurse (LPN/LVN)................................
----------------------------------------------------------------------------------------------------------------

    We estimate that the burden and cost for LTCHs for complying with 
data collection and reporting requirements for the FY 2028 LTCH QRP 
would decrease under this proposal. Using FY 2024 data, we estimate a 
total of 6,503 expired assessments from 330 LTCHs annually for a 
decrease of 33 hours for all LTCHs (6,503 x 0.005 hour) and 0.10 hours 
per LTCH. Given 33 hours at $70.10 per hour, we estimate the total cost 
will be decreased by $2,313.30 (33 hours x $70.10 per hour) for all 
LTCHs annually, or $7.01 per LTCH (2,279.13 / 330 LTCHs) annually.
b. Information Collection Burden Estimate for the Proposed Removal of 
Four Standardized Patient Assessment Data Elements Beginning With the 
FY 2028 LTCH QRP
    In section X.E.4 of the preamble of this proposed rule, we propose 
to remove four standardized patient assessment data elements from the 
LCDS, with respect to admission, effective October 1, 2026.
    We identified the staff type based on past LTCH burden 
calculations, and our assumptions are based on the categories generally 
necessary to perform an assessment. We believe that the items would be 
completed equally by a Registered Nurse (RN) and a Licensed Practical 
and Licensed Vocational Nurse (LPN/LVN). However, LTCHs determine the 
staffing resources necessary.
    For the purposes of calculating the costs associated with the 
collection of information requirements, we obtained median hourly wages 
for these staff from the U.S. Bureau of Labor Statistics' (BLS) May 
2023 National Occupational Employment and Wage Estimates.\443\ To 
account for other indirect costs and fringe benefits, we doubled the 
hourly wage. These amounts are detailed in Table XIII.B-06. We 
established a composite cost estimate using our adjusted wage 
estimates. The composite estimate of $70.10/hr was calculated by 
weighting each adjusted hourly wage equally (that is, 50 percent) 
[($82.76 x 0.5) + ($57.44 x 0.5) = $70.10].
---------------------------------------------------------------------------

    \443\ U.S. Bureau of Labor Statistics' (BLS) May 2023 National 
Occupational Employment and Wage Estimates. https://www.bls.gov/oes/current/oes_nat.htm.

    Table XIII.B-06--U.S. Bureau of Labor and Statistics' May 2023 National Occupational Employment and Wage
                                                    Estimates
----------------------------------------------------------------------------------------------------------------
                                                                                   Overhead and      Adjusted
                Occupation title                    Occupation     Median hourly  fringe benefit  hourly wage ($/
                                                       code        wage ($/hour)     ($/hour)          hour)
----------------------------------------------------------------------------------------------------------------
Registered Nurse (RN)...........................         29-1141          $41.38          $41.38          $82.76
Licensed Practical Nurse/Licensed Vocational             29-2061           28.72           28.72           57.44
 Nurse (LPN/LVN)................................
----------------------------------------------------------------------------------------------------------------

    We estimate that the burden and cost for LTCHs for complying with 
requirements of the FY 2028 LTCH QRP would decrease under this 
proposal. We estimate that the removal of these four standardized 
patient assessment data elements will result in a decrease of 1.2 
minutes (0.3 minutes x 4), or 0.02 hours (1.2 / 60). Using FY 2024 
data, we estimate a total of 130,050 admissions from 330 LTCHs annually 
for a decrease of 2,601 hours in burden for all LTCHs (130,050 x 0.02 
hour), or a decrease of 7.88 hours per LTCH (2,601 / 330 LTCHs). Given 
7.88 hours at $70.10 per hour, we estimate the total cost will be 
decreased by $552.39 (7.88 x $70.10)

[[Page 18414]]

annually, or $182,330.100 ($552.39 x 330 LTCHs) for all LTCHs annually.
c. Summary of Information Collection Burden Estimates for the LTCH QRP 
Program
    As described in Table XIII.B-07, under OMB control number 0938-
1163, we estimate that our proposals set forth in this proposed rule 
for the LTCH QRP, if finalized, would result in an overall decrease of 
7.98 hours per LTCH, or 2,633.51 hours annually for 330 LTCHs. The 
total cost decrease related to this information collection is estimated 
at approximately -$180,016.80, or $545.51 per LTCH. The decrease in 
burden would be accounted for in a revised information collection 
request under OMB control number 0938-1163.

                         Table XIII.B-07--Estimated LTCH QRP Program Impacts for FY 2028
----------------------------------------------------------------------------------------------------------------
                                                          Per LTCH                         All LTCHs
                                              ------------------------------------------------------------------
                 Requirement                      Change in                       Change in
                                                annual burden     Change in     annual burden   Change in annual
                                                    hours        annual cost        hours             cost
----------------------------------------------------------------------------------------------------------------
Estimated change in burden associated with              -0.10          -$7.01             -33         -$2,313.30
 removal of one item collected on expired
 assessment beginning with the FY 2028 LTCH
 QRP.........................................
Estimated change in burden associated with              -7.88         -552.52          -2,601        -182,330.10
 removal of four items collected on admission
 assessment beginning with the FY 2028 LTCH
 QRP.........................................
Total estimated change in burden for the FY             -7.98         -545.51       -2,633.51        -180,016.80
 2028 LTCH QRP...............................
----------------------------------------------------------------------------------------------------------------

    We invite public comments on the proposed modification to 
information collection requirements for LTCH QRP beginning with the FY 
2028 LTCH QRP.
7. ICRs for the Medicare Promoting Interoperability Program
a. Background
    OMB has currently approved 30,151 hours of burden at a cost of 
$1,571,474 under OMB control number 0938-1278 (expiration date April 
30, 2027), accounting for information collection burden experienced by 
approximately 3,150 eligible hospitals and 1,400 CAHs for the 
electronic health record (EHR) reporting period in CY 2025. The 
collection of information burden analysis in this proposed rule focuses 
on all eligible hospitals and CAHs that could participate in the 
Medicare Promoting Interoperability Program and report the objectives 
and measures, and report electronic Clinical Quality Measures (eCQMs), 
under the Medicare Promoting Interoperability Program for the EHR 
reporting periods in CY 2026 through CY 2027.
    For more detailed information on our proposals for the Hospital IQR 
Program, we refer readers to section X.C. of the preamble of this 
proposed rule. For the Medicare Promoting Interoperability Program, we 
proposed to adopt a new optional bonus measure under the Public Health 
and Clinical Data Exchange objective for health information exchange 
with a public health agency (PHA) that occurs using the Trusted 
Exchange Framework and Common Agreement (TEFCA), and where the eligible 
hospital or CAH meets certain additional requirements, beginning with 
the EHR reporting period in CY 2026. We also proposed to modify two 
measures: (1) the Safety Assurance Factors for Electronic Health Record 
Resilience (SAFER) Guides measure, which we proposed to modify by 
requiring eligible hospitals and CAHs to attest ``yes'' to completing 
an annual self-assessment using the SAFER Guides published in January 
2025 beginning with the EHR reporting period in CY 2026; and (2) the 
Security Risk Analysis measure, which we proposed to modify to require 
eligible hospitals and CAHs to attest ``yes'' to having conducted 
security risk management as required under the HIPAA Security Rule 
beginning with the EHR reporting period in CY 2026. We also proposed to 
define the EHR reporting period in CY 2026 and subsequent years as a 
minimum of any continuous 180-day period within that CY for eligible 
hospitals and CAHs participating in the Medicare Promoting 
Interoperability Program.
    Using the most recent data, the May 2023 National Occupational 
Employment and Wage Estimates (OEWS) from the BLS, we propose to use 
the mean hourly wage for medical records specialists (SOC 29-2072) for 
the industry, ``general medical and surgical hospitals,'' which is 
$27.69.\444\ We believe the industry of ``general medical and surgical 
hospitals'' is more specific to this program compared to other 
industries under medical records specialists, such as ``office of 
physicians'' or ``nursing care facilities.'' We calculated the cost of 
overhead, including fringe benefits, at 100 percent of the mean hourly 
wage, consistent with previous years. This is necessarily a rough 
adjustment, both because fringe benefits and overhead costs vary 
significantly by employer and methods of estimating these costs vary 
widely in the literature. Nonetheless, we believe that doubling the 
hourly wage rate ($27.69 x 2 = $55.38) to estimate total cost is a 
reasonably accurate estimation method. Accordingly, unless otherwise 
specified, we calculate the cost burden to eligible hospitals and CAHs 
using a wage plus benefits estimate of $55.38 per hour throughout the 
discussion in this section of the preamble of this proposed rule for 
the Medicare Promoting Interoperability Program. If BLS releases 
updated wage rates after this proposed rule appears in the Federal 
Register and before the final rule appears in the Federal Register, we 
will maintain the wage rates used in this proposed rule.
---------------------------------------------------------------------------

    \444\ U.S. Bureau of Labor Statistics. Occupational Outlook 
Handbook, Medical Records Specialists. Accessed November 27, 2024. 
Available at: https://www.bls.gov/oes/current/oes292072.htm.
---------------------------------------------------------------------------

    In the FY 2025 IPPS/LTCH PPS final rule (89 FR 69903), our burden 
estimates were based on an assumption of 4,550 eligible hospitals and 
CAHs. For this FY 2026 proposed rule, based on data from the EHR 
reporting period in CY 2023, we continue to estimate approximately 
3,150 eligible hospitals and 1,400 CAHs will report data to the 
Medicare Promoting Interoperability Program for the EHR reporting 
period in CY 2026, for a total number of 4,550 respondents.

[[Page 18415]]

b. Information Collection Burden for the Proposed Adoption of a New 
Optional Bonus Measure Under the Public Health and Clinical Data 
Exchange Objective Beginning With the EHR Reporting Period in CY 2026
    In section X.F.5. of the preamble of this proposed rule, we are 
proposing to adopt a new optional bonus measure under the Public Health 
and Clinical Data Exchange objective for reporting data to a PHA using 
TEFCA, and where the eligible hospital or CAH meets certain additional 
requirements, beginning with the EHR reporting period in CY 2026.
    As part of the Public Health and Clinical Data Exchange objective, 
eligible hospitals and CAHs can receive credit for attesting to up to 
one optional bonus measure. While eligible hospitals and CAHs can 
attest to more than one optional bonus measure, we assumed they will 
not attest to more than one because they cannot receive any additional 
credit for doing so. Under OMB control number 0938-1278, our currently 
approved burden estimates include 0.5 minutes for eligible hospitals 
and CAHs to attest to one of the previously finalized optional bonus 
measures (the Public Health Registry measure and the Clinical Data 
Registry Reporting measure) under this objective. As a result, we 
estimate no additional burden for eligible hospitals and CAHs that 
elect to instead attest to this new optional bonus measure.
c. Information Collection Burden for the Proposed Modification of the 
SAFER Guides measure Beginning With the EHR Reporting Period in CY 2026
    In section X.F.4. of the preamble of this proposed rule, we are 
proposing to modify the SAFER Guides measure by requiring eligible 
hospitals and CAHs to attest ``yes'' to completing an annual self-
assessment using the SAFER Guides published in January 2025 beginning 
with the EHR reporting period in CY 2026.
    In the FY 2022 IPPS/LTCH PPS final rule, we adopted the SAFER 
Guides measure and required eligible hospitals and CAHs to attest 
``yes'' or ``no'' as to whether they completed an annual self-
assessment on each of the nine SAFER Guides at any point during the CY 
in which their EHR reporting period occurs (86 FR 45479 through 45481). 
In the FY 2024 IPPS/LTCH PPS final rule, we finalized a requirement for 
eligible hospitals and CAHs to attest ``yes'' to fulfill the measure 
and discussed the associated costs for eligible hospitals and CAHs to 
conduct a SAFER Guides self-assessment (88 FR 59262 through 59265; 
59432 and 59433). In this proposed rule, because we are not proposing 
an additional attestation, but instead propose to modify one that was 
previously finalized, this proposal would not result in any changes to 
the information collection burden currently approved under OMB control 
number 0938-1278.
d. Information Collection Burden for the Proposed Modification of the 
Security Risk Analysis Measure Beginning With the EHR Reporting Period 
in CY 2026
    In section X.F.3. of the preamble of this proposed rule, we are 
proposing to modify the Security Risk Analysis measure by adding a 
requirement for eligible hospitals and CAHs to attest ``yes'' to having 
conducted security risk management as required under the HIPAA Security 
Rule at 45 CFR 164.308(a)(1)(ii)(B) beginning with the EHR reporting 
period in CY 2026.
    The currently approved burden estimate under OMB control number 
0938-1278 for eligible hospitals and CAHs to conduct or review a 
security risk analysis, including addressing the security (to include 
encryption) of data created or maintained by CEHRT, implementing 
security updates as necessary, and correcting identified security 
deficiencies as part of the eligible hospital's or CAH's risk 
management process is approximately 6 hours annually as currently 
approved under OMB control number 0938-1278. Given the negligible 
additional effort associated with this proposal compared to the 
currently approved burden estimate, we propose that the currently 
approved burden estimate is sufficient to include the proposed 
attestation and do not propose any changes to the information 
collection burden currently approved under OMB control number 0938-
1278.
e. Information Collection Burden for the Proposal to Define the EHR 
Reporting Period in CY 2026 and Subsequent Years as a Minimum of Any 
Continuous 180-Day Period Within That CY
    In section X.F.2. of the preamble of this proposed rule, we are 
proposing to define the EHR reporting period in CY 2026 and subsequent 
years as a minimum of any continuous 180-day period within that CY for 
eligible hospitals and CAHs participating in the Medicare Promoting 
Interoperability Program. As this is the current requirement for the 
EHR reporting period in CY 2025 as finalized in the FY 2024 IPPS/LTCH 
PPS final rule (88 FR 59259 through 59260), this proposal would not 
result in any changes to the information collection burden currently 
approved under OMB control number 0938-1278.
f. Summary of Estimates Used To Calculate the Collection of Information 
Burden
    In summary, under OMB control number 0938-1278 (expiration date 
April 30, 2027), we estimate that the policies in this proposed rule 
would not result in a change in information collection burden. With 
respect to any costs/burdens unrelated to data submission, we refer 
readers to the Regulatory Impact Analysis (section I.N. of Appendix A 
of this proposed rule).
8. ICRs for the Transforming Episode Accountability Model
    In section XI.A. of the preamble of this proposed rule, we discuss 
testing the Transforming Episode Accountability Model (TEAM), finalized 
in the FY 2025 IPPS/LTCH PPS final rule (89 FR 68986), and propose 
updates to the model under the authority of the CMS Innovation Center. 
Section 1115A of the Act authorizes the CMS Innovation Center to test 
innovative payment and service delivery models to reduce program 
expenditures while preserving or enhancing the quality of care 
furnished to Medicare, Medicaid, and Children's Health Insurance 
Program beneficiaries. As stated in section 1115A(d)(3) of the Act, 
chapter 35 of title 44, United States Code, shall not apply to the 
testing and evaluation of models under section 1115A of the Act. As a 
result, the information collection requirements contained in this 
proposed rule for TEAM need not be reviewed by the Office of Management 
and Budget.

XIV. Response to Comments

    Because of the large number of public comments we normally receive 
on Federal Register documents, we are not able to acknowledge or 
respond to them individually. We will consider all comments we receive 
by the date and time specified in the DATES section of this preamble, 
and, when we proceed with a subsequent document, we will respond to the 
comments in the preamble to that document.
    Stephanie Carlton, Acting Administrator of the Centers for Medicare 
& Medicaid Services, approved this document on April 8, 2025.

List of Subjects

42 CFR Part 412

    Administrative practice and procedure, Health facilities, Medicare, 
Puerto Rico, Reporting and recordkeeping requirements.

[[Page 18416]]

42 CFR Part 413

    Diseases, Health facilities, Medicare, Puerto Rico, Reporting and 
recordkeeping requirements.

42 CFR Part 495

    Administrative practice and procedure, Health facilities, Health 
maintenance organizations (HMO), Health professions, Health records, 
Medicaid, Medicare, Penalties, Privacy, Reporting and recordkeeping 
requirements.

42 CFR Part 512

    Administrative practice and procedure, Health care, Health 
facilities, Health insurance, Intergovernmental relations, Medicare, 
Penalties, Reporting and recordkeeping requirements.

    For the reasons set out in the preamble, 42 CFR parts 412, 413, 
495, and 512 are proposed to be amended as follows:

PART 412--PROSPECTIVE PAYMENT SYSTEMS FOR INPATIENT HOSPITAL 
SERVICES

0
1. The authority citation for part 412 continues to read as follows:

    Authority:  42 U.S.C. 1302 and 1395hh.

0
2. Section 412.24 is amended by revising paragraphs (e) and (f) to read 
as follows:


Sec.  412.24  Requirements under the PPS-Exempt Cancer Hospital Quality 
Reporting (PCHQR) Program.

* * * * *
    (e) Extraordinary circumstances exceptions (ECEs)--(1) General 
rule. CMS may grant an ECE with respect to the reporting requirements 
under this section in the event of extraordinary circumstances beyond 
the control of the PCH. For purposes of this paragraph (e), an 
extraordinary circumstance is an event beyond the control of a PCH (for 
example, a natural or man-made disaster such as a hurricane, tornado, 
earthquake, terrorist attack, or bombing) that affected the ability of 
the PCH to comply with one or more applicable reporting requirements 
with respect to a fiscal year.
    (2) Process for requesting an ECE. (i) A PCH may request an ECE 
within 30 calendar days of the date that the extraordinary circumstance 
occurred by submitting the information specified by CMS at QualityNet 
or a successor website.
    (ii) CMS notifies the PCH of its decision on the request, in 
writing, via email. In the event that CMS grants an ECE to the PCH, the 
written decision specifies whether the PCH is exempted from one or more 
reporting requirements or whether CMS has granted the PCH an extension 
of time to comply with one or more reporting requirements.
    (3) Authority to Grant an ECE. (i) CMS may grant an ECE to one or 
more PCHs that have not requested an ECE if CMS determines that--
    (A) A systemic problem with a CMS data collection system directly 
impacted the ability of the PCH to comply with a quality data reporting 
requirement; or
    (B) An extraordinary circumstance has affected an entire region or 
locale.
    (ii) Any ECE granted under this paragraph (e)(3) specifies whether 
the affected PCHs are exempted from one or more reporting requirements 
or whether CMS has granted the PCHs an extension of time to comply with 
one or more reporting requirements.
    (f) Public reporting of PCHQR Program data. CMS makes data 
submitted by PCHs under the PCHQR Program available to the public on 
CMS websites. Prior to making any such data submitted by a PCH 
available to the public, CMS gives the PCH an opportunity to review the 
data via the Hospital Quality Reporting (HQR) system and announces the 
timeline for review on the QualityNet website and applicable listservs.
0
3. Section 412.85 is amended by revising the section heading and 
paragraphs (b) and (c) to read as follows:


Sec.  412.85  Payment adjustment for certain immunotherapy cases.

* * * * *
    (b) Discharges subject to payment adjustment. Payment is adjusted 
in accordance with paragraph (c) of this section for discharges 
assigned to MS-DRG 018 involving expanded access use of immunotherapy 
or that are part of an applicable clinical trial as determined by CMS 
based on the reporting of a diagnosis code indicating the encounter is 
part of a clinical research program on the claim for the discharge or, 
for discharges occurring on or after October 1, 2025, other cases where 
the immunotherapy product is not purchased in the usual manner, such as 
provided at no cost.
    (c) Adjustment. The DRG weighting factor determined under Sec.  
412.60(b) is adjusted by a factor that reflects the average cost for 
cases assigned to MS-DRG 018 that involve expanded access use of 
immunotherapy, are part of an applicable clinical trial, or where the 
immunotherapy product is not purchased in the usual manner, such as 
provided at no cost, to the average cost for all other cases assigned 
to MS-DRG 018.


Sec.  412.90  [Amended]

0
4. Section 412.90 is amended in paragraph (j) by removing the date 
``January 1, 2025'' and adding in its place the date ``October 1, 
2025''.


Sec.  412.101  [Amended]

0
5. Section 412.101 is amended by--
0
a. In paragraph (b)(2)(i), removing the phrase ``FY 2010, the portion 
of FY 2025 beginning on January 1, 2025 and subsequent fiscal years,'' 
and adding in its place the phrase ``FY 2010 and FY 2026 and subsequent 
years,'';
0
b. In paragraph (b)(2)(iii), removing the phrase ``FY 2024 and the 
portion of FY 2025 beginning on October 1, 2024, and ending on December 
31, 2024,'' and adding in its place the phrase ``FY 2025,'';
0
c. In paragraph (c)(1), removing the phrase ``FY 2010, the portion of 
FY 2025 beginning on January 1, 2025, and subsequent fiscal years,'' 
and adding in its place the phrase '' FY 2010 and FY 2026 and 
subsequent years,''; and
0
d. In paragraph (c)(3) introductory text, removing the phrase ``FY 2024 
and the portion of FY 2025 beginning on October 1, 2024, and ending on 
December 31, 2024,'' and adding in its place ``FY 2025,''.


Sec.  412.108  [Amended]

0
6. Section 412.108 is amended by--
0
a. In paragraph (a)(1) introductory text, removing the date ``January 
1, 2025'' and adding in its place the date ``October 1, 2025''; and
0
b. In paragraph (c)(2)(iii) introductory text, removing the date 
``January 1, 2025'' and adding in its place the date ``October 1, 
2025''.
0
7. Section 412.140 is amended by revising paragraph (c)(2) to read as 
follows:


Sec.  412.140  Participation, data submission, and validation 
requirements under the Hospital Inpatient Quality Reporting (IQR) 
Program.

* * * * *
    (c) * * *
    (2) Extraordinary circumstance exception (ECE)--(i) General rule. 
CMS may grant an ECE with respect to the reporting requirements under 
this section in the event of extraordinary circumstances beyond the 
control of the hospital. For purposes of this paragraph (c)(2), an 
extraordinary circumstance is an event beyond the control of a hospital 
(for example, a natural or man-made disaster such as a hurricane, 
tornado, earthquake, terrorist attack, or bombing) that affected the 
ability of the hospital to comply with one or more applicable reporting 
requirements with respect to a fiscal year.

[[Page 18417]]

    (ii) Process for requesting an ECE. (A) A hospital may request an 
ECE within 30 calendar days of the date that the extraordinary 
circumstance occurred by submitting the information specified by CMS at 
QualityNet or a successor website.
    (B) CMS notifies the hospital of its decision on the request, in 
writing, via email. In the event that CMS grants an ECE to the 
hospital, the written decision specifies whether the hospital is 
exempted from one or more reporting requirements or whether CMS has 
granted the hospital an extension of time to comply with one or more 
reporting requirements.
    (iii) Authority to Grant an ECE. CMS may grant an ECE to one or 
more hospitals that have not requested an ECE if CMS determines that--
    (A) A systemic problem with a CMS data collection system directly 
impacted the ability of the hospital to comply with a quality data 
reporting requirement; or
    (B) An extraordinary circumstance has affected an entire region or 
locale. Any ECE granted under this paragraph (c)(2)(iii) specifies 
whether the affected hospitals are exempted from one or more reporting 
requirements or whether CMS has granted the hospitals an extension of 
time to comply with one or more reporting requirements.
* * * * *
0
8. Section 412.152 is amended by--
0
a. In the definition of ``Applicable period''--
0
i. Revising the introductory text;
0
ii. Removing the word ``and'' at the end of paragraph (1);
0
iii. Removing the period at the end of paragraph (2) and adding in its 
place ``; and''; and
0
iv. Adding paragraph (3); and
0
b. In the definition of ``Applicable period for dual eligibility,'' 
removing the phrase ``3-year data period'' and adding in its place the 
phrase ``2-year or 3-year data period''.
    The revision and addition read as follows:


Sec.  412.152  Definitions for the Hospital Readmissions Reduction 
Program.

* * * * *
    Applicable period is, with respect to a fiscal year, the 2-year or 
3-year period (specified by the Secretary) from which data are 
collected in order to calculate excess readmission ratios and 
adjustments under the Hospital Readmissions Reduction Program.
* * * * *
    (3) Beginning with the FY 2027 program year, the applicable period 
is the 2-year period advanced by 1-year from the prior year's period 
from which data are collected in order to calculate excess readmission 
ratios and adjustments under the Hospital Readmissions Reduction 
Program, unless otherwise specified by the Secretary.
* * * * *
0
9. Section 412.154 is amended by adding paragraph (d) to read as 
follows:


Sec.  412.154  Payment adjustments under the Hospital Readmissions 
Reduction Program.

* * * * *
    (d) Extraordinary circumstance exception (ECE)--(1) General rule. 
CMS may grant an ECE with respect to the reporting requirements under 
this section in the event of extraordinary circumstances beyond the 
control of the hospital. For purposes of this paragraph (d), an 
extraordinary circumstance is an event beyond the control of a hospital 
(for example, a natural or man-made disaster such as a hurricane, 
tornado, earthquake, terrorist attack, or bombing) that affected the 
ability of the hospital to comply with one or more applicable reporting 
requirements with respect to a fiscal year.
    (2) Process for requesting an ECE. (i) A hospital may request an 
ECE within 30 calendar days of the date that the extraordinary 
circumstance occurred by submitting the information specified by CMS at 
QualityNet or a successor website.
    (ii) CMS notifies the hospital of its decision on the request, in 
writing, via email. In the event that CMS grants an ECE to the 
hospital, the written decision specifies whether the hospital is 
exempted from one or more reporting requirements or whether CMS has 
granted the hospital an extension of time to comply with one or more 
reporting requirements.
    (3) Authority to Grant an ECE. CMS may grant an ECE to one or more 
hospitals that have not requested an ECE if CMS determines that a 
systemic problem with a CMS data collection system directly impacted 
the ability of the hospital to comply with a quality data reporting 
requirement, or that an extraordinary circumstance has affected an 
entire region or locale. Any ECE granted under this paragraph (d)(3) 
specifies whether the affected hospitals are exempted from one or more 
reporting requirements or whether CMS has granted the hospitals an 
extension of time to comply with one or more reporting requirements.
* * * * *


Sec.  412.160  [Amended]

0
10. Section 412.160 is amended by removing the definition of ``Health 
equity adjustment bonus points.''
0
11. Section 412.165 is amended by--
0
a. Removing paragraph (b)(5);
0
b. Redesginating paragraph (b)(6) as paragraph (b)(5);
0
c. Revising newly redesignated paragraph (b)(5) and paragraph (c).
    The revisions read as follows:


Sec.  412.165  Performance scoring under the Hospital Value-Based 
Purchasing (VBP) Program.

* * * * *
    (b) * * *
    (5) The hospital's Total Performance Score for the fiscal year is 
the sum of the weighted domain scores up to a maximum score of 100.
    (c) Extraordinary circumstance exception (ECE)--(1) General rule. 
CMS may grant an ECE with respect to the reporting requirements under 
this section in the event of extraordinary circumstances beyond the 
control of the hospital. For purposes of this paragraph (c), an 
extraordinary circumstance is an event beyond the control of a hospital 
(for example, a natural or man-made disaster such as a hurricane, 
tornado, earthquake, terrorist attack, or bombing) that affected the 
ability of the hospital to comply with one or more applicable reporting 
requirements with respect to a fiscal year.
    (2) Process for requesting an ECE. (i) A hospital may request an 
ECE within 30 calendar days of the date that the extraordinary 
circumstance occurred by submitting the information specified by CMS at 
QualityNet or a successor website.
    (ii) CMS notifies the hospital of its decision on the request, in 
writing, via email. In the event that CMS grants an ECE to the 
hospital, the written decision will specify whether the hospital is 
exempted from one or more reporting requirements or whether CMS has 
granted the hospital an extension of time to comply with one or more 
reporting requirements.
    (3) Authority to Grant an ECE. CMS may grant an ECE to one or more 
hospitals that have not requested an ECE if CMS determines that a 
systemic problem with a CMS data collection system directly impacted 
the ability of the hospital to comply with a quality data reporting 
requirement or that an extraordinary circumstance has affected an 
entire region or locale. Any ECE granted under this paragraph (c)(3) 
specifies whether the affected hospitals are exempted from one or more 
reporting requirements or whether CMS has granted the hospitals an 
extension of time to comply with one or more reporting requirements.
0
12. Section 412.172 is amended by adding paragraph (c) to read as 
follows:

[[Page 18418]]

Sec.  412.172  Payment adjustments under the Hospital-Acquired 
Condition Reduction Program.

* * * * *
    (c) Extraordinary circumstance exception (ECE)--(1) General rule. 
CMS may grant an ECE with respect to the reporting requirements under 
this section in the event of extraordinary circumstances beyond the 
control of the hospital. For purposes of this paragraph (c), an 
extraordinary circumstance is an event beyond the control of a hospital 
(for example, a natural or man-made disaster such as a hurricane, 
tornado, earthquake, terrorist attack, or bombing) that affected the 
ability of the hospital to comply with one or more applicable reporting 
requirements with respect to a fiscal year.
    (2) Process for requesting an ECE. (i) A hospital may request an 
ECE within 30 calendar days of the date that the extraordinary 
circumstance occurred by submitting the information specified by CMS at 
QualityNet or a successor website.
    (ii) CMS notifies the hospital of its decision on the request, in 
writing, via email. In the event that CMS grants an ECE to the 
hospital, the written decision specifies whether the hospital is 
exempted from one or more reporting requirements or whether CMS has 
granted the hospital an extension of time to comply with one or more 
reporting requirements.
    (3) Authority to grant an ECE. CMS may grant an ECE to one or more 
hospitals that have not requested an ECE if CMS determines that a 
systemic problem with a CMS data collection system directly impacted 
the ability of the hospital to comply with a quality data reporting 
requirement, or that an extraordinary circumstance has affected an 
entire region or locale. Any ECE granted under this paragraph (c)(3) 
will specify whether the affected PCHs are exempted from one or more 
reporting requirements or whether CMS has granted the PCHs an extension 
of time to comply with one or more reporting requirements.
* * * * *
0
13. Section 412.273 is amended by--
0
a. Revising the section heading, the definitions of ``Termination'' and 
``Withdrawal'' in paragraph (a), and paragraphs (c)(1), (d), and 
(e)(2); and
0
b. Adding paragraph (e)(3).
    The revisions and addition read as follows:


Sec.  412.273  Withdrawing an application, terminating an approved 3-
year reclassification, or reinstating a previous termination.

    (a) * * *
    Termination refers to the termination of an approved 3-year MGCRB 
reclassification. A termination is effective only for the full fiscal 
year(s) remaining in the 3-year period at the time the request is 
received. Requests for terminations for part of a fiscal year are not 
considered.
    Withdrawal refers to the withdrawal of a 3-year MGCRB 
reclassification where the MGCRB has not yet issued a decision on the 
application.
* * * * *
    (c) * * *
    (1) A request for withdrawal must be received by the MGCRB at any 
time before the MGCRB issues a decision on the application.
* * * * *
    (d) Reapplication within the approved 3-year period, reinstatement 
of terminations, and prohibition on overlapping reclassification 
approvals--(1) Reinstatement of terminations. Subject to the provisions 
of this section, a hospital (or group of hospitals) may cancel a 
termination, effective for the subsequent year, and request the MGCRB 
to reinstate the wage index reclassification for the remaining fiscal 
year(s) of the 3-year period.
    (2) Timing and process of reinstatement request. Reinstatement 
requests must be submitted in writing to the MGCRB according to the 
method prescribed by the MGCRB no later than the deadline for 
submitting reclassification applications for the following fiscal year, 
as specified in Sec.  412.256(a)(2).
    (3) Reapplications. A hospital may apply for reclassification to a 
different area (that is, an area different from the one to which it was 
originally reclassified for the 3-year period). If the application is 
approved, the reclassification will be effective for 3 years. Once a 3-
year reclassification becomes effective, a hospital may no longer 
reinstate a termination of another 3-year reclassification, regardless 
of whether the termination request is made within 3 years from the date 
of the withdrawal or termination.
    (4) Termination of existing 3-year reclassification. In a case in 
which a hospital with an existing 3-year wage index reclassification 
applies to be reclassified to another area, its existing 3-year 
reclassification will be terminated when a second 3-year wage index 
reclassification goes into effect for payments for discharges on or 
after the following October 1. The terminated reclassification in such 
a case is not eligible for reinstatement.
    (e) * * *
    (2) A request to terminate or reinstate an approved individual 
reclassification must be submitted in writing to the MGCRB according to 
the method prescribed by the MGCRB.
    (3) A request to terminate or reinstate an approved group 
reclassification must be submitted in writing to the MGCRB according to 
the method prescribed by the MGCRB.
    (i) A request to terminate or reinstate an approved group 
reclassification that has not yet gone into effect must include all 
hospitals party to the reclassification.
    (ii) Termination requests for group reclassification for the second 
or third year of the 3-year wage index reclassification and 
reinstatement requests for a group reclassification effective for the 
third year of the 3-year wage index reclassification may be submitted 
by an individual hospital that is party to the reclassification.
* * * * *
0
14. Section 412.312 is amended by revising paragraph (f) to read as 
follows:


Sec.  412.312  Payment based on the Federal rate.

* * * * *
    (f) Payment adjustment for certain immunotherapy cases. For 
discharges occurring on or after October 1, 2020, in determining the 
payment amount under this section for certain clinical trial or 
expanded access use immunotherapy cases, or, for discharges occurring 
on or after October 1, 2025, other cases where the immunotherapy 
product is not purchased in the usual manner, such as provided at no 
cost, as described in Sec.  412.85(b), the DRG weighting factor 
described in paragraph (b)(1) of this section is adjusted as described 
in Sec.  412.85(c).
0
15. Section 412.560 is amended by--
0
a. Revising paragraph (d)(3); and
0
b. Adding paragraphs (d)(4) and (5).
    The revision and additions read as follows:


Sec.  412.560  Requirements under the Long-Term Care Hospital Quality 
Reporting Program (LTCH QRP).

* * * * *
    (d) * * *
    (3) CMS decision on reconsideration request. (i) CMS notifies the 
LTCH, in writing, of its final decision regarding any reconsideration 
request through at least one of the following methods:
    (A) CMS designated data submission system.
    (B) The United States Postal Service.
    (C) Via email from the CMS Medicare Administrative Contractor 
(MAC).
    (ii) CMS grants a timely request for reconsideration, and reverses 
an initial finding of non-compliance, only if CMS determines that the 
long-term care hospital was in full compliance with the

[[Page 18419]]

LTCH QRP requirements for the applicable program year.
    (4) Request for an extension to file a reconsideration of 
noncompliance request. A long-term care hospital may request, and CMS 
may grant, an extension to file a reconsideration request if, during 
the period to request a reconsideration as set forth in paragraph 
(d)(2) of this section, the long-term care hospital was affected by an 
extraordinary circumstance beyond the control of the LTCH (for example, 
a natural or man-made disaster).
    (i) The long-term care hospital must submit its request for an 
extension to file a reconsideration request no later than 30 calendar 
days from the date of the written notification of noncompliance.
    (ii) The long-term care hospital must submit its request for an 
extension to CMS via email to [email protected], and 
it must contain the following information:
    (A) The CCN for the long-term care hospital.
    (B) The business name of the long-term care hospital.
    (C) The business address of the long-term care hospital.
    (D) Contact information for the long-term care hospital's chief 
executive officer or designated personnel, including the name, 
telephone number, title, email address, and physical mailing address, 
which may not be a post office box.
    (E) A statement of the reason for the request for the extension.
    (F) Evidence of the impact of the extraordinary circumstances, 
including, for example, photographs, newspaper articles, and other 
media.
    (5) CMS decision on extension to file a reconsideration of 
noncompliance request. CMS notifies the long-term care hospital in 
writing of its final decision regarding its request for an extension to 
file a reconsideration of noncompliance request via an email from CMS.
* * * * *

PART 413--PRINCIPLES OF REASONABLE COST REIMBURSEMENT; PAYMENT FOR 
END-STAGE RENAL DISEASE SERVICES; PROSPECTIVELY DETERMINED PAYMENT 
RATES FOR SKILLED NURSING FACILITIES; PAYMENT FOR ACUTE KIDNEY 
INJURY DIALYSIS

0
16. The authority citation for part 413 continues to read as follows:

    Authority:  42 U.S.C. 1302, 1395d(d), 1395f(b), 1395g, 1395l(a), 
(i), and (n), 1395m, 1395x(v), 1395x(kkk), 1395hh, 1395rr, 1395tt, 
and 1395ww.

0
17. Section 413.85 is amended by revising paragraphs (d)(2)(i) and (ii) 
to read as follows:


Sec.  413.85  Cost of approved nursing and allied health education 
activities.

* * * * *
    (d) * * *
    (2) * * *
    (i) Subject to the provisions of paragraphs (d)(2)(ii) and (iii) of 
this section, the net cost of approved educational activities is 
determined based on all of the following:
    (A) Determine allowable direct costs incurred by the provider for 
trainee stipends and compensation of teachers employed by the provider.
    (B) Subtract from allowable direct costs the revenues the provider 
receives from students or on behalf of students enrolled in the 
program, such as, but not limited to, tuition, student fees, or 
textbooks purchased for resale.
    (C) Add indirect costs of the activities as determined under the 
Medicare cost-finding principles in Sec.  413.24 but limited to 
indirect costs that the provider itself incurs as a consequence of 
operating the approved educational activities.
    (ii) The direct and indirect allowable costs of educational 
activities do not include patient care costs, costs incurred by a 
related organization, or costs that constitute a redistribution of 
costs from an educational institution to a provider or costs that have 
been or are currently being provided through community support.
* * * * *

PART 495--STANDARDS FOR THE ELECTRONIC HEALTH RECORD TECHNOLOGY 
INCENTIVE PROGRAM

0
18. The authority citation for part 495 continues to read as follows:

    Authority:  42 U.S.C. 1302 and 1395hh.

0
19. Section 495.4 is amended in the definition of ``EHR reporting 
period for a payment adjustment year'' by adding paragraphs (2)(x) and 
(3)(x) to read as follows:


Sec.  495.4  Definitions.

* * * * *
    EHR reporting period for a payment adjustment year. * * *
    (2) * * *
    (x) For an eligible hospital in CY 2026 and subsequent years, the 
EHR reporting period is any continuous 180-day period within that 
calendar year and applies for the fiscal year payment adjustment year 
that is 2 years after the calendar year of the EHR reporting period.
    (3) * * *
    (x) For a CAH in CY 2026 and subsequent years, the EHR reporting 
period is any continuous 180-day period within that calendar year and 
applies for the fiscal year payment adjustment year for the calendar 
year of the EHR reporting period.
* * * * *

PART 512--STANDARD PROVISIONS FOR MANDATORY INNOVATION CENTER 
MODELS AND SPECIFIC PROVISIONS FOR CERTAIN MODELS

0
20. The authority citation for part 512 continues to read as follows:

    Authority:  42 U.S.C. 1302, 1315a, and 1395hh.

0
21. The heading for part 512 is revised to read as set forth above.
0
22. Section 512.505 is amended by--
0
a. Removing the definition for ``ADI'';
0
b. Adding definitions for ``APC'' and ``CDI'' in alphabetical order;
0
c. Revising the definition for ``Final normalization factor'';
0
d. Removing the definitions for ``Health equity goal'', ``Health equity 
plan'', ``Health equity plan intervention strategy'', and ``Health 
equity plan performance measure'';
0
e. Revising the definition for ``High-cost outlier cap'';
0
f. Adding definitions for ``Medicare ID'' and ``PECOS'' in alphabetical 
order;
0
g. Revising the definitions for ``Prospective normalization factor'' 
and ``Region'';
0
h. Adding definitions for ``Scaling factor'' and ``Trend year'' in 
alphabetical order; and
0
i. Removing the definition for ``Underserved community''.
    The additions and revisions read as follows:


Sec.  512.505  Definitions.

* * * * *
    APC stands for Ambulatory Payment Classification.
* * * * *
    CDI stands for the Community Deprivation Index.
* * * * *
    Final normalization factor refers to the mean of the benchmark 
price for each MS-DRG/HCPCS episode type and region divided by the mean 
of the risk-adjusted benchmark price for the same MS-DRG/HCPCS episode 
type and region.
* * * * *
    High-cost outlier cap refers to the 99th percentile of regional 
spending for a given MS-DRG/HCPCS episode type, region, and baseline 
year, which is the amount at which episode spending would be capped for 
purposes of determining baseline and performance year episode spending.
* * * * *

[[Page 18420]]

    Medicare ID means the hospital CCN in the PECOS.
* * * * *
    PECOS stands for the Provider Enrollment, Chain, and Ownership 
System.
* * * * *
    Prospective normalization factor refers to the multiplier 
incorporated into the preliminary target price to ensure that the 
average of the total risk-adjusted benchmark price does not exceed the 
average of the total non-risk adjusted benchmark price, calculated as 
set forth in Sec.  512.540(b)(6).
* * * * *
    Region means one of the nine U.S. census divisions, as defined by 
the U.S. Census Bureau, with the U.S. territories included in Census 
Division 9.
* * * * *
    Scaling factor means the ratio of the remapped MS-DRG or HCPCS/APC 
relative weight in the performance year, as applicable, to the original 
MS-DRG or HCPCS/APC relative weight in the baseline period.
* * * * *
    Trend year means either of the 2 years immediately prior to the 3-
year baseline period used in combination with the baseline period to 
calculate the prospective trend factor.
* * * * *
0
23. Section 512.508 is added, under undesignated center heading ``TEAM 
Participation,'' to read as follows:


Sec.  512.508  Mandatory participation.

    (a) General. TEAM participants, as defined in Sec.  512.505, must 
participate in TEAM for the full duration of the model performance 
period, unless CMS terminates TEAM or the TEAM participant receives 
notice of termination from TEAM in accordance with Sec.  512.596.
    (b) New hospital exception. New hospitals with a Medicare ID with 
an initial effective date after December 31, 2024, within the PECOS 
that initiate episodes and are paid under the IPPS with a CCN primary 
address located in one of the mandatory CBSAs selected for 
participation in TEAM in accordance with Sec.  512.515, must 
participate in TEAM at the beginning of the performance year that 
follows one full performance year since their Medicare ID initial 
effective date.
    (1) As described in Sec.  512.550(b)(2)(ii), CMS performs 
reconciliation calculations for any new or surviving TEAM participant 
that results from a TEAM participant's reorganization event, as defined 
in Sec.  512.505, for episodes where the anchor hospitalization 
admission or anchor procedure occurred on or after the effective date 
of the reorganization event. Therefore, new hospitals that result from 
a TEAM participant's reorganization event begin participation in TEAM 
on the effective date of the reorganization event.
    (2) [Reserved]
    (c) Newly qualifying hospital exception. (1) Hospitals that begin 
to satisfy the definition of TEAM participant, as described in Sec.  
512.505, must participate in TEAM at the beginning of the performance 
year that follows one full performance year since the date on which 
they began to satisfy the definition of TEAM participant.
    (2) Hospitals that no longer satisfy the definition of TEAM 
participant, as described in Sec.  512.505, end TEAM participation on 
the date they no longer satisfy the definition.
    (i) CMS notifies hospitals identified in this paragraph (c)(2) 
within 30 days of the hospital no longer satisfying the TEAM 
participant definition or as soon as is reasonably practicable.
    (ii) [Reserved]
    (d) Monitoring. CMS may monitor specifically for the potential 
shifting of patients with high anticipated treatment costs from TEAM 
participants to new non-participant hospitals, including hospitals in 
the participation deferment period in accordance with Sec.  512.505(b) 
and (c).
0
24. Section 512.520 is amended by revising paragraph (b)(4)(i) to read 
as follows:


Sec.  512.520  Participation tracks.

* * * * *
    (b) * * *
    (4) * * *
    (i) Medicare-dependent hospital (as defined in Sec.  512.505) and 
the Medicare Dependent Hospital program, as authorized by statute, is 
not expired at the time Track 2 selections are due, as described in 
paragraph (b)(2) of this section.
* * * * *
0
25. Section 512.540 is amended by--
0
a. Revising paragraphs (a)(2) and (3) and (b)(2)(i) through (v);
0
b. In paragraph (b)(4), removing the phrase ``specified in Sec.  
512.540(a)(1)(ii)'' and adding in its place the phrase ``specified in 
paragraph (a)(1)(ii) of this section for each baseline year 
individually'';
0
c. In paragraph (b)(6) introductory text, removing the phrase ``factor, 
which is a multiplier'' and adding in its place the phrase ``factor at 
the MS-DRG/HCPCS region level, which is a multiplier''; and
0
d. Revising paragraphs (b)(7) and (8).
    The revisions read as follows:


Sec.  512.540  Determination of preliminary target prices.

    (a) * * *
    (2) Applicable time period for preliminary target prices. CMS 
calculates preliminary target prices for each MS-DRG/HCPCS episode type 
and region for each performance year and applies the preliminary target 
price to each episode based on the episode's date of discharge from the 
anchor hospitalization or the date of the anchor procedure, as 
applicable. CMS also does all of the following:
    (i) Accounts for MS-DRG and HCPCS/APC code changes between the 
baseline period and performance year by identifying diagnosis or 
procedure codes that are being moved from one MS-DRG or HCPCS/APC to 
another for the relevant performance year and mapping the new or 
revised MS-DRG or HCPCS/APC codes to the original codes that were used 
in the baseline period.
    (ii) Constructs preliminary target prices using the remapped MS-DRG 
or HCPCS/APC codes in the same manner described in paragraph (b) of 
this section, with target prices for each MS-DRG/HCPCS episode type, 
inclusive of episodes initiated by anchor hospitalizations and anchor 
procedures that would be related to the remapped MS-DRG or HCPCS/APC 
codes.
    (iii) Adjusts the preliminary target price by calculating and 
applying the scaling factor to the standardized episode spending of the 
MS-DRG portion for the anchor hospitalization or standardized episode 
spending of the HCPCS/APC portion of the anchor procedure.
    (3) Episodes that begin in one performance year and end in the 
subsequent performance year. CMS applies the preliminary target price 
to the episode based on the date of discharge from the anchor 
hospitalization or the date of the anchor procedure, as applicable, and 
reconciles the episode based on the date of discharge from the anchor 
hospitalization or the date of the anchor procedure.
    (b) * * *
    (2) * * *
    (i) Performance Year 1: Episodes with anchor hospitalization start 
dates or anchor procedure dates beginning on or after January 1, 2022, 
and anchor hospitalization discharge dates or anchor procedure dates 
between January 1, 2022, and December 31, 2024.
    (ii) Performance Year 2: Episodes with anchor hospitalization or 
anchor procedure start dates beginning on or after January 1, 202,3 and 
anchor hospitalization discharge dates or

[[Page 18421]]

anchor procedure dates between January 1, 2023, and December 31, 2025.
    (iii) Performance Year 3: Episodes with anchor hospitalization or 
anchor procedure start dates beginning on or after January 1, 2024, and 
anchor hospitalization discharge dates or anchor procedure dates 
between January 1, 2024, and December 31, 2026.
    (iv) Performance Year 4: Episodes with anchor hospitalization or 
anchor procedure start dates beginning on or after January 1, 2025, and 
anchor hospitalization discharge dates or anchor procedure dates 
between January 1, 2025, and December 31, 2027.
    (v) Performance Year 5: Episodes with anchor hospitalization or 
anchor procedure start dates beginning on or after January 1, 2026, and 
anchor hospitalization discharge dates or anchor procedure dates 
between January 1, 2026, and December 31, 2028.
* * * * *
    (7) Prospective trend factor. CMS calculates a multiplier for each 
MS-DRG/HCPCS episode type and region which is applied to the most 
recent calendar year of the applicable baseline period. The multiplier 
is calculated using linear regression on the logarithmically 
transformed average regional spending for each MS-DRG/HCPCS episode 
type in the baseline years and trend years at both the regional and 
national level. CMS exponentiates the coefficient from this regression 
to calculate the estimated annual change (where an exponentiated 
coefficient of 1 signifies no change) in average regional spending for 
each MS-DRG/HCPCS episode type from year to year. CMS then squares this 
value to calculate the 2-year prospective trend factor. The prospective 
trend factor for each MS-DRG/HCPCS episode type and region is the 
average (arithmetic mean) of the multiplier for that MS-DRG/HCPCS 
episode type and region and the national average for that MS-DRG/HCPCS 
episode type.
    (8) Communication of preliminary target prices. CMS communicates 
the preliminary target prices for each MS-DRG/HCPCS episode type for 
each region, and the preliminary target prices for each MS-DRG/HCPCS 
episode type specific to the TEAM participant before the performance 
year in which they apply.
* * * * *
0
26. Section 512.545 is amended by--
0
a. In paragraph (a) introductory text--
0
i. Removing the phrase ``social need'' and adding in its place the 
phrase ``beneficiary economic''; and
0
ii. Removing the text ``paragraph (a)(6)(i) through (v)'' and adding in 
its place the text ``paragraphs (a)(6)(i) through (v)'';
0
b. In paragraph (a)(1), removing the phrase ``CMS-HCC conditions based 
on a lookback period'' and adding in its place ``CMS-HCC conditions 
based on a 180-day lookback period'';
0
c. Revising paragraphs (a)(3) and (6), (e)(1)(i), and (f) introductory 
text.
    The revisions read as follows:


Sec.  512.545  Determination of reconciliation target prices.

    (a) * * *
    (3) The beneficiary economic risk adjustment factor uses two 
variables, representing beneficiaries that, as of the first day of the 
episode--
    (i) Meet one or more of the following economic measures:
    (A) [Reserved]
    (B) National CDI above the 80th percentile.
    (C) Eligibility for the low-income subsidy.
    (D) Eligibility for full Medicaid benefits.
    (ii) Do not meet any of the three economic measures in paragraph 
(a)(3)(i) of this section.
* * * * *
    (6) Episode category-specific beneficiary level risk adjustment 
factors represent the presence or absence in beneficiaries, based on a 
180-day lookback period that ends on the day prior to the anchor 
hospitalization or anchor procedure, of each of the following 
conditions:
    (i) CABG episode category.
    (A) Prior post-acute care use.
    (B) HCC 37: Diabetes with Chronic Complications.
    (C) HCC 48: Morbid Obesity.
    (D) HCC 125: Dementia, Severe.
    (E) HCC 126: Dementia, Moderate.
    (F) HCC 127: Dementia, Mild or Unspecified.
    (G) HCC 155: Major Depression, Moderate or Severe, without 
Psychosis.
    (H) HCC 199: Parkinson and Other Degenerative Disease of Basal 
Ganglia.
    (I) HCC 213: Cardio-Respiratory Failure and Shock.
    (J) HCC 224: Acute on Chronic Heart Failure.
    (K) HCC 226: Heart Failure, Except End-Stage and Acute.
    (L) HCC 228: Acute Myocardial Infarction.
    (M) HCC 229: Unstable Angina and Other Acute Ischemic Heart 
Disease.
    (N) HCC 238: Specified Heart Arrhythmias.
    (O) HCC 249: Ischemic or Unspecified Stroke.
    (P) HCC 253: Hemiplegia/Hemiparesis.
    (Q) HCC 263: Atherosclerosis of Arteries of the Extremities with 
Ulceration or Gangrene.
    (R) HCC 280: Chronic Obstructive Pulmonary Disease, Interstitial 
Lung Disorders, and Other Chronic Lung Disorders.
    (S) HCC 298: Severe Diabetic Eye Disease, Retinal Vein Occlusion, 
and Vitreous Hemorrhage.
    (T) HCC 326: Chronic Kidney Disease, Stage 5.
    (U) HCC 327: Chronic Kidney Disease, Severe (Stage 4).
    (V) HCC 383: Chronic Ulcer of Skin, Except Pressure, Not Specified 
as Through to Bone or Muscle.
    (W) HCC 409: Amputation Status, Lower Limb/Amputation 
Complications.
    (ii) LEJR episode category.
    (A) Ankle procedure or reattachment, partial hip procedure, partial 
knee arthroplasty, total hip arthroplasty or hip resurfacing procedure, 
and total knee arthroplasty.
    (B) Disability as the original reason for Medicare enrollment.
    (C) Dementia without complications.
    (D) Prior post-acute care use.
    (E) HCC 17: Cancer Metastatic to Lung, Liver, Brain, and Other 
Organs; Acute Myeloid Leukemia Except Promyelocytic.
    (F) HCC 36: Diabetes with Severe Acute Complications.
    (G) HCC 37: Diabetes with Chronic Complications.
    (H) HCC 48: Morbid Obesity.
    (I) HCC 125: Dementia, Severe.
    (J) HCC 126: Dementia, Moderate.
    (K) HCC 127: Dementia, Mild or Unspecified.
    (L) HCC 151: Schizophrenia.
    (M) HCC 155: Major Depression, Moderate or Severe, without 
Psychosis.
    (N) HCC 199: Parkinson and Other Degenerative Disease of Basal 
Ganglia.
    (O) HCC 224: Acute on Chronic Heart Failure.
    (P) HCC 225: Acute Heart Failure (Excludes Acute on Chronic).
    (Q) HCC 226: Heart Failure, Except End-Stage and Acute.
    (R) HCC 238: Specified Heart Arrhythmias.
    (S) HCC 253: Hemiplegia/Hemiparesis.
    (T) HCC 267: Deep Vein Thrombosis and Pulmonary Embolism.
    (U) HCC 280: Chronic Obstructive Pulmonary Disease, Interstitial 
Lung Disorders, and Other Chronic Lung Disorders.
    (V) HCC 326: Chronic Kidney Disease, Stage 5.
    (W) HCC 327: Chronic Kidney Disease, Severe (Stage 4).
    (X) HCC 383: Chronic Ulcer of Skin, Except Pressure, Not Specified 
as Through to Bone or Muscle.
    (Y) HCC402: Hip Fracture/Dislocation.

[[Page 18422]]

    (iii) Major Bowel Procedure episode category.
    (A) Long-term institutional care use.
    (B) HCC 17: Cancer Metastatic to Lung, Liver, Brain, and Other 
Organs; Acute Myeloid Leukemia Except Promyelocytic.
    (C) HCC 22: Bladder, Colorectal, and Other Cancers.
    (D) HCC 37: Diabetes with Chronic Complications.
    (E) HCC 48: Morbid Obesity.
    (F) HCC 78: Intestinal Obstruction/Perforation.
    (G) HCC 125: Dementia, Severe.
    (H) HCC 126: Dementia, Moderate.
    (I) HCC 127: Dementia, Mild or Unspecified.
    (J) HCC 151: Schizophrenia.
    (K) HCC 155: Major Depression, Moderate or Severe, without 
Psychosis.
    (L) HCC 199: Parkinson and Other Degenerative Disease of Basal 
Ganglia.
    (M) HCC 201: Seizure Disorders and Convulsions.
    (N) HCC 211: Respirator Dependence/Tracheostomy Status/
Complications.
    (O) HCC 213: Cardio-Respiratory Failure and Shock.
    (P) HCC 224: Acute on Chronic Heart Failure.
    (Q) HCC 226: Heart Failure, Except End-Stage and Acute.
    (R) HCC 238: Specified Heart Arrhythmias.
    (S) HCC 253: Hemiplegia/Hemiparesis.
    (T) HCC 267: Deep Vein Thrombosis and Pulmonary Embolism.
    (U) HCC 280: Chronic Obstructive Pulmonary Disease, Interstitial 
Lung Disorders, and Other Chronic Lung Disorders.
    (V) HCC 326: Chronic Kidney Disease, Stage 5.
    (W) HCC 327: Chronic Kidney Disease, Severe (Stage 4).
    (X) HCC 383: Chronic Ulcer of Skin, Except Pressure, Not Specified 
as Through to Bone or Muscle.
    (Y) HCC 463: Artificial Openings for Feeding or Elimination.
    (iv) SHFFT episode category.
    (A) HCC 36: Diabetes with Severe Acute Complications.
    (B) HCC 37: Diabetes with Chronic Complications.
    (C) HCC 38: Diabetes with Glycemic, Unspecified, or No 
Complications.
    (D) HCC 48: Morbid Obesity.
    (E) HCC 63: Chronic Liver Failure/End-Stage Liver Disorders.
    (F) HCC 93: Rheumatoid Arthritis and Other Specified Inflammatory 
Rheumatic Disorders.
    (G) HCC 109: Acquired Hemolytic, Aplastic, and Sideroblastic 
Anemias.
    (H) HCC 125: Dementia, Severe.
    (I) HCC 126: Dementia, Moderate.
    (J) HCC 127: Dementia, Mild or Unspecified.
    (K) HCC 180: Quadriplegia.
    (L) HCC 181: Paraplegia.
    (M) HCC 191: Quadriplegic Cerebral Palsy.
    (N) HCC 198: Multiple Sclerosis.
    (O) HCC 199: Parkinson and Other Degenerative Disease of Basal 
Ganglia.
    (P) HCC 211: Respirator Dependence/Tracheostomy Status/
Complications.
    (Q) HCC 213: Cardio-Respiratory Failure and Shock.
    (R) HCC 226: Heart Failure, Except End-Stage and Acute.
    (S) HCC 238: Specified Heart Arrhythmias.
    (T) HCC 249: Ischemic or Unspecified Stroke.
    (U) HCC 253: Hemiplegia/Hemiparesis.
    (V) HCC 280: Chronic Obstructive Pulmonary Disease, Interstitial 
Lung Disorders, and Other Chronic Lung Disorders.
    (W) HCC 326: Chronic Kidney Disease, Stage 5.
    (X) HCC 383: Chronic Ulcer of Skin, Except Pressure, Not Specified 
as Through to Bone or Muscle.
    (Y) HCC 402: Hip Fracture/Dislocation.
    (v) Spinal Fusion episode category.
    (A) Prior post-acute care use.
    (B) HCC 17: Cancer Metastatic to Lung, Liver, Brain, and Other 
Organs; Acute Myeloid Leukemia Except Promyelocytic.
    (C) HCC 18: Cancer Metastatic to Bone, Other and Unspecified 
Metastatic Cancer; Acute Leukemia Except Myeloid.
    (D) HCC 37: Diabetes with Chronic Complications.
    (E) HCC 48: Morbid Obesity.
    (F) HCC 93: Rheumatoid Arthritis and Other Specified Inflammatory 
Rheumatic Disorders.
    (G) HCC 125: Dementia, Severe.
    (H) HCC 126: Dementia, Moderate.
    (I) HCC 127: Dementia, Mild or Unspecified.
    (J) HCC 155: Major Depression, Moderate or Severe, without 
Psychosis.
    (K) HCC 180: Quadriplegia.
    (L) HCC 181: Paraplegia.
    (M) HCC 182: Spinal Cord Disorders/Injuries.
    (N) HCC 192: Cerebral Palsy, Except Quadriplegic.
    (O) HCC 193: Chronic Inflammatory Demyelinating Polyneuritis and 
Multifocal Motor Neuropathy.
    (P) HCC 199: Parkinson and Other Degenerative Disease of Basal 
Ganglia.
    (Q) HCC 224: Acute on Chronic Heart Failure.
    (R) HCC 226: Heart Failure, Except End-Stage and Acute.
    (S) HCC 238: Specified Heart Arrhythmias.
    (T) HCC 249: Ischemic or Unspecified Stroke.
    (U) HCC 253: Hemiplegia/Hemiparesis.
    (V) HCC 254: Monoplegia, Other Paralytic Syndromes.
    (W) HCC 267: Deep Vein Thrombosis and Pulmonary Embolism.
    (X) HCC 326: Chronic Kidney Disease, Stage 5.
    (Y) HCC 383: Chronic Ulcer of Skin, Except Pressure, Not Specified 
as Through to Bone or Muscle.
    (Z) HCC 401: Vertebral Fractures without Spinal Cord Injury.
* * * * *
    (e) * * *
    (1) * * *
    (i) Is the mean benchmark price for each MS-DRG/HCPCS episode type 
and region divided by the mean risk-adjusted benchmark price for the 
same MS DRG/HCPCS episode type and region.
* * * * *
    (f) CMS calculates a multiplier for each MS-DRG/HCPCS episode type 
and region which is applied during reconciliation to the most recent 
calendar year of the applicable baseline period. The multiplier is 
calculated as the average regional capped performance year episode 
spending for each MS-DRG/HCPCS episode type divided by the average 
regional capped baseline period episode spending for each MS-DRG/HCPCS 
episode type.
* * * * *
0
27. Section 512.547 is amended by--
0
a. In paragraph (a)(2) introductory text, removing the phrase ``years 2 
through 5'' and adding in its place ``year 2'';
0
b. Adding paragraph (a)(3); and
0
d. Revising paragraph (b)(1)(i)(D).
    The addition and revision read as follows:


Sec.  512.547  Quality measures, composite quality score, and display 
of quality measures.

    (a) * * *
    (3) For performance years 3 through 5:
    (i) For all episode categories: Hybrid Hospital-Wide All-Cause 
Readmission Measure with Claims and Electronic Health Record Data (CMIT 
ID #356) with a CY 2025 CQS baseline period.
    (ii) For all episode categories: Hospital Harm--Falls with Injury 
(CMIT ID #1518) with a CY 2026 CQS baseline period.
    (iii) For all episode categories: Hospital Harm--Postoperative 
Respiratory Failure (CMIT ID #1788) with a CY 2026 CQS baseline period.

[[Page 18423]]

    (iv) For all episode categories: Thirty-day Risk-Standardized Death 
Rate among Surgical Inpatients with Complications (Failure-to-Rescue) 
(CMIT ID #134) with a CY 2026 CQS baseline period.
    (v) For LEJR episodes: Hospital-Level Total Hip and/or Total Knee 
Arthroplasty (THA/TKA) Patient-Reported Outcome-Based Performance 
Measure (PRO-PM) (CMIT ID #1618) with a CY 2025 CQS baseline period.
    (vi) For LEJR and Spinal Fusion episodes: Information Transfer PRO-
PM (CMIT ID #1797) with a CY 2027 CQS baseline period.
* * * * *
    (b) * * *
    (1) * * *
    (i) * * *
    (D) CMS assigns a scaled quality measure of 50 if the TEAM 
participant has no or an incomplete raw quality measure score for a 
given quality measure.
* * * * *
0
28. Section 512.562 is amended by revising paragraph (c)(3) to read as 
follows:


Sec.  512.562  Data sharing with TEAM participants.

* * * * *
    (c) * * *
    (3) Sex.
* * * * *
0
29. Section 512.563 is amended by:
0
a. Revising the section heading; and
0
b. Removing and reserving paragraphs (a) and (b).
    The revision read as follows:


Sec.  512.563  Health data reporting.

* * * * *
0
30. Section 512.580 is amended by revising the section heading and 
paragraph (b)(3) to read as follows:


Sec.  512.580  TEAM Medicare Program Waivers.

* * * * *
    (b) * * *
    (3) Determination of qualified SNFs. CMS determines the qualified 
SNFs for each calendar quarter based on a review of the most recent 
rolling 12 months of overall star ratings on the Five-Star Quality 
Rating System for SNFs on the Nursing Home Compare website.
    (i) Qualified SNFs are rated an overall of 3 stars or better for at 
least 7 of the 12 months. (ii) Qualified SNFs include providers 
furnishing SNF services under swing bed agreements, which will not be 
subject to the star ratings requirement.
* * * * *


Sec.  512.598  [Removed]

0
31. Section 512.598 is removed.

Robert F. Kennedy, Jr.,
Secretary, Department of Health and Human Services.

    Note: The following addendum and appendices will not appear in 
the Code of Federal Regulations.

Addendum--Schedule of Standardized Amounts, Update Factors, Rate-of-
Increase Percentages Effective With Cost Reporting Periods Beginning on 
or After October 1, 2025, and Payment Rates for LTCHs Effective for 
Discharges Occurring on or After October 1, 2025

I. Summary and Background

    In this Addendum, we are setting forth a description of the 
methods and data we used to determine the proposed prospective 
payment rates for Medicare hospital inpatient operating costs and 
Medicare hospital inpatient capital-related costs for FY 2026 for 
acute care hospitals. We also are setting forth the rate-of-increase 
percentage for updating the target amounts for certain hospitals 
excluded from the IPPS for FY 2026. We note that, because certain 
hospitals excluded from the IPPS are paid on a reasonable cost basis 
subject to a rate-of-increase ceiling (and not by the IPPS), these 
hospitals are not affected by the proposed figures for the 
standardized amounts, offsets, and budget neutrality factors. 
Therefore, in this proposed rule, we are setting forth the rate-of-
increase percentage for updating the target amounts for certain 
hospitals excluded from the IPPS that would be effective for cost 
reporting periods beginning on or after October 1, 2025. In 
addition, we are setting forth a description of the methods and data 
we used to determine the LTCH PPS standard Federal payment rate that 
would be applicable to Medicare LTCHs for FY 2026.
    In general, except for SCHs and MDHs, for FY 2026, each 
hospital's payment per discharge under the IPPS is based on 100 
percent of the Federal national rate, also known as the national 
adjusted standardized amount. This amount reflects the national 
average hospital cost per case from a base year, updated for 
inflation.
    SCHs are paid based on whichever of the following rates yields 
the greatest aggregate payment:
     The Federal national rate (including, as discussed in 
section IV.E. of the preamble of this proposed rule, uncompensated 
care payments under section 1886(r)(2) of the Act).
     The updated hospital-specific rate based on FY 1982 
costs per discharge.
     The updated hospital-specific rate based on FY 1987 
costs per discharge.
     The updated hospital-specific rate based on FY 1996 
costs per discharge.
     The updated hospital-specific rate based on FY 2006 
costs per discharge.
    Under section 1886(d)(5)(G) of the Act, MDHs historically were 
paid based on the Federal national rate or, if higher, the Federal 
national rate plus 50 percent of the difference between the Federal 
national rate and the updated hospital-specific rate based on FY 
1982 or FY 1987 costs per discharge, whichever was higher. However, 
section 5003(a)(1) of Public Law 109-171 extended and modified the 
MDH special payment provision that was previously set to expire on 
October 1, 2006, to include discharges occurring on or after October 
1, 2006, but before October 1, 2011. Under section 5003(b) of Public 
Law 109-171, if the change results in an increase to an MDH's target 
amount, we must rebase an MDH's hospital specific rates based on its 
FY 2002 cost report. Section 5003(c) of Public Law 109-171 further 
required that MDHs be paid based on the Federal national rate or, if 
higher, the Federal national rate plus 75 percent of the difference 
between the Federal national rate and the updated hospital specific 
rate. Further, based on the provisions of section 5003(d) of Public 
Law 109-171, MDHs are no longer subject to the 12-percent cap on 
their DSH payment adjustment factor. Section 2202 of the Full-Year 
Continuing Appropriations and Extensions Act, 2025 extended the MDH 
program through FY 2025. Therefore, under current law, the MDH 
program will expire for discharges on or after October 1, 2025. We 
note that if the MDH program were to be extended by law beyond 
September 30, 2025, into FY 2026, the proposed updates to the 
hospital-specific rates for SCHs as described in this section would 
also apply to the hospital-specific rates for MDHs for FY 2026. We 
refer readers to section V.F. of the preamble of this proposed rule 
for further discussion of the MDH program.
    As discussed in section V.B.2. of the preamble of this proposed 
rule, section 1886(n)(6)(B) of the Act was amended to specify that 
the adjustments to the applicable percentage increase under section 
1886(b)(3)(B)(ix) of the Act apply to subsection (d) Puerto Rico 
hospitals that are not meaningful EHR users, effective beginning FY 
2022. In general, Puerto Rico hospitals are paid 100 percent of the 
national standardized amount and are subject to the same national 
standardized amount as subsection (d) hospitals that receive the 
full update. Accordingly, our discussion later in this section does 
not include references to the Puerto Rico standardized amount or the 
Puerto Rico-specific wage index.
    As discussed in section II. of this Addendum, we are proposing 
to make changes in the determination of the prospective payment 
rates for Medicare inpatient operating costs for acute care 
hospitals for FY 2026. In section III. of this Addendum, we discuss 
our proposed policy changes for determining the prospective payment 
rates for Medicare inpatient capital-related costs for FY 2026. In 
section IV. of this Addendum, we are setting forth the rate-of-
increase percentage for determining the rate-of-increase limits for 
certain hospitals excluded from the IPPS for FY 2026. In section V. 
of this Addendum, we discuss proposed policy changes for determining 
the LTCH PPS standard Federal rate for LTCHs paid under the LTCH PPS 
for FY 2026. The tables to which we refer in the preamble of this 
proposed rule are listed in section VI. of

[[Page 18424]]

this Addendum and are available via the internet on the CMS website.

II. Proposed Changes to Prospective Payment Rates for Hospital 
Inpatient Operating Costs for Acute Care Hospitals for FY 2026

    The basic methodology for determining prospective payment rates 
for hospital inpatient operating costs for acute care hospitals for 
FY 2005 and subsequent fiscal years is set forth under Sec.  412.64. 
The basic methodology for determining the prospective payment rates 
for hospital inpatient operating costs for hospitals located in 
Puerto Rico for FY 2005 and subsequent fiscal years is set forth 
under Sec. Sec.  412.211 and 412.212. In this section, we discuss 
the factors we are proposing to use for determining the proposed 
prospective payment rates for FY 2026.
    In summary, the proposed standardized amounts set forth in 
Tables 1A, 1B, and 1C that are listed and published in section VI. 
of this Addendum (and available via the internet on the CMS website) 
reflect--
     Equalization of the standardized amounts for urban and 
other areas at the level computed for large urban hospitals during 
FY 2004 and onward, as provided for under section 
1886(d)(3)(A)(iv)(II) of the Act.
     The labor-related share that is applied to the 
standardized amounts to give the hospital the highest payment, as 
provided for under sections 1886(d)(3)(E) and 1886(d)(9)(C)(iv) of 
the Act. For FY 2026, depending on whether a hospital submits 
quality data under the rules established in accordance with section 
1886(b)(3)(B)(viii) of the Act (hereafter referred to as a hospital 
that submits quality data) and is a meaningful EHR user under 
section 1886(b)(3)(B)(ix) of the Act (hereafter referred to as a 
hospital that is a meaningful EHR user), there are four possible 
applicable percentage increases that can be applied to the national 
standardized amount.
    We refer readers to section VI.B. of the preamble of this 
proposed rule for a complete discussion on the FY 2026 inpatient 
hospital update. The table that follows shows these four scenarios:

                          Proposed FY 2026 Applicable Percentage Increase for the IPPS
----------------------------------------------------------------------------------------------------------------
                                                     Hospital        Hospital      Hospital did    Hospital did
                                                     submitted       submitted      not submit      not submit
                                                   quality data    quality data    quality data    quality data
                     FY 2026                         and is a      and is not a      and is a      and is not a
                                                  meaningful EHR  meaningful EHR  meaningful EHR  meaningful EHR
                                                       user            user            user            user
----------------------------------------------------------------------------------------------------------------
Proposed Market Basket                                       3.2             3.2             3.2             3.2
 Rate[dash]of[dash]Increase.....................
Proposed Adjustment for Failure to Submit                      0               0            -0.8            -0.8
 Quality Data under Section 1886(b)(3)(B)(viii)
 of the Act.....................................
Proposed Adjustment for Failure to be a                        0            -2.4               0            -2.4
 Meaningful EHR User under Section
 1886(b)(3)(B)(ix) of the Act...................
Proposed Productivity Adjustment under Section              -0.8            -0.8            -0.8            -0.8
 1886(b)(3)(B)(xi) of the Act...................
                                                 ---------------------------------------------------------------
    Proposed Applicable Percentage Increase                  2.4             0.0             1.6            -0.8
     Applied to Standardized Amount.............
----------------------------------------------------------------------------------------------------------------

    We note that section 1886(b)(3)(B)(viii) of the Act, which 
specifies the adjustment to the applicable percentage increase for 
``subsection (d)'' hospitals that do not submit quality data under 
the rules established by the Secretary, is not applicable to 
hospitals located in Puerto Rico. In addition, section 602 of Public 
Law 114-113 amended section 1886(n)(6)(B) of the Act to specify that 
Puerto Rico hospitals are eligible for incentive payments for the 
meaningful use of certified EHR technology, effective beginning FY 
2016, and also to apply the adjustments to the applicable percentage 
increase under section 1886(b)(3)(B)(ix) of the Act to subsection 
(d) Puerto Rico hospitals that are not meaningful EHR users, 
effective beginning FY 2022. Accordingly, the applicable percentage 
increase for subsection (d) Puerto Rico hospitals that are not 
meaningful EHR users for FY 2026 and subsequent fiscal years is 
adjusted by the proposed adjustment for failure to be a meaningful 
EHR user under section 1886(b)(3)(B)(ix) of the Act. The regulations 
at 42 CFR 412.64(d)(3)(ii) reflect the current law for the update 
for subsection (d) Puerto Rico hospitals for FY 2022 and subsequent 
fiscal years.
     An adjustment to the standardized amount to ensure 
budget neutrality for DRG recalibration and reclassification, as 
provided for under section 1886(d)(4)(C)(iii) of the Act.
     An adjustment to the standardized amount to ensure 
budget neutrality for the permanent 10-percent cap on the reduction 
in a MS-DRG's relative weight in a given fiscal year, as discussed 
in section II.D.2.c. of the preamble of this proposed rule, 
consistent with our current methodology for implementing DRG 
recalibration and reclassification budget neutrality under section 
1886(d)(4)(C)(iii) of the Act.
     An adjustment to ensure the wage index and labor-
related share changes (depending on the fiscal year) are budget 
neutral, as provided for under section 1886(d)(3)(E)(i) of the Act 
(as discussed in the FY 2006 IPPS final rule (70 FR 47395) and the 
FY 2010 IPPS final rule (74 FR 44005)). We note that section 
1886(d)(3)(E)(i) of the Act requires that when we compute such 
budget neutrality, we assume that the provisions of section 
1886(d)(3)(E)(ii) of the Act (requiring a 62-percent labor-related 
share in certain circumstances) had not been enacted.
     An adjustment to ensure the effects of geographic 
reclassification are budget neutral, as provided for under section 
1886(d)(8)(D) of the Act, by removing the FY 2025 budget neutrality 
factor and applying a revised factor.
     An adjustment to the standardized amount to implement 
in a budget neutral manner the wage index cap policy (as described 
in section III.G.6. of the preamble of this proposed rule).
     Using our authority under section 1886(d)(5)(I)(i) of 
the Act, an adjustment to the standardized amount to implement in a 
budget neutral manner the proposed transition for the 
discontinuation of the low wage index hospital policy (as described 
in section III.F.7. of the preamble of this proposed rule).
     An adjustment to ensure the effects of the Rural 
Community Hospital Demonstration program required under section 410A 
of Public Law 108-173 (as amended by sections 3123 and 10313 of Pub. 
L. 111-148, which extended the demonstration program for an 
additional 5 years and section 15003 of Pub. L. 114-255), are budget 
neutral as required under section 410A(c)(2) of Public Law 108-173.
     An adjustment to remove the FY 2025 outlier offset and 
apply an offset for FY 2026, as provided for in section 
1886(d)(3)(B) of the Act.
    For FY 2026, consistent with current law, we are proposing to 
apply the rural floor budget neutrality adjustment to hospital wage 
indexes. Also, consistent with section 3141 of the Affordable Care 
Act, instead of applying a State-level rural floor budget neutrality 
adjustment to the wage index, we are proposing to apply a uniform, 
national budget neutrality adjustment to the FY 2026 wage index for 
the rural floor.
    For FY 2026, we are proposing to continue to not remove the Stem 
Cell Acquisition Budget Neutrality Factor from the prior year's 
standardized amount and to not apply a new factor. If we removed the 
prior year's adjustment, we would not satisfy budget neutrality. We 
believe this approach ensures the effects of the reasonable cost-
based payment for allogeneic hematopoietic stem cell acquisition 
costs under section 108 of the Further Consolidated Appropriations 
Act, 2020 (Pub. L. 116-94) are budget neutral as required under 
section 108 of Public Law 116-94. For a discussion of Stem Cell

[[Page 18425]]

Acquisition Budget Neutrality Factor, we refer the reader to the FY 
2021 IPPS/LTCH PPS final rule (85 FR 59032 and 59033).
    We finally note, as discussed in section III.G.5. of the 
preamble to this proposed rule, in the FY 2025 IFC we recalculated 
the FY 2025 IPPS hospital wage index to remove the low wage index 
hospital policy for FY 2025. We also removed the low wage index 
budget neutrality factor from the FY 2025 standardized amounts. For 
FY 2026 and subsequent fiscal years, after considering the D.C. 
Circuit's decision in Bridgeport Hosp. v. Becerra, we are proposing 
to discontinue the low wage index hospital policy. Because we are 
proposing to discontinue the low wage index hospital policy for FY 
2026 and subsequent fiscal years we are no longer applying the low 
wage index budget neutrality factor to the standardized amounts.

A. Calculation of the Proposed Adjusted Standardized Amount

1. Standardization of Base-Year Costs or Target Amounts

    In general, the national standardized amount is based on per 
discharge averages of adjusted hospital costs from a base period 
(section 1886(d)(2)(A) of the Act), updated and otherwise adjusted 
in accordance with the provisions of section 1886(d) of the Act. The 
September 1, 1983, interim final rule (48 FR 39763) contained a 
detailed explanation of how base-year cost data (from cost reporting 
periods ending during FY 1981) were established for urban and rural 
hospitals in the initial development of standardized amounts for the 
IPPS.
    Sections 1886(d)(2)(B) and 1886(d)(2)(C) of the Act require us 
to update base-year per discharge costs for FY 1984 and then 
standardize the cost data in order to remove the effects of certain 
sources of cost variations among hospitals. These effects include 
case-mix, differences in area wage levels, cost-of-living 
adjustments for Alaska and Hawaii, IME costs, and costs to hospitals 
serving a disproportionate share of low-income patients.
    For FY 2026, we are proposing to rebase and revise the national 
labor-related and nonlabor-related shares (based on the proposed 
2023-based hospital IPPS market basket discussed in section IV.B.3. 
of the preamble of this proposed rule). Specifically, under section 
1886(d)(3)(E) of the Act, the Secretary estimates, from time to 
time, the proportion of payments that are labor-related and adjusts 
the proportion (as estimated by the Secretary from time to time) of 
hospitals' costs which are attributable to wages and wage-related 
costs of the DRG prospective payment rates. We refer to the 
proportion of hospitals' costs that are attributable to wages and 
wage-related costs as the ``labor-related share.'' For FY 2026, as 
discussed in section III.H. of the preamble of this proposed rule, 
we are proposing to use a labor-related share of 66.0 percent for 
the national standardized amounts for all IPPS hospitals (including 
hospitals in Puerto Rico) that have a wage index value that is 
greater than 1.0000. Consistent with section 1886(d)(3)(E) of the 
Act, we are proposing to apply the wage index to a labor-related 
share of 62 percent of the national standardized amount for all IPPS 
hospitals (including hospitals in Puerto Rico) whose wage index 
values are less than or equal to 1.0000.
    The proposed standardized amounts for operating costs appear in 
Tables 1A, 1B, and 1C that are listed and published in section VI. 
of the Addendum to this proposed rule and are available via the 
internet on the CMS website.

2. Computing the National Average Standardized Amount

    Section 1886(d)(3)(A)(iv)(II) of the Act requires that, 
beginning with FY 2004 and thereafter, an equal standardized amount 
be computed for all hospitals at the level computed for large urban 
hospitals during FY 2003, updated by the applicable percentage 
increase. Accordingly, we are proposing to calculate the FY 2026 
national average standardized amount irrespective of whether a 
hospital is located in an urban or rural location.

3. Updating the National Average Standardized Amount

    Section 1886(b)(3)(B) of the Act specifies the applicable 
percentage increase used to update the standardized amount for 
payment for inpatient hospital operating costs. We note that, in 
compliance with section 404 of the MMA, we are proposing to use the 
proposed 2023-based IPPS operating and capital market baskets for FY 
2026. As discussed in section VI.B. of the preamble of this proposed 
rule, in accordance with section 1886(b)(3)(B) of the Act, as 
amended by section 3401(a) of the Affordable Care Act, we are 
proposing to reduce the FY 2026 applicable percentage increase 
(which for this proposed rule is based on IGI's fourth quarter 2024 
forecast of the proposed 2023-based IPPS market basket) by the 
productivity adjustment, as discussed elsewhere in this proposed 
rule.
    Based on IGI's fourth quarter 2024 forecast of the IPPS hospital 
market basket percentage increase (as discussed in appendix B of 
this proposed rule), the forecast of the hospital market basket 
percentage increase for FY 2026 for this proposed rule is 3.2 
percent and the forecast of the productivity adjustment for FY 2026 
for this proposed rule is 0.8 percentage point. As discussed 
earlier, for FY 2026, depending on whether a hospital submits 
quality data under the rules established in accordance with section 
1886(b)(3)(B)(viii) of the Act and is a meaningful EHR user under 
section 1886(b)(3)(B)(ix) of the Act, there are four possible 
applicable percentage increases that can be applied to the 
standardized amount. We refer readers to section VI.B. of the 
preamble of this proposed rule for a complete discussion on the 
proposed FY 2026 inpatient hospital update to the standardized 
amount. We also refer readers to the previous table for the four 
possible applicable percentage increases that would be applied to 
update the national standardized amounts. The proposed standardized 
amounts shown in Tables 1A through 1C that are published in section 
VI. of this Addendum and that are available via the internet on the 
CMS website reflect these differential amounts.
    Although the update factors for FY 2026 are set by law, we are 
required by section 1886(e)(4) of the Act to recommend, taking into 
account MedPAC's recommendations, appropriate update factors for FY 
2026 for both IPPS hospitals and hospitals and hospital units 
excluded from the IPPS. Section 1886(e)(5)(A) of the Act requires 
that we publish our recommendations in the Federal Register for 
public comment. Our recommendation on the proposed FY 2026 update 
factors is set forth in appendix B of this proposed rule.

4. Methodology for Calculation of the Average Standardized Amount

    The methodology we used to calculate the proposed FY 2026 
standardized amount is as follows:
     To ensure we are only including hospitals paid under 
the IPPS in the calculation of the standardized amount, we applied 
the following inclusion and exclusion criteria: include hospitals 
whose last four digits fall between 0001 and 0879 (section 2779A1 of 
Chapter 2 of the State Operations Manual on the CMS website at: 
https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/Downloads/som107c02.pdf); exclude CAHs and Rural Emergency Hospitals 
(REHs) at the time of this proposed rule (we finalized to remove 
REHs in the calculation of the standardized amount in the FY 2025 
IPPS/LTCH final rule (89 FR 69941-69942); exclude hospitals in 
Maryland (because these hospitals are paid under an all payer model 
under section 1115A of the Act); and remove PPS excluded-cancer 
hospitals that have a ``V'' in the fifth position of their provider 
number or a ``E'' or ``F'' in the sixth position.
     As in the past, we are proposing to adjust the FY 2026 
standardized amount to remove the effects of the FY 2026 geographic 
reclassifications and outlier payments before applying the FY 2026 
updates. We then applied budget neutrality offsets for outliers and 
geographic reclassifications to the standardized amount based on 
proposed FY 2026 payment policies.
     We do not remove the prior year's budget neutrality 
adjustments for reclassification and recalibration of the DRG 
relative weights and for updated wage data because, in accordance 
with sections 1886(d)(4)(C)(iii) and 1886(d)(3)(E) of the Act, 
estimated aggregate payments after updates in the DRG relative 
weights and wage index should equal estimated aggregate payments 
prior to the changes. If we removed the prior year's adjustment, we 
would not satisfy these conditions.
    Budget neutrality is determined by comparing aggregate IPPS 
payments before and after making changes that are required to be 
budget neutral (for example, changes to MS-DRG classifications, 
recalibration of the MS-DRG relative weights, updates to the wage 
index, and different geographic reclassifications). We include 
outlier payments in the simulations because they may be affected by 
changes in these parameters.
     Consistent with our methodology established in the FY 
2011 IPPS/LTCH PPS final rule (75 FR 50422 through 50433), because 
IME Medicare Advantage payments are made to IPPS hospitals under 
section 1886(d) of the Act, we believe these

[[Page 18426]]

payments must be part of these budget neutrality calculations. 
However, we note that it is not necessary to include Medicare 
Advantage IME payments in the outlier threshold calculation or the 
outlier offset to the standardized amount because the statute 
requires that outlier payments be not less than 5 percent nor more 
than 6 percent of total ``operating DRG payments,'' which does not 
include IME and DSH payments. We refer readers to the FY 2011 IPPS/
LTCH PPS final rule for a complete discussion on our methodology of 
identifying and adding the total Medicare Advantage IME payment 
amount to the budget neutrality adjustments.
     Consistent with the methodology in the FY 2012 IPPS/
LTCH PPS final rule, in order to ensure that we capture only fee-
for-service claims, we are only including claims with a ``Claim 
Type'' of 60 (which is a field on the MedPAR file that indicates a 
claim is an FFS claim).
     Consistent with our methodology established in the FY 
2017 IPPS/LTCH PPS final rule (81 FR 57277), in order to further 
ensure that we capture only FFS claims, we are excluding claims with 
a ``GHOPAID'' indicator of 1 (which is a field on the MedPAR file 
that indicates a claim is not an FFS claim and is paid by a Group 
Health Organization).
     Consistent with our methodology established in the FY 
2011 IPPS/LTCH PPS final rule (75 FR 50422 through 50423), we 
examine the MedPAR file and remove pharmacy charges for anti-
hemophilic blood factor (which are paid separately under the IPPS) 
with an indicator of ``3'' for blood clotting with a revenue code of 
``0636'' from the covered charge field for the budget neutrality 
adjustments. We are proposing to remove organ acquisition charges, 
except for cases that group to MS-DRG 018, from the covered charge 
field for the budget neutrality adjustments because organ 
acquisition is a pass-through payment not paid under the IPPS. 
Revenue centers 081X-089X are typically excluded from ratesetting, 
however, we are proposing to not remove revenue center 891 charges 
from MS-DRG 018 claims during ratesetting because those revenue 891 
charges were included in the relative weight calculation for MS-DRG 
018, which is consistent with the policy finalized in the FY 2021 
final rule (85 FR 58600). We note that a new MedPAR variable for 
revenue code 891 charges was introduced in April 2020.
     For FY 2026, we are continuing to remove allogeneic 
hematopoietic stem cell acquisition charges from the covered charge 
field for budget neutrality adjustments. As discussed in the FY 2021 
IPPS/LTCH PPS final rule, payment for allogeneic hematopoietic stem 
cell acquisition costs is made on a reasonable cost basis for cost 
reporting periods beginning on or after October 1, 2020 (85 FR 58835 
through 58842).
     The participation of hospitals under the BPCI (Bundled 
Payments for Care Improvement) Advanced model started on October 1, 
2018. The BPCI Advanced model, tested under the authority of section 
3021 of the Affordable Care Act (codified at section 1115A of the 
Act), is comprised of a single payment and risk track, which bundles 
payments for multiple services beneficiaries receive during a 
Clinical Episode. Acute care hospitals may participate in the BPCI 
Advanced model in one of two capacities: as a model Participant or 
as a downstream Episode Initiator. Regardless of the capacity in 
which they participate in the BPCI Advanced model, participating 
acute care hospitals would continue to receive IPPS payments under 
section 1886(d) of the Act. Acute care hospitals that are 
participants also assume financial and quality performance 
accountability for Clinical Episodes in the form of a reconciliation 
payment. For additional information on the BPCI Advanced model, we 
refer readers to the BPCI Advanced web page on the CMS Center for 
Medicare and Medicaid Innovation's website at: https://innovation.cms.gov/initiatives/bpci-advanced/.
    For FY 2026, consistent with how we treated hospitals that 
participated in the BPCI Advanced Model in the FY 2021 IPPS/LTCH PPS 
final rule (85 FR 59029 and 59030), we are proposing to include all 
applicable data from subsection (d) hospitals participating in the 
BPCI Advanced model in our IPPS payment modeling and ratesetting 
calculations. We believe it is appropriate to include all applicable 
data from the subsection (d) hospitals participating in the BPCI 
Advanced model in our IPPS payment modeling and ratesetting 
calculations because these hospitals are still receiving IPPS 
payments under section 1886(d) of the Act. For the same reasons, we 
are proposing to include all applicable data from subsection (d) 
hospitals participating in the Comprehensive Care for Joint 
Replacement (CJR) Model in our IPPS payment modeling and ratesetting 
calculations.
     Consistent with our methodology established in the FY 
2013 IPPS/LTCH PPS final rule (77 FR 53687 through 53688), we 
believe that it is appropriate to include adjustments for the 
Hospital Readmissions Reduction Program and the Hospital VBP Program 
(established under the Affordable Care Act) within our budget 
neutrality calculations.
    Both the hospital readmissions payment adjustment (reduction) 
and the hospital VBP payment adjustment (redistribution) are applied 
on a claim-by-claim basis by adjusting, as applicable, the base-
operating DRG payment amount for individual subsection (d) 
hospitals, which affects the overall sum of aggregate payments on 
each side of the comparison within the budget neutrality 
calculations.
    In order to properly determine aggregate payments on each side 
of the comparison, consistent with the approach we have taken in 
prior years, for FY 2026, we are proposing to continue to apply a 
proxy based on the prior fiscal year hospital readmissions payment 
adjustment and a proxy based on the prior fiscal year hospital VBP 
payment adjustment on each side of the comparison, consistent with 
the methodology that we adopted in the FY 2013 IPPS/LTCH PPS final 
rule (77 FR 53687 through 53688). Under this proposed policy for FY 
2026, we used the final FY 2025 readmissions adjustment factors from 
Table 15 of the FY 2025 IPPS/LTCH PPS final rule and the final FY 
2025 hospital VBP adjustment factors from Table 16B of the FY 2025 
IPPS/LTCH PPS final rule. These proxy factors are applied on both 
sides of our comparison of aggregate payments when determining all 
budget neutrality factors described in section II.A.4. of this 
Addendum. We refer the reader to section V.K. of the preamble of 
this proposed rule for a complete discussion on the Hospital 
Readmissions Reduction Program and section V.L. of the preamble of 
this proposed rule for a complete discussion on the Hospital VBP 
Program.
     The Affordable Care Act also established section 
1886(r) of the Act, which modifies the methodology for computing the 
Medicare DSH payment adjustment beginning in FY 2014. Beginning in 
FY 2014, IPPS hospitals receiving Medicare DSH payment adjustments 
receive an empirically justified Medicare DSH payment equal to 25 
percent of the amount that would previously have been received under 
the statutory formula set forth under section 1886(d)(5)(F) of the 
Act governing the Medicare DSH payment adjustment. In accordance 
with section 1886(r)(2) of the Act, the remaining amount, equal to 
an estimate of 75 percent of what otherwise would have been paid as 
Medicare DSH payments, reduced to reflect changes in the percentage 
of individuals who are uninsured and any additional statutory 
adjustment, is available to make additional payments to Medicare DSH 
hospitals based on their share of the total amount of uncompensated 
care reported by Medicare DSH hospitals for a given time period. In 
order to properly determine aggregate payments on each side of the 
comparison for budget neutrality, prior to FY 2014, we included 
estimated Medicare DSH payments on both sides of our comparison of 
aggregate payments when determining all budget neutrality factors 
described in section II.A.4. of this Addendum.
    Consistent with prior fiscal years, we are proposing to include 
estimated empirically justified Medicare DSH payments that would be 
paid in accordance with section 1886(r)(1) of the Act and estimates 
of the additional uncompensated care payments made to hospitals 
receiving Medicare DSH payment adjustments as described by section 
1886(r)(2) of the Act. That is, we are proposing to consider 
estimated empirically justified Medicare DSH payments at 25 percent 
of what would otherwise have been paid, and also the estimated 
additional uncompensated care payments for hospitals receiving 
Medicare DSH payment adjustments on both sides of our comparison of 
aggregate payments when determining all budget neutrality factors 
described in section II.A.4. of this Addendum.
    We also are proposing to include the estimated supplemental 
payments for eligible IHS/Tribal hospitals and Puerto Rico hospitals 
on both sides of our comparison of aggregate payments when 
determining all budget neutrality factors described in section 
II.A.4. of this Addendum.
     When calculating total payments for budget neutrality, 
to determine total payments for SCHs, we model total hospital-
specific rate payments and total Federal rate payments and then 
include whichever one of

[[Page 18427]]

the total payments is greater. As discussed in section IV.G. of the 
preamble to this proposed rule and later in this section, we are 
proposing to continue to use the FY 2014 finalized methodology under 
which we take into consideration uncompensated care payments in the 
comparison of payments under the Federal rate and the hospital-
specific rate for SCHs. Therefore, we are proposing to include 
estimated uncompensated care payments in this comparison.
    As discussed elsewhere in this proposed rule, section 2202 of 
the Full-Year Continuing Appropriations and Extensions Act, 2025 
extended the MDH program through FY 2025. Therefore, under current 
law, the MDH program will expire for discharges on or after October 
1, 2025. If the MDH program were to be extended by law into FY 2026, 
we would, depending on the timing of such legislation in relation to 
the final rule, include the total payments for MDHs in the budget 
neutrality discussed in this section. We note, for the final rule, 
if the MDH program were extended by law into FY 2026, consistent 
with historical practice for MDHs, when computing payments under the 
Federal national rate plus 75 percent of the difference between the 
payments under the Federal national rate and the payments under the 
updated hospital-specific rate, we would continue to take into 
consideration uncompensated care payments in the computation of 
payments under the Federal rate and the hospital-specific rate for 
MDHs under any such extension.
     We are proposing to include an adjustment to the 
standardized amount for those hospitals that are not meaningful EHR 
users in our modeling of aggregate payments for budget neutrality 
for FY 2026. Similar to FY 2025, we are including this adjustment 
based on data on the prior year's performance. Payments for 
hospitals would be estimated based on the proposed applicable 
standardized amount in Tables 1A and 1B for discharges occurring in 
FY 2026.
     In our determination of all budget neutrality factors 
described in section II.A.4. of this Addendum, we used transfer-
adjusted discharges.
    We note, in the FY 2023 IPPS/LTCH PPS final rule (87 FR 49414 
through 49415), we finalized a change to the ordering of the budget 
neutrality factors in the calculation so that the RCH Demonstration 
budget neutrality factor is applied after all wage index and other 
budget neutrality factors. We refer the reader to the FY 2023 IPPS/
LTCH PPS final rule for further discussion.

a. Proposed Reclassification and Recalibration of MS-DRG Relative 
Weights Before Cap

    Section 1886(d)(4)(C)(iii) of the Act specifies that, beginning 
in FY 1991, the annual DRG reclassification and recalibration of the 
relative weights must be made in a manner that ensures that 
aggregate payments to hospitals are not affected. As discussed in 
section II.D. of the preamble of this proposed rule, we normalized 
the recalibrated MS-DRG relative weights by an adjustment factor so 
that the average case relative weight after recalibration is equal 
to the average case relative weight prior to recalibration. However, 
equating the average case relative weight after recalibration to the 
average case relative weight before recalibration does not 
necessarily achieve budget neutrality with respect to aggregate 
payments to hospitals because payments to hospitals are affected by 
factors other than average case relative weight. Therefore, as we 
have done in past years, we are proposing to make a budget 
neutrality adjustment to ensure that the requirement of section 
1886(d)(4)(C)(iii) of the Act is met.
    For this FY 2026 proposed rule, to comply with the requirement 
that MS-DRG reclassification and recalibration of the relative 
weights be budget neutral for the standardized amount and the 
hospital-specific rates, we used FY 2024 discharge data to simulate 
payments and compared the following:
     Aggregate payments using the FY 2025 labor-related 
share percentages, the FY 2025 relative weights, and the FY 2025 
pre-reclassified wage data, and applied the proxy hospital 
readmissions payment adjustments and proxy hospital VBP payment 
adjustments (as described previously); and
     Aggregate payments using the FY 2025 labor-related 
share percentages, the proposed FY 2026 relative weights before 
applying the 10-percent cap, and the FY 2025 pre-reclassified wage 
data, and applied the same proxy hospital readmissions payment 
adjustments and proxy hospital VBP payment adjustments applied 
previously.
    Because this payment simulation uses the proposed FY 2026 
relative weights (before applying the 10-percent cap), consistent 
with our proposal in section V.I. of the preamble to this proposed 
rule, we applied the proposed adjustor for certain cases that group 
to MS-DRG 018 in our simulation of these payments. We note that 
because the simulations of payments for all of the budget neutrality 
factors discussed in this section also use the FY 2026 relative 
weights, we are proposing to apply the adjustor for certain MS-DRG 
018 (Chimeric Antigen Receptor (CAR) T-cell and other 
immunotherapies) cases in all simulations of payments for the budget 
neutrality factors discussed later in this section. We refer the 
reader to section V.I. of the preamble of this proposed rule for a 
complete discussion on the proposed adjustor for certain cases that 
group to MS-DRG 018 and to section II.D.2.b. of the preamble of this 
proposed rule, for a complete discussion of the proposed adjustment 
to the FY 2026 relative weights to account for certain cases that 
group to MS-DRG 018.
    Based on this comparison, we computed a proposed budget 
neutrality adjustment factor and applied this factor to the 
standardized amount. As discussed in section IV. of this Addendum, 
we are proposing to apply the MS-DRG reclassification and 
recalibration budget neutrality factor to the hospital-specific 
rates that are effective for cost reporting periods beginning on or 
after October 1, 2025. Please see the table later in this section 
setting forth each of the proposed FY 2026 budget neutrality 
factors.

b. Proposed Budget Neutrality Adjustment for Reclassification and 
Recalibration of MS-DRG Relative Weights With Cap

    As discussed in section II.D.2.c. of the preamble of this 
proposed rule, in the FY 2023 IPPS/LTCH PPS final rule (87 FR 48897 
through 48900), we finalized a permanent 10-percent cap on the 
reduction in an MS-DRG's relative weight in a given fiscal year, 
beginning in FY 2023. As also discussed in section II.D.2.c. of the 
preamble of this proposed rule, and consistent with our current 
methodology for implementing budget neutrality for MS-DRG 
reclassification and recalibration of the relative weights under 
section 1886(d)(4)(C)(iii) of the Act, we apply a budget neutrality 
adjustment to the standardized amount for all hospitals so that this 
10-percent cap on relative weight reductions does not increase 
estimated aggregate Medicare payments beyond the payments that would 
be made had we never applied this cap. We refer the reader to the FY 
2023 IPPS/LTCH PPS final rule for further discussion.
    To calculate this proposed budget neutrality adjustment factor 
for FY 2026, we used FY 2024 discharge data to simulate payments and 
compared the following:
     Aggregate payments using the FY 2025 labor-related 
share percentages, the proposed FY 2026 relative weights before 
applying the 10-percent cap, and the FY 2025 pre-reclassified wage 
data, and applied the proposed proxy FY 2026 hospital readmissions 
payment adjustments and the proposed proxy FY 2026 hospital VBP 
payment adjustments; and
     Aggregate payments using the FY 2025 labor-related 
share percentages, the proposed FY 2026 relative weights after 
applying the 10-percent cap, and the FY 2025 pre-reclassified wage 
data, and applied the same proposed proxy FY 2026 hospital 
readmissions payment adjustments and proposed proxy FY 2026 hospital 
VBP payment adjustments applied previously.
    Because this payment simulation uses the proposed FY 2026 
relative weights, consistent with our proposal in section V.I. of 
the preamble to this proposed rule and our historical policy, and as 
discussed in the preceding section, we applied the proposed adjustor 
for certain cases that group to MS-DRG 018 in our simulation of 
these payments.
    In addition, we applied the proposed MS-DRG reclassification and 
recalibration budget neutrality adjustment factor before the cap 
(derived in the first step) to the payment rates that were used to 
simulate payments for this comparison of aggregate payments from FY 
2025 to FY 2026. Based on this comparison, we computed a proposed 
budget neutrality adjustment factor and applied this factor to the 
standardized amount. As discussed in section IV. of this Addendum, 
as we are proposing to apply this budget neutrality factor to the 
hospital-specific rates that are effective for cost reporting 
periods beginning on or after October 1, 2024. Please see the table 
later in this section setting forth each of the proposed FY 2026 
budget neutrality factors.

[[Page 18428]]

c. Updated Wage Index--Proposed Budget Neutrality Adjustment

    Section 1886(d)(3)(E)(i) of the Act requires us to update the 
hospital wage index on an annual basis beginning October 1, 1993. 
This provision also requires us to make any updates or adjustments 
to the wage index in a manner that ensures that aggregate payments 
to hospitals are not affected by the change in the wage index. 
Section 1886(d)(3)(E)(i) of the Act requires that we implement the 
wage index adjustment in a budget neutral manner. However, section 
1886(d)(3)(E)(ii) of the Act sets the labor-related share at 62 
percent for hospitals with a wage index less than or equal to 
1.0000, and section 1886(d)(3)(E)(i) of the Act provides that the 
Secretary shall calculate the budget neutrality adjustment for the 
adjustments or updates made under that provision as if section 
1886(d)(3)(E)(ii) of the Act had not been enacted. In other words, 
this section of the statute requires that we implement the updates 
to the wage index in a budget neutral manner, but that our budget 
neutrality adjustment should not take into account the requirement 
that we set the labor-related share for hospitals with wage indexes 
less than or equal to 1.0000 at the more advantageous level of 62 
percent. Therefore, for purposes of this budget neutrality 
adjustment, section 1886(d)(3)(E)(i) of the Act prohibits us from 
taking into account the fact that hospitals with a wage index less 
than or equal to 1.0000 are paid using a labor-related share of 62 
percent. Consistent with current policy, for FY 2026, we are 
proposing to adjust 100 percent of the wage index factor for 
occupational mix. We describe the occupational mix adjustment in 
section III.D. of the preamble of this proposed rule.
    To compute a proposed budget neutrality adjustment factor for 
wage index and labor-related share percentage changes, we used FY 
2024 discharge data to simulate payments and compared the following:
     Aggregate payments using the proposed FY 2026 relative 
weights and the FY 2025 pre-reclassified wage indexes, applied the 
FY 2025 labor-related share of 67.6 percent to all hospitals 
(regardless of whether the hospital's wage index was above or below 
1.0000), and applied the proxy FY 2026 hospital readmissions payment 
adjustment and the proxy FY 2026 hospital VBP payment adjustment.
     Aggregate payments using the proposed FY 2026 relative 
weights and the proposed FY 2026 pre-reclassified wage indexes, 
applied the proposed labor-related share for FY 2026 of 66.0 percent 
to all hospitals (regardless of whether the hospital's wage index 
was above or below 1.0000), and applied the same proxy FY 2026 
hospital readmissions payment adjustments and proxy FY 2026 hospital 
VBP payment adjustments applied previously.
    In addition, we applied the proposed MS-DRG reclassification and 
recalibration budget neutrality adjustment factor before the 
proposed cap (derived in the first step) and the 10-percent cap on 
relative weight reductions adjustment factor (derived from the 
second step) to the payment rates that were used to simulate 
payments for this comparison of aggregate payments from FY 2025 to 
FY 2026. Based on this comparison, we computed a proposed budget 
neutrality adjustment factor and applied this factor to the 
standardized amount for changes to the wage index. Please see the 
table later in this section for a summary of the proposed FY 2026 
budget neutrality factors.

d. Reclassified Hospitals--Proposed Budget Neutrality Adjustment

    Section 1886(d)(8)(B) of the Act provides that certain rural 
hospitals are deemed urban. In addition, section 1886(d)(10) of the 
Act provides for the reclassification of hospitals based on 
determinations by the MGCRB. Under section 1886(d)(10) of the Act, a 
hospital may be reclassified for purposes of the wage index.
    Under section 1886(d)(8)(D) of the Act, the Secretary is 
required to adjust the standardized amount to ensure that aggregate 
payments under the IPPS after implementation of the provisions of 
sections 1886(d)(8)(B) and (C) and 1886(d)(10) of the Act are equal 
to the aggregate prospective payments that would have been made 
absent these provisions. We note, in the FY 2024 IPPS/LTCH final 
rule (88 FR 58971 through 58977), we finalized a policy beginning 
with FY 2025 to include hospitals with Sec.  412.103 
reclassification along with geographically rural hospitals in all 
rural wage index calculations, and only exclude ``dual reclass'' 
hospitals (hospitals with simultaneous Sec.  412.103 and MGCRB 
reclassifications) in accordance with the hold harmless provision at 
section 1886(d)(8)(C)(ii) of the Act. Consistent with the previous 
policy, beginning with FY 2024, we include the data of all Sec.  
412.103 hospitals (including those that have an MGCRB 
reclassification) in the calculation of ``the wage index for rural 
areas in the State in which the county is located'' as referred to 
in section 1886(d)(8)(C)(iii) of the Act.
    We refer the reader to the FY 2015 IPPS final rule (79 FR 50371 
and 50372) for a complete discussion regarding the requirement of 
section 1886(d)(8)(C)(iii) of the Act. We further note that the wage 
index adjustments provided for under section 1886(d)(13) of the Act 
are not budget neutral. Section 1886(d)(13)(H) of the Act provides 
that any increase in a wage index under section 1886(d)(13) of the 
Act shall not be taken into account in applying any budget 
neutrality adjustment with respect to such index under section 
1886(d)(8)(D) of the Act. To calculate the proposed budget 
neutrality adjustment factor for FY 2026, we used FY 2024 discharge 
data to simulate payments and compared the following:
     Aggregate payments using the proposed FY 2026 labor-
related share percentage, the proposed FY 2026 relative weights, and 
the proposed FY 2026 wage data prior to any reclassifications under 
sections 1886(d)(8)(B) and (C) and 1886(d)(10) of the Act, and 
applied the proxy FY 2026 hospital readmissions payment adjustments 
and the proxy FY 2026 hospital VBP payment adjustments.
     Aggregate payments using the proposed FY 2026 labor-
related share percentage, the proposed FY 2026 relative weights, and 
the proposed FY 2026 wage data after such reclassifications, and 
applied the same proxy FY 2026 hospital readmissions payment 
adjustments and the proxy FY 2026 hospital VBP payment adjustments 
applied previously.
    We note that the reclassifications applied under the second 
simulation and comparison are those listed in Table 2 associated 
with this proposed rule, which is available via the internet on the 
CMS website. This table reflects reclassification crosswalks for FY 
2026 and applies the policies explained in section III. of the 
preamble of this proposed rule. Based on this comparison, we 
computed a proposed budget neutrality adjustment factor and applied 
this proposed factor to the standardized amount to ensure that the 
effects of these provisions are budget neutral, consistent with the 
statute. Please see the table later in this section for a summary of 
the proposed FY 2026 budget neutrality factors.
    The proposed FY 2026 budget neutrality adjustment factor was 
applied to the standardized amount after removing the effects of the 
FY 2025 budget neutrality adjustment factor. We note that the 
proposed FY 2026 budget neutrality adjustment reflects FY 2026 wage 
index reclassifications approved by the MGCRB or the Administrator 
at the time of development of this proposed rule.

e. Proposed Rural Floor Budget Neutrality Adjustment

    Under Sec.  412.64(e)(4), we make an adjustment to the wage 
index to ensure that aggregate payments after implementation of the 
rural floor under section 4410 of the BBA (Pub. L. 105-33) are equal 
to the aggregate prospective payments that would have been made in 
the absence of this provision. Consistent with section 3141 of the 
Affordable Care Act and as discussed in section III.G. of the 
preamble of this proposed rule and codified at Sec.  
412.64(e)(4)(ii), the budget neutrality adjustment for the rural 
floor is a national adjustment to the wage index.
    Similar to our calculation in the FY 2015 IPPS/LTCH PPS final 
rule (79 FR 50369 through 50370), for FY 2026, we are proposing to 
calculate a national rural Puerto Rico wage index. Because there are 
no rural Puerto Rico hospitals with established wage data, our 
calculation of the FY 2026 rural Puerto Rico wage index is based on 
the policy adopted in the FY 2008 IPPS final rule with comment 
period (72 FR 47323). That is, we use the unweighted average of the 
wage indexes from all CBSAs (urban areas) that are contiguous to 
(share a border with) the rural counties to compute the rural floor 
(72 FR 47323; 76 FR 51594). Under the OMB labor market area 
delineations, all urban Puerto Rico urban areas are contiguous to a 
rural area. Therefore, based on our existing policy, the proposed FY 
2026 rural Puerto Rico wage index is calculated based on the average 
of the proposed FY 2026 wage indexes for the following urban areas: 
Aguadilla, PR (CBSA 10380); Arecibo, PR (CBSA 11640), Guayama, PR 
(CBSA 25020); Mayaguez, PR (CBSA 32420); Ponce, PR (CBSA 38660); and 
San Juan-Bayamon-Caguas, PR (CBSA 41980).
    We note, in the FY 2024 IPPS/LTCH final rule (88 FR 58971-77), 
we finalized a policy

[[Page 18429]]

beginning with FY 2025 to include hospitals with Sec.  412.103 
reclassification along with geographically rural hospitals in all 
rural wage index calculations and are only excluding ``dual 
reclass'' hospitals (hospitals with simultaneous Sec.  412.103 and 
MGCRB reclassifications) in accordance with the hold harmless 
provision at section 1886(d)(8)(C)(ii) of the Act. Consistent with 
the previous policy, beginning with FY 2024, we include the data of 
all Sec.  412.103 hospitals (including those that have an MGCRB 
reclassification) in the calculation of the rural floor.
    To calculate the proposed national rural floor budget neutrality 
adjustment factor, we used FY 2024 discharge data to simulate 
payments, and the post-reclassified national wage indexes and 
compared the following:
     National simulated payments without the rural floor.
     National simulated payments with the rural floor.
    Based on this comparison, we determined a proposed national 
rural floor budget neutrality adjustment factor. The proposed 
national adjustment was applied to the national wage indexes to 
produce proposed rural floor budget neutral wage indexes. Please see 
the table later in this section for a summary of the proposed FY 
2026 budget neutrality factors.
    As further discussed in section III.G.2. of this proposed rule, 
we note that section 9831 of the American Rescue Plan Act of 2021 
(Pub. L. 117-2), enacted on March 11, 2021 amended section 
1886(d)(3)(E)(i) of the Act (42 U.S.C. 1395ww(d)(3)(E)(i)) and added 
section 1886(d)(3)(E)(iv) of the Act to establish a minimum area 
wage index (or imputed floor) for hospitals in all-urban States for 
discharges occurring on or after October 1, 2022. Unlike the imputed 
floor that was in effect from FY 2005 through FY 2018, section 
1886(d)(3)(E)(iv)(III) of the Act provides that the imputed floor 
wage index shall not be applied in a budget neutral manner. 
Specifically, section 9831(b) of Public Law 117-2 amends section 
1886(d)(3)(E)(i) of the Act to exclude the imputed floor from the 
budget neutrality requirement under section 1886(d)(3)(E)(i) of the 
Act. In the past, we budget neutralized the estimated increase in 
payments each year resulting from the imputed floor that was in 
effect from FY 2005 through FY 2018. For FY 2022 and subsequent 
years, in applying the imputed floor required under section 
1886(d)(3)(E)(iv) of the Act, we are applying the imputed floor 
after the application of the rural floor and would apply no 
reductions to the standardized amount or to the wage index to fund 
the increase in payments to hospitals in all-urban States resulting 
from the application of the imputed floor. We refer the reader to 
section III.G.2. of the preamble of this proposed rule for a 
complete discussion regarding the imputed floor.

f. Permanent Cap Policy for Wage Index--Proposed Budget Neutrality 
Adjustment

    As noted previously, in section III.G.6. of the preamble to this 
proposed rule, in the FY 2023 IPPS/LTCH PPS final rule (87 FR 49018 
through 49021) we finalized a policy to apply a 5-percent cap on any 
decrease to a hospital's wage index from its wage index in the prior 
FY, regardless of the circumstances causing the decline. That is, a 
hospital's wage index would not be less than 95 percent of its final 
wage index for the prior FY. We also finalized the application of 
this permanent cap policy in a budget neutral manner through an 
adjustment to the standardized amount to ensure that estimated 
aggregate payments under our wage index cap policy for hospitals 
that will have a decrease in their wage indexes for the upcoming 
fiscal year of more than 5 percent will equal what estimated 
aggregate payments would have been without the permanent cap policy.
    To calculate a wage index cap budget neutrality adjustment 
factor for FY 2026, we used FY 2024 discharge data to simulate 
payments and compared the following:
     Aggregate payments without the 5-percent cap using the 
proposed FY 2026 labor-related share percentages, the proposed FY 
2026 relative weights, and applied the proposed proxy FY 2026 
hospital readmissions payment adjustments and the proposed proxy FY 
2026 hospital VBP payment adjustments.
     Aggregate payments with the 5-percent cap using the 
proposed FY 2026 labor-related share percentages, the proposed FY 
2026 relative weights, and applied the same proxy FY 2026 hospital 
readmissions payment adjustments and the proposed proxy FY 2026 
hospital VBP payment adjustments applied previously.

g. Proposed Transition for the Discontinuation of the Low Wage Index 
Hospital Policy Budget Neutrality Factor

    As discussed in section III.G.5. of the preamble to this 
proposed rule, in the FY 2025 IFC we recalculated the FY 2025 IPPS 
hospital wage index to remove the low wage index hospital policy for 
FY 2025. We also removed the low wage index budget neutrality factor 
from the FY 2025 standardized amounts. For FY 2026 and subsequent 
fiscal years, after considering the D.C. Circuit's decision in 
Bridgeport Hosp. v. Becerra, we are proposing to discontinue the low 
wage index hospital policy. Because we are proposing to discontinue 
the low wage index hospital policy for FY 2026 and subsequent fiscal 
years we would no longer apply the low wage index budget neutrality 
factor to the standardized amounts.
    As noted previously, in section III.G.7. of the preamble to this 
proposed rule, we are proposing to use our authority under section 
1886(d)(5)(I)(i) of the Act twice. First, to adopt a narrow 
transitional exception to the calculation of FY 2026 IPPS payments 
for low wage index hospitals significantly impacted by the 
discontinuation of the low wage index hospital policy, and then 
again to do so in a budget neutral manner. To calculate the proposed 
transition wage index budget neutrality adjustment factor for FY 
2026, we used FY 2024 discharge data to simulate payments and 
compared the following:
     Aggregate payments without the proposed transition for 
the discontinuation of the low wage index hospital policy, the 5-
percent cap using the proposed FY 2026 labor-related share 
percentages, the proposed FY 2026 relative weights, and applied the 
proposed proxy FY 2026 hospital readmissions payment adjustments and 
the proposed proxy FY 2026 hospital VBP payment adjustments.
     Aggregate payments with the proposed transition for the 
discontinuation of the low wage index hospital policy, the 5-percent 
cap using the proposed FY 2026 labor-related share percentages, the 
proposed FY 2026 relative weights, and applied the same proxy FY 
2026 hospital readmissions payment adjustments and the proposed 
proxy FY 2026 hospital VBP payment adjustments applied previously. 
This proposed FY 2026 budget neutrality adjustment factor was 
applied to the standardized amount.
    We note, Table 2 associated with this proposed rule contains the 
wage index by provider before and after applying 5 percent cap and 
the proposed transition for the discontinuation of the low wage 
index hospital policy.

h. Proposed Rural Community Hospital Demonstration Program Adjustment

    In section VI.N. of the preamble of this proposed rule, we 
discuss the Rural Community Hospital (RCH) Demonstration program, 
which was originally authorized for a 5-year period by section 410A 
of the Medicare Prescription Drug, Improvement, and Modernization 
Act of 2003 (MMA) (Pub. L. 108-173), and extended for another 5-year 
period by sections 3123 and 10313 of the Affordable Care Act (Pub. 
L. 111-148). Subsequently, section 15003 of the 21st Century Cures 
Act (Pub. L. 114-255), enacted December 13, 2016, amended section 
410A of Public Law 108-173 to require a 10-year extension period (in 
place of the 5-year extension required by the Affordable Care Act, 
as further discussed later in this section). Finally, Division CC, 
section 128(a) of the Consolidated Appropriations Act of 2021 (Pub. 
L. 116-260) again amended section 410A to require a 15-year 
extension period in place of the 10-year period. We make an 
adjustment to the standardized amount to ensure the effects of the 
RCH Demonstration program are budget neutral as required under 
section 410A(c)(2) of Public Law 108-173. We refer readers to 
section VI.N. of the preamble of this proposed rule for complete 
details regarding the Rural Community Hospital Demonstration.
    With regard to budget neutrality, as mentioned earlier, we make 
an adjustment to the standardized amount to ensure the effects of 
the Rural Community Hospital Demonstration are budget neutral, as 
required under section 410A(c)(2) of Public Law 108-173. For FY 
2026, based on the latest data for this proposed rule, the total 
amount that we are applying to make an adjustment to the 
standardized amounts to ensure the effects of the Rural Community 
Hospital Demonstration program are budget neutral is $ 47,527,557. 
Accordingly, using the most recent data available to account for the 
estimated costs of the demonstration program, for FY 2026, we 
computed a factor for the Rural Community Hospital Demonstration 
budget neutrality adjustment that would be applied to the 
standardized amount. Please see the table later in this section for 
a summary of the Proposed FY 2026 budget neutrality factors. We 
refer readers to section VI.N. of the preamble of

[[Page 18430]]

this proposed rule on complete details regarding the calculation of 
the amount we are applying to make an adjustment to the standardized 
amounts.
    The following table is a summary of the proposed FY 2026 budget 
neutrality factors, as discussed in the previous sections.

          Summary of Proposed FY 2026 Budget Neutrality Factors
------------------------------------------------------------------------
 
------------------------------------------------------------------------
MS[dash]DRG Reclassification and Recalibration Budget           0.998422
 Neutrality Factor......................................
Cap Policy MS-DRG Weights Budget Neutrality Factor......        0.999938
Wage Index Budget Neutrality Factor.....................        1.001273
Reclassification Budget Neutrality Factor...............        0.976960
* Rural Floor Budget Neutrality Factor..................        0.985942
Cap Policy Wage Index Budget Neutrality Factor..........        0.993116
Transition for the Discontinuation of the Low Wage Index        0.999741
 Hospital Policy Budget Neutrality Factor...............
Rural Demonstration Budget Neutrality Factor............        0.999548
------------------------------------------------------------------------
* The rural floor budget neutrality factor is applied to the national
  wage indexes while the rest of the budget neutrality adjustments are
  applied to the standardized amounts.

i. Proposed Outlier Payments

    Section 1886(d)(5)(A) of the Act provides for payments in 
addition to the basic prospective payments for ``outlier'' cases 
involving extraordinarily high costs. To qualify for outlier 
payments, a case must have costs greater than the sum of the 
prospective payment rate for the MS-DRG, any IME and DSH payments, 
uncompensated care payments, supplemental payment for eligible IHS/
Tribal hospitals and Puerto Rico hospitals, any new technology add-
on payments, and the ``outlier threshold'' or ``fixed-loss'' amount 
(a dollar amount by which the costs of a case must exceed payments 
in order to qualify for an outlier payment). We refer to the sum of 
the prospective payment rate for the MS-DRG, any IME and DSH 
payments, uncompensated care payments, supplemental payment for 
eligible IHS/Tribal hospitals and Puerto Rico hospitals, any new 
technology add-on payments, and the outlier threshold as the outlier 
``fixed-loss cost threshold.'' To determine whether the costs of a 
case exceed the fixed-loss cost threshold, a hospital's CCR is 
applied to the total covered charges for the case to convert the 
charges to estimated costs. Payments for eligible cases are then 
made based on a marginal cost factor, which is a percentage of the 
estimated costs above the fixed-loss cost threshold. The marginal 
cost factor for FY 2026 is 80 percent, or 90 percent for burn MS-
DRGs 927, 928, 929, 933, 934 and 935. We have used a marginal cost 
factor of 90 percent since FY 1989 (54 FR 36479 through 36480) for 
designated burn DRGs as well as a marginal cost factor of 80 percent 
for all other DRGs since FY 1995 (59 FR 45367).
    In accordance with section 1886(d)(5)(A)(iv) of the Act, outlier 
payments for any year are projected to be not less than 5 percent 
nor more than 6 percent of total operating DRG payments (which does 
not include IME and DSH payments) plus outlier payments. When 
setting the outlier threshold, we compute the percent target by 
dividing the total projected operating outlier payments by the total 
projected operating DRG payments plus projected operating outlier 
payments. As discussed in the next section, for FY 2026, we are 
incorporating an estimate of the impact of outlier reconciliation 
when setting the outlier threshold. We do not include any other 
payments such as IME and DSH within the outlier target amount. 
Therefore, it is not necessary to include Medicare Advantage IME 
payments in the outlier threshold calculation. Section 1886(d)(3)(B) 
of the Act requires the Secretary to reduce the average standardized 
amount by a factor to account for the estimated total of outlier 
payments as a proportion of total DRG payments. More information on 
outlier payments may be found on the CMS website at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/outlier.html.

(1) Methodology To Incorporate a Proposed Estimate of the Impact of 
Outlier Reconciliation in the FY 2026 Outlier Fixed-Loss Cost Threshold

    The regulations in 42 CFR 412.84(i)(4) state that any outlier 
reconciliation at cost report settlement will be based on operating 
and capital cost-to-charge ratios (CCRs) calculated based on a ratio 
of costs to charges computed from the relevant cost report and 
charge data determined at the time the cost report coinciding with 
the discharge is settled. Instructions for outlier reconciliation 
are in section 20.1.2.5 of chapter 3 of the Claims Processing Manual 
(available at https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/Downloads/clm104c03.pdf). The original instructions issued 
in July 2003 \1\ instruct MACs to identify for CMS any instances 
where: (1) a hospital's actual operating CCR for the cost reporting 
period fluctuates plus or minus 10 percentage points or more 
compared to the interim operating CCR used to calculate outlier 
payments when a bill is processed; and (2) the total operating and 
capital outlier payments for the hospital exceeded $500,000 for that 
cost reporting period. Cost reports that meet these criteria will 
have the hospital's outlier payments reconciled at the time of cost 
report final settlement if approved by the CMS Central Office. For 
the remainder of this discussion, we refer to these criteria as the 
original criteria for outlier reconciliation (or the original 
criteria).
---------------------------------------------------------------------------

    \1\ Change Request 2785 (Transmittal A-03-058; July 3, 2003) 
found at https://www.cms.gov/regulations-and-guidance/guidance/transmittals/downloads/a03058.pdf.
---------------------------------------------------------------------------

    On March 28, 2024, we issued Change Request (CR) 13566, which is 
available at https://www.cms.gov/medicare/regulations-guidance/transmittals/2024-transmittals/r12558cp. CR 13566 provides 
additional instructions to MACs that expand the criteria for 
identifying cost reports MACs are to refer to CMS for approval of 
outlier reconciliation. As discussed in the FY 2025 IPPS/LTCH final 
rule, we anticipate that MACs will identify more cost reports to 
refer to CMS for outlier reconciliation approval. Specifically, CR 
13566 states that for cost reports beginning on or after October 1, 
2024, MACs shall identify for CMS any instances where: (1) the 
actual operating CCR is found to be plus or minus 20 percent or more 
from the operating CCR used during that time period to make outlier 
payments, and (2) the total operating and capital outlier payments 
for the hospital exceeded $500,000 for that cost reporting period. 
For the remainder of this discussion, we refer to these criteria as 
the new criteria for outlier reconciliation (or the new criteria). 
These new criteria for identifying hospital cost reports that MACs 
identify for outlier reconciliation approval are in addition to the 
original criteria for reconciliation described previously. That is, 
under the new criteria, MACs identify hospitals for outlier 
reconciliation approval that would not have met the original 
criteria. In addition, CR 13566 instructs that for cost reporting 
periods that begin on or after October 1, 2024, a hospital in its 
first cost reporting period will be referred for approval of 
reconciliation of outlier payments at the time of cost report final 
settlement. As such, new hospitals will be referred for outlier 
reconciliation approval regardless of the change to the operating 
CCR and no matter the amount of outlier payments during the cost 
reporting period. If we determine that a hospital's outlier payments 
should be reconciled, we reconcile both operating and capital 
outlier payments. We refer readers to section 20.1.2.5 of Chapter 3 
of the Medicare Claims Processing Manual for complete instructions 
regarding outlier reconciliation, including the update to the 
outlier reconciliation criteria provided in CR 13566. (Refer to the 
FY 2025 IPPS/LTCH PS final rule for additional information (89 FR 
69950).)
    In the FY 2020 IPPS/LTCH PPS final rule (84 FR 42623 through 
42635), we finalized a methodology to incorporate outlier 
reconciliation in the FY 2020 outlier fixed loss cost threshold. As 
discussed in the FY 2020 IPPS/LTCH PPS proposed rule (84 FR 19592), 
we stated that rather than trying to predict which claims and/or 
hospitals may be subject to outlier reconciliation, we

[[Page 18431]]

believe a methodology that incorporates an estimate of outlier 
reconciliation dollars based on actual outlier reconciliation 
amounts reported in historical cost reports would be a more feasible 
approach and provide a better estimate and predictor of outlier 
reconciliation for the upcoming fiscal year. We also stated that we 
believe the methodology addresses stakeholder's concerns on the 
impact of outlier reconciliation on the modeling of the outlier 
threshold. (For a detailed discussion of additional background 
regarding outlier reconciliation, we refer the reader to the FY 2020 
IPPS/LTCH PPS final rule.)
    As discussed in the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69949 through 69955), we finalized changes to our methodology to 
incorporate an estimate of outlier reconciliation in the FY 2025 
outlier fixed loss cost threshold to reflect the estimated 
reconciled outlier payments under the new criteria in CR 13566 
(described previously). In that final rule, we provided step by step 
details under our methodology to incorporate a projection of outlier 
payment reconciliations for the FY 2025 outlier threshold 
calculation. We refer the reader to the FY 2025 IPPS/LTCH final rule 
for complete details (89 FR 69950 through 69955).

(a) Incorporating a Proposed Projection of Outlier Reconciliations for 
the FY 2026 Outlier Threshold Calculation

    Under our methodology for incorporating a projection of outlier 
reconciliation for the outlier threshold calculation, for each year, 
we typically advance the historical data used by 1 year, using cost 
report data that is on a 6-year lag, which is typically the most 
recent and complete available data to project the estimate of 
outlier reconciliation. Accordingly, for FY 2025 we used FY 2019 
cost report data. Because the new criteria were not effective until 
FY 2025 cost reports, to estimate outlier reconciliation dollars 
under the new criteria, we applied the new criteria to FY 2019 cost 
reports as if they had been in place at the time of final cost 
report settlement.
    For FY 2026, we evaluated the use of the FY 2020 cost report 
data under our methodology as established in FY 2020 and modified in 
the FY 2025 IPPS/LTCH PPS final rule, to incorporate a projection of 
operating outlier reconciliations for the FY 2026 outlier threshold 
calculation (that is, the FY 2020 methodology as modified in FY 2025 
to reflect additional cost reports that would be identified for 
outlier reconciliation approval under the new criteria in CR 13566). 
Specifically, for FY 2026 we evaluated using the same steps 
finalized in the FY 2025 IPPS/LTCH PPS final rule.
    Specifically, we calculated a projection of outlier 
reconciliation using cost report data from FY 2020 hospital cost 
reports in the December 2024 HCRIS extract that were reconciled 
using the original criteria for referral for outlier reconciliation 
approval. In addition, in calculating this estimate, we used data 
from the Provider Specific File (PSF) and the cost report data to 
identify the FY 2020 cost reports that would have met the new 
criteria if those criteria had been in effect. This allows us to 
account for the additional hospital cost reports that would be 
referred for outlier reconciliation approval as a result of the new 
criteria under our methodology. For purposes of this estimate, we 
used the latest quarterly PSF update (December 2024 for the proposed 
rule).
    As explained above, our 5-step methodology to incorporate a 
projection of outlier payment reconciliations for the outlier 
threshold calculation is described in detail in the FY 2025 IPPS/
LTCH final rule (see 89 FR 69950 through 69952). The 5 steps can be 
summarized as follows:
    Step 1: Identify hospital cost reports that meet the original 
criteria (Step 1a) or the new criteria (Step 1b).
    Step 2: Determine the aggregate amount of operating outlier 
reconciliation dollars (under both the original criteria (Step 2a) 
and the new criteria (Steps 2b)).
    Step 3: Calculate the aggregate amount of total Federal 
operating payments across all applicable hospitals using the cost 
report data.
    Step 4: Determine the percentage of total operating outlier 
reconciliation dollars to total Federal operating payments for the 
cost report data year.
    Step 5: Adjust the outlier target using the percentage from Step 
4.
    With regard to incorporating outlier reconciliation in the FY 
2026 outlier fixed-loss cost threshold, we evaluated the use of the 
most recent available data (as described previously) using the 5-
step methodology as set forth in the FY 2025 IPPS/LTCH PPS final 
rule. As we explain in greater detail in the discussion that 
follows, we found that using the most recent available data under 
our 5-step methodology appears to produce anomalous results that may 
not provide an appropriate estimate and predictor of outlier 
reconciliation for the upcoming fiscal year. (We note, for the 
hospitals identified in Step 1b (hospitals that would be referred 
for outlier reconciliation under the new criteria), for this 
proposed rule we posted a public use file that includes the 
operating CCR calculated from the FY 2020 cost report in the most 
recent publicly available quarterly HCRIS extract (the December 2024 
HCRIS for the proposed rule), the weighted operating CCR used for 
claim payment during the FY 2020 cost reporting period from the 
latest quarterly PSF update (December 2024 for the proposed rule), 
and the supplemental data from the MACs and operating outlier 
payment reported on the FY 2020 cost report.)
    Step 4 of the methodology divides the aggregate amount from Step 
2 \2\ (operating outlier reconciliation dollars under both the 
original criteria and the new criteria or total reconciled dollars) 
by the amount from Step 3 \3\ (total Federal operating payments 
across all applicable hospitals using the cost report data) and 
multiplies the resulting amount by 100 to produce the percentage of 
total operating outlier reconciliation dollars to total Federal 
operating payments (89 FR 69952). As discussed in previous proposed 
and final rules, when the percentage of total operating outlier 
reconciliation dollars to total Federal operating payments in Step 4 
rounds to a negative value, the effect is a decrease to the outlier 
threshold compared to an outlier threshold that is calculated 
without including this estimate of operating outlier reconciliation 
dollars. When the percentage of total operating outlier 
reconciliation dollars to total Federal operating payments in Step 4 
rounds to a positive value, the effect is an increase to the outlier 
threshold compared to an outlier threshold that is calculated 
without including this estimate of operating outlier reconciliation 
dollars.
---------------------------------------------------------------------------

    \2\ Step 2, the numerator of step 4, is the aggregate amount of 
operating outlier reconciliation dollars under both the original 
criteria and the new criteria which is the sum of the amounts from 
Steps 2a and 2b. (89 FR 69951 through 69952).
    \3\ Step 3, the denominator of step 4, is the aggregate amount 
of total Federal operating payments across all applicable hospitals 
using the cost report data. The total Federal operating payments 
consist of the Federal payments (Worksheet E, Part A, Line 1.01 and 
Line 1.02, plus Line 1.03 and Line 1.04), outlier payments 
(Worksheet E, Part A, Lines 2.02, 2.03, and 2.04), and the outlier 
reconciliation amounts from Steps 2a and 2b. (89 FR 69952).
---------------------------------------------------------------------------

    Using the most recent available data for this proposed rule (as 
described previously), the ratio calculated under Step 4 of the 
methodology would be 0.095654 percent (($79,574,408/$83,189,787,222) 
x 100), which, when rounded to the second digit, is +0.1 percent. 
Under Step 5 of the methodology, this percentage amount would be 
used to adjust the outlier target for FY 2026. This would mean that 
for FY 2026, we would incorporate a projection of outlier 
reconciliation dollars by targeting an outlier threshold at 5.0 
percent [5.1 percent-(0.1 percent)]. This positive 0.1 percentage 
point is being driven by the numerator in Step 4 (that is, the total 
reconciled dollars or the aggregate operating outlier reconciliation 
dollars under both the original criteria and the new criteria).
    Typically, the total reconciled dollars in Step 2 (the numerator 
of Step 4) is a negative amount reflecting that overall, providers 
would owe the Medicare program money at the time of outlier 
reconciliation, which then produces a negative percentage of 
operating outlier reconciliation dollars to total Federal operating 
payments in Step 4. Using the most recent available data (described 
previously), the total reconciled dollars in Step 2 (the numerator 
of Step 4) is a positive amount reflecting that overall, the 
Medicare program would owe hospitals money at the time of outlier 
reconciliation, which then produces a positive percentage of 
operating outlier reconciliation dollars to total Federal operating 
payments.
    As mentioned above, since FY 2020 we have incorporated outlier 
reconciliation into the outlier fixed loss cost threshold 
calculation. For the outlier fixed loss cost threshold calculation 
for FYs 2020 through 2025, the percentage of operating outlier 
reconciliation dollars to total Federal operating payments from Step 
4 has resulted in a negative value (having the effect of a decrease 
to the outlier threshold). Using the FY 2020 cost report data and 
PSF values described previously under our methodology would be the 
first time that the percentage of

[[Page 18432]]

operating outlier reconciliation dollars to total Federal operating 
payments from Step 4 is a positive value (and would have the effect 
of an increase to the outlier threshold). We believe this positive 
value may be an anomaly and may not be an accurate predictor of 
outlier reconciliations for FY 2026 to use as an estimate of outlier 
reconciliation dollars for incorporating the effect of outlier 
reconciliation in the FY 2026 outlier fixed-loss cost threshold. 
Therefore, rather than use the percentage of total operating outlier 
reconciliation dollars to total Federal operating payments from Step 
4 based on the latest available data (as described previously), for 
purposes of incorporating an estimate of outlier reconciliation into 
the outlier fixed-loss cost threshold calculation for FY 2026, we 
are proposing to hold the data constant and to use the percentage of 
total operating outlier reconciliation dollars to total Federal 
operating payments from Step 4 from the FY 2025 IPPS/LTCH PPS final 
rule which is based on FY 2019 cost reports and PSF data. As 
discussed in that final rule (89 FR 69952), the ratio was a negative 
0.041994 percent ((-$36,439,127/$86,772,005,692) x 100), which, when 
rounded to the second digit, is -0.04 percent. Given the anomaly in 
the most recent available data described earlier, we believe that 
this is the best available data to estimate and predict outlier 
reconciliations for FY 2026 to use to incorporate the effect of 
outlier reconciliation in the FY 2026 outlier fixed-loss cost 
threshold. This percentage amount would then be used to adjust the 
proposed outlier target for FY 2026 as determined in Step 5. (For 
complete details on the calculation, refer to the FY 2025 IPPS/LTCH 
final rule (89 FR 69950 through 69952).)
    Under Step 5 of our methodology, because the outlier 
reconciliation dollars are only available on the cost reports, and 
not in the Medicare claims data in the MedPAR file used to model the 
outlier threshold, we are proposing to target 5.1 percent minus the 
percentage determined under Step 4 in determining the outlier 
threshold. Consistent with the FY 2025 IPPS/LTCH PPS final rule, to 
incorporate a projection of outlier reconciliation dollars, we are 
proposing to target an outlier threshold at an amount higher than 
5.1 percent for outlier payments for FY 2026. Therefore, for FY 
2026, we are proposing to incorporate a projection of outlier 
reconciliation dollars by targeting an outlier threshold at 5.14 
percent [5.1 percent-(-0.04 percent)]. As explained earlier, when 
the aggregate amount of outlier reconciliation as a percent of total 
operating payments rounds to a negative percent, the effect is a 
decrease to the outlier threshold compared to an outlier threshold 
that is calculated without including this estimate of operating 
outlier reconciliation dollars. In section II.A.4.i.(2). of this 
Addendum, we provide the FY 2026 proposed outlier threshold as 
calculated for this proposed rule both with and without including 
this percentage estimate of operating outlier reconciliation.
    Consistent with the approach taken in the FY 2020 IPPS/LTCH PPS 
proposed rule (84 FR 19593), we would continue to use a 5.1 percent 
target (or an outlier offset factor of 0.949) in calculating the 
outlier offset to the standardized amount. Therefore, the proposed 
operating outlier offset to the standardized amount is 0.949 (1-
0.051).
    We note, for the FY 2026 final rule, consistent with our 
historical practice, we plan to evaluate the updated data available 
at the time of the development of that final rule (such as the March 
2025 HCRIS extract of the FY 2020 cost report). We would evaluate 
the use of that updated data in the methodology to assess whether 
that data still shows an anomaly such that it would not be 
appropriate to use in calculating the projection of outlier 
reconciliation dollars for FY 2026 and, depending on the results of 
this evaluation, may consider use of that data for purposes of 
projecting an estimate of outlier reconciliation dollars and 
incorporating that estimate into the modeling for the fixed loss 
cost outlier threshold for FY 2026. We are inviting public comment 
on our proposed methodology for projecting an estimate of outlier 
reconciliation and incorporating that estimate into the modeling for 
the fixed loss cost outlier threshold for FY 2026.

(b) Proposed Adjustment To Account for Capital Outlier Reconciliation 
Payments in the Projected Proportion of Capital IPPS Payments Paid as 
Outliers in Determining the FY 2026 Capital Federal Rate

    We establish an outlier threshold that is applicable to both 
hospital inpatient operating costs and hospital inpatient capital 
related costs (58 FR 46348). Similar to the calculation of the 
adjustment to the standardized amount to account for the projected 
proportion of operating payments paid as outlier payments, as 
discussed in greater detail in section III.A.2. of this Addendum, we 
are proposing to reduce the FY 2026 capital standard Federal rate by 
an adjustment factor to account for the projected proportion of 
capital IPPS payments paid as outliers. The regulations in 42 CFR 
412.84(i)(4) state that any outlier reconciliation at cost report 
settlement would be based on operating and capital CCRs calculated 
based on a ratio of costs to charges computed from the relevant cost 
report and charge data determined at the time the cost report 
coinciding with the discharge is settled. As such, any 
reconciliation also applies to capital outlier payments.
    Under our methodology for incorporating an adjustment to account 
for capital outlier reconciliation payments in the projected 
proportion of capital IPPS payments paid as outliers in determining 
the FY 2026 capital Federal rate, each year, we typically advance 
the historical data used by 1 year and use cost report data that is 
on a six year lag, which is typically the most recent and complete 
available data to project the estimate of outlier reconciliation. 
Accordingly, for FY 2025 we used FY 2019 cost report data. Because 
the new criteria were not effective until FY 2025 cost reports, to 
estimate outlier reconciliation dollars under the new criteria, we 
applied the new criteria to FY 2019 cost reports as if they had been 
in place at the time of final cost report settlement.
    For FY 2026, we evaluated the use of the FY 2020 cost report 
data under the methodology we used for FY 2025 to incorporate an 
adjustment to the FY 2026 capital standard Federal rate to account 
for the projected proportion of capital IPPS payments paid as 
outliers (that is, the FY 2020 methodology as modified in FY 2025 to 
reflect additional cost reports that would be identified for 
reconciliation under the new criteria in CR 13566). Specifically, we 
calculated an estimate of outlier reconciliation using cost report 
data from FY 2020 hospital cost reports in the December 2024 HCRIS 
extract that were reconciled using the original criteria for 
referral for outlier reconciliation. Similarly, in calculating this 
estimate, we used data from the Provider Specific File (PSF) and the 
cost report data to identify the FY 2020 cost reports that would 
have met the new criteria if those criteria had been in effect. This 
allows us to account for the additional hospital cost reports that 
would be referred for outlier reconciliation approval as a result of 
the new criteria under our methodology. For purposes of this 
estimate, we used the latest quarterly PSF update (December 2024) 
for the proposed rule.
    As explained above, in the FY 2025 IPPS/LTCH PPS final rule (89 
FR 699540 through 69955), we finalized changes to our methodology to 
incorporate an estimate of outlier reconciliation in the FY 2025 
outlier fixed loss cost threshold to reflect the estimated 
reconciled outlier payments under the new criteria in CR 13566 
(described previously). In that final rule, we provided step by step 
details under our methodology to incorporate a projection of outlier 
payment reconciliations for the FY 2025 outlier threshold 
calculation. (For complete details on our 5-step methodology to 
incorporate an adjustment to the capital outlier adjustment factor, 
we refer readers to the FY 2025 IPPS/LTCH final rule (89 FR 69953 
through 69955).) The 5 steps can be summarized as follows:
    Step 1: Identify hospital cost reports that meet the original 
criteria (Step 1a) or the new criteria (Step 1b).
    Step 2: Determine the aggregate amount of capital outlier 
reconciliation dollars (under both the original criteria (Step 2a) 
and the new criteria (Steps 2b)).
    Step 3: Calculate the aggregate amount of total Federal capital 
Federal payments across all applicable hospitals using the cost 
report data.
    Step 4: Determine the percentage of total capital outlier 
reconciliation dollars to total capital Federal payments for the 
cost report data year.
    Step 5: Adjust the capital outlier adjustment factor using the 
percentage from Step 4.
    Under this methodology, because the outlier reconciliation 
dollars are only available on the cost reports, and not in the 
specific Medicare claims data in the MedPAR file used to estimate 
outlier payments, in Step 5 the estimate of capital outlier payments 
are determined by adding the percentage determined in Step 4 to the 
estimated percentage of capital outlier payments otherwise 
determined using the shared outlier threshold that is applicable to 
both hospital inpatient operating costs and

[[Page 18433]]

hospital inpatient capital-related costs. (We note that this 
percentage is added for capital outlier payments but subtracted in 
the analogous step for operating outlier payments. We have a unified 
outlier payment methodology that uses a shared threshold to identify 
outlier cases for both operating and capital payments. The 
difference stems from the fact that operating outlier payments are 
determined by first setting a ``target'' percentage of operating 
outlier payments relative to aggregate operating payments which 
produces the outlier threshold. Once the shared threshold is set, it 
is used to estimate the percentage of capital outlier payments to 
total capital payments based on that threshold. Because the 
threshold is already set based on the operating target, rather than 
adjusting the threshold (or operating target), we adjust the 
percentage of capital outlier to total capital payments to account 
for the estimated effect of capital outlier reconciliation payments. 
This percentage is adjusted by adding the capital outlier 
reconciliation percentage from Step 4 to the estimate of the 
percentage of capital outlier payments to total capital payments 
based on the shared threshold.)
    As discussed in previous proposed and final rules, when the 
aggregate capital outlier reconciliation dollars in Step 2 is 
negative, the estimate of capital outlier payments under our 
methodology would be lower than the percentage of capital outlier 
payments otherwise determined using the shared outlier threshold. 
Under Step 5 this would be a relatively smaller outlier budget 
neutrality adjustment factor which would have the effect of an 
increase to the capital Federal rate. When the aggregate capital 
outlier reconciliation dollars from Step 2 are positive, the 
estimate of capital outlier payments under our methodology would be 
higher than the percentage of capital outlier payments otherwise 
determined using the shared outlier threshold. Under Step 5 this 
would be a relatively larger outlier budget neutrality adjustment 
factor which would have the effect of a decrease to the capital 
Federal rate.
    With regard to incorporating an adjustment to account for 
capital outlier reconciliation payments in the projected proportion 
of capital IPPS payments paid as outliers, we evaluated the use of 
the most recent available data (as described previously) using the 
5-step methodology as set forth in the FY 2025 IPPS/LTCH PPS final 
rule. As we explain in greater detail in the discussion that 
follows, we found that using the most recent available data under 
our 5-step methodology appears to produce anomalous results that may 
not provide an appropriate estimate and predictor of outlier 
reconciliation for the upcoming fiscal year. (We note, for the 
hospitals identified in Step 1b (hospitals that would be referred 
for outlier reconciliation approval under the new criteria), for 
this proposed rule we posted a public use file that includes the 
capital CCR calculated from the FY 2020 cost report in the most 
recent publicly available quarterly HCRIS extract (the December 2024 
HCRIS for the proposed rule), the weighted capital CCR used for 
claim payment during the FY 2020 cost reporting period from the 
latest quarterly PSF update (December 2024 for the proposed rule), 
and the supplemental data from the MACs and capital outlier payment 
reported on the FY 2020 cost report.)
    Step 4 of the methodology divides the aggregate amount from Step 
2 \4\ (capital outlier reconciliation dollars under both the 
original criteria and the new criteria or total reconciled dollars) 
by the amount from Step 3 \5\ (total Federal capital payments across 
all applicable hospitals using the cost report data) and multiplies 
the resulting amount by 100 to produce the percentage of total 
capital outlier reconciliation dollars to total capital Federal 
payments (89 FR 69955). Under the methodology, in Step 5 this amount 
is added to the estimated percentage of capital outlier payments 
otherwise determined using the shared outlier threshold (as 
explained above).
---------------------------------------------------------------------------

    \4\ Step 2, the numerator of step 4, is the aggregate amount of 
capital outlier reconciliation dollars under both the original 
criteria and the new criteria which is the sum of the amounts from 
Steps 2a and 2b. (89 FR 69954 through 69955).
    \5\ Step 3, the denominator of step 4, is the aggregate amount 
of total capital Federal payments across all applicable hospitals 
using the cost report data. The total capital Federal payments 
consist of the capital DRG payments, capital outlier payments, 
capital indirect medical education (IME) Payments, capital 
disproportionate share hospital (DSH) payments (Worksheet E, Part A, 
Line 50, Column 1) and the capital outlier reconciliation amounts 
from Steps 2a and 2b. (89 FR 69955).
---------------------------------------------------------------------------

    For this proposed rule, the estimated percentage of FY 2026 
capital outlier payments otherwise determined using the shared 
outlier threshold is 4.16 percent (estimated capital outlier 
payments of $289,418,426 divided by (estimated capital outlier 
payments of $289,418,426 plus the estimated total capital Federal 
payment of $6,670,448,919)). Using the most recent available data 
(described previously), the total in Step 2 is $1,529,376, which is 
a positive amount. The percentage calculated in Step 4 is a positive 
0.021188 percent (($1,529,376/$7,218,168,555) x 100), which, when 
rounded to the second digit, is +0.02 percent. Under Step 5 of the 
methodology, this percentage amount would be used to adjust the 
estimate of capital outlier payments for FY 2026. This would mean 
that for FY 2026 we would increase the estimated percentage of FY 
2026 aggregate capital outlier payments by 0.02 percent. This 
positive 0.02 percentage point is being driven by the numerator in 
Step 4 (that is, the total reconciled dollars or the aggregate 
capital outlier reconciliation dollars under both the original 
criteria and the new criteria).
    Typically, the total reconciled dollars in Step 2 (the numerator 
of Step 4) is a negative amount reflecting that overall, providers 
would owe the Medicare program money at the time of outlier 
reconciliation, which then produces a negative percentage of capital 
outlier reconciliation dollars to total Federal capital payments in 
Step 4. Using the most recent available data (described previously), 
the total reconciled dollars in Step 2 (the numerator of Step 4) is 
a positive amount reflecting that overall, the Medicare program 
would owe hospitals money at the time of outlier reconciliation, 
which then produces a positive percentage of capital outlier 
reconciliation dollars to total Federal capital payments.
    As mentioned above, since FY 2020 we have incorporated an 
adjustment to account for capital outlier reconciliation payments in 
the projected proportion of capital IPPS payments paid as outliers 
in determining the FY 2026 capital Federal rate. This adjustment 
(the percentage of capital outlier reconciliation dollars to total 
capital Federal payments from Step 4) has resulted in a negative 
value for FYs 2020 through 2025 (having the effect of an increase to 
the capital Federal amount, as described previously). Using the FY 
2020 cost report data and PSF values described previously under our 
methodology would be the first time that the adjustment under Step 4 
(the percentage of capital outlier reconciliation dollars to total 
capital Federal payments) is a positive value (and would have the 
effect of a decrease to the capital Federal amount). We believe this 
positive value may be an anomaly and may not be an accurate 
predictor of outlier reconciliations for FY 2026 to use as an 
estimate of outlier reconciliation dollars for incorporating the 
effect of outlier reconciliation to adjust the capital standard 
Federal rate. Therefore, rather than use the percentage of total 
capital outlier reconciliation dollars to total capital Federal 
payments from Step 4 based on the latest available data (as 
described previously), for purposes of incorporating an adjustment 
to the capital standard Federal rate for FY 2026, we are proposing 
to hold the data constant and to use the percentage of total capital 
outlier reconciliation dollars to total capital Federal payments 
from Step 4 from the FY 2025 IPPS/LTCH PPS final rule which is based 
on FY 2019 cost reports and PSF data. As discussed in that final 
rule (89 FR 69955), the ratio was a negative 0.028042 percent ((-
$2,181,440/$7,779,306,800) x 100), which, when rounded to the second 
digit, is -0.03 percent. Accordingly, for this proposed rule, taking 
into account projected capital outlier reconciliation under our 
methodology would decrease the estimated percentage of FY 2026 
aggregate capital outlier payments by 0.03 percent. This percentage 
amount would be used to adjust the proposed estimated percentage of 
FY 2026 aggregate capital outlier payments under Step 5 of the 
methodology. (For complete details on the calculation, refer to the 
FY 2025 IPPS/LTCH final rule (89 FR 69953 through 69955).) Given the 
anomaly in the most recent available data described earlier, we 
believe that this is the best available data to estimate and predict 
outlier reconciliations for FY 2026 to use to incorporate an 
adjustment to the FY 2026 capital standard Federal rate.
    As discussed in section III.A.2. of this Addendum, we are 
incorporating the capital outlier reconciliation dollars from Step 5 
when applying the outlier adjustment factor in determining the 
capital Federal rate based on the estimated percentage of capital 
outlier payments to total capital Federal rate payments for FY 2026.
    We note, for the FY 2026 final rule, consistent with our 
historical practice, we plan to evaluate the updated data available 
at the time of the development of that final

[[Page 18434]]

rule (such as the March 2025 HCRIS extract of the FY 2020 cost 
report). We would evaluate the use of that updated data in the 
methodology to assess whether that data still shows an anomaly such 
that it would not be appropriate to use in calculating the 
projection of outlier reconciliation dollars for FY 2026 and, 
depending on the results of this evaluation, may consider use of 
that data for purposes of projecting an estimate of outlier 
reconciliation dollars and incorporating an adjustment to the FY 
2026 capital standard Federal rate to account for the projected 
proportion of capital IPPS payments paid as outliers. We are 
inviting public comment on our proposed methodology for 
incorporating an adjustment to account for capital outlier 
reconciliation payments in the projected proportion of capital IPPS 
payments paid as outliers in determining the FY 2026 capital Federal 
rate.

(2) Proposed FY 2026 Outlier Fixed-Loss Cost Threshold

    In the FY 2014 IPPS/LTCH PPS final rule (78 FR 50977 through 
50983), in response to public comments on the FY 2013 IPPS/LTCH PPS 
proposed rule, we made changes to our methodology for projecting the 
outlier fixed-loss cost threshold for FY 2014. We refer readers to 
the FY 2014 IPPS/LTCH PPS final rule for a detailed discussion of 
the changes.
    As we have done in the past, to calculate the proposed FY 2026 
outlier threshold, we simulated payments by applying proposed FY 
2026 payment rates and policies using cases from the FY 2024 MedPAR 
file. As noted in section II.C. of this Addendum, we specify the 
formula used for actual claim payment which is also used by CMS to 
project the outlier threshold for the upcoming fiscal year. The 
difference is the source of some of the variables in the formula. 
For example, operating and capital CCRs for actual claim payment are 
from the Provider-Specific File (PSF) while CMS uses an adjusted CCR 
(as described later in this section) to project the threshold for 
the upcoming fiscal year. In addition, charges for a claim payment 
are from the bill while charges to project the threshold are from 
the MedPAR data with an inflation factor applied to the charges (as 
described earlier).
    In order to determine the proposed FY 2026 outlier threshold, we 
inflated the charges on the MedPAR claims by 2 years, from FY 2024 
to FY 2026. Consistent with the FY 2020 IPPS/LTCH PPS final rule (84 
FR 42626 and 42627), we are proposing to use the following 
methodology to calculate the charge inflation factor for FY 2026:
     Include hospitals whose last four digits fall between 
0001 and 0899 (section 2779A1 of Chapter 2 of the State Operations 
Manual on the CMS website at https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/Downloads/som107c02.pdf); include CAHs and 
REHs that were IPPS hospitals for the time period of the MedPAR data 
being used to calculate the charge inflation factor; include 
hospitals in Maryland; and remove PPS-excluded cancer hospitals that 
have a ``V'' in the fifth position of their provider number or a 
``E'' or ``F'' in the sixth position.
     Include providers that are in both periods of charge 
data that are used to calculate the 1-year average annual rate of-
change in charges per case. We note this is consistent with the 
methodology used since FY 2014.
     We excluded Medicare Advantage IME claims for the 
reasons described in section I.A.4. of this Addendum. We refer 
readers to the FY 2011 IPPS/LTCH PPS final rule for a complete 
discussion on our methodology of identifying and adding the total 
Medicare Advantage IME payment amount to the budget neutrality 
adjustments.
     In order to ensure that we capture only FFS claims, we 
included claims with a ``Claim Type'' of 60 (which is a field on the 
MedPAR file that indicates a claim is an FFS claim).
     In order to further ensure that we capture only FFS 
claims, we excluded claims with a ``GHOPAID'' indicator of 1 (which 
is a field on the MedPAR file that indicates a claim is not an FFS 
claim and is paid by a Group Health Organization).
     We examined the MedPAR file and removed pharmacy 
charges for anti-hemophilic blood factor (which are paid separately 
under the IPPS) with an indicator of ``3'' for blood clotting with a 
revenue code of ``0636'' from the covered charge field. We also 
removed organ acquisition charges from the covered charge field 
because organ acquisition is a pass-through payment not paid under 
the IPPS. As noted previously, we proposing to remove allogeneic 
hematopoietic stem cell acquisition charges from the covered charge 
field for budget neutrality adjustments. As discussed in the FY 2021 
IPPS/LTCH PPS final rule, payment for allogeneic hematopoietic stem 
cell acquisition costs is made on a reasonable cost basis for cost 
reporting periods beginning on or after October 1, 2020 (85 FR 58835 
through 58842).
     Because this payment simulation uses the proposed FY 
2026 relative weights, consistent with our proposal discussed in 
section IV.I. of the preamble to this proposed rule, we applied the 
proposed adjustor for certain cases that group to MS-DRG 018 in our 
simulation of these payments.
    Our general methodology to inflate the charges computes the 1-
year average annual rate-of-change in charges per case which is then 
applied twice to inflate the charges on the MedPAR claims by 2 years 
since we typically use claims data for the fiscal year that is 2 
years prior to the upcoming fiscal year.
    In the FY 2020 IPPS/LTCH PPS final rule (84 FR 42627), we 
modified our charge inflation methodology. We stated that we believe 
balancing our preference to use the latest available data from the 
MedPAR files and stakeholders' concerns about being able to use 
publicly available MedPAR files to review the charge inflation 
factor can be achieved by modifying our methodology to use the 
publicly available Federal fiscal year period (that is, for FY 2020, 
we used the charge data from Federal fiscal years 2017 and 2018), 
rather than the most recent data available to CMS which, under our 
prior methodology, was based on calendar year data. We refer the 
reader to the FY 2020 IPPS/LTCH PPS final rule for a complete 
discussion regarding this change.
    For the same reasons discussed in that rulemaking, for FY 2026, 
we are proposing to use the same methodology as FY 2020 to determine 
the charge inflation factor. That is, for FY 2026, we are proposing 
to use the MedPAR files for the two most recent available Federal 
fiscal year time periods to calculate the charge inflation factor, 
as we did for FY 2020. Specifically, for this proposed rule we used 
the December 2023 MedPAR file of FY 2023 (October 1, 2023, to 
September 30, 2023) charge data (released for the FY 2025 IPPS/LTCH 
PPS proposed rule) and the December 2024 MedPAR file of FY 2024 
(October 1, 2023, to September 30, 2024) charge data (released for 
this FY 2026 IPPS/LTCH PPS proposed rule) to compute the proposed 
charge inflation factor. We are proposing that for the FY 2026 final 
rule, we would use more recently updated data, that is the MedPAR 
files from March 2024 for the FY 2023 time period and March 2025 for 
the FY 2024 time period.
    For FY 2026, under this proposed methodology, to compute the 1-
year average annual rate-of-change in charges per case, we compared 
the average covered charge per case of $86,031.03 ($592,911,386,867/
6,891,832) from October 1, 2022, through September 30, 2023, to the 
average covered charge per case of $90,711.54 ($624,034,862,796/
6,879,333) from October 1, 2023, through September 30, 2024. This 
rate-of-change was 5.440 percent (1.05440) or 11.18 percent (1.1118) 
over 2 years. The billed charges are obtained from the claims from 
the MedPAR file and inflated by the inflation factor specified 
previously.
    As we have done in the past, in this FY 2026 IPPS/LTCH PPS 
proposed rule, we are proposing to establish the FY 2026 outlier 
threshold using hospital CCRs from the December 2024 update to the 
Provider-Specific File (PSF), the most recent available data at the 
time of the development of the proposed rule. We are proposing to 
apply the following edits to providers' CCRs in the PSF. We believe 
these edits are appropriate to accurately model the outlier 
threshold. We first search for Indian Health Service providers and 
those providers assigned the statewide average CCR from the current 
fiscal year. We then replace these CCRs with the statewide average 
CCR for the upcoming fiscal year. We also assign the statewide 
average CCR (for the upcoming fiscal year) to those providers that 
have no value in the CCR field in the PSF or whose CCRs exceed the 
ceilings described later in this section (3.0 standard deviations 
from the mean of the log distribution of CCRs for all hospitals). We 
do not apply the adjustment factors described later in this section 
to hospitals assigned the statewide average CCR. For FY 2026, we are 
proposing to continue to apply an adjustment factor to the CCRs to 
account for cost and charge inflation (as explained later in this 
section). We also are proposing that, if more recent data become 
available, we would use that data to calculate the final FY 2026 
outlier threshold.
    In the FY 2014 IPPS/LTCH PPS final rule (78 FR 50979), we 
adopted a new methodology to adjust the CCRs. Specifically, we 
finalized a policy to compare the national average case-weighted 
operating and capital

[[Page 18435]]

CCR from the most recent update of the PSF to the national average 
case-weighted operating and capital CCR from the same period of the 
prior year.
    Therefore, as we have done in the past, we are proposing to 
adjust the CCRs from the December 2024 update of the PSF by 
comparing the percentage change in the national average case 
weighted operating CCR and capital CCR from the December 2023 update 
of the PSF to the national average case weighted operating CCR and 
capital CCR from the December 2024 update of the PSF. We note that 
we used total transfer-adjusted cases from FY 2024 to determine the 
national average case weighted CCRs for both sides of the 
comparison. As stated in the FY 2014 IPPS/LTCH PPS final rule (78 FR 
50979), we believe that it is appropriate to use the same case count 
on both sides of the comparison because this will produce the true 
percentage change in the average case-weighted operating and capital 
CCR from one year to the next without any effect from a change in 
case count on different sides of the comparison.
    Using the proposed methodology, for this proposed rule, we 
calculated a December 2023 operating national average case-weighted 
CCR of 0.252119 and a December 2024 operating national average case-
weighted CCR of 0.244584.We then calculated the percentage change 
between the two national operating case-weighted CCRs by subtracting 
the December 2023 operating national average case-weighted CCR from 
the December 2024 operating national average case-weighted CCR and 
then dividing the result by the December 2023 national operating 
average case-weighted CCR. This resulted in a proposed one-year 
national operating CCR adjustment factor of 0.970113.
    We used this same proposed methodology to adjust the capital 
CCRs. Specifically, we calculated a December 2023 capital national 
average case-weighted CCR of 0.017659 and a December 2024 capital 
national average case-weighted CCR of 0.016912. We then calculated 
the percentage change between the two national capital case-weighted 
CCRs by subtracting the December 2023 capital national average case-
weighted CCR from the December 2024 capital national average case-
weighted CCR and then dividing the result by the December 2023 
capital national average case-weighted CCR. This resulted in a 
proposed one-year national capital CCR adjustment factor of 
0.957699.
    For purposes of estimating the proposed outlier threshold for FY 
2026, we used a wage index that reflects the policies discussed in 
this proposed rule. This includes the following:
     Application of the proposed rural and imputed floor 
adjustment.
     The proposed frontier State floor adjustments in 
accordance with section 10324(a) of the Affordable Care Act.
     The proposed out-migration adjustment as added by 
section 505 of Public Law 108-173.
     Incorporating our policy (described in section III.6. 
of the preamble of this proposed rule) to apply a 5-percent cap on 
any decrease to a hospital's wage index from its wage index in the 
prior FY, regardless of the circumstances causing the decline.
     The proposed transition for the discontinuation of the 
low wage index hospital policy (as described in section III.F.7. of 
the preamble of this proposed rule).
    If we did not take the aforementioned into account, our estimate 
of total FY 2026 payments would be too low, and, as a result, our 
proposed outlier threshold would be too high, such that estimated 
outlier payments would be less than our projected 5.1 percent of 
total payments (which includes outlier reconciliation).
    As described in sections V.K. and V.L., respectively, of the 
preamble of this proposed rule, sections 1886(q) and 1886(o) of the 
Act establish the Hospital Readmissions Reduction Program and the 
Hospital VBP Program, respectively. We do not believe that it is 
appropriate to include the proposed hospital VBP payment adjustments 
and the hospital readmissions payment adjustments in the proposed 
outlier threshold calculation or the proposed outlier offset to the 
standardized amount. Specifically, consistent with our definition of 
the base operating DRG payment amount for the Hospital Readmissions 
Reduction Program under Sec.  412.152 and the Hospital VBP Program 
under Sec.  412.160, outlier payments under section 1886(d)(5)(A) of 
the Act are not affected by these payment adjustments. Therefore, 
outlier payments would continue to be calculated based on the 
unadjusted base DRG payment amount (as opposed to using the base-
operating DRG payment amount adjusted by the hospital readmissions 
payment adjustment and the hospital VBP payment adjustment). 
Consequently, we are proposing to exclude the estimated hospital VBP 
payment adjustments and the estimated hospital readmissions payment 
adjustments from the calculation of the proposed outlier fixed-loss 
cost threshold.
    We note that, to the extent section 1886(r) of the Act modifies 
the DSH payment methodology under section 1886(d)(5)(F) of the Act, 
the uncompensated care payment under section 1886(r)(2) of the Act, 
like the empirically justified Medicare DSH payment under section 
1886(r)(1) of the Act, may be considered an amount payable under 
section 1886(d)(5)(F) of the Act such that it would be reasonable to 
include the payment in the outlier determination under section 
1886(d)(5)(A) of the Act. As we have done since the implementation 
of uncompensated care payments in FY 2014, for FY 2026, we are 
proposing to allocate an estimated per-discharge uncompensated care 
payment amount to all cases for the hospitals eligible to receive 
the uncompensated care payment amount in the calculation of the 
outlier fixed-loss cost threshold methodology. We continue to 
believe that allocating an eligible hospital's estimated 
uncompensated care payment to all cases equally in the calculation 
of the outlier fixed-loss cost threshold would best approximate the 
amount we would pay in uncompensated care payments during the year 
because, when we make claim payments to a hospital eligible for such 
payments, we would be making estimated per-discharge uncompensated 
care payments to all cases equally.
    Furthermore, we continue to believe that using the estimated 
per-claim uncompensated care payment amount to determine outlier 
estimates provides predictability as to the amount of uncompensated 
care payments included in the calculation of outlier payments. 
Therefore, consistent with the methodology used since FY 2014 to 
calculate the outlier fixed-loss cost threshold, for FY 2026, we are 
proposing to include estimated FY 2026 uncompensated care payments 
in the computation of the proposed outlier fixed-loss cost 
threshold. Specifically, we are proposing to use the estimated per-
discharge uncompensated care payments to hospitals eligible for the 
uncompensated care payment for all cases in the calculation of the 
proposed outlier fixed-loss cost threshold methodology.
    In addition, consistent with the methodology finalized in the FY 
2023 final rule, we are proposing to include the estimated 
supplemental payments for eligible IHS/Tribal hospitals and Puerto 
Rico hospitals in the computation of the FY 2026 proposed outlier 
fixed-loss cost threshold. Specifically, we are proposing to use the 
estimated per-discharge supplemental payments to hospitals eligible 
for the supplemental payment for all cases in the calculation of the 
proposed outlier fixed-loss cost threshold methodology.
    Using this methodology, we used the formula described in section 
I.C.1. of this Addendum to simulate and calculate the Federal 
payment rate and outlier payments for all claims. In addition, as 
described in the earlier section to this Addendum, we are proposing 
to incorporate an estimate of FY 2026 outlier reconciliation in the 
methodology for determining the outlier threshold. As noted 
previously, for the FY 2026 proposed rule, we are proposing to hold 
the data constant and to use the FY 2025 final rule percentage of 
total operating outlier reconciliation dollars to total Federal 
operating payments from Step 4 from the FY 2025 IPPS/LTCH PPS final 
rule which is based on FY 2019 cost reports and PSF data. As 
discussed in the FY 2025 IPPS/LTCH PPS final rule, the ratio of 
outlier reconciliation dollars to total Federal Payments (Step 4) 
was a negative 0.041994 percent, which, when rounded to the second 
digit, is -0.04 percent. Therefore, for FY 2026, we are proposing to 
incorporate a projection of outlier reconciliation dollars by 
targeting an outlier threshold at 5.14 percent [5.1 percent-(-.04 
percent)]. Under this proposed approach, we determined a proposed 
threshold of $44,305 and calculated total outlier payments of 
$4,420,494,091and total operating Federal payments of 
$81,579,487,131. We then divided total outlier payments by total 
operating Federal payments plus total outlier payments and 
determined that this threshold matched with the 5.14 percent target, 
which reflected our proposal to incorporate an estimate of outlier 
reconciliation in the determination of the outlier threshold (as 
discussed in more detail in the previous section of this Addendum). 
We note that, if calculated without applying our proposed 
methodology for incorporating an estimate of outlier reconciliation 
in the determination of the outlier threshold, the proposed 
threshold would be $44,644. We

[[Page 18436]]

are proposing an outlier fixed-loss cost threshold for FY 2026 equal 
to the prospective payment rate for the MS-DRG, plus any IME, 
empirically justified Medicare DSH payments, estimated uncompensated 
care payment, estimated supplemental payment for eligible IHS/Tribal 
hospitals and Puerto Rico hospitals, and any add-on payments for new 
technology, plus $44,305.

(3) Other Proposed Changes Concerning Outliers

    As stated in the FY 1994 IPPS final rule (58 FR 46348), we 
establish an outlier threshold that is applicable to both hospital 
inpatient operating costs and hospital inpatient capital-related 
costs. When we modeled the combined operating and capital outlier 
payments, we found that using a common threshold resulted in a 
higher percentage of outlier payments for capital-related costs than 
for operating costs. We project that the threshold for FY 2026 
(which reflects our methodology to incorporate an estimate of 
operating outlier reconciliation) would result in outlier payments 
that would equal 5.1 percent of operating DRG payments and we 
estimate that capital outlier payments would equal 4.12 percent of 
capital payments based on the Federal rate (which reflects our 
methodology discussed previously to incorporate an estimate of 
capital outlier reconciliation).
    In accordance with section 1886(d)(3)(B) of the Act and as 
discussed previously, we are proposing to reduce the FY 2026 
standardized amount by 5.1 percent to account for the projected 
proportion of payments paid as outliers.
    The proposed outlier adjustment factors that would be applied to 
the operating standardized amount and capital Federal rate based on 
the proposed FY 2026 outlier threshold are as follows:

------------------------------------------------------------------------
                                                   Operating    Capital
                                                 standardized   federal
                                                    amounts      rate *
------------------------------------------------------------------------
National.......................................         0.949   0.958716
------------------------------------------------------------------------
* The adjustment factor for the capital Federal rate includes an
  adjustment to the estimated percentage of FY 2026 capital outlier
  payments for capital outlier reconciliation, as discussed previously
  and in section III.A.2 in this Addendum.

    We are proposing to apply the outlier adjustment factors to the 
FY 2026 payment rates after removing the effects of the FY 2025 
outlier adjustment factors on the standardized amount.
    To determine whether a case qualifies for outlier payments, we 
currently apply hospital-specific CCRs to the total covered charges 
for the case. Estimated operating and capital costs for the case are 
calculated separately by applying separate operating and capital 
CCRs. These costs are then combined and compared with the outlier 
fixed-loss cost threshold.
    Under our current policy at Sec.  412.84, we calculate operating 
and capital CCR ceilings and assign a statewide average CCR for 
hospitals whose CCRs exceed 3.0 standard deviations from the mean of 
the log distribution of CCRs for all hospitals. Based on this 
calculation, for hospitals for which the MAC computes operating CCRs 
greater than 1.273 or capital CCRs greater than 0.133 or hospitals 
for which the MAC is unable to calculate a CCR (as described under 
Sec.  412.84(i)(3) of our regulations), statewide average CCRs are 
used to determine whether a hospital qualifies for outlier payments. 
Table 8A listed in section VI. of this Addendum (and available via 
the internet on the CMS website) contains the proposed statewide 
average operating CCRs for urban hospitals and for rural hospitals 
for which the MAC is unable to compute a hospital-specific CCR 
within the range previously specified. These statewide average 
ratios would be effective for discharges occurring on or after 
October 1, 2025, and would replace the statewide average ratios from 
the prior fiscal year. Table 8B listed in section VI. of this 
Addendum (and available via the internet on the CMS website) 
contains the comparable proposed statewide average capital CCRs. As 
previously stated, the proposed CCRs in Tables 8A and 8B would be 
used during FY 2026 when hospital-specific CCRs based on the latest 
settled cost report either are not available or are outside the 
range noted previously. Table 8C listed in section VI. of this 
Addendum (and available via the internet on the CMS website) 
contains the proposed statewide average total CCRs used under the 
LTCH PPS as discussed in section V. of this Addendum.
    We finally note that section 20.1.2 of chapter three of the 
Medicare Claims Processing Manual (on the internet at https://www.cms.gov/Regulations-and-Guidance/Guidance/Manuals/Downloads/clm104c03.pdf) covers an array of topics, including CCRs, 
reconciliation, and the time value of money. We encourage hospitals 
that are assigned the statewide average operating and/or capital 
CCRs to work with their MAC on a possible alternative operating and/
or capital CCR as explained in the manual. Use of an alternative CCR 
developed by the hospital in conjunction with the MAC can avoid 
possible overpayments or underpayments at cost report settlement, 
thereby ensuring better accuracy when making outlier payments and 
negating the need for outlier reconciliation. We also note that a 
hospital may request an alternative operating or capital CCR at any 
time as long as the guidelines of the manual are followed. In 
addition, the manual outlines the outlier reconciliation process for 
hospitals and Medicare contractors. We refer hospitals to the manual 
instructions for complete details on outlier reconciliation.

(4) FY 2024 Outlier Payments

    Our current estimate, using available FY 2024 claims data, is 
that actual outlier payments for FY 2024 were approximately 5.13 
percent of actual total MS-DRG payments. Therefore, the data 
indicate that, for FY 2024, the percentage of actual outlier 
payments relative to actual total payments is higher than we 
projected for FY 2024. Consistent with the policy and statutory 
interpretation we have maintained since the inception of the IPPS, 
we do not make retroactive adjustments to outlier payments to ensure 
that total outlier payments for FY 2024 are equal to 5.1 percent of 
total MS-DRG payments. As explained in the FY 2003 Outlier final 
rule (68 FR 34502), if we were to make retroactive adjustments to 
all outlier payments to ensure total payments are 5.1 percent of MS-
DRG payments (by retroactively adjusting outlier payments), we would 
be removing the important aspect of the prospective nature of the 
IPPS. Because such an across-the-board adjustment would either lead 
to more or less outlier payments for all hospitals, hospitals would 
no longer be able to reliably approximate their payment for a 
patient while the patient is still hospitalized. We believe it would 
be neither necessary nor appropriate to make such an aggregate 
retroactive adjustment. Furthermore, we believe it is consistent 
with the statutory language at section 1886(d)(5)(A)(iv) of the Act 
not to make retroactive adjustments to outlier payments. This 
section states that outlier payments be equal to or greater than 5 
percent and less than or equal to 6 percent of projected or 
estimated (not actual) MS-DRG payments. We believe that an important 
goal of a PPS is predictability. Therefore, we believe that the 
fixed-loss outlier threshold should be projected based on the best 
available historical data and should not be adjusted retroactively. 
A retroactive change to the fixed-loss outlier threshold would 
affect all hospitals subject to the IPPS, thereby undercutting the 
predictability of the system as a whole.
    We note that, because the MedPAR claims data for the entire FY 
2025 period would not be available until after September 30, 2025, 
we are unable to provide an estimate of actual outlier payments for 
FY 2025 based on FY 2025 claims data in this proposed rule. We will 
provide an estimate of actual FY 2025 outlier payments in the FY 
2027 IPPS/LTCH PPS proposed rule.

5. Proposed FY 2026 Standardized Amount

    The adjusted standardized amount is divided into labor-related 
and nonlabor-related portions. Tables 1A and 1B listed and published 
in section VI. of this Addendum (and available via the internet on 
the CMS website) contain the national standardized amounts that we 
are proposing to apply to all hospitals, except hospitals located in 
Puerto Rico, for FY 2026. The proposed standardized amount for 
hospitals in Puerto Rico is shown in Table 1C listed and published 
in section VI. of this Addendum (and available via the internet on 
the CMS website). The proposed amounts shown in Tables 1A and 1B 
differ only in that the labor-related share applied to the 
standardized amounts in Table 1A is 66.0 percent, and the labor-
related share applied to the standardized amounts in Table 1B is 62 
percent. In accordance with sections 1886(d)(3)(E) and 
1886(d)(9)(C)(iv) of the Act, we are proposing to apply a labor-
related share of 62 percent, unless application of that percentage 
would result in lower payments to a hospital than would otherwise be 
made. In effect, the statutory provision means that we would apply a 
labor-related share of 62 percent for all hospitals whose wage 
indexes are less than or equal to 1.0000. In addition, Tables 1A and 
1B include the proposed standardized amounts reflecting the

[[Page 18437]]

proposed applicable percentage increases for FY 2026.
    The proposed labor-related and nonlabor-related portions of the 
national average standardized amounts for Puerto Rico hospitals for 
FY 2026 are set forth in Table 1C listed and published in section 
VI. of this Addendum (and available via the internet on the CMS 
website). Similarly, section 1886(d)(9)(C)(iv) of the Act, as 
amended by section 403(b) of Public Law 108-173, provides that the 
labor-related share for hospitals located in Puerto Rico be 62 
percent, unless the application of that percentage would result in 
lower payments to the hospital.
    The following table illustrates the changes from the FY 2025 
national standardized amounts to the proposed FY 2026 national 
standardized amounts. The second through fifth columns display the 
changes from the FY 2025 standardized amounts for each proposed 
applicable FY 2026 standardized amount. The first row of the table 
shows the updated (through FY 2025) average standardized amount 
after restoring the FY 2025 offsets for outlier payments, geographic 
reclassification, rural demonstration, and wage index cap policy 
budget neutrality. The MS-DRG reclassification and recalibration 
wage index, and stem cell acquisition budget neutrality factors are 
cumulative (that is, we have not restored the offsets). Accordingly, 
those FY 2025 adjustment factors have not been removed from the base 
rate in the following table.

             Changes From FY 2025 Standardized Amounts to the Proposed FY 2026 Standardized Amounts
----------------------------------------------------------------------------------------------------------------
                                                      Hospital submitted   Hospital did NOT    Hospital did NOT
                                  Hospital submitted   quality data and     submit quality      submit quality
                                   quality data and        is NOT a          data and is a     data and is NOT a
                                    is a meaningful     meaningful EHR      meaningful EHR      meaningful EHR
                                       EHR user              user                user                user
----------------------------------------------------------------------------------------------------------------
FY 2026 Base Rate after           If Wage Index is    If Wage Index is    If Wage Index is    If Wage Index is
 removing:.                        Greater Than        Greater Than        Greater Than        Greater Than
1. FY 2025 Geographic              1.0000:             1.0000:             1.0000:             1.0000:
 Reclassification Budget          Labor (66.0%):....  Labor (66.0%):....  Labor (66.0%):....  Labor (66.0%):
 Neutrality (0.962786).           $4,790.03.........  $4,790.034........  $4,790.034........  $4,790.034.
2. FY 2025 Operating Outlier      Nonlabor (34.0%):.  Nonlabor (34.0%):.  Nonlabor (34.0%):.  Nonlabor (34.0%):
 Offset (0.949).                  $2,467.59.........  $2,467.59.........  $2,467.59.........  $2,467.59.
3. FY 2025 Rural Demonstration    If Wage Index is    If Wage Index is    If Wage Index is    If Wage Index is
 Budget Neutrality Factor          less Than or        less Than or        less Than or        less Than or
 (0.999811).                       Equal to 1.0000:.   Equal to 1.0000:.   Equal to 1.0000:.   Equal to 1.0000:
4. FY 2025 Cap Policy Wage Index  Labor (62%):......  Labor (62%):......  Labor (62%):......  Labor (62%):
 Budget Neutrality Factor         $4,499.73.........  $4,499.73.........  $4,499.73.........  $4,499.73.
 (0.999166).                      Nonlabor (38%):     Nonlabor (38%):     Nonlabor (38%):     Nonlabor (38%):
                                   $2,757.90.          $2,757.90.          $2,757.90.          $2,757.90.
Proposed FY 2026 Update Factor..  1.024.............  1.0...............  1.016.............  0.992.
Proposed FY 2026 MS[dash]DRG      0.998422..........  0.998422..........  0.998422..........  0.998422.
 Reclassification and
 Recalibration Budget Neutrality
 Factor Before Cap.
Proposed FY 2026 Cap Policy MS-   0.999938..........  0.999938..........  0.999938..........  0.999938.
 DRG Weight Budget Neutrality
 Factor.
Proposed FY 2026 Wage Index       1.001273..........  1.001273..........  1.001273..........  1.001273.
 Budget Neutrality Factor.
Proposed FY 2026                  0.976960..........  0.976960..........  0.976960..........  0.976960.
 Reclassification Budget
 Neutrality Factor.
Proposed FY 2026 Cap Policy Wage  0.993116..........  0.993116..........  0.993116..........  0.993116.
 Index Budget Neutrality Factor.
Proposed Transition for the       0.999741..........  0.999741..........  0.999741..........  0.999741.
 Discontinuation of the Low Wage
 Index Hospital Policy Budget
 Neutrality Factor.
Proposed FY 2026 RCH              0.999548..........  0.999548..........  0.999548..........  0.999548.
 Demonstration Budget Neutrality
 Factor.
Proposed FY 2026 Operating        0.949.............  0.949.............  0.949.............  0.949.
 Outlier Factor.
Proposed National Standardized    Labor: $4,511.41..  Labor: $4,405.67..  Labor: $4,476.16..  Labor: $4,370.43.
 Amount for FY 2026 if Wage       Nonlabor:           Nonlabor:           Nonlabor:           Nonlabor:
 Index is Greater Than 1.0000;     $2,324.06.          $2,269.59.          $2,305.90.          $2,251.43.
 Labor/Non-Labor Share
 Percentage (66.0/34.0).
Proposed National Standardized    Labor: $4,237.99..  Labor: $4,138.66..  Labor: $4,204.88..  Labor: $4,105.55.
 Amount for FY 2026 if Wage       Nonlabor:           Nonlabor:           Nonlabor:           Nonlabor:
 Index is Less Than or Equal to    $2,597.48.          $2,536.60.          $2,577.18.          $2,516.31.
 1.0000; Labor/Non-Labor Share
 Percentage (62/38).
----------------------------------------------------------------------------------------------------------------

B. Proposed Adjustments for Area Wage Levels and Cost-of-Living

    Tables 1A through 1C, as published in section VI. of this 
Addendum (and available via the internet on the CMS website), 
contain the proposed labor-related and nonlabor-related shares that 
we are proposing to use to calculate the prospective payment rates 
for hospitals located in the 50 States, the District of Columbia, 
and Puerto Rico for FY 2026. This section addresses two types of 
adjustments to the standardized amounts that are made in determining 
the prospective payment rates as described in this Addendum.

1. Proposed Adjustment for Area Wage Levels

    Sections 1886(d)(3)(E) and 1886(d)(9)(C)(iv) of the Act require 
that we make an adjustment to the labor-related portion of the 
national prospective payment rate to account for area differences in 
hospital wage levels. This adjustment is made by multiplying the 
labor-related portion of the adjusted standardized amounts by the 
appropriate wage index for the area in which the hospital is 
located. For FY 2026, as discussed in section IV.B.3. of the 
preamble of this proposed rule, we are proposing to apply a labor-
related share of 66.0 percent for the national standardized amounts 
for all IPPS hospitals (including hospitals in Puerto Rico) that 
have a wage index value that is greater than 1.0000. Consistent with 
section 1886(d)(3)(E) of the Act, we are proposing to apply the wage 
index to a labor-related share of 62 percent of the national 
standardized amount for all IPPS hospitals (including hospitals in 
Puerto Rico) whose wage index values are less than or equal to 
1.0000. In section III. of the preamble of this proposed rule, we 
discuss the data and methodology for the FY 2026 wage index.

2. Adjustment for Cost-of-Living in Alaska and Hawaii

    Section 1886(d)(5)(H) of the Act provides discretionary 
authority to the Secretary to make adjustments as the Secretary 
deems appropriate to take into account the unique circumstances of 
hospitals located in Alaska and Hawaii. Higher labor-related costs 
for these two States are taken into account in the adjustment for 
area wages described previously. To account for higher non-labor-
related costs for these two States, we multiply the nonlabor-related 
portion of the standardized amount for hospitals in Alaska and 
Hawaii by an adjustment factor.
    In the FY 2013 IPPS/LTCH PPS final rule, we established a 
methodology to update the COLA factors for Alaska and Hawaii that 
were published by the U.S. Office of Personnel Management (OPM) 
every 4 years

[[Page 18438]]

(coinciding with the update to the labor-related share of the IPPS 
market basket), beginning in FY 2014. We refer readers to the FY 
2013 IPPS/LTCH PPS proposed and final rules for additional 
background and a detailed description of this methodology (77 FR 
28145 through 28146 and 77 FR 53700 through 53701, respectively). In 
the FY 2022 IPPS/LTCH PPS final rule (86 FR 45546 through 45547), we 
updated the COLA factors published by OPM for 2009 (as these are the 
last COLA factors OPM published prior to transitioning from COLAs to 
locality pay) using the methodology that we finalized in the FY 2013 
IPPS/LTCH PPS final rule and Consumer Price Indices (CPIs) data 
through 2020. Based on the policy finalized in the FY 2013 IPPS/LTCH 
PPS final rule, we utilized these COLA factors for FYs 2022 through 
2025 to adjust the nonlabor-related portion of the standardized 
amount for hospitals located in Alaska and Hawaii.
    In general, under our existing methodology, we update the 2009 
OPM COLA factors by a comparison of the growth in the CPIs for the 
areas of Urban Alaska and Urban Hawaii, relative to the growth in 
the CPI for the average U.S. city as published by the Bureau of 
Labor Statistics (BLS). We use the comparison of the growth in the 
overall CPI relative to the growth in the CPI for those areas to 
update the COLA factors for all areas in Alaska and Hawaii, 
respectively, because BLS publishes CPI data for only Urban Alaska 
and Urban Hawaii. Using the respective CPI commodities index and CPI 
services index and using the approximate commodities/services shares 
obtained from the IPPS market basket, we create reweighted CPIs for 
each of the respective areas to reflect the underlying composition 
of the IPPS market basket nonlabor-related share. Lastly, we 
exercised our discretionary authority to adjust payments to 
hospitals in Alaska and Hawaii by incorporating the statutorily 
mandated cap of 25 percent that was applied when determining OPM's 
COLA factors. (For additional information, refer to the FY 2022 
IPPS/LTCH PPS final rule (86 FR 45546 through 45547).)
    We previously stated our intention to update the COLA factors at 
the same time as the update to the labor-related share of the IPPS 
market basket. In section III.H. of the preamble of this proposed 
rule, we are proposing to update the labor-related share of the IPPS 
market basket. The following table lists the COLA factors for Alaska 
and Hawaii hospitals as calculated under our current methodology, 
using updated CPI data through 2024 and the approximate 60 percent 
commodities/40 percent services shares obtained from the proposed 
2023-based IPPS market basket.

----------------------------------------------------------------------------------------------------------------
                                                                      FY 2022      Updated COLA
                                                                    through FY     factors under
                              Area                                   2025 COLA        current       Difference
                                                                      factors       methodology
----------------------------------------------------------------------------------------------------------------
Alaska:
    City of Anchorage and 80-kilometer (50-mile) radius by road.            1.22            1.18           -0.04
    City of Fairbanks and 80-kilometer (50-mile) radius by road.            1.22            1.18           -0.04
    City of Juneau and 80-kilometer (50-mile) radius by road....            1.22            1.18           -0.04
    Rest of Alaska..............................................            1.24            1.20           -0.04
Hawaii:
    City and County of Honolulu.................................            1.25            1.25               0
    County of Hawaii............................................            1.22            1.21           -0.01
    County of Kauai.............................................            1.25            1.25               0
    County of Maui and County of Kalawao........................            1.25            1.25               0
----------------------------------------------------------------------------------------------------------------

    At this time, we believe it would be appropriate to maintain the 
current COLA factors for FY 2026 to allow us to consider whether it 
would be appropriate to incorporate additional data sources or other 
methodology changes in determining the adjustment we make to IPPS 
payments to account for the unique circumstances of hospitals 
located in Alaska and Hawaii. Therefore, we are proposing to 
continue to use the FY 2025 COLA factors to adjust the nonlabor-
related portion of the standardized amount for hospitals located in 
Alaska and Hawaii for FY 2026. The following table lists the 
proposed FY 2026 COLA factors.

  Proposed FY 2026 Cost-of-Living Adjustment (COLA) Factors: Alaska and
                            Hawaii Hospitals
------------------------------------------------------------------------
                         Area                            Proposed COLA
------------------------------------------------------------------------
Alaska:
    City of Anchorage and 80-kilometer (50-mile)                    1.22
     radius by road..................................
    City of Fairbanks and 80-kilometer (50-mile)                    1.22
     radius by road..................................
    City of Juneau and 80-kilometer (50-mile) radius                1.22
     by road.........................................
    Rest of Alaska...................................               1.24
Hawaii:
    City and County of Honolulu......................               1.25
    County of Hawaii.................................               1.22
    County of Kauai..................................               1.25
    County of Maui and County of Kalawao.............               1.25
------------------------------------------------------------------------

    We are interested in and soliciting comments on any possible 
data sources that could be considered in the development of the COLA 
factors beyond the methodology (as summarized previously and 
described in more detail in the FY 2022 IPPS/LTCH PPS final rule, 86 
FR 45546) that relies on service and commodity prices as measured by 
the CPI for the average U.S. city and for the areas of Urban Hawaii 
and Urban Alaska.

C. Calculation of the Proposed Prospective Payment Rates

1. General Formula for Calculation of the Prospective Payment Rates for 
FY 2026

    In general, the operating prospective payment rate for all 
hospitals (including hospitals in Puerto Rico) paid under the IPPS, 
except SCHs and MDHs, for FY 2026 equals the Federal rate (which 
includes uncompensated care payments). As previously discussed, 
section 2202 of the Full-Year Continuing Appropriations and 
Extensions Act, 2025 further extended the MDH program through FY 
2025. Therefore, under current law, the MDH program will expire for 
discharges on or after October 1, 2025.
    SCHs are paid based on whichever of the following rates yields 
the greatest aggregate payment:
     The Federal national rate (which, as discussed in 
section V.E. of the preamble of this proposed rule, includes 
uncompensated care payments).

[[Page 18439]]

     The updated hospital-specific rate based on FY 1982 
costs per discharge.
     The updated hospital-specific rate based on FY 1987 
costs per discharge.
     The updated hospital-specific rate based on FY 1996 
costs per discharge.
     The updated hospital-specific rate based on FY 2006 
costs per discharge to determine the rate that yields the greatest 
aggregate payment.
    The prospective payment rate for SCHs for FY 2026 equals the 
higher of the applicable Federal rate, or the hospital-specific rate 
as described later in this section. The prospective payment rate for 
MDHs for discharges occurring before September 30, 2025, equals the 
higher of the Federal rate, or the Federal rate plus 75 percent of 
the difference between the Federal rate and the hospital-specific 
rate as described in this section. For MDHs, the updated hospital-
specific rate is based on FY 1982, FY 1987, or FY 2002 costs per 
discharge, whichever yields the greatest aggregate payment.

2. Operating and Capital Federal Payment Rate and Outlier Payment 
Calculation

    Note: The formula specified in this section is used for actual 
claim payment and is also used by CMS to project the outlier 
threshold for the upcoming fiscal year. The difference is the source 
of some of the variables in the formula. For example, operating and 
capital CCRs for actual claim payment are from the PSF while CMS 
uses an adjusted CCR (as described previously) to project the 
threshold for the upcoming fiscal year. In addition, charges for a 
claim payment are from the bill while charges to project the 
threshold are from the MedPAR data with an inflation factor applied 
to the charges (as described earlier).

    Step 1--Determine the MS-DRG and MS-DRG relative weight (from 
Table 5) for each claim primarily based on the ICD-10-CM diagnosis 
and ICD-10-PCS procedure codes on the claim.
    Step 2--Select the applicable average standardized amount 
depending on whether the hospital submitted qualifying quality data 
and is a meaningful EHR user, as described previously.
    Step 3--Compute the operating and capital Federal payment rate:

--Federal Payment Rate for Operating Costs = MS-DRG Relative Weight 
x [(Labor-Related Applicable Standardized Amount x Applicable CBSA 
Wage Index) + (Nonlabor-Related Applicable Standardized Amount x 
Cost-of-Living Adjustment)] x (1 + IME + (DSH * 0.25))
--Federal Payment for Capital Costs = MS-DRG Relative Weight x 
Federal Capital Rate x Geographic Adjustment Fact x (l + IME + DSH)

    Step 4--Determine operating and capital costs:

--Operating Costs = (Billed Charges x Operating CCR)
--Capital Costs = (Billed Charges x Capital CCR)

    Step 5--Compute operating and capital outlier threshold (CMS 
applies a geographic adjustment to the operating and capital outlier 
threshold to account for local cost variation):

--Operating CCR to Total CCR = (Operating CCR)/(Operating CCR + 
Capital CCR)
--Operating Outlier Threshold = [Fixed Loss Threshold x ((Labor-
Related Portion x CBSA Wage Index) + Nonlabor-Related portion)] x 
Operating CCR to Total CCR + Federal Payment with IME, DSH + 
Uncompensated Care Payment + supplemental payment for eligible IHS/
Tribal hospitals and Puerto Rico hospitals + New Technology Add-On 
Payment Amount
--Capital CCR to Total CCR = (Capital CCR)/(Operating CCR + Capital 
CCR)
--Capital Outlier Threshold = (Fixed Loss Threshold x Geographic 
Adjustment Factor x Capital CCR to Total CCR) + Federal Payment with 
IME and DSH

    Step 6--Compute operating and capital outlier payments:

--Marginal Cost Factor = 0.80 or 0.90 (depending on the MS-DRG)
--Operating Outlier Payment = (Operating Costs--Operating Outlier 
Threshold) x Marginal Cost Factor
--Capital Outlier Payment = (Capital Costs--Capital Outlier 
Threshold) x Marginal Cost Factor

    The payment rate may then be further adjusted for hospitals that 
qualify for a low-volume payment adjustment under section 
1886(d)(12) of the Act and 42 CFR 412.101(b). The base-operating DRG 
payment amount may be further adjusted by the hospital readmissions 
payment adjustment and the hospital VBP payment adjustment as 
described under sections 1886(q) and 1886(o) of the Act, 
respectively. Payments also may be reduced by the 1-percent 
adjustment under the HAC Reduction Program as described in section 
1886(p) of the Act. We also make new technology add-on payments in 
accordance with section 1886(d)(5)(K) and (L) of the Act. Finally, 
we add the uncompensated care payment and supplemental payment for 
eligible IHS/Tribal hospitals and Puerto Rico hospitals to the total 
claim payment amount. As noted in the previous formula, we take 
uncompensated care payments, supplemental payments for eligible IHS/
Tribal hospitals and Puerto Rico hospitals, and new technology add-
on payments into consideration when calculating outlier payments.

3. Hospital-Specific Rate (Applicable Only to SCHs and MDHs)

a. Calculation of Hospital-Specific Rate

    Section 1886(b)(3)(C) of the Act provides that SCHs are paid 
based on whichever of the following rates yields the greatest 
aggregate payment: the Federal rate; the updated hospital-specific 
rate based on FY 1982 costs per discharge; the updated hospital-
specific rate based on FY 1987 costs per discharge; the updated 
hospital-specific rate based on FY 1996 costs per discharge; or the 
updated hospital-specific rate based on FY 2006 costs per discharge 
to determine the rate that yields the greatest aggregate payment. As 
discussed previously, currently MDHs are paid based on the Federal 
national rate or, if higher, the Federal national rate plus 75 
percent of the difference between the Federal national rate and the 
greater of the updated hospital-specific rates based on either FY 
1982, FY 1987, or FY 2002 costs per discharge. As noted, under 
current law, the MDH program is effective for FY 2025 discharges on 
or before September 30, 2025.
    For a more detailed discussion of the calculation of the 
hospital-specific rates, we refer readers to the FY 1984 IPPS 
interim final rule (48 FR 39772); the April 20, 1990, final rule 
with comment period (55 FR 15150); the FY 1991 IPPS final rule (55 
FR 35994); and the FY 2001 IPPS final rule (65 FR 47082).

b. Updating the FY 1982, FY 1987, FY 1996, FY 2002 and FY 2006 
Hospital-Specific Rate for FY 2026

    Section 1886(b)(3)(B)(iv) of the Act provides that the 
applicable percentage increase applicable to the hospital-specific 
rates for SCHs and MDHs equals the applicable percentage increase 
set forth in section 1886(b)(3)(B)(i) of the Act (that is, the same 
update factor as for all other hospitals subject to the IPPS). 
Because the Act sets the update factor for SCHs and MDHs equal to 
the update factor for all other IPPS hospitals, the update to the 
hospital-specific rates for SCHs and MDHs is subject to the 
amendments to section 1886(b)(3)(B) of the Act made by sections 
3401(a) and 10319(a) of the Affordable Care Act. As discussed in 
section V.F. of the preamble of this proposed rule, section 2202 of 
the Full-Year Continuing Appropriations and Extensions Act, 2025 
further extended the MDH program through FY 2025. Therefore, under 
current law, the MDH program will expire for discharges on or after 
October 1, 2025. We refer readers to section V.F. of the preamble of 
this proposed rule for further discussion of the MDH program. We 
note that if the MDH program were to be extended by law beyond 
September 30, 2025, into FY 2026, the proposed updates to the 
hospital-specific rates for SCHs as described in this section would 
also apply to the hospital-specific rates for MDHs for FY 2026.
    Accordingly, the proposed applicable percentage increases to the 
hospital-specific rates applicable to SCHs are the following:

[[Page 18440]]



----------------------------------------------------------------------------------------------------------------
                                                     Hospital        Hospital      Hospital did    Hospital did
                                                     submitted       submitted      NOT submit      NOT submit
                                                   quality data    quality data    quality data    quality data
                     FY 2026                         and is a      and is NOT a      and is a      and is NOT a
                                                  meaningful EHR  meaningful EHR  meaningful EHR  meaningful EHR
                                                       user            user            user            user
----------------------------------------------------------------------------------------------------------------
Proposed Market Basket Rate-of-Increase.........             3.2             3.2             3.2             3.2
Proposed Adjustment for Failure to Submit                      0               0            -0.8            -0.8
 Quality Data under Section 1886(b)(3)(B)(viii)
 of the Act.....................................
Proposed Adjustment for Failure to be a                        0            -2.4               0            -2.4
 Meaningful EHR User under Section
 1886(b)(3)(B)(ix) of the Act...................
Proposed Productivity Adjustment under Section              -0.8            -0.8            -0.8            -0.8
 1886(b)(3)(B)(xi) of the Act...................
                                                 ---------------------------------------------------------------
    Proposed Applicable Percentage Increase                  2.4             0.0             1.6            -0.8
     Applied to Standardized Amount.............
----------------------------------------------------------------------------------------------------------------

    For a complete discussion of the applicable percentage increase 
applied to the hospital-specific rates for SCHs and MDHs, we refer 
readers to section V.F. of the preamble of this proposed rule.
    In addition, because SCHs and MDHs use the same MS-DRGs as other 
hospitals when they are paid based in whole or in part on the 
hospital-specific rate, the hospital-specific rate is adjusted by a 
budget neutrality factor to ensure that changes to the MS-DRG 
classifications and the recalibration of the MS-DRG relative weights 
are made in a manner so that aggregate IPPS payments are unaffected. 
Therefore, the hospital specific-rate for an SCH or MDH is adjusted 
by the proposed MS-DRG reclassification and recalibration budget 
neutrality factor, as discussed in section III. of this Addendum and 
listed in the table in section II. of this Addendum. In addition, as 
discussed in section II.E.2.d. of the preamble this proposed rule 
and previously, we are applying a permanent 10-percent cap on the 
reduction in a MS-DRG's relative weight in a given fiscal year, as 
finalized in the FY 2023 IPPS/LTCH PPS final rule. Because SCHs and 
MDHs use the same MS-DRGs as other hospitals when they are paid 
based in whole or in part on the hospital-specific rate, consistent 
with the policy adopted in the FY 2023 IPPS/LTCH PPS final rule (87 
FR 48897 through 48900 and 49432 through 49433), the hospital 
specific-rate for an SCH would be adjusted by the proposed MS-DRG 
10-percent cap budget neutrality factor. The resulting rate is used 
in determining the payment rate that an SCH would receive for its 
discharges beginning on or after October 1, 2025.

III. Proposed Changes to Payment Rates for Acute Care Hospital 
Inpatient Capital-Related Costs for FY 2026

    The PPS for acute care hospital inpatient capital-related costs 
was implemented for cost reporting periods beginning on or after 
October 1, 1991. The basic methodology for determining Federal 
capital prospective rates is set forth in the regulations at 42 CFR 
412.308 through 412.352. In this section of this Addendum, we 
discuss the factors that we are proposing to use to determine the 
capital Federal rate for FY 2026, which would be effective for 
discharges occurring on or after October 1, 2025.
    All hospitals (except ``new'' hospitals under Sec.  
412.304(c)(2)) are paid based on the capital Federal rate. We 
annually update the capital standard Federal rate, as provided in 
Sec.  412.308(c)(1), to account for capital input price increases 
and other factors. The regulations at Sec.  412.308(c)(2) also 
provide that the capital Federal rate be adjusted annually by a 
factor equal to the estimated proportion of outlier payments under 
the capital Federal rate to total capital payments under the capital 
Federal rate. In addition, Sec.  412.308(c)(3) requires that the 
capital Federal rate be reduced by an adjustment factor equal to the 
estimated proportion of payments for exceptions under Sec.  412.348. 
(We note that, as discussed in the FY 2013 IPPS/LTCH PPS final rule 
(77 FR 53705), there is generally no longer a need for an exceptions 
payment adjustment factor.) However, in limited circumstances, an 
additional payment exception for extraordinary circumstances is 
provided for under Sec.  412.348(f) for qualifying hospitals. 
Therefore, in accordance with Sec.  412.308(c)(3), an exceptions 
payment adjustment factor may need to be applied if such payments 
are made. Section 412.308(c)(4)(ii) requires that the capital 
standard Federal rate be adjusted so that the effects of the annual 
DRG reclassification and the recalibration of DRG weights and 
changes in the geographic adjustment factor (GAF) are budget 
neutral.
    Section 412.374 provides for payments to hospitals located in 
Puerto Rico under the IPPS for acute care hospital inpatient 
capital-related costs, which currently specifies capital IPPS 
payments to hospitals located in Puerto Rico are based on 100 
percent of the Federal rate.

A. Determination of the Proposed Federal Hospital Inpatient 
Capital-Related Prospective Payment Rate Update for FY 2026

    In the discussion that follows, we explain the factors that we 
are proposing to use to determine the capital Federal rate for FY 
2026. In particular, we explain why the proposed FY 2026 capital 
Federal rate would increase approximately 3.28 percent, compared to 
the FY 2025 capital Federal rate. As discussed in the impact 
analysis in Appendix A to this proposed rule, we estimate that 
capital payments per discharge would increase approximately 2.7 
percent during that same period. Because capital payments constitute 
approximately 10 percent of hospital payments, a 1-percent change in 
the capital Federal rate yields only approximately a 0.1 percent 
change in actual payments to hospitals.

1. Projected Capital Standard Federal Rate Update

    Under Sec.  412.308(c)(1), the capital standard Federal rate is 
updated on the basis of an analytical framework that takes into 
account changes in a capital input price index (CIPI) and several 
other policy adjustment factors. Specifically, we adjust the 
projected CIPI rate of change, as appropriate, each year for case-
mix index-related changes, for intensity, and for errors in previous 
CIPI forecasts. The proposed update factor for FY 2026 under that 
framework is 2.6 percent based on a projected 2.6 percent increase 
in the proposed 2023-based CIPI, a proposed 0.0 percentage point 
adjustment for intensity, a proposed 0.0 percentage point adjustment 
for case-mix, a proposed 0.0 percentage point adjustment for the DRG 
reclassification and recalibration, and a proposed forecast error 
correction of 0.0 percentage point. As discussed in section III.C. 
of this Addendum, we continue to believe that the CIPI is the most 
appropriate input price index for capital costs to measure capital 
price changes in a given year. We also explain the basis for the FY 
2026 CIPI projection in that same section of this Addendum. In this 
proposed rule, we describe the policy adjustments that we are 
proposing to apply in the update framework for FY 2026.
    The case-mix index is the measure of the average DRG weight for 
cases paid under the IPPS. Because the DRG weight determines the 
prospective payment for each case, any percentage increase in the 
case-mix index corresponds to an equal percentage increase in 
hospital payments.
    The case-mix index can change for any of several reasons--
     The average resource use of Medicare patient changes 
(``real'' case-mix change);
     Changes in hospital documentation and coding of patient 
records result in higher-weighted DRG assignments (``coding 
effects''); or
     The annual DRG reclassification and recalibration 
changes may not be budget neutral (``reclassification effect'').
    We define real case-mix change as actual changes in the mix (and 
resource requirements) of Medicare patients, as opposed to changes 
in documentation and coding behavior that result in assignment of

[[Page 18441]]

cases to higher-weighted DRGs, but do not reflect higher resource 
requirements. The capital update framework includes the same case-
mix index adjustment used in the former operating IPPS update 
framework (as discussed in the May 18, 2004, IPPS proposed rule for 
FY 2005 (69 FR 28816)). (We no longer use an update framework to 
make a recommendation for updating the operating IPPS standardized 
amounts, as discussed in section II. of appendix B to the FY 2006 
IPPS final rule (70 FR 47707).)
    For FY 2026, we are projecting a 0.5 percent total increase in 
the case-mix index. We estimated that the real case-mix increase 
would equal 0.5 percent for FY 2026. The net adjustment for change 
in case-mix is the difference between the projected real increases 
in case mix and the projected total increase in case mix. Therefore, 
the proposed net adjustment for case-mix change in FY 2026 is 0.0 
percentage point.
    The capital update framework also contains an adjustment for the 
effects of DRG reclassification and recalibration. This adjustment 
is intended to remove the effect on total payments of prior year's 
changes to the DRG classifications and relative weights, to retain 
budget neutrality for all case-mix index-related changes other than 
those due to patient severity of illness. Due to the lag time in the 
availability of data, there is a 2-year lag in data used to 
determine the adjustment for the effects of DRG reclassification and 
recalibration. For example, for this proposed rule, we have the FY 
2024 MedPAR claims data available to evaluate the effects of the FY 
2024 DRG reclassification and recalibration as part of our update 
for FY 2026. We assume for purposes of this adjustment, that the 
estimate of FY 2024 DRG reclassification and recalibration would 
result in no change in the case-mix when compared with the case mix 
index that would have resulted if we had not made the 
reclassification and recalibration changes to the DRGs. Therefore, 
we are proposing to make a 0.0 percentage point adjustment for 
reclassification and recalibration in the update framework for FY 
2026.
    The capital update framework also contains an adjustment for 
forecast error. The input price index forecast is based on 
historical trends and relationships ascertainable at the time the 
update factor is established for the upcoming year. In any given 
year, there may be unanticipated price fluctuations that may result 
in differences between the actual increase in prices and the 
forecast used in calculating the update factors. In setting a 
prospective payment rate under the framework, we make an adjustment 
for forecast error only if the difference in the actual increase and 
projected increase of the capital input price index for any year is 
greater than 0.25 percentage point in absolute terms. There is a 2-
year lag between the forecast and the availability of data to 
develop a measurement of the forecast error. Historically, when a 
forecast error of the CIPI is greater than 0.25 percentage point in 
absolute terms, it is reflected in the update recommended under this 
framework. The forecast error in any given year can be derived as 
the actual CIPI increase less the forecasted CIPI increase. A 
forecast error of -0.1 percentage point was calculated for the FY 
2024 update, for which there are historical data. That is, current 
historical data indicate that actual realized price increases (2.8 
percent) were 0.1 percentage point lower than the forecasted FY 2024 
CIPI increase (2.9 percent) used in calculating the FY 2024 update 
factor. As this does not exceed the 0.25 percentage point threshold, 
we are not proposing an adjustment for forecast error in the update 
for FY 2026.
    Under the capital IPPS update framework, we also make an 
adjustment for changes in intensity. Historically, we calculate this 
adjustment using the same methodology and data that were used in the 
past under the framework for operating IPPS. The intensity factor 
for the operating update framework reflects how hospital services 
are utilized to produce the final product, that is, the discharge. 
This component accounts for changes in the use of quality-enhancing 
services, for changes within DRG severity, and for expected 
modification of practice patterns to remove noncost-effective 
services. Our intensity measure is based on a 5-year average.
    We calculate case-mix constant intensity as the change in total 
cost per discharge, adjusted for price level changes (the Consumer 
Price Index for hospital and related services) and changes in real 
case-mix. Without reliable estimates of the proportions of the 
overall annual intensity changes that are due, respectively, to 
ineffective practice patterns and the combination of quality-
enhancing new technologies and complexity within the DRG system, we 
assume that one-half of the annual change is due to each of these 
factors. Thus, the capital update framework provides an add-on to 
the input price index rate of increase of one-half of the estimated 
annual increase in intensity, to allow for increases within DRG 
severity and the adoption of quality-enhancing technology.
    In this proposed rule, we are proposing to continue to use a 
Medicare-specific intensity measure that is based on a 5-year 
adjusted average of cost per discharge for FY 2026 (we refer readers 
to the FY 2011 IPPS/LTCH PPS final rule (75 FR 0436) for a full 
description of our Medicare-specific intensity measure). 
Specifically, for FY 2026, we are proposing to use an intensity 
measure that is based on an average of cost-per-discharge data from 
the 5-year period beginning with FY 2019 and extending through FY 
2023. Based on these data, we estimated that case-mix constant 
intensity declined during FYs 2019 through 2023. In the past, when 
we found intensity to be declining, we believed a zero (rather than 
a negative) intensity adjustment was appropriate. Consistent with 
this approach, because we estimated that intensity declined during 
that 5-year period, we believe it is appropriate to continue to 
apply a zero-intensity adjustment for FY 2026. Therefore, we are 
proposing to make a 0.0 percentage point adjustment for intensity in 
the update for FY 2026.
    Earlier, we described the basis of the components we used to 
develop the proposed 2.6 percent capital update factor under the 
capital update framework for FY 2026, as shown in the following 
table.

       Proposed FY 2026 Update Factor to the Capital Federal Rate
------------------------------------------------------------------------
 
------------------------------------------------------------------------
Capital Input Price Index *.....................................     2.6
Intensity:......................................................     0.0
Case-Mix Adjustment Factors:
    Projected Case-Mix Change...................................    -0.5
    Real Across DRG Change......................................     0.5
    Subtotal....................................................     0.0
Effect of FY 2024 Reclassification and Recalibration............     0.0
Forecast Error Correction.......................................     0.0
                                                                 -------
        Total Update............................................     2.6
------------------------------------------------------------------------
* The capital input price index represents the proposed 2023-based CIPI.

2. Outlier Payment Adjustment Factor

    Section 412.312(c) establishes a unified outlier payment 
methodology for inpatient operating and inpatient capital-related 
costs. A shared threshold is used to identify outlier cases for both 
inpatient operating and inpatient capital-related payments. Section 
412.308(c)(2) provides that the standard Federal rate for inpatient 
capital-related costs be reduced by an adjustment factor equal to 
the estimated proportion of capital-related outlier payments to 
total inpatient capital-related PPS payments. The outlier threshold 
is set so that operating outlier payments are projected to be 5.1 
percent of total operating IPPS DRG payments. For FY 2026, we are 
proposing to continue to incorporate the impact of estimated 
operating outlier reconciliation payment amounts into the outlier 
threshold model. (For more details on our proposal to incorporate an 
estimate of the impact of operating outlier reconciliation payment 
amounts into the outlier threshold model, see section II.A.4.i. of 
this Addendum to this proposed rule.)
    For FY 2025, we estimated that outlier payments for capital-
related PPS payments would equal 4.23 percent of inpatient capital-
related payments based on the capital Federal rate. Based on the 
threshold discussed in section II.A. of this Addendum, we estimate 
that prior to taking into account projected capital outlier 
reconciliation payments, outlier payments for capital-related costs 
would equal 4.16 percent of inpatient capital-related payments based 
on the proposed capital Federal rate in FY 2026. Using the proposal 
outlined in section II.A.4.i. of this Addendum, we estimate that 
taking into account projected capital outlier reconciliation 
payments would decrease the estimated percentage of FY 2026 capital 
outlier payments by 0.03 percent. Therefore, accounting for 
estimated capital outlier reconciliation, the estimated outlier 
payments for capital-related PPS payments would equal 4.13 percent 
(4.16 percent-0.03 percent) of inpatient capital-related payments 
based on the proposed capital Federal rate in FY 2026. Accordingly, 
we are proposing to apply an outlier adjustment factor of 0.9587 in 
determining the capital Federal rate for FY 2026. Thus, we estimate 
that the percentage of capital outlier payments to total capital 
Federal rate payments for FY 2026 would be lower than the percentage 
we estimated for FY 2025.
    The outlier reduction factors are not built permanently into the 
capital rates; that is,

[[Page 18442]]

they are not applied cumulatively in determining the capital Federal 
rate. The proposed FY 2026 outlier adjustment of 0.9587 is a 0.11 
percent change from the FY 2025 outlier adjustment of 0.9577. 
Therefore, the proposed net change in the outlier adjustment to the 
capital Federal rate for FY 2026 is 1.0011 (0.9587/0.9577) so that 
the proposed outlier adjustment would increase the FY 2026 capital 
Federal rate by approximately 0.11 percent compared to the FY 2025 
outlier adjustment.

3. Budget Neutrality Adjustment Factor for Changes in DRG 
Classifications and Weights and the GAF

    Section 412.308(c)(4)(ii) requires that the capital Federal rate 
be adjusted so that aggregate payments for the fiscal year based on 
the capital Federal rate, after any changes resulting from the 
annual DRG reclassification and recalibration and changes in the 
GAF, are projected to equal aggregate payments that would have been 
made on the basis of the capital Federal rate without such changes.
    As discussed in section III.G.5. of the preamble of this 
proposed rule, in the FY 2020 IPPS/LTCH PPS final rule (84 FR 42325 
through 42339), we finalized a policy to address wage index 
disparities between high and low wage index hospitals by increasing 
the wage index values for hospitals with a wage index value below 
the 25th percentile wage index. We stated that this policy would be 
effective for at least 4 years, beginning in FY 2020. This policy 
was applied in FYs 2020 through 2024. In the FY 2025 IPPS/LTCH PPS 
final rule (89 FR 69301 through 69308), we adopted an extension of 
this policy for at least three more years, beginning in FY 2025. 
However, in the FY 2025 IPPS/LTCH PPS interim final action with 
comment period (IFC) titled ``Medicare Program; Changes to the 
Fiscal Year 2025 Hospital Inpatient Prospective Payment System 
(IPPS) Rates Due to Court Decision'' (referred to herein as the FY 
2025 IFC) (89 FR 80406 through 80408), after consideration of the 
D.C. Circuit's decision in Bridgeport Hosp. v. Becerra, we 
recalculated the FY 2025 hospital wage index to remove the low wage 
hospital policy for FY 2025. The recalculation of the FY 2025 
hospital wage index impacted the FY 2025 GAFs. In- the FY 2025 IFC 
(89 FR 80412), we also modified the calculation of the GAF budget 
neutrality adjustment factor that ensured budget neutrality for 
changes to the GAFs due to the lowest quartile hospital wage index 
adjustment and the 5-percent cap on wage index decreases policy (our 
policy to place a 5 percent cap on any decrease in a hospital's wage 
index from the hospital's final wage index in the prior fiscal 
year). Specifically, we modified this calculation to ensure budget 
neutrality for changes to the GAFs due only to the 5-percent cap on 
wage index decreases policy.
    As discussed in section III.G.5. of the preamble of this 
proposed rule, for FY 2026 and subsequent fiscal years, we are 
proposing to discontinue the low wage index hospital policy and 
associated budget neutrality adjustment. In addition, as discussed 
in section IIII.G.7. of the preamble of this proposed rule, we 
recognize that some hospitals that previously benefitted from the 
low wage index hospital policy would experience decreases of 10 
percent or more over the two years from their FY 2024 wage index 
(with the low wage index hospital policy applied) to their proposed 
FY 2026 wage index. Therefore, in addition to our permanent 5-
percent wage index cap policy at 42 CFR 412.64(h)(7), we are 
proposing to establish a narrow transitional exception to the 
calculation of FY 2026 payments for hospitals significantly impacted 
by the discontinuation of the low wage index hospital policy, that 
would be implemented in a budget neutral manner. Specifically, we 
are proposing that for hospitals that benefitted from the low wage 
index hospital policy in FY 2024 and whose FY 2026 wage index is 
decreasing by more than 9.75 percent from the hospital's FY 2024 
wage index, we would establish a transitional payment exception for 
FY 2026 for that hospital that would be equal to the additional FY 
2026 amount the hospital would be paid under the IPPS if its FY 2026 
wage index were equal to 90.25 percent of its FY 2024 wage index. 
Under that proposal, we indicated we are proposing to make a budget 
neutral equivalent exception under the capital IPPS. In this 
section, we refer to this proposed policy as the transition for the 
discontinuation of the low wage index hospital policy.
    As referenced previously, beginning in FY 2023, we finalized at 
42 CFR 412.64(h)(7) a permanent 5-percent cap on any decrease to a 
hospital's wage index from its wage index in the prior FY regardless 
of the circumstances causing the decline. That is, under this 
policy, a hospital's wage index value would not be less than 95 
percent of its prior year value (87 FR 49018 through 49021). In this 
section, we refer to our permanent policy to place a 5-percent cap 
on any decrease in a hospital's wage index from the hospital's final 
wage index in the prior fiscal year as the 5-percent cap on wage 
index decreases policy. We note that the proposed transitional 
payment exception for FY 2026 discussed previously would be applied 
after the application of the 5-percent cap on wage index decreases 
policy. Given these proposed changes, we are proposing to augment 
our historical methodology for computing the budget neutrality 
factor for proposed changes in the GAFs.
    Specifically, we are proposing to use a 2-step methodology for 
computing the budget neutrality factor for changes in the GAFs in 
light of the effect of those proposed wage index changes on the 
GAFs. In the first step, we propose to calculate a factor to ensure 
budget neutrality for changes to the GAFs due to the update to the 
wage data, wage index reclassifications and redesignations, and 
application of the rural floor policy, consistent with our 
historical GAF budget neutrality factor methodology. In the second 
step, we propose to calculate a factor to ensure budget neutrality 
for changes to the GAFs due to the 5-percent cap on wage index 
decreases policy and the proposed transition for the discontinuation 
of the low wage index hospital policy.
    The budget neutrality factors applied for changes to the GAFs 
due to the update to the wage data, wage index reclassifications and 
redesignations, and application of the rural floor policy are built 
permanently into the capital Federal rate; that is, they are applied 
cumulatively in determining the capital Federal rate. However, the 
budget neutrality factor for the 5-percent cap on wage index 
decreases policy is not permanently built into the capital Federal 
rate. This is because the GAFs with 5-percent cap on wage index 
decreases policy applied from the previous year are not used in the 
budget neutrality factor calculations for the current year. 
Accordingly, and consistent with this approach, prior to calculating 
the proposed GAF budget neutrality factors for FY 2026, we removed 
from the capital Federal rate the budget neutrality factor applied 
in FY 2025 for the 5-percent cap on wage index decreases policy. 
Specifically, we divided the capital Federal rate by the FY 2025 
budget neutrality factor of 0.9992 (89 FR 80412). (We refer the 
reader to the FY 2022 IPPS/LTCH PPS final rule (86 FR 45552) for 
additional discussion on our policy of removing from the capital 
Federal rate the prior year budget neutrality factor(s) that are not 
used in the budget neutrality factor calculations for the current 
year.)
    We discuss our proposed 2-step calculation of the proposed GAF 
budget neutrality factors for FY 2026 as follows. To determine the 
GAF budget neutrality factors for FY 2026, we first compared 
estimated aggregate capital Federal rate payments based on the FY 
2025 MS-DRG classifications and relative weights and the FY 2025 
GAFs to estimated aggregate capital Federal rate payments based on 
the FY 2025 MS-DRG classifications and relative weights and the 
proposed FY 2026 GAFs without incorporating the 5-percent cap on 
wage index decreases policy and the proposed transition for the 
discontinuation of the low wage index hospital policy. To achieve 
budget neutrality for these proposed changes in the GAFs, we 
calculated an incremental GAF budget neutrality adjustment factor of 
1.0140 for FY 2026.
    Next, we compared estimated aggregate capital Federal rate 
payments based on the proposed FY 2026 GAFs with and without the 5-
percent cap on wage index decreases policy and the proposed 
transition for the discontinuation of the low wage index hospital 
policy. For this calculation, estimated aggregate capital Federal 
rate payments were calculated using the proposed FY 2026 MS-DRG 
classifications and relative weights (after application of the 10-
percent cap discussed later in this section) and the proposed FY 
2026 GAFs (both with and without the 5-percent cap on wage index 
decreases policy and the proposed transition for the discontinuation 
of the low wage index hospital policy). (We note, for this 
calculation the proposed GAFs included the imputed floor, out-
migration, and Frontier State adjustments.) To achieve budget 
neutrality for the effects of the 5-percent cap on wage index 
decreases policy and the proposed transition for the discontinuation 
of the low wage index hospital policy on the proposed FY 2026 GAFs, 
we calculated an incremental GAF budget neutrality adjustment factor 
of 0.9927.
    The budget neutrality factor for the 5-percent cap on wage index 
decreases policy

[[Page 18443]]

and the proposed transition for the discontinuation of the low wage 
index hospital policy is not permanently built into the capital 
Federal rate. Consistent with this, we present the proposed budget 
neutrality factor for the 5-percent cap on wage index decreases 
policy and the proposed transition for the discontinuation of the 
low wage index hospital policy calculated under the second step of 
this 2-step methodology separately from the other proposed budget 
neutrality factors in the discussion that follows, and this proposed 
factor is not included in the calculation of the proposed combined 
GAF/DRG adjustment factor described later in this section.
    In the FY 2023 IPPS/LTCH PPS final rule, we finalized a 
permanent 10-percent cap on the reduction in an MS-DRG's relative 
weight in a given fiscal year, beginning in FY 2023. Consistent with 
our historical methodology for adjusting the capital standard 
Federal rate to ensure that the effects of the annual DRG 
reclassification and the recalibration of DRG weights are budget 
neutral under Sec.  412.308(c)(4)(ii), we finalized to apply an 
additional budget neutrality factor to the capital standard Federal 
rate so that the 10-percent cap on decreases in an MS-DRG's relative 
weight is implemented in a budget neutral manner (87 FR 49436). 
Specifically, we augmented our historical methodology for computing 
the budget neutrality factor for the annual DRG reclassification and 
recalibration by computing a budget neutrality adjustment for the 
annual DRG reclassification and recalibration in two steps. We first 
calculate a budget neutrality factor to account for the annual DRG 
reclassification and recalibration prior to the application of the 
10-percent cap on MS-DRG relative weight decreases. Then we 
calculate an additional budget neutrality factor to account for the 
application of the 10-percent cap on MS-DRG relative weight 
decreases.
    To determine the proposed DRG budget neutrality factors for FY 
2026, we first compared estimated aggregate capital Federal rate 
payments based on the FY 2025 MS-DRG classifications and relative 
weights to estimated aggregate capital Federal rate payments based 
on the proposed FY 2026 MS-DRG classifications and relative weights 
prior to the application of the 10-percent cap. For these 
calculations, estimated aggregate capital Federal rate payments were 
calculated using the proposed FY 2026 GAFs without the 5-percent cap 
on wage index decreases policy and the proposed transition for the 
discontinuation of the low wage index hospital policy. The proposed 
incremental adjustment factor for DRG classifications and changes in 
relative weights prior to the application of the 10-percent cap is 
0.9982. Next, we compared estimated aggregate capital Federal rate 
payments based on the proposed FY 2026 MS-DRG classifications and 
relative weights prior to the application of the 10-percent cap to 
estimated aggregate capital Federal rate payments based on the 
proposed FY 2026 MS-DRG classifications and relative weights after 
the application of the 10-percent cap. For these calculations, 
estimated aggregate capital Federal rate payments were also 
calculated using the proposed FY 2026 GAFs without the 5 percent cap 
on wage index decreases policy and the proposed transition for the 
discontinuation of the low wage index hospital policy. The proposed 
incremental adjustment factor for the application of the 10-percent 
cap on relative weight decreases is 0.9999. Therefore, to achieve 
budget neutrality for the proposed FY 2026 MS-DRG reclassification 
and recalibration (including the 10-percent cap), based on the 
calculations described previously, we are proposing to apply an 
incremental budget neutrality adjustment factor of 0.9982 (0.9982 x 
0.9999) for FY 2026 to the capital Federal rate. We note that all 
the values are calculated with unrounded numbers.
    The proposed incremental adjustment factor for the proposed FY 
2026 MS-DRG reclassification and recalibration (0.9982) and for 
proposed changes in the FY 2026 GAFs due to the proposed update to 
the wage data, wage index reclassifications and redesignations, and 
application of the rural floor policy (1.0140) is 1.0121 (0.9982 x 
1.0140). This incremental adjustment factor is built permanently 
into the capital Federal rates.
    To achieve budget neutrality for the effects of the 5-percent 
cap on wage index decreases policy and the proposed transition for 
the discontinuation of the low wage index hospital policy on the FY 
2026 GAFs, as described previously, we calculated a proposed budget 
neutrality adjustment factor of 0.9927 for FY 2026. We refer to this 
proposed budget neutrality factor for the remainder of this section 
as the cap/transition adjustment factor.
    We applied the proposed budget neutrality adjustment factors 
described previously to the capital Federal rate. This follows the 
requirement under Sec.  412.308(c)(4)(ii) that estimated aggregate 
payments each year be no more or less than they would have been in 
the absence of the annual DRG reclassification and recalibration and 
changes in the GAFs.
    The methodology used to determine the recalibration and 
geographic adjustment factor (GAF/DRG) budget neutrality adjustment 
is similar to the methodology used in establishing budget neutrality 
adjustments under the IPPS for operating costs. One difference is 
that, under the operating IPPS, the budget neutrality adjustments 
for the effect of updates to the wage data, wage index 
reclassifications and redesignations, and application of the rural 
floor policy are determined separately. Under the capital IPPS, 
there is a single budget neutrality adjustment factor for changes in 
the GAF that result from updates to the wage data, wage index 
reclassifications and redesignations, and application of the rural 
floor policy. In addition, there is no adjustment for the effects 
that geographic reclassification, the 5-percent cap on wage index 
decreases policy, or the proposed transition for the discontinuation 
of the low wage index hospital policy described previously have on 
the other payment parameters, such as the payments for DSH or IME.
    The proposed incremental GAF/DRG adjustment factor of 1.0121 
accounts for the proposed MS-DRG reclassifications and recalibration 
(including application of the 10-percent cap on relative weight 
decreases) and for proposed changes in the GAFs that result from 
proposed updates to the wage data, the effects on the GAFs of FY 
2026 geographic reclassification decisions made by the MGCRB 
compared to FY 2025 decisions, and the application of the rural 
floor policy. The proposed cap/transition adjustment factor of 
0.9927 accounts for changes that result from the 5-percent cap on 
wage index decreases policy and the proposed transition for the 
discontinuation of the low wage index hospital policy. However, 
these factors do not account for changes in payments due to changes 
in the DSH and IME adjustment factors.

4. Capital Federal Rate for FY 2026

    For FY 2025, we established a capital Federal rate of $512.14 
(89 FR 80412). We are proposing to establish an update of 2.6 
percent in determining the FY 2026 capital Federal rate for all 
hospitals. As a result of this proposed update and the proposed 
budget neutrality factors discussed earlier, we are proposing to 
establish a national capital Federal rate of $528.95 for FY 2026. 
The proposed national capital Federal rate for FY 2026 was 
calculated as follows:
     The proposed FY 2026 update factor is 1.026; that is, 
the proposed update is 2.6 percent.
     The proposed FY 2026 GAF/DRG budget neutrality 
adjustment factor that is applied to the capital Federal rate for 
proposed changes in the MS-DRG classifications and relative weights 
(including application of the 10-percent cap on relative weight 
decreases) and proposed changes in the GAFs that result from updates 
to the wage data, wage index reclassifications and redesignations, 
and application of the rural floor policy is 1.0121.
     The proposed FY 2026 cap/transition budget neutrality 
adjustment factor that is applied to the capital Federal rate for 
changes due to the 5-percent cap on wage index decreases policy and 
the proposed transition for the discontinuation of the low wage 
index hospital policy is 0.9927.
     The proposed FY 2026 outlier adjustment factor is 
0.9587.
    We are providing the following chart that shows how each of the 
proposed factors and adjustments for FY 2026 affects the computation 
of the proposed FY 2026 national capital Federal rate in comparison 
to the FY 2025 national capital Federal rate. The proposed FY 2026 
update factor has the effect of increasing the capital Federal rate 
by 2.6 percent compared to the FY 2025 capital Federal rate. The 
proposed GAF/DRG budget neutrality adjustment factor has the effect 
of increasing the capital Federal rate by 1.21 percent. The proposed 
FY 2026 cap/transition budget neutrality adjustment factor has the 
effect of decreasing the capital Federal rate by 0.65 percent 
compared to the FY 2025 capital Federal rate. The proposed FY 2026 
outlier adjustment factor has the effect of increasing the capital 
Federal rate by 0.11 percent compared to the FY 2025 capital Federal 
rate. The combined effect of all the proposed changes would increase 
the national capital Federal rate by

[[Page 18444]]

approximately 3.28 percent, compared to the FY 2025 national capital 
Federal rate.

 Comparison of Factors and Adjustments--FY 2025 Capital Federal Rate and
                the Proposed FY 2026 Capital Federal Rate
------------------------------------------------------------------------
                                          Proposed              Percent
                               FY 2025    FY 2026     Change     change
------------------------------------------------------------------------
Update Factor \1\...........     1.0310     1.0260     1.0260       2.60
GAF/DRG Adjustment Factor        0.9854     1.0121     1.0121       1.21
 \1\........................
GAF Cap/Transition               0.9992     0.9927     0.9935      -0.65
 Adjustment Factor \2\......
Outlier Adjustment Factor        0.9577     0.9587     1.0011       0.11
 \3\........................
Capital Federal Rate........    $512.14    $528.95     1.0328   \4\ 3.28
------------------------------------------------------------------------
\1\ The update factor and the GAF/DRG budget neutrality adjustment
  factors are built permanently into the capital Federal rate. Thus, for
  example, the incremental change from FY 2025 to FY 2026 resulting from
  the application of the proposed 1.0121 GAF/DRG budget neutrality
  adjustment factor for FY 2025 is a net change of 1.0121 (or 1.21
  percent).
\2\ For FY 2025 the GAF Cap/Transition budget neutrality adjustment
  factor reflects only the FY 2025 budget neutrality factor for the 5-
  percent cap on wage index decreases policy. The GAF Cap/Transition
  budget neutrality adjustment factor is not built permanently into the
  capital Federal rate; that is, the factor is not applied cumulatively
  in determining the capital Federal rate. Thus, for example, the net
  change resulting from the application of the proposed FY 2026 GAF Cap/
  Transition budget neutrality adjustment factor is 0.9927/0.9992 or
  0.9935 (or -0.65 percent).
\3\ The outlier reduction factor is not built permanently into the
  capital Federal rate; that is, the factor is not applied cumulatively
  in determining the capital Federal rate. Thus, for example, the net
  change resulting from the application of the proposed FY 2026 outlier
  adjustment factor is 0.9587/0.9577 or 1.0011 (or 0.11 percent).
\4\ Percent change may not sum due to rounding.

B. Calculation of the Proposed Inpatient Capital-Related 
Prospective Payments for FY 2026

    For purposes of calculating payments for each discharge during 
FY 2026, the capital Federal rate is adjusted as follows: (Standard 
Federal Rate) x (DRG weight) x (GAF) x (COLA for hospitals located 
in Alaska and Hawaii) x (1 + DSH Adjustment Factor + IME Adjustment 
Factor, if applicable). The result is the adjusted capital Federal 
rate.
    Hospitals also may receive outlier payments for those cases that 
qualify under the threshold established for each fiscal year. 
Section 412.312(c) provides for a shared threshold to identify 
outlier cases for both inpatient operating and inpatient capital-
related payments. The proposed outlier threshold for FY 2026 is in 
section II.A. of this Addendum. For FY 2026, a case will qualify as 
a cost outlier if the cost for the case is greater than the 
prospective payment rates for the MS-DRG plus IME and DSH payments 
(including the empirically justified Medicare DSH payment and the 
estimated uncompensated care payment), estimated supplemental 
payment for eligible IHS/Tribal hospitals and Puerto Rico hospitals, 
and any add-on payments for new technology, plus the proposed fixed-
loss amount of $44,305.
    Currently, as provided under Sec.  412.304(c)(2), we pay a new 
hospital 85 percent of its reasonable costs during the first 2 years 
of operation, unless it elects to receive payment based on 100 
percent of the capital Federal rate. Effective with the third year 
of operation, we pay the hospital based on 100 percent of the 
capital Federal rate (that is, the same methodology used to pay all 
other hospitals subject to the capital PPS).

C. Capital Input Price Index

1. Background

    Like the operating input price index, the capital input price 
index (CIPI) is a fixed-weight price index that measures the price 
changes associated with capital costs during a given year. The CIPI 
differs from the operating input price index in one important 
aspect--the CIPI reflects the vintage nature of capital, which is 
the acquisition and use of capital over time. Capital expenses in 
any given year are determined by the stock of capital in that year 
(that is, capital that remains on hand from all current and prior 
capital acquisitions). An index measuring capital price changes 
needs to reflect this vintage nature of capital. Therefore, the CIPI 
was developed to capture the vintage nature of capital by using a 
weighted average of past capital purchase prices up to and including 
the current year.
    For this proposed rule, we are proposing to use the IPPS 
operating and capital market baskets that reflect a 2023 base year. 
For a complete discussion of the proposal to rebase the IPPS 
operating and capital market baskets, we refer readers to section 
IV. of the preamble of this proposed rule.

2. Forecast of the CIPI for FY 2026

    Based on IHS Global Inc.'s (IGI) fourth quarter 2024 forecast, 
for this proposed rule, we are forecasting the proposed 2023-based 
CIPI to increase 2.6 percent in FY 2026. This reflects a projected 
3.2 percent increase in vintage-weighted depreciation prices 
(building and fixed equipment, and movable equipment), and a 
projected 3.4 percent increase in other capital expense prices in FY 
2026, partially offset by a projected 0.8 percent decline in 
vintage-weighted interest expense prices in FY 2026. The weighted 
average of these three factors produces the forecasted 2.6 percent 
increase for the proposed 2023-based CIPI in FY 2026.
    We are also proposing that if more recent data become available 
(for example, a more recent estimate of the percentage increase in 
the proposed 2023-based CIPI), we would use such data, if 
appropriate, to determine the FY 2026 capital update factor for the 
final rule.

IV. Proposed Changes to Payment Rates for Excluded Hospitals: Rate-of-
Increase Percentages for FY 2026

    Payments for services furnished in children's hospitals, 11 
cancer hospitals, and hospitals located outside the 50 States, the 
District of Columbia and Puerto Rico (that is, short-term acute care 
hospitals located in the U.S. Virgin Islands, Guam, the Northern 
Mariana Islands, and American Samoa) that are excluded from the IPPS 
are paid on the basis of reasonable costs based on the hospital's 
own historical cost experience, subject to a rate-of-increase 
ceiling. A per discharge limit (the target amount, as defined in 
Sec.  413.40(a) of the regulations) is set for each hospital, based 
on the hospital's own cost experience in its base year, and updated 
annually by a rate-of-increase percentage specified in Sec.  
413.40(c)(3). In addition, as specified in the FY 2018 IPPS/LTCH PPS 
final rule (82 FR 38536), effective for cost reporting periods 
beginning during FY 2018, the annual update to the target amount for 
extended neoplastic disease care hospitals (hospitals described in 
Sec.  412.22(i) of the regulations) also is the rate-of-increase 
percentage specified in Sec.  413.40(c)(3). (We note that, in 
accordance with Sec.  403.752(a), religious nonmedical health care 
institutions (RNHCIs) are also subject to the rate-of-increase 
limits established under Sec.  413.40 of the regulations.)
    For this FY 2026 IPPS/LTCH PPS proposed rule, based on IGI's 
2024 fourth quarter forecast, we estimate that the proposed 2023-
based IPPS operating market basket percentage increase for FY 2026 
is 3.2 percent (that is, the estimate of the market basket rate-of-
increase). Based on this estimate, the proposed FY 2026 rate-of-
increase percentage that will be applied to the FY 2025 target 
amounts in order to calculate the proposed FY 2026 target amounts 
for children's hospitals, the 11 cancer hospitals, RNCHIs, short-
term acute care hospitals located in the U.S. Virgin Islands, Guam, 
the Northern Mariana Islands, and American Samoa, and extended 
neoplastic disease care hospitals will be 3.2 percent, in accordance 
with the applicable regulations at 42 CFR 413.40. We are also 
proposing that if more recent data become available (for example a 
more recent estimate of the market basket rate-of-increase), we 
would use such data, if appropriate, to

[[Page 18445]]

calculate the final IPPS operating market basket update for FY 2026.
    IRFs and rehabilitation distinct part units, IPFs and 
psychiatric units, and LTCHs are excluded from the IPPS and paid 
under their respective PPSs. The IRF PPS, the IPF PPS, and the LTCH 
PPS are updated annually. We refer readers to section VIII. of the 
preamble and section V. of the Addendum of this proposed rule for 
the changes to the Federal payment rates for LTCHs under the LTCH 
PPS for FY 2026. The annual updates for the IRF PPS and the IPF PPS 
are issued by the agency in separate Federal Register documents.

V. Proposed Changes to the Payment Rates for the LTCH PPS for FY 2026

A. Proposed LTCH PPS Standard Federal Payment Rate for FY 2026

1. Overview

    In section IX. of the preamble of this proposed rule, we discuss 
our annual updates to the payment rates, factors, and specific 
policies under the LTCH PPS for FY 2026.
    Under Sec.  412.523(c)(3) of the regulations, for FY 2012 and 
subsequent years, we updated the standard Federal payment rate by 
the most recent estimate of the LTCH PPS market basket at that time, 
including additional statutory adjustments required by sections 
1886(m)(3) (citing sections 1886(b)(3)(B)(xi)(II) and 1886(m)(4) of 
the Act as set forth in the regulations at Sec.  412.523(c)(3)(viii) 
through (xvii)). (For a summary of the payment rate development 
prior to FY 2012, we refer readers to the FY 2018 IPPS/LTCH PPS 
final rule (82 FR 38310 through 38312) and references therein.)
    Section 1886(m)(3)(A) of the Act specifies that, for rate year 
2012 and each subsequent rate year, any annual update to the 
standard Federal payment rate shall be reduced by the productivity 
adjustment described in section 1886(b)(3)(B)(xi)(II) of the Act as 
discussed in section IX.C.2. of the preamble of this proposed rule. 
This section of the Act further provides that the application of 
section 1886(m)(3)(B) of the Act may result in the annual update 
being less than zero for a rate year, and may result in payment 
rates for a rate year being less than such payment rates for the 
preceding rate year. (As noted in section IX.C.2. of the preamble of 
this proposed rule, the annual update to the LTCH PPS occurs on 
October 1 and we have adopted the term ``fiscal year'' (FY) rather 
than ``rate year'' (RY) under the LTCH PPS beginning October 1, 
2010. Therefore, for purposes of clarity, when discussing the annual 
update for the LTCH PPS, including the provisions of the Affordable 
Care Act, we use the term ``fiscal year'' rather than ``rate year'' 
for 2011 and subsequent years.)
    For LTCHs that fail to submit the required quality reporting 
data in accordance with the LTCH QRP, the annual update is reduced 
by 2.0 percentage points as required by section 1886(m)(5) of the 
Act.

2. Development of the Proposed FY 2026 LTCH PPS Standard Federal 
Payment Rate

    Consistent with our historical practice and Sec.  
412.523(c)(3)(xvii), for FY 2026, we are proposing to apply the 
annual update to the LTCH PPS standard Federal payment rate from the 
previous year. Furthermore, in determining the proposed LTCH PPS 
standard Federal payment rate for FY 2026, we also are proposing to 
make certain regulatory adjustments, consistent with past practices. 
Specifically, in determining the proposed FY 2026 LTCH PPS standard 
Federal payment rate, we are proposing to apply a budget neutrality 
adjustment factor for the changes related to the area wage level 
adjustment (that is, changes to the wage data and labor-related 
share) as discussed in section V.B.6. of this Addendum.
    In this proposed rule, we are proposing to establish an annual 
update to the LTCH PPS standard Federal payment rate of 2.6 percent 
(that is, the most recent estimate of the 2022-based LTCH market 
basket increase of 3.4 percent less the proposed productivity 
adjustment of 0.8 percentage point). Therefore, in accordance with 
Sec.  412.523(c)(3)(xvii), we are proposing to apply an update 
factor of 1.026 to the FY 2025 LTCH PPS standard Federal payment 
rate of $49,383.26 to determine the proposed FY 2026 LTCH PPS 
standard Federal payment rate. Also, in accordance with Sec.  
412.523(c)(3)(xvii) and (c)(4), we are required to reduce the annual 
update to the LTCH PPS standard Federal payment rate by 2.0 
percentage points for LTCHs that fail to submit the required quality 
reporting data for FY 2026 as required under the LTCH QRP. 
Therefore, for LTCHs that fail to submit quality reporting data 
under the LTCH QRP, we are proposing to establish an annual update 
to the LTCH PPS standard Federal payment rate of 0.6 percent (or an 
update factor of 1.006). This proposed update reflects the proposed 
annual market basket update of 3.4 percent reduced by the proposed 
0.8 percentage point productivity adjustment, as required by section 
1886(m)(3)(A)(i) of the Act, minus 2.0 percentage points for LTCHs 
failing to submit quality data under the LTCH QRP, as required by 
section 1886(m)(5) of the Act. Consistent with Sec.  412.523(d)(4), 
we are proposing to apply an area wage level budget neutrality 
factor to the FY 2026 LTCH PPS standard Federal payment rate of 
1.0012146, based on the best available data at this time, to ensure 
that any proposed changes to the area wage level adjustment (that 
is, the proposed annual update of the wage index (including 
application of the 5-percent cap on wage index decreases, discussed 
later in this section), and proposed labor-related share) would not 
result in any change (increase or decrease) in estimated aggregate 
LTCH PPS standard Federal payment rate payments. Accordingly, we are 
proposing to establish an LTCH PPS standard Federal payment rate of 
$50,728.77 (calculated as $49,383.26 x 1.026 x 1.0012146) for FY 
2026. For LTCHs that fail to submit quality reporting data for FY 
2026, in accordance with the requirements of the LTCH QRP under 
section 1866(m)(5) of the Act, we are proposing to establish an LTCH 
PPS standard Federal payment rate of $49,739.90 (calculated as 
$49,383.26 x 1.006 x 1.0012146) for FY 2026.

B. Proposed Adjustment for Area Wage Levels Under the LTCH PPS for 
FY 2026

1. Background

    Under the authority of section 123 of the BBRA, as amended by 
section 307(b) of the BIPA, we established an adjustment to the LTCH 
PPS standard Federal payment rate to account for differences in LTCH 
area wage levels under Sec.  412.525(c). The labor-related share of 
the LTCH PPS standard Federal payment rate is adjusted to account 
for geographic differences in area wage levels by applying the 
applicable LTCH PPS wage index. The applicable LTCH PPS wage index 
is computed using wage data from inpatient acute care hospitals 
without regard to reclassification under section 1886(d)(8) or 
section 1886(d)(10) of the Act.
    The proposed FY 2026 LTCH PPS standard Federal payment rate wage 
index values that would be applicable for LTCH PPS standard Federal 
payment rate discharges occurring on or after October 1, 2025, 
through September 30, 2026, are presented in Table 12A (for urban 
areas) and Table 12B (for rural areas), which are listed in section 
VI. of this Addendum and available via the internet on the CMS 
website.

2. Proposed Geographic Classifications (Labor Market Areas) Under the 
LTCH PPS

    In adjusting for the differences in area wage levels under the 
LTCH PPS, the labor-related portion of an LTCH's Federal prospective 
payment is adjusted by using an appropriate area wage index based on 
the geographic classification (labor market area) in which the LTCH 
is located. Specifically, the application of the LTCH PPS area wage 
level adjustment under existing Sec.  412.525(c) is made based on 
the location of the LTCH--either in an ``urban area,'' or a ``rural 
area,'' as defined in Sec.  412.503. Under Sec.  412.503, an ``urban 
area'' is defined as a Metropolitan Statistical Area (MSA) (which 
includes a Metropolitan division, where applicable), as defined by 
the Executive OMB, and a ``rural area'' is defined as any area 
outside of an urban area (75 FR 37246).
    The geographic classifications (labor market area definitions) 
currently used under the LTCH PPS are based on the Core Based 
Statistical Areas (CBSAs) established by OMB. In the July 16, 2021, 
Federal Register (86 FR 37777), OMB finalized a schedule for future 
updates based on results of the decennial Census updates to 
commuting patterns from the American Community Survey. In accordance 
with that schedule, on July 21, 2023, OMB released Bulletin No. 23-
01. According to OMB, the delineations reflect the 2020 Standards 
for Delineating Core Based Statistical Areas (``the 2020 
Standards''), which appeared in the Federal Register on July 16, 
2021 (86 FR 37770 through 37778), and the application of those 
standards to Census Bureau population and journey-to-work data (that 
is, 2020 Decennial Census, American Community Survey, and Census 
Population Estimates Program data). A copy of OMB Bulletin No. 23-01 
may be obtained at https://bidenwhitehouse.archives.gov/wp-content/uploads/2023/07/OMB-Bulletin-23-01.pdf.
    In the FY 2025 IPPS/LTCH PPS final rule, we stated that we 
believe that adopting the

[[Page 18446]]

CBSA-based labor market area delineations established in OMB 
Bulletin 23-01 will ensure that the LTCH PPS area wage level 
adjustment most appropriately accounts for and reflects the relative 
hospital wage levels in the geographic area of the hospital as 
compared to the national average hospital wage level based on the 
best available data that reflect the local economies and area wage 
levels of the hospitals that are currently located in these 
geographic areas (89 FR 69974). We also noted that our adoption of 
the revised delineations announced in OMB Bulletin No. 23-01 is 
consistent with the changes under the IPPS for FY 2025. Therefore, 
in that same final rule, we adopted the updates set forth in OMB 
Bulletin No. 23-01, under the authority of section 123 of the BBRA, 
as amended by section 307(b) of the BIPA, for the LTCH PPS effective 
for FY 2025. We refer readers to the FY 2025 IPPS/LTCH PPS final 
rule (89 FR 69973 through 69975), for a full discussion of our 
implementation of the OMB delineations based on OMB Bulletin No. 23-
01 for the LTCH PPS. For additional information on the CBSA-based 
labor market area (geographic classification) delineations used 
under the LTCH PPS and the history of the labor market area 
definitions used under the LTCH PPS, we refer readers to the FY 2015 
IPPS/LTCH PPS final rule (79 FR 50180 through 50185).
    We continue to believe that the CBSA-based labor market area 
delineations, as established in OMB Bulletin 23-01, would ensure 
that the LTCH PPS area wage level adjustment most appropriately 
accounts for and reflects the relative hospital wage levels in the 
geographic area of the hospital as compared to the national average 
hospital wage level based on the best available data that reflect 
the local economies and area wage levels of the hospitals that are 
currently located in these geographic areas (89 FR 69974). 
Therefore, for FY 2026, we are proposing to continue to use the 
CBSA-based labor market area delineations as established in OMB 
Bulletin 23-01 and adopted in the FY 2025 IPPS/LTCH final rule.
    CBSAs are made up of one or more constituent counties. For FY 
2026, we are continuing to use the Federal Information Processing 
Standard (FIPS) county codes, maintained by the U.S. Census Bureau, 
for purposes of crosswalking counties to CBSAs. The current county-
to-CBSA crosswalk was adopted under the LTCH PPS in the FY 2025 
IPPS/LTCH PPS final rule (89 FR 69973 through 69975) and is located 
on the CMS website at https://www.cms.gov/medicare/payment/prospective-payment-systems/long-term-care-hospital/other-files-download.

3. Proposed Labor-Related Share for the LTCH PPS Standard Federal 
Payment Rate

    Under the payment adjustment for the differences in area wage 
levels under Sec.  412.525(c), the labor-related share of an LTCH's 
standard Federal payment rate is adjusted by the applicable wage 
index for the labor market area in which the LTCH is located. The 
LTCH PPS labor-related share currently represents the sum of the 
labor-related portion of operating costs and a labor-related portion 
of capital costs using the applicable LTCH market basket. Additional 
background information on the historical development of the labor-
related share under the LTCH PPS can be found in the RY 2007 LTCH 
PPS final rule (71 FR 27810 through 27817 and 27829 through 27830) 
and the FY 2012 IPPS/LTCH PPS final rule (76 FR 51766 through 51769 
and 51808).
    Effective FY 2025, we rebased and revised the 2017-based LTCH 
market basket to reflect a 2022 base year and determined the labor-
related share annually as the sum of the relative importance of each 
labor-related cost category in the 2022-based LTCH market basket 
using the most recent available data. (For more details, we refer 
readers to the FY 2025 IPPS/LTCH PPS final rule (89 FR 69435 through 
69455).)
    In this proposed rule, consistent with our historical practice, 
we are proposing that the LTCH PPS labor-related share for FY 2026 
would be the sum of the FY 2026 relative importance of each labor-
related cost category in the LTCH market basket using the most 
recent available data. Specially, we are proposing that the labor-
related share for FY 2026 is the sum of the labor-related portion of 
operating costs from the 2022-based LTCH market basket (that is, the 
sum of the FY 2026 relative importance shares of Wages and Salaries; 
Employee Benefits; Professional Fees: Labor-Related; Administrative 
and Facilities Support Services; Installation, Maintenance, and 
Repair Services; All Other: Labor-Related Services) and a portion of 
the relative importance of Capital-Related cost weight from the 
2022-based LTCH market basket. The relative importance reflects the 
different rates of price change for these cost categories between 
the base year (2022) and FY 2026. Based on IHS Global Inc.'s fourth 
quarter 2024 forecast of the 2022-based LTCH market basket, the sum 
of the FY 2026 relative importance for Wages and Salaries; Employee 
Benefits; Professional Fees: Labor-Related; Administrative and 
Facilities Support Services; Installation, Maintenance, and Repair 
Services; and All Other: Labor-Related Services is 69.2 percent. The 
portion of capital-related costs that is influenced by the local 
labor market is estimated to be 46 percent (that is, the same 
percentage applied to the 2009-based, 2013-based, and 2017-based 
LTCH market basket capital-related costs relative importance). Since 
the FY 2026 relative importance for capital-related costs is 8.4 
percent based on IHS Global Inc.'s fourth quarter 2024 forecast of 
the 2022-based LTCH market basket, we took 46 percent of 8.4 percent 
to determine the labor-related share of capital-related costs for FY 
2026 of 3.9 percent. Therefore, we are proposing a total labor-
related share for FY 2026 of 73.1 percent (the sum of 69.2 percent 
for the labor-related share of operating costs and 3.9 percent for 
the labor-related share of capital-related costs). Consistent with 
our historical practice, we are proposing that if more recent data 
become available after the publication of the proposed rule and 
before the publication of the final rule (for example, a more recent 
estimate of the relative importance of each labor-related cost 
category of the 2022-based LTCH market basket), we will use such 
data, if appropriate, to determine the FY 2026 LTCH PPS labor-
related share.

4. Proposed Wage Index for FY 2026 for the LTCH PPS Standard Federal 
Payment Rate

    Historically, we have established LTCH PPS area wage index 
values calculated from acute care IPPS hospital wage data without 
taking into account geographic reclassification under sections 
1886(d)(8) and 1886(d)(10) of the Act (67 FR 56019). The area wage 
level adjustment established under the LTCH PPS is based on an 
LTCH's actual location without regard to the ``urban'' or ``rural'' 
designation of any related or affiliated provider. As with the IPPS 
wage index, wage data for multicampus hospitals with campuses 
located in different labor market areas (CBSAs) are apportioned to 
each CBSA where the campus (or campuses) are located. We also employ 
a policy for determining area wage index values for areas where 
there are no IPPS wage data.
    Consistent with our historical methodology, to determine the 
applicable area wage index values for the FY 2026 LTCH PPS standard 
Federal payment rate, under the broad authority of section 123 of 
the BBRA, as amended by section 307(b) of the BIPA, we are proposing 
to continue to employ our historical practice of using the same data 
we used to compute the proposed FY 2026 acute care hospital 
inpatient wage index, as discussed in section III. of the preamble 
of this proposed rule (that is, wage data collected from cost 
reports submitted by IPPS hospitals for cost reporting periods 
beginning during FY 2022) because these data are the most recent 
complete data available.
    In addition, we are proposing to compute the FY 2026 LTCH PPS 
standard Federal payment rate area wage index values consistent with 
the ``urban'' and ``rural'' geographic classifications (that is, the 
proposed labor market area delineations as previously discussed in 
section V.B. of this Addendum) and our historical policy of not 
taking into account IPPS geographic reclassifications under sections 
1886(d)(8) and 1886(d)(10) of the Act in determining payments under 
the LTCH PPS. We are also proposing to continue to apportion the 
wage data for multicampus hospitals with campuses located in 
different labor market areas to each CBSA where the campus or 
campuses are located, consistent with the IPPS policy. Lastly, 
consistent with our existing methodology for determining the LTCH 
PPS wage index values, for FY 2026, we are proposing to continue to 
use our existing policy for determining area wage index values for 
areas where there are no IPPS wage data. Under our existing 
methodology, the LTCH PPS wage index value for urban CBSAs with no 
IPPS wage data is determined by using an average of all of the urban 
areas within the State, and the LTCH PPS wage index value for rural 
areas with no IPPS wage data is determined by using the unweighted 
average of the wage indices from all of the CBSAs that are 
contiguous to the rural counties of the State.
    Based on the FY 2022 IPPS wage data that we are proposing to use 
to determine the proposed FY 2026 LTCH PPS area wage index values in 
this proposed rule, there are no IPPS wage data for the urban area 
of Hinesville, GA (CBSA 25980). Consistent

[[Page 18447]]

with our existing methodology, we calculated the proposed FY 2026 
wage index value for CBSA 25980 as the average of the wage index 
values for all of the other urban areas within the State of Georgia 
(that is, proposed CBSAs 10500, 12020, 12054, 12260, 15260, 16860, 
17980, 19140, 23580, 31420, 31924, 40660, 42340, 46660, and 47580), 
as shown in Table 12A, which is listed in section VI. of this 
Addendum.
    Based on the FY 2022 IPPS wage data that we are proposing to use 
to determine the proposed FY 2026 LTCH PPS area wage index values in 
this proposed rule, there are no IPPS wage data for rural North 
Dakota (CBSA 35). Consistent with our existing methodology, we 
calculated the proposed FY 2026 wage index value for CBSA 35 as the 
average of the wage index values for all proposed CBSAs that are 
contiguous to the rural counties of the State (that is, proposed 
CBSAs 13900, 22020, 24220, and 33500), as shown in Table 12B, which 
is listed in section VI. of this Addendum. We note that, as IPPS 
wage data are dynamic, it is possible that the number of urban and 
rural areas without IPPS wage data will vary in the future.

5. Cap on Wage Index Decreases

a. Cap on LTCH PPS Wage Index Decreases

    In the FY 2023 IPPS/LTCH PPS final rule (87 FR 49440 through 
49442), we finalized a policy that applies a permanent 5-percent cap 
on any decrease to an LTCH's wage index from its wage index in the 
prior year. Consistent with the requirement at Sec.  412.525(c)(2) 
that changes to area wage level adjustments are made in a budget 
neutral manner, we include the application of this policy in the 
determination of the area wage level budget neutrality factor that 
is applied to the standard Federal payment rate, as is discussed 
later in section V.B.6. of this Addendum.
    Under this policy, an LTCH's wage index will not be less than 95 
percent of its wage index for the prior fiscal year. An LTCH's wage 
index cap adjustment is determined based on the wage index value 
applicable to the LTCH on the last day of the prior Federal fiscal 
year. However, for newly opened LTCHs that become operational on or 
after the first day of the fiscal year, these LTCHs will not be 
subject to the LTCH PPS wage index cap since they were not paid 
under the LTCH PPS in the prior year. For example, newly opened 
LTCHs that become operational during FY 2026 would not be eligible 
for the LTCH PPS wage index cap in FY 2026. These LTCHs would 
receive the calculated wage index for the area in which they are 
geographically located, even if other LTCHs in the same geographic 
area are receiving a wage index cap. The cap on wage index decreases 
policy is reflected at Sec.  412.525(c)(1).
    For each LTCH we identify in our rulemaking data, we are 
including in a supplemental data file the wage index values from 
both fiscal years used in determining its capped wage index. This 
includes the LTCH's final prior year wage index value, the LTCH's 
uncapped current year wage index value, and the LTCH's capped 
current year wage index value. Due to the lag in rulemaking data, a 
new LTCH may not be listed in this supplemental file for a few 
years. For this reason, a newly opened LTCH could contact their MAC 
to ensure that its wage index value is not less than 95 percent of 
the value paid to it for the prior Federal fiscal year. This 
supplemental data file for public use will be posted on the CMS 
website for this proposed rule at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html.

b. Cap on IPPS Comparable Wage Index Decreases

    Determining LTCH PPS payments for short-stay-outlier cases 
(reflected in Sec.  412.529) and site neutral payment rate cases 
(reflected in Sec.  412.522(c)) requires calculating an ``IPPS 
comparable amount.'' For information on this ``IPPS comparable 
amount'' calculation, we refer the reader to the FY 2016 IPPS/LTCH 
PPS final rule (80 FR 49608 through 49610). Determining LTCH PPS 
payments for LTCHs that do not meet the applicable discharge payment 
percentage (reflected in Sec.  412.522(d)) requires calculating an 
``IPPS equivalent amount.'' For information on this ``IPPS 
equivalent amount'' calculation, we refer the reader to the FY 2020 
IPPS/LTCH PPS final rule (84 FR 42439 through 42445).
    Calculating both the ``IPPS comparable amount'' and the ``IPPS 
equivalent amount'' requires adjusting the IPPS operating and 
capital standardized amounts by the applicable IPPS wage index for 
nonreclassified IPPS hospitals. That is, the standardized amounts 
are adjusted by the IPPS wage index for nonreclassified IPPS 
hospitals located in the same geographic area as the LTCH. In the FY 
2023 IPPS/LTCH PPS final rule (87 FR 49442 through 49443), we 
finalized a policy that applies a permanent 5-percent cap on 
decreases in an LTCH's applicable IPPS comparable wage index from 
its applicable IPPS comparable wage index in the prior year. 
Historically, we have not budget neutralized changes to LTCH PPS 
payments that result from the annual update of the IPPS wage index 
for nonreclassified IPPS hospitals. Consistent with this approach, 
the cap on decreases in an LTCH's applicable IPPS comparable wage 
index is not applied in a budget neutral manner.
    Under this policy, an LTCH's applicable IPPS comparable wage 
index will not be less than 95 percent of its applicable IPPS 
comparable wage index for the prior fiscal year. An LTCH's 
applicable IPPS comparable wage index cap adjustment is determined 
based on the wage index value applicable to the LTCH on the last day 
of the prior Federal fiscal year. However, for newly opened LTCHs 
that become operational on or after the first day of the fiscal 
year, these LTCHs will not be subject to the applicable IPPS 
comparable wage index cap since they were not paid under the LTCH 
PPS in the prior year. For example, newly opened LTCHs that become 
operational during FY 2026 would not be eligible for the applicable 
IPPS comparable wage index cap in FY 2026. This means that these 
LTCHs would receive the calculated applicable IPPS comparable wage 
index for the area in which they are geographically located, even if 
other LTCHs in the same geographic area are receiving a wage cap. 
The cap on IPPS comparable wage index decreases policy is reflected 
at Sec.  412.529(d)(4)(ii)(B) and (d)(4)(iii)(B).
    Similar to the information we are making available for the cap 
on the LTCH PPS wage index values (described previously), for each 
LTCH we identify in our rulemaking data, we are including in a 
supplemental data file the wage index values from both fiscal years 
used in determining its capped applicable IPPS comparable wage 
index. Due to the lag in rulemaking data, a new LTCH may not be 
listed in this supplemental file for a few years. For this reason, a 
newly opened LTCH could contact its MAC to ensure that its 
applicable IPPS comparable wage index value is not less than 95 
percent of the value paid to them for the prior Federal fiscal year. 
This supplemental data file for public use will be posted on the CMS 
website for this proposed rule at: https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html.

6. Proposed Budget Neutrality Adjustments for Changes to the LTCH PPS 
Standard Federal Payment Rate Area Wage Level Adjustment

    Historically, the LTCH PPS wage index and labor-related share 
are updated annually based on the latest available data. Under Sec.  
412.525(c)(2), any changes to the area wage index values or labor-
related share are to be made in a budget neutral manner such that 
estimated aggregate LTCH PPS payments are unaffected; that is, will 
be neither greater than nor less than estimated aggregate LTCH PPS 
payments without such changes to the area wage level adjustment. 
Under this policy, we determine an area wage level adjustment budget 
neutrality factor that is applied to the standard Federal payment 
rate to ensure that any changes to the area wage level adjustments 
are budget neutral such that any changes to the area wage index 
values or labor-related share would not result in any change 
(increase or decrease) in estimated aggregate LTCH PPS payments. 
Accordingly, under Sec.  412.523(d)(4), we have applied an area wage 
level adjustment budget neutrality factor in determining the 
standard Federal payment rate, and we also established a methodology 
for calculating an area wage level adjustment budget neutrality 
factor. (For additional information on the establishment of our 
budget neutrality policy for changes to the area wage level 
adjustment, we refer readers to the FY 2012 IPPS/LTCH PPS final rule 
(76 FR 51771 through 51773 and 51809).)
    For FY 2026, in accordance with Sec.  412.523(d)(4), we are 
applying a proposed area wage level budget neutrality factor to 
adjust the LTCH PPS standard Federal payment rate to account for the 
estimated effect of the adjustments or updates to the area wage 
level adjustment under Sec.  412.525(c)(1) on estimated aggregate 
LTCH PPS payments, consistent with the methodology we established in 
the FY 2012 IPPS/LTCH PPS final rule (76 FR 51773). As discussed in 
section V.B.5. of this Addendum, consistent with, Sec.  
412.525(c)(2), we include the application of the 5-percent cap on 
wage index decreases in the determination of the proposed area wage

[[Page 18448]]

level budget neutrality factor. Specifically, we are proposing to 
determine an area wage level adjustment budget neutrality factor 
that is applied to the LTCH PPS standard Federal payment rate under 
Sec.  412.523(d)(4) for FY 2026 using the following methodology:
    Step 1--Simulate estimated aggregate LTCH PPS standard Federal 
payment rate payments using the FY 2025 wage index values and the FY 
2025 labor-related share of 72.8 percent.
    Step 2--Simulate estimated aggregate LTCH PPS standard Federal 
payment rate payments using the proposed FY 2026 wage index values 
(including the application of the 5-percent cap on wage index 
decreases) and the proposed FY 2026 labor-related share of 73.1 
percent. (As noted previously, the proposed changes to the wage 
index values based on updated hospital wage data are discussed in 
section V.B.4. of this Addendum and the proposed labor-related share 
is discussed in section V.B.3. of this Addendum.)
    Step 3--Calculate the ratio of these estimated total LTCH PPS 
standard Federal payment rate payments by dividing the estimated 
total LTCH PPS standard Federal payment rate payments using the FY 
2025 area wage level adjustments (calculated in Step 1) by the 
estimated total LTCH PPS standard Federal payment rate payments 
using the proposed FY 2026 updates to the area wage level adjustment 
(calculated in Step 2) to determine the proposed budget neutrality 
factor for updates to the area wage level adjustment for FY 2026 
LTCH PPS standard Federal payment rate payments.
    Step 4--Apply the proposed FY 2026 updates to the area wage 
level adjustment budget neutrality factor from Step 3 to determine 
the proposed FY 2026 LTCH PPS standard Federal payment rate after 
the application of the proposed FY 2026 annual update.
    We are proposing to use the most recent data available, 
including claims from the FY 2024 MedPAR file, in calculating the FY 
2026 LTCH PPS standard Federal payment rate area wage level 
adjustment budget neutrality factor. We note that, because the area 
wage level adjustment under Sec.  412.525(c) is an adjustment to the 
LTCH PPS standard Federal payment rate, consistent with historical 
practice, we only used data from claims that qualified for payment 
at the LTCH PPS standard Federal payment rate under the dual rate 
LTCH PPS to calculate the FY 2026 LTCH PPS standard Federal payment 
rate area wage level adjustment budget neutrality factor.
    For this proposed rule, using the steps in the methodology 
previously described, we determined a proposed FY 2026 LTCH PPS 
standard Federal payment rate area wage level adjustment budget 
neutrality factor of 1.0012146. Accordingly, in section V.A. of this 
Addendum, we applied the proposed area wage level adjustment budget 
neutrality factor of 1.0012146 to determine the proposed FY 2026 
LTCH PPS standard Federal payment rate, in accordance with Sec.  
412.523(d)(4).

C. Proposed Cost-of-Living Adjustment (COLA) for LTCHs Located in 
Alaska and Hawaii

    Under Sec.  412.525(b), a cost-of-living adjustment (COLA) is 
provided for LTCHs located in Alaska and Hawaii to account for the 
higher costs incurred in those States. Specifically, we apply a COLA 
to payments to LTCHs located in Alaska and Hawaii by multiplying the 
nonlabor-related portion of the standard Federal payment rate by the 
applicable COLA factors established annually by CMS. Higher labor-
related costs for LTCHs located in Alaska and Hawaii are taken into 
account in the adjustment for area wage levels.
    The current methodology used to determine the COLA factors for 
Alaska and Hawaii is based on the 2009 OPM COLAs (which are the last 
COLA factors OPM published prior to transitioning from COLA to 
locality pay) by a comparison of the growth in the Consumer Price 
Indexes (CPIs) for Urban Alaska and Urban Hawaii, relative to the 
growth in the CPI for the average U.S. city as published by the 
Bureau of Labor Statistics (BLS). We use the comparison of the 
growth in the overall CPI relative to the growth in the CPI for 
those areas to update the COLA factors for all areas in Alaska and 
Hawaii, respectively, because BLS publishes CPI data for only Urban 
Alaska and Urban Hawaii. Using the respective CPI commodities index 
and CPI services index and using the approximate commodities/
services shares obtained from the IPPS market basket, we create 
reweighted CPIs for each of the respective areas to reflect the 
underlying composition of the IPPS market basket nonlabor-related 
share. The methodology also includes our discretionary authority to 
adjust payments to hospitals in Alaska and Hawaii by incorporating 
the statutorily mandated cap of 25 percent that was applied when 
determining OPM's COLA factors (77 FR 53482). Under this policy, we 
have updated the COLA factors using this methodology every 4 years 
(at the same time as the update to the labor-related share of the 
IPPS market basket) beginning in FY 2014. We refer readers to the FY 
2013 IPPS/LTCH PPS final rule (77 FR 53481 through 53482) for a 
detailed description of this methodology.
    In the FY 2022 IPPS/LTCH PPS final rule (86 FR 45559 through 
45560), we last updated the COLA factors for LTCHs using the 
methodology that we finalized in the FY 2013 IPPS/LTCH PPS final 
rule (77 FR 53481 through 53482) and CPI data through 2020. We 
utilized these COLA factors for FYs 2022 through 2025 to adjust the 
nonlabor-related portion of the standardized amount for hospitals 
located in Alaska and Hawaii. (We note the same COLA methodology and 
factors were used under the IPPS and LTCH PPS for FYs 2022 through 
2025.)
    As stated previously, we have historically updated the COLA 
factors at the same time as the update to the labor-related share of 
the IPPS market basket (77 FR 53482). In section III.H. the preamble 
of this proposed rule, we are proposing to update the labor-related 
share of the IPPS market basket. The table below lists the COLA 
factors for Alaska and Hawaii hospitals as calculated under the 
methodology that we finalized in the FY 2013 IPPS/LTCH PPS final 
rule (77 FR 53481 through 53482), using updated CPI data through 
2024 and the approximate 60 percent commodities/40 percent services 
shares obtained from the proposed 2023-based IPPS market basket. For 
comparison purposes, we also are presenting the COLA factors for FYs 
2022 through 2025.

          Comparison of Cost-of-Living Adjustment (COLA) Factors--Alaska and Hawaii Under the LTCH PPS
----------------------------------------------------------------------------------------------------------------
                                                                                   Updated COLA
                                                                      FY 2022      factors under
                              Area                                  through FY        current       Difference
                                                                       2025         methodology
----------------------------------------------------------------------------------------------------------------
Alaska:
    City of Anchorage and 80-kilometer (50-mile) radius by road.            1.22            1.18           -0.04
    City of Fairbanks and 80-kilometer (50-mile) radius by road.            1.22            1.18           -0.04
    City of Juneau and 80-kilometer (50-mile) radius by road....            1.22            1.18           -0.04
    Rest of Alaska..............................................            1.24            1.20           -0.04
Hawaii:
    City and County of Honolulu.................................            1.25            1.25  ..............
    County of Hawaii............................................            1.22            1.21           -0.01
    County of Kauai.............................................            1.25            1.25  ..............
    County of Maui and County of Kalawao........................            1.25            1.25  ..............
----------------------------------------------------------------------------------------------------------------


[[Page 18449]]

    At this time, consistent with the approach proposed under the 
IPPS as discussed in section II.B.2. of this Addendum, we believe it 
would be appropriate to maintain the current COLA factors for FY 
2026 to allow us to consider whether it would be appropriate to 
incorporate additional data sources or other methodology changes in 
determining the adjustment we make to LTCH PPS payments to account 
for the unique circumstances of LTCHs located in Alaska and Hawaii. 
Therefore, under the broad authority conferred upon the Secretary by 
section 123 of the BBRA, as amended by section 307(b) of the BIPA, 
to determine appropriate payment adjustments under the LTCH PPS, for 
FY 2026 we are proposing to continue to use the FY 2025 COLA factors 
(which were originally established in the FY 2022 IPPS/LTCH PPS 
final rule, as described previously). The following table lists the 
proposed FY 2026 COLA factors.

   Proposed FY 2026 Cola Factors--Alaska and Hawaii Under the LTCH PPS
------------------------------------------------------------------------
                         Area                            Proposed COLA
------------------------------------------------------------------------
Alaska:
    City of Anchorage and 80-kilometer (50-mile)                    1.22
     radius by road..................................
    City of Fairbanks and 80-kilometer (50-mile)                    1.22
     radius by road..................................
    City of Juneau and 80-kilometer (50-mile) radius                1.22
     by road.........................................
    Rest of Alaska...................................               1.24
Hawaii:
    City and County of Honolulu......................               1.25
    County of Hawaii.................................               1.22
    County of Kauai..................................               1.25
    County of Maui and County of Kalawao.............               1.25
------------------------------------------------------------------------

    We are interested in and soliciting comments on any possible 
data sources that could be considered in the development of the COLA 
factors beyond the methodology (as summarized previously and 
described in more detail in the FY 2022 IPPS/LTCH PPS final rule, 86 
FR 45559) that relies on service and commodity prices as measured by 
the CPI for the average U.S. city and for the areas of Urban Hawaii 
and Urban Alaska.

D. Proposed Adjustment for LTCH PPS High-Cost Outlier (HCO) Cases

1. HCO Background

    From the beginning of the LTCH PPS, we have included an 
adjustment to account for cases in which there are extraordinarily 
high costs relative to the costs of most discharges. Under this 
policy, additional payments are made based on the degree to which 
the estimated cost of a case (which is calculated by multiplying the 
Medicare allowable covered charge by the hospital's overall hospital 
CCR) exceeds a fixed-loss amount. This policy results in greater 
payment accuracy under the LTCH PPS and the Medicare program, and 
the LTCH sharing the financial risk for the treatment of 
extraordinarily high-cost cases.
    We retained the basic tenets of our HCO policy in FY 2016 when 
we implemented the dual rate LTCH PPS payment structure under 
section 1206 of Public Law 113-67. LTCH discharges that meet the 
criteria for exclusion from the site neutral payment rate (that is, 
LTCH PPS standard Federal payment rate cases) are paid at the LTCH 
PPS standard Federal payment rate, which includes, as applicable, 
HCO payments under Sec.  412.523(e). LTCH discharges that do not 
meet the criteria for exclusion are paid at the site neutral payment 
rate, which includes, as applicable, HCO payments under Sec.  
412.522(c)(2)(i). In the FY 2016 IPPS/LTCH PPS final rule, we 
established separate fixed loss amounts and targets for the two 
different LTCH PPS payment rates. Under this bifurcated policy, the 
historic 8-percent HCO target was retained for LTCH PPS standard 
Federal payment rate cases, with the fixed-loss amount calculated 
using only data from LTCH cases that would have been paid at the 
LTCH PPS standard Federal payment rate if that rate had been in 
effect at the time of those discharges. For site neutral payment 
rate cases, we adopted the operating IPPS HCO target (currently 5.1 
percent) and set the fixed-loss amount for site neutral payment rate 
cases at the value of the IPPS fixed-loss amount. Under the HCO 
policy for both payment rates, an LTCH receives 80 percent of the 
difference between the estimated cost of the case and the applicable 
HCO threshold, which is the sum of the LTCH PPS payment for the case 
and the applicable fixed-loss amount for such case.
    To maintain budget neutrality, consistent with the budget 
neutrality requirement at Sec.  412.523(d)(1) for HCO payments to 
LTCH PPS standard Federal rate payment cases, we also adopted a 
budget neutrality requirement for HCO payments to site neutral 
payment rate cases by applying a budget neutrality factor to the 
LTCH PPS payment for those site neutral payment rate cases. (We 
refer readers to Sec.  412.522(c)(2)(i) of the regulations for 
further details.) We note that, during the 4-year transitional 
period, the site neutral payment rate HCO budget neutrality factor 
did not apply to the LTCH PPS standard Federal payment rate portion 
of the blended payment rate at Sec.  412.522(c)(3) payable to site 
neutral payment rate cases. (For additional details on the HCO 
policy adopted for site neutral payment rate cases under the dual 
rate LTCH PPS payment structure, including the budget neutrality 
adjustment for HCO payments to site neutral payment rate cases, we 
refer readers to the FY 2016 IPPS/LTCH PPS final rule (80 FR 49617 
through 49623).)

2. Determining LTCH CCRs Under the LTCH PPS

a. Background

    As noted previously, CCRs are used to determine payments for HCO 
adjustments for both payment rates under the LTCH PPS and are also 
used to determine payments for site neutral payment rate cases. As 
noted earlier, in determining HCO and the site neutral payment rate 
payments (regardless of whether the case is also an HCO), we 
generally calculate the estimated cost of the case by multiplying 
the LTCH's overall CCR by the Medicare allowable charges for the 
case. An overall CCR is used because the LTCH PPS uses a single 
prospective payment per discharge that covers both inpatient 
operating and capital-related costs. The LTCH's overall CCR is 
generally computed based on the sum of LTCH operating and capital 
costs (as described in section 150.24, Chapter 3, of the Medicare 
Claims Processing Manual (Pub. 100-4)) as compared to total Medicare 
charges (that is, the sum of its operating and capital inpatient 
routine and ancillary charges), with those values determined from 
either the most recently settled cost report or the most recent 
tentatively settled cost report, whichever is from the latest cost 
reporting period. However, in certain instances, we use an 
alternative CCR, such as the statewide average CCR, a CCR that is 
specified by CMS, or one that is requested by the hospital. (We 
refer readers to Sec.  412.525(a)(4)(iv) of the regulations for 
further details regarding CCRs and HCO adjustments for either LTCH 
PPS payment rate and Sec.  412.522(c)(1)(ii) for the site neutral 
payment rate.)
    The LTCH's calculated CCR is then compared to the LTCH total CCR 
ceiling. Under our established policy, an LTCH with a calculated CCR 
in excess of the applicable maximum CCR threshold (that is, the LTCH 
total CCR ceiling, which is calculated as 3 standard deviations from 
the national geometric average CCR) is generally assigned the 
applicable statewide CCR. This policy is premised on a belief that 
calculated CCRs in excess of the LTCH total CCR ceiling are most 
likely due to faulty data reporting or entry, and CCRs based on 
erroneous data should not be used to identify and make payments for 
outlier cases.

b. Proposed LTCH Total CCR Ceiling

    Consistent with our historical practice, we are proposing to use 
the best available data to determine the LTCH total CCR ceiling for

[[Page 18450]]

FY 2026 in this proposed rule. Specifically, in this proposed rule, 
we are proposing to use our established methodology for determining 
the LTCH total CCR ceiling based on IPPS total CCR data from the 
December 2024 update of the Provider Specific File (PSF), which is 
the most recent data available. Accordingly, we are proposing an 
LTCH total CCR ceiling of 1.359 under the LTCH PPS for FY 2026 in 
accordance with Sec.  412.525(a)(4)(iv)(C)(2) for HCO cases under 
either payment rate and Sec.  412.522(c)(1)(ii) for the site neutral 
payment rate. Consistent with our historical practice, we are 
proposing to use the best available data, if applicable, to 
determine the LTCH total CCR ceiling for FY 2026 in the final rule. 
(For additional information on our methodology for determining the 
LTCH total CCR ceiling, we refer readers to the FY 2007 IPPS final 
rule (71 FR 48117 through 48119).)

c. LTCH Statewide Average CCRs

    Our general methodology for determining the statewide average 
CCRs used under the LTCH PPS is similar to our established 
methodology for determining the LTCH total CCR ceiling because it is 
based on ``total'' IPPS CCR data. (For additional information on our 
methodology for determining statewide average CCRs under the LTCH 
PPS, we refer readers to the FY 2007 IPPS final rule (71 FR 48119 
through 48120).) Under the LTCH PPS HCO policy at Sec.  
412.525(a)(4)(iv)(C), the SSO policy at Sec.  412.529(f)(4)(iii), 
and the site neutral payment rate at Sec.  412.522(c)(1)(ii), the 
MAC may use a statewide average CCR, which is established annually 
by CMS, if it is unable to determine an accurate CCR for an LTCH in 
one of the following circumstances: (1) New LTCHs that have not yet 
submitted their first Medicare cost report (a new LTCH is defined as 
an entity that has not accepted assignment of an existing hospital's 
provider agreement in accordance with Sec.  489.18); (2) LTCHs whose 
calculated CCR is in excess of the LTCH total CCR ceiling; and (3) 
other LTCHs for whom data with which to calculate a CCR are not 
available (for example, missing or faulty data). (Other sources of 
data that the MAC may consider in determining an LTCH's CCR include 
data from a different cost reporting period for the LTCH, data from 
the cost reporting period preceding the period in which the hospital 
began to be paid as an LTCH (that is, the period of at least 6 
months that it was paid as a short-term, acute care hospital), or 
data from other comparable LTCHs, such as LTCHs in the same chain or 
in the same region.)
    Consistent with our historical practice of using the best 
available data, in this proposed rule, we are proposing to use our 
established methodology for determining the LTCH PPS statewide 
average CCRs, based on the most recent complete IPPS ``total CCR'' 
data from the December 2024 update of the PSF. We are proposing LTCH 
PPS statewide average total CCRs for urban and rural hospitals that 
would be effective for discharges occurring on or after October 1, 
2025, through September 30, 2026, in Table 8C listed in section VI. 
of this Addendum (and available via the internet on the CMS 
website). Consistent with our historical practice, we also are 
proposing to use the best available data, if applicable, to 
determine the LTCH PPS statewide average total CCRs for FY 2026 in 
the final rule.
    Under the current LTCH PPS labor market areas, all areas in the 
District of Columbia, New Jersey, and Rhode Island are classified as 
urban. Therefore, there are no rural statewide average total CCRs 
listed for those jurisdictions in Table 8C. This policy is 
consistent with the policy that we established when we revised our 
methodology for determining the applicable LTCH statewide average 
CCRs in the FY 2007 IPPS final rule (71 FR 48119 through 48121) and 
is the same as the policy applied under the IPPS. In addition, 
consistent with our existing methodology, in determining the urban 
and rural statewide average total CCRs for Maryland LTCHs paid under 
the LTCH PPS, we are proposing to continue to use, as a proxy, the 
national average total CCR for urban IPPS hospitals and the national 
average total CCR for rural IPPS hospitals, respectively. We are 
proposing to use this proxy because we believe that the CCR data in 
the PSF for Maryland hospitals may not be entirely accurate (as 
discussed in greater detail in the FY 2007 IPPS final rule (71 FR 
48120)).
    Furthermore, although Connecticut, Massachusetts, Nevada, and 
North Dakota have areas that are designated as rural under the 
current LTCH PPS labor market areas, in our calculation of the LTCH 
statewide average CCRs, there were no trimmed CCR data available 
from IPPS hospitals located in these rural areas as of December 
2024. We refer the reader to section II.A.4.i.(2). of this Addendum 
for details on the trims applied to the IPPS CCR data from the 
December 2024 update of the PSF, which are the same data used to 
calculate the LTCH statewide average total CCRs. Therefore, 
consistent with our existing methodology, we are proposing to use 
the national average total CCR for rural IPPS hospitals for rural 
Connecticut, Massachusetts, Nevada, and North Dakota in Table 8C. We 
note that there were no LTCHs located in these rural areas as of 
December 2024.

d. Reconciliation of HCO Payments

    Under the HCO policy at Sec.  412.525(a)(4)(iv)(D), the payments 
for HCO cases are subject to reconciliation (regardless of whether 
payment is based on the LTCH standard Federal payment rate or the 
site neutral payment rate). Specifically, any such payments are 
reconciled at settlement based on the CCR that was calculated based 
on the cost report coinciding with the discharge. For additional 
information on the reconciliation policy, we refer readers to 
sections 150.26 through 150.28 of the Medicare Claims Processing 
Manual (Pub. 100-4), as added by Change Request 7192 (Transmittal 
2111; December 3, 2010) and the RY 2009 LTCH PPS final rule (73 FR 
26820 through 26821), and most recently modified by Change Request 
13566 (Transmittal 12558; March 28, 2024) with an update to the 
outlier reconciliation criteria.

3. Proposed High-Cost Outlier Payments for LTCH PPS Standard Federal 
Payment Rate Cases

a. High-Cost Outlier Payments for LTCH PPS Standard Federal Payment 
Rate Cases

    Under the regulations at Sec.  412.525(a)(2)(ii) and as required 
by section 1886(m)(7) of the Act, the fixed-loss amount for HCO 
payments is set each year so that the estimated aggregate HCO 
payments for LTCH PPS standard Federal payment rate cases are 
99.6875 percent of 8 percent (that is, 7.975 percent) of estimated 
aggregate LTCH PPS payments for LTCH PPS standard Federal payment 
rate cases. (For more details on the requirements for high-cost 
outlier payments in FY 2018 and subsequent years under section 
1886(m)(7) of the Act and additional information regarding high-cost 
outlier payments prior to FY 2018, we refer readers to the FY 2018 
IPPS/LTCH PPS final rule (82 FR 38542 through 38544).)

b. Proposed Fixed-Loss Amount for LTCH PPS Standard Federal Payment 
Rate Cases for FY 2026

    In this section of this Addendum, we discuss our proposed 
methodology for determining the proposed fixed-loss amount for LTCH 
PPS standard Federal payment rate cases for FY 2026. When we 
implemented the LTCH PPS, we established a fixed-loss amount so that 
total estimated outlier payments are projected to equal 8 percent of 
total estimated payments (that is, the target percentage) under the 
LTCH PPS (67 FR 56022 through 56026). When we implemented the dual 
rate LTCH PPS payment structure beginning in FY 2016, we established 
that, in general, the historical LTCH PPS HCO policy would continue 
to apply to LTCH PPS standard Federal payment rate cases. That is, 
the fixed-loss amount for LTCH PPS standard Federal payment rate 
cases would be determined using the LTCH PPS HCO policy adopted when 
the LTCH PPS was first implemented, but we limited the data used 
under that policy to LTCH cases that would have been LTCH PPS 
standard Federal payment rate cases if the statutory changes had 
been in effect at the time of those discharges.
    To determine the applicable fixed-loss amount for LTCH PPS 
standard Federal payment rate cases, we estimate outlier payments 
and total LTCH PPS payments for each LTCH PPS standard Federal 
payment rate case (or for each case that would have been an LTCH PPS 
standard Federal payment rate case if the statutory changes had been 
in effect at the time of the discharge) using claims data from the 
MedPAR files. In accordance with Sec.  412.525(a)(2)(ii), the 
applicable fixed-loss amount for LTCH PPS standard Federal payment 
rate cases results in estimated total outlier payments being 
projected to be equal to 7.975 percent of projected total LTCH PPS 
payments for LTCH PPS standard Federal payment rate cases.

(1) Proposed Charge Inflation Factor for Use in Determining the 
Proposed Fixed-Loss Amount for LTCH PPS Standard Federal Payment Rate 
Cases for FY 2026

    Under the LTCH PPS, the cost of each claim is estimated by 
multiplying the charges

[[Page 18451]]

on the claim by the provider's CCR. Due to the lag time in the 
availability of claims data, when estimating costs for the upcoming 
payment year we typically inflate the charges from the claims data 
by a uniform factor.
    For greater accuracy in calculating the fixed-loss amount, in 
the FY 2022 IPPS/LTCH PPS final rule (86 FR 45562 through 45566), we 
finalized a technical change to our methodology for determining the 
charge inflation factor. Similar to the method used under the IPPS 
hospital payment methodology (as discussed in section II.A.4.i.(2). 
of this Addendum), our methodology determines the LTCH charge 
inflation factor based on the historical growth in charges for LTCH 
PPS standard Federal payment rate cases, calculated using historical 
MedPAR claims data. In this section of this Addendum, we describe 
our charge inflation factor methodology.
    Step 1--Identify LTCH PPS Standard Federal Payment Rate Cases.
    The first step in our methodology is to identify LTCH PPS 
standard Federal payment rate cases from the MedPAR claim files for 
the two most recently available Federal fiscal year time periods. 
For both fiscal years, consistent with our historical methodology 
for determining payment rates for the LTCH PPS, we remove any claims 
submitted by LTCHs that were all-inclusive rate providers as well as 
any Medicare Advantage claims. For both fiscal years, we also remove 
claims from providers that only had claims in one of the fiscal 
years.
    Step 2--Remove Statistical Outliers.
    The next step in our methodology is to remove all claims from 
providers whose growth in average charges was a statistical outlier. 
We remove these statistical outliers prior to calculating the charge 
inflation factor because we believe they may represent aberrations 
in the data that would distort the measure of average charge growth. 
To perform this statistical trim, we first calculate each provider's 
average charge in both fiscal years. Then, we calculate a charge 
growth factor for each provider by dividing its average charge in 
the most recent fiscal year by its average charge in the prior 
fiscal year. Then we remove all claims for providers whose 
calculated charge growth factor was outside 3 standard deviations 
from the mean provider charge growth factor.
    Step 3--Calculate the Charge Inflation Factor.
    The final step in our methodology is to use the remaining claims 
to calculate a national charge inflation factor. We first calculate 
the average charge for those remaining claims in both fiscal years. 
Then we calculate the national charge inflation factor by dividing 
the average charge in the more recent fiscal year by the average 
charge in the prior fiscal year.
    Following the methodology described previously, we computed a 
proposed charge inflation factor based on the most recently 
available data. Specifically, we used the December 2024 update of 
the FY 2024 MedPAR file and the December 2023 update of the FY 2023 
MedPAR as the basis of the LTCH PPS standard Federal payment rate 
cases for the two most recently available Federal fiscal year time 
periods, as described previously in our methodology. Therefore, we 
trimmed the December 2024 update of the FY 2024 MedPAR file and the 
December 2023 update of the FY 2023 MedPAR file as described in 
steps 1 and 2 of our methodology. To compute the 1-year average 
annual rate-of-change in charges per case, we compared the average 
covered charge per case of $302,638 ($12,632,704,879/41,742 cases) 
from FY 2023 to the average covered charge per case of $340,622 
($14,523,112,734/42,637 cases) from FY 2024. This rate-of-change was 
12.5512 percent, which results in a 1-year charge inflation factor 
of 1.125512, and a 2-year charge inflation factor of 1.266777 
(calculated by squaring the 1-year factor). We propose to inflate 
the billed charges obtained from the FY 2024 MedPAR file by this 2-
year charge inflation factor of 1.266777 when determining the 
proposed fixed-loss amount for LTCH PPS standard Federal payment 
rate cases for FY 2026.

(2) CCRs for Use in Determining the Fixed-Loss Amount for LTCH PPS 
Standard Federal Payment Rate Cases for FY 2026

    For greater accuracy in calculating the fixed-loss amount, in 
the FY 2022 IPPS/LTCH PPS final rule (86 FR 45562 through 45566), we 
finalized a technical change to our methodology for determining the 
CCRs used to calculate the fixed-loss amount. Similar to the 
methodology used for IPPS hospitals (as discussed in section 
II.A.4.i.(2). of this Addendum), our methodology adjusts CCRs 
obtained from the best available PSF data by an adjustment factor 
that is calculated based on historical changes in the average case-
weighted CCR for LTCHs. We believe these adjusted CCRs more 
accurately reflect CCR levels in the upcoming payment year because 
they account for historical changes in the relationship between 
costs and charges for LTCHs. In this section of this Addendum, we 
describe our CCR adjustment factor methodology.
    Step 1--Assign Providers Their Historical CCRs.
    The first step in our methodology is to identify providers with 
LTCH PPS standard Federal payment rate cases in the most recent 
MedPAR claims file (excluding all-inclusive rate providers and 
providers with only Medicare Advantage claims). For each of these 
providers, we then identify the CCR from the most recently available 
PSF. For each of these providers we also identify the CCR from the 
PSF that was made available one year prior to the most recently 
available PSF.
    Step 2--Trim Providers With Insufficient CCR Data.
    The next step in our methodology is to remove from the CCR 
adjustment factor calculation any providers for which we cannot 
accurately measure changes to their CCR using the PSF data. We first 
remove any provider whose CCR was missing in the most recent PSF or 
prior year PSF. We next remove any provider assigned the statewide 
average CCR for their State in either the most recent PSF or prior 
year PSF. We lastly remove any provider whose CCR was not updated 
between the most recent PSF and prior year PSF (determined by 
comparing the effective date of the records).
    Step 3--Remove Statistical Outliers.
    The next step in our methodology is to remove providers whose 
change in their CCR is a statistical outlier. To perform this 
statistical trim, for those providers remaining after application of 
Step 2, we calculate a provider-level CCR growth factor by dividing 
the provider's CCR from the most recent PSF by its CCR in the prior 
year's PSF. We then remove any provider whose CCR growth factor was 
outside 3 standard deviations from the mean provider CCR growth 
factor. These statistical outliers are removed prior to calculating 
the CCR adjustment factor because we believe that they may represent 
aberrations in the data that would distort the measure of average 
annual CCR change.
    Step 4--Calculate a CCR Adjustment Factor.
    The final step in our methodology is to calculate, across all 
remaining providers after application of Step 3, an average case-
weighted CCR from both the most recent PSF and prior year PSF. The 
provider case counts that we use to calculate the case-weighted 
average are determined from claims for LTCH standard Federal rate 
cases from the most recent MedPAR claims file. We note when 
determining these case counts, consistent with our historical 
methodology for determining the MS-LTC-DRG relative weights, we do 
not count short stay outlier claims as full cases but instead as a 
fraction of a case based on the ratio of covered days to the 
geometric mean length of stay for the MS-LTC-DRG grouped to the 
case. We calculate the national CCR adjustment factor by dividing 
the case-weighted CCR from the most recent PSF by the case-weighted 
CCR from the prior year PSF.
    Following the methodology described previously, we computed a 
CCR adjustment factor based on the most recently available data. 
Specifically, we used the December 2024 PSF as the most recently 
available PSF and the December 2023 PSF as the PSF that was made 
available one year prior to the most recently available PSF, as 
described in our methodology. In addition, we used claims from the 
December 2024 update of the FY 2024 MedPAR file in our calculation 
of average case-weighted CCRs described in Step 4 of our 
methodology. Specifically, following the methodology described 
previously and, for providers with LTCH PPS standard Federal payment 
rate cases in the December 2024 update of the FY 2024 MedPAR file, 
we identified their CCRs from both the December 2023 PSF and 
December 2024 PSF. After performing the trims outlined in our 
methodology, we used the LTCH PPS standard Federal payment rate case 
counts from the FY 2024 MedPAR file (classified using proposed 
Version 43 of the GROUPER) to calculate case-weighted average CCRs. 
Based on this data, we calculated a December 2023 national average 
case-weighted CCR of 0.238634 and a December 2024 national average 
case-weighted CCR of 0.226588. We then calculated the proposed 
national CCR adjustment factor by dividing the December 2024 
national average case-weighted CCR by the December 2023 national 
average case-weighted CCR. This results in a proposed 1-year 
national CCR adjustment factor of

[[Page 18452]]

0.949522. When calculating the proposed fixed-loss amount for FY 
2026, we assigned the statewide average CCR for the upcoming fiscal 
year to all providers who were assigned the statewide average in the 
December 2024 PSF or whose CCR was missing in the December 2024 PSF. 
For all other providers, we multiplied their CCR from the December 
2024 PSF by the proposed 1-year national CCR adjustment factor of 
0.949522.

(3) Proposed Fixed-Loss Amount for LTCH PPS Standard Federal Payment 
Rate Cases for FY 2026

    In this proposed rule, for FY 2026, using the best available 
data and the steps described previously, we calculated a proposed 
fixed-loss amount that would maintain estimated HCO payments at the 
projected 7.975 percent of total estimated LTCH PPS payments for 
LTCH PPS standard Federal payment rate cases as required by section 
1886(m)(7) of the Act and in accordance with Sec.  412.525(a)(2)(ii) 
(based on the proposed payment rates and policies for these cases 
presented in this proposed rule). Consistent with our historical 
practice, we are proposing to use the best available LTCH claims 
data and CCR data, if applicable, when determining the fixed-loss 
amount for LTCH PPS standard Federal payment rate cases for FY 2026 
in the final rule. Therefore, based on LTCH claims data from the 
December 2024 update of the FY 2024 MedPAR file adjusted for charge 
inflation and adjusted CCRs from the December 2024 update of the 
PSF, under the broad authority of section 123(a)(1) of the BBRA and 
section 307(b)(1) of the BIPA, we are proposing a fixed-loss amount 
for LTCH PPS standard Federal payment rate cases for FY 2026 of 
$91,247 that would result in estimated outlier payments projected to 
be equal to 7.975 percent of estimated FY 2026 payments for such 
cases. As such, we would make an additional HCO payment for the cost 
of an LTCH PPS standard Federal payment rate case that exceeds the 
HCO threshold amount that is equal to 80 percent of the difference 
between the estimated cost of the case and the outlier threshold 
(the sum of the proposed adjusted LTCH PPS standard Federal payment 
rate payment and the proposed fixed-loss amount for LTCH PPS 
standard Federal payment rate cases of $91,247).
    The proposed fixed-loss amount for FY 2026 ($91,247) is 
approximately $14,000 higher than the fixed-loss amount for FY 2025 
($77,048). We seek comment on the proposed fixed-loss amount and 
will consider these comments when determining the fixed-loss amount 
for LTCH PPS standard Federal payment rate cases for FY 2026 in the 
final rule.

4. Proposed High-Cost Outlier Payments for Site Neutral Payment Rate 
Cases

    When we implemented the application of the site neutral payment 
rate in FY 2016, in examining the appropriate fixed-loss amount for 
site neutral payment rate cases issue, we considered how LTCH 
discharges based on historical claims data would have been 
classified under the dual rate LTCH PPS payment structure and the 
CMS' Office of the Actuary projections regarding how LTCHs will 
likely respond to our implementation of policies resulting from the 
statutory payment changes. We again relied on these considerations 
and actuarial projections in FY 2017 and FY 2018 because the 
historical claims data available in each of these years were not all 
subject to the LTCH PPS dual rate payment system. Similarly, for FYs 
2019 through 2025, we continued to rely on these considerations and 
actuarial projections because, due to the transitional blended 
payment policy for site neutral payment rate cases and the 
provisions of section 3711(b)(2) of the CARES Act, the historical 
claims data available in each of these years were not subject to the 
full effect of the site neutral payment rate.
    For FYs 2016 through 2025, our actuaries projected that the 
proportion of cases that would qualify as LTCH PPS standard Federal 
payment rate cases versus site neutral payment rate cases under the 
statutory provisions would remain consistent with what is reflected 
in the historical LTCH PPS claims data. Although our actuaries did 
not project an immediate change in the proportions found in the 
historical data, they did project cost and resource changes to 
account for the lower payment rates. Our actuaries also projected 
that the costs and resource use for cases paid at the site neutral 
payment rate would likely be lower, on average, than the costs and 
resource use for cases paid at the LTCH PPS standard Federal payment 
rate and would likely mirror the costs and resource use for IPPS 
cases assigned to the same MS-DRG, regardless of whether the 
proportion of site neutral payment rate cases in the future remains 
similar to what is found based on the historical data. As discussed 
in the FY 2016 IPPS/LTCH PPS final rule (80 FR 49619), this 
actuarial assumption is based on our expectation that site neutral 
payment rate cases would generally be paid based on an IPPS 
comparable per diem amount under the statutory LTCH PPS payment 
changes that began in FY 2016, which, in the majority of cases, is 
much lower than the payment that would have been paid if these 
statutory changes were not enacted. In light of these projections 
and expectations, we discussed that we believed that the use of a 
single fixed-loss amount and HCO target for all LTCH PPS cases would 
be problematic. In addition, we discussed that we did not believe 
that it would be appropriate for comparable LTCH PPS site neutral 
payment rate cases to receive dramatically different HCO payments 
from those cases that would be paid under the IPPS (80 FR 49617 
through 49619 and 81 FR 57305 through 57307). For those reasons, we 
stated that we believed that the most appropriate fixed-loss amount 
for site neutral payment rate cases for FYs 2016 through 2025 would 
be equal to the IPPS fixed-loss amount for that particular fiscal 
year. Therefore, we established the fixed-loss amount for site 
neutral payment rate cases as the corresponding IPPS fixed-loss 
amounts for FYs 2016 through 2025. In particular, in FY 2025, we 
established the fixed-loss amount for site neutral payment rate 
cases as the FY 2025 IPPS fixed-loss amount of $46,217 (89 FR 
80412). For this proposed rule, we used FY 2024 data in the FY 2026 
LTCH PPS proposed ratesetting. We note that section 3711(b)(2) of 
the CARES Act provided a waiver of the application of the site 
neutral payment rate for LTCH cases. This waiver applied to patients 
admitted during the COVID-19 PHE period and expired on May 11, 2023. 
Although the vast majority of LTCH discharges in FY 2024 were not 
subject to the waiver of the application of the site neutral payment 
rate, we believe LTCHs' admission patterns may still have been 
adapting to the expiration of the waiver of the application of the 
site neutral payment rate. Therefore, at this time, we do not 
believe it would be appropriate to use FY 2024 data to develop a 
fixed-loss amount for site neutral payment rate cases for FY 2026. 
As discussed earlier in this section, we also continue to believe 
LTCH PPS site neutral payment rate cases should not receive 
dramatically different HCO payments from those cases that would be 
paid under the IPPS while we continue to evaluate the actuarial 
assumptions discussed previously and the use of LTCH PPS site 
neutral payment rate data to determine an appropriate outlier 
threshold for such cases.
    For these reasons, we continue to believe that the most 
appropriate fixed-loss amount for site neutral payment rate cases 
for FY 2026 is the IPPS fixed-loss amount for FY 2026. Accordingly, 
for FY 2026, we are proposing that the applicable HCO threshold for 
site neutral payment rate cases is the sum of the site neutral 
payment rate for the case and the proposed IPPS fixed-loss amount. 
That is, we are proposing a fixed-loss amount for site neutral 
payment rate cases of $44,305, which is the same proposed FY 2026 
IPPS fixed-loss amount discussed in section II.A.4.i.(2). of this 
Addendum. Accordingly, under this policy, for FY 2026, we would 
calculate an HCO payment for site neutral payment rate cases with 
costs that exceed the HCO threshold amount that is equal to 80 
percent of the difference between the estimated cost of the case and 
the outlier threshold (the sum of the site neutral payment rate 
payment and the proposed fixed-loss amount for site neutral payment 
rate cases of $44,305).
    In establishing an HCO policy for site neutral payment rate 
cases, we established a budget neutrality adjustment under Sec.  
412.522(c)(2)(i). We established this requirement because we 
believed, and continue to believe, that the HCO policy for site 
neutral payment rate cases should be budget neutral, just as the HCO 
policy for LTCH PPS standard Federal payment rate cases is budget 
neutral, meaning that estimated site neutral payment rate HCO 
payments should not result in any change in estimated aggregate LTCH 
PPS payments.
    To ensure that estimated HCO payments payable to site neutral 
payment rate cases in FY 2026 would not result in any increase in 
estimated aggregate FY 2026 LTCH PPS payments, under the budget 
neutrality requirement at Sec.  412.522(c)(2)(i), it is necessary to 
reduce site neutral payment rate payments by 5.1 percent to account 
for the estimated additional HCO payments payable to those cases in 
FY 2026. Consistent with our historical practice, we are proposing 
to continue this policy.

[[Page 18453]]

    As discussed earlier, consistent with the IPPS HCO payment 
threshold, we estimate the proposed fixed-loss threshold would 
result in FY 2026 HCO payments for site neutral payment rate cases 
to equal 5.1 percent of the site neutral payment rate payments that 
are based on the IPPS comparable per diem amount. As such, to ensure 
estimated HCO payments payable for site neutral payment rate cases 
in FY 2026 would not result in any increase in estimated aggregate 
FY 2026 LTCH PPS payments, under the budget neutrality requirement 
at Sec.  412.522(c)(2)(i), it is necessary to reduce the site 
neutral payment rate amount paid under Sec.  412.522(c)(1)(i) by 5.1 
percent to account for the estimated additional HCO payments payable 
for site neutral payment rate cases in FY 2026. To achieve this, for 
FY 2026, we are proposing to apply a budget neutrality factor of 
0.949 (that is, the decimal equivalent of a 5.1 percent reduction, 
determined as 1.0-5.1/100 = 0.949) to the site neutral payment rate 
for those site neutral payment rate cases paid under Sec.  
412.522(c)(1)(i). We note that, consistent with our current policy, 
this proposed HCO budget neutrality adjustment would not be applied 
to the HCO portion of the site neutral payment rate amount (81 FR 
57309).

E. Proposed Update to the IPPS Comparable Amount To Reflect the 
Statutory Changes to the IPPS DSH Payment Adjustment Methodology

    In the FY 2014 IPPS/LTCH PPS final rule (78 FR 50766), we 
established a policy to reflect the changes to the Medicare IPPS DSH 
payment adjustment methodology made by section 3133 of the 
Affordable Care Act in the calculation of the ``IPPS comparable 
amount'' under the SSO policy at Sec.  412.529 and the ``IPPS 
equivalent amount'' under the site neutral payment rate at Sec.  
412.522. Historically, the determination of both the ``IPPS 
comparable amount'' and the ``IPPS equivalent amount'' includes an 
amount for inpatient operating costs ``for the costs of serving a 
disproportionate share of low-income patients.'' Under the statutory 
changes to the Medicare DSH payment adjustment methodology that 
began in FY 2014, in general, eligible IPPS hospitals receive an 
empirically justified Medicare DSH payment equal to 25 percent of 
the amount they otherwise would have received under the statutory 
formula for Medicare DSH payments prior to the amendments made by 
the Affordable Care Act. The remaining amount, equal to an estimate 
of 75 percent of the amount that otherwise would have been paid as 
Medicare DSH payments, reduced to reflect changes in the percentage 
of individuals under the age of 65 who are uninsured, is made 
available to make additional payments to each hospital that 
qualifies for Medicare DSH payments and that has uncompensated care. 
The additional uncompensated care payments are based on the 
hospital's amount of uncompensated care for a given time period 
relative to the total amount of uncompensated care for that same 
time period reported by all hospitals that receive Medicare DSH 
payments.
    To reflect the Medicare DSH payment adjustment methodology 
statutory changes in section 3133 of the Affordable Care Act in the 
calculation of the ``IPPS comparable amount'' and the ``IPPS 
equivalent amount'' under the LTCH PPS, we stated in the FY 2014 
IPPS/LTCH PPS final rule (78 FR 50766) that we will include a 
reduced Medicare DSH payment amount that reflects the projected 
percentage of the payment amount calculated based on the statutory 
Medicare DSH payment formula prior to the amendments made by the 
Affordable Care Act that will be paid to eligible IPPS hospitals as 
empirically justified Medicare DSH payments and uncompensated care 
payments in that year (that is, a percentage of the operating 
Medicare DSH payment amount that has historically been reflected in 
the LTCH PPS payments that are based on IPPS rates). We also stated, 
in the FY 2014 IPPS/LTCH PPS final rule (78 FR 50766), that the 
projected percentage will be updated annually, consistent with the 
annual determination of the amount of uncompensated care payments 
that will be made to eligible IPPS hospitals. We believe that this 
approach results in appropriate payments under the LTCH PPS and is 
consistent with our intention that the ``IPPS comparable amount'' 
and the ``IPPS equivalent amount'' under the LTCH PPS closely 
resemble what an IPPS payment would have been for the same episode 
of care, while recognizing that some features of the IPPS cannot be 
translated directly into the LTCH PPS (79 FR 50766 through 50767).
    For FY 2026, as discussed in greater detail in section IV.E.2.b. 
of the preamble of this proposed rule, based on the most recent data 
available, our estimate of 75 percent of the amount that would 
otherwise have been paid as Medicare DSH payments (under the 
methodology outlined in section 1886(r)(2) of the Act) is adjusted 
to 60.71 percent of that amount to reflect the change in the 
percentage of individuals who are uninsured. The resulting amount is 
then used to determine the amount available to make uncompensated 
care payments to eligible IPPS hospitals in FY 2026. In other words, 
the amount of the Medicare DSH payments that would have been made 
prior to the amendments made by the Affordable Care Act is adjusted 
to 45.53 percent (the product of 75 percent and 60.71 percent) and 
the resulting amount is used to calculate the uncompensated care 
payments to eligible hospitals. As a result, for FY 2026, we project 
that the reduction in the amount of Medicare DSH payments pursuant 
to section 1886(r)(1) of the Act, along with the payments for 
uncompensated care under section 1886(r)(2) of the Act, will result 
in overall Medicare DSH payments of 70.53 percent of the amount of 
Medicare DSH payments that would otherwise have been made in the 
absence of the amendments made by the Affordable Care Act (that is, 
25 percent + 45.53 percent = 70.53 percent).
    Therefore, for FY 2026, we are proposing to establish that the 
calculation of the ``IPPS comparable amount'' under Sec.  412.529 
would include an applicable operating Medicare DSH payment amount 
that is equal to 70.53 percent of the operating Medicare DSH payment 
amount that would have been paid based on the statutory Medicare DSH 
payment formula absent the amendments made by the Affordable Care 
Act. Furthermore, consistent with our historical practice, we are 
proposing that, if more recent data became available, we would use 
that data to determine the applicable operating Medicare DSH payment 
amount used to calculate the ``IPPS comparable amount'' in the final 
rule.

F. Computing the Proposed Adjusted LTCH PPS Federal Prospective 
Payments for FY 2026

    Under the dual rate LTCH PPS payment structure, only LTCH PPS 
cases that meet the statutory criteria to be excluded from the site 
neutral payment rate are paid based on the LTCH PPS standard Federal 
payment rate. Under Sec.  412.525(c), the LTCH PPS standard Federal 
payment rate is adjusted to account for differences in area wages; 
we make this adjustment by multiplying the labor-related share of 
the LTCH PPS standard Federal payment rate for a case by the 
applicable LTCH PPS wage index (the proposed FY 2026 values are 
shown in Tables 12A through 12B listed in section VI. of this 
Addendum and are available via the internet on the CMS website). The 
LTCH PPS standard Federal payment rate is also adjusted to account 
for the higher costs of LTCHs located in Alaska and Hawaii by the 
applicable COLA factors (the proposed FY 2026 factors are shown in 
the chart in section V.C. of this Addendum) in accordance with Sec.  
412.525(b). In this proposed rule, we are proposing to establish an 
LTCH PPS standard Federal payment rate for FY 2026 of $50,728.77, as 
discussed in section V.A. of this Addendum. We illustrate the 
methodology to adjust the proposed LTCH PPS standard Federal payment 
rate for FY 2026, applying our proposed LTCH PPS amounts for the 
standard Federal payment rate, MS-LTC-DRG relative weights, and wage 
index in the following example:
    Example:
    During FY 2026, a Medicare discharge that meets the criteria to 
be excluded from the site neutral payment rate, that is, an LTCH PPS 
standard Federal payment rate case, is from an LTCH that is located 
in CBSA 16984, which has a proposed FY 2026 LTCH PPS wage index 
value of 1.0267 (as shown in Table 12A listed in section VI. of this 
Addendum). The Medicare patient case is classified into proposed MS-
LTC-DRG 189 (Pulmonary Edema & Respiratory Failure), which has a 
proposed relative weight for FY 2026 of 0.9485 (as shown in Table 11 
listed in section VI. of this Addendum). The LTCH submitted quality 
reporting data for FY 2026 in accordance with the LTCH QRP under 
section 1886(m)(5) of the Act.
    To calculate the LTCH's total adjusted proposed Federal 
prospective payment for this Medicare patient case in FY 2026, we 
computed the wage-adjusted Federal prospective payment amount by 
multiplying the unadjusted proposed FY 2026 LTCH PPS standard 
Federal payment rate ($50,728.77) by the proposed labor-related 
share (73.1 percent) and the proposed wage index value (1.0267). 
This wage-adjusted amount was then added to the proposed nonlabor-
related portion of the unadjusted proposed LTCH PPS standard Federal 
payment rate (26.9 percent; adjusted for cost of living, if

[[Page 18454]]

applicable) to determine the adjusted proposed LTCH PPS standard 
Federal payment rate, which is then multiplied by the proposed MS-
LTC-DRG relative weight (0.9485) to calculate the total adjusted 
proposed LTCH PPS standard Federal prospective payment for FY 2026 
($49,055.36). The table illustrates the components of the 
calculations in this example.

------------------------------------------------------------------------
 
------------------------------------------------------------------------
Unadjusted Proposed LTCH PPS Standard Federal                 $50,728.77
 Prospective Payment Rate............................
Proposed Labor-Related Share.........................            x 0.731
Proposed Labor-Related Portion of the LTCH PPS              = $37,082.73
 Standard Federal Payment Rate.......................
Proposed Wage Index (CBSA 16984).....................           x 1.0267
Proposed Wage-Adjusted Labor Share of the LTCH PPS          = $38,072.84
 Standard Federal Payment Rate.......................
Proposed Nonlabor-Related Portion of the LTCH PPS           + $13,646.04
 Standard Federal Payment Rate ($50,728.77 x 0.269)..
Adjusted Proposed LTCH PPS Standard Federal Payment         = $51,718.88
 Amount..............................................
Proposed MS-LTC-DRG 189 Relative Weight..............           x 0.9485
Total Adjusted Proposed LTCH PPS Standard Federal           = $49,055.36
 Prospective Payment.................................
------------------------------------------------------------------------

VI. Tables Referenced in This Proposed Rule Generally Available Through 
the Internet on the CMS Website

    This section lists the tables referred to throughout the 
preamble of this proposed rule and in the Addendum. In the past, a 
majority of these tables were published in the Federal Register as 
part of the annual proposed and final rules. However, similar to FYs 
2012 through 2025, for the FY 2026 rulemaking cycle, the IPPS and 
LTCH PPS tables will not be published in the Federal Register in the 
annual IPPS/LTCH PPS proposed and final rules and will be on the CMS 
website. Specifically, all IPPS tables listed in the proposed rule, 
with the exception of IPPS Tables 1A, 1B, 1C, and 1D, and LTCH PPS 
Table 1E, will generally be available on the CMS website. IPPS 
Tables 1A, 1B, 1C, and 1D, and LTCH PPS Table 1E are displayed at 
the end of this section and will continue to be published in the 
Federal Register as part of the annual proposed and final rules.
    Tables 7A and 7B historically contained the Medicare prospective 
payment system selected percentile lengths of stay for the MS-DRGs 
for the prior year and upcoming fiscal year. We note, in the FY 2023 
IPPS/LTCH PPS final rule (87 FR 49452), we finalized beginning with 
FY 2023, to provide the percentile length of stay information 
previously included in Tables 7A and 7B in the supplemental AOR/BOR 
data file. The AOR/BOR files can be found on the FY 2026 IPPS 
proposed rule home page on the CMS website at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html.
    As discussed in section II.E.6. of the preamble to this proposed 
rule, for certain FY 2026 new technology add-on payment 
applications, we are making available separate tables listing the 
ICD-10-CM codes and/or ICD-10-PCS codes that we believe would be 
used to identify cases relevant to the Breakthrough Device-
designated indications, or would be appropriate to exclude for cases 
related to FDA market authorized indications that are not covered by 
the Breakthrough Device designation indications, for purposes of the 
new technology add-on payment, if approved, in Table 10 associated 
with this proposed rule.
    After hospitals have been given an opportunity to review and 
correct their calculations for FY 2026, we will post Table 15 (which 
will be available via the CMS website) to display the final FY 2026 
readmissions payment adjustment factors that will be applicable to 
discharges occurring on or after October 1, 2025. We expect Table 15 
will be posted on the CMS website in the Fall 2025.
    Readers who experience any problems accessing any of the tables 
that are posted on the CMS websites identified in this proposed rule 
should contact Michael Treitel at (410) 786-4552.
    The following IPPS tables for this proposed rule are generally 
available on the CMS website at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html. Click 
on the link on the left side of the screen titled ``FY 2026 IPPS 
Proposed Rule Home Page'' or ``Acute Inpatient-Files-for Download.''

Table 2.--Proposed Case-Mix Index and Wage Index Table by CCN--FY 
2026 Proposed Rule
Table 3.--Proposed Wage Index Table by CBSA--FY 2026 Proposed Rule
Table 4A.--Proposed List of Counties Eligible for the Out-Migration 
Adjustment under Section 1886(d)(13) of the Act--FY 2026 Proposed 
Rule
Table 4B.--Proposed Counties Redesignated under Section 
1886(d)(8)(B) of the Act (LUGAR Counties)--FY 2026 Proposed Rule
Table 5.--Proposed List of Medicare Severity Diagnosis-Related 
Groups (MS-DRGs), Relative Weighting Factors, and Geometric and 
Arithmetic Mean Length of Stay--FY 2026 Proposed Rule
Table 6A.--New Diagnosis Codes--FY 2026
Table 6B.--New Procedure Codes--FY 2026
Table 6C.--Invalid Diagnosis Codes--FY 2026
Table 6D.--Invalid Procedure Codes--FY 2026
Table 6E.--Revised Diagnosis Code Titles--FY 2026
Table 6F.--Revised Procedure Code Titles--FY 2026
Table 6G.1.--Proposed Secondary Diagnosis Order Additions to the CC 
Exclusions List--FY 2026
Table 6G.2.--Proposed Principal Diagnosis Order Additions to the CC 
Exclusions List--FY 2026
Table 6H.1.--Proposed Secondary Diagnosis Order Deletions to the CC 
Exclusions List--FY 2026
Table 6H.2.--Proposed Principal Diagnosis Order Deletions to the CC 
Exclusions List--FY 2026
Table 6I.1.--Proposed Additions to the MCC List--FY 2026
Table 6J.1.--Proposed Additions to the CC List--FY 2026
Table 6J.2.--Proposed Deletions to the CC List--FY 2026
Table 6P.--ICD-10-CM and ICD-10-PCS Codes for Proposed MS-DRG 
Changes--FY 2026 (Table 6P contains multiple tables, 6P.1a. through 
6P.8a that include the ICD-10-CM and ICD-10-PCS code lists relating 
to specific proposed MS-DRG changes or other analyses). These tables 
are referred to throughout section II.C. of the preamble of this 
proposed rule.
Table 8A.--Proposed FY 2026 Statewide Average Operating Cost-to-
Charge Ratios (CCRs) for Acute Care Hospitals (Urban and Rural)
Table 8B.--Proposed FY 2026 Statewide Average Capital Cost-to-Charge 
Ratios (CCRs) for Acute Care Hospitals
Table 10.--Relevant ICD-10 Codes for Certain FY 2026 New Technology 
Add-On Payment Applications
Table 16.--Proposed Proxy Hospital Value-Based Purchasing (VBP) 
Program Adjustment Factors for FY 2026
Table 18.--Proposed FY 2026 Medicare DSH Uncompensated Care Payment 
Factor 3

    The following LTCH PPS tables for this FY 2026 proposed rule are 
available through the internet on the CMS website at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/LongTermCareHospitalPPS/index.html under the list item for 
Regulation Number CMS-1833-P:

Table 8C.--Proposed FY 2026 Statewide Average Total Cost-to-Charge 
Ratios (CCRs) for LTCHs (Urban and Rural)
Table 11.--Proposed MS-LTC-DRGs, Relative Weights, Geometric Average 
Length of Stay, and Short-Stay Outlier (SSO) Threshold for LTCH PPS 
Discharges Occurring from October 1, 2025, through September 30, 
2026
Table 12A.--Proposed LTCH PPS Wage Index for Urban Areas for 
Discharges Occurring from October 1, 2025, through September 30, 
2026
Table 12B.--Proposed LTCH PPS Wage Index for Rural Areas for 
Discharges Occurring from October 1, 2025, through September 30, 
2026

[[Page 18455]]



 Table 1A--Proposed National Adjusted Operating Standardized Amounts, Labor/Nonlabor (66.0 Percent Labor Share/34.0 Percent Nonlabor Share if Wage Index
                                                                   Is Greater Than 1)
                                                                        [FY 2026]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Hospital submitted quality data and is   Hospital submitted quality data and  Hospital did NOT submit quality data  Hospital did NOT submit quality data
  a meaningful EHR user (update = 2.4   is NOT a meaningful EHR user (update  and is a meaningful EHR user (update    and is NOT a meaningful EHR user
               percent)                            = 0.0 percent)                        = 1.6 percent)                    (update = -0.8 percent)
--------------------------------------------------------------------------------------------------------------------------------------------------------
       Labor             Nonlabor             Labor             Nonlabor            Labor             Nonlabor            Labor             Nonlabor
--------------------------------------------------------------------------------------------------------------------------------------------------------
       $4,511.41           $2,324.06          $4,405.67          $2,269.59          $4,476.16          $2,305.90          $4,370.43          $2,251.43
--------------------------------------------------------------------------------------------------------------------------------------------------------


 Table 1B--Proposed National Adjusted Operating Standardized Amounts, Labor/Nonlabor (62 Percent Labor Share/38 Percent Nonlabor Share if Wage Index Is
                                                                Less Than or Equal to 1)
                                                                        [FY 2026]
--------------------------------------------------------------------------------------------------------------------------------------------------------
Hospital submitted quality data and is   Hospital submitted quality data and  Hospital did NOT submit quality data  Hospital did NOT submit quality data
  a meaningful EHR user (update = 2.4   is NOT a meaningful EHR user (update  and is a meaningful EHR user (update    and is NOT a meaningful EHR user
               percent)                            = 0.0 percent)                        = 1.6 percent)                    (update = -0.8 percent)
--------------------------------------------------------------------------------------------------------------------------------------------------------
       Labor             Nonlabor             Labor             Nonlabor            Labor             Nonlabor            Labor             Nonlabor
--------------------------------------------------------------------------------------------------------------------------------------------------------
       $4,237.99           $2,597.48          $4,138.66          $2,536.60          $4,204.88          $2,577.18          $4,105.55          $2,516.31
--------------------------------------------------------------------------------------------------------------------------------------------------------


  Table 1C--Proposed Adjusted Operating Standardized Amounts for Hospitals in Puerto Rico, Labor/Nonlabor (National: 62 Percent Labor Share/38 Percent
                                              Nonlabor Share Because Wage Index Is Less Than or Equal to 1)
                                                                        [FY 2026]
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                               Rates if wage index greater than 1          Hospital is a meaningful  EHR   Hospital is NOT a meaningful
                                      --------------------------------------------------- user and wage index less  than   EHR user and wage index l ess
                                                                                           or equal to 1  (update = 2.4)   than or equal to 1  (update =
                                                                                         --------------------------------              0.0)
                                                 Labor                   Nonlabor                                        -------------------------------
                                                                                               Labor         Nonlabor          Labor         Nonlabor
--------------------------------------------------------------------------------------------------------------------------------------------------------
National \1\.........................  Not Applicable..........  Not Applicable.........       $4,237.99       $2,597.48       $4,138.66       $2,536.60
--------------------------------------------------------------------------------------------------------------------------------------------------------
\1\ For FY 2026, there are no CBSAs in Puerto Rico with a national wage index greater than 1.


        Table 1D--Proposed Capital Standard Federal Payment Rate
                                [FY 2026]
------------------------------------------------------------------------
                                                            Rate
------------------------------------------------------------------------
National..........................................               $528.95
------------------------------------------------------------------------


        Table 1E--Proposed LTCH PPS Standard Federal Payment Rate
                                [FY 2026]
------------------------------------------------------------------------
                                     Full update (2.6   Reduced update *
                                         percent)        (0.6 percent)
------------------------------------------------------------------------
Standard Federal Rate.............         $50,728.77         $49,739.90
------------------------------------------------------------------------
* For LTCHs that fail to submit quality reporting data for FY 2026 in
  accordance with the LTCH Quality Reporting Program (LTCH QRP), the
  annual update is reduced by 2.0 percentage points as required by
  section 1886(m)(5) of the Act.

Appendix A: Economic Analyses

I. Regulatory Impact Analysis

A. Statement of Need

    This proposed rule is necessary to make payment and policy 
changes under the IPPS for Medicare acute care hospital inpatient 
services for operating and capital-related costs as well as for 
certain hospitals and hospital units excluded from the IPPS. This 
proposed rule also is necessary to make payment and policy changes 
for Medicare hospitals under the LTCH PPS. Also, as we note later in 
this Appendix, the primary objective of the IPPS and the LTCH PPS is 
to create incentives for hospitals to operate efficiently and 
minimize unnecessary costs, while at the same time ensuring that 
payments are sufficient to adequately compensate hospitals for their 
legitimate costs in delivering necessary care to Medicare 
beneficiaries. In addition, we share national goals of preserving 
the Medicare Hospital Insurance Trust Fund.
    We believe that the proposed changes in this proposed rule, such 
as the proposed updates to the IPPS and LTCH PPS rates, and the 
proposals and discussions relating to applications for new 
technology add-on payments, are needed to further each of these 
goals while maintaining the financial viability of the hospital 
industry and ensuring access to high quality health care for 
Medicare beneficiaries.
    We expect that these proposed changes would ensure that the 
outcomes of the prospective payment systems are reasonable and 
provide equitable payments, while avoiding or minimizing unintended 
adverse consequences.

[[Page 18456]]

1. Acute Care Hospital Inpatient Prospective Payment System (IPPS)

a. Proposed Update to the IPPS Payment Rates

    As discussed in section IV. of the preamble of this proposed 
rule, we are proposing to rebase and revise the 2018-based IPPS 
market basket to reflect a 2023 base year. In addition, using the 
cost category weights from the proposed 2023-based IPPS market 
basket, we calculated a labor-related share of 66.0 percent, which 
we are proposing to use for discharges occurring on or after October 
1, 2025. The proposed labor-related share of 66.0 percent is 1.6 
percentage points lower than the current labor-related share of 67.6 
percent. As discussed in section IV.B.3. of the preamble of this 
proposed rule, this downward revision to the labor-related share is 
primarily the result of incorporating the more recent 2023 Medicare 
cost report data for Wages and Salaries, Employee Benefits, and 
Contract Labor costs. This is partially offset by an increase in the 
Professional Fees: Labor-Related cost weight.
    In accordance with section 1886(b)(3)(B) of the Act and as 
described in section VI.B. of the preamble to this proposed rule, we 
are proposing to update the national standardized amount for 
inpatient hospital operating costs by the proposed applicable 
percentage increase of 2.4 percent (that is, a proposed 3.2 percent 
market basket update with a proposed reduction of 0.8 percentage 
point for the productivity adjustment). We are also proposing to 
apply the proposed applicable percentage increase (including the 
market basket update and the proposed productivity adjustment) to 
the hospital-specific rates.
    Subsection (d) hospitals that do not submit quality information 
under rules established by the Secretary and that are meaningful EHR 
users under section 1886(b)(3)(B)(ix) of the Act would receive a 
proposed applicable percentage increase of 1.6 percent which 
reflects a one-quarter percent reduction of the market basket update 
for failure to submit quality data. Hospitals that are not 
meaningful EHR users and do submit quality information under section 
1886(b)(3)(B)(viii) of the Act would receive a proposed applicable 
percentage increase of 0.0 percent which reflects a three-quarter 
percent reduction of the market basket update for not being a 
meaningful EHR user.
    Hospitals that are not meaningful EHR users under section 
1886(b)(3)(B)(ix) of the Act and also do not submit quality data 
under section 1886(b)(3)(B)(viii) of the Act would receive a 
proposed applicable percentage increase of -0.8 percent, which 
reflects a one-quarter percent reduction of the market basket update 
for failure to submit quality data and a three-quarter percent 
reduction of the market basket update for not meeting the 
requirements to be a meaningful EHR user.

b. Proposed Changes for the Add-On Payments for New Services and 
Technologies

    Consistent with sections 1886(d)(5)(K) and (L) of the Act, we 
review applications for new technology add-on payments based on the 
eligibility criteria at 42 CFR 412.87. As set forth in 42 CFR 
412.87(f)(1), we consider whether a technology meets the criteria 
for the new technology add-on payment and announce the results as 
part of the annual updates and changes to the IPPS. New technology 
add-on payments are not budget neutral.

c. Proposed Transition for the Discontinuation of the Low Wage Index 
Hospital Policy

    To help mitigate wage index disparities between high wage and 
low wage hospitals, in the FY 2020 IPPS/LTCH PPS rule (84 FR 42326 
through 42332), we adopted a policy to increase the wage index 
values for certain hospitals with low wage index values (the low 
wage index hospital policy). This policy was adopted in a budget 
neutral manner through an adjustment applied to the standardized 
amounts for all hospitals. We indicated our intention that this 
policy would be effective for at least 4 years, beginning in FY 
2020, to allow employee compensation increases implemented by these 
hospitals sufficient time to be reflected in the wage index 
calculation. We also stated we intended to revisit the issue of the 
duration of this policy in future rulemaking as we gained experience 
under the policy. In the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69301 through 69308), we adopted an extension of the low wage index 
hospital policy and the related budget neutrality adjustment 
effective for at least three more years, beginning in FY 2025, in 
order for sufficient wage data from after the end of the COVID-19 
Public Health Emergency to become available.
    As discussed in section III.F.5. of the preamble of this 
proposed rule, on July 23, 2024, the Court of Appeals for the D.C. 
Circuit held that the Secretary lacked authority under section 
1886(d)(3)(E) of the Act or under the ``adjustments'' language of 
section 1886(d)(5)(I)(i) of the Act to adopt the low wage index 
hospital policy for FY 2020, and that the policy and related budget 
neutrality adjustment must be vacated. After considering the D.C. 
Circuit's decision in Bridgeport Hosp. v. Becerra, in the FY 2025 
IFC (89 FR 80405 through 80421), we recalculated the FY 2025 IPPS 
hospital wage index to remove the low wage index hospital policy for 
FY 2025. We also removed the low wage index budget neutrality factor 
from the FY 2025 standardized amounts. In addition, we established 
an interim transition policy for hospitals significantly impacted by 
the removal of the FY 2025 low wage index hospital policy using our 
authority under section 1886(d)(5)(I) of the Act.
    For FY 2026 and subsequent fiscal years, after considering the 
D.C. Circuit's decision in Bridgeport Hosp. v. Becerra, we are 
proposing to discontinue the low wage index hospital policy and 
would no longer apply a low wage index budget neutrality factor to 
the standardized amounts. As discussed in section III.F.7. of the 
preamble of this proposed rule, we are proposing to use our 
authority under section 1886(d)(5)(I)(i) of the Act to adopt a 
narrow transitional exception to the calculation of FY 2026 IPPS 
payments for low wage index hospitals significantly impacted by the 
discontinuation of the low wage index hospital policy, that would be 
implemented in a budget neutral manner. This proposed transitional 
exception policy would apply to hospitals that benefitted from the 
FY 2024 low wage index hospital policy and would compare the 
hospital's proposed FY 2026 wage index to the hospital's FY 2024 
wage index. If the hospital's proposed FY 2026 wage index is 
decreasing by more than 9.75 percent from the hospital's FY 2024 
wage index, then the proposed transitional payment exception for FY 
2026 for that hospital would be equal to the additional FY 2026 
amount the hospital would be paid under the IPPS if its FY 2026 wage 
index were equal to 90.25 percent of its FY 2024 wage index. We 
proposed to make this policy budget neutral through an adjustment 
applied to the standardized amounts for all hospitals.

d. Additional Payment for Uncompensated Care to Medicare 
Disproportionate Share Hospitals (DSHs) and Supplemental Payment

    In this proposed rule, as required by section 1886(r)(2) of the 
Act, we are updating our estimates of the 3 factors used to 
determine uncompensated care payments for FY 2026. Beginning with FY 
2023, we adopted a multiyear averaging methodology to determine 
Factor 3 of the uncompensated care payment methodology, which would 
help to mitigate against large fluctuations in uncompensated care 
payments from year to year. Under this methodology, for FY 2025 and 
subsequent fiscal years, we would determine Factor 3 for all 
eligible hospitals using a 3-year average of the data on 
uncompensated care costs from Worksheet S-10 for the 3 most recent 
fiscal years for which audited data are available. We propose to use 
a 3-year average of audited data on uncompensated care costs from 
Worksheet S-10 from the FY 2020, FY 2021, and FY 2022 cost reports 
to calculate Factor 3 for FY 2026 for all eligible hospitals.
    Beginning with FY 2023 (87 FR 49047 through 49051), we also 
established a supplemental payment for IHS and Tribal hospitals and 
hospitals located in Puerto Rico. In section V.D. of the preamble of 
this proposed rule, we summarize the ongoing methodology for 
supplemental payments.

e. Rural Community Hospital Demonstration Program

    The Rural Community Hospital Demonstration (RCHD) was authorized 
originally for a 5-year period by section 410A of the Medicare 
Prescription Drug, Improvement, and Modernization Act of 2003 (MMA) 
(Pub. L. 108-173), and it was extended for another 5-year period by 
section 3123 and 10313 of the Affordable Care Act (Pub. L. 111-148). 
Section 15003 of the 21st Century Cures Act (Cures Act) (Pub. L. 
114-255) extended the demonstration for an additional 5-year period, 
and section 128 of the Consolidated Appropriations Act of 2021 (Pub. 
L. 116-159) included an additional 5-year re-authorization. CMS has 
conducted the demonstration since 2004, which allows enhanced, cost-
based payment for Medicare inpatient services for up to 30 small 
rural hospitals.
    The authorizing legislation imposes a strict budget neutrality 
requirement. In this proposed rule, we summarize the status of the 
demonstration program, and the ongoing

[[Page 18457]]

methodologies for implementation and budget neutrality.

2. Frontier Community Health Integration Project (FCHIP) Demonstration

    The Frontier Community Health Integration Project (FCHIP) 
demonstration was authorized under section 123 of the Medicare 
Improvements for Patients and Providers Act of 2008 (Pub. L. 110-
275), as amended by section 3126 of the Affordable Care Act of 2010 
(Pub. L. 114-158), and most recently re-authorized and extended by 
the Consolidated Appropriations Act of 2021 (Pub. L. 116-260). The 
legislation authorized a demonstration project to allow eligible 
entities to develop and test new models for the delivery of health 
care in order to improve access to and better integrate the delivery 
of acute care, extended care and other health care services to 
Medicare beneficiaries in certain rural areas. The FCHIP 
demonstration initial period was conducted in 10 critical access 
hospitals (CAHs) from August 1, 2016, to July 31, 2019, and the 
demonstration ``extension period'' began on January 1, 2022, to run 
through June 30, 2027.
    The authorizing legislation requires the FCHIP demonstration to 
be budget neutral. In this proposed rule, we propose to continue 
with the budget neutrality approach used in the demonstration 
initial period for the demonstration extension period--to offset 
payments across CAHs nationally--should the demonstration incur 
costs to Medicare.

3. Proposed Update to the LTCH PPS Payment Rates

    The proposed update to the LTCH PPS standard Federal payment 
rate for FY 2026 is discussed in section IX.C. of the preamble of 
this proposed rule. For FY 2026, we are proposing to establish an 
annual market basket update to the LTCH PPS standard Federal payment 
rate to 2.6 percent (that is, the 3.4 percent proposed market basket 
increase with a proposed reduction of 0.8 percentage point for the 
productivity adjustment, as required by section 1886(m)(3)(A)(i) of 
the Act). LTCHs that failed to submit quality data, as required by 
1886(m)(5)(A)(i) of the Act would receive a proposed update of 0.6 
percent for FY 2025, which reflects a 2.0 percentage point reduction 
for failure to submit quality data.

4. Hospital Quality Programs

    Section 1886(b)(3)(B)(viii) of the Act requires subsection (d) 
hospitals to report data in accordance with the requirements of the 
Hospital IQR Program for purposes of measuring and making publicly 
available information on health care quality and links the quality 
data submission to the annual applicable percentage increase. 
Sections 1886(b)(3)(B)(ix), 1886(n), and 1814(l) of the Act require 
eligible hospitals and CAHs to demonstrate they are meaningful users 
of certified EHR technology for purposes of electronic exchange of 
health information to improve the quality of health care and link 
the submission of information demonstrating meaningful use to the 
annual applicable percentage increase for eligible hospitals and the 
applicable percent for CAHs. Section 1886(m)(5) of the Act requires 
each LTCH to submit quality measure data in accordance with the 
requirements of the LTCH QRP for purposes of measuring and making 
publicly available information on health care quality, and in order 
to avoid a 2-percentage point reduction. Section 1886(o) of the Act 
requires the Secretary to establish a value-based purchasing program 
under which value-based incentive payments are made in a fiscal year 
to hospitals that meet the performance standards established on an 
announced set of quality and efficiency measures for the fiscal 
year. The purposes of the Hospital VBP Program include measuring the 
quality of hospital inpatient care, linking hospital measure 
performance to payment, and making publicly available information on 
hospital quality of care. Section 1886(p) of the Act requires a 
reduction in payment for subsection (d) hospitals that rank in the 
worst-performing 25 percent with respect to measures of hospital-
acquired conditions under the HAC Reduction Program for the purpose 
of measuring HACs, linking measure performance to payment, and 
making publicly available information on health care quality. 
Section 1886(q) of the Act requires a reduction in payment for 
subsection (d) hospitals for excess readmissions based on measures 
for applicable conditions under the Hospital Readmissions Reduction 
Program for the purpose of measuring readmissions, linking measure 
performance to payment, and making publicly available information on 
health care quality. Section 1866(k) of the Act applies to hospitals 
described in section 1886(d)(1)(B)(v) of the Act (referred to as 
``PPS-exempt cancer hospitals'' or ``PCHs'') and requires PCHs to 
report data in accordance with the requirements of the PCHQR Program 
for purposes of measuring and making publicly available information 
on the quality of care furnished by PCHs. However, there is no 
reduction in payment to a PCH that does not report data.

5. Other Proposed Provisions--Transforming Episode Accountability Model 
(TEAM)

    In section XI.A. of the preamble of this proposed rule, we 
discuss the alternative payment model called the Transforming 
Episode Accountability Model (TEAM), which will be tested under the 
authority at section 1115A of the Act. Section 1115A of the Act 
authorizes the testing of innovative payment and service delivery 
models that preserve or enhance the quality of care furnished to 
Medicare, Medicaid, and CHIP beneficiaries while reducing program 
expenditures. The underlying issue addressed by TEAM is that under 
the traditional fee-for-service (FFS) payment system, Medicare makes 
separate payments to providers and suppliers for items and services 
furnished to a beneficiary over the course of an episode of care. 
Because providers and suppliers are paid for each individual item or 
service delivered, this may lead to care that is fragmented, 
unnecessary or duplicative, while making it challenging to invest in 
quality improvement or care coordination that would maximize patient 
benefit. We anticipate TEAM may reduce costs while maintaining or 
improving quality of care by bundling payment for items and services 
for a given episode and holding TEAM participants accountable for 
spending and quality performance, as well as by providing incentives 
to promote high quality and efficient care. Further, testing TEAM 
would allow us to learn more about the patterns of potentially 
inefficient utilization of health care services, as well as how to 
improve the beneficiary care experience during care transitions and 
incentivize quality improvements for common surgical episodes. This 
information could inform future Medicare payment policy and 
potentially establish the framework for managing clinical episodes 
as a standard practice in Traditional Medicare.
    TEAM was finalized in the FY 2025 IPPS/LTCH PPS final rule (89 
FR 68986) and we indicated that we intended to go through future 
rulemaking to promulgate new policies before the model start date. 
The proposals contained within this proposed rule would address 
policy gaps, make technical or conforming updates, and establish new 
policies to ensure TEAM has sound and well developed technical, 
administrative, and operational policies before the model starts.

B. Overall Impact

    We have examined the impacts of this proposed rule as required 
by Executive Order 12866, ``Regulatory Planning and Review''; 
Executive Order 13132, ``Federalism``; Executive Order 13563, 
``Improving Regulation and Regulatory Review''; Executive Order 
14192, '' Unleashing Prosperity Through Deregulation''; the 
Regulatory Flexibility Act (RFA) (Pub. L. 96-354); section 1102(b) 
of the Social Security Act; section 202 of the Unfunded Mandates 
Reform Act of 1995 (Pub. L. 104-4).
    Executive Orders 12866 and 13563 direct agencies to assess all 
costs and benefits of available regulatory alternatives and, if 
regulation is necessary, to select those regulatory approaches that 
maximize net benefits (including potential economic, environmental, 
public health and safety, and other advantages; distributive 
impacts; and equity). Section 3(f) of Executive Order 12866 defines 
a ``significant regulatory action'' as any regulatory action that is 
likely to result in a rule that may: (1) have an annual effect on 
the economy of $100 million or more or adversely affect in a 
material way the economy, a sector of the economy, productivity, 
competition, jobs, the environment, public health or safety, or 
State, local, or tribal governments or communities; (2) create a 
serious inconsistency or otherwise interfere with an action taken or 
planned by another agency; (3) materially alter the budgetary impact 
of entitlements, grants, user fees, or loan programs or the rights 
and obligations of recipients thereof; or (4) raise novel legal or 
policy issues arising out of legal mandates, or the President's 
priorities.
    A regulatory impact analysis (RIA) must be prepared for a 
regulatory action that is significant under section 3(f)(1) of E.O. 
12866. Based on our estimates, OMB's Office of Information and 
Regulatory Affairs has determined this rulemaking is significant per 
section 3(f)(1). We have prepared a regulatory impact analysis that 
to the best of our ability presents the costs and benefits of the

[[Page 18458]]

rulemaking. OMB has reviewed these regulations, and the Departments 
have provided the following assessment of their impact.
    We estimate that the proposed changes for FY 2026 acute care 
hospital operating and capital payments would redistribute amounts 
in excess of $100 million to acute care hospitals. The proposed 
applicable percentage increase to the IPPS rates required by the 
statute, in conjunction with other proposed payment changes in this 
proposed rule, would result in an estimated $4.0 billion increase in 
FY 2026 payments, primarily driven by the changes in FY 2026 
operating payments, including uncompensated care payments, FY 2026 
capital payments, the expiration of the temporary changes in the 
low-volume hospital program and the expiration of the MDH program. 
These changes are relative to payments made in FY 2025. The impact 
analysis of the capital payments can be found in section I.I. of 
this Appendix. In addition, as described in section I.J. of this 
Appendix, LTCHs are expected to experience an increase in payments 
of approximately $61 million in FY 2026 relative to FY 2025.
    Our operating payment impact estimate includes the proposed 2.4 
percent applicable percentage increase to the standardized amount 
(reflecting the proposed 3.2 percent market basket increase reduced 
by the proposed 0.8 percentage point productivity adjustment). The 
estimates of IPPS operating payments to acute care hospitals 
generally do not reflect any changes in hospital admissions or real 
case-mix intensity, which would also affect overall payment changes.
    The analysis in this Appendix, in conjunction with the remainder 
of this document, demonstrates that this proposed rule is consistent 
with the regulatory philosophy and principles identified in 
Executive Orders 12866 and 13563, the RFA, and section 1102(b) of 
the Act. This proposed rule would affect payments to a substantial 
number of small rural hospitals, as well as other classes of 
hospitals, and the effects on some hospitals may be significant. 
Finally, in accordance with the provisions of Executive Order 12866, 
the Office of Management and Budget has reviewed this proposed rule.

C. Objectives of the IPPS and the LTCH PPS

    The primary objective of the IPPS and the LTCH PPS is to create 
incentives for hospitals to operate efficiently and minimize 
unnecessary costs, while at the same time ensuring that payments are 
sufficient to adequately compensate hospitals for their costs in 
delivering necessary care to Medicare beneficiaries. In addition, we 
share national goals of preserving the Medicare Hospital Insurance 
Trust Fund.
    We believe that the changes in this proposed rule would further 
each of these goals while maintaining the financial viability of the 
hospital industry and ensuring access to high quality health care 
for Medicare beneficiaries. We expect that these proposed changes 
would ensure that the outcomes of the prospective payment systems 
are reasonable and equitable, while avoiding or minimizing 
unintended adverse consequences.
    Because this proposed rule contains a range of policies, we 
refer readers to the section of the proposed rule where each policy 
is discussed. These sections include the rationale for our 
decisions, including the need for the proposed policy.

D. Limitations of Our Analysis

    The following quantitative analysis presents the projected 
effects of our proposed policy changes, as well as statutory changes 
effective for FY 2026, on various hospital groups. We estimate the 
effects of individual proposed policy changes by estimating payments 
per case, while holding all other payment policies constant. We use 
the best data available, but, generally, unless specifically 
indicated, we do not attempt to make adjustments for future changes 
in such variables as admissions, lengths of stay, case mix, changes 
to the Medicare population, or incentives. In addition, we discuss 
limitations of our analysis for specific proposed policies in the 
discussion of those policies as needed.

E. Hospitals Included in and Excluded From the IPPS

    The prospective payment systems for hospital inpatient operating 
and capital related-costs of acute care hospitals encompass most 
general short-term, acute care hospitals that participate in the 
Medicare program. There were 26 Indian Health Service hospitals in 
our database, which we excluded from the analysis due to the special 
characteristics of the prospective payment methodology for these 
hospitals. Among other short term, acute care hospitals, hospitals 
in Maryland are paid in accordance with the Maryland Total Cost of 
Care Model, and hospitals located outside the 50 States, the 
District of Columbia, and Puerto Rico (that is, 6 short-term acute 
care hospitals located in the U.S. Virgin Islands, Guam, the 
Northern Mariana Islands, and American Samoa) receive payment for 
inpatient hospital services they furnish on the basis of reasonable 
costs, subject to a rate-of-increase ceiling.
    As of March 2025, there were 3,038 IPPS acute care hospitals 
included in our analysis. This represents approximately 52 percent 
of all Medicare-participating hospitals. The majority of this impact 
analysis focuses on this set of hospitals. There also are 
approximately 1,375 CAHs. These small, limited-service hospitals are 
paid on the basis of reasonable costs, rather than under the IPPS. 
IPPS-excluded hospitals and units, which are paid under separate 
payment systems, include IPFs, IRFs, LTCHs, RNHCIs, children's 
hospitals, cancer hospitals, extended neoplastic disease care 
hospital, and short-term acute care hospitals located in the Virgin 
Islands, Guam, the Northern Mariana Islands, and American Samoa. 
Changes in the prospective payment systems for IPFs and IRFs are 
made through separate rulemaking. Payment impacts of changes to the 
prospective payment systems for these IPPS-excluded hospitals and 
units are not included in this proposed rule. The impact of the 
proposed update and policy changes to the LTCH PPS for FY 2026 is 
discussed in section I.J. of this Appendix.

F. Quantitative Effects of the Policy Changes Under the IPPS for 
Operating Costs and Medicare Uncompensated Care Payments

1. Basis and Methodology of Estimates

    In this proposed rule, we are announcing proposed policy changes 
and payment rate updates for the IPPS for FY 2026 for operating 
costs of acute care hospitals and for uncompensated care payments. 
The proposed FY 2026 updates to the capital payments to acute care 
hospitals are discussed in section I.I. of this Appendix. A more 
detailed analysis of the proposed updated to uncompensated care 
payments is discussed in section I.G.2 of this Appendix.
    Based on the overall percentage change in payments per case 
estimated using our payment simulation model, we estimate that total 
FY 2026 operating payments and uncompensated care payments, would 
increase by 3.4 percent, compared to FY 2025. The operating payment 
impacts generally do not reflect changes in the number of hospital 
admissions or real case-mix intensity, which would also affect 
overall payment changes.
    We have prepared separate impact analyses of the proposed 
changes on the operating and capital prospective payment systems. 
This section primarily deals with the proposed changes to the 
operating inpatient prospective payment system for acute care 
hospitals. Our payment simulation model relies on the best available 
claims data to enable us to estimate the impacts on payments per 
case of certain proposed changes in this proposed rule. However, 
there are other proposed changes for which we do not have data 
available that would allow us to estimate the payment impacts using 
this model. For those changes, we have attempted to predict the 
payment impacts based upon our experience and other more limited 
data.
    The data used in developing the quantitative analyses of 
proposed changes in operating payments per case presented in this 
section are taken from the FY 2024 MedPAR file and the most current 
Provider-Specific File (PSF) that is used for payment purposes. 
Although the analyses of the proposed changes to the operating PPS 
do not incorporate cost data, data from the best available hospital 
cost reports were used to categorize hospitals. Our analysis has 
several qualifications. First, in this analysis, we do not generally 
adjust for future changes in such variables as admissions, lengths 
of stay, or underlying growth in real case-mix. Second, due to the 
interdependent nature of the IPPS payment components, it is very 
difficult to precisely quantify the impact associated with each 
change. Third, we use various data sources to categorize hospitals 
in the tables. In some cases, particularly the number of beds, there 
is a fair degree of variation in the data from the different 
sources. We have attempted to construct these variables with the 
best available source overall. However, for individual hospitals, 
some miscategorizations are possible.
    Using cases from the FY 2024 MedPAR file, we simulate payments 
under the operating IPPS given various combinations of payment 
parameters. As described previously, Indian Health Service hospitals

[[Page 18459]]

and hospitals in Maryland were excluded from the simulations. The 
impact of proposed payments under the capital IPPS, and the impact 
of proposed payments other than inpatient operating payments and 
uncompensated care payments are not analyzed in this section. 
Estimated payment impacts of the capital IPPS for FY 2026 are 
discussed in section I.I. of this Appendix.
    We discuss the following proposed changes:
     The estimated effects of proposed outlier payments 
returning to their targeted levels in FY 2026 as compared to the 
estimated outlier payments for FY 2025 produced from our payment 
simulation model.
     The effects of the application of the proposed 
applicable percentage increase of 2.4 percent (that is, a proposed 
3.2 percent market basket update with a reduction of 0.8 percentage 
point for the proposed productivity adjustment), and the proposed 
applicable percentage increase (including the proposed market basket 
update and the proposed productivity adjustment) to the hospital-
specific rates.
     The effects of the proposed changes to estimated 
uncompensated care payments in FY 2026 as compared to FY 2025.
     The effects of the expiration of the special payment 
status for MDHs beginning October 1, 2025 under current law.
     The effects of the proposed changes to the relative 
weights and MS-DRG GROUPER.
     The effects of the proposed changes in hospitals' wage 
index values due to the effects of the proposed incorporation of 
updated wage data from hospitals' cost reporting periods, the 
proposed update to the labor and non-labor share percentages, and 
the proposed changes in wage index reclassifications.
     The total estimated change in payments based on the 
proposed FY 2026 policies relative to payments based on FY 2025 
policies.
    To illustrate the impact of the proposed FY 2026 changes, our 
analysis begins with a FY 2025 baseline simulation model using: the 
FY 2025 national adjusted operating standardized amount; the FY 2025 
MS-DRG GROUPER (Version 42); the FY 2025 CBSA designations for 
hospitals based on the OMB definitions from the 2020 Census; the FY 
2025 wage index, including the FY 2025 labor and nonlabor share 
percentages; FY 2025 uncompensated care payments; and FY 2025 
outlier payments which reflects our estimate of 4.8 percent of total 
operating MS-DRG and outlier payments as produced by our payment 
simulation model based on FY 2024 MedPAR data.
    Our comparison illustrates the proposed percent change in 
payments per case from FY 2025 to FY 2026. The update to the 
standardized amount is a significant factor in the percent change in 
payments per case. In accordance with section 1886(b)(3)(B)(i) of 
the Act, each year we update the national standardized amount for 
inpatient hospital operating costs by a factor called the 
``applicable percentage increase.'' For FY 2026, depending on 
whether a hospital submits quality data under the rules established 
in accordance with section 1886(b)(3)(B)(viii) of the Act (hereafter 
referred to as a hospital that submits quality data) and is a 
meaningful EHR user under section 1886(b)(3)(B)(ix) of the Act 
(hereafter referred to as a hospital that is a meaningful EHR user), 
there are four proposed possible applicable percentage increases 
that can be applied to the national standardized amount. We refer 
readers to section VI.B. of the preamble of this proposed rule for a 
complete discussion of the FY 2026 inpatient hospital update, 
including the four proposed possible applicable percentage 
increases. For purposes of the simulations shown later in this 
section, we modeled the proposed payment changes for FY 2026 using a 
reduced update for hospitals that (1) failed to submit quality data 
but are meaningful EHR users; (2) are identified as not meaningful 
EHR users that do submit quality data; and (3) are identified as not 
meaningful EHR users that do not submit quality data. The reduced 
updates used for these hospitals are discussed in section VI.B. of 
the preamble of this proposed rule and these hospitals are 
identified in the impact file posted in conjunction with this 
proposed rule.
    We note, section 1886(b)(3)(B)(iv) of the Act provides that the 
applicable percentage increase applicable to the hospital-specific 
rates for SCHs and MDHs equals the applicable percentage increase 
set forth in section 1886(b)(3)(B)(i) of the Act (that is, the same 
update factor as for all other hospitals subject to the IPPS). 
Because the Act sets the update factor for SCHs and MDHs equal to 
the update factor for all other IPPS hospitals, the update to the 
hospital-specific rates for SCHs and MDHs is subject to the 
amendments to section 1886(b)(3)(B) of the Act for hospitals that 
fail to submit quality data or are not a meaningful EHR users. 
Accordingly, the proposed applicable percentage increases to the 
hospital-specific rates applicable to SCHs (and MDHs, if the program 
is extended by subsequent legislation) for FY 2026 are the same as 
the four proposed applicable percentage increases discussed in 
section VI.B. of the preamble of this proposed rule.

2. Impact Analysis of Proposed Changes on Payments for IPPS Operating 
Costs and Uncompensated Care Payments

    Table I displays the results of our analysis of the proposed 
changes for FY 2026 on payments for IPPS operating costs and 
uncompensated care payments. The table categorizes hospitals by 
various geographic and special payment consideration groups to 
illustrate the varying impacts on different types of hospitals. The 
top row of the table shows the overall impact on the acute care 
hospitals included in the analysis.
    The next two rows of Table I contain hospitals categorized 
according to their geographic location: urban and rural. The next 
two groupings are by bed-size categories, shown separately for urban 
and rural hospitals. The last groupings by geographic location are 
by census divisions, also shown separately for urban and rural 
hospitals.
    The second part of Table I shows hospital groups based on 
hospitals' FY 2026 payment classifications, including any 
reclassifications under sections 1886(d)(8) and 1886(d)(10) of the 
Act. For example, the rows labeled urban and rural show that the 
numbers of hospitals paid based on these categorizations after 
consideration of geographic reclassifications (including 
reclassifications under section 1886(d)(8)(B) of the Act, also known 
as Lugar hospitals, and section 1886(d)(8)(E) of the Act as 
implemented at 42 CFR 412.103).
    The next three groupings examine the impacts of the changes on 
hospitals grouped by whether or not they have GME residency programs 
(teaching hospitals that receive an IME adjustment) or receive 
Medicare DSH payments, or some combination of these two adjustments.
    In the DSH categories, hospitals are grouped according to their 
DSH payment status, and whether they are considered urban or rural 
for DSH payment purposes. The next category groups together 
hospitals considered urban or rural, in terms of whether they 
receive the IME adjustment, the DSH adjustment, both, or neither.
    The next six rows examine the impacts of the changes on rural 
hospitals by special payment groups (SCHs and RRCs) and 
reclassification status from urban to rural in accordance with 
section 1886(d)(8)(E) of the Act.
    The next series of groupings are based on the type of ownership 
and the hospital's Medicare and Medicaid utilization expressed as a 
percent of total inpatient days. These data were taken from the most 
recent available Medicare cost reports.
    The next grouping concerns the geographic reclassification 
status of hospitals. The first subgrouping is based on whether a 
hospital is reclassified or not. The second and third subgroupings 
are based on whether urban and rural hospitals were reclassified by 
the MGCRB for FY 2026 or not, respectively. The fourth subgrouping 
displays hospitals that reclassified from urban to rural in 
accordance with section 1886(d)(8)(E) of the Act as implemented at 
42 CFR 412.103. The fifth subgrouping displays hospitals deemed 
urban in accordance with section 1886(d)(8)(B) of the Act, also 
known as Lugar hospitals.

[[Page 18460]]



              Table I--Impact Analysis of Proposed Changes on Payments for IPPS Operating Costs and Uncompensated Care Payments for FY 2026
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                                                                  Proposed FY
                                                                                                                 2026 weights
                                                        Proposed FY  Proposed FY                 Proposed  FY       and DRG                      All
                                             Number of      2026         2026         MDH            2026        changes with   Proposed FY  proposed FY
                                             hospitals    outlier      hospital    expiration   uncompensated   application of   2026 wage       2026
                                                \1\       payments   rate update                care payments    recalibration     index       changes
                                                                                                                    budget
                                                                                                                  neutrality
                                            ..........      (1) \2\      (2) \3\      (3) \4\          (4) \5\         (5) \6\    (6) 7 8 9     (7) \10\
--------------------------------------------------------------------------------------------------------------------------------------------------------
All Hospitals.............................       3,038          0.2          2.3         -0.1              1.3             0.0         -0.2          3.4
By Geographic Location:
    Urban hospitals.......................       2,369          0.2          2.3         -0.1              1.3             0.0         -0.2          3.5
    Rural hospitals.......................         669          0.1          2.3         -0.6              1.0            -0.5          0.3          2.5
Bed Size (Urban):
    0-99 beds.............................         643          0.1          2.3         -1.5              1.3             0.2          0.1          2.6
    100-199 beds..........................         675          0.1          2.3         -0.3              1.1            -0.3         -0.2          2.8
    200-299 beds..........................         405          0.2          2.3          0.0              1.3            -0.1         -0.3          3.3
    300-499 beds..........................         393          0.2          2.3          0.0              1.2             0.0         -0.3          3.4
    500 or more beds......................         251          0.3          2.2          0.0              1.4             0.2         -0.2          4.0
Bed Size (Rural):
    0-49 beds.............................         320          0.0          2.3         -1.3              1.6            -0.6          0.5          2.3
    50-99 beds............................         182          0.0          2.3         -1.6              1.0            -0.7         -0.2          0.9
    100-149 beds..........................          94          0.0          2.3         -0.1              1.0            -0.7          0.3          2.9
    150-199 beds..........................          42          0.1          2.3          0.0              0.8            -0.4          0.5          3.3
    200 or more beds......................          31          0.1          2.3          0.0              0.6            -0.1          0.7          3.7
Urban by Region:
    New England...........................         104          0.2          2.3         -0.2              0.6            -0.1         -2.0          0.8
    Middle Atlantic.......................         274          0.3          2.3         -0.1              1.0            -0.1         -0.5          2.8
    East North Central....................         366          0.2          2.3         -0.3              0.7             0.0         -0.5          2.4
    West North Central....................         156          0.2          2.3          0.0              0.7             0.2          1.7          5.1
    South Atlantic........................         393          0.2          2.2         -0.1              1.7             0.0         -0.5          3.7
    East South Central....................         142          0.2          2.3          0.0              1.8             0.1          1.0          5.3
    West South Central....................         352          0.2          2.1         -0.1              3.4             0.1          0.5          6.3
    Mountain..............................         180          0.2          2.3          0.0              1.1             0.2          0.0          3.8
    Pacific...............................         351          0.3          2.3          0.0              0.6             0.1         -0.4          2.9
Rural by Region:
    New England...........................          19          0.2          2.4         -1.5              0.3            -0.2          0.7          1.8
    Middle Atlantic.......................          50          0.1          2.4         -0.2              0.5            -0.5          0.0          2.2
    East North Central....................         107          0.0          2.3         -1.5              0.7            -0.5         -0.4          0.6
    West North Central....................          74          0.1          2.4         -0.4              0.3            -0.5          0.9          2.8
    South Atlantic........................         108          0.0          2.2         -0.8              1.8            -0.6          0.3          3.0
    East South Central....................         128          0.0          2.3         -0.4              1.5            -0.6          0.9          3.7
    West South Central....................         118          0.1          2.2         -0.2              2.0            -0.5          0.4          4.0
    Mountain..............................          41          0.0          2.4          0.0              0.4            -0.2          0.5          3.1
    Pacific...............................          24          0.0          2.4          0.0              0.2            -0.8         -0.3          1.6
Puerto Rico:
    Puerto Rico Hospitals.................          51          0.1          1.6          0.0              8.5             0.0         -0.9          9.4
By Payment Classification:
    Urban hospitals.......................       1,609          0.2          2.3          0.0              1.5            -0.1         -0.1          3.8
    Rural areas...........................       1,429          0.2          2.3         -0.2              1.1             0.0         -0.3          3.2
Teaching Status:
    Nonteaching...........................       1,765          0.1          2.3         -0.4              1.2            -0.2         -0.1          3.0
    Fewer than 100 residents..............         980          0.2          2.3         -0.1              1.1             0.0         -0.1          3.3
    100 or more residents.................         293          0.4          2.2          0.0              1.5             0.1         -0.4          3.8
Urban DSH:
    Non-DSH...............................         334          0.1          2.4         -0.1              0.0             0.3         -0.2          2.6
    100 or more beds......................         916          0.2          2.3          0.0              1.6            -0.1         -0.1          3.9
    Less than 100 beds....................         359          0.1          2.2         -0.3              2.2            -0.5          0.2          3.9
Rural DSH:
    Non-DSH...............................          91          0.2          2.4         -1.7              0.0             0.2         -1.2         -0.3
    SCH...................................         231          0.0          2.3          0.0              0.6            -0.6          0.0          2.4
    RRC...................................         858          0.3          2.3         -0.1              1.1             0.1         -0.3          3.4
    100 or more beds......................          45          0.2          2.2         -0.5              3.2             0.0          0.2          5.2
    Less than 100 beds....................         204          0.1          2.2         -4.3              2.2            -0.6          0.7         -0.1
Urban teaching and DSH:
    Both teaching and DSH.................         531          0.2          2.3          0.0              1.7            -0.1          0.0          4.1
    Teaching and no DSH...................          54          0.1          2.4         -0.3              0.0             0.0         -0.3          1.9
    No teaching and DSH...................         744          0.2          2.3          0.0              1.5            -0.2         -0.2          3.5
    No teaching and no DSH................         280          0.1          2.4          0.0              0.0             0.6         -0.1          3.1
Special Hospital Types:
    RRC...................................         132          0.1          2.3         -0.5              1.3            -0.3          0.2          3.1
    RRC that reclassified from urban to            649          0.3          2.3         -0.1              1.2             0.1         -0.4          3.3
     rural in accordance with section
     1886(d)(8)(E) as implemented at 42
     CFR 412.103..........................
    SCH...................................         225          0.0          2.3          0.0              0.8            -0.6          0.0          2.5
    SCH that reclassified from urban to             38          0.0          2.4          0.0              0.1            -0.4          0.0          2.1
     rural in accordance with section
     1886(d)(8)(E) as implemented at 42
     CFR 412.103..........................
    SCH and RRC...........................         116          0.1          2.4          0.0              0.4            -0.4          0.3          2.7

[[Page 18461]]

 
    SCH and RRC that reclassified from              50          0.0          2.4          0.0              0.2             0.0          0.4          3.0
     urban to rural in accordance with
     section 1886(d)(8)(E) as implemented
     at 42 CFR 412.103....................
Type of Ownership:
    Voluntary.............................       1,903          0.2          2.3         -0.2              0.9             0.0         -0.2          3.1
    Proprietary...........................         723          0.1          2.3         -0.1              1.4             0.0         -0.4          3.4
    Government............................         412          0.3          2.1         -0.1              3.0             0.0          0.0          5.5
Medicare Utilization as a Percent of
 Inpatient Days:
    0-25..................................       1,543          0.3          2.2          0.0              1.8             0.0          0.0          4.4
    25-50.................................       1,400          0.2          2.4         -0.3              0.6            -0.1         -0.5          2.3
    50-65.................................          65          0.1          2.4         -0.4              0.2             0.3         -0.8          1.9
    Over 65...............................          14          0.3          2.5         -0.6              0.0             3.1          0.7          6.0
Medicaid Utilization as a Percent of
 Inpatient Days:
    0-25..................................       1,861          0.2          2.3         -0.2              0.9             0.0         -0.2          3.0
    25-50.................................       1,052          0.3          2.3          0.0              1.4             0.0         -0.2          3.7
    50-65.................................          93          0.3          2.0          0.0              5.6            -0.4         -0.5          6.9
    Over 65...............................          31          0.1          1.6          0.0             14.3            -0.4         -0.2         15.5
FY 2026 Reclassifications:
    All Reclassified Hospitals............       1,172          0.2          2.3         -0.2              1.1             0.0         -0.3          3.3
    Non-Reclassified Hospitals............       1,866          0.2          2.3         -0.1              1.5            -0.1         -0.1          3.7
    Urban Hospitals Reclassified..........       1,011          0.3          2.3         -0.1              1.2             0.1         -0.3          3.4
    Urban Non-reclassified Hospitals......       1,371          0.2          2.3          0.0              1.5            -0.1         -0.1          3.7
    Rural Hospitals Reclassified Full Year         280          0.0          2.3         -0.4              0.9            -0.5          0.4          2.8
    Rural Non-reclassified Hospitals Full          376          0.1          2.3         -0.8              1.1            -0.5          0.3          2.4
     Year.................................
    All hospitals that reclassified from           812          0.3          2.3         -0.2              1.2             0.1         -0.3          3.3
     urban to rural in accordance with
     section 1886(d)(8)(E) as implemented
     at 42 CFR 412.103....................
    Other Reclassified Hospitals (Section           52          0.1          2.3         -2.3              1.1            -0.6          0.3          0.7
     1886(d)(8)(B), also known as Lugar
     hospitals)...........................
--------------------------------------------------------------------------------------------------------------------------------------------------------
\1\ Because data necessary to classify some hospitals by category were missing, the total number of hospitals in each category may not equal the
  national total. Discharge data are from FY 2024, and hospital cost report data are from the latest available reporting periods.
\2\ This column displays the effects of estimated outlier payments returning to their targeted levels in FY 2026 as compared to the estimated outlier
  payments for FY 2025.
\3\ This column displays the payment impact of the hospital rate update, including the proposed 2.4 percent update to the national standardized amount
  and the hospital-specific rate (the proposed 3.2 percent IPPS market basket rate-of-increase reduced by the proposed 0.8 percentage point for the
  productivity adjustment).
\4\ This column displays the impact of the expiration of the MDH status on October 1, 2025, a non-budget neutral payment provision.
\5\ This column displays the effects of the proposed changes to estimated uncompensated care payments in FY 2026 as compared to FY 2025. See also the
  table in section I.G.2 of this Appendix.
\6\ This column displays the payment impact of proposed Version 43 GROUPER, the proposed changes to the relative weights and the proposed recalibration
  of the MS-DRG weights based on FY 2024 MedPAR data, and the 10-percent cap where the relative weight for a MS-DRG would decrease by more than ten
  percent in a given fiscal year. This column displays the application of the proposed recalibration budget neutrality factor and the proposed 10-
  percent cap budget neutrality factor (which can be found in section II.A.4 of the Addendum of this proposed rule).
\7\ This column displays the effects of the changes to the proposed FY 2026 wage index. This includes (1) the proposed update to wage index data using
  FY 2022 cost report data, the application of the proposed wage budget neutrality factor and the proposed update to the labor and nonlabor shares. (2)
  The effects of geographic reclassifications by the Medicare Geographic Classification Review Board (MGCRB), showing the payment impact of going from
  FY 2025 reclassifications to the reclassifications scheduled to be in effect for FY 2026. (3) The effects of the application of the proposed rural
  floor. (4) The effects of urban to rural reclassifications under section 1886(d)(8) of the Act on the proposed wage index. (5) The effects of the
  application of ``LUGAR'' status under section 1886(d)(10) of the Act on the proposed wage index. (6) The proposed adjustments to the wage index driven
  by non-budget neutral policies. These include (a) the imputed floor for all-urban states; (b) the policy that requires hospitals located in frontier
  States have a wage index no less than 1.0; and (c) the policy which provides for an increase in a hospital's wage index if a threshold percentage of
  residents of the county where the hospital is located commute to work at hospitals in counties with higher wage indexes. The budget neutrality factors
  for the effects that are budget neutral can be found in section II.A.4 of the Addendum of this proposed rule.
\8\ For the traditional wage index information showing the effect of including or excluding particular wage index polices from the computation of the FY
  2026 wage index instead of the impact of the wage index changes from FY 2025 to FY 2026 shown in Table I, we refer readers to the data file available
  at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html (click on the link on the left side of the screen titled
  ``FY 2026 IPPS Proposed Rule Home Page''.)
\9\ We note that because the low wage index hospital policy was removed for FY 2025, the proposed discontinuation of the policy effective FY 2026 has no
  impact on the estimated change in proposed payments from FY 2025 to FY 2026. However, the proposed budget neutral transition for the discontinuation
  of the low wage index hospital policy will redistribute payments from hospitals that do not benefit from the proposed transition to hospitals that do
  benefit (primarily all the hospitals located in Puerto Rico) due to the associated budget neutrality factor. The budget neutrality factor for the
  proposed transition can be found in section II.A.4 of the Addendum of this proposed rule.
\10\ This column shows the estimated change in proposed payments from FY 2025 to FY 2026.


[[Page 18462]]

a. Effects of the Outlier Adjustment (Column 1)

    This column reflects the effect of estimated outlier payments 
returning to their targeted levels in FY 2026 as compared to the 
estimated outlier payments for FY 2025 produced from our payment 
simulation model. As discussed in section II.A.4.i. of the Addendum 
to this proposed rule, the statute requires that outlier payments 
for any year are projected to be not less than 5 percent nor more 
than 6 percent of total operating DRG payments plus outlier 
payments, and also requires that the average standardized amount be 
reduced by a factor to account for the estimated proportion of total 
DRG payments made to outlier cases. We continue to use a 5.1 percent 
target (or an outlier offset factor of 0.949) in calculating the 
outlier offset to the standardized amount, just as we did for FY 
2025. Therefore, our proposed estimate of payments per discharge for 
FY 2026 from our payment simulation model reflects this 5.1 percent 
outlier payment target. Our payment simulation model shows that 
estimated outlier payments for FY 2025 were less than that target by 
approximately 0.3 percentage point.
    Overall, hospitals would experience a 0.2 percent increase in 
payments primarily due to the estimated 0.3 percent change in 
outlier payments produced by our payment simulation model when 
returning to the 5.1 percent outlier target for FY 2026 in 
combination with interactive effects among the various add-on 
payment factors.

b. Effects of the Proposed Hospital Update (Column 2)

    As discussed in section VI.B. of the preamble of this proposed 
rule, this column includes the proposed hospital update, including 
the proposed 3.2 percent IPPS market basket rate-of-increase reduced 
by 0.8 percentage point for the proposed productivity adjustment. As 
a result, we are proposing to make a 2.4 percent update to the 
national standardized amount. This column also includes the proposed 
update to the hospital-specific rates which includes the proposed 
3.2 percent market basket rate-of-increase reduced by 0.8 percentage 
point for the proposed productivity adjustment. As a result, we are 
proposing to make a 2.4 percent update to the hospital-specific 
rates. This column also includes any applicable adjustments for 
hospitals that fail to comply with the quality data submission 
requirements and/or are not meaningful EHR users.
    Overall, hospitals would experience a 2.3 percent increase in 
payments primarily due to the combined effects of the proposed 
hospital update to the national standardized amount and the proposed 
hospital update to the hospital-specific rates.

c. Effects of the Expiration of MDH Special Payment Status (Column 3)

    Column 3 shows our estimate of the changes in payments due to 
the expiration of MDH status, a nonbudget neutral payment provision. 
Section 2202 of the Full-Year Continuing Appropriations and 
Extensions Act, 2025 further extended the MDH program through FY 
2025. Therefore, under current law, the MDH program will expire for 
discharges on or after October 1, 2025. Hospitals that qualify to be 
MDHs receive the higher of payments made based on the Federal rate 
or the payments made based on the Federal rate amount plus 75 
percent of the difference between payments based on the Federal rate 
and payments based on the hospital-specific rate (a hospital-
specific cost-based rate). Because this provision is not budget 
neutral, the expiration of this payment provision is estimated to 
result in a 0.1 percent decrease in IPPS payments overall. There are 
currently 164 MDHs, of which we estimate 84 would be paid under the 
blended payment of the Federal rate and hospital-specific rate if 
the MDH program were not set to expire. Because those 84 MDHs will 
no longer receive the blended payment and will be paid only under 
the Federal rate for FY 2026, it is estimated that those hospitals 
would experience an overall decrease in payments of approximately 
$154 million (relative to the MDH program payments they received for 
FY 2025 discharges).

d. Effects of the Proposed Changes in Uncompensated Care Payments (UCP) 
(Column 4)

    Column 4 shows the effects of the proposed changes in 
uncompensated care payments made to hospitals in FY 2026. As 
discussed in section IV.E. of the preamble of this proposed rule, 
the total proposed UCP and proposed supplemental payments equal 
approximately $7.3 billion. Overall, hospitals would experience a 
2.9 percent increase in total operating IPPS payments due to the 
proposed change in uncompensated care payments. For a more detailed 
impact analysis of the proposed changes to uncompensated care 
payment, we refer readers to section I.G.2 of appendix A to this 
proposed rule.

e. Effects of the Proposed Changes to the MS-DRG Reclassifications and 
Relative Cost-Based Weights with Recalibration Budget Neutrality 
(Column 5)

    Column 5 shows the effects of the proposed changes to the MS-
DRGs and relative weights with the application of the proposed 
recalibration budget neutrality factor to the standardized amounts. 
Section 1886(d)(4)(C)(i) of the Act requires us annually to make 
appropriate classification changes to reflect changes in treatment 
patterns, technology, and any other factors that may change the 
relative use of hospital resources. Consistent with section 
1886(d)(4)(C)(iii) of the Act, we calculated a proposed 
recalibration budget neutrality factor to account for the changes in 
MS-DRGs and relative weights to ensure that the overall payment 
impact is budget neutral. We also applied the permanent 10-percent 
cap on the reduction in a MS-DRG's relative weight in a given year 
and an associated recalibration cap budget neutrality factor to 
account for the 10-percent cap on relative weight reductions to 
ensure that the overall payment impact is budget neutral.
    As discussed in section II.D. of the preamble of this proposed 
rule, for FY 2026, we calculated the proposed MS-DRG relative 
weights using the FY 2024 MedPAR data grouped to the proposed 
Version 43 (FY 2026) MS-DRGs. The proposed reclassification changes 
to the GROUPER are described in more detail in section II.C. of the 
preamble of this proposed rule.
    The ``All Hospitals'' line in Column 5 indicates that changes 
due to the MS-DRGs and relative weights would result in a 0.0 
percent change in payments with the application of the recalibration 
budget neutrality factor (discussed in section II.A.4.a. of the 
Addendum to this proposed rule) and the recalibration cap budget 
neutrality factor to the standardized amount (discussed in section 
II.A.4.b. of the Addendum to this proposed rule).

f. Effects of the Proposed Wage Index Changes (Column 6)

    Column 6 shows the impact of the proposed changes to hospitals' 
FY 2026 wage index as compared to hospitals' FY 2025 wage index. 
Overall, the FY 2026 wage index changes would lead to a 0.2 percent 
decrease for all hospitals, as shown in Column 6. This change is a 
result of the proposed updates to the wage data reported by 
hospitals, the proposed change to the labor and nonlabor shares, 
changes in the geographic reclassifications of hospitals, and the 
interactions of those changes with statutory wage index floors and 
exceptions. We combine these changes because the complex and 
interactive ways in which hospitals increasingly seek to maximize 
their wage index values in a given year render isolation of these 
effects in a year-over-year context less informative. For example, 
the impact of the proposed updates to the wage data reported by 
hospitals in the absence of the changes in geographic 
reclassification and especially the interaction of both of those 
with statutory wage index floors and exceptions is less meaningful 
than showing the combined effect of those factors. For the 
traditional wage index information showing the effect of including 
or excluding particular wage index polices from the computation of 
the FY 2026 wage index instead of the impact of the wage index 
changes from FY 2025 to FY 2026 shown in Table I, we refer readers 
to the data file available at https://www.cms.gov/Medicare/Medicare-Fee-for-Service-Payment/AcuteInpatientPPS/index.html (click on the 
link on the left side of the screen titled ``FY 2026 IPPS Proposed 
Rule Home Page'').
    Specifically, this column in Table I shows the combined effects 
of the application of the following proposed FY 2026 wage index 
changes relative to FY 2025:

(1) Effects of the Proposed Changes to the Wage Data

    Column 6 reflects the effects of the proposed updated wage data 
and the proposed labor and non-labor shares, with the application of 
the proposed wage index budget neutrality factor for FY 2026 
relative to FY 2025.
    Section 1886(d)(3)(E) of the Act requires that, beginning 
October 1, 1993, we annually update the wage data used to calculate 
the wage index. In accordance with this requirement, the proposed 
wage index for acute care hospitals for FY 2026 is based on data 
submitted for hospital cost reporting periods, beginning on or after 
October 1,

[[Page 18463]]

2021, and before October 1, 2022. Column 6 reflects the proposed 
percentage change in payments when going from a model using the FY 
2025 wage index based on FY 2025 reclassifications and the FY 2025 
labor-related share of 67.6 percent, to a model using the proposed 
FY 2026 wage index based on FY 2026 reclassifications (as described 
in further detail in the next section) and the proposed labor-
related share of 66.0 percent, while holding other payment 
parameters, such as use of the proposed Version 43 MS-DRG GROUPER, 
constant.
    In addition, the column incorporates the application of the 
proposed wage budget neutrality to the national standardized amount. 
As discussed in section II.A.4.c. of the Addendum to this proposed 
rule, for FY 2026 we calculated the proposed wage budget neutrality 
factor to ensure that payments under the proposed updated wage data 
and the proposed labor-related share of 66.0 percent are budget 
neutral, without regard to the lower labor-related share of 62 
percent applied to hospitals with a wage index less than or equal to 
1.0. This proposed budget neutrality factor can be found in the 
summary table of the proposed FY 2026 budget neutrality factors in 
section II.A.4. of the Addendum to this proposed rule.

(2) Effects of MGCRB, Urban to Rural and ``Lugar'' Reclassifications

    Column 6 reflects the impact of MGCRB reclassification decisions 
under section 1886(d)(10) of the Act, urban to rural 
reclassifications under section 1886(d)(8)(E) of the Act, and Lugar 
status redesignations under section 1886(d)(8)(B) of the Act on the 
proposed wage index for FY 2026 relative to FY 2025. The overall 
effect of geographic reclassification is required by section 
1886(d)(8)(D) of the Act to be budget neutral. Therefore, as 
discussed in section II.A.4.d. of the Addendum to this proposed 
rule, we apply a proposed reclassification budget neutrality 
adjustment to ensure that the effects of the reclassifications under 
sections 1886(d)(8)(B) and (C) and 1886(d)(10) of the Act are budget 
neutral. This proposed budget neutrality factor can be found in the 
summary table of the proposed FY 2026 budget neutrality factors in 
section II.A.4. of the Addendum to this proposed rule.
    Table 2 listed in section VI. of the Addendum to this proposed 
rule and available on the CMS website reflects the reclassifications 
for FY 2026 at the time of development of this proposed rule. For 
further information on MGCRB reclassifications, urban to rural 
reclassifications and Lugar status redesignations, we refer readers 
to section III. of the preamble of this proposed rule.

(3) The Effects of the Proposed Rural Floor, Including Proposed Budget 
Neutrality Adjustment

    Column 6 reflects the effects of the application of the proposed 
rural floor and the application of the proposed rural floor budget 
neutrality on the proposed wage index for FY 2026 relative to FY 
2025. As discussed in section III.F.1. of the preamble of this 
proposed rule, section 4410 of Public Law 105-33 established the 
rural floor by requiring that the wage index for a hospital in any 
urban area cannot be less than the wage index applicable to 
hospitals located in rural areas in the same state. We apply a 
uniform budget neutrality adjustment to the wage index as discussed 
in section II.A.4.e. of the Addendum to this proposed rule. All IPPS 
hospitals in our model have their wage indexes reduced by the 
proposed rural floor budget neutrality adjustment. This proposed 
budget neutrality factor can be found in the summary table of the 
proposed FY 2026 budget neutrality factors in section II.A.4. of the 
Addendum to this proposed rule.

(4) Effects of the Application of the Proposed Imputed Floor, Proposed 
Frontier State Wage Index and Proposed Out-Migration Adjustment

    Lastly, this column also reflects the combined effects of the 
application of the following non-budget neutral provisions for FY 
2026 relative to FY 2025: (a) the imputed floor under section 
1886(d)(3)(E)(iv)(I) and (II) of the Act for certain all-urban 
States (as discussed in section III.F.2. of the preamble of this 
proposed rule); (b) the minimum post-reclassified wage index of 1.00 
for all hospitals located in ``frontier States'' as required by 
section 1886(d)(3)(E)(iii) Act (as discussed in section III.F.3. of 
the preamble of this proposed rule); and (c) the effects of the 
proposed out- migration adjustment under section 1886(d)(13) of the 
Act (as discussed in section III.F.4. of the preamble of this 
proposed rule).

g. Effects of All Proposed FY 2026 Changes (Column 7)

    Column 7 shows our estimate of the proposed changes in payments 
per discharge from FY 2025 and FY 2026, resulting from all proposed 
changes for FY 2026 included in Table I. It includes the combined 
effects of the year-over-year change of the factors described in the 
previous columns in the table.
    The proposed average increase in payments under the IPPS for all 
hospitals is approximately 3.4 percent for FY 2026 relative to FY 
2025, which is primarily driven by the proposed changes reflected in 
Column 2 (proposed hospital update) and Column 4 (proposed 
uncompensated care payments). As described in Column 2, the proposed 
annual hospital update for hospitals paid under the national 
standardized amount, combined with the proposed annual hospital 
update for hospitals paid under the hospital-specific rates would 
result in a 2.3 percent increase in payments in FY 2026 relative to 
FY 2025 for all hospitals. As described in Column 4, proposed 
uncompensated care payments would result in a 1.3 percent increase 
in payments in FY 2026 relative to FY 2025 for all hospitals.
    Overall payments to hospitals paid under the IPPS are estimated 
to increase by 3.4 percent for FY 2026 (as compared to FY 2025) due 
to the proposed outlier adjustment, the proposed applicable 
percentage increase, the MDH program expiration, proposed 
uncompensated care payments, and proposed changes to the wage index 
and labor and nonlabor shares. Hospitals in urban areas would 
experience a 3.5 percent increase in payments per discharge in FY 
2026 compared to FY 2025. Hospital payments per discharge in rural 
areas are estimated to increase by 2.5 percent in FY 2026. The 
relatively lower projected increase for rural hospitals is due in 
part to the MDH program expiration (Column 3) and the proposed MS-
DRG and relative weight changes with application budget neutrality 
(Column 5). Hospital categories that generally treat relatively less 
complex cases, such as rural hospitals and smaller urban hospitals, 
would experience a decrease in their payments, while hospitals that 
generally treat relatively more complex cases, such as larger urban 
hospitals, would experience an increase in their payments as a 
result of the proposed changes to the relative weights.

3. Estimated Average Payments per Discharge

    Table II displays the results of our analysis of the proposed 
changes for FY 2026 on estimated average payments per discharge for 
IPPS operating costs and uncompensated care payments. It presents 
the impact for the categories of hospitals shown in Table I. It 
compares the estimated average payments per discharge for FY 2025 
with the estimated average payments per discharge for FY 2026, as 
calculated under our models. It reflects the combined effects of the 
proposed changes presented in Table I, and therefore the estimated 
percentage changes shown in the last column of Table II equal the 
estimated percentage changes in average payments per discharge from 
Column 7 of Table I.

     Table II--Impact Analysis of Proposed Changes on Average Payments per Discharge for Operating Costs and
                                               Uncompensated Care
----------------------------------------------------------------------------------------------------------------
                                                                                        Estimated
                                                   Number of    Estimated average   proposed average    Proposed
                                                   hospitals     FY 2025  payment   FY 2026  payment    FY 2026
                                                                  per  discharge     per  discharge     changes
                                                           (1)                (2)                 (3)        (4)
----------------------------------------------------------------------------------------------------------------
All Hospitals.................................           3,038             17,753              18,363        3.4
By Geographic Location:
    Urban hospitals...........................           2,369             18,187              18,823        3.5

[[Page 18464]]

 
    Rural hospitals...........................             669             12,917              13,242        2.5
Bed Size (Urban):
    0-99 beds.................................             643             12,977              13,308        2.6
    100-199 beds..............................             675             14,306              14,705        2.8
    200-299 beds..............................             405             16,072              16,600        3.3
    300-499 beds..............................             393             17,879              18,487        3.4
    500 or more beds..........................             251             22,854              23,773        4.0
Bed Size (Rural):
    0-49 beds.................................             320             11,003              11,261        2.3
    50-99 beds................................             182             12,337              12,445        0.9
    100-149 beds..............................              94             12,224              12,576        2.9
    150-199 beds..............................              42             14,051              14,516        3.3
    200 or more beds..........................              31             15,704              16,286        3.7
Urban by Region:
    New England...............................             104             19,636              19,789        0.8
    Middle Atlantic...........................             274             21,085              21,675        2.8
    East North Central........................             366             17,224              17,635        2.4
    West North Central........................             156             16,872              17,739        5.1
    South Atlantic............................             393             16,123              16,717        3.7
    East South Central........................             142             14,930              15,720        5.3
    West South Central........................             352             16,821              17,885        6.3
    Mountain..................................             180             17,653              18,323        3.8
    Pacific...................................             351             22,173              22,825        2.9
Rural by Region:
    New England...............................              19             17,831              18,143        1.8
    Middle Atlantic...........................              50             14,462              14,779        2.2
    East North Central........................             107             12,596              12,677        0.6
    West North Central........................              74             12,852              13,217        2.8
    South Atlantic............................             108             12,206              12,569        3.0
    East South Central........................             128             11,257              11,677        3.7
    West South Central........................             118             10,991              11,429        4.0
    Mountain..................................              41             14,755              15,218        3.1
    Pacific...................................              24             17,321              17,590        1.6
Puerto Rico:
    Puerto Rico Hospitals.....................              51             13,794              15,090        9.4
By Payment Classification:
    Urban hospitals...........................           1,609             15,986              16,586        3.8
    Rural areas...............................           1,429             19,124              19,741        3.2
Teaching Status:
    Nonteaching...............................           1,765             13,346              13,743        3.0
    Fewer than 100 residents..................             980             15,884              16,414        3.3
    100 or more residents.....................             293             26,583              27,602        3.8
Urban DSH:
    Non-DSH...................................             334             13,068              13,414        2.6
    100 or more beds..........................             916             16,797              17,451        3.9
    Less than 100 beds........................             359             12,320              12,807        3.9
Rural DSH:
    Non-DSH...................................              91             16,332              16,290       -0.3
    SCH.......................................             231             13,850              14,184        2.4
    RRC.......................................             858             19,834              20,500        3.4
    100 or more beds..........................              45             17,594              18,516        5.2
    Less than 100 beds........................             204             10,660              10,651       -0.1
Urban teaching and DSH:
    Both teaching and DSH.....................             531             18,345              19,097        4.1
    Teaching and no DSH.......................              54             14,438              14,715        1.9
    No teaching and DSH.......................             744             13,810              14,296        3.5
    No teaching and no DSH....................             280             12,293              12,678        3.1
Special Hospital Types:
    RRC.......................................             132             13,389              13,798        3.1
    RRC that reclassified from urban to rural              649             20,533              21,220        3.3
     in accordance with section 1886(d)(8)(E)
     as implemented at 42 CFR 412.103.........
    SCH.......................................             225             13,180              13,515        2.5
    SCH that reclassified from urban to rural               38             15,661              15,992        2.1
     in accordance with section 1886(d)(8)(E)
     as implemented at 42 CFR 412.103.........
    SCH and RRC...............................             116             14,381              14,774        2.7
    SCH and RRC that reclassified from urban                50             17,935              18,465        3.0
     to rural in accordance with section
     1886(d)(8)(E) as implemented at 42 CFR
     412.103..................................
Type of Ownership:
    Voluntary.................................           1,903             17,558              18,095        3.1
    Proprietary...............................             723             15,747              16,281        3.4
    Government................................             412             21,557              22,738        5.5
Medicare Utilization as a Percent of Inpatient
 Days:
    0-25......................................           1,543             19,747              20,613        4.4
    25-50.....................................           1,400             15,837              16,200        2.3

[[Page 18465]]

 
    50-65.....................................              65             15,213              15,495        1.9
    Over 65...................................              14             12,428              13,179        6.0
Medicaid Utilization as a Percent of Inpatient
 Days:
    0-25......................................           1,861             15,631              16,098        3.0
    25-50.....................................           1,052             20,518              21,274        3.7
    50-65.....................................              93             28,086              30,036        6.9
    Over 65...................................              31             29,824              34,440       15.5
FY 2026 Reclassifications:
    All Reclassified Hospitals................           1,172             19,236              19,865        3.3
    Non-Reclassified Hospitals................           1,866             15,782              16,366        3.7
    Urban Hospitals Reclassified..............           1,011             19,610              20,268        3.4
    Urban Non-reclassified Hospitals..........           1,371             15,977              16,572        3.7
    Rural Hospitals Reclassified Full Year....             280             13,084              13,450        2.8
    Rural Non-reclassified Hospitals Full Year             376             12,666              12,969        2.4
    All hospitals that reclassified from urban             812             20,082              20,741        3.3
     to rural in accordance with section
     1886(d)(8)(E) as implemented at 42 CFR
     412.103..................................
    Other Reclassified Hospitals (Section                   52             12,131              12,221        0.7
     1886(d)(8)(B), also known as Lugar
     hospitals)...............................
----------------------------------------------------------------------------------------------------------------

G. Effects of Other Policy Changes

    In addition to those proposed policy changes discussed 
previously that we are able to model using our IPPS payment 
simulation model, we are proposing to make various other changes in 
this proposed rule. As noted in section I.D. of this Appendix, our 
payment simulation model uses the most recent available claims data 
to estimate the impacts on payments per case of certain proposed 
changes in this proposed rule. Generally, we have limited or no 
specific data available with which to estimate the impacts of these 
proposed changes using that payment simulation model. For those 
proposed changes, we have attempted to predict the payment impacts 
based upon our experience and other more limited data. Our estimates 
of the likely impacts associated with these other proposed changes 
are discussed in this section.

1. Effects of the Proposed Changes Relating to New Medical Service and 
Technology Add-On Payments

a. Proposed FY 2026 Status of Technologies Approved for FY 2025 New 
Technology Add-On Payments

    In section II.E.4. of the preamble of this proposed rule, we are 
proposing to continue to make new technology add-on payments for the 
technologies listed in the following table in FY 2026 because these 
technologies would still be considered new for purposes of new 
technology add-on payments. Under Sec.  412.88(a)(2), the new 
technology add-on payment for each case would be limited to the 
lesser of: (1) 65 percent of the costs of the new technology (or 75 
percent of the costs for technologies designated as Qualified 
Infectious Disease Products (QIDPs) or approved under the Limited 
Population Pathway for Antibacterial and Antifungal Drugs (LPAD) 
pathway, or for the gene therapies, CasgevyTM 
(exagamglogene autotemcel) and LyfgeniaTM 
(lovotibeglogene autotemcel), when indicated and used specifically 
for the treatment of SCD, which were approved for new technology 
add-on payments in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69128 
through 69135, and 89 FR 69188 through 69196)); or (2) 65 percent of 
the amount by which the costs of the case exceed the standard MS-DRG 
payment for the case (or 75 percent of the amount for technologies 
designated as QIDPs; for technologies approved under the LPAD 
pathway; or for the gene therapies, CasgevyTM and 
LyfgeniaTM, when indicated and used specifically for the 
treatment of SCD, which were approved for new technology add-on 
payments in the FY 2025 IPPS/LTCH PPS final rule (89 FR 69128 
through 69135, and 89 FR 69188 through 69196)). Because it is 
difficult to predict the actual new technology add-on payment for 
each case, our estimates in this proposed rule are based on the 
applicant's estimate at the time they submitted their original 
application and the increase in new technology add-on payments for 
FY 2026 as if every claim that would qualify for a new technology 
add-on payment would receive the maximum add-on payment.
    In the following table are estimates for the 26 new technology 
add-on payments which we are proposing to continue in FY 2026:

              FY 2026 Estimates for New Technology Add-On Payments Proposed to Continue for FY 2026
----------------------------------------------------------------------------------------------------------------
                                                                             Proposed FY 2026
                      Technology name                          Estimated     NTAP amount (65%   Estimated total
                                                                 cases           or 75%)         FY 2026 impact
----------------------------------------------------------------------------------------------------------------
1. CYTALUX[supreg] (pafolacianine) (lung indication)......             300          $2,762.50        $828,750.00
2. EPKINLYTM (epcoritamab-bysp) and COLUMVITM (glofitamab-             157           6,504.07       1,021,138.99
 gxbm) *..................................................
3. AveirTM AR Leadless Pacemaker..........................             245          10,725.00       2,627,625.00
4. AveirTM Dual-Chamber Leadless Pacemaker................           2,250          15,600.00      35,100,000.00
5. Ceribell Status Epilepticus Monitor....................           2,477             913.90       2,263,730.30
6. DETOUR System..........................................             600          16,250.00       9,750,000.00
7. DefenCathTM (taurolidine/heparin)......................          12,000           3,656.10      43,873,200.00
8. Phagenyx[supreg] System................................             294           3,250.00         955,500.00
9. REZZAYOTM (rezafungin for injection)...................             795           4,387.50       3,488,062.50
10. TOPSTM System.........................................           1,200          11,375.00      13,650,000.00
11. XACDURO[supreg] (sulbactam/durlobactam)...............             654          13,680.00       8,946,720.00
12. Annalise Enterprise CTB Triage--OH....................         271,200             241.39      65,464,968.00

[[Page 18466]]

 
13. ASTar[supreg] System..................................          69,000              97.50       6,727,500.00
14. Edwards EVOQUETM Tricuspid Valve Replacement System...             800          31,850.00      25,480,000.00
15. GORE[supreg] EXCLUDER[supreg] Thoracoabdominal Branch              518          47,238.75      24,469,672.50
 Endoprosthesis (TAMBE Device)............................
16. LimFlowTM System......................................             561          16,250.00       9,116,250.00
17. ParadiseTM Ultrasound Renal Denervation System........             200          14,950.00       2,990,000.00
18. PulseSelectTM Pulsed Field Ablation (PFA) Loop                   3,402           6,337.50      21,560,175.00
 Catheter.................................................
19. Symplicity SpyralTM Multi-Electrode Renal Denervation               55          10,400.00         572,000.00
 Catheter.................................................
20. TriClipTM G4..........................................             150          26,000.00       3,900,000.00
21. VADER[supreg] Pedicle System..........................             200          28,242.50       5,648,500.00
22. ZEVTERATM (ceftobiprole medocaril); ABSSSI and CABP                245           2,812.50         689,062.50
 indications..............................................
23. ZEVTERATM (ceftobiprole medocaril); SAB indication....             571           8,625.00       4,924,875.00
24. CASGEVYTM (exagamglogene autotemcel); Sickle Cell                  117       1,650,000.00     193,050,000.00
 Disease indication.......................................
25. HEPZATOTM KIT (melphalan for injection/hepatic                     149         118,625.00      17,675,125.00
 delivery system).........................................
26. LYFGENIATM (lovotibeglogene autotemcel))..............              40       2,325,000.00      93,000,000.00
                                                           -----------------------------------------------------
    Aggregate Estimated Total FY 2026 Impact..............  ..............  .................     597,772,854.79
----------------------------------------------------------------------------------------------------------------
* These two technologies were determined to be substantially similar to each other and were therefore evaluated
  as one application for new technology add-on payments under the IPPS.

b. Proposed FY 2026 Applications for New Technology Add-On Payments

    In sections II.E.5. and 6. of the preamble to this proposed rule 
are 43 discussions of technologies with respect to add-on payments 
for new medical services and technologies for FY 2026. We note that 
of the 53 applications (34 alternative and 19 traditional) we 
received, 3 applications were not eligible for consideration for new 
technology add-on payment (1 alternative and 2 traditional), and 7 
applicants withdrew their application (4 alternative and 3 
traditional) prior to the issuance of this proposed rule. As 
explained in the preamble to this proposed rule, add-on payments for 
new medical services and technologies under section 1886(d)(5)(K) of 
the Act are not required to be budget neutral. As discussed in 
section II.E.6. of the preamble of this proposed rule, under the 
alternative pathway for new technology add-on payments, new 
technologies that are medical products with a QIDP designation, 
approved through the FDA LPAD pathway, or are designated under the 
Breakthrough Device program will be considered not substantially 
similar to an existing technology for purposes of the new technology 
add-on payment under the IPPS, and will not need to demonstrate that 
the technology represents a substantial clinical improvement. These 
technologies must still be within the 2- to 3-year newness period, 
as discussed in section II.E.1.a.(1). of the preamble this proposed 
rule, and must also still meet the cost criterion.
    As also discussed in section II.E.6. of the preamble of this 
proposed rule, we are proposing to approve 28 new technology add-on 
payments for the alternative pathway applications submitted for FY 
2026 new technology add-on payments.
    Based on preliminary information from the applicants at the time 
of this proposed rule, we estimate that total payments for the 28 
technologies that applied under the alternative pathway, if 
approved, would be approximately $405.5 million for FY 2026. Total 
estimated FY 2026 payments for new technologies that are designated 
as a QIDP are approximately $5.0 million, and the total estimated FY 
2026 payments for new technologies that are part of the Breakthrough 
Device program are approximately $400.5 million. Because cost or 
volume information has not yet been provided for 5 of the 28 
technologies under the alternative pathway, we have not included 
those technologies in the estimate. We did not receive any LPAD 
applications for add-on payments for new technologies for FY 2026. 
We note that the estimated payments may be updated in the final rule 
based on revised or additional information CMS receives prior to the 
final rule.
    We have not yet determined whether any of the technologies 
discussed in section II.E.5. of the preamble of this proposed rule 
will meet the criteria for new technology add-on payments for FY 
2026 under the traditional pathway. Consequently, it is challenging 
to estimate the potential payment impact of these technologies for 
any potential new technology add-on payments for FY 2026. We note 
that, as in past years, if any of the technologies that applied 
under the traditional pathway are found to be eligible for new 
technology add-on payments for FY 2026, we would discuss the 
estimated payment impact for FY 2026 in the FY 2026 IPPS/LTCH PPS 
final rule.

2. Medicare DSH Uncompensated Care Payments and Supplemental Payment 
for Indian Health Service Hospitals and Tribal Hospitals and Hospitals 
Located in Puerto Rico

    As discussed in section V.E. of the preamble of this proposed 
rule, under section 3133 of the Affordable Care Act, hospitals that 
are eligible to receive Medicare DSH payments will receive 25 
percent of the amount they previously would have received under the 
statutory formula for Medicare DSH payments under section 
1886(d)(5)(F) of the Act. The remainder, equal to an estimate of 75 
percent of what formerly would have been paid as Medicare DSH 
payments (Factor 1), reduced to reflect changes in the percentage of 
uninsured individuals (Factor 2), is available to make additional 
payments to each hospital that qualifies for Medicare DSH payments 
and that has reported uncompensated care. Each hospital that is 
eligible for Medicare DSH payments will receive an additional 
payment based on its estimated share of the total amount of 
uncompensated care for all hospitals eligible for Medicare DSH 
payments. The uncompensated care payment methodology has 
redistributive effects based on the proportion of a hospital's 
amount of uncompensated care relative to the aggregate amount of 
uncompensated care of all hospitals eligible for Medicare DSH 
payments (Factor 3). The change to Medicare DSH payments under 
section 3133 of the Affordable Care Act is not budget neutral.
    In this proposed rule, we are proposing to establish the amount 
to be distributed as uncompensated care payments (UCP) to DSH-
eligible hospitals for FY 2026, which is $7,190,037,075.00. This 
figure represents 75 percent of the amount that otherwise would have 
been paid for Medicare DSH payment adjustments adjusted by a Factor 
2 of 60.71 percent. For FY 2025, the amount available to be 
distributed for uncompensated care was $5,705,743,275.00 or 75 
percent of the amount that otherwise would have been paid for 
Medicare DSH payment adjustments adjusted by a Factor 2 of 54.29 
percent. In addition, eligible IHS/Tribal hospitals and hospitals 
located in Puerto Rico are estimated to receive approximately 
$100,623,613.55 million in supplemental payments in FY 2026, as 
determined based on the difference between each hospital's FY 2022 
UCP (increased by 26.01 percent, which is the projected change 
between the FY 2026 total uncompensated care payment amount and the 
total uncompensated care payment amount for FY 2025) and its FY 2026 
UCP as calculated using the methodology for FY

[[Page 18467]]

2026. If this difference is less than or equal to zero, the hospital 
will not receive a supplemental payment. For this proposed rule, the 
total proposed UCP and proposed supplemental payments equal 
approximately $7.291 billion. For FY 2026, we are proposing to use 3 
years of data on uncompensated care costs from Worksheet S-10 of the 
FYs 2020, 2021, and 2022 cost reports to calculate Factor 3 for all 
DSH-eligible hospitals, including IHS/Tribal hospitals and Puerto 
Rico hospitals. For a complete discussion regarding the methodology 
for calculating Factor 3 for FY 2026, we refer readers to section 
V.E. of the preamble of this proposed rule. For a discussion 
regarding the methodology for calculating the supplemental payments, 
we refer readers to section V.D. of the preamble of this proposed 
rule.
    To estimate the impact of the combined effect of the proposed 
changes in Factors 1 and 2, as well as the changes to the data used 
in determining Factor 3, on the calculation of Medicare UCP along 
with changes to supplemental payments for IHS/Tribal hospitals and 
hospitals located in Puerto Rico, we compared total UCP and 
supplemental payments estimated in the FY 2025 IPPS/LTCH PPS final 
rule correction notice (89 FR 68986) to the combined total of the 
proposed UCP and the proposed supplemental payments estimated in 
this FY 2026 IPPS/LTCH PPS proposed rule. For FY 2025, we calculated 
75 percent of the estimated amount that would be paid as Medicare 
DSH payments absent section 3133 of the Affordable Care Act, 
adjusted by a Factor 2 of 54.29 percent and multiplied by a Factor 3 
calculated using the methodology described in the FY 2025 IPPS/LTCH 
PPS final rule. For FY 2026, we calculated 75 percent of the 
estimated amount that would be paid as Medicare DSH payments during 
FY 2025 absent section 3133 of the Affordable Care Act, adjusted by 
a proposed Factor 2 of 60.71 percent and multiplied by a Factor 3 
calculated using the methodology described previously. For this 
proposed rule, the supplemental payments for IHS/Tribal hospitals 
and Puerto Rico hospitals are calculated as the difference between 
the hospital's adjusted base year amount (as determined based on the 
hospital's FY 2022 uncompensated care payment) and the hospital's FY 
2026 uncompensated care payment.
    Our analysis included 2,385 hospitals that are projected to be 
DSH-eligible in FY 2026. Our analysis did not include hospitals that 
had terminated their participation in the Medicare program as of 
January 22, 2025, Maryland hospitals, new hospitals, and SCHs that 
are expected to be paid based on their hospital-specific rates. The 
16 hospitals that are anticipated to be participating in the Rural 
Community Hospital Demonstration Program were also excluded from 
this analysis, as participating hospitals are not eligible to 
receive empirically justified Medicare DSH payments and 
uncompensated care payments. In addition, the data from merged or 
acquired hospitals were combined under the surviving hospital's CMS 
certification number (CCN), and the non-surviving CCN was excluded 
from the analysis. The estimated impact of the proposed changes in 
Factors 1, 2, and 3 on UCP and supplemental payments for eligible 
IHS/Tribal hospitals and Puerto Rico hospitals across all hospitals 
projected to be DSH-eligible in FY 2026, by hospital characteristic, 
is presented in the following table:

                       Modeled Uncompensated Care Payments * and Supplemental Payments for Estimated FY 2026 DSHS by Hospital Type
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                                   FY 2025 final
                                                                                   rule estimated    FY 2026 proposed
                                                                                   uncompensated      uncompensated          Dollar
                                                                    Number of    care payments and  care payments and    difference: FY   Percent change
                                                                 estimated DSHs     supplemental       supplemental     2025-FY 2026 ($         ***
                                                                                   payments ($ in   payments ** ($ in     in millions)
                                                                                     millions)          millions)
                                                                            (1)                (2)                (3)                (4)             (5)
--------------------------------------------------------------------------------------------------------------------------------------------------------
Total..........................................................           2,385             $5,786             $7,291             $1,505           26.0%
By Geographic Location:
    Urban Hospitals............................................           1,911              5,456              6,882              1,426            26.1
    Other Urban Areas..........................................             993              2,433              3,042                609            25.0
    Large Urban Areas..........................................             918              3,023              3,840                817            27.0
    Rural Hospitals............................................             474                328                409                 81            24.7
Bed Size (Urban):
    0 to 99 Beds...............................................             373                242                292                 50            20.6
    100 to 249 Beds............................................             778              1,200              1,494                294            24.5
    250+ Beds..................................................             760              4,014              5,096              1,082            26.9
Bed Size (Rural):
    0 to 99 Beds...............................................             360                177                223                 46            26.0
    100 to 249 Beds............................................             105                120                151                 31            25.5
    250+ Beds..................................................               9                 30                 35                  4            14.1
Urban by Region:
    New England................................................              85                145                189                 43            29.9
    Middle Atlantic............................................             220                618                804                187            30.2
    South Atlantic.............................................             304                576                685                109            18.9
    East North Central.........................................             106                289                340                 52            17.9
    East South Central.........................................             320              1,406              1,772                366            26.1
    West North Central.........................................             129                348                438                 90            25.8
    West South Central.........................................             248              1,248              1,616                368            29.5
    Mountain...................................................             147                245                323                 78            31.8
    Pacific....................................................             308                508                622                114            22.4
    Puerto Rico................................................              44                 72                 91                 19            26.0
Rural by Region:
    New England................................................               9                  9                 11                  2            19.8
    Middle Atlantic............................................              36                 17                 23                  6            34.1
    South Atlantic.............................................              70                 42                 50                  8            18.2
    East North Central.........................................              32                 18                 24                  6            29.8
    East South Central.........................................              83                 95                115                 21            22.0
    West North Central.........................................             108                 61                 79                 18            29.3
    West South Central.........................................             105                 70                 86                 16            23.4
    Mountain...................................................              23                 10                 14                  4            38.3

[[Page 18468]]

 
    Pacific....................................................               8                  6                  7                  1            25.8
By Payment Classification:
    Urban Hospitals............................................           1,248              2,625              3,294                668            25.5
    Large Urban Areas..........................................             661              1,577              1,981                404            25.6
    Other Urban Areas..........................................             587              1,048              1,313                265            25.3
    Rural Hospitals............................................           1,137              3,158              3,997                838            26.5
Teaching Status:
    Nonteaching................................................           1,266              1,420              1,757                337            23.7
    Fewer than 100 residents...................................             829              2,070              2,569                499            24.0
    100 or more residents......................................             290              2,293              2,965                671            29.3
Type of Ownership:
    Voluntary..................................................           1,524              3,345              4,154                809            24.2
    Proprietary................................................             497                811              1,015                203            25.0
    Government.................................................             364              1,628              2,122                495            30.5
Medicare Utilization Percent ****:
    0 to 25....................................................           1,384              4,456              5,640              1,184            26.6
    25 to 50...................................................             975              1,319              1,640                321            24.3
    50 to 65...................................................              24                  9                 11                  2            23.7
    Greater than 65............................................               2                  0                  0                  0          -100.0
Medicaid Utilization Percent ****:
    0 to 25....................................................           1,282              2,237              2,783                546            24.4
    25 to 50...................................................             978              2,861              3,596                735            25.7
    50 to 65...................................................              95                553                723                170            30.8
    Greater than 65............................................              30                134                189                 55            41.2
--------------------------------------------------------------------------------------------------------------------------------------------------------
Source: Dobson [verbar] DaVanzo analysis of 2020, 2021 and 2022 Hospital Cost Reports.
* Dollar UCP calculated by [0.75 * estimated section 1886(d)(5)(F) payments * Factor 2 * Factor 3]. When summed across all hospitals projected to
  receive DSH payments, UCP and supplemental payments are estimated to be $5.786 million in FY 2025, and UCP and supplemental payments are estimated to
  be $ 7,291 million in FY 2026.
** For IHS/Tribal hospitals and Puerto Rico hospitals, this impact table reflects the supplemental payments.
*** Percentage change is determined as the difference between Medicare UCP and supplemental payments modeled for this FY 2026 IPPS/LTCH PPS proposed
  rule (column 3) and Medicare UCP and supplemental payments modeled for the FY 2025 IPPS/LTCH PPS final rule correction notice (column 2) divided by
  Medicare UCP and supplemental payments modeled for the FY 2025 IPPS/LTCH PPS final rule correction notice (column 2) times 100 percent.
**** Hospitals with missing or unknown Medicare utilization or Medicaid utilization are not shown in the table.

    The changes in projected FY 2026 UCP and supplemental payments 
compared to the total of UCP and supplemental payments in FY 2025 
are driven by increases in Factor 1 and Factor 2. The proposed 
Factor 1 has increased from the FY 2025 final rule's Factor 1 of 
$10.509 billion to this proposed rule's Factor 1 of $11.843 billion. 
The proposed Factor 2 has increased from FY 2025 final rule's Factor 
2 of 54.29 percent to this proposed rule's Factor 2 of 60.71 
percent. In addition, we note that there is a decrease in the number 
of projected DSH-eligible hospitals to 2,385 at the time of the 
development of this proposed rule compared to the 2,398 DSHs in the 
FY 2025 IPPS/LTCH PPS final rule (88 FR 58640). Based on the 
changes, the impact analysis found that, across all projected DSH-
eligible hospitals, proposed FY 2026 UCP and supplemental payments 
are estimated at approximately $7.291 billion, or an increase of 
approximately 26.01 percent from FY 2025 UCP and supplemental 
payments (approximately $5.786 billion). While the changes would 
result in a net increase in the total amount available to be 
distributed in UCP and supplemental payments, the projected payment 
increases vary by hospital type. This redistribution of proposed 
payments is caused by changes in proposed Factor 3 and the amount of 
the proposed supplemental payment for DSH-eligible IHS/Tribal 
hospitals and Puerto Rico hospitals. As seen in the previous table, 
a percent change of less than 26.01 percent indicates that hospitals 
within the specified category are projected to experience a smaller 
increase in proposed payments, on average, compared to the universe 
of projected FY 2026 DSH-eligible hospitals. Conversely, a 
percentage change greater than 26.01 percent indicates that a 
hospital type is projected to have a larger increase compared to the 
overall average. The variation in the distribution of overall 
proposed payments by hospital characteristic is largely dependent on 
a given hospital's uncompensated care costs as reported on the 
Worksheet S-10 and used in the Factor 3 computation and whether the 
hospital is eligible to receive the proposed supplemental payment.
    Urban hospitals, in general, are projected to experience a 
slightly larger increase in proposed UCP compared to the increase 
their rural counterparts are projected to experience. Overall, urban 
hospitals are projected to receive a 26.1 percent increase in 
proposed payments, while rural hospitals are projected to receive a 
24.73 percent increase in proposed payments, which is slightly less 
than the overall hospital average.
    By bed size, rural hospitals with 0 to 99 beds are projected to 
receive a larger than average increase of approximately 26.0 
percent, while rural hospitals with 100 to 249 beds and rural 
hospitals with 250+ beds are projected to receive smaller than 
average increases of 25.5 percent and 14.1 percent, respectively. 
Among urban hospitals, the largest urban hospitals, those with 250+ 
beds, are projected to receive an increase in payments (27.0 
percent) that is greater than the overall hospital average. In 
contrast, smaller urban hospitals with 0-99 beds and 100-249 beds 
are projected to receive smaller than average increases in proposed 
payments of 20.6 and 24.5 percent, respectively.
    By region, rural hospitals are projected to receive a varied 
range of payment changes. Rural hospitals in the New England, South

[[Page 18469]]

Atlantic, East South Central, West South Central, and Pacific 
regions are projected to receive smaller than average increases in 
proposed payments. Rural hospitals in all other regions are 
projected to receive larger than average increases in proposed 
payments. Urban hospitals in the South Atlantic, East North Central, 
West North Central, and Pacific regions are projected to receive 
smaller than average increases in proposed payments, while urban 
hospitals in all other regions are projected to receive larger than 
average increases in proposed payments.
    By payment classification, hospitals in urban payment areas 
overall are expected to receive a smaller than average increase in 
proposed UCP and proposed supplemental payments of 25.5 percent. 
Hospitals in large urban payment areas and other urban payment areas 
are projected to receive a smaller than average increase in proposed 
payments of 25.6 percent and 25.3 percent, respectively. In 
contrast, hospitals in rural payment areas are projected to receive 
a larger than average increase in proposed payments of 26.5 percent.
    Nonteaching hospitals and teaching hospitals with fewer than 100 
residents are projected to receive smaller than average payment 
increases of 23.7 percent and 24.1 percent, respectively. Teaching 
hospitals with 100+ residents are projected to receive larger than 
average proposed payment increases of 29.3 percent. Voluntary 
hospitals and proprietary hospitals are projected to receive smaller 
than average increases of 24.1 percent and 25.0 percent, 
respectively, while government-owned hospitals are expected to 
receive a larger than average proposed payment increase of 30.4 
percent. Hospitals with less than 25 percent Medicare utilization 
are projected to receive larger than average increases of 26.6 
percent, while hospitals with Medicare utilization between 25-50 
percent and 50-65 percent are projected to receive smaller than 
average proposed payment increases of 24.3 percent and 23.7 percent, 
respectively. There are 2 hospitals with greater than 65 percent 
Medicare utilization, and the hospitals are projected to have a 
decrease in payments of 100.0 percent, which reflects the hospitals' 
projected DSH eligibility. Hospitals with 50-65 percent Medicaid 
utilization and those with greater than 65 percent Medicaid 
utilization are projected to receive larger than average increases 
in proposed payments of 30.8 and 41.2 percent, respectively, while 
hospitals with less than 25 percent Medicaid utilization and those 
with Medicaid utilization between 25-50 percent are projected to 
receive smaller than average increases of 24.4 percent and 25.7 
percent, respectively.
    The impact table reflects the modeled FY 2026 proposed UCP and 
supplemental payments for IHS/Tribal and Puerto Rico hospitals. We 
note that the proposed supplemental payments to IHS/Tribal hospitals 
and Puerto Rico hospitals are estimated to be approximately $100.6 
million in FY 2026.

3. Effects of Expiration of the Temporary Changes to the Low-Volume 
Hospital Payment Policy

    In section VI.D. of the preamble of this proposed rule, we 
discuss the extension of the temporary changes to the low-volume 
hospital payment policy originally provided for by the Affordable 
Care Act and extended by subsequent legislation. Specifically, 
section 2201 of the Full-Year Continuing Appropriations and 
Extensions, 2025 further extended the modified definition of low-
volume hospital and the methodology for calculating the payment 
adjustment for low-volume hospitals under section 1886(d)(12) 
through September 30, 2025. Prior to the enactment of the Full-Year 
Continuing Appropriations and Extensions, 2025, the temporary 
changes to the low-volume hospital payment adjustment were set to 
expire on April 1, 2025. Under the extension provided by section 
2201 of the Full-Year Continuing Appropriations and Extensions, 
2025, FY 2025 payments to IPPS hospitals are projected to increase 
by approximately $90 million relative to what the payments would 
have been in the absence of section 2201.
    Beginning October 1, 2025, the low-volume hospital qualifying 
criteria and payment adjustment will revert to the statutory 
requirements that were in effect prior to FY 2011, and the 
preexisting low-volume hospital payment adjustment methodology and 
qualifying criteria, as implemented in FY 2005, will resume. 
Therefore, absent further Congressional action, effective for FY 
2026 and subsequent years, in order to qualify as a low-volume 
hospital, a subsection (d) hospital must be more than 25 road miles 
from another subsection (d) hospital and have less than 200 
discharges (that is, less than 200 discharges total, including both 
Medicare and non-Medicare discharges) during the fiscal year.
    Using the same methodology used in developing the quantitative 
analyses of changes in payments per case discussed previously in 
section I.G. of this Appendix, based upon the best available data at 
this time, we estimate the expiration of the temporary changes to 
the low-volume hospital payment policy effective for discharges 
occurring on or after October 1, 2025, and subsequent years would 
decrease aggregate low-volume hospital payments by $375 million in 
FY 2026 as compared to FY 2025. This payment estimate was determined 
based on the estimated payments for the approximately 580 providers 
that are expected to no longer qualify under the criteria that are 
effective beginning on October 1, 2025.
    Of those 580 hospitals, currently approximately 100 hospitals 
have a low-volume hospital payment adjustment based on 500 or fewer 
total discharges, while the remaining approximately 480 hospitals 
have an adjustment based on having between 500 and 3,800 total 
discharges. Approximately 55 of the 580 hospitals that currently 
qualify for a low-volume hospital payment adjustment in FY 2025 have 
200 or fewer total discharges. However, the distance information 
needed to project whether those hospitals are more than 25 road 
miles from another subsection (d) hospital (instead of 15 road 
miles), and therefore would continue to qualify for a low-volume 
hospital payment adjustment for FY 2026, is evaluated by each 
hospitals' MAC. Therefore, we are unable to estimate how many of 
these 55 hospitals would continue to qualify for the low-volume 
hospital payment adjustment for FY 2026.

4. Impact for Proposed Revision to Regulation Text Regarding 
Calculation of Net Cost of NAH Education Programs (42 CFR 
413.85(d)(2)(i))

    In section V.G.3. of the preamble of this proposed rule, we 
discuss our proposal to revise our regulations at 42 CFR 
413.85(d)(2)(i) to state clearly that when calculating the allowable 
net cost of approved nursing and allied health (NAH) education 
programs, the correct order of operations is to determine direct 
costs, subtract tuition and fees, and then add indirect costs. This 
is in response to an adverse ruling in the U.S. District Court for 
the District of Columbia (DC) involving five plaintiff hospitals 
(Mercy Health--St. Vincent Medical Center LLC d/b/a Mercy St. 
Vincent Medical Center, et al., v. Xavier Becerra, Case No. 22-cv-
3578 (TNM)). The proposed effective date of this proposed regulation 
change would be cost reporting periods beginning on or after October 
1, 2025. Regarding the financial impact of this change to the 
regulations text, other than the amounts in dispute in the specific 
court case, the national impact is unknown, as it is unclear how 
many hospitals will change their reporting practices in the absence 
of this rulemaking. Therefore, we are unable to estimate the impact.

5. Effects Under the Hospital Readmissions Reduction Program for FY 
2026

    In section VI.K. of the preamble of this proposed rule, we are 
proposing to modify the six readmission measures in the program to 
include Medicare Advantage (MA) beneficiaries into the patient 
cohorts and modify the applicable performance period from a 3-year 
period to a 2-year period beginning with the FY 2027 program year; 
the remaining policies finalized in FY 2025 IPPS/LTCH PPS final rule 
(89 FR 69400) continue to apply. The Hospital Readmissions Reduction 
Program requires a reduction to a hospital's base operating 
diagnosis-related group (DRG) payments to account for excess 
readmissions of selected applicable conditions and procedures. The 
table and analysis in this section illustrate the estimated 
financial impact of the Hospital Readmissions Reduction Program 
payment adjustment methodology by hospital characteristic. Hospitals 
are sorted into quintiles based on the proportion of dual-eligible 
stays among Medicare fee-for-service (FFS) and managed care stays 
between July 1, 2020, and June 30, 2023 (that is, the FY 2025 
Hospital Readmissions Reduction Program's applicable period, which 
is the most recently available data at the time of publication of 
this proposed rule). Hospitals' excess readmission ratios (ERRs) are 
assessed relative to their peer group median and a neutrality 
modifier is applied in the payment adjustment factor calculation to 
maintain budget neutrality. In the FY 2026 IPPS/LTCH

[[Page 18470]]

PPS final rule, we will provide an updated estimate of the financial 
impact using the proportion of dually eligible beneficiaries, ERRs, 
and aggregate payments for each condition/procedure and all 
discharges for applicable hospitals from the FY 2026 Hospital 
Readmissions Reduction Program applicable period (that is, July 1, 
2021, through June 30, 2024).
    The results in Table I.G.5.-01 include 2,828 non-Maryland 
hospitals estimated as eligible to receive a penalty during the 
performance period. Hospitals are eligible to receive a penalty if 
they have 25 or more eligible discharges for at least one measure 
between July 1, 2021, and June 30, 2024. The second column in Table 
I.G.5.-01 indicates the total number of non-Maryland hospitals with 
available data for each characteristic that have an estimated 
payment adjustment factor less than 1 (that is, penalized 
hospitals).
    The third column in Table I.G.5.-01 indicates the estimated 
percentage of penalized hospitals among those eligible to receive a 
penalty by hospital characteristic. For example, 78.34 percent of 
eligible hospitals characterized as non-teaching hospitals are 
expected to be penalized. Among teaching hospitals, 88.57 percent of 
eligible hospitals with fewer than 100 residents and 90.14 percent 
of eligible hospitals with 100 or more residents are expected to be 
penalized. The fourth column in Table I.G.5.-01 estimates the 
financial impact on hospitals by hospital characteristic. Table 
I.G.5.-01 also shows the share of penalties as a percentage of all 
base operating DRG payments for hospitals with each characteristic. 
This is calculated as the sum of penalties for all hospitals with 
that characteristic over the sum of all base operating DRG payments 
for those hospitals between October 1, 2022, through September 30, 
2023 (FY 2023). For example, the penalty as a share of payments for 
non-teaching hospitals is 0.45 percent. This means that total 
penalties for all non-teaching hospitals are 0.45 percent of total 
payments for non-teaching hospitals. Measuring the financial impact 
on hospitals as a percentage of total base operating DRG payments 
accounts for differences in the amount of base operating DRG 
payments for hospitals with the characteristic when comparing the 
financial impact of the program on different groups of hospitals.

    Table I.G.5.-01--Estimated Percentage of Hospitals Penalized and Penalty as Share of Payments for FY 2026
                       Hospital Readmissions Reduction Program by Hospital Characteristic
----------------------------------------------------------------------------------------------------------------
                                                                                   Percentage of   Penalty as a
                                                     Number of       Number of       hospitals       share of
             Hospital characteristic                 eligible        penalized     penalized \c\   payments \d\
                                                   hospitals \a\   hospitals \b\        (%)             (%)
----------------------------------------------------------------------------------------------------------------
All Hospitals...................................           2,828           2,342           82.81            0.42
By Geographic Location (n=2,828):
Urban hospitals.................................           2,164           1,836           84.84            0.42
    1-99 beds...................................             505             336           66.53            0.39
    100-199 beds................................             624             549           87.98            0.48
    200-299 beds................................             397             368           92.70            0.48
    300-399 beds................................             268             250           93.28            0.43
    400-499 beds................................             123             112           91.06            0.46
    500 or more beds............................             247             221           89.47            0.34
Rural hospitals.................................             664             506           76.20            0.41
    1-49 beds...................................             312             203           65.06            0.31
    50-99 beds..................................             186             151           81.18            0.46
    100-149 beds................................              92              82           89.13            0.39
    150-199 beds................................              44              41           93.18            0.43
    200 or more beds............................              30              29           96.67            0.40
By Teaching Status \e\ (n=2,828):
    Non-teaching................................           1,634           1,280           78.34            0.45
    Fewer than 100 Residents....................             910             806           88.57            0.44
    100 or more Residents.......................             284             256           90.14            0.36
By Ownership Type (n=2,828):
    Government..................................             403             313           77.67            0.29
    Proprietary.................................             636             519           81.60            0.55
    Voluntary...................................           1,789           1,510           84.40            0.41
By Safety-Net Status \f\ (n=2,828):
    Safety-net hospitals........................             544             453           83.27            0.34
    Non-safety-net hospitals....................           2,284           1,889           82.71            0.44
By Disproportionate Share Hospital (DSH) Patient
 Percentage \g\ (n=2,828):
    0-24........................................           1,058             828           78.26            0.48
    25-49.......................................           1,469           1,273           86.66            0.39
    50-64.......................................             177             147           83.05            0.36
    65 and over.................................             124              94           75.81            0.43
By Medicare Cost Report (MCR) Percentage \h\
 (n=2,827):
    0-24........................................           1,183             995           84.11            0.33
    25-49.......................................           1,572           1,296           82.44            0.48
    50-64.......................................              62              43           69.35            0.75
    65 and over.................................              10               7           70.00            0.29
By Region (n=2,828):
    New England.................................             122             106           86.89            0.64
    Middle Atlantic.............................             313             287           91.69            0.46
    East North Central..........................             444             379           85.36            0.43
    West North Central..........................             228             172           75.44            0.23
    South Atlantic..............................             483             421           87.16            0.46
    East South Central..........................             253             210           83.00            0.47
    West South Central..........................             425             342           80.47            0.39
    Mountain....................................             211             151           71.56            0.31

[[Page 18471]]

 
    Pacific.....................................             349             274           78.51            0.34
----------------------------------------------------------------------------------------------------------------
Source: The table results are based on the data used to calculate the FY 2025 payment adjustment factors of
  open, non-Maryland, subsection (d) hospitals only. The FY 2025 payment adjustment factors are based on
  discharges from July 1, 2020, through June 30, 2023. Although data from all subsection (d) and Maryland
  hospitals are used in calculations of each hospital's ERR, this table does not include results for Maryland
  hospitals and hospitals that are not open as of the October 2024 public reporting open hospital list because
  these hospitals are not eligible for a penalty under the program. Hospitals are sorted into five peer groups
  based on the proportion of FFS and managed care dual-eligible stays for the multi-year performance period.
  Hospital characteristics are from the FY 2025 IPPS Proposed Rule Impact File.
Note: The total number of hospitals with hospital characteristics data may not add up to the total number of
  hospitals because not all hospitals have data for all characteristics. Not all hospitals had data for MCR
  percentage (n=2,827; missing=1).
\a\ This column is the number of applicable hospitals within the characteristic that are eligible for a penalty
  (that is, they have 25 or more eligible discharges for at least one measure).
\b\ This column is the number of applicable hospitals that are penalized (that is, they have 25 or more eligible
  discharges for at least one measure and an estimated payment adjustment factor less than 1) within the
  characteristic.
\c\ This column is the percentage of applicable hospitals that are penalized among hospitals that are eligible
  to receive a penalty by characteristic.
\d\ This column is calculated as the sum of all penalties for the group of hospitals with that characteristic
  divided by total base operating DRG payments for all those hospitals. Measuring the financial impact on
  hospitals as a percentage of total base operating DRG payments in this way allows for comparisons across
  hospital characteristics that accounts for differences in the amount of base operating DRG payments for
  different groups of hospitals. MedPAR data from October 1, 2022, through September 30, 2023 (FY 2023), are
  used to estimate the total base operating DRG payments.
\e\ A hospital is considered a teaching hospital if it has an Indirect Medical Education adjustment factor for
  Operation PPS (TCHOP) greater than zero.
\f\ A hospital is considered a safety-net hospital if it is in the top DSH quintile.
\g\ DSH patient percentage is the sum of the percentage of Medicare inpatient days attributable to patients
  eligible for both Medicare Part A and Supplemental Security Income (SSI), and the percentage of total
  inpatient days attributable to patients eligible for Medicaid but not Medicare Part A.
\h\ MCR (Medicare Cost Report) percentage is the percentage of total inpatient stays from Medicare patients.

6. Effects of Changes Under the FY 2026 Hospital Value-Based Purchasing 
(VBP) Program

    The Secretary makes value-based incentive payments to hospitals 
under the Hospital Value-Based Purchasing Program based on their 
performance on measures during the performance period with respect 
to a fiscal year. These incentive payments will be funded for FY 
2026 through a reduction to the FY 2026 base operating DRG payment 
amount for hospital discharges for such fiscal year, as required by 
section 1886(o)(7)(B) of the Act. The applicable percentage for FY 
2026 and subsequent years is 2 percent. The total amount available 
for value-based incentive payments must be equal to the total amount 
of reduced payments for all hospitals for the fiscal year, as 
estimated by the Secretary. In section VI.L.1.b. of the preamble of 
this proposed rule, we estimate the available pool of funds for 
value-based incentive payments in the FY 2026 program year, which, 
in accordance with section 1886(o)(7)(C)(v) of the Act, will be 2.00 
percent of base operating DRG payments, or a total of approximately 
$1.7 billion. This estimated available pool for FY 2026 is based on 
the historical pool of hospitals that were eligible to participate 
in the FY 2025 program year and the payment information from the 
December 2024 update to the FY 2024 MedPAR file.
    The proposed estimated impacts of the FY 2026 program year by 
hospital characteristic, found in Table I.G.6.-01., are based on 
historical TPSs, sepsis measure results and the Health Equity 
Adjustment previously finalized in the FY 2024 IPPS rule (88 FR 
59092 through 59106). Table I.G.6.-02 are based on the same data and 
reflect our proposal to remove the Health Equity Adjustment as 
discussed in this proposed rule. We used the FY 2025 program year's 
TPSs to calculate the proxy adjustment factors used for this impact 
analysis. These are the most recently available scores that 
hospitals were given an opportunity to review and correct. The proxy 
adjustment factors use estimated annual base operating DRG payment 
amounts derived from the December 2024 update to the FY 2024 MedPAR 
file. The proxy adjustment factors can be found in Table 16 
associated with this proposed rule (available via the internet on 
the CMS website).
    The proposed estimated impact analysis shows that, for the FY 
2026 program year, the number of hospitals with a positive percent 
change in base operating DRG (51.5 percent) is higher than the 
number of hospitals with a negative percent change (48.5 percent). 
Approximately half of all hospitals experience a percent change in 
base operating DRG between -1.9 percent and 0.0 percent. On average, 
both urban and rural hospitals in the Pacific region have the 
highest positive percent change in base operating DRG. Urban 
hospitals in the Middle Atlantic, East South Central, South 
Atlantic, and West South Central regions experience an average 
negative percent change in base operating DRG. All other regions 
(both urban and rural) experience an average positive percent change 
in base operating DRG. As the MCR percent increases, the average 
percent change in base operating DRG generally increases, except for 
the four hospitals with the highest MCR percentage. As DSH percent 
increases, the average percent change in base operating DRG 
decreases except for hospitals with greater than 65 DSH percent. On 
average, non-teaching hospitals have a higher percent change in base 
operating DRG compared to teaching hospitals.

 Table I.G.6.-01--Impact Analysis of Base Operating DRG Payment Amounts Resulting From the FY 2026 Hospital VBP
                                                     Program
----------------------------------------------------------------------------------------------------------------
                                                                                          Average net percentage
                                                                    Number of hospitals     payment adjustment
----------------------------------------------------------------------------------------------------------------
BY GEOGRAPHIC LOCATION:
    All Hospitals................................................                 2,532                    0.170
        Urban Area...............................................                 1,984                    0.066
        Rural Area...............................................                   547                    0.543
        Missing..................................................                     1                    0.786

[[Page 18472]]

 
    Urban Hospitals..............................................                 1,984                    0.066
        0-99 beds................................................                   364                    0.570
        100-199 beds.............................................                   602                    0.139
        200-299 beds.............................................                   402                   -0.111
        300-499 beds.............................................                   379                   -0.202
        500 or more beds.........................................                   237                   -0.163
    Rural Hospitals..............................................                   547                    0.543
        0-49 beds................................................                   212                    0.810
        50-99 beds...............................................                   178                    0.505
        100-149 beds.............................................                    86                    0.445
        150-199 beds.............................................                    41                    0.043
        200 or more beds.........................................                    30                   -0.147
BY REGION:
    Urban By Region..............................................                 1,984                    0.066
        New England..............................................                    96                    0.170
        Middle Atlantic..........................................                   244                   -0.026
        South Atlantic...........................................                   365                   -0.075
        East North Central.......................................                   311                    0.171
        East South Central.......................................                   117                   -0.274
        West North Central.......................................                   131                    0.214
        West South Central.......................................                   246                   -0.095
        Mountain.................................................                   154                    0.001
        Pacific..................................................                   320                    0.383
    Rural By Region..............................................                   547                    0.543
        New England..............................................                    19                    0.529
        Middle Atlantic..........................................                    41                    0.624
        South Atlantic...........................................                    90                    0.452
        East North Central.......................................                   100                    0.759
        East South Central.......................................                   100                    0.210
        West North Central.......................................                    68                    0.624
        West South Central.......................................                    73                    0.358
        Mountain.................................................                    32                    0.979
        Pacific..................................................                    24                    1.008
BY MCR PERCENT:
    0-25.........................................................                 1,118                    0.115
    25-50........................................................                 1,369                    0.201
    50-65........................................................                    38                    0.528
    Over 65......................................................                     4                    0.449
    Missing......................................................                     3                    1.387
BY DSH PERCENT:
    0-25.........................................................                   887                    0.239
    25-50........................................................                 1,394                    0.127
    50-65........................................................                   146                    0.070
    Over 65......................................................                   104                    0.275
    Missing......................................................                     1                    0.786
BY TEACHING STATUS:
    Non-Teaching.................................................                 1,370                    0.319
    Teaching.....................................................                 1,161                   -0.007
    Missing......................................................                     1                    0.786
----------------------------------------------------------------------------------------------------------------

    The proposed estimated impact analysis shows that, for the FY 
2026 program year, with the proposal to remove the Health Equity 
Adjustment the number of hospitals with a negative percent change in 
base operating DRG (50.8 percent) is higher than the number of 
hospitals with a positive percent change (49.2 percent). 
Approximately half of all hospitals experience a percent change in 
base operating DRG between -2.1 percent and 0.0 percent. On average, 
both urban hospitals in the West North Central region and rural 
hospitals in the Mountain region have the highest positive percent 
change in base operating DRG. Urban hospitals in the Middle 
Atlantic, East South Central, and West South Central regions 
experience an average negative percent change in base operating DRG. 
All other regions (both urban and rural) experience an average 
positive percent change in base operating DRG. Hospitals in higher 
MCR percent categories have higher average net percentage payment 
increases compared to hospitals with lower MCR percent. Hospitals in 
higher DSH percent categories (50-65 and greater than 65) have 
negative average net percentage payment, compared to hospitals in 
the lower DSH categories. On average, non-teaching hospitals have a 
higher percent change in base operating DRG compared to teaching 
hospitals.

[[Page 18473]]



 Table I.G.6.-02--Impact Analysis of Base Operating DRG Payment Amounts Resulting From the FY 2026 Hospital VBP
                            Program--Proposal To Remove the Health Equity Adjustment
----------------------------------------------------------------------------------------------------------------
                                                                                          Average net percentage
                                                                    Number of hospitals     payment adjustment
----------------------------------------------------------------------------------------------------------------
BY GEOGRAPHIC LOCATION:
    All Hospitals................................................                 2,532                    0.168
        Urban Area...............................................                 1,984                    0.077
        Rural Area...............................................                   547                    0.499
        Missing..................................................                     1                    0.466
    Urban Hospitals..............................................                 1,984                    0.077
        0-99 beds................................................                   364                    0.713
        100-199 beds.............................................                   602                    0.137
        200-299 beds.............................................                   402                   -0.130
        300-499 beds.............................................                   379                   -0.244
        500 or more beds.........................................                   237                   -0.186
    Rural Hospitals..............................................                   547                    0.499
        0-49 beds................................................                   212                    0.823
        50-99 beds...............................................                   178                    0.478
        100-149 beds.............................................                    86                    0.288
        150-199 beds.............................................                    41                   -0.077
        200 or more beds.........................................                    30                   -0.267
BY REGION:
    Urban By Region..............................................                 1,984                    0.077
        New England..............................................                    96                    0.103
        Middle Atlantic..........................................                   244                   -0.095
        South Atlantic...........................................                   365                    0.024
        East North Central.......................................                   311                    0.107
        East South Central.......................................                   117                   -0.132
        West North Central.......................................                   131                    0.302
        West South Central.......................................                   246                   -0.003
        Mountain.................................................                   154                    0.142
        Pacific..................................................                   320                    0.246
    Rural By Region..............................................                   547                    0.499
        New England..............................................                    19                    0.443
        Middle Atlantic..........................................                    41                    0.491
        South Atlantic...........................................                    90                    0.375
        East North Central.......................................                   100                    0.699
        East South Central.......................................                   100                    0.121
        West North Central.......................................                    68                    0.688
        West South Central.......................................                    73                    0.273
        Mountain.................................................                    32                    1.242
        Pacific..................................................                    24                    0.936
BY MCR PERCENT:
    0-25.........................................................                 1,118                    0.085
    25-50........................................................                 1,369                    0.222
    50-65........................................................                    38                    0.533
    Over 65......................................................                     4                    0.473
    Missing......................................................                     3                    1.682
BY DSH PERCENT:
    0-25.........................................................                   887                    0.418
    25-50........................................................                 1,394                    0.058
    50-65........................................................                   146                   -0.178
    Over 65......................................................                   104                   -0.001
    Missing......................................................                     1                    0.466
BY TEACHING STATUS:
    Non-Teaching.................................................                 1,370                    0.360
    Teaching.....................................................                 1,161                   -0.058
    Missing......................................................                     1                    0.466
----------------------------------------------------------------------------------------------------------------

    The actual FY 2026 program year's TPSs will not be reviewed and 
corrected by hospitals until after the FY 2026 IPPS/LTCH PPS final 
rule has published. Therefore, the same historical universe of 
eligible hospitals and corresponding TPSs from the FY 2025 program 
year would be used for the updated impact analysis in the final 
rule, if the proposals, as previously described, for FY 2026 are not 
finalized.

7. Effects of Requirements Under the Hospital-Acquired Condition (HAC) 
Reduction Program for FY 2026

    We present the estimated impact of the FY 2026 HAC Reduction 
Program on hospitals by hospital characteristic based on previously 
adopted policies for the program. In this proposed rule, we are not 
proposing to add or remove any measures from the HAC Reduction 
Program, nor are we proposing any changes to reporting or submission 
requirements which would have any significant economic impact for 
the FY 2026 program year. The table in this section presents the 
estimated proportion of hospitals in the worst-performing quartile 
of Total HAC Scores by hospital characteristic. Hospitals' CMS 
Patient Safety and Adverse Events Composite (CMS PSI 90) measure 
results are based on Medicare fee-for-service (FFS) discharges from 
July 1, 2021, through June 30, 2023, and version 14.0 of the CMS PSI 
software. Hospitals' measure results for Centers for Disease Control 
and Prevention (CDC) Central Line-Associated Bloodstream

[[Page 18474]]

Infection (CLABSI), Catheter-Associated Urinary Tract Infection 
(CAUTI), Colon and Abdominal Hysterectomy Surgical Site Infection 
(SSI), Methicillin-resistant Staphylococcus aureus (MRSA) 
bacteremia, and Clostridium difficile Infection (CDI) are derived 
from standardized infection ratios (SIRs) calculated with hospital 
surveillance data reported to the CDC's National Healthcare Safety 
Network (NHSN) for infections occurring between January 1, 2022, and 
December 31, 2023. Hospital characteristics are based on the FY 2025 
IPPS proposed rule Impact File.
    This table includes 2,933 non-Maryland hospitals with an 
estimated FY 2026 Total HAC Score based on the most recently 
available data at the time of publication of this proposed rule. 
Maryland hospitals and hospitals without a Total HAC Score are 
excluded from the table. Actual results for FY 2026 will be 
determined in the fall of 2025 after a 30-day review and corrections 
period for hospitals to review their program results. The first 
column presents a breakdown of each characteristic, and the second 
column indicates the number of hospitals for the respective 
characteristic.
    The third column in the table indicates the estimated number of 
hospitals for each characteristic that would be in the worst-
performing quartile of Total HAC Scores. For example, with regard to 
teaching status, 426 hospitals out of 1,700 hospitals characterized 
as non-teaching hospitals would be subject to a payment reduction. 
Among teaching hospitals, 196 out of 935 hospitals with fewer than 
100 residents and 102 out of 285 hospitals with 100 or more 
residents would be subject to a payment reduction.
    The fourth column in the table indicates the estimated 
proportion of hospitals for each characteristic that would be in the 
worst performing quartile of Total HAC Scores and thus receive a 
payment reduction under the FY 2026 HAC Reduction Program. For 
example, 25.1 percent of the 1,700 hospitals characterized as non-
teaching hospitals, 21.0 percent of the 935 teaching hospitals with 
fewer than 100 residents, and 35.8 percent of the 285 teaching 
hospitals with 100 or more residents would be subject to a payment 
reduction.

  Table I.G.7.-01--Estimated Proportion of Hospitals in the Worst-Performing Quartile (>75th Percentile) of the
               Total HAC Scores for the FY 2026 HAC Reduction Program (By Hospital Characteristic)
----------------------------------------------------------------------------------------------------------------
                                                                                     Number of      Percent of
                                                                                   hospitals in    hospitals in
                     Hospital characteristic                         Number of      the worst-      the worst-
                                                                     hospitals      performing      performing
                                                                                   quartile \a\    quartile \b\
----------------------------------------------------------------------------------------------------------------
All hospitals \c\...............................................           2,933             732            25.0
By Geographic Location (n=2,920): \d\
Urban hospitals.................................................           2,268             530            23.4
    1-99 beds...................................................             574             147            25.6
    100-199 beds................................................             644             149            23.1
    200-299 beds................................................             409              86            21.0
    300-399 beds................................................             270              49            18.1
    400-499 beds................................................             123              31            25.2
    500 or more beds............................................             248              68            27.4
Rural hospitals.................................................             652             194            29.8
    1-49 beds...................................................             298              82            27.5
    50-99 beds..................................................             188              61            32.4
    100-149 beds................................................              92              23            25.0
    150-199 beds................................................              44              18            40.9
    200 or more beds............................................              30              10            33.3
By Teaching Status \d\ (n=2,920): \d\
    Non-teaching................................................           1,700             426            25.1
    Fewer than 100 residents....................................             935             196            21.0
    100 or more residents.......................................             285             102            35.8
By Ownership (n=2,920):
    Government..................................................             404             138            34.2
    Proprietary.................................................             684             120            17.5
    Voluntary...................................................           1,832             466            25.4
By Safety-Net Status \e\ (n=2,920): \d\
    Safety-net..................................................             580             163            28.1
    Non-safety net..............................................           2,340             561            24.0
By Disproportionate Share Hospital (DSH) Patient Percentage \f\
 (n=2,920):
    0-24........................................................           1,112             235            21.1
    25-49.......................................................           1,471             385            26.2
    50-64.......................................................             186              55            29.6
    65 and over.................................................             151              49            32.5
By Medicare Cost Report (MCR) Percentage (n=2,915):
    0-24........................................................           1,273             307            24.1
    25-49.......................................................           1,571             395            25.1
    50-64.......................................................              56              14            25.0
    65 and over.................................................              15               4            26.7
By Region (n=2,933):
    New England.................................................             125              36            28.8
    Middle Atlantic.............................................             322              90            28.0
    East North Central..........................................             462             131            28.4
    West North Central..........................................             232              55            23.7
    South Atlantic..............................................             494             111            22.5
    East South Central..........................................             255              73            28.6
    West South Central..........................................             444              93            20.9
    Mountain....................................................             224              39            17.4

[[Page 18475]]

 
    Pacific.....................................................             375             104            27.7
----------------------------------------------------------------------------------------------------------------
Source: FY 2026 HAC Reduction Program estimated proposed rule results are based on CMS PSI 90 data from July 1,
  2021, through June 30, 2023, and CDC's NHSN HAI results from January 1, 2022, through December 31, 2023.
  Hospital Characteristics are based on the FY 2025 IPPS proposed rule Impact File.
Note: The total number of hospitals with hospital characteristic data may not add up to the total number of
  hospitals because not all hospitals have data for all characteristics. Not all hospitals had data for
  geographic location, teaching status, ownership, Safety-net status, and DSH percent (n=2,920; missing=13), and
  MCR percent (n=2,915; missing=18).
\a\ This column is the number of non-Maryland hospitals with a Total HAC Score within the corresponding
  characteristic that are estimated to be in the worst-performing quartile.
\b\ This column is the percent of non-Maryland hospitals within each characteristic that are estimated to be in
  the worst-performing quartile. The percentages are calculated by dividing the number of non-Maryland hospitals
  with a Total HAC Score in the worst-performing quartile by the total number of non-Maryland hospitals with a
  Total HAC Score within that characteristic.
\c\ The number of non-Maryland hospitals with a Total HAC Score (n=2,933).
\d\ A hospital is considered a teaching hospital if it has an IME adjustment factor for Operation PPS (TCHOP)
  greater than zero.
\e\ A hospital is considered a Safety-net hospital if it is in the top quintile for DSH percent.
\f\ The DSH patient percentage is equal to the sum of: (1) the percentage of Medicare inpatient days
  attributable to patients eligible for both Medicare Part A and Supplemental Security Income; and (2) the
  percentage of total inpatient days attributable to patients eligible for Medicaid but not Medicare Part A.

8. Effects of the Implementation of the Rural Community Hospital 
Demonstration (RCHD) Program in FY 2026

    In section VI.N.2 of the preamble of this proposed rule for FY 
2026, we discussed our budget neutrality methodology for section 
410A of Public Law 108-173, as amended by sections 3123 and 10313 of 
Public Law 111-148, by section 15003 of Public Law 114-255, and most 
recently, by section 128 of Public Law 116-260, which requires the 
Secretary to conduct a demonstration that would modify payments for 
inpatient services for up to 30 rural hospitals. Section 128 of 
Public Law 116-260 requires the Secretary to conduct the Rural 
Community Hospital Demonstration for a 15-year extension period 
(that is, for an additional 5 years beyond the previous extension 
period). In addition, the statute provides for continued 
participation for all hospitals participating in the demonstration 
program as of December 30, 2019.
    While the statute does not call for any new hospitals to join 
the demonstration, CMMI issued a notice on December 20, 2024, in the 
Federal Register for a solicitation (CMS-5051-N2) (89 FR 105049) for 
up to 10 additional eligible hospitals to participate in the RCHD. 
Applications were due March 1, 2025. Hospitals that enter the 
demonstration under this solicitation will be able to participate 
from May 1, 2025, through June 30, 2028. Section 410A(c)(2) of 
Public Law 108-173 requires that in conducting the demonstration 
program under this section, the Secretary shall ensure that the 
aggregate payments made by the Secretary do not exceed the amount 
which the Secretary would have paid if the demonstration program 
under this section was not implemented (budget neutrality). To 
ensure budget neutrality, we propose to adopt the general 
methodology used in previous years, whereby we estimated the 
additional payments made by the program for each of the 
participating hospitals as a result of the demonstration, and then 
adjusted the national IPPS rates by an amount sufficient to account 
for the added costs of this demonstration. This proposed methodology 
applies budget neutrality across the payment system as a whole 
rather than across the participants of this demonstration. The 
language of the statutory budget neutrality requirement permits the 
agency to implement the budget neutrality provision in this manner. 
The statutory language requires that aggregate payments made by the 
Secretary do not exceed the amount which the Secretary would have 
paid if the demonstration was not implemented but does not identify 
the range across which aggregate payments must be held equal.
    For this proposed rule, the resulting amount applicable to FY 
2026 is $47,527,557, which we are proposing as the budget neutrality 
offset adjustment for FY 2026. This estimated amount is based on the 
specific assumptions regarding the data sources used, that is, 
recently available ``as submitted'' cost reports and historical and 
currently finalized update factors for cost and payment.
    In previous years, we have incorporated a second component into 
the budget neutrality offset amounts identified in the IPPS/LTCH PPS 
final rules. As finalized cost reports became available, we 
determined the amount by which the actual costs of the demonstration 
for an earlier, given year differed from the estimated costs for the 
demonstration set forth in the IPPS/LTCH PPS final rule for the 
corresponding fiscal year, and we incorporated that amount into the 
budget neutrality offset amount for the upcoming fiscal year. We 
have calculated this difference for FYs 2005 through 2018 between 
the actual costs of the demonstration as determined from finalized 
cost reports once available, and estimated costs of the 
demonstration as identified in the applicable IPPS/LTCH PPS final 
rules for these years.
    With the extension of the demonstration for another 5-year 
period, as authorized by section 128 of Public Law 116-260, we 
propose to continue this general procedure. At this time, for the FY 
2026 IPPS/LTCH PPS proposed rule, not all of the finalized cost 
reports are available for the 20 hospitals that completed cost 
report periods beginning in FY 2020 under the demonstration payment 
methodology. If all of these cost reports are available, we will 
include in the budget neutrality offset amount in the FY 2026 IPPS/
LTCH PPS final rule the amount by which the actual costs of the 
demonstration, as determined from these cost reports, differed from 
the estimated costs identified in the FY 2020 IPPS/LTCH PPS final 
rule.

9. Effects of Continued Implementation of the Frontier Community Health 
Integration Project (FCHIP) Demonstration

    In section VIII.B.2. of the preamble of this proposed rule, we 
discuss the implementation of the FCHIP Demonstration, which was 
authorized under section 123 of the Medicare Improvements for 
Patients and Providers Act of 2008 (Pub. L. 110-275), as amended by 
section 3126 of the Affordable Care Act of 2010 (Pub. L. 114-158), 
and most recently re-authorized and extended by the Consolidated 
Appropriations Act of 2021 (Pub. L. 116-260). The legislation 
authorized a demonstration project to allow eligible entities to 
develop and test new models for the delivery of health care in order 
to improve access to and better integrate the delivery of acute 
care, extended care and other health care services to Medicare 
beneficiaries in certain rural areas. The FCHIP demonstration 
initial period was conducted in 10 critical access hospitals (CAHs) 
from August 1, 2016, to July 31, 2019, and the demonstration 
``extension period'' began on January 1, 2022, to run through June 
30, 2027. Section 123(g)(1)(B) of Public Law 110-275 required that 
the demonstration be budget neutral. Specifically, this provision 
stated that, in conducting the demonstration project, the Secretary 
shall ensure that the aggregate payments made by the Secretary do

[[Page 18476]]

not exceed the amount which the Secretary estimates would have been 
paid if the demonstration project under the section were not 
implemented. Budget neutrality estimates for the demonstration 
described in the preamble of this proposed rule are based on the 
demonstration extension period.
    As described in the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69416 through 69419), CMS waived certain Medicare rules for CAHs 
participating in the demonstration extension period to allow for 
alternative reasonable cost-based payment methods in the three 
distinct intervention service areas: telehealth services, ambulance 
services, and skilled nursing facility/nursing facility services. 
These waivers were implemented with the goal of increasing access to 
care with no net increase in costs. As we explained in the FY 2025 
IPPS/LTCH PPS final rule (89 FR 69416 through 69419), section 129 of 
Public Law 116-260, stipulates that only the 10 CAHs that 
participated in the initial period of the FCHIP Demonstration are 
eligible to participate during the extension period. Among the 
eligible CAHs, five elected to participate in the extension period. 
The selected CAHs are located in two states--Montana and North 
Dakota--and are implementing the three intervention services.
    As explained in the FY 2025 IPPS/LTCH PPS final rule, we based 
our selection of CAHs for participation in the demonstration with 
the goal of maintaining the budget neutrality of the demonstration 
on its own terms meaning that the demonstration would produce 
savings from reduced transfers and admissions to other health care 
providers, offsetting any increase in Medicare payments as a result 
of the demonstration. However, because of the small size of the 
demonstration and uncertainty associated with the projected Medicare 
utilization and costs, the policy we finalized for the demonstration 
extension period of performance in the FY 2025 IPPS/LTCH PPS final 
rule provides a contingency plan to ensure that the budget 
neutrality requirement in section 123 of Public Law 110-275 is met.
    In the FY 2025 IPPS/LTCH PPS final rule, we adopted the same 
budget neutrality policy contingency plan used during the 
demonstration initial period to ensure that the budget neutrality 
requirement in section 123 of Public Law 110-275 is met during the 
demonstration extension period. If analysis of claims data for 
Medicare beneficiaries receiving services at each of the 
participating CAHs, as well as from other data sources, including 
cost reports for the participating CAHs, shows that increases in 
Medicare payments under the demonstration during the 5-year 
extension period is not sufficiently offset by reductions elsewhere, 
we will recoup the additional expenditures attributable to the 
demonstration through a reduction in payments to all CAHs 
nationwide.
    As explained in the FY 2025 IPPS/LTCH PPS final rule (89 FR 
69416 through 69419), because of the small scale of the 
demonstration, we indicated that we did not believe it would be 
feasible to implement budget neutrality for the demonstration 
extension period by reducing payments to only the participating 
CAHs. Therefore, in the event that this demonstration extension 
period is found to result in aggregate payments in excess of the 
amount that would have been paid if this demonstration extension 
period were not implemented, CMS policy is to comply with the budget 
neutrality requirement finalized in the FY 2025 IPPS/LTCH PPS final 
rule, by reducing payments to all CAHs, not just those participating 
in the demonstration extension period.
    In the FY 2025 IPPS/LTCH PPS final rule, we stated that we 
believe it is appropriate to make any payment reductions across all 
CAHs because the FCHIP Demonstration was specifically designed to 
test innovations that affect delivery of services by the CAH 
provider category. As we explained in the FY 2025 IPPS/LTCH PPS 
final rule, we believe that the language of the statutory budget 
neutrality requirement at section 123(g)(1)(B) of Public Law 110-275 
permits the agency to implement the budget neutrality provision in 
this manner. The statutory language merely refers to ensuring that 
aggregate payments made by the Secretary do not exceed the amount 
which the Secretary estimates would have been paid if the 
demonstration project was not implemented and does not identify the 
range across which aggregate payments must be held equal.
    In the FY 2022 IPPS/LTCH PPS final rule (86 FR 45323 through 
45328), CMS concluded that the initial period of the FCHIP 
Demonstration had satisfied the budget neutrality requirement 
described in section 123(g)(1)(B) of Public Law 110-275. Therefore, 
CMS did not apply a budget neutrality payment offset policy for the 
initial period of the demonstration. As explained in the FY 2022 
IPPS/LTCH PPS final rule, we finalized a policy to address the 
demonstration budget neutrality methodology and analytical approach 
for the initial period of the demonstration. In the FY 2025 IPPS/
LTCH PPS final rule, we finalized a policy to adopt the same budget 
neutrality methodology and analytical approach used during the 
demonstration initial period to be used for the demonstration 
extension period. As stated in the FY 2025 IPPS/LTCH PPS final rule 
(89 FR 69416 through 69419), our policy for implementing the 5-year 
extension period for section 129 of Public Law 116-260 follows same 
budget neutrality methodology and analytical approach as the 
demonstration initial period methodology. While we expect to use the 
same methodology that was used to assess the budget neutrality of 
the FCHIP Demonstration during initial period of the demonstration 
to assess the financial impact of the demonstration during this 
extension period, upon receiving data for the extension period, we 
may update and/or modify the FCHIP budget neutrality methodology and 
analytical approach to ensure that the full impact of the 
demonstration is appropriately captured. Therefore, we are not 
proposing to apply a budget neutrality payment offset to payments to 
CAHs in FY 2026. This policy will have no impact for any national 
payment system for FY 2026.

10. Effects of the Transforming Episode Accountability Model (TEAM)

    In section XI.A. of the preamble of this proposed rule, we 
discuss testing the mandatory episode-based payment model titled the 
Transforming Episode Accountability Model (TEAM) under the authority 
of the CMS Center for Medicare and Medicaid Innovation (CMS 
Innovation Center). Section 1115A of the Act authorizes the CMS 
Innovation Center to test innovative payment and service delivery 
models that preserve or enhance the quality of care furnished to 
Medicare, Medicaid, and Children's Health Insurance Program 
beneficiaries while reducing program expenditures. The intent of 
TEAM is to improve beneficiary care through financial accountability 
for episode categories that begin with one of the following 
procedures: coronary artery bypass graft, lower extremity joint 
replacement, major bowel procedure, surgical hip/femur fracture 
treatment, and spinal fusion. TEAM will test whether financial 
accountability for these episode categories reduces Medicare 
expenditures while preserving or enhancing the quality of care for 
Medicare beneficiaries. We anticipate that TEAM will benefit 
Medicare beneficiaries through improving the coordination of items 
and services paid for through Medicare fee-for-service (FFS) 
payments, encouraging provider investment in health care 
infrastructure and redesigned care processes, and incentivizing 
higher value care across the inpatient and post-acute care settings 
for the episode.
    As finalized in the FY 2025 IPPS/LTCH PPS final rule (89 FR 
68986), TEAM will be mandatory for acute care hospitals located 
within mandatory CBSAs and will also include acute care hospitals 
that were eligible for voluntary opt-in participation.\6\ TEAM will 
begin on January 1, 2026, and end on December 31, 2030. Payment 
approaches that hold providers accountable for episode cost and 
performance can potentially create incentives for the implementation 
and coordination of care redesign between participants and other 
providers and suppliers such as physicians and post-acute care 
providers. We anticipate TEAM will enable hospitals to consider the 
most appropriate strategies for care redesign, including (1) 
increasing post-hospitalization follow-up and medical management for 
patients; (2) coordinating care across the inpatient and post-acute 
care spectrum; (3) conducting appropriate discharge planning; (4) 
improving adherence to treatment or drug regimens; (5) reducing 
readmissions and complications during the post-discharge period; (6) 
managing chronic diseases and conditions that may be related to the 
episodes; (7) choosing the most appropriate post-acute care setting; 
and (8) coordinating between providers and suppliers such as 
hospitals, physicians, and post-acute care providers.
---------------------------------------------------------------------------

    \6\ Acute care hospitals that participate in the BPCI Advanced 
or the CJR model, that are not located in a mandatory CBSA selected 
for TEAM participation, and continue to participate in BPCI Advanced 
or CJR until the last day of the last performance period or last 
performance year of the respective model, were eligible to 
voluntarily opt into TEAM.
---------------------------------------------------------------------------

    Under TEAM, TEAM participants will continue to bill Medicare 
under the traditional FFS system for items and services

[[Page 18477]]

furnished to Medicare FFS beneficiaries. The TEAM participant may 
receive a reconciliation payment from CMS if Medicare FFS 
expenditures for a performance year are less than the reconciliation 
target price, subject to a quality adjustment. TEAM will not have 
downside risk for Track 1, meaning TEAM participants will only be 
accountable for performance year spending below their reconciliation 
target price, subject to a quality adjustment, that would result in 
a reconciliation payment amount. For Track 2 and Track 3, TEAM will 
be a two-sided risk model that requires TEAM participants to be 
accountable for performance year spending above or below their 
reconciliation target price, subject to a quality adjustment, that 
would result in a reconciliation payment amount or a repayment 
amount.

a. Effects on the Medicare Program

    TEAM is a mandatory episode-based payment model which will have 
a direct effect on the Medicare program because TEAM participants 
will be incentivized to reduce Medicare spending. Additionally, TEAM 
participants could receive a reconciliation payment amount from CMS 
or have to pay CMS a repayment amount based on their spending and 
quality performance. In the FY 2025 IPPS/LTCH PPS final rule (89 FR 
70026), we estimated and projected financial impacts of TEAM over 
the course of the five-year model test. We estimated that on net, 
TEAM participants would pay CMS $442 million, and that TEAM would 
save the Medicare program approximately $481 million over the five 
performance years (2026 through 2030). In this proposed rule, we are 
proposing several policies and soliciting comment on policy 
considerations. We believe the policies that are being proposed 
would not have a material impact on the Medicare savings estimate. 
For example, we do not anticipate there will be many new hospitals 
that would be affected by a deferred participation period, nor would 
capturing an additional quality measure in the model or allowing 
TEAM participants to use swing-bed arrangements in the 3-Day SNF 
Rule waiver have a significant effect on Medicare spending or 
savings. Additionally, the proposals that affect the pricing 
methodology, such as changes to the construction of the prospective 
trend factor and normalization factors or using a 180-day lookback 
period for risk adjustment, aim to improve the accuracy of target 
prices but should not result in dramatic shifts to the Medicare 
savings estimate. We note that certain policy considerations that we 
are seeking comment on and not proposing, such as a low volume 
hospital policy could impact the Medicare savings estimate in 
magnitude, but we anticipate the direction of the Medicare savings 
to remain the same. Generally, Medicare savings estimates are based 
on the proposed policies to reflect the potential financial 
implications of the proposals and are not generally updated based on 
policies that are only soliciting comments. Therefore, TEAM's 
financial impact to the Medicare program remains unchanged from the 
FY 2025 IPPS/LTCH PPS final rule. While the Medicare savings 
estimate remains unchanged for TEAM, we note in section I.O. of this 
Appendix, that we assessed the potential financial impact of a low 
volume policy on the model. Further, we anticipate updating the 
Medicare savings estimate for the final rule to reflect actual TEAM 
participants participating in the model, inclusive of those 
hospitals that voluntarily opt into the model, and updated baseline 
spending assumptions. Additionally, should a policy that we 
considered become finalized, such as the low volume hospital policy, 
we anticipate we would update the Medicare savings estimate to 
reflect that policy as well.

b. Effects on the Medicare Beneficiaries

    We believe the refinements to TEAM proposed in this proposed 
rule would not materially alter the potential effects of the model 
on beneficiaries that we had initially indicated in the FY 2025 
IPPS/LTCH PPS final rule (89 FR 70028). We believe the majority of 
the changes would not alter the effects of the model on 
beneficiaries because the changes predominantly alter how hospitals 
interact with the model, rather than how beneficiaries receive care. 
However, we believe any changes proposed that may have a direct 
effect on TEAM beneficiaries are positive. In section XI.A.2.b.(3) 
of the preamble of this proposed rule that we are proposing to 
include the Information Transfer PRO-PM, specific to episodes 
initiated in the hospital outpatient department setting, in the 
quality measure set that would be tied to payment with the belief 
that doing so would encourage TEAM participants to focus on and 
deliver improved quality of care for Medicare beneficiaries. We also 
note in section XI.A.2.f. of the preamble of this proposed rule that 
we are proposing to allow TEAM participants to use the SNF 3-day 
rule waiver for TEAM beneficiaries discharged to hospitals and CAHs 
providing PAC under swing bed arrangements. This proposal would help 
improve beneficiary freedom of choice and access to care, such that 
beneficiaries in rural or underserved areas could receive PAC 
services closer their home.
    We welcome public comments on our impact of TEAM on Medicare 
beneficiaries.

H. Effects on Hospitals and Hospital Units Excluded From the IPPS

    As of January 2025, there were 91 children's hospitals, 11 
cancer hospitals, 6 short term acute care hospitals located in the 
Virgin Islands, Guam, the Northern Mariana Islands, and American 
Samoa, 1 extended neoplastic disease care hospital, and 9 RNHCIs 
being paid on a reasonable cost basis subject to the rate-of-
increase ceiling under Sec.  413.40. (In accordance with Sec.  
403.752(a) of the regulation, RNHCIs are paid under Sec.  413.40.) 
Among the remaining providers, the rehabilitation hospitals and 
units, and the LTCHs, are paid the Federal prospective per discharge 
rate under the IRF PPS and the LTCH PPS, respectively, and the 
psychiatric hospitals and units are paid the Federal per diem amount 
under the IPF PPS. As stated previously, IRFs and IPFs are not 
affected by the rate updates discussed in this proposed rule. The 
impacts of the changes on LTCHs are discussed in section I.J. of 
this appendix.
    For the children's hospitals, cancer hospitals, short-term acute 
care hospitals located in the Virgin Islands, Guam, the Northern 
Mariana Islands, and American Samoa, the extended neoplastic disease 
care hospital, and RNHCIs, the update of the rate-of-increase limit 
(or target amount) is the estimated proposed FY 2026 percentage 
increase in the proposed 2023-based IPPS operating market basket, 
consistent with section 1886(b)(3)(B)(ii) of the Act, and Sec. Sec.  
403.752(a) and 413.40 of the regulations. Consistent with current 
law, based on IGI's fourth quarter 2024 forecast of the proposed 
2023-based IPPS market basket increase, we are estimating the FY 
2026 update to be 3.2 percent (that is, the estimate of the market 
basket rate-of-increase), as discussed in section V.A. of the 
preamble of this proposed rule. We proposed that if more recent data 
become available for the final rule, we would use such data, if 
appropriate, to calculate the final IPPS operating market basket 
update for FY 2026. Section 1886(b)(3)(B)(xi)(I) of the Act requires 
a productivity adjustment (0.8 percentage point reduction proposed 
for FY 2026), resulting in a proposed 2.4 percent applicable 
percentage increase for IPPS hospitals that submit quality data and 
are meaningful EHR users, as discussed in section V.B. of the 
preamble of this proposed rule. Children's hospitals, cancer 
hospitals, short term acute care hospitals located in the Virgin 
Islands, Guam, the Northern Mariana Islands, and American Samoa, the 
extended neoplastic disease care hospital, and RNHCIs that continue 
to be paid based on reasonable costs subject to rate-of-increase 
limits under Sec.  413.40 of the regulations are not subject to the 
reductions in the applicable percentage increase required under 
section 1886(b)(3)(B)(xi)(I) of the Act. Therefore, for those 
hospitals paid under Sec.  413.40 of the regulations, the update is 
the percentage increase in the proposed 2023-based IPPS operating 
market basket for FY 2026, currently estimated at 3.2 percent.
    The impact of the update in the rate-of-increase limit on those 
excluded hospitals depends on the cumulative cost increases 
experienced by each excluded hospital since its applicable base 
period. For excluded hospitals that have maintained their cost 
increases at a level below the rate-of-increase limits since their 
base period, the major effect is on the level of incentive payments 
these excluded hospitals receive. Conversely, for excluded hospitals 
with cost increases above the cumulative update in their rate-of-
increase limits, the major effect is the amount of excess costs that 
would not be paid.
    We note that, under Sec.  413.40(d)(3), an excluded hospital 
that continues to be paid under the TEFRA system and whose costs 
exceed 110 percent of its rate-of-increase limit receives its rate-
of-increase limit plus the lesser of: (1) 50 percent of its 
reasonable costs in excess of 110 percent of the limit; or (2) 10 
percent of its limit. In addition, under the various provisions set 
forth in Sec.  413.40, hospitals can obtain payment adjustments for 
justifiable increases in operating costs that exceed the limit.

[[Page 18478]]

I. Effects of Changes in the Capital IPPS

1. General Considerations

    For the impact analysis presented in this section of this 
proposed rule, we used data from the December 2024 update of the FY 
2024 MedPAR file and the December 2024 update of the Provider-
Specific File (PSF) that was used for payment purposes. Although the 
analyses of the proposed changes to the capital prospective payment 
system do not incorporate cost data, we used the December 2024 
update of the most recently available hospital cost report data to 
categorize hospitals. Our analysis has several qualifications and 
uses the best data available, as described later in this section of 
this proposed rule.
    Due to the interdependent nature of the IPPS, it is very 
difficult to precisely quantify the impact associated with each 
proposed change. In addition, we draw upon various sources for the 
data used to categorize hospitals in the tables. In some cases (for 
instance, the number of beds), there is a fair degree of variation 
in the data from different sources. We have attempted to construct 
these variables with the best available sources overall. However, it 
is possible that some individual hospitals are placed in the wrong 
category.
    Using cases from the December 2024 update of the FY 2024 MedPAR 
file, we simulated payments under the capital IPPS for FY 2025 and 
the proposed payments for FY 2026 for a comparison of total payments 
per case. Short-term, acute care hospitals not paid under the 
general IPPS (for example, hospitals in Maryland) are excluded from 
the simulations.
    The methodology for determining a capital IPPS payment is set 
forth at Sec.  412.312. The basic methodology for calculating the 
capital IPPS payments in FY 2026 is as follows:

(Standard Federal rate) x (DRG weight) x (GAF) x (COLA for hospitals 
located in Alaska and Hawaii) x (1 + DSH adjustment factor + IME 
adjustment factor, if applicable).

    In addition to the other adjustments, hospitals may receive 
outlier payments for those cases that qualify under the threshold 
established for each fiscal year. We modeled payments for each 
hospital by multiplying the capital Federal rate by the geographic 
adjustment factor (GAF) and the hospital's case-mix. Then we added 
estimated payments for indirect medical education, disproportionate 
share, and outliers, if applicable. For purposes of this impact 
analysis, the model includes the following assumptions:
     The capital Federal rate was updated, beginning in FY 
1996, by an analytical framework that considers changes in the 
prices associated with capital-related costs and adjustments to 
account for forecast error, changes in the case-mix index, allowable 
changes in intensity, and other factors. As discussed in section 
III.A.1. of the Addendum to this proposed rule, the proposed update 
to the capital Federal rate is 2.6 percent for FY 2026.
     In addition to the proposed FY 2026 update factor, the 
proposed FY 2026 capital Federal rate was calculated based on a 
proposed GAF/DRG budget neutrality adjustment factor of 1.0121, a 
proposed budget neutrality factor for the 5-percent cap on wage 
index decreases policy and the proposed transition for the 
discontinuation of the low wage index hospital policy of 0.9927, and 
a proposed outlier adjustment factor of 0.9587.

2. Results

    We used the payment simulation model previously described in 
section I.I. of this Appendix to estimate the potential impact of 
the proposed changes for FY 2026 on total capital payments per case, 
using a universe of 3,038 hospitals. As previously described, the 
individual hospital payment parameters are taken from the best 
available data, including the December 2024 update of the FY 2024 
MedPAR file, the December 2024 update to the PSF, and the most 
recent available cost report data from the December 2024 update of 
HCRIS. In Table III, we present a comparison of estimated total 
payments per case for FY 2025 and estimated proposed total payments 
per case for FY 2026 based on the proposed FY 2026 payment policies. 
Column 2 shows estimates of payments per case under our model for FY 
2025. Column 3 shows estimates of proposed payments per case under 
our model for FY 2026. Column 4 shows the total proposed percentage 
change in payments from FY 2025 to FY 2026. The change represented 
in Column 4 includes the proposed 2.6 percent update to the capital 
Federal rate and other proposed changes in the adjustments to the 
capital Federal rate. The comparisons are provided by: (1) 
geographic location; (2) region; and (3) payment classification.
    The simulation results show that, on average, capital payments 
per case in FY 2026 are expected to increase 2.7 percent compared to 
capital payments per case in FY 2025. This expected increase is 
primarily due to the proposed 2.6 percent update to the capital 
Federal rate. In general, regional variations in estimated capital 
payments per case in FY 2026 as compared to capital payments per 
case in FY 2025 are primarily due to the proposed changes in GAFs, 
and are generally consistent with the projected changes in payments 
due to the proposed changes in the wage index (and proposed policies 
affecting the wage index), as shown in Table I in section I.F. of 
this appendix.
    The net impact of these proposed changes is an estimated 2.7 
percent increase in capital payments per case from FY 2025 to FY 
2026 for all hospitals (as shown in Table III). The geographic 
comparison shows that, on average, hospitals in both urban and rural 
classifications would experience an increase in capital IPPS 
payments per case in FY 2026 as compared to FY 2025. Capital IPPS 
payments per case would increase by an estimated 2.7 percent for 
hospitals in urban areas while payments to hospitals in rural areas 
would increase by 2.9 percent from FY 2025 to FY 2026. The primary 
factor contributing to the difference in the projected increase in 
capital IPPS payments per case for rural hospitals as compared to 
urban hospitals is the estimated increase in capital payments to 
rural hospitals due to the effect of proposed changes in the GAFs.
    The comparisons by region show that the change in capital 
payments per case from FY 2025 to FY 2026 for urban areas range from 
a 0.8 percent increase for the New England urban region to a 5.4 
percent increase for the West North Central urban region. Meanwhile, 
the change in capital payments per case from FY 2025 to FY 2026 for 
rural areas range from a 1.3 percent increase for the East North 
Central rural region to a 5.2 percent increase for the West North 
Central rural region. Capital IPPS payments per case for hospitals 
located in Puerto Rico are projected to remain constant. These 
regional differences are primarily due to the proposed changes in 
the GAFs.
    The comparison by hospital type of ownership (Voluntary, 
Proprietary, and Government) shows that voluntary hospitals as well 
as proprietary hospitals are expected to experience an increase in 
capital payments per case from FY 2025 to FY 2026 of 2.6 percent. 
Government hospitals are expected to experience an increase in 
capital payments per case from FY 2025 to FY 2026 of 3.1 percent.
    Section 1886(d)(10) of the Act established the MGCRB. Hospitals 
may apply for reclassification for purposes of the wage index for FY 
2026. Reclassification for wage index purposes also affects the GAFs 
because that factor is constructed from the hospital wage index. To 
present the effects of the hospitals being reclassified as of the 
publication of this proposed rule for FY 2026, we show the proposed 
average capital payments per case for reclassified hospitals for FY 
2026. Urban reclassified hospitals are expected to experience an 
increase in capital payments per case of 2.7 percent; urban 
nonreclassified hospitals are expected to experience an increase in 
capital payments of 2.6 percent. Rural reclassified hospitals as 
well as rural nonreclassified hospitals are expected to experience 
an increase in capital payments per case of 2.9 percent.

                                Table III--Comparison of Total Payments per Case
----------------------------------------------------------------------------------------------------------------
                                                                                Proposed average
  FY 2025 payments compared to proposed FY       Number of     Average FY 2025  FY 2026 payments/     Change
                2026 payments                    hospitals      payments/case         case
----------------------------------------------------------------------------------------------------------------
All Hospitals...............................           3,038             1,184             1,216             2.7
By Geographic Location:

[[Page 18479]]

 
    Urban hospitals.........................           2,369             1,217             1,250             2.7
    Rural hospitals.........................             669               815               839             2.9
Bed Size (Urban):
    0-99 beds...............................             643               903               933             3.3
    100-199 beds............................             675             1,015             1,038             2.3
    200-299 beds............................             405             1,115             1,141             2.3
    300-499 beds............................             393             1,213             1,244             2.6
    500 or more beds........................             251             1,451             1,494             3.0
Bed Size (Rural):
    0-49 beds...............................             320               677               697             3.0
    50-99 beds..............................             182               780               798             2.3
    100-149 beds............................              94               788               811             2.9
    150-199 beds............................              42               888               914             2.9
    200 or more beds........................              31               986             1,020             3.4
Urban by Region:
    New England.............................             104             1,317             1,327             0.8
    Middle Atlantic.........................             274             1,366             1,398             2.3
    East North Central......................             366             1,137             1,160             2.0
    West North Central......................             156             1,138             1,199             5.4
    South Atlantic..........................             393             1,073             1,096             2.1
    East South Central......................             142             1,002             1,042             4.0
    West South Central......................             352             1,102             1,139             3.4
    Mountain................................             180             1,220             1,258             3.1
    Pacific.................................             351             1,560             1,607             3.0
Rural by Region:
    New England.............................              19             1,075             1,119             4.1
    Middle Atlantic.........................              50               934               953             2.0
    East North Central......................             107               815               826             1.3
    West North Central......................              74               801               843             5.2
    South Atlantic..........................             108               747               766             2.5
    East South Central......................             128               733               757             3.3
    West South Central......................             118               722               740             2.5
    Mountain................................              41               864               900             4.2
    Pacific.................................              24             1,056             1,085             2.7
Puerto Rico:
    Puerto Rico Hospitals...................              51               608               608             0.0
By Payment Classification:
    Urban hospitals.........................           1,609             1,116             1,146             2.7
    Rural areas.............................           1,429             1,236             1,269             2.7
Teaching Status:
    Nonteaching.............................           1,765               964               989             2.6
    Fewer than 100 residents................             980             1,104             1,134             2.7
    100 or more residents...................             293             1,603             1,646             2.7
Urban DSH:
    Non-DSH.................................             334             1,006             1,036             3.0
    100 or more beds........................             916             1,159             1,190             2.7
    Less than 100 beds......................             359               829               851             2.7
Rural DSH:
    Non-DSH.................................              91             1,121             1,141             1.8
    SCH.....................................             231               840               866             3.1
    RRC.....................................             858             1,284             1,318             2.6
    100 or more beds........................              45             1,111             1,144             3.0
    Less than 100 beds......................             204               685               703             2.6
Urban teaching and DSH:
    Both teaching and DSH...................             531             1,219             1,253             2.8
    Teaching and no DSH.....................              54             1,065             1,092             2.5
    No teaching and DSH.....................             744             1,016             1,040             2.4
    No teaching and no DSH..................             280               972             1,004             3.3
Special Hospital Types:
    RRC.....................................             132               917               940             2.5
    RRC with Section 401 Rural                           649             1,337             1,371             2.5
     Reclassification.......................
    SCH.....................................             225               787               807             2.5
    SCH with Section 401 Rural                            38               970             1,001             3.2
     Reclassification.......................
    SCH and RRC.............................             116               886               914             3.2
    SCH and RRC with Section 401 Rural                    50             1,131             1,182             4.5
     Reclassification.......................
Type of Ownership:
    Voluntary...............................           1,903             1,185             1,216             2.6
    Proprietary.............................             723             1,095             1,123             2.6
    Government..............................             412             1,293             1,333             3.1
Medicare Utilization as a Percent of
 Inpatient Days:

[[Page 18480]]

 
    0-25....................................           1,543             1,251             1,288             3.0
    25-50...................................           1,400             1,120             1,146             2.3
    50-65...................................              65             1,105             1,130             2.3
    Over 65.................................              14               932               995             6.8
Medicaid Utilization as a Percent of
 Inpatient Days:
    0-25....................................           1,861             1,084             1,113             2.7
    25-50...................................           1,052             1,320             1,356             2.7
    50-65...................................              93             1,592             1,625             2.1
    Over 65.................................              31             1,357             1,380             1.7
FY 2026 Reclassifications:
    All Reclassified Hospitals..............           1,172             1,256             1,290             2.7
    Non-Reclassified Hospitals..............           1,866             1,088             1,117             2.7
    Urban Hospitals Reclassified............           1,011             1,282             1,317             2.7
    Urban Non-Reclassified Hospitals........           1,371             1,115             1,144             2.6
    Rural Hospitals Reclassified Full Year..             280               831               855             2.9
    Rural Non-Reclassified Hospitals Full                376               789               812             2.9
     Year...................................
    All Section 401 Rural Reclassified                   812             1,302             1,337             2.7
     Hospitals..............................
    Other Reclassified Hospitals (Section                 52               829               852             2.8
     1886(d)(8)(B)).........................
----------------------------------------------------------------------------------------------------------------

J. Effects of Proposed Payment Rate Changes and Policy Changes 
Under the LTCH PPS

1. Introduction and General Considerations

    In section XI. of the preamble of this proposed rule and section 
V. of the Addendum to this proposed rule, we set forth the proposed 
annual update to the payment rates for the LTCH PPS for FY 2026. In 
the preamble of this proposed rule, we specify the statutory 
authority for the proposals that are presented, identify the 
proposed policies for FY 2026, and present rationales for our 
proposals as well as alternatives that were considered. In this 
section, we discuss the impact of the proposed changes to the 
payment rate, factors, and other payment rate policies related to 
the LTCH PPS that are presented in the preamble of this proposed 
rule in terms of their estimated fiscal impact on the Medicare 
budget and on LTCHs.
    There are 328 LTCHs included in this impact analysis. We note 
that, although there are currently approximately 335 LTCHs, for 
purposes of this impact analysis, we excluded the data of all-
inclusive rate providers consistent with the development of the FY 
2026 MS-LTC-DRG relative weights (discussed in section XI.B.3. of 
the preamble of this proposed rule). Moreover, in the claims data 
used for this proposed rule, one of the 328 LTCHs included in our 
impact analysis only had claims for site neutral payment rate cases 
and, therefore, does not affect our impact analysis for LTCH PPS 
standard Federal payment rate cases presented in Table IV (that is, 
the impact analysis presented in Table IV is based on the data for 
327 LTCHs).
    In the impact analysis, we used the proposed payment rate, 
factors, and policies presented in this proposed rule, the proposed 
2.6 percent annual update to the LTCH PPS standard Federal payment 
rate, the proposed update to the MS-LTC-DRG classifications and 
relative weights, the proposed update to the wage index values and 
labor-related share, and the best available claims and CCR data to 
estimate the change in payments for FY 2026.
    Under the dual rate LTCH PPS payment structure, payment for LTCH 
discharges that meet the criteria for exclusion from the site 
neutral payment rate (that is, LTCH PPS standard Federal payment 
rate cases) is based on the LTCH PPS standard Federal payment rate. 
Consistent with the statute, the site neutral payment rate is the 
lower of the IPPS comparable per diem amount as determined under 
Sec.  412.529(d)(4), including any applicable outlier payments as 
specified in Sec.  412.525(a), reduced by 4.6 percent for FYs 2018 
through 2026; or 100 percent of the estimated cost of the case as 
determined under Sec.  412.529(d)(2). In addition, there are two 
separate high-cost outlier targets--one for LTCH PPS standard 
Federal payment rate cases and one for site neutral payment rate 
cases.
    Based on the best available data for the 328 LTCHs in our 
database that were considered in the analyses used for this proposed 
rule, we estimate that overall LTCH PPS payments in FY 2026 will 
increase by approximately 2.5 percent (or approximately $61 million) 
based on the proposed rates and factors presented in section XI. of 
the preamble and section V. of the Addendum to this proposed rule.
    Based on the FY 2024 LTCH cases that were used for the analysis 
in this proposed rule, approximately 10 percent of those cases were 
classified as site neutral payment rate cases (that is, 10 percent 
of LTCH cases would not meet the statutory patient-level criteria 
for exclusion from the site neutral payment rate). In section 
XI.B.3.b of the preamble, we outline how we considered the ending of 
the waiver of the application of the site neutral payment rate for 
LTCH cases under section 3711(b)(2) of the CARES Act when 
identifying site neutral payment rate cases based on the statutory 
patient criteria, admission date, and claim payment amounts. To 
estimate FY 2026 LTCH PPS payments for site neutral payment rate 
cases, we calculated the IPPS comparable per diem amounts using the 
proposed FY 2026 IPPS rates and factors along with other changes 
that would apply to the site neutral payment rate cases in FY 2026. 
We estimate that aggregate LTCH PPS payments for these site neutral 
payment rate cases will increase by approximately 8.5 percent (or 
approximately $9 million). This projected increase in payments to 
LTCH PPS site neutral payment rate cases is primarily due to the 
proposed updates to the IPPS rates and factors reflected in our 
estimate of the IPPS comparable per diem amount, as well as an 
increase in estimated costs for these cases determined using the 
proposed charge and CCR adjustment factors described in section 
V.D.3.b. of the Addendum to this proposed rule. We note that we 
estimate payments to site neutral payment rate cases in FY 2026 will 
represent approximately 4.5 percent of estimated aggregate FY 2026 
LTCH PPS payments.
    Based on the FY 2024 LTCH cases that were used for the analysis 
in this proposed rule, approximately 90 percent of LTCH cases will 
meet the patient-level criteria for exclusion from the site neutral 
payment rate in FY 2026, and will be paid based on the LTCH PPS 
standard Federal payment rate. We estimate that total LTCH PPS 
payments for these LTCH PPS standard Federal payment rate cases in 
FY 2026 will increase approximately 2.2 percent (or approximately 
$52 million). This estimated increase in LTCH PPS payments for LTCH 
PPS standard Federal payment rate cases in FY 2026 is primarily due 
to the proposed 2.6 percent annual update to the LTCH PPS standard 
Federal payment rate being partially offset by a projected 0.3 
percent decrease in high-cost outlier payments as a percentage of 
total LTCH PPS standard Federal payment rate payments, which is 
discussed later in this section.
    Based on the 328 LTCHs that were represented in the FY 2024 LTCH 
cases that were used for the analyses in this proposed rule 
presented in this appendix, we estimate that aggregate FY 2026 LTCH 
PPS payments will be approximately $2.558 billion, as compared to 
estimated aggregate FY 2025 LTCH PPS payments of approximately 
$2.497 billion, resulting in an estimated overall increase in LTCH 
PPS payments of

[[Page 18481]]

approximately $61 million. We note that the estimated $61 million 
increase in LTCH PPS payments in FY 2026 does not reflect changes in 
LTCH admissions or case-mix intensity, which will also affect the 
overall payment effects of the proposed policies in this proposed 
rule.
    The LTCH PPS standard Federal payment rate for FY 2025 is 
$49,383.26. For FY 2026, we are proposing to establish an LTCH PPS 
standard Federal payment rate of $50,728.77 which reflects the 
proposed 2.6 percent annual update to the LTCH PPS standard Federal 
payment rate and the proposed budget neutrality factor for updates 
to the area wage level adjustment of 1.0012146 (discussed in section 
V.B.6. of the Addendum to this proposed rule). For LTCHs that fail 
to submit data for the LTCH QRP, in accordance with section 
1886(m)(5)(C) of the Act, we are proposing to establish an LTCH PPS 
standard Federal payment rate of $49,739.90. This proposed LTCH PPS 
standard Federal payment rate reflects the proposed updates and 
factors previously described, as well as the required 2.0 percentage 
point reduction to the annual update for failure to submit data 
under the LTCH QRP.
    Table IV shows the estimated impact for LTCH PPS standard 
Federal payment rate cases. The estimated change attributable solely 
to the proposed annual update of 2.6 percent to the LTCH PPS 
standard Federal payment rate is projected to result in an increase 
of 2.5 percent in payments per discharge for LTCH PPS standard 
Federal payment rate cases from FY 2025 to FY 2026, on average, for 
all LTCHs (Column 6). The estimated increase of 2.5 percent shown in 
Column 6 of Table IV also includes estimated payments for short-stay 
outlier (SSO) cases, a portion of which are not affected by the 
annual update to the LTCH PPS standard Federal payment rate, as well 
as the reduction that is applied to the annual update for LTCHs that 
do not submit the required LTCH QRP data. For most hospital 
categories, the projected increase in payments based on the LTCH PPS 
standard Federal payment rate to LTCH PPS standard Federal payment 
rate cases also rounds to approximately 2.5 percent.
    For FY 2026, we are proposing to update the wage index values 
based on the most recent available data (data from cost reporting 
periods beginning during FY 2022 which is the same data used for the 
FY 2026 IPPS wage index). In addition, we are proposing to establish 
a labor-related share of 73.1 percent for FY 2026, based on the most 
recent available data (IGI's fourth quarter 2024 forecast) of the 
relative importance of the labor-related share of operating and 
capital costs of the 2022-based LTCH market basket. We also are 
proposing to apply an area wage level budget neutrality factor of 
1.0012146 to ensure that the proposed changes to the area wage level 
adjustment would not result in any change in estimated aggregate 
LTCH PPS payments to LTCH PPS standard Federal payment rate cases.
    For LTCH PPS standard Federal payment rate cases, we currently 
estimate high-cost outlier payments as a percentage of total LTCH 
PPS standard Federal payment rate payments will decrease from FY 
2025 to FY 2026. Based on the FY 2024 LTCH cases that were used for 
the analyses in this proposed rule, we estimate that the FY 2025 
high-cost outlier threshold of $77,048 (as established in the FY 
2025 IPPS/LTCH PPS final rule) will result in estimated high-cost 
outlier payments for LTCH PPS standard Federal payment rate cases in 
FY 2025 that are projected to exceed the 7.975 percent target. 
Specifically, we currently estimate that high-cost outlier payments 
for LTCH PPS standard Federal payment rate cases will be 
approximately 8.2 percent of the estimated total LTCH PPS standard 
Federal payment rate payments in FY 2025. Combined with our estimate 
that FY 2026 high-cost outlier payments for LTCH PPS standard 
Federal payment rate cases will be 7.975 percent of estimated total 
LTCH PPS standard Federal payment rate payments in FY 2026, this 
will result in an estimated decrease in high-cost outlier payments 
as a percentage of total LTCH PPS standard Federal payment rate 
payments of approximately 0.3 percent between FY 2025 and FY 2026. 
We note that, in calculating these estimated high-cost outlier 
payments, we inflated charges reported on the FY 2024 claims by the 
proposed charge inflation factor described in section V.D.3.b. of 
the Addendum to this proposed rule. We also note that, in 
calculating these estimated high-cost outlier payments, we estimated 
the cost of each case by multiplying the inflated charges by the 
adjusted CCRs that we determined using our proposed methodology 
described in section V.D.3.b. of the Addendum to this proposed rule.
    Table IV shows the estimated impact of the proposed payment rate 
and policy changes on LTCH PPS payments for LTCH PPS standard 
Federal payment rate cases for FY 2026 by comparing estimated FY 
2025 LTCH PPS payments to estimated FY 2026 LTCH PPS payments. (As 
noted earlier, our analysis does not reflect changes in LTCH 
admissions or case-mix intensity.) We note that these impacts do not 
include LTCH PPS site neutral payment rate cases as discussed in 
section I.J.3. of this appendix.
    As we discuss in detail throughout this proposed rule, based on 
the best available data, we believe that the provisions of this 
proposed rule relating to the LTCH PPS, which are projected to 
result in an overall increase in estimated aggregate LTCH PPS 
payments (for both LTCH PPS standard Federal payment rate cases and 
site neutral payment rate cases), and the resulting LTCH PPS payment 
amounts will result in appropriate Medicare payments that are 
consistent with the statute.

2. Impact on Rural Hospitals

    For purposes of section 1102(b) of the Act, we define a small 
rural hospital as a hospital that is located outside of an urban 
area and has fewer than 100 beds. As shown in Table IV, we are 
projecting a 2.5 percent increase in estimated payments for LTCH PPS 
standard Federal payment rate cases for LTCHs located in a rural 
area. This increase is primarily due to the combination of the 
proposed 2.6 percent annual update to the LTCH PPS standard Federal 
payment rate for FY 2026, the proposed changes to the area wage 
level adjustment, and estimated changes in outlier payments. This 
estimated impact is based on the FY 2024 data for the 17 rural LTCHs 
(out of 327 LTCHs) that were used for the impact analyses shown in 
Table IV.

3. Anticipated Effects of the Proposed LTCH PPS Payment Rate Changes 
and Policy Changes

a. Proposed Budgetary Impact

    Section 123(a)(1) of the BBRA requires that the PPS developed 
for LTCHs ``maintain budget neutrality.'' We believe that the 
statute's mandate for budget neutrality applies only to the first 
year of the implementation of the LTCH PPS (that is, FY 2003). 
Therefore, in calculating the FY 2003 standard Federal payment rate 
under Sec.  412.523(d)(2), we set total estimated payments for FY 
2003 under the LTCH PPS so that estimated aggregate payments under 
the LTCH PPS were estimated to equal the amount that would have been 
paid if the LTCH PPS had not been implemented.
    Section 1886(m)(6)(A) of the Act establishes a dual rate LTCH 
PPS payment structure with two distinct payment rates for LTCH 
discharges beginning in FY 2016. Under this statutory change, LTCH 
discharges that meet the patient-level criteria for exclusion from 
the site neutral payment rate (that is, LTCH PPS standard Federal 
payment rate cases) are paid based on the LTCH PPS standard Federal 
payment rate. LTCH discharges paid at the site neutral payment rate 
are generally paid the lower of the IPPS comparable per diem amount, 
reduced by 4.6 percent for FYs 2018 through 2026, including any 
applicable high-cost outlier (HCO) payments, or 100 percent of the 
estimated cost of the case, reduced by 4.6 percent.
    As discussed in section I.J.1. of this appendix, we project an 
increase in aggregate LTCH PPS payments in FY 2026 of approximately 
$61 million. This estimated increase in payments reflects the 
projected increase in payments to LTCH PPS standard Federal payment 
rate cases of approximately $52 million and the projected increase 
in payments to site neutral payment rate cases of approximately $9 
million under the dual rate LTCH PPS payment rate structure required 
by the statute beginning in FY 2016.
    Consistent with prior years, Table IV only reflects proposed 
changes in LTCH PPS payments for LTCH PPS standard Federal payment 
rate cases and, unless otherwise noted, the remaining discussion in 
section I.J.3. of this appendix refers only to the impact on LTCH 
PPS payments for LTCH PPS standard Federal payment rate cases. In 
the following section, we present our provider impact analysis for 
the proposed changes that affect LTCH PPS payments for LTCH PPS 
standard Federal payment rate cases.

b. Proposed Impact on Providers

    The basic methodology for determining a per discharge payment 
for LTCH PPS standard Federal payment rate cases is currently set 
forth under Sec. Sec.  412.515 through 412.533 and 412.535. In 
addition to adjusting the LTCH PPS standard Federal payment rate

[[Page 18482]]

by the MS-LTC-DRG relative weight, we make adjustments to account 
for area wage levels and SSOs. LTCHs located in Alaska and Hawaii 
also have their payments adjusted by a COLA. Under our application 
of the dual rate LTCH PPS payment structure, the LTCH PPS standard 
Federal payment rate is generally only used to determine payments 
for LTCH PPS standard Federal payment rate cases (that is, those 
LTCH PPS cases that meet the statutory criteria to be excluded from 
the site neutral payment rate). LTCH discharges that do not meet the 
patient-level criteria for exclusion are paid the site neutral 
payment rate, which we are calculating as the lower of the IPPS 
comparable per diem amount as determined under Sec.  412.529(d)(4), 
reduced by 4.6 percent for FYs 2018 through 2026, including any 
applicable outlier payments, or 100 percent of the estimated cost of 
the case as determined under existing Sec.  412.529(d)(2). In 
addition, when certain thresholds are met, LTCHs also receive HCO 
payments for both LTCH PPS standard Federal payment rate cases and 
site neutral payment rate cases that are paid at the IPPS comparable 
per diem amount.
    To understand the impact of the changes to the LTCH PPS payments 
for LTCH PPS standard Federal payment rate cases presented in this 
proposed rule on different categories of LTCHs for FY 2026, it is 
necessary to estimate payments per discharge for FY 2025 using the 
rates, factors, and the policies established in the FY 2025 IPPS/
LTCH PPS final rule and estimate payments per discharge for FY 2026 
using the proposed rates, factors, and the policies in this proposed 
rule (as discussed in section XI. of the preamble of this proposed 
rule and section V. of the Addendum to this proposed rule). As 
discussed elsewhere in this proposed rule, these estimates are based 
on the best available LTCH claims data and other factors, such as 
the application of inflation factors to estimate costs for HCO cases 
in each year. The resulting analyses can then be used to compare how 
our proposed policies applicable to LTCH PPS standard Federal 
payment rate cases affect different groups of LTCHs.
    For the following analysis, we group hospitals based on 
characteristics provided in the OSCAR data, cost report data in 
HCRIS, and PSF data. Hospital groups included the following:
     Location: large urban/other urban/rural.
     Ownership control.
     Census region.
     Bed size.

c. Proposed Calculation of LTCH PPS Payments for LTCH PPS Standard 
Federal Payment Rate Cases

    For purposes of this impact analysis, to estimate the per 
discharge payment effects of our policies on payments for LTCH PPS 
standard Federal payment rate cases, we simulated FY 2025 and 
proposed FY 2026 payments on a case-by-case basis using historical 
LTCH claims from the FY 2024 MedPAR files that met or would have met 
the criteria to be paid at the LTCH PPS standard Federal payment 
rate if the statutory patient-level criteria had been in effect at 
the time of discharge for all cases in the FY 2024 MedPAR files. For 
modeling FY 2025 LTCH PPS payments, we used the FY 2025 standard 
Federal payment rate of $49,383.26 (or $48,424.36 for LTCHs that 
failed to submit quality data as required under the requirements of 
the LTCH QRP). Similarly, for modeling payments based on the 
proposed FY 2026 LTCH PPS standard Federal payment rate, we used the 
proposed FY 2026 standard Federal payment rate of $50,728.77 (or 
$49,739.90 for LTCHs that failed to submit quality data as required 
under the requirements of the LTCH QRP). In each case, we applied 
the applicable proposed adjustments for area wage levels and the 
COLA for LTCHs located in Alaska and Hawaii. Specifically, for 
modeling FY 2025 LTCH PPS payments, we used the current FY 2025 
labor-related share (72.8 percent), the wage index values 
established in the Tables 12A and 12B listed in the Addendum to the 
FY 2025 IPPS/LTCH PPS final rule (which are available via the 
internet on the CMS website), the FY 2025 HCO fixed-loss amount for 
LTCH PPS standard Federal payment rate cases of $77,048 (as 
reflected in the FY 2025 IPPS/LTCH PPS final rule), and the FY 2025 
COLA factors (shown in the table in section V.C. of the Addendum to 
that final rule) to adjust the FY 2025 nonlabor-related share (27.2 
percent) for LTCHs located in Alaska and Hawaii.
    Similarly, for modeling proposed FY 2026 LTCH PPS payments, we 
used the proposed FY 2026 LTCH PPS labor-related share (73.1 
percent), the proposed FY 2026 wage index values from Tables 12A and 
12B listed in section VI. of the Addendum to this proposed rule 
(which are available via the internet on the CMS website), the 
proposed FY 2026 HCO fixed-loss amount for LTCH PPS standard Federal 
payment rate cases of $91,247 (as discussed in section V.D.3. of the 
Addendum to this proposed rule), and the proposed FY 2026 COLA 
factors (shown in the table in section V.C. of the Addendum to this 
proposed rule) to adjust the proposed FY 2026 nonlabor-related share 
(26.9 percent) for LTCHs located in Alaska and Hawaii. We note that 
in modeling payments for HCO cases for LTCH PPS standard Federal 
payment rate cases, we inflated charges reported on the FY 2024 
claims by the proposed charge inflation factors in section V.D.3.b. 
of the Addendum to this proposed rule. We also note that in modeling 
payments for HCO cases for LTCH PPS standard Federal payment rate 
cases, we estimated the cost of each case by multiplying the 
inflated charges by the adjusted CCRs that we determined using our 
proposed methodology described in section V.D.3.b. of the Addendum 
to this proposed rule.
    The impacts that follow reflect the estimated ``losses'' or 
``gains'' among the various classifications of LTCHs from FY 2025 to 
FY 2026 based on the payment rates and policy changes applicable to 
LTCH PPS standard Federal payment rate cases presented in this 
proposed rule. Table IV illustrates the estimated aggregate impact 
of the change in LTCH PPS payments for LTCH PPS standard Federal 
payment rate cases among various classifications of LTCHs. (As 
discussed previously, these impacts do not include LTCH PPS site 
neutral payment rate cases.)
     The first column, LTCH Classification, identifies the 
type of LTCH.
     The second column lists the number of LTCHs of each 
classification type.
     The third column identifies the number of LTCH cases 
expected to meet the LTCH PPS standard Federal payment rate 
criteria.
     The fourth column shows the estimated FY 2025 payment 
per discharge for LTCH cases expected to meet the LTCH PPS standard 
Federal payment rate criteria (as described previously).
     The fifth column shows the estimated proposed FY 2026 
payment per discharge for LTCH cases expected to meet the LTCH PPS 
standard Federal payment rate criteria (as described previously).
     The sixth column shows the percentage change in 
estimated payments per discharge for LTCH cases expected to meet the 
LTCH PPS standard Federal payment rate criteria from FY 2025 to FY 
2026 due to the proposed annual update to the standard Federal rate 
(as discussed in section V.A.2. of the Addendum to this proposed 
rule).
     The seventh column shows the percentage change in 
estimated payments per discharge for LTCH PPS standard Federal 
payment rate cases from FY 2025 to FY 2026 due to the proposed 
changes to the area wage level adjustment (that is, the proposed 
updated hospital wage data and the proposed labor-related share) and 
the application of the corresponding proposed budget neutrality 
factor (as discussed in section V.B.6. of the Addendum to this 
proposed rule).
     The eighth column shows the percentage change in 
estimated payments per discharge for LTCH PPS standard Federal 
payment rate cases from FY 2025 (Column 4) to FY 2026 (Column 5) due 
to all proposed changes.

[[Page 18483]]



     Table IV--Impact of Proposed Payment Rate and Policy Changes to LTCH PPS Payments for LTCH PPS Standard Federal Payment Rate Cases for FY 2026
                                           [Estimated FY 2025 payments compared to estimated FY 2026 payments]
--------------------------------------------------------------------------------------------------------------------------------------------------------
                                                                                                           Change due to  Percent change
                                                                            Average FY      Average FY     change to the  due to changes  Percent change
                                                          Number of LTCH   2025 LTCH PPS   2026 LTCH PPS   annual update   to area wage     due to all
           LTCH classification               Number of     PPS standard     payment per     payment per       to the        adjustment       standard
                                               LTCHS       payment rate      standard        standard        standard        with wage     payment rate
                                                               cases       payment rate    payment rate    federal rate       budget        changes \4\
                                                                                                \1\             \2\       neutrality \3\
(1)                                                  (2)             (3)             (4)             (5)             (6)             (7)             (8)
--------------------------------------------------------------------------------------------------------------------------------------------------------
ALL PROVIDERS...........................             327          42,992          55,618          56,837             2.5             0.0             2.2
BY LOCATION:
    RURAL...............................              17           1,323          44,169          45,270             2.5            -0.1             2.5
    URBAN...............................             310          41,669          55,981          57,205             2.5             0.0             2.2
BY OWNERSHIP TYPE:
    VOLUNTARY...........................              53           4,983          59,899          61,587             2.5             0.5             2.8
    PROPRIETARY.........................             266          37,470          54,809          55,965             2.5            -0.1             2.1
    GOVERNMENT..........................               8             539          72,250          73,546             2.5            -0.7             1.8
BY REGION:
    NEW ENGLAND.........................              10           1,329          49,702          50,751             2.6             0.8             2.1
    MIDDLE ATLANTIC.....................              20           2,966          64,256          66,532             2.5             0.6             3.5
    SOUTH ATLANTIC......................              60           9,344          53,734          55,030             2.5             0.4             2.4
    EAST NORTH CENTRAL..................              46           5,386          57,031          58,624             2.5             0.4             2.8
    EAST SOUTH CENTRAL..................              32           3,243          49,350          50,806             2.5             0.6             3.0
    WEST NORTH CENTRAL..................              21           2,342          51,228          52,866             2.5             1.2             3.2
    WEST SOUTH CENTRAL..................              90          10,535          49,783          50,363             2.5            -0.7             1.2
    MOUNTAIN............................              25           2,113          57,008          57,910             2.5            -0.5             1.6
    PACIFIC.............................              23           5,734          69,810          71,030             2.4            -0.8             1.7
BY BED SIZE:
    BEDS: 0-24..........................              36           2,096          54,340          55,256             2.5            -0.1             1.7
    BEDS: 25-49.........................             152          16,712          49,714          50,809             2.5             0.2             2.2
    BEDS: 50-74.........................              75          10,521          56,893          58,344             2.5             0.2             2.6
    BEDS: 75-124........................              44           8,407          63,364          64,759             2.5            -0.2             2.2
    BEDS: 125+..........................              20           5,256          59,958          60,946             2.5            -0.4             1.6
--------------------------------------------------------------------------------------------------------------------------------------------------------
\1\ Estimated FY 2026 LTCH PPS payments for LTCH PPS standard Federal payment rate criteria based on the proposed payment rate and factor changes
  applicable to such cases presented in the preamble of and the Addendum to this proposed rule.
\2\ Percent change in estimated payments per discharge for LTCH PPS standard Federal payment rate cases from FY 2025 to FY 2026 due to the proposed
  annual update to the LTCH PPS standard Federal payment rate.
\3\ Percent change in estimated payments per discharge for LTCH PPS standard Federal payment rate cases from FY 2025 to FY 2026 due to the proposed
  changes to the area wage level adjustment under Sec.   412.525(c) (that is, the proposed updated hospital wage data and the proposed labor-related
  share) with budget neutrality.
\4\ Percent change in estimated payments per discharge for LTCH PPS standard Federal payment rate cases from FY 2025 (shown in Column 4) to FY 2026
  (shown in Column 5), due to all of the proposed changes to the rates and factors applicable to such cases presented in the preamble and the Addendum
  to this proposed rule. We note that this column, which shows the percent change in estimated payments per discharge due to all proposed changes, does
  not equal the sum of the percent changes in estimated payments per discharge due to the proposed annual update to the LTCH PPS standard Federal
  payment rate (Column 6) and due to the proposed changes to the area wage level adjustment with budget neutrality (Column 7) due to the effect of
  estimated changes in estimated payments to aggregate HCO payments for LTCH PPS standard Federal payment rate cases (as discussed in this impact
  analysis), as well as other interactive effects that cannot be isolated.

d. Results

    Based on the FY 2024 LTCH cases (from 327 LTCHs) that were used 
for the analyses in this proposed rule, we have prepared the 
following summary of the impact (as shown in Table IV) of the 
proposed LTCH PPS payment rate and policy changes for LTCH PPS 
standard Federal payment rate cases presented in this proposed rule. 
The impact analysis in Table IV shows that estimated payments per 
discharge for LTCH PPS standard Federal payment rate cases are 
projected to increase 2.2 percent, on average, for all LTCHs from FY 
2025 to FY 2026 as a result of the proposed payment rate and policy 
changes applicable to LTCH PPS standard Federal payment rate cases 
presented in this proposed rule. This estimated 2.2 percent increase 
in LTCH PPS payments per discharge was determined by comparing 
estimated FY 2026 LTCH PPS payments (using the proposed payment 
rates and factors discussed in this proposed rule) to estimated FY 
2025 LTCH PPS payments for LTCH discharges which will be LTCH PPS 
standard Federal payment rate cases if the dual rate LTCH PPS 
payment structure was or had been in effect at the time of the 
discharge (as described in section I.J.3. of this appendix).
    As stated previously, we are proposing an annual update to the 
LTCH PPS standard Federal payment rate for FY 2026 of 2.6 percent. 
For LTCHs that fail to submit quality data under the requirements of 
the LTCH QRP, as required by section 1886(m)(5)(C) of the Act, a 2.0 
percentage point reduction is applied to the annual update to the 
LTCH PPS standard Federal payment rate. Consistent with Sec.  
412.523(d)(4), we also are applying a proposed budget neutrality 
factor for changes to the area wage level adjustment of 1.0012146 
(discussed in section V.B.6. of the Addendum to this proposed rule), 
based on the best available data at this time, to ensure that any 
proposed changes to the area wage level adjustment will not result 
in any change (increase or decrease) in estimated aggregate LTCH PPS 
standard Federal payment rate payments. As we also explained earlier 
in this section of the proposed rule, for most categories of LTCHs 
(as shown in Table IV, Column 6), the estimated payment increase due 
to the proposed 2.6 percent annual update to the LTCH PPS standard 
Federal payment rate is projected to result in approximately a 2.5 
percent increase in estimated payments per discharge for LTCH PPS 
standard Federal payment rate cases for all LTCHs from FY 2025 to FY 
2026. We note our estimate of the changes in payments due to the 
proposed update to the LTCH PPS standard Federal payment rate also 
includes estimated payments for SSO cases, a portion of which are 
not affected by the annual update to the LTCH PPS standard Federal 
payment rate, as well as the reduction that is applied to the annual 
update for LTCHs that do not submit data under the requirements of 
the LTCH QRP.

(1) Location

    Based on the most recent available data, the vast majority of 
LTCHs are located in urban areas. Only approximately 5 percent of 
the LTCHs are identified as being located in a rural area, and 
approximately 3 percent of all LTCH PPS standard Federal payment 
rate cases are expected to be treated in these rural hospitals. The 
impact analysis presented in Table IV shows that the overall average 
percent increase in estimated payments per

[[Page 18484]]

discharge for LTCH PPS standard Federal payment rate cases from FY 
2025 to FY 2026 for all hospitals is 2.2 percent. Urban LTCHs are 
projected to experience an increase of 2.2 percent. Meanwhile, rural 
LTCHs are projected to experience an increase of 2.5 percent.

(2) Ownership Control

    LTCHs are grouped into three categories based on ownership 
control type: voluntary, proprietary, and government. Based on the 
best available data, approximately 16 percent of LTCHs are 
identified as voluntary (Table IV). The majority (approximately 81 
percent) of LTCHs are identified as proprietary, while government 
owned and operated LTCHs represent approximately 3 percent of LTCHs. 
Based on ownership type, proprietary LTCHs are expected to 
experience an increase in payments to LTCH PPS standard Federal 
payment rate cases of 2.1 percent. Voluntary LTCHs are expected to 
experience an increase in payments to LTCH PPS standard Federal 
payment rate cases from FY 2025 to FY 2026 of 2.8 percent. 
Government owned and operated LTCHs are expected to experience an 
increase in payments to LTCH PPS standard Federal payment rate cases 
from FY 2025 to FY 2026 of 1.8 percent.

(3) Census Region

    The comparisons by region show that the changes in estimated 
payments per discharge for LTCH PPS standard Federal payment rate 
cases from FY 2025 to FY 2026 are projected an increase from 1.2 
percent in the West South Central region to 3.5 percent in the 
Middle Atlantic region. These regional variations are primarily due 
to the proposed changes to the area wage adjustment and estimated 
changes in outlier payments.

(4) Bed Size

    LTCHs are grouped into five categories based on bed size: 0-24 
beds; 25-49 beds; 50-74 beds; 75-124 beds; and greater than 125 
beds. We project that LTCHs with 50-74 beds will experience the 
largest increase in payments with 2.6 percent. The remaining bed 
size categories are projected to experience an increase in payments 
in the range of 1.6 to 2.2 percent.

4. Effect on the Medicare Program

    As stated previously, we project that the provisions of this 
proposed rule will result in an increase in estimated aggregate LTCH 
PPS payments to LTCH PPS standard Federal payment rate cases in FY 
2026 relative to FY 2025 of approximately $52 million (or 
approximately 2.2 percent) for the 328 LTCHs in our database. 
Although, as stated previously, the hospital-level impacts do not 
include LTCH PPS site neutral payment rate cases, we estimate that 
the provisions of this proposed rule will result in an increase in 
estimated aggregate LTCH PPS payments to site neutral payment rate 
cases in FY 2026 relative to FY 2025 of approximately $9 million (or 
approximately 8.5 percent) for the 328 LTCHs in our database. (As 
noted previously, we estimate payments to site neutral payment rate 
cases in FY 2026 will represent approximately 4.5 percent of total 
estimated FY 2026 LTCH PPS payments.) Therefore, we project that the 
provisions of this proposed rule will result in an increase in 
estimated aggregate LTCH PPS payments for all LTCH cases in FY 2026 
relative to FY 2025 of approximately $61 million (or approximately 
2.5 percent) for the 328 LTCHs in our database.

5. Effect on Medicare Beneficiaries

    Under the LTCH PPS, hospitals receive payment based on the 
average resources consumed by patients for each diagnosis. We do not 
expect any changes in the quality of care or access to services for 
Medicare beneficiaries as a result of this proposed rule, but we 
continue to expect that paying prospectively for LTCH services will 
enhance the efficiency of the Medicare program. As discussed 
previously, we do not expect the continued implementation of the 
site neutral payment system to have a negative impact on access to 
or quality of care, as demonstrated in areas where there is little 
or no LTCH presence, general short-term acute care hospitals are 
effectively providing treatment for the same types of patients that 
are treated in LTCHs.

K. Effects of Proposed Requirements for the Hospital Inpatient 
Quality Reporting (IQR) Program

    In sections X.C.3., X.C.4, and X.C.7. of the preamble of this 
proposed rule, we discuss the proposed requirements for hospitals 
reporting quality data under the Hospital IQR Program to receive the 
full annual percentage increase for the FY 2028 payment 
determination and subsequent years.
    In the preamble of this proposed rule, we propose: (1) to modify 
the Hospital 30-Day, All-Cause, Risk-Standardized Mortality Rate 
(RSMR) Following Acute Ischemic Stroke Hospitalization claims-based 
measure, beginning with the FY 2027 payment determination, 
associated with a July 1, 2023-June 30, 2025, performance period; 
(2) to modify the Hospital-Level, Risk-Standardized Complication 
Rate (RSCR) Following Elective Primary Total Hip Arthroplasty (THA) 
and/or Total Knee Arthroplasty (TKA) claims-based measure beginning 
with the FY 2027 payment determination, associated with the April 1, 
2023-March 31, 2025, performance period; (3) to modify the reporting 
requirements of the Hybrid Hospital-Wide Readmission (HWR) measure 
beginning with the FY 2028 payment determination, associated with a 
July 1, 2025-June 30, 2026, performance period; (4) to modify the 
reporting requirements of the Hybrid Hospital-Wide Mortality (HWM) 
measure beginning with the FY 2028 payment determination, associated 
with a July 1, 2025-June 30, 2026, performance period; (5) to remove 
the Hospital Commitment to Health Equity measure beginning with the 
CY 2024 reporting period/FY 2026 payment determination; (6) to 
remove the COVID-19 Vaccination Coverage among Healthcare Personnel 
(HCP) measure beginning with the CY 2024 reporting period/FY 2026 
payment determination; (7) to remove the Screening for Social 
Drivers of Health measure beginning with the CY 2024 reporting 
period/FY 2026 payment determination; and (8) to remove the Screen 
Positive Rate for Social Drivers of Health measure beginning with 
the CY 2024 reporting period/FY 2026 payment determination.
    As shown in the summary tables in section XIII.B.4.h. of the 
preamble of this proposed rule, we estimate a decrease of 627,027 
hours at a savings of $16,116,129 in information collection burden 
associated with the proposed policies compared to the currently 
approved information collection burden estimates under OMB control 
number 0938-1022 (expiration date January 31, 2026). We also 
estimate a decrease of between 24,400 hours at a savings of 
$1,378,600 and 27,450 hours at a savings of $1,608,570 in 
information collection burden associated with the proposed policies 
compared to the currently approved information collection burden 
estimates and under OMB control number 0920-1317 (expiration date 
January 31, 2028).
    In section X.C.7. of the preamble of this proposed rule, we 
propose to modify reporting requirements of the Hybrid HWR and HWM 
measures beginning with the FY 2028 payment determination. This 
modification would lower the submission thresholds for both the 
Hybrid HWR and HWM measures to allow for up to two missing 
laboratory results and up to two missing vital signs, reduce the 
core clinical data elements (CCDEs) submission requirement to 70 
percent or more of discharges, and reduce the submission requirement 
of linking variables to 70 percent or more of discharges. While we 
are unable to quantify the associated impact, we believe these 
modifications would result in reducing the overall administrative 
burden required by hospitals to report these measures.
    Regarding the remaining proposals, we do not anticipate any of 
these proposals would result in any additional economic impact 
beyond those discussed in section XIII.B.4. of the preamble of this 
proposed rule (Collection of Information).
    Historically, 100 hospitals, on average, that participate in the 
Hospital IQR Program do not receive the full annual percentage 
increase in any fiscal year due to the failure to meet all 
requirements of the Hospital IQR Program. We anticipate that the 
number of hospitals not receiving the full annual percentage 
increase will be approximately the same as in past years based on 
review of previous performance.

L. Effects of New Proposed Requirements for the PPS-Exempt Cancer 
Hospital Quality Reporting (PCHQR) Program

    In section X.D. of the preamble of this proposed rule, we 
discuss proposed requirements for PPS-exempt cancer hospitals (PCHs) 
reporting quality data under the PCH Quality Reporting (PCHQR) 
Program. The PCHQR Program is authorized under section 1866(k) of 
the Act. There is no financial impact to PCH Medicare reimbursement 
if a PCH does not submit data.
    In the preamble of this proposed rule, we proposed: (1) to 
remove the Hospital Commitment to Health Equity measure beginning 
with the CY 2024 reporting period/FY 2026 payment determination; (2) 
to remove the Screening for Social Drivers of Health measure 
beginning with the CY 2024

[[Page 18485]]

reporting period/FY 2026 payment determination; and (3) to remove 
the Screen Positive Rate for Social Drivers of Health measure 
beginning with the CY 2024 reporting period/FY 2026 payment 
determination. We also proposed to modify the public reporting 
requirements to allow for public reporting of the PCHQR Program on 
the Care Compare tool on Medicare.gov or a successor website in 
addition to current publication in the Provider Data Catalog.
    As shown in the summary tables in section XIII.B.5.f. of the 
preamble of this proposed rule, we estimate a decrease of 107 hours 
at a savings of $2,921 in information collection burden associated 
with the proposed policies compared to the currently approved 
information collection burden estimates under OMB control number 
0938-1175 (expiration date November 30, 2027). We do not believe any 
of these proposals would result in any additional economic impact 
beyond those discussed in section XIII.B.5. of the preamble of this 
proposed rule (Collection of Information).

M. Effects of Proposed Requirements for the Long-Term Care Hospital 
Quality Reporting Program (LTCH QRP)

    In section X.E.3 of the preamble of this proposed rule, we are 
proposing to modify reporting requirements for the COVID-19 Vaccine: 
Percent of Patients/Residents Who are Up to Date measure to exclude 
patients who have expired in the LTCH beginning on October 1, 2026, 
for the FY 2028 LTCH QRP. In section X.E.4 of the preamble of this 
proposed rule, we are proposing to remove four standardized patient 
assessment data elements collected under the SDOH category from the 
LTCH QRP beginning with the FY 2028 LTCH QRP. Additionally, we 
propose to amend our reconsideration policy and process as described 
in section X.E.5 of the preamble of this proposed rule. Finally, in 
sections X.E.6 through X.E.8 of the preamble of this proposed rule, 
we seek public comment on several Requests for Information (RFIs), 
specifically: (1) future measure concepts for the LTCH QRP; (2) 
revisions to the data submission deadlines for assessment data 
collected for the LTCH QRP; and (3) advancing digital quality 
measurement (dQM) in the LTCH QRP.
    The effect of these proposals for the LTCH QRP would be an 
overall decrease in burden for LTCHs participating in the LTCH QRP.
    For the FY 2026 LTCH QRP, we estimate an increase in burden 
related to the proposal to amend the reconsideration request policy 
and process, as described in section X.E.4. of the preamble of this 
proposed rule. For LTCHs that seek to file an extension to file a 
request for reconsideration of a noncompliance determination, we 
estimate that this form will take LTCHs approximately 15 minutes to 
complete. We believe that this data would be entered by medical 
records specialists. However, LTCHs determine the staffing resources 
necessary.
    For the purposes of calculating the costs we obtained median 
hourly wages from the U.S. Bureau of Labor Statistics' (BLS) May 
2023 National Occupational Employment and Wage Estimates.\2\ To 
account for overhead and fringe benefits, we have doubled the hourly 
wage. These amounts are detailed in Table I.M.-01.

Table I.M.-01--U.S. Bureau of Labor and Statistics' May 2023 National Occupational Employment and Wage Estimates
----------------------------------------------------------------------------------------------------------------
                                                                                 Other indirect
                                                                Median hourly      costs and         Adjusted
              Occupation title                Occupation code    wage  ($/hr)    fringe benefit  hourly wage  ($/
                                                                                     ($/hr)            hr)
----------------------------------------------------------------------------------------------------------------
Medical Records Specialists.................         29-2072           $23.45           $23.45           $46.90
----------------------------------------------------------------------------------------------------------------

    We estimate that the collection of this form will result in an 
additional 15 minutes, or 0.25 hours, per form. Based on the number 
of reconsiderations requests we have received in the previous 3 
years, we estimate an average of 16 forms per year, for an 
additional 4 hours per year (0.25 hours x 16 forms per year) for all 
LTCHs. Given an estimated $46.90 hourly wage, we estimate an 
increase of $187.60 (4 hours x $46.90) for all LTCHs annually or 
$0.57 per LTCHs that submit reconsiderations.
    For the FY 2028 LTCH QRP, as shown in summary table XII.B-09 in 
section XII.B.6. of the preamble of this proposed rule, we estimate 
a total information collection burden decrease for 330 eligible 
LTCHs of 7.98 hours per LTCH, or 2,633.51 hours for all LTCHs, for a 
total cost decrease of approximately -$180,016.80, or $545.51 per 
LTCH annually associated with our proposed policies and updated 
burden estimates for the FY 2028 program year compared to our 
currently approved information collection burden estimates. We refer 
readers to section XII.B.6. of the preamble of this proposed rule, 
where CMS has provided an estimate of the burden and cost to LTCHs, 
and note that it will be included in a revised information 
collection request for 0938-1163.

N. Effects of Requirements Regarding the Medicare Promoting 
Interoperability Program

    In section X.F. of the preamble of this proposed rule, we 
discuss proposed requirements for eligible hospitals and critical 
access hospitals (CAHs) to report objectives and measures and 
electronic Clinical Quality Measures (eCQMs) under the Medicare 
Promoting Interoperability Program.
    In the preamble of this proposed rule, we proposed to: (1) adopt 
a new optional bonus measure under the Public Health and Clinical 
Data Exchange objective for health information exchange to a public 
health agency (PHA) that occurs using the Trusted Exchange Framework 
and Common Agreement (TEFCA), and where the eligible hospital or CAH 
meets certain additional requirements, beginning with the electronic 
health record (EHR) reporting period in CY 2026; (2) modify the 
Safety Assurance Factors for Electronic Health Record Resilience 
(SAFER) Guides measure by requiring eligible hospitals and CAHs to 
attest ``yes'' to completing an annual self-assessment using the 
SAFER Guides published in January 2025 beginning with the EHR 
reporting period in CY 2026; (3) modify the Security Risk Analysis 
measure by adding a requirement for eligible hospitals and CAHs to 
attest ``yes'' to having conducted security risk management as 
required under the HIPAA Security Rule beginning with the EHR 
reporting period in CY 2026; and (4) define the EHR reporting period 
in CY 2026 and subsequent years as a minimum of any continuous 180-
day period within that CY for eligible hospitals and CAHs 
participating in the Medicare Promoting Interoperability Program and 
to make corresponding revisions at 42 CFR 495.4.
    As discussed in section XIII.B.7. of the preamble of this 
proposed rule, we estimate no change in information collection 
burden associated with our proposed policies and updated burden 
estimates for the EHR reporting period in CY 2026 and future years 
compared to our currently approved information collection burden 
estimates. We refer readers to section XIII.B.7. of the preamble of 
this proposed rule (Collection of Information) for a detailed 
discussion of the calculations estimating the changes to the 
information collection burden for submitting data to the Medicare 
Promoting Interoperability Program.
    In section X.F.5. of the preamble of this proposed rule, we 
propose to adopt a new optional bonus measure under the Public 
Health and Clinical Data Exchange objective for health information 
exchange to a PHA that occurs using TEFCA, and where the eligible 
hospital or CAH meets certain additional requirements, beginning 
with the EHR reporting period in CY 2026. For eligible hospitals and 
CAHs that already report health information to a PHA using TEFCA, 
there will be no additional economic impacts if they elect to 
voluntarily attest to this optional bonus measure. For eligible 
hospitals and CAHs that are currently using another means for 
reporting data to a PHA and desire to attest to this optional bonus 
measure, there will be some non-recurring costs associated with the 
transition. In addition, eligible hospitals and CAHs may also incur 
some recurring costs associated with TEFCA connectivity depending on 
the nature of their agreement with the health IT vendors through 
which they participate in TEFCA. However, because each eligible

[[Page 18486]]

hospital, CAH, and health IT vendor is unique and we lack sufficient 
insight into the individual decisions of each, the extent of these 
costs is difficult to quantify.
    In section X.F.4. of the preamble of this proposed rule, we 
propose to modify the SAFER Guides measure by requiring eligible 
hospitals and CAHs to attest ``yes'' to completing an annual self-
assessment using the SAFER Guides that ASTP published in January 
2025 beginning with the EHR reporting period in CY 2026. We do not 
believe this provision results in any additional economic impacts 
beyond those previously discussed in the FY 2022 IPPS/LTCH PPS and 
FY 2024 IPPS/LTCH PPS final rules (86 FR 45609 and 88 FR 59432 
through 59433, respectively).
    In section X.F.3. of the preamble of this proposed rule, we 
propose to modify the Security Risk Analysis measure to require 
eligible hospitals and CAHs to attest ``yes'' to having conducted 
security risk management as required under the HIPAA Security Rule 
at 45 CFR 164.308(a)(1)(ii)(B) beginning with the EHR reporting 
period in CY 2026. While we are proposing to require eligible 
hospitals and CAHs to attest ``yes'' to having conducted security 
risk management, the costs associated with performing security risk 
management required under the HIPAA Security Rule are currently 
approved under OMB control number 0945-0003 (expiration date July 
31, 2027). We do not believe this provision results in any 
additional economic impacts.
    We do not believe the remaining provision results in any 
additional economic impact beyond those discussed in section 
XIII.B.7. of the preamble of this proposed rule (Collection of 
Information).

O. Alternatives Considered

    This proposed rule contains a range of policies. It also 
provides descriptions of the statutory provisions that are 
addressed, identifies the proposed policies, and presents rationales 
for our decisions and, where relevant, alternatives that were 
considered.

1. Alternatives Considered to the LTCH QRP Reporting Requirements

    Regarding the proposal to remove item O0350, Patient's COVID-19 
vaccination is up to date, on the LCDS with respect to patients who 
have expired in the LTCH, we believe this is responsive to LTCHs 
concerns and will help reduce assessment collection burden. We 
considered the alternative of continuing to collect this item with 
respect to patients who have expired in the LTCH but given the 
concerns from LTCHs and other interested parties about data 
collection challenges and increased provider burden in collecting 
immunization data, we believe maintaining this item is unwarranted. 
Regarding our proposal to remove four SDOH standardized patient 
assessment data elements, we considered keeping these items but 
decided not to because of the burden associated with these items at 
this time.
    Regarding the proposal to amend the process by which an LTCH may 
request an extension to file a reconsideration request if the LTCH 
was affected by an extraordinary circumstance beyond the control of 
the LTCH, we considered the alternative of leaving the policy 
language unchanged. However, we found it important to clarify the 
definition of ``extraordinary'' and the process for requesting an 
extension to file a reconsideration request, we believe these 
proposals are responsive to providers' feedback.

2. Alternatives Considered for the Transforming Episode Accountability 
Model

    In section XI.A. of the preamble of this proposed rule, we 
discuss the mandatory episode-based payment model called the 
Transforming Episode Accountability Model (TEAM). TEAM is designed 
to improve beneficiary care through financial accountability for 
episodes categories that begin with one of the following procedures: 
coronary artery bypass graft, lower extremity joint replacement, 
major bowel procedure, surgical hip/femur fracture treatment, and 
spinal fusion. TEAM will test whether financial accountability for 
these episode categories reduces Medicare expenditures while 
preserving or enhancing the quality of care for Medicare 
beneficiaries. We anticipate that TEAM would benefit Medicare 
beneficiaries through improving the coordination of items and 
services paid for through Medicare FFS payments, encouraging 
provider investment in health care infrastructure and redesigned 
care processes, and incentivizing higher value care across the 
inpatient and post-acute care settings for the episode.
    Throughout this proposed rule, we have identified our proposed 
policies and alternatives that we have considered and provided 
information as to the effects of these alternatives and the 
rationale for each of the proposed policies. For example, we 
considered requiring new acute care hospitals that open in a 
mandatory core-based statistical areas (CBSA) to immediately 
participate in TEAM. However, we are concerned that requiring 
immediate participation while they are establishing their clinical 
and operational practices could make it challenging for new acute 
care hospitals to participate in the model.
    We also considered multiple approaches to a low volume hospital 
policy, as discussed in section XI.A.2.c.(8) of the preamble of this 
proposed rule. While we have not proposed a low volume hospital 
policy, we recognize including a low volume hospital policy in TEAM 
would have a financial impact to TEAM's ability to save Medicare 
money. This is because all the options considered give some 
financial protection to the low volume hospital. We assessed the 
financial impact to TEAM by modeling the option that would result in 
the most cost to Medicare, specifically the option that would waive 
downside financial risk at the episode category level for TEAM 
participants that did not initiate at least 31 episodes in the 
baseline period. Using 2023 as a performance year and 2019-2021 as a 
baseline period, we simulated reconciliation results for the 
hospitals required to participate in TEAM. We found that applying a 
low volume policy where downside risk was waived for approximately 
1.75% of the episodes in the model resulted in approximately $10.7 
million in repayment amounts being waived. We also found that $5.8 
million of the $10.7 million in repayment amounts were associated 
with safety net hospitals, that are already eligible to have 
downside risk waived if they choose to participate in Track 1 of the 
model. We note that our Medicare savings estimates from the FY 2025 
IPPS/LTCH PPS final rule (89 FR 70026), that estimated a $481 
million savings to Medicare, already assumed TEAM participants that 
are considered safety net hospitals, as defined at Sec.  512.505, 
would have downside risk waived for the first three performance 
years of the model. Therefore, we anticipate the inclusion of a 
potential low volume hospital policy in TEAM would slightly reduce 
Medicare savings but would still yield overall positive savings to 
Medicare.
    We solicit and welcome comments on our proposals, on the 
alternatives we have identified, and on other alternatives that we 
should consider.

P. Overall Conclusion

1. Acute Care Hospitals

    Acute care hospitals are estimated to experience an increase of 
approximately $4.0 billion in FY 2026, including operating, capital, 
and the effects of (1) new technology add-on payment changes, (2) 
the proposed changes to estimated uncompensated care payments and 
(3) the statutory expiration of the MDH program and the temporary 
changes to the low-volume hospital payment adjustment on October 1, 
2025. The estimated change in operating payments and uncompensated 
care payments is approximately $3.95 billion (discussed in sections 
I.F of this Appendix). The estimated change in capital payments is 
approximately $0.21 billion (discussed in section I.I. of this 
Appendix). The estimated change in the combined effects of other 
proposed changes including new technology add-on payment changes and 
the statutory expiration of the temporary changes to the low-volume 
hospital payment adjustment on October 1, 2025, is approximately -
$0.14 billion as discussed in sections I.F and I.G. of this 
Appendix. Totals may differ from the sum of the components due to 
rounding.
    Table I. of section I.F. of this Appendix also demonstrates the 
estimated redistributional impacts of the proposed FY 2026 changes 
on IPPS payments relative to FY 2025.
    We estimate that hospitals will experience a 2.7 percent 
increase in capital payments per case, as shown in Table III of 
section I.I. of this Appendix. We project that there will be an 
approximately $21 million increase in capital payments in FY 2026 
compared to FY 2025.
    The discussions presented in the previous pages, in combination 
with the remainder of this proposed rule, constitute a regulatory 
impact analysis.

2. LTCHs

    Overall, LTCHs are projected to experience an increase in 
estimated payments in FY 2026. In the impact analysis, we are using 
the rates, factors, and policies presented in this proposed rule 
based on the best available claims and CCR data to estimate the 
change in payments under the LTCH PPS for FY

[[Page 18487]]

2026. Accordingly, based on the best available data for the 328 
LTCHs included in our analysis, we estimate that overall FY 2026 
LTCH PPS payments would increase approximately $61 million relative 
to FY 2025, primarily due to the proposed annual update to the LTCH 
PPS standard Federal rate partially offset by an estimated decrease 
in high-cost outlier payments.

Q. Regulatory Review Cost Estimation

    If regulations impose administrative costs on private entities, 
such as the time needed to read and interpret a rule, we should 
estimate the cost associated with regulatory review. Due to the 
uncertainty involved with accurately quantifying the number of 
entities that will review the rule, we assume that the total number 
of unique commenters on last year's proposed rule will be the number 
of reviewers of this proposed rule. We acknowledge that this 
assumption may understate or overstate the costs of reviewing the 
rule. It is possible that not all commenters reviewed last year's 
rule in detail, and it is also possible that some reviewers chose 
not to comment on the proposed rule. For these reasons, we believe 
that the number of past commenters would be a fair estimate of the 
number of reviewers of this proposed rule. We welcome any comments 
on the approach in estimating the number of entities which will 
review this proposed rule.
    We recognize that different types of entities are in many cases 
affected by mutually exclusive sections of the rule. Thus, for the 
purposes of our estimate we assume that each reviewer read 
approximately 50 percent of the proposed rule. Finally, in our 
estimates, we have used the 6,180 number of timely pieces of 
correspondence on the FY 2025 IPPS/LTCH proposed rule as our 
estimate for the number of reviewers of this proposed rule. We 
continue to acknowledge the uncertainty involved with using this 
number, but we believe it is a fair estimate due to the variety of 
entities affected and the likelihood that some of them choose to 
rely (in full or in part) on press releases, newsletters, fact 
sheets, or other sources rather than the comprehensive review of 
preamble and regulatory text. We seek comments on this assumption.
    Using the wage information from the BLS for medical and health 
service managers (Code 11-9111), we estimate that the cost of 
reviewing the proposed rule is $106.42 per hour, including overhead 
and fringe benefits (https://www.bls.gov/oes/current/oes_nat.htm). 
Assuming an average reading speed, we estimate that it would take 
approximately 15.22 hours for the staff to review half of this 
proposed rule. For each IPPS hospital or LTCH that reviews this 
proposed rule, the estimated cost is $1,619.71 (15.22 hours x 
$106.42). Therefore, we estimate that the total cost of reviewing 
this proposed rule is $10,009,807.80 ($1,619.71 x 6,180 reviewers).

II. Accounting Statements and Tables

A. Acute Care Hospitals

    As required by OMB Circular A-4 (available at https://www.reginfo.gov/public/jsp/Utilities/a-4.pdf), in Table V. of this 
Appendix, we have prepared an accounting statement showing the 
classification of the expenditures associated with the provisions of 
this proposed rule as they relate to acute care hospitals. This 
table provides our best estimate of the change in Medicare payments 
to providers as a result of the proposed changes to the IPPS 
presented in this proposed rule. All expenditures are classified as 
transfers to Medicare providers.
    As shown in Table V. of this Appendix, the net costs to the 
Federal Government associated with the policies in this proposed 
rule are estimated at $4.0 billion.

 Table V--Accounting Statement: Classification of Estimated Expenditures
                 Under the IPPS From FY 2025 to FY 2026
------------------------------------------------------------------------
                Category                            Transfers
------------------------------------------------------------------------
Annualized Monetized Transfers.........  $4.0 billion.
From Whom to Whom......................  Federal Government to IPPS
                                          Medicare Providers.
------------------------------------------------------------------------

B. LTCHs

    As discussed in section I.J. of this Appendix, the impact 
analysis of the payment rates and factors presented in this proposed 
rule under the LTCH PPS is projected to result in an increase in 
estimated aggregate LTCH PPS payments in FY 2026 relative to FY 2025 
of approximately $61 million based on the data for 328 LTCHs in our 
database that are subject to payment under the LTCH PPS. Therefore, 
as required by OMB Circular A-4 (available at https://www.reginfo.gov/public/jsp/Utilities/a-4.pdf), in Table VI. of this 
Appendix, we have prepared an accounting statement showing the 
classification of the expenditures associated with the provisions of 
this proposed rule as they relate LTCHs. Table VI. of this Appendix 
provides our best estimate of the estimated change in Medicare 
payments under the LTCH PPS as a result of the payment rates and 
factors and other provisions presented in this proposed rule based 
on the data for the 328 LTCHs in our database. All expenditures are 
classified as transfers to Medicare providers (that is, LTCHs).
    As shown in Table VI. of this Appendix, the net cost to the 
Federal Government associated with the policies for LTCHs in this 
proposed rule are estimated at $61 million.

Table VI--Accounting Statement: Classification of Estimated Expenditures
            From the FY 2025 LTCH PPS to the FY 2026 LTCH PPS
------------------------------------------------------------------------
                Category                            Transfers
------------------------------------------------------------------------
Annualized Monetized Transfers.........  $61 million.
From Whom to Whom......................  Federal Government to LTCH
                                          Medicare Providers.
------------------------------------------------------------------------

III. Regulatory Flexibility Act (RFA) Analysis

    The RFA requires agencies to analyze options for regulatory 
relief of small entities. For purposes of the RFA, small entities 
include small businesses, nonprofit organizations, and small 
government jurisdictions. We estimate that most hospitals and most 
other providers and suppliers are small entities as that term is 
used in the RFA. The great majority of hospitals and most other 
health care providers and suppliers are small entities, either by 
being nonprofit organizations or by meeting the SBA definition of a 
small business (having revenues of less than $8.0 million to $41.5 
million in any 1 year). (For details on the latest standards for 
health care providers, we refer readers to page 38 of the Table of 
Small Business Size Standards for NAIC 622 found on the SBA website 
at https://www.sba.gov/sites/default/files/files/Size_Standards_Table.pdf.)
    For purposes of the RFA, all hospitals and other providers and 
suppliers are considered to be small entities. Because all hospitals 
are considered to be small entities for purposes of the RFA, the 
hospital impacts described in this proposed rule are impacts on 
small entities. Individuals and States are not included in the 
definition of a small entity. MACs are not considered to be small 
entities because they do not meet the SBA definition of a small 
business.
    HHS's practice in interpreting the RFA is to consider effects 
economically ``significant'' if greater than 5 percent of providers 
reach a threshold of 3 to 5 percent or more of total revenue or 
total costs. We believe that the

[[Page 18488]]

provisions of this proposed rule relating to IPPS hospitals would 
have an economically significant impact on small entities as 
explained in this Appendix. Therefore, the Secretary has certified 
that this proposed rule is expected to have a significant economic 
impact on a substantial number of small entities. For example, the 
majority of the 3,038 IPPS hospitals included in the impact analysis 
shown in ``Table I.--Impact Analysis of Proposed Changes to the IPPS 
for Operating Costs for FY 2026,'' on average are expected to see 
increases in the range of 3.5 percent, primarily due to the proposed 
hospital rate update and proposed uncompensated care payments, as 
discussed in section I.F. of this Appendix. On average, the proposed 
rate update for these hospitals is estimated to be 2.4 percent and 
proposed uncompensated care payments are estimated to increase 
payments in FY 2026 by 1.3 percent for all hospitals.
    The 328 LTCH PPS hospitals included in the impact analysis shown 
in ``Table IV: Impact of Proposed Payment Rate and Policy Changes to 
LTCH PPS Payments for LTCH PPS Standard Federal Payment Rate Cases 
for FY 2026 (Estimated FY 2025 Payments Compared to Estimated 
Proposed FY 2026 Payments)'' on average are expected to see an 
increase of approximately 2.2 percent, primarily due to the proposed 
annual standard Federal rate update for FY 2026 (2.6 percent) being 
partially offset by a projected 0.3 percent decrease in high cost 
outlier payments as a percentage of total LTCH PPS standard Federal 
payment rate payments, as discussed in section I.J. of this 
Appendix.
    This proposed rule contains a range of proposals. It provides 
descriptions of the statutory provisions that are addressed, 
identifies the proposed policies, and presents rationales for our 
decisions and, where relevant, alternatives that were considered. 
All alternatives considered apply to hospitals considered small 
businesses. The analyses discussed in this Appendix and throughout 
the preamble of this proposed rule constitutes our initial 
regulatory flexibility analysis. We are seeking public comments on 
our estimates and analysis of the impact of our proposals on small 
entities.

IV. Impact on Small Rural Hospitals

    Section 1102(b) of the Act requires us to prepare a regulatory 
impact analysis for any proposed or final rule that may have a 
significant impact on the operations of a substantial number of 
small rural hospitals. This analysis must conform to the provisions 
of section 603 of the RFA. With the exception of hospitals located 
in certain New England counties, for purposes of section 1102(b) of 
the Act, we define a small rural hospital as a hospital that is 
located outside of an urban area and has fewer than 100 beds. 
Section 601(g) of the Social Security Amendments of 1983 (Pub. L. 
98-21) designated hospitals in certain New England counties as 
belonging to the adjacent urban area. Thus, for purposes of the IPPS 
and the LTCH PPS, we continue to classify these hospitals as urban 
hospitals.
    As shown in Table I. in section I.F. of this Appendix, rural 
IPPS hospitals with 0-49 beds (320 hospitals) are expected to 
experience an increase in payments from FY 2025 to FY 2026 of 2.3 
percent and rural IPPS hospitals with 50-99 beds (182 hospitals) are 
expected to experience an increase in payments from FY 2025 to FY 
2026 of 0.9 percent. These changes are primarily driven by the 
proposed hospital rate update and the increase in estimated 
uncompensated care payment offset by the statutory expiration of the 
MDH program. We refer readers to Table I. in section I.F. of this 
Appendix for additional information on the quantitative effects of 
the proposed policy changes under the IPPS for operating costs.
    All rural LTCHs (17 hospitals) shown in Table IV. in section 
I.J. of this Appendix have less than 100 beds. These hospitals are 
expected to experience an increase in payments from FY 2025 to FY 
2026 of 2.5 percent. This increase is primarily due to the 
combination of the proposed 2.6 percent annual update to the LTCH 
PPS standard Federal payment rate for FY 2026, as discussed in 
section I.J. of this Appendix.

V. Unfunded Mandates Reform Act Analysis

    Section 202 of the Unfunded Mandates Reform Act of 1995 (Pub. L. 
104-4) also requires that agencies assess anticipated costs and 
benefits before issuing any rule whose mandates require spending in 
any 1 year of $100 million in 1995 dollars, updated annually for 
inflation. In 2025, that threshold is approximately $187 million. 
This proposed rule would not mandate any requirements that meet the 
threshold for State, local, or Tribal governments, nor would it 
affect private sector costs.

VI. Executive Order 13132

    Executive Order 13132 establishes certain requirements that an 
agency must meet when it promulgates a proposed rule (and subsequent 
final rule) that imposes substantial direct requirement costs on 
State and local governments, preempts state law, or otherwise has 
federalism implications. This proposed rule would not have a 
substantial direct effect on State or local governments, preempt 
states, or otherwise have a federalism implication.

VII. Executive Order 13175

    Executive Order 13175 directs agencies to consult with Tribal 
officials prior to the formal promulgation of regulations having 
Tribal implications. Section 1880(a) of the Act states that a 
hospital of the Indian Health Service, whether operated by such 
Service or by an Indian Tribe or Tribal organization, is eligible 
for Medicare payments so long as it meets all of the conditions and 
requirements for such payments which are applicable generally to 
hospitals. Consistent with section 1880(a) of the Act, this proposed 
rule contains general provisions also applicable to hospitals and 
facilities operated by the Indian Health Service or Tribes or Tribal 
organizations under the Indian Self-Determination and Education 
Assistance Act. We continue to engage in consultations with Tribal 
officials on IPPS issues of interest. We will use input received 
from these consultations, as well as the comments on the proposed 
rule, to inform this rulemaking.

VIII. Executive Order 14192

    Executive Order 14192, titled ``Unleashing Prosperity Through 
Deregulation,'' was issued on January 31, 2025, and requires that 
``any new incremental costs associated with new regulations shall, 
to the extent permitted by law, be offset by the elimination of 
existing costs associated with at least 10 prior regulations. This 
proposed rule, if finalized as proposed, is expected to be an E.O. 
14192 deregulatory action. We estimate that this proposed rule would 
generate $17.5 million in annualized cost savings at a 7 percent 
discount rate, discounted relative to year 2024, over a perpetual 
time horizon.

Appendix B: Recommendation of Update Factors for Operating Cost Rates 
of Payment for Inpatient Hospital Services

I. Background

    Section 1886(e)(4)(A) of the Act requires that the Secretary, 
taking into consideration the recommendations of MedPAC, recommend 
update factors for inpatient hospital services for each fiscal year 
that take into account the amounts necessary for the efficient and 
effective delivery of medically appropriate and necessary care of 
high quality. Under section 1886(e)(5) of the Act, we are required 
to publish update factors recommended by the Secretary in the 
proposed and final IPPS rules. Accordingly, this Appendix provides 
the recommendations for the update factors for the IPPS national 
standardized amount, the hospital-specific rate for SCHs and MDHs, 
and the rate-of-increase limits for certain hospitals excluded from 
the IPPS, as well as LTCHs. In prior years, we made a recommendation 
in the IPPS proposed rule and final rule for the update factors for 
the payment rates for IRFs and IPFs. However, for FY 2026, 
consistent with our approach for FY 2025, we are including the 
Secretary's recommendation for the update factors for IRFs and IPFs 
in separate Federal Register documents at the time that we announce 
the annual updates for IRFs and IPFs. We also discuss our response 
to MedPAC's recommended update factors for inpatient hospital 
services.

II. Inpatient Hospital Update for FY 2026

A. Proposed FY 2026 Inpatient Hospital Update

    As discussed in section VI.B. of the preamble to this proposed 
rule, for FY 2026, consistent with section 1886(b)(3)(B) of the Act, 
as amended by sections 3401(a) and 10319(a) of the Affordable Care 
Act, we are setting the applicable percentage increase by applying 
the following adjustments in the following sequence. Specifically, 
the applicable percentage increase under the IPPS is equal to the 
rate-of-increase in the hospital market basket for IPPS hospitals in 
all areas, subject to a reduction of one-quarter of the applicable 
percentage increase (prior to the application of other statutory 
adjustments; also referred to as the market basket update or rate-
of-increase (with no adjustments)) for hospitals that fail to submit 
quality information under rules established by the Secretary in 
accordance with section

[[Page 18489]]

1886(b)(3)(B)(viii) of the Act and a reduction of three-quarters of 
the applicable percentage increase (prior to the application of 
other statutory adjustments; also referred to as the market basket 
update or rate-of-increase (with no adjustments)) for hospitals not 
considered to be meaningful electronic health record (EHR) users in 
accordance with section 1886(b)(3)(B)(ix) of the Act, and then an 
adjustment based on changes in economy-wide productivity (the 
productivity adjustment). Section 1886(b)(3)(B)(xi) of the Act, as 
added by section 3401(a) of the Affordable Care Act, states that 
application of the productivity adjustment may result in the 
applicable percentage increase being less than zero.
    We note that, in compliance with section 404 of the MMA, in this 
proposed rule, we are proposing to replace the 2018-based IPPS 
operating and capital market baskets with the rebased and revised 
proposed 2023-based IPPS operating and capital market baskets 
beginning in FY 2026.
    In this FY 2026 IPPS/LTCH PPS proposed rule, in accordance with 
section 1886(b)(3)(B) of the Act, we are proposing to base the 
proposed FY 2026 market basket update used to determine the 
applicable percentage increase for the IPPS on IGI's fourth quarter 
2024 forecast of the proposed 2023-based IPPS market basket rate-of-
increase with historical data through third quarter 2024, which is 
estimated to be 3.2 percent. In accordance with section 
1886(b)(3)(B) of the Act, as amended by section 3401(a) of the 
Affordable Care Act, in section VI.B. of the preamble of this FY 
2026 IPPS/LTCH PPS proposed rule, based on IGI's fourth quarter 2024 
forecast, we are proposing a productivity adjustment of 0.8 
percentage point for FY 2026. We are also proposing that if more 
recent data subsequently become available, we would use such data, 
if appropriate, to determine the FY 2026 market basket update and 
productivity adjustment for the FY 2026 IPPS/LTCH PPS final rule.
    Therefore, based on IGI's fourth quarter 2024 forecast of the 
proposed 2023-based IPPS market basket percentage increase and the 
productivity adjustment, depending on whether a hospital submits 
quality data under the rules established in accordance with section 
1886(b)(3)(B)(viii) of the Act (hereafter referred to as a hospital 
that submits quality data) and is a meaningful EHR user under 
section 1886(b)(3)(B)(ix) of the Act (hereafter referred to as a 
hospital that is a meaningful EHR user), we are proposing four 
possible applicable percentage increases that could be applied to 
the standardized amount, as shown in the following table.

----------------------------------------------------------------------------------------------------------------
                                                     Hospital        Hospital      Hospital did    Hospital did
                                                     submitted       submitted      NOT submit      NOT submit
                                                   quality data    quality data    quality data    quality data
                     FY 2026                         and is a      and is NOT  a     and is a      and is NOT a
                                                    meaningful      meaningful    meaningful EHR  meaningful EHR
                                                     EHR user        EHR user          user            user
----------------------------------------------------------------------------------------------------------------
Proposed IPPS Market Basket                                  3.2             3.2             3.2             3.2
 Rate[dash]of[dash]Increase.....................
Proposed Adjustment for Failure to Submit                    0.0             0.0            -0.8            -0.8
 Quality Data under Section 1886(b)(3)(B)(viii)
 of the Act.....................................
Proposed Adjustment for Failure to be a                      0.0            -2.4             0.0            -2.4
 Meaningful EHR User under Section
 1886(b)(3)(B)(ix) of the Act...................
Proposed Productivity Adjustment under Section              -0.8            -0.8            -0.8            -0.8
 1886(b)(3)(B)(xi) of the Act...................
Proposed Applicable Percentage Increase Applied              2.4             0.0             1.6            -0.8
 to Standardized Amount.........................
----------------------------------------------------------------------------------------------------------------

B. Proposed FY 2026 SCH Update

    Section 1886(b)(3)(B)(iv) of the Act provides that the 
applicable percentage increase in the hospital-specific rate for 
SCHs and MDHs equals the applicable percentage increase set forth in 
section 1886(b)(3)(B)(i) of the Act (that is, the same update factor 
as for all other hospitals subject to the IPPS). Therefore, the 
update to the hospital-specific rates for SCHs and MDHs is also 
subject to section 1886(b)(3)(B)(i) of the Act, as amended by 
sections 3401(a) and 10319(a) of the Affordable Care Act.
    As discussed in section VI.F. of the preamble of this proposed 
rule, section 2202 of the Full-Year Continuing Appropriations and 
Extensions Act, 2025 extended the MDH program through FY 2025. 
Therefore, under current law, the MDH program will expire for 
discharges on or after October 1, 2025. We note that if the MDH 
program were to be extended by law into FY 2026, the proposed 
updates to the hospital-specific rates for SCHs as described in this 
section would also apply to the hospital-specific rates for MDHs for 
FY 2026. We refer readers to section V.E. of the preamble of this 
proposed rule for further discussion of the MDH program.
    As previously stated, the update to the hospital specific rate 
for SCHs is subject to section 1886(b)(3)(B)(i) of the Act, as 
amended by sections 3401(a) and 10319(a) of the Affordable Care Act. 
Accordingly, depending on whether a hospital submits quality data 
and is a meaningful EHR user, we are proposing the same four 
possible applicable percentage increases in the previous table for 
the hospital-specific rate applicable to SCHs.

C. Proposed FY 2026 Puerto Rico Hospital Update

    Because Puerto Rico hospitals are no longer paid with a Puerto 
Rico-specific standardized amount under the amendments to section 
1886(d)(9)(E) of the Act, there is no longer a need for us to make 
an update to the Puerto Rico standardized amount. Hospitals in 
Puerto Rico are now paid 100 percent of the national standardized 
amount and, therefore, are subject to the same update to the 
national standardized amount discussed under section VI.B.1. of the 
preamble of this proposed rule.
    In addition, as discussed in section VI.B.2. of the preamble of 
this proposed rule, section 602 of Public Law 114-113 amended 
section 1886(n)(6)(B) of the Act to specify that subsection (d) 
Puerto Rico hospitals are eligible for incentive payments for the 
meaningful use of certified EHR technology, effective beginning FY 
2016. In addition, section 1886(n)(6)(B) of the Act was amended to 
specify that the adjustments to the applicable percentage increase 
under section 1886(b)(3)(B)(ix) of the Act apply to subsection (d) 
Puerto Rico hospitals that are not meaningful EHR users, effective 
beginning FY 2022.
    Section 1886(b)(3)(B)(ix) of the Act in conjunction with section 
602(d) of Public Law 114-113 requires that for FY 2024 and 
subsequent fiscal years, any subsection (d) Puerto Rico hospital 
that is not a meaningful EHR user as defined in section 1886(n)(3) 
of the Act and not subject to an exception under section 
1886(b)(3)(B)(ix) of the Act will have a reduction of three-quarters 
of the applicable percentage increase (prior to the application of 
other statutory adjustments).
    Based on IGI's fourth quarter 2024 forecast of the proposed 
2023-based IPPS market basket update with historical data through 
third quarter 2024, in this FY 2026 IPPS/LTCH PPS proposed rule, in 
accordance with section 1886(b)(3)(B) of the Act, as previously 
discussed, for Puerto Rico hospitals, we are proposing an IPPS 
market basket increase of 3.2 percent and a productivity adjustment 
of 0.8 percentage point. Therefore, for FY 2026, depending on 
whether a Puerto Rico hospital is a meaningful EHR user, there are 
two possible applicable percentage increases that can be applied to 
the standardized amount. Based on these data, we are proposing the 
following applicable percentage increases to the standardized amount 
for FY 2026 for Puerto Rico hospitals:
     For a Puerto Rico hospital that is a meaningful EHR 
user, we are proposing an applicable percentage increase to the 
operating standardized amount of 2.4 percent (that is, the FY 2026 
estimate of the proposed IPPS market basket rate-of-increase of 3.2 
percent less an adjustment of 0.8 percentage point for the proposed 
productivity adjustment).
     For a Puerto Rico hospital that is not a meaningful EHR 
user, we are proposing an applicable percentage increase to the 
operating standardized amount of 0.0 percent (that is, the FY 2026 
estimate of the proposed market basket rate-of-increase of 3.2 
percent,

[[Page 18490]]

less an adjustment of 2.4 percentage point (the proposed IPPS market 
basket rate-of-increase of 3.2 percent x 0.75 for failure to be a 
meaningful EHR user), and less an adjustment of 0.8 percentage point 
for the proposed productivity adjustment).
    As noted previously, we are proposing that if more recent data 
subsequently become available, we would use such data, if 
appropriate, to determine the FY 2026 market basket percentage 
increase and the productivity adjustment for the FY 2026 IPPS/LTCH 
PPS final rule.

D. Proposed Update for Hospitals Excluded From the IPPS for FY 2026

    Section 1886(b)(3)(B)(ii) of the Act is used for purposes of 
determining the percentage increase in the rate-of-increase limits 
for children's hospitals, cancer hospitals, and hospitals located 
outside the 50 States, the District of Columbia, and Puerto Rico 
(that is, short-term acute care hospitals located in the U.S. Virgin 
Islands, Guam, the Northern Mariana Islands, and America Samoa). 
Section 1886(b)(3)(B)(ii) of the Act sets the rate-of-increase 
limits equal to the market basket percentage increase. In accordance 
with Sec.  403.752(a) of the regulations, religious nonmedical 
health care institutions (RNHCIs) are paid under the provisions of 
Sec.  413.40, which also use section 1886(b)(3)(B)(ii) of the Act to 
update the percentage increase in the rate-of-increase limits.
    Currently, children's hospitals, PPS-excluded cancer hospitals, 
RNHCIs, and short-term acute care hospitals located in the U.S. 
Virgin Islands, Guam, the Northern Mariana Islands, and American 
Samoa are among the remaining types of hospitals still paid under 
the reasonable cost methodology, subject to the rate-of-increase 
limits. In addition, in accordance with Sec.  412.526(c)(3) of the 
regulations, extended neoplastic disease care hospitals (described 
in Sec.  412.22(i) of the regulations) also are subject to the rate-
of-increase limits. As discussed in section VI. of the preamble of 
this proposed rule, we are proposing to use the percentage increase 
in the proposed 2023-based IPPS operating market basket to update 
the target amounts for children's hospitals, PPS-excluded cancer 
hospitals, RNHCIs, short-term acute care hospitals located in the 
U.S. Virgin Islands, Guam, the Northern Mariana Islands, and 
American Samoa, and extended neoplastic disease care hospitals for 
FY 2026 and subsequent fiscal years. Accordingly, for FY 2026, the 
rate-of-increase percentage to be applied to the target amount for 
these children's hospitals, cancer hospitals, RNHCIs, extended 
neoplastic disease care hospitals, and short-term acute care 
hospitals located in the U.S. Virgin Islands, Guam, the Northern 
Mariana Islands, and American Samoa is the FY 2026 percentage 
increase in the proposed 2023-based IPPS operating market basket. 
For this proposed rule, the current estimate of the IPPS operating 
market basket percentage increase for FY 2026 is 3.2 percent. We are 
proposing that if more recent data subsequently become available, we 
would use such data, if appropriate, to determine the FY 2026 IPPS 
operating market basket rate-of-increase for the FY 2026 IPPS/LTCH 
PPS final rule.

E. Proposed Update for LTCHs for FY 2026

    Section 123 of Public Law 106-113, as amended by section 307(b) 
of Public Law 106-554 (and codified at section 1886(m)(1) of the 
Act), provides the statutory authority for updating payment rates 
under the LTCH PPS.
    As discussed in section V.A. of the Addendum to this proposed 
rule, we are proposing to update the LTCH PPS standard Federal 
payment rate for FY 2026 by 2.6 percent, consistent with section 
1886(m)(3) of the Act which provides that any annual update be 
reduced by the productivity adjustment described in section 
1886(b)(3)(B)(xi)(II) of the Act (that is, the productivity 
adjustment). Furthermore, in accordance with the LTCH QR Program 
under section 1886(m)(5) of the Act, we are proposing to reduce the 
annual update to the LTCH PPS standard Federal rate by 2.0 
percentage points for failure of a LTCH to submit the required 
quality data. Accordingly, we are proposing to establish an update 
factor of 1.026 in determining the LTCH PPS standard Federal rate 
for FY 2026. For LTCHs that fail to submit quality data for FY 2026, 
we are proposing to establish an annual update to the LTCH PPS 
standard Federal rate of 0.6 percent (that is, the proposed annual 
update for FY 2026 of 2.6 percent less 2.0 percentage points for 
failure to submit the required quality data in accordance with 
section 1886(m)(5)(C) of the Act and our rules) by applying a 
proposed update factor of 1.006 in determining the LTCH PPS standard 
Federal rate for FY 2026. (We note that, as discussed in section 
VII.D. of the preamble of this proposed rule, the update to the LTCH 
PPS standard Federal payment rate of 2.6 percent for FY 2026 does 
not reflect any budget neutrality factors.)

III. Secretary's Recommendations

    MedPAC is recommending inpatient hospital rates be updated by 
the amount specified in current law plus 1.0 percent. MedPAC's 
rationale for this update recommendation is described in more detail 
in this section. As previously stated, section 1886(e)(4)(A) of the 
Act requires that the Secretary, taking into consideration the 
recommendations of MedPAC, recommend update factors for inpatient 
hospital services for each fiscal year that take into account the 
amounts necessary for the efficient and effective delivery of 
medically appropriate and necessary care of high quality. Consistent 
with current law, depending on whether a hospital submits quality 
data and is a meaningful EHR user, we are recommending the four 
applicable percentage increases to the standardized amount listed in 
the table under section II. of this Appendix. We are recommending 
that the same applicable percentage increases apply to SCHs.
    In addition to making a recommendation for IPPS hospitals, in 
accordance with section 1886(e)(4)(A) of the Act, we are 
recommending update factors for certain other types of hospitals 
excluded from the IPPS. Consistent with our policies for these 
facilities, we are recommending an update to the target amounts for 
children's hospitals, cancer hospitals, RNHCIs, short-term acute 
care hospitals located in the U.S. Virgin Islands, Guam, the 
Northern Mariana Islands, and American Samoa and extended neoplastic 
disease care hospitals of 3.2 percent.
    For FY 2026, consistent with policy set forth in section IX. of 
the preamble of this proposed rule, for LTCHs that submit quality 
data, we are recommending an update of 2.6 percent to the LTCH PPS 
standard Federal rate. For LTCHs that fail to submit quality data 
for FY 2026, we are recommending an annual update to the LTCH PPS 
standard Federal rate of 0.6 percent.

IV. MedPAC Recommendation for Assessing Payment Adequacy and Updating 
Payments in Traditional Medicare

    In its March 2025 Report to Congress, MedPAC assessed the 
adequacy of current payments and costs, and the relationship between 
payments and an appropriate cost base. MedPAC recommended an update 
to the hospital inpatient rates by the amount specified in current 
law plus 1.0 percent. MedPAC anticipates that their recommendation 
to update the IPPS payment rate by the amount specified under 
current law plus 1.0 percent in 2026 would generally be adequate to 
maintain beneficiaries' access to hospital inpatient and outpatient 
care and keep IPPS payment rates close to, if somewhat below, the 
cost of delivering high-quality care efficiently.
    MedPAC stated that their recommended update to IPPS and OPPS 
payment rates of current law plus 1.0 percent may not be sufficient 
to ensure the financial viability of some Medicare safety-net 
hospitals with a poor payer mix. MedPAC recommends redistributing 
the current Medicare safety-net payments (disproportionate share 
hospital and uncompensated care payments) using the MedPAC-developed 
Medicare Safety-Net Index (MSNI) for hospitals. In addition, MedPAC 
recommends adding $4 billion to this MSNI pool of funds to help 
maintain the financial viability of Medicare safety-net hospitals 
and recommended to Congress transitional approaches for a MSNI 
policy.
    We refer readers to the March 2025 MedPAC report, which is 
available for download at https://www.medpac.gov/document-type/report/. We look forward to working with Congress on these matters.
    We are proposing an applicable percentage increase for FY 2026 
of 2.4 percent as described in section 1886(b)(3)(B) of the Act, 
provided the hospital submits quality data and is a meaningful EHR 
user consistent with these statutory requirements. We note that, 
because the operating and capital payments in the IPPS remain 
separate, we are continuing to use separate updates for operating 
and capital payments in the IPPS. The update to the capital rate is 
discussed in section III. of the Addendum to this proposed rule.
    We note that section 1886(d)(5)(F) of the Act provides for 
additional Medicare payment adjustments, called Medicare 
disproportionate share hospital (DSH) payments, for subsection (d) 
hospitals that serve a significantly disproportionate number of low-
income patients. Section 1886(r) of the Act provides that, for FY 
2014 and each subsequent fiscal year, the Secretary shall

[[Page 18491]]

pay each such subsection (d) hospital that is eligible for Medicare 
DSH payments an empirically justified DSH payment equal to 25 
percent of the Medicare DSH adjustment they would have received 
under section 1886(d)(5)(F) of the Act if subsection (r) did not 
apply. The remaining amount, equal to an estimate of 75 percent of 
what otherwise would have been paid as Medicare DSH payments if 
subsection (r) of the Act did not apply, reduced to reflect changes 
in the percentage of individuals who are uninsured, is available to 
make additional payments to each hospital that qualifies for 
Medicare DSH payments and has uncompensated care. These additional 
payments are called uncompensated care payments. We refer readers to 
section V. of preamble of this proposed rule for a further 
discussion of Medicare DSH and uncompensated care payments.

[FR Doc. 2025-06271 Filed 4-11-25; 4:15 pm]
 BILLING CODE 4120-01-P