CMS Moves Toward Modernizing Medicare Risk Adjustment to Reduce Clinician Burden

Key Clinical Summary

• Administrative strain: Current risk adjustment methods relying on diagnosis coding from claims contribute to physician burnout and potential payment bias.
• Policy reform: CMS’s risk-adjustment version 28 reduces coding incentives but may inadvertently disincentivize early disease detection and management.
• Next steps: CMS aims to integrate interoperable electronic health data to improve payment accuracy, reduce documentation workload, and advance value-based care.

Efforts by the Centers for Medicare & Medicaid Services (CMS) to modernize Medicare’s risk-adjustment system are reshaping how clinicians are paid for value-based care. According to a recent policy analysis, ongoing reforms seek to balance accuracy, reduce administrative burden, and enhance equity in payments across Medicare Advantage (MA) and traditional Medicare accountable care programs.

Study Findings / Main News

Medicare’s risk-adjustment mechanism has long been a cornerstone of payment reform, helping align reimbursement with beneficiaries’ health risks and outcomes. However, the process—based on clinician-reported diagnoses from fee-for-service claims—has introduced substantial administrative burden, coding incentives, and misalignment with true care costs.

CMS’s version 28 of the risk-adjustment model targets overpayment risks by removing or reducing adjusters linked to differential reporting between MA and traditional Medicare. While these revisions aim to curb excessive coding and spending, they may also create unintended bias by rewarding advanced disease states more reliably captured in claims, rather than earlier, potentially preventable conditions such as uncomplicated diabetes or early-stage chronic kidney disease.

The agency’s broader strategy now emphasizes interoperability and the use of real-time electronic health data to improve care delivery and reduce documentation strain. Initiatives such as the Health Technology Ecosystem and the Trusted Exchange Framework and Common Agreement are designed to facilitate seamless exchange of clinical information across providers, payers, and CMS. This would enable automated, data-driven risk adjustment, aligning payments more closely with patient needs while minimizing clinician reporting requirements.

Clinical Implications

Transitioning to a modernized, data-integrated risk-adjustment system could significantly impact value-based care delivery. By reducing manual diagnosis reporting, clinicians may gain time for patient care, particularly in primary care settings where burnout is most pronounced.

Incorporating standardized electronic health record (EHR) data—such as laboratory results, vital signs, and key chronic disease indicators—could also improve the precision of payment models and incentivize earlier disease detection. Linking risk adjustment with quality measurement and prior authorization reforms may further streamline workflows and foster equitable, prevention-focused care.

However, until health systems achieve robust EHR interoperability and data-sharing capacity, administrative challenges are likely to persist. CMS’s gradual, stepwise approach aims to mitigate disruption while promoting adoption of digital infrastructure needed for accurate, value-aligned reimbursement.

Conclusion

CMS’s evolving approach to risk adjustment marks a pivotal shift toward data-driven, clinician-friendly payment reform. As interoperability expands and EHR integration improves, Medicare’s payment systems may finally align financial incentives with patient-centered, preventive, and equitable care.

Reference

McClellan MB, Legner V, Debab S. Modernizing risk adjustment for value-based care without clinician burnout. JAMA Health Forum. 2025;6(10):e254756. doi:10.1001/jamahealthforum.2025.4756