Risk Adjustment & Coding
Expert articles and analysis related to risk adjustment & coding.
AI Summary — Last 30 Days
In the past 30 days, CMS and CMMI have accelerated structural changes in risk adjustment and coding aligned with the forthcoming LEAD (Long-term Enhanced ACO Design) Model, which will drive accountable care through major shifts such as locked-in base year benchmarks, expanded capitation, and increased specialist risk-sharing. These changes, along with proposals to resurrect and expand mandatory bundled payment models like CJR-X, are intensifying scrutiny on coding integrity, heightening tensions around risk score accuracy, and pushing both ACOs and technology vendors to innovate toward advanced, auditable risk adjustment solutions—including AI-native platforms designed to flag both over- and under-coding. Stakeholders face heightened material risks amid data gaps and evolving reimbursement frameworks, necessitating new strategic and operational approaches to population health and financial management as more revenue becomes explicitly tied to precise, validated clinical coding and longitudinal care attribution. Relevant reading includes Wakely’s analysis of LEAD Model risk and design and Hall Render’s reporting on CJR-X expansion.
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