MCP App StoreMCP App StoreThis skill provides decision support for medical coders and clinicians by mapping chronic conditions extracted from narrative notes to the CMS-HCC V28 risk-adjustment model. It identifies candidate Hierarchical Condition Categories (HCCs) and estimates the Risk Adjustment Factor (RAF) score based on public CMS coefficients.
Use this skill when analyzing clinical notes to surface risk-adjustable diagnoses (recapture), mapping ICD-10-CM codes to V28 HCCs, or validating that a diagnosis has sufficient MEAT (Monitored, Evaluated, Assessed, Treated) documentation support.
Designed for agents integrated with the OpenMed local-first healthcare AI suite, typically running in Python-based environments (Apple MLX, etc.) and compatible with Codex, Claude Code, or custom clinical agent harnesses.
This skill has not been reviewed by our automated audit pipeline yet.
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