Identify gaps in care, improve patient outcomes, and maximize revenue opportunities with Arkangel AI.
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Reviewed by: Arkangel AI risk adjustment review team, Risk adjustment and coding content
AI-powered chart analysis across all patient records for unreported conditions and coding gaps
Experience the power of AI-driven risk adjustment with our comprehensive trial program:
Streamline your Risk Adjustment Data Validation process with AI-powered workflows
RADV audits validate that submitted diagnosis codes are supported by medical records. To prepare, AI reviews claims data against documentation, flags unsupported or missing codes, and routes exceptions to coders with prioritized action items. It then generates audit-ready summaries—so when CMS requests records, your HCC coding is already defensible and fully traceable.
AI validates submitted diagnosis codes against medical records, identifying discrepancies and documentation gaps before audits.
Streamlined workflow for exceptions and missed opportunities with prioritized action items for your coding team.
Detailed summaries flagging risks and revenue opportunities with audit-ready documentation.
Industry-leading technology backed by clinical expertise
AI reads 100% of charts instead of a small sample, surfacing conditions buried in notes, labs, and medication lists that manual review misses. Clinically trained models deliver high recall with evidence for every suggested code, integrate with 20+ EHRs, and track RAF impact—so you capture accurate risk scores without adding coder headcount.
Industry-leading recall and acceptance rates powered by clinically-trained AI models.
Compatible with 20+ EMR systems including Epic, Cerner, MEDITECH, and more.
Data-driven improvements with clear metrics and trending analysis.
Try our platform with no commitment. See results before you decide.
How AI-powered risk adjustment compares with manual coding on capture, speed, and audit defensibility.
Manual HCC review samples a fraction of charts after billing, so documented conditions go uncoded and revenue is left on the table. AI reviews every chart before submission, links each suggested code to evidence, and flags unsupported codes—raising accurate RAF capture while keeping the documentation defensible if CMS audits.
| Capability | Arkangel AI | Manual HCC review |
|---|---|---|
| Chart coverage | Reviews 100% of charts before billing | Samples a small share, after billing |
| Turnaround | Real time, before claims submit | Weeks, after submission |
| Coding accuracy | Evidence-linked codes, high recall | Varies by coder; conditions missed |
| Cost to scale | Scales without added headcount | More charts means more coders |
| RADV readiness | Traceable, audit-ready documentation | Manual prep when CMS requests records |
Join leading healthcare organizations using AI to optimize risk adjustment and improve patient outcomes.
Request a DemoEverything you need to know about AI-powered chart intelligence for risk adjustment
See how chart intelligence captures the HCCs buried in your records