Autonomous RADV Audit Readiness with
AI-Native Diagnostic Extraction
Complete CMS RADV audit submissions with AI-native HCC coding extraction with confidence and precision
AI Precision for RADV Audits.
Remove uncertainty from RADV audits with autonomous diagnostic extraction, clinical validation, and CMS-ready submissions at scale.
BENEFITS
Ease the heavy lift of RADV audits with smartness of AI
- Heavy manual chart reviews done swiftly.
- Context mapping of structured and unstructured medical records
- HCC Code evidences mapped with precision
End-to-end chart reviews to RADV-ready submissions
- Ingests PDFs, scans, faxes, and EHR exports at scale.
- Uses advanced clinical-AI to extract diagnoses and map to CMS-HCC.
- Generates RADV-ready reports with full audit trails.
Download AI RADV Whitepaper
Experience the capabilities of our RADV powered by clinical AI
Key features
RADV Powered by Clinical AI
Autonomous diagnostic extraction from unstructured charts.
- OCR + LLM workflow for handwritten and mixed-format records.
- Encounter-level HCC validation aligned with CMS RADV guidelines.
- Dashboards, provider scorecards, and CMS export-ready outputs.
Less time on charts.
Less risk in audits.
- 90% reduction in manual chart review time.
- Higher coding accuracy and faster RADV submissions.
- Lower administrative burden and reduced penalty exposure.
Enterprise-grade security for PHI.
- HIPAA-ready with end-to-end encryption and strict data residency.
- Role-based access, MFA, and detailed audit logs.
- Supports SOC-2, HITRUST, CMS compliance, and zero-trust networking.
Why RADV AI makes sense?
Purpose-built for RADV audits and HCC coding
Deep clinical AI and risk adjustment expertise in one platform
Proven impact on manual effort, accuracy, and penalty reduction
Question & Answers
Frequently Asked Questions
Explore this section to learn more about our products.
It automates HCC coding and RADV audit preparation by extracting diagnoses from unstructured records and generating CMS-ready reports with full audit trails.
PDFs, scanned images, faxes, EHR exports, and HL7/FHIR feeds can all be ingested and processed.
Yes, human-in-the-loop workflows enable QA review and overrides where needed.
Yes, the platform is designed for HIPAA environments and supports SOC-2, HITRUST, and CMS compliance frameworks.
By validating every HCC against encounter-level clinical evidence before CMS submission.
RADV AI is deployed rapidly and scales across large audit volumes without disrupting existing workflows.
Experience RADV AI firsthand.
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