AI-powered clinical NLP engine that identifies missed HCC opportunities, validates coding accuracy, and maximizes legitimate RAF capture. Built for ACOs, MSOs, and value-based care organizations.
Purpose-built tools for every step of the risk adjustment workflow
Paste clinical notes and instantly identify HCC opportunities. Deep NLP analyzes assessment, plan, medications, and lab values to surface missed diagnoses with supporting evidence.
LiveSearch 7,900+ ICD-10 codes with HCC mappings, RAF values, and clinical synonyms. Instant lookup by code, description, or clinical term with SNOMED crosswalk.
LiveCalculate Risk Adjustment Factor scores with demographic adjustments. See HCC interactions, hierarchy impacts, and payment count coefficients in real-time.
LiveFHIR R4 connectivity for seamless EHR integration. Pull patient data, analyze full charts, and push coding suggestions back to your workflow.
Coming SoonComprehensive retrospective chart review with compliance scoring. Identify documentation gaps, coding opportunities, and RADV audit risks across your patient population.
Coming SoonRESTful API for enterprise integration. Analyze notes programmatically, batch process charts, and embed HCC intelligence into your existing systems.
LiveDeep AI-powered chart analysis with comprehensive code capture. Multi-LLM workflow takes 2-3 minutes per note but provides highly accurate results with detailed user dashboard and feedback system. Requires login.
AI-HeavyKeep PHI out of your AI stack. Joinable de-identification with audit receipts at the pipeline edge. De-identify clinical notes without breaking analytics or downstream processing.
PrivacyMillions of lines of clinical coding logic built by clinician-programmers, powered by evidence-based algorithms
Millions of lines of clinical coding algorithms developed by clinician-programmers who understand real-world documentation patterns.
Every suggestion backed by hard clinical evidence - medications, labs, procedures, and documented findings. No guesswork.
Tens of thousands of clinical terms, synonyms, and documentation patterns for comprehensive NLP matching and AI enhancement.
Sub-second response times for point-of-care coding support. No batch delays or overnight processing.
Deep learning models augment rule-based logic for context-aware coding suggestions with negation and uncertainty detection.
Built for the latest CMS-HCC model with automatic hierarchy application and disease interaction calculations.
The Risk Adjustment Factor (RAF) is a numerical score that predicts a Medicare Advantage member's expected healthcare costs. Accurate RAF capture ensures appropriate reimbursement for the care your patients actually need.
Each HCC diagnosis adds to a patient's RAF score. Missing even one chronic condition can mean thousands in lost annual revenue per patient.
AI identifies conditions documented but not coded
Find opportunities to code more specific diagnoses
Automatic HCC hierarchy application for accurate totals
Trusted by organizations across the value-based care ecosystem
Optimize shared savings with accurate risk scoring across attributed populations
Scale coding operations with AI-assisted chart review and quality metrics
Prospective chart review and provider education for MA populations
Point-of-care coding support for MDs, PAs, APRNs, and NPs
Start analyzing clinical notes in seconds. No signup required for basic features.