From diagnosis detection to revenue estimation, HCC coding is woven into every note you generate.
The AI identifies HCC-eligible conditions from the encounter and maps them to the correct codes — no manual coding or CDI workflow needed.
Every HCC capture comes with an estimated revenue impact based on CNA model coefficient weights. See the dollar value of accurate coding.
8,435 ICD-10 to HCC mappings based on CMS 2026 Final Mappings. 188 HCC catalog entries covering 115 V28 codes plus legacy V22/V24.
19 HCC codes are mapped to quality measures for dual-impact optimization. Capture both the risk adjustment code and the quality measure in one encounter.
HCC coding happens automatically during note generation. No separate CDI workflow required.
AI identifies HCC-eligible conditions from the encounter transcript, clinical context, and problem list.
Conditions are mapped to specific ICD-10 codes with HCC specificity. V28 hierarchical logic is applied automatically.
Revenue impact is calculated using CNA model coefficients. See the dollar value of each captured HCC per encounter.
High-value condition categories with the greatest impact on risk adjustment factor scores.
Diabetes with and without complications, including nephropathy, neuropathy, retinopathy, and cardiovascular manifestations.
Systolic, diastolic, and combined heart failure with LVEF documentation. One of the highest-value HCC categories.
Chronic obstructive pulmonary disease, chronic respiratory failure, and associated conditions.
CKD stages 3-5, dialysis status, and kidney transplant. Staging specificity critical for V28 accuracy.
Major depressive disorder and other psychiatric conditions linked to PHQ-9 screening quality measures.
Stroke, TIA, peripheral vascular disease, venous thromboembolism, and coagulation disorders.
Basic coding suggestions on Lite. Full HCC capture with revenue estimation on Pro and Practice plans.
Scribeable automatically captures Hierarchical Condition Categories (HCC) during clinical documentation. With 8,435 ICD-10 to HCC mappings based on CMS 2026 V28 Final Mappings, the AI identifies risk-adjusting diagnoses from the encounter, maps them to the correct HCC codes, and estimates the revenue impact — all without manual coding effort.
HCC coding runs within the HIPAA-compliant note generation pipeline. All coding data is encrypted at rest and in transit. No patient identifiers are stored in aggregate coding reports.