OrthoCode AI
How do we make clinical AI verifiable by auditors and clinicians?
An evidence-first orthopedic medical-coding platform. Operates on a normalized, versioned codebook release and preserves page-level chart evidence for every proposed coding line.
Key Architecture & Mechanics
- Normalized codebook releases: Ingestion and validation of 11,525+ licensed 2026 CPT codes and 4.49M directional NCCI PTP edits with cryptographic raw-file SHA-256 provenance.
- Evidence-linked fact extraction: De-identified operative PDF notes parsed via OpenAI Structured Outputs (store=false) to produce bounded, page-anchored clinical fact candidates.
- Calibrated decision graph: TypeSafe JEV decision engine with calibrated green/yellow/red confidence thresholds, failing closed to mandatory human review on uncertain cases.
- Deterministic rule verification: Python validation for active-code service dates, NCCI PTP unbundling, MUE units, add-on dependencies, and HCPCS administered unit arithmetic.