Kane Wound Care (KWC) — Production Clinical Documentation
Tabular Clinical Documentation & Encounter Matrices at Scale — Production-grade clinical documentation pipeline generating EMR-ready tabular encounter charts, wound assessment matrices, and structured notes with 97.54% zero-edit fidelity.
Executive Summary & Business Context
Kane Wound Care (KWC) required an enterprise-grade clinical documentation solution capable of supporting dozens of high-volume specialty clinicians without sacrificing medical fidelity or inflating cloud inference costs. Over a ~6.5-month production deployment window, the system generated 65,241 clinical notes with unmatched operational stability.
Tabular Encounter Matrices & Structured Schemas
Unlike narrative clinic notes, clinical wound care documentation is inherently tabular. The system was designed to parse clinician dictations and map them into multidimensional evaluation tables—tracking anatomical sites, 3D measurements (L×W×D), tissue breakdown (granulation, slough, epithelial), exudate levels, and specific debridement codes. These tabular records ingest directly into EHR grids without formatting distortion.
System Architecture & Unit Economics
Architected resilient prompt pipelines and structured clinical output validators running asynchronously via FastAPI. Optimized prompt token usage and inference batching to drive documentation cost down to just $0.16 per encounter, proving that frontier medical AI can achieve extraordinary unit economics at scale.
Clinical Fidelity & Measurable Impact
Achieved an audited 97.54% zero-edit rate across 65,241 charts, meaning 63,639 notes required no clinician revisions prior to signing. Enabled individual clinical scribes to scale capacity from 1 provider up to 2–2.5 providers each, boosting operational scribe throughput by 25–50%.