SUM

Medicoder Platform — AI Medical Coding Assistant

Medical coding assistant that reads clinical encounter notes and recommends CPT E/M codes. 2025 MDM rules implemented; zero PHI persistence by architecture.

Beta Verified Apr 27, 2026

Medicoder Platform Interface

A medical coding assistant that reads clinical encounter notes and recommends CPT E/M codes. Implements the 2025 Medical Decision Making complexity rules — analyzing problems addressed, data reviewed, and management risk using the CMS 2-of-3 scoring method.

🌐 Live Application

What It Does

Paste a clinical note, select the encounter setting (office, inpatient, ED), and the system returns:

  • A recommended CPT code with confidence score
  • MDM complexity breakdown (problems, data, risk levels)
  • Alternative codes with reasoning when documentation supports a different level
  • Suggestions for strengthening documentation if the note is borderline

Analysis takes 2–3 seconds.

Compliance Posture

  • Zero PHI persistence by architecture. Clinical notes are processed in-memory at the edge and never written to disk or persisted in any data store. The architectural guarantee is the credibility primitive, not a policy promise.
  • Session metadata only. What persists is UI state (encounter setting, timestamp) in browser sessionStorage that clears on tab close — never note content.
  • Graceful degradation. When the inference path is slow or unavailable, the system falls back to a rule-based path so physicians always get a response.

Status

Currently in beta. Source code and proprietary architectural detail are not published; case study and technical deep-dive available on request for serious inquirers (e.g., physicians evaluating clinical workflow integration, healthcare ops teams).