CodeDoctor MCPâ„¢

Prompt-Driven Clinical Document Intelligence. Ask questions. Extract insights. Generate codes. Validate clinical logic — all using natural language.

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MCP
Model Context Protocol
NLP
Natural Language Queries
ICD-10
Code Generation

Turn Static Documents into Smart Clinical Conversations

CodeDoctor MCP™ allows healthcare professionals, coders, and analysts to chat directly with clinical documents — discharge summaries, radiology reports, progress notes — and extract structured insights instantly.

Ask: "What are the confirmed diagnoses in this document?" and receive structured, explainable answers

Built on Model Context Protocol — each document becomes a live, context-aware reasoning object

Supports multi-step clinical analysis: ask, refine, validate, and produce coding-ready summaries

HIPAA / PHIPA compliant with end-to-end encryption and zero data retention options

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Clinical Document Chat
"What ICD-10-AM codes apply here?"
Based on the discharge summary, the primary diagnosis is Type 2 Diabetes (E11.9) with Hypertension (I10) as a secondary condition...
"Is there evidence supporting respiratory failure?"
The document notes elevated respiratory rate and O₂ saturation at 89% on admission. This supports J96.00 — Acute respiratory failure...

Key Capabilities

CodeDoctor MCP™ transforms coding from a one-way automation tool into a two-way clinical reasoning system — upload, ask, refine, and code with confidence.

Document Intelligence

Upload any clinical document and instantly extract diagnoses, procedures, medications, and clinical findings with structured, relationship-aware output.

Prompt-Based Interaction

Ask natural language questions such as "What conditions are confirmed vs suspected?" or "Are there contradictions in this documentation?" and get instant, evidence-backed answers.

Coding Assistance

Generate suggested ICD-10 / SNOMED CT / CPT codes from document context. Map clinical terms to standardized vocabularies with explainable reasoning for coder review.

Documentation Quality Checks

Detect missing or incomplete documentation, highlight vague or ambiguous clinical statements, and flag potential upcoding or undercoding risks before submission.

Clinical Summarization

Auto-generate coding summaries, create audit-ready documentation views, and reduce manual chart review time with AI-structured case narratives.

Persistent Reasoning State

MCP architecture maintains AI reasoning state across queries — so follow-up questions build on prior context rather than starting from scratch each time.

Built for Real Clinical Workflows

CodeDoctor MCPâ„¢ is designed for the teams who live inside clinical documentation every day.

Clinical Coders

Chat with documents instead of reading line by line. Validate code suggestions with supporting evidence in seconds.

HIM Departments

Accelerate case reviews, identify documentation gaps, and produce audit-ready summaries without manual extraction.

CDI Specialists

Query records for ambiguous conditions, missing documentation, and clinical justification before physician queries go out.

Payer Audit Teams

Validate submitted codes against clinical narratives using natural language prompts — no custom query language required.

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Enterprise-Grade Security & Compliance

CodeDoctor MCP™ is built with healthcare security at its core — every prompt and AI response is fully auditable.

HIPAA Compliant End-to-end encryption and strict access controls
PHIPA Certified Meets Canadian privacy regulations
Full Audit Trail Every prompt and AI response logged
Flexible Deployment On-premise or secure cloud options

Bring Conversational Intelligence to Clinical Documentation

Transform coding from a manual task into an AI-assisted clinical reasoning process — upload, ask, validate, and code with confidence.

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