# ICD-10-CM Medical Coding

> Use this tool when you need to accurately assign ICD-10-CM codes to clinical notes, discharge summaries, and lab reports. It solves problems related to medical coding efficiency and accuracy by extracting clinical problems and retrieving matching codes via semantic vector search. Ideal for healthcare professionals and organizations requiring streamlined and precise medical coding processes.

Canonical page: https://skillsregistry.net/skills/gh-ansh-bitontree-icd10-cm-medical-coding  
JSON: https://api.skillsregistry.net/v1/skills/gh-ansh-bitontree-icd10-cm-medical-coding

## Description

Implements ICD-10-CM medical coding capabilities using a three-stage RAG pipeline. Extracts clinical problems from notes, retrieves matching codes via semantic vector search, and selects the most accurate ICD-10 codes with rationale. Supports clinical notes, discharge summaries, and lab reports. Deployable to Render with SSE transport.

## Trust

- **Trust score (0–1):** 0.89
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** devops-ci
- **Updated:** 2026-09-28

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/gh-ansh-bitontree-icd10-cm-medical-coding)
- **Repository:** <https://github.com/ansh-bitontree/icd10-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "gh-ansh-bitontree-icd10-cm-medical-coding"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/gh-ansh-bitontree-icd10-cm-medical-coding` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/gh-ansh-bitontree-icd10-cm-medical-coding/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
