# Ratchet Clinical Charting

> Use this tool when you need to streamline clinical documentation and automate note-taking for patient visits. It solves problems of inefficient charting and data entry by generating accurate clinical notes and seamlessly integrating with EMR systems through the PointCare API. Ideal for healthcare providers, it accepts patient visit data as input and produces formatted clinical notes as output, with a mock mode for testing and validation.

Canonical page: https://skillsregistry.net/skills/m2ai-ratchet-clinical-charting  
JSON: https://api.skillsregistry.net/v1/skills/m2ai-ratchet-clinical-charting

## Description

Ratchet Clinical Charting enables AI-assisted clinical documentation by connecting to EMR systems. Supports documenting patient visits, generating clinical notes, and submitting them to electronic medical records through the PointCare API. Includes a mock mode for testing without EMR connectivity.

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/m2ai-ratchet-clinical-charting)
- **Repository:** <https://github.com/m2ai-mcp-servers/chartinghero>

## 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": "m2ai-ratchet-clinical-charting"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/m2ai-ratchet-clinical-charting` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/m2ai-ratchet-clinical-charting/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