# DingDawg Healthcare

> Use this tool when you need to automate and govern healthcare workflows with AI, solving problems like patient intake, clinical documentation, and compliance analysis. It takes in patient data and clinical information, producing outputs like summarized documentation, medical coding, and audit trails. Ideal for regulated clinical environments requiring secure, traceable, and HIPAA-compliant AI interactions.

Canonical page: https://skillsregistry.net/skills/dingdawg-healthcare  
JSON: https://api.skillsregistry.net/v1/skills/dingdawg-healthcare

## Description

DingDawg Healthcare provides AI assistants with governed healthcare workflows including HIPAA-compliant patient intake, clinical documentation summarization with medical coding, and compliance gap analysis. Appointment scheduling with conflict detection and AI-optimized routing is available on paid tiers. All operations produce immutable audit trails stored on IPFS, making the tool suitable for regulated clinical environments requiring traceable AI interactions.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-02

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/dingdawg-healthcare)

## 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": "dingdawg-healthcare"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/dingdawg-healthcare` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/dingdawg-healthcare/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