synthetic-health-data

Official

Generate and de-identify health data for secure development and testing.

AuthorInnerScopeHearing
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill provides tools for generating realistic health data for development and testing environments, and de-identifying real health data to comply with HIPAA regulations, ensuring sensitive information is protected and data privacy is maintained.

Core Features & Use Cases

  • Synthetic Data Generation: Fabricate realistic health data (hearing screenings, patient records, customers, orders) for dev/test/agent work without exposing PHI.
  • De-identification: Strip personal identifiers from real health data to HIPAA Safe Harbor standards.
  • Use Case: A healthcare developer working on a new application needs to create a test environment. Using this Skill, they can generate synthetic health data to simulate real-world scenarios without violating privacy laws.

Quick Start

To generate synthetic hearing screening data with 20 records, run:

node gen.mjs hearing-screening --count 20 --seed 42

Dependency Matrix

Required Modules

nodecryptofspath

Components

scriptsreferences

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: synthetic-health-data
Download link: https://github.com/InnerScopeHearing/otchealth-claude-tools/archive/main.zip#synthetic-health-data

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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