Clinical Anonymization

Removes sensitive data from clinical text while preserving meaning. Use for healthcare data.

gabrielmoreira Updated 17 repo stars

File contents

Instructions

  1. Identify sensitive data:

    • Names
    • Dates
    • Locations
    • IDs
  2. Replace with placeholders:

    • [NAME]
    • [DATE]
    • [LOCATION]
    • [ID]
  3. Preserve clinical meaning

Output Format

  • Anonymized text

gabrielmoreira/agent-skills-mirror/tree/main/mirrors/repos/elisaterumi-ai@agent-skills-in-practice/examples/clinical-anonymization commit 2c5abdf206

Frequently asked questions

npx skillmds@latest add gabrielmoreira/clinical-anonymization