Clinical Anonymization

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

elisaterumi-ai Updated

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

elisaterumi-ai/agent-skills-in-practice/tree/main/examples/clinical-anonymization commit 2c5abdf206

Frequently asked questions

npx skillmds@latest add elisaterumi-ai/clinical-anonymization