auditing-safe-harbor-checklist

Verify de-identified clinical text against all 18 HIPAA Safe Harbor identifier categories.

5.0k|615|Updated Oct 4, 2025
One-click install
npx skills add https://github.com/maziyarpanahi/openmed --skill auditing-safe-harbor-checklist
Or copy as Structured Prompt for Agent
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Skill: auditing-safe-harbor-checklist
Source: https://github.com/maziyarpanahi/openmed/tree/main/skills/auditing-safe-harbor-checklist
Command: npx skills add https://github.com/maziyarpanahi/openmed --skill auditing-safe-harbor-checklist

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill helps verify whether de-identified clinical text addresses all 18 HIPAA Safe Harbor identifier categories and highlights residual re-identification risks that automated masking may miss.

Core Features & Use Cases

  • 18-Category Coverage Checks: Map OpenMed detections to HIPAA Safe Harbor classes and identify categories that require review.
  • Risk and Edge-Case Review: Flag ages over 89, date and ZIP-code transformations, rare geography, fax numbers, biometrics, full-face images, and combinations of quasi-identifiers.
  • Compliance Workflow Guidance: Combine extract_pii and deidentify results with residual-risk assessment, human sign-off, and appropriate handoffs to audit, policy, and expert-review workflows.
  • Use Case: After de-identifying a clinical note, use this Skill to produce a category coverage report, identify unresolved Safe Harbor concerns, and guide a reviewer through final compliance assessment.

Quick Start

Use the HIPAA Safe Harbor checklist to review the de-identified clinical note, map detected entities to the 18 categories, and report coverage gaps and residual re-identification risks.

Frequently Asked Questions about auditing-safe-harbor-checklist

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I verify HIPAA Safe Harbor compliance for de-identified clinical text?

A HIPAA Safe Harbor coverage review checks de-identified clinical text against all 18 HIPAA Safe Harbor identifier categories to find residual re-identification risk. It applies to post-de-identification coverage reviews, clinical note release decisions, and human sign-off under 45 CFR 164.514(b)(2).

How do I check de-identified clinical notes for all 18 HIPAA Safe Harbor identifier categories?

Checking de-identified clinical notes for all 18 HIPAA Safe Harbor categories involves mapping OpenMed detections to Safe Harbor classes and flagging unresolved concerns. The review produces a category coverage report to guide final compliance assessment and human sign-off.

What residual re-identification risks should I look for during a HIPAA privacy audit?

Residual re-identification risks to look for during a HIPAA privacy audit include ages over 89, date and ZIP-code transformations, rare geography, fax numbers, biometrics, full-face images, and combinations of quasi-identifiers that automated masking may miss.

Can I use OpenMed extraction outputs for HIPAA de-identification compliance checks?

Yes, you can use OpenMed extraction outputs for HIPAA de-identification compliance checks by combining extract_pii and deidentify results with residual-risk assessment. This guides reviewers through final compliance assessment and handoffs to audit or policy workflows.

What are the limitations of automated masking for HIPAA Safe Harbor de-identification?

The limitations of automated masking for HIPAA Safe Harbor de-identification include missing residual re-identification risks like ages over 89, rare geography, biometrics, and quasi-identifier combinations. Human sign-off and expert-review workflows are required to resolve these unresolved Safe Harbor concerns.