HIPAA AI Tool Vetting Checklist
A structured checklist for evaluating AI tools before allowing staff to use them in patient care or administrative contexts involving PHI. Covers BAA availability, data residency, training data policy, security certifications, subprocessor disclosure, data retention and deletion terms, and incident notification procedures. Includes scoring rubric and minimum requirements for HIPAA-eligible use.
Short answer
A structured checklist for evaluating AI tools before PHI is shared: BAA availability, data residency, training data policy, security certifications, subprocessor disclosure, retention and deletion terms, and incident notification — with a scoring rubric and minimum HIPAA-eligible use threshold.
What is inside
- BAA availability section: does the vendor offer a BAA, on which pricing tier, what does the BAA cover, and what does it exclude — critical because many AI vendors offer BAAs only at enterprise pricing tiers
- Training data policy evaluation: the single most important question for AI tools — whether the vendor uses customer inputs to train or improve their models, because if they do, no PHI may ever be entered
- Data residency and foreign data storage: confirmation that data is stored and processed on U.S. servers, relevant for covered entities operating under U.S. law and for any state law requirements
- Security certification check: SOC 2 Type II, ISO 27001, HITRUST CSF — what certifications the vendor holds and whether the certificate covers the specific product being used
- Scoring rubric with a defined minimum threshold: specific criteria that must be met before any PHI may be shared with the tool, regardless of how useful the tool is in practice
We publish the same practical templates and decision tools that clinics use to structure recurring HIPAA work. No enterprise gate. No resource-library gimmicks. Just practical material delivered quickly.
Editorial details
Written by: Angel Campa
Reviewed by: PHIGuard Compliance Research
Updated: April 28, 2026
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