COMPEL Glossary / hipaa
HIPAA
The Health Insurance Portability and Accountability Act (HIPAA) is a US federal law that establishes strict requirements for protecting sensitive patient health information (Protected Health Information, or PHI) from unauthorized disclosure, with severe penalties for violations.
What this means in practice
For organizations deploying AI in healthcare, HIPAA compliance affects every aspect of AI development: training data must be appropriately de-identified or covered by a Business Associate Agreement, model access must be restricted to authorized personnel, and audit trails must document all access to PHI. The intersection of AI and HIPAA creates unique challenges because AI models may memorize and potentially reveal patient information from their training data. In COMPEL, HIPAA is one of the sector-specific regulatory frameworks assessed during the Governance pillar evaluation, with healthcare AI patterns covered in Module 2.6, Article 3.
Why it matters
For organizations deploying AI in healthcare, HIPAA compliance affects every aspect of AI development, from training data handling to model access controls and audit trails. The intersection of AI and HIPAA creates unique challenges because AI models may memorize and potentially reveal patient information from their training data. Violations carry severe penalties including fines up to $1.5 million per incident and potential criminal prosecution.
How COMPEL uses it
HIPAA is one of the sector-specific regulatory frameworks assessed during the Governance pillar evaluation in Calibrate. Healthcare AI patterns are covered in Module 2.6, Article 3. During Model, HIPAA requirements shape data handling, de-identification, and access control designs. The Produce stage implements HIPAA-compliant AI infrastructure. The Evaluate stage audits compliance, including verification that AI models do not expose protected health information.
Related Terms
Other glossary terms mentioned in this entry's definition and context.