AI Compliance in Healthcare
Clinical AI sits at the intersection of AI-specific law, FDA device pathways, and HIPAA — three regulatory regimes that don't always ask the same questions.
Healthcare AI compliance rarely comes down to a single rulebook. A diagnostic or clinical-decision-support tool can simultaneously be a medical device subject to FDA review, a system processing protected health information under HIPAA, and a "high-risk" AI system under the EU AI Act or a state statute — three separate regulatory questions that have to be answered together, not sequentially.
The practical failure mode we see most often: a healthcare AI system clears FDA review and HIPAA data-handling requirements, and the team treats that as "done," without separately checking whether it also triggers AI-specific obligations — impact assessments, transparency disclosures, human oversight requirements — that neither the FDA nor HIPAA process required.
Frequently asked questions
- If an AI tool has FDA clearance, is it automatically AI-compliant?
- No. FDA clearance addresses device safety and efficacy; it doesn't address AI-specific obligations like impact assessments, algorithmic discrimination duties, or consumer notice requirements that state or EU AI law can separately impose on the same system.
- Does HIPAA cover the AI-specific risks of a clinical AI tool?
- HIPAA governs protected health information handling — access, use, disclosure, security. It doesn't address whether the AI model itself performs equitably across patient populations, which is exactly the kind of question AI-specific regulation and frameworks like the NIST AI RMF are built to cover.