HIPAA Compliance in the Age of AI: What You Need to Know

Any tool that records, transcribes, or stores patient conversations is handling protected health information (PHI), which means HIPAA's Privacy, Security, and Breach Notification Rules apply — regardless of how much of the pipeline involves AI.

A few things to look for when evaluating an AI documentation tool: does the vendor sign a Business Associate Agreement (BAA)? Is data encrypted in transit and at rest? Is access to PHI scoped and audited, so only the clinician who owns a record — or someone they've authorized — can read it?

Session and access logging matters too. HIPAA's Security Rule expects covered entities to be able to show who accessed what, and when. A documentation platform should support that with audit trails for logins, session activity, and data access, not just for the note content itself.

Data minimization is another practical consideration: does the tool retain raw audio longer than necessary, or route it through third-party services beyond what's needed to produce the note? The fewer places PHI travels through and lingers, the smaller the compliance surface.

None of this is exotic — it's the same due diligence you'd apply to any system touching patient data. The AI layer doesn't change the underlying obligation; it just adds one more processing step that has to meet the same bar as the rest of your EMR stack.