AI in healthcare

Bundled AI costs nothing and needs no migration. Its ceiling is the record underneath it — which matters more if you never file a claim.

There's no special HIPAA exemption for AI. What compliance actually requires when an EHR uses AI on PHI — BAAs, minimum necessary, and audit logging.

An AI scribe documents the visit. An AI-native EHR connects the whole workflow around that intelligence — a feature versus an architecture.

AI-powered means AI was added to an existing EHR. AI-native means it was built around AI from the start — and that difference decides what it can do.

AI in an EHR should prepare the work, not make the clinical decision. What human-in-the-loop actually means, and how to tell if a system respects it.

An AI-native EHR is built around AI from the workflow foundation, not bolted on afterward. Here's what that means, and why the distinction matters.

A walk through Zenthea's e-prescribing workflow: the prescriber selects the medication, the patient chooses the pharmacy, and a clinician signs every script.

The case for rebuilding the electronic health record around a clinical AI assistant and the phone in a clinician's pocket, not the desktop.