Buyer guides / psychiatry

Which AI scribes fit private-practice and mid-size psychiatry groups, which are built for hospital systems, and how to evaluate cost, BAA, and template fit.

How AI scribes handle 20-minute psychiatric med checks — dose changes, side-effect review, adherence, DSM-5 reassessment, and structured medication lists.

Which AI scribes produce a usable 60-minute initial psychiatric evaluation — HPI, past psychiatric history, MSE, risk, DSM-5 differential, and plan.

The specific HIPAA, BAA, encryption, audio-retention, and 42 CFR Part 2 checks a psychiatrist should run before using any AI scribe with real patients.

How ambient AI scribes compare with Dragon-style dictation for psychiatric documentation — time savings, accuracy, control, and hybrid workflows.

Which AI scribes capture Zoom, Doxy.me, and native-telehealth visits cleanly — browser-tab audio, system audio, and multi-speaker handling.

How AI scribes handle multi-speaker child and adolescent psychiatric visits with parents, developmentally appropriate language, and school-consult calls.

How AI scribes fit PMHNP workflows: medication management cadence, collaborative-practice documentation, state supervision rules, and template needs distinct from psychiatrists.

How AI scribes integrate with psychiatry EHRs — depth of integration, copy-paste vs API, template mapping, and what to verify before signing a contract.

What AI scribes actually cost for psychiatric practices in 2026 — published tiers, negotiated group pricing, hidden add-ons, and ROI math against clinician time.

How AI scribes handle SUD psychiatric documentation under 42 CFR Part 2 — vendor readiness, MAT program notes, and workflow safeguards.

How AI scribes handle audio retention, note storage, model training, and subprocessor use — and what psychiatric practices should verify.

A practical protocol for auditing AI scribe note accuracy on psychiatric visits — the specific failure modes to look for and how to systematically catch them.