Evaluating an AI scribe vendor

About clinicgpt.ai: We do not sell an ambient scribe, rank vendors, or take placement fees. This page is a buyer-education checklist. The only interactive tool on this domain is a browser-only SOAP demo. Contact is general, not a sales walkthrough.

Why a checklist beats a demo day

Ambient demos are optimized to look magical on a clean sample visit. Purchasing risk lives in the unglamorous parts: where audio rests at 2 a.m., how often clinicians rewrite assessments, whether the BAA matches your counsel’s redlines, and what you pay when utilization doubles. Score vendors on criteria, not on who brought better lunch.

This page names criteria only. We deliberately avoid endorsement-style vendor rankings. If you need category vocabulary first, read what ambient AI scribes are.

1. BAA and data handling

For any vendor that will receive PHI (almost all real ambient products), require:

A Business Associate Agreement before pilot PHI flows (HHS BA context; as of 2026-07-21)
Written answers on training use of your data (foundation-model training: yes/no, and under what controls)
Subprocessor list (ASR, cloud, support access) with regions
Breach notification timelines consistent with your policies

If a vendor will not sign a BAA, they are not a fit for production PHI — full stop. Reminder: clinicgpt.ai offers no BAA; do not treat this site as a substitute vendor. Details: AI scribes and HIPAA.

2. Where audio and transcripts live, and for how long

Ask in writing:

Topic	What “good enough” looks like
Storage region	Named cloud regions you can accept
Retention default	Explicit days/months for audio vs transcript vs draft note
Deletion	Documented purge on request and at end of contract
Access	Role-based access; support “break glass” logged
Export	You can export or delete your corpus when leaving

“We delete immediately” marketing claims still need a retention schedule that matches reality (backups, logs, abuse queues).

3. Accuracy and edit-rate evidence

Demand measurement definitions:

Edit rate: character/token/section-level? On your specialty or only vendor’s cherry-picked dataset?
Omission sampling: dual-review of a random note sample for missing meds, allergies, plan items
Hallucination sampling: invented findings or denials
Specialty coverage: primary care vs behavioral health vs procedure-heavy visits behave differently

A vendor that cannot explain how they measure quality is asking you to buy atmosphere. Industry reports (for example KLAS-style category research) can inform questions, not substitute for your pilot metrics — if you cite any third-party report, note its publication date and that it is not an endorsement by clinicgpt.ai.

4. EHR integration reality

Clarify the integration tier you are buying:

Copy-paste — always works; always friction
Browser extension / ambient sidebar — medium friction
Deep EHR partnership (APIs, embedded workflow) — longer sales cycle; verify your EHR version is supported
FHIR DocumentReference or similar — ask which resources, which EHR apps, who maintains the connection

“We integrate with Epic/athena/etc.” is incomplete until you know which workflow and who paid for the build.

5. Clinician-review workflow

Minimum viable governance:

Forced review UI before sign
Ability to reject entire draft
Clear labeling that content is AI-assisted until signed
Optional disclosure footer support (keeping the clinician responsible)
Audit log of model/version/draft/final when your risk team requires it

If the product can auto-file without a human click, treat that as a risk feature, not a productivity win, unless compliance has explicitly approved it.

6. Total cost (not just seat price)

Build a simple TCO sheet:

Per-provider subscription
Per-note or per-hour overages
Implementation / template tuning fees
EHR interface fees (vendor and EHR marketplace)
Mic hardware and replacement
Clinician time still spent editing (the real ROI term)
Exit / data export fees

Cheap seats with high edit rates lose to expensive seats with low edit rates. Measure minutes of clinician documentation time before and during pilot, not only “notes generated.”

Pilot design that answers the question

A four-to-six-week pilot with 5–15 clinicians usually beats a one-day showcase:

Baseline: documentation minutes and after-hours EHR time for two weeks
Turn on ambient for matched visit types
Sample 20–50 notes for omission/hallucination dual review
Survey cognitive load and patient-facing eye contact (subjective but useful)
Re-run BAA and security questionnaire before expansion

What clinicgpt.ai will not do

Broker introductions for a fee
Claim our demo predicts vendor quality
Provide pricing, SLAs, or customer references for a ClinicGPT product (there is no production product on this domain)

If you only need a hands-on feel for SOAP structure with no data sharing, use the homepage demo and read how this demo works. For general questions about these educational materials, use contact.