The best evaluation does not start with the name of the AI model. It starts with the workflow the physician needs to complete. These 12 criteria help determine whether the tool captures the visit, generates a useful draft, protects access, and reduces rework under real-world conditions.
Criteria 1 through 3: capture, context, and structure
1. Capture: test in-person visits, telemedicine, noise, and connection failure. 2. Attribution: confirm that the physician, patient, and accompanying person remain identifiable. 3. Structure: check whether the output goes into the correct clinical template without requiring each passage to be copied and pasted.
A polished transcript can hide the main problem. The final document must separate history, findings, assessment, and plan predictably while preserving negations, uncertainty, and the source of the information.
Criteria 4 through 6: review, customization, and exceptions
4. Review: can the physician quickly locate and correct critical points? 5. Customization: can templates be adapted by specialty and visit type? 6. Exceptions: is there a clear path when the audio fails, the patient refuses, or the draft is incomplete?
Be wary of workflows that treat approval as a formality. The interface should facilitate reading, editing, and confirmation while also preventing the draft from being sent accidentally. The failure scenario must be as well designed as the ideal demonstration.
Criteria 7 through 9: data, access, and lifecycle
7. Data flow: identify where audio, text, and the document are processed. 8. Access: test roles, invitations, revocation, and separation between teams. 9. Lifecycle: confirm retention, deletion, export, backup, and contract termination.
Request responses in writing and compare them with the product's behavior. A generic policy does not replace a description of the actual flow. For clinics, verify whether front desk staff, physicians, and managers can work with the minimum necessary access.
Criteria 10 through 12: integration, support, and results
10. Integration: measure how many steps still require switching screens or duplicating data. 11. Support: simulate a capture-related question, an account correction, and a privacy request. 12. Results: compare time to approval, relevant corrections, and pending items against the baseline.
Price alone does not show operational cost. Include training, template adaptation, review time, and the work required to exit. A less expensive solution may cost more if it creates rework or relies on parallel processes.
A simple pilot matrix
Give each criterion a score from 0 to 2: does not meet, partially meets, or meets in the real workflow. Treat capture, review, access, and lifecycle as disqualifying criteria. The remaining criteria may be prioritized based on specialty and team size.
Record examples of failures, not just the score. At the end, the decision should answer three questions: was the document faster to complete, did the physician retain clinical control, and can the clinic explain how the data are processed?
Frequently asked questions
Which AI model is best for medical documentation?
The model name alone is not enough. Evaluate the complete solution: capture, context, clinical templates, review, privacy, support, and results in equivalent visits.
How many visits should I use in the pilot?
There is no universal number. Start with enough volume to repeat the most common visit types, without expanding before understanding errors and adjusting the templates.
Can I choose based solely on transcription accuracy?
No. Transcription is one step. Operational value depends on the structured document, the review, and how the output enters the clinic's workflow.
Sources and references
References consulted while preparing this guide. The article update date appears at the top of the page.
- Information Security Guidance for Small-Scale Data Processing AgentsNational Data Protection Authority
- Code of Medical Ethics, CFM Resolution No. 2,217/2018Federal Council of Medicine
Update history
- Original publication