Evaluating AI documentation software: 12 questions for practice owners
Do not judge documentation software on a single polished demonstration alone. Check data flows, the consent process, behaviour under disruption, correction options, retention, hand-off, support and total cost in the real practice workflow.

Editorially checked against product behaviour and the stated primary sources; not individual medical or legal advice.
This overview is general information, not legal advice. The practice must check the legal basis, information duties, consent process and data protection measures for its specific use with its own legal or data protection adviser.
Data flow and confidentiality
The first four questions clarify which content goes where, and who is responsible for it.
- 1. Does the audio recording stay on the practice computer, or is it transmitted?
- 2. Which text content leaves the computer, for what purpose, and to which recipients?
- 3. Which contracts, sub-processors and technical safeguards apply?
- 4. When are audio, transcript and draft each deleted or retained?
Workflow in the consultation room
The next four questions show whether the software holds up outside a prepared demonstration.
- 5. Does the application prevent a recording before the defined consent process?
- 6. Do pause, resume and multiple segments remain part of the same session?
- 7. What is preserved if the microphone, connection or a processing step fails?
- 8. Which spoken languages and which output language are actually supported?
Review and hand-off
The final four questions concern the path from draft into the existing practice workflow.
- 9. Can the doctor review the transcript, speaker attribution and draft before accepting it?
- 10. Do corrections stay traceable, with nothing written unreviewed into the medical record?
- 11. How does the approved text reach the existing practice software, and which platforms are supported?
- 12. What does the pilot include, how is support reached, and what costs apply afterwards?
Verify answers in the pilot
Do not settle for yes/no answers alone. Have data flows described in writing, and run through a typical appointment, a pause, a correction and a failure. Open points belong in the pilot log, with an owner and a deadline.
Frequently asked questions
Which question separates local from cloud-based processing?
Ask about audio and text separately. A locally installed application can process audio locally and still transmit text for a later step.
Why does failure behaviour belong in the comparison?
Because a practice workflow must stay comprehensible even during a disruption. Content already recorded should be preserved, and a later retry should be possible.
Is a product demonstration enough for the decision?
No. A limited pilot with typical appointments, interruptions and the actual hand-off shows more than a prepared, ideal run-through.