How to evaluate an AI scribe: a 12-point checklist for GCC clinics
A vendor-neutral checklist for choosing the best AI scribe for your doctors, covering language, traceability, EMR write-back, data residency and how to run a fair pilot.
The best AI scribe for doctors in the GCC is the one that handles your patients' languages, shows where every sentence came from, writes into your record, and keeps patient data where your regulator expects it. Demos all look good. The 12 questions below help you find the differences. We build Verto, so we will tell you where we think we fit, and where we might not.
Why a checklist matters
There are now many AI scribes, from global names such as Abridge and Heidi to regional players such as Sahl AI. Most produce a readable note from a clean English recording. The differences show up in real clinics: dialects, noisy rooms, long medication lists, and what happens after the note is drafted. If you are new to the technology, our AI medical scribe guide explains the pipeline first.
The 12-point checklist
| # | Question | What a good answer looks like |
|---|---|---|
| 1 | Which languages and dialects does it handle? | Automatic per-sentence switching; a named, tested dialect; honest limits on mixed sentences |
| 2 | Can every fact be traced to its source? | Tap a line, see the exact utterance, speaker and time, and replay the audio |
| 3 | What happens to unsourced statements? | They are kept out of the note until a clinician confirms them |
| 4 | How does review work? | Accept, edit or reject each fact; rejections flow through to note, chart and export |
| 5 | Does it write into the EMR? | Structured fields filled in your chart, not a text block to copy and paste |
| 6 | Can it stage orders? | Prescriptions, labs, imaging and referrals staged for one approval pass, never auto-sent |
| 7 | Does it suggest codes from the documentation? | ICD-10 and CPT suggestions with evidence, confirmed by the clinician |
| 8 | Does it fit your specialty? | Specialty templates and fields, not one generic SOAP layout |
| 9 | Where is the data processed and stored? | A named cloud and region that matches your residency needs; no unnamed sub-processors |
| 10 | Is your data used for training? | A clear contractual “no”, not an opt-out buried in settings |
| 11 | What controls exist? | Audit trail, role permissions, audio retention settings and a way to pause the AI |
| 12 | What does rollout look like? | Voice setup, training, local support and a pilot plan with your own measures |
Six areas behind the 12 questions
- Language and dialect
- Traceability and review
- Write-back, orders and codes
- Specialty fit
- Data, training and controls
- Rollout and support
The questions in more detail
Language and dialect (1)
Ask the vendor to run a mixed Arabic–English recording from your own clinic, not a prepared demo. Ask which dialect the speech recognition is tuned for. A vendor that is open about its limits is easier to trust than one that says everything works.
Traceability and review (2–4)
This is the single most important safety feature. If you cannot check a sentence against what was said, you are trusting the model's summary. Watch a clinician review a note in the product. Count the clicks needed to verify a medication dose. Then reject a plan item and check that it disappears from the note, the chart and the export.
Write-back, orders and codes (5–7)
A standalone scribe gives you a note to paste into your EMR. An EMR-integrated scribe can fill structured fields, stage orders and suggest codes on the same record your billing uses. Integration saves more time. It also raises the stakes, so check that nothing is committed without a clinician's click.
Specialty fit (8)
An ophthalmologist needs right and left eyes kept apart. A dentist needs tooth numbers. A physiotherapist needs outcome measures. Ask to see your own specialty's template filled from a recording.
Data, training and controls (9–11)
Ask exactly which companies process the audio and transcript, in which country, and for how long. Ask whether the vendor sends data to a third-party AI provider. Ask whether customer data trains any model. Get the answers in writing. Our article on self-hosted AI in healthcare explains why this matters in the GCC.
Rollout (12)
Adoption depends on the first two weeks. Ask who sets up microphones and voice profiles, who trains clinicians, and who answers the phone when something goes wrong.
Standalone vs EMR-integrated scribes
| Standalone scribe | Scribe inside the EMR | |
|---|---|---|
| Setup | Fast; works next to any EMR | Part of the EMR rollout |
| Output | Text note, usually copied into the chart | Structured chart fields, staged orders, code suggestions |
| Billing link | Manual | Accepted codes sit on the same record as the invoice and claim |
| Switching cost | Low | Tied to the EMR choice |
| Best when | You are happy with your EMR and only need notes | You are choosing or replacing your core system |
Neither is right for every clinic. If your EMR works well and you only want faster notes, a standalone scribe may be the practical choice. If you are reviewing your whole system anyway, a scribe inside the record removes the copy-paste step and connects documentation to orders and claims.
Standalone vs EMR-integrated
Standalone scribe
- Works next to any EMR
- Text note to copy in
- Manual link to billing
- Low switching cost
Scribe inside the EMR
- Part of the EMR rollout
- Structured fields and staged orders
- Accepted codes on the invoice record
- Tied to the EMR choice
Where Helix fits
Verto is built into the Helix EMR, so it scores strongly on write-back, staged orders and code suggestions. Every fact links to its source utterance and audio. Unsourced statements never reach the note unless a clinician confirms them. The AI models run in Helix's own cloud, with no third-party AI APIs and no training on customer data. Helix offers full GCC data residency and is HIPAA, SOC 2 and GDPR compliant. Our security page has the details.
Where might Verto not fit? If you plan to keep a different EMR, you lose most of what makes Verto different: write-back, staged orders and the link to billing. And Verto's Arabic recognition is tuned best for Egyptian Arabic, so clinics with mostly Gulf-dialect patients should include those visits in their pilot.
Red flags during a demo
- The demo only uses a prepared recording, and the vendor will not try one of yours.
- Nobody can show you where a sentence in the note came from.
- Accuracy is quoted as a single percentage, with no word on what was measured or how.
- Orders or codes are sent without an explicit clinician click.
- The answer to “where is our data processed?” is vague, or changes between the sales call and the contract.
- Training on customer data is on by default, with an opt-out.
How to run a fair two-scribe pilot
- Choose three or four clinicians across specialties and both languages.
- Agree on what counts as an error: invented fact, missing fact, wrong number or side, wrong speaker.
- Use each scribe on comparable sessions for the same period.
- For a sample of notes, check every fact against the recording and log the errors.
- Record your own time spent on notes, before and during the pilot.
- Ask clinicians which scribe they would keep, and why.
- Review the data-processing answers with whoever owns compliance, for example against UAE health authority requirements.
A fair two-scribe pilot
- Pick cliniciansAcross specialties and both languages
- Define errorsInvented, missing, wrong number or side, wrong speaker
- Run both scribesComparable sessions over the same period
- Check against recordingsEvery fact in a sample of notes
- Measure and askYour own time, and which scribe clinicians keep
- Review data answersWith whoever owns compliance
What is the most important feature in an AI scribe?
Traceability. You should be able to check any statement in the note against the exact words and audio it came from. Without that, reviewing the note means trusting the model's summary.
Should a GCC clinic choose a standalone or EMR-integrated scribe?
A standalone scribe suits clinics that are happy with their EMR and only want faster notes. An integrated scribe suits clinics choosing or replacing their core system, because it can fill chart fields, stage orders and link codes to billing.
How long should an AI scribe pilot run?
Long enough for clinicians to get past the learning curve and for you to review a real sample of notes against the recordings. Agree on the error definitions and time measures before you start.
What should I ask about data privacy?
Ask which companies process the audio and transcript, in which country, how long data is kept, whether a third-party AI provider is involved, and whether your data is used for training. Get the answers in the contract.
Related articles
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