Key points
- Physicians prefer learning inside the work. Their top choices in a 2026 AMA survey were training alongside EHR training, at 49%, and training while doing the job, at 46%.1
- In one emergency department, 35 of 92 attending physicians used an ambient scribe, with a small group doing most of the use.3
- Champions and weekly per-person measures spread use across the team. A 48-hospital network grew monthly use from 7.7% to 57.8% of consultations over a year.2
- In the EU, deployers of AI must take measures to support the AI literacy of their staff, and an internal training record is enough to show it.4
Summary
Train each role on its own work, inside real sessions, in the first two weeks. Name a clinician champion and a front desk champion, and track adoption per person every week. The whole team is working with AI within the month, with a training record ready for any regulator.
The whole team working with AI by the end of the first month, the evenings back and patients answered in minutes. The tools are ready on day one, and a short, role-based training plan with a weekly number attached brings everyone with them.
See it in your clinicThirty minutes on your own patients and doctors.
Request a demoSee a first session of wai on your own patients, with a note drafted and signed and a reply drafted and approved, so your team learns on real work from day one.
| Role | Before go-live | First two weeks | Weekly measure |
|---|---|---|---|
| Front desk | Thirty minutes on reading, editing and approving drafts on real past messages | Approve live replies with the front desk champion on hand | Time from patient message to approved reply |
| Clinician | Thirty minutes on the consent sentence and reviewing a drafted note | Use on every suitable consultation, edits shared at the huddle | Share of consultations with a drafted note, letters signed same day |
| Operations lead | Thirty minutes on roles, the event log and the incident route | Daily huddle, first log review at the end of week two | Per-person adoption, flat users followed up |
| Champions | An extra hour with the vendor on edge cases | One hour a week at the desk and in clinic | Number of colleagues helped, questions logged |
| New starters | Session in their first week, before live use | Shadow a champion for two sessions | Same measures as their role from week three |
Training inside the work
In the AMA's 2026 survey of 1,419 US physicians, 92% wanted more AI training.1 Their top choices were training as part of EHR training, at 49%, and training while doing the job, at 46%.1 So the clinic leads the plan, inside real sessions, with the vendor supporting it.
What each role learns
The front desk learns to edit a drafted reply into the clinic's voice, read the whole draft before approving it, and pass anything clinical to a clinician with the thread attached. Our guide to human approval sets out who approves which kind of message.
Clinicians learn the consent sentence for the patient and how to say findings aloud so the note captures them, and they read every note in full before signing.
The operations lead learns the role map and the weekly adoption numbers drawn from the event log, and owns the route for reporting anything that went wrong. The table sets out each role's first two weeks.
Short sessions inside real work
Each role gets one thirty minute session before go-live and then learns on live patients, with a champion on hand for the first week. A fifteen minute huddle at the end of each day in week one collects the edits people made and why, and becomes the clinic's own guide.
A new template or a new staff member gets a short session, recorded in the training log with the date and the trainer.
Champions carry adoption
In a Stanford emergency department study of 8,740 encounters, 35 of 92 attending physicians, 38%, used an optional ambient scribe, and a small group of high-frequency users accounted for most of the use.3
Name two champions, a clinician and a front desk lead, and give each an hour a week for the first month. They run the end-of-day huddle and sit with anyone whose numbers stay flat, until the keen users' habits become the clinic's standard.
Measure adoption per person, every week
Track each person weekly for the first eight weeks, using the measure for their role in the table, so everyone's progress is visible.
Across 48 hospitals in a Spanish hospital network, monthly use of an ambient scribe rose from 7.7% to 57.8% of eligible emergency consultations over twelve months, with 2,097 physicians using it at least once and 1,198 using it heavily.2 Set targets by week and review them with the champions, as in our guide to pilot success criteria.
Keep a training record
In the EU, Article 4 of the AI Act requires providers and deployers to take measures to support the AI literacy of their staff, and it has applied since 2 February 2025.4 The European Commission says an internal record of trainings is enough, and amendments in force from mid-July 2026 keep the obligation without mandating a specific level.4
Everywhere else the same record serves the clinic's governance. Keep a one-page log with each person, the tool, the date, the trainer and the next refresher.
How wai supports onboarding
A clinic starts with a fifteen minute demo on its own workflows with a clinician who uses wai daily. One clinician can try wai Clinicians on a seven day trial with limited use, and wai Admin starts with a demo and a scoped 90-day pilot.5
wai drafts, and the team approves or the clinician signs. Every message, draft, approval and signature is written to an event log the clinic can export, which gives the champions their weekly numbers from real work.6
Where to start
Name the two champions and book one thirty minute session per role in the week before go-live. Write the role rules on one page, with every note read before signing and clinical questions passed to a clinician.
Run daily huddles in week one and review per-person numbers weekly for eight weeks, then file the training log with the rollout plan. By the second month every role works with AI as a normal part of the day.
Request a demo with your operations lead and a clinician. We show the first session, the approvals and the weekly numbers on your workflows.
Frequently asked questions
How long does staff training take?
About thirty minutes per role before go-live, then learning on live work with a champion on hand. Most of the learning happens in the first week of real use.
Should the vendor run the training?
The clinic leads it and the vendor supports it. Physicians in the AMA survey preferred training inside their existing work.1
What is an AI champion?
A respected colleague, one clinician and one front desk lead, with protected time to run huddles and help anyone whose use stays low.
How do we bring every clinician on board?
Expect a gradual start. In one US emergency department 38% of attendings used an optional scribe at first.3 Look at per-person numbers, sit with each low user once and solve their specific reason.
Do we need a certificate to show staff are trained?
Under the EU AI Act, an internal record of trainings is enough, according to the European Commission, to show the AI literacy measures a deployer has taken.4
What should we measure to know training worked?
Per-person weekly use for the first eight weeks, plus the time from a patient's message to the approved reply. The table above sets out the measure for each role.
Sources
- 1American Medical Association, Center for Digital Health and AI, 20262026 Physician Survey on Augmented IntelligenceRead 14 October 2026Read source
- 2International Journal of Medical Informatics, 2026Deployment of an ambient AI scribe in emergency care, a 12-month evaluation in a large Spanish hospital network (PubMed abstract)Read 14 October 2026Read source
- 3Annals of Emergency Medicine, 2026Ambient Artificial Intelligence Scribe Adoption and Documentation Time in the Emergency Department (PubMed abstract)Read 14 October 2026Read source
- 4European Commission, 2026AI Literacy, Questions and AnswersRead 14 October 2026Read source
- 5wai, 2026PricingRead 14 October 2026Read source
- 6wai, 2026Security at waiRead 14 October 2026Read source
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