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ai scribe pilot playbook: a safe 2-week sprint for primary care

a practical, non-clinical rollout plan for ai scribes: pilot design, clinician training, quality checks, and scaling rules for gp settings.

This playbook assumes you already have governance owners identified (IG + clinical safety + operational lead). The objective is not ‘AI for AI’s sake’—it is measurably better documentation workflow with controlled risk and a clear stop/go decision.

Design principle: narrow first, scale second

Start with a constrained set of note types/templates and a small clinician cohort. Prove quality and safety with spot checks before expanding.

The 2-week sprint (what to do each day)

1

Day 0 — Pick owners and define scope

Name an operational owner (day-to-day), an IG point, and a clinical safety point. Write a one-paragraph scope: which clinics, which outputs, and the human sign-off rule.
2

Day 1 — Configure templates (minimum viable)

Choose 1–3 note templates that match how your practice actually documents. Decide where outputs will live before EPR entry (draft area vs direct paste).
3

Day 2 — Create the ‘gold standard’ examples

Build 5–10 example drafts showing acceptable structure/length. These become training anchors for clinicians and consistency checks for outputs.
4

Day 3 — Micro-training (30 minutes)

Teach: how to speak for structure, how to correct fast, and what not to accept. Make ‘delete invented detail’ a default habit.
5

Day 4 — Start with shadow mode (optional)

If governance prefers, run shadow mode: tool drafts outputs but clinicians do not paste into record. Compare quality against clinician notes.
6

Days 5–8 — Live pilot with daily spot checks

Run live with 2–4 clinicians. Each day, spot-check a small sample of notes (self-audit or buddy audit) for omissions, misattribution, and ‘note bloat’.
7

Day 9 — Capture user friction and failure modes

Log what breaks: accents, noisy rooms, interruptions, multi-problem consultations, and handover complexity. Decide mitigations (environment, workflow, retraining).
8

Day 10 — Define scaling criteria

Agree objective thresholds: error rate acceptable, clinician satisfaction, time saved, opt-out rate, and governance sign-off.
9

Days 11–13 — Expand cautiously (one dimension at a time)

Add either more clinicians OR more note templates, not both simultaneously. Keep spot checks going.
10

Day 14 — Produce the decision memo

Write a one-page decision memo: outcomes, risks, mitigations, and whether to scale, pause, or stop.

Quality control (simple rules that catch most issues)

1

Rule 1 — ‘No surprises’

If something appears in the draft that was not said/observed/verified, remove it immediately.
2

Rule 2 — ‘Shorter is safer’

Trim boilerplate. Keep only what matters for record integrity and continuity of care.
3

Rule 3 — Separate patient-reported vs clinician-confirmed

Where helpful, label statements by source to reduce downstream confusion.
4

Rule 4 — Weekly pattern review

Identify recurring failure modes and adjust templates/training accordingly.
5

Rule 5 — Incident route is explicit

If a documentation safety issue occurs, the reporting route is clear and used (no stigma).
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References

NHS England: Guidance on AI-enabled ambient scribing products
NHS England: DTAC (procurement/due diligence baseline)
GMC: AI and innovative technologies (professional standards framing)