CultureAI
Healthcare

Rolling out AI scribes safely across a 40-clinic healthcare group

Clinicians were already using AI scribes and chatbots to cut admin time. The security team needed patient data protected without taking those tools away.

Industry
Private healthcare
Size
4,200 staff, 40 clinics
Region
United Kingdom
0%

drop in patient-identifiable data reaching public AI tools

0 weeks

from first visibility to an approved AI scribe rollout

0

real-time nudges guided clinicians in the first quarter

The challenge

Clinical and admin staff had quietly adopted AI scribes, transcription tools and chatbots to keep up with documentation. Some were approved trials; most were personal accounts the security team could not see.

Patient-identifiable data in a prompt is not a hypothetical risk for a healthcare provider: it is a reportable incident. But blocking AI outright would have pushed usage onto personal devices and cost clinicians hours of admin time every week.

The approach

Discover, control, detect, prove

01

Discover

Browser and desktop sensors surfaced every AI interaction across the group within days, including AI features embedded inside existing clinical and office SaaS.

02

Control

Real-time guardrails warn or block when patient-identifiable data is detected in a prompt or upload, and redirect clinicians to the approved scribe.

03

Detect

Pre-trained models recognised patient data in free-text prompts, partial pastes and screenshots. No classification project, live in hours.

04

Prove

A full audit trail gave the governance board and information-governance team the evidence to approve the AI scribe rollout with confidence.

The results

  • Patient-identifiable data reaching public AI tools fell by 92% in the first quarter, driven almost entirely by in-the-moment guidance rather than blocking.
  • The group approved its AI scribe rollout six weeks after deployment, with usage policies enforced at the point of use rather than on paper.
  • Clinicians kept the tools that were saving them hours of documentation each week; the security team kept the evidence to prove it was safe.
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Guidance in the moment, not an alert in a queue

We went from "we think people are using AI" to knowing exactly what was happening, and guiding it, in under a week. That is what let us say yes to the scribes.
Head of Information Security, private healthcare group

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