Scalemind AI at the Private GP Summit 2026: Drawing the Safe Boundary for Patient Information
Douglas, Isle of Man — 12th October 2026
Scalemind AI took part in the Private GP Summit 2026 on the Isle of Man from 9 to 11 October, contributing a mastermind session on a practical question for healthcare: what happens to sensitive patient information when it is entered into an AI tool?
Led by Ben Higham-Smith, “Using AI with Sensitive Patient Information: Drawing the Safe Boundary” focused on the checks that need to sit behind an apparently simple task, such as drafting a referral or summarising a consultation.
Follow the information, not just the prompt
A clinician might see a box to type into and an answer appearing on screen. Behind that interaction, information can pass through a much wider system.
The prompt, attachments and generated output may be handled by different services. Chat history, application logs, connected systems, support access and backups can introduce further places where information is processed or retained.
Understanding the Data Journey
Before using identifiable patient information, a practice needs to understand that journey. Where is the information processed? Which providers and subprocessors handle it? Who can access it, and under what circumstances?
What we would want answered before live use
Our approach starts with a defined purpose and a clear understanding of the information needed to achieve it. For a proposed workflow involving sensitive patient information, the following questions deserve specific answers:
What information is genuinely necessary?
Use fictional information for testing wherever possible, and minimise what enters the live workflow. Removing a patient’s name alone does not necessarily make a record anonymous.
Where will it be processed?
Check the processing locations and any transfers, including those involving subprocessors, rather than relying only on the supplier’s registered address.
What can be retained?
Zero data retention is a starting requirement in our approach to model processing of identifiable patient information. Its exact scope must be verified, including any exceptions. The surrounding application’s storage and logging need separate checks.
Who can access it?
Permissions, administrative access and support arrangements should be explicit. Connecting an AI assistant must not give employees access to information they were not otherwise entitled to see.
Can it be used for training?
Confirm the applicable terms and settings for the actual service and account being used.
Who reviews the result?
A named person must remain responsible for checking clinical content before it is relied upon.
Keep clinical judgement in the workflow
A fluent answer can still omit a relevant detail, misinterpret a record or introduce something that was never in the source material.
For a referral draft, the clinician needs to check that the information is accurate, necessary and appropriate for the recipient. An AI-generated draft does not transfer that responsibility to the software provider.
The workflow should make review straightforward. Staff need to know which tools and uses are approved, what information they may share, what they must check and how to report a problem. That is more useful than a general instruction to “use AI responsibly” without explaining what it means in practice.
Governance has to survive day-to-day use
The boundary also needs to hold when the system changes. A new integration, a different model provider or a revised logging setting can alter how information is handled.
Clear ownership, access controls, supplier checks and change reviews help an organisation maintain that boundary after the initial approval. A certification badge or a polished demonstration is not a substitute for checking the actual workflow.
The ScaleMind Summit Core Framework
Our contribution to the summit centred on making those decisions concrete: define the task, trace the information, approve the safeguards under certified ISO 27001 & ISO 42001 governance and keep a human accountable for the outcome.
Continuing the discussion after the summit
We were pleased to contribute alongside our sister company, Dynamic HR, whose separate session explored employee management and scheduling in healthcare through Dynamic EMS, Dynamic Schedules and the Cadence Engine.
Thank you to the Private GP Summit 2026 organisers and everyone who took part.
Considering an AI Workflow in Your Practice?
If your practice is considering an AI workflow, contact Scalemind AI to discuss the task and the controls it would need.