Who this is for
AI training for healthcare professionals
For doctors, nursing and allied health. It does not touch clinical decisions — it handles the other half of the job.
Healthcare professionals lose most of their non-clinical time to paperwork, checking guidelines and keeping up with the literature. This session covers only that half: using AI to organise documents, verify quickly, and de-identify patient data before it goes anywhere near a tool. The real question is not whether AI may be used, but which server the data ends up on. No clinical advice is given and no professional judgement is replaced.
What the session covers
- Turn a paper into a sparring partner before a journal club
- How to de-identify patient data, and the rule for non-approved tools
- Turn a meeting or case recording into a requirements list and follow-ups
- One test for what can be handed over and what stays with a person
Track record
August 2026 — a two-day, hands-on AI workshop delivered in Cantonese for close to a hundred Fellows of the College of Surgeons of Hong Kong.
Common questions
Does this cover clinical decision-making or diagnosis?
No. The session explicitly stays out of clinical decisions. The trainer is an AI adoption specialist, not a clinician. The value is in handing administrative and fast-research work to AI; clinical judgement stays entirely with the clinician.
Can patient data go into an AI tool?
On any tool your organisation has not provided, de-identify first, without exception. Even on an approved model, de-identify and confirm the improve-the-model setting is off. The question is not where you are using it — it is where the endpoint is.