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Prepare staff to question an AI output

Training should help the intended users understand what a system is designed to do, where it may fail and how to obtain help.

Ai and virtual-care workflows learning and planning

Use realistic practice cases

Practise the interface, documentation and escalation process using authorised training material. Include incomplete inputs and situations outside the intended use.

Explain limitations clearly

Make version changes and known limitations visible. Avoid presenting a confidence value as a guarantee or treating agreement with a model as the goal of training.

Keep review ongoing

Assign ownership for refresher training and incident reporting. The responsible organisation should determine appropriate competency requirements and whether a tool fits the clinical setting.

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