Module 7 Narration#
Opening#
Open with the professional setting: a clinical informatics committee evaluating decision support before adding it to a clinician workflow. Ask students what decision is being made, who is affected, and what evidence would be persuasive to a skeptical reviewer.
Middle#
Move through the module in four passes:
Define Regulation, liability, and monitoring in the context of AI for Clinical Decision Support.
Walk through the lab as a proxy-data exercise, emphasizing what it can and cannot show.
Compare a baseline with an AI-enabled or more sophisticated alternative.
Translate the result into stakeholder language: recommendation, risk, mitigation, and next evidence.
Closing#
Close by returning to the module artifact: clinical decision support safety case with escalation, override, and monitoring requirements focused on regulation, liability, and monitoring: Draft an accountability and monitoring plan.. Students should leave knowing exactly what artifact they are producing and how it will be judged.