Module 1 Narration#
Opening#
Open with the professional setting: a population health team prioritizing outreach for patients with elevated near-term risk. 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 Population health data ecosystems in the context of Predictive Analytics in Population Health.
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: risk stratification brief with equity checks, intervention criteria, and monitoring plan focused on population health data ecosystems: Map datasets and governance constraints.. Students should leave knowing exactly what artifact they are producing and how it will be judged.