# Module 8 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:

1. Define **Population analytics portfolio** in the context of Predictive Analytics in Population Health.
2. Walk through the lab as a proxy-data exercise, emphasizing what it can and cannot show.
3. Compare a baseline with an AI-enabled or more sophisticated alternative.
4. 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 analytics portfolio: Deliver an analytics brief and model card.**. Students should leave knowing exactly what artifact they are producing and how it will be judged.