Module 2 Narration

Module 2 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 Risk stratification and prediction 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 risk stratification and prediction: Build or specify a risk stratification model.. Students should leave knowing exactly what artifact they are producing and how it will be judged.