Module 3 Overview#

Theme#

Diagnostic assistance and triage

Essential Question#

How can AI support diagnosis without replacing clinical judgment?

Module Components#

  • Book prose: conceptual framing, domain scenario, methods, and failure modes

  • Assignment: evidence-backed production of a specific artifact

  • Slides: presentation sequence for seminar or lecture delivery

  • Narration: spoken version of the slide flow

  • Instructor notes: facilitation plan, discussion prompts, and grading cues

  • Rubric: criteria for evaluating the module artifact

  • Notebook: executable lab aligned with the module theme using synthetic encounter records with symptoms, contraindications, guideline triggers, and alert outcomes

Module Artifact#

clinical decision support safety case with escalation, override, and monitoring requirements focused on diagnostic assistance and triage: Design a triage decision-support flow.

Professional Setting#

Students work as if advising a clinical informatics committee evaluating decision support before adding it to a clinician workflow. Their work must be intelligible to clinician, informaticist, patient safety officer, and EHR analyst.