Use AI in Medicine / Course 6

From Search to Action

Design clinical answer engines and agentic workflows that preserve evidence, uncertainty, and human checkpoints.

intermediate 120 minutes 4 lessons
Begin lesson one
Who this is for
Physicians who already use ChatGPT or another general-purpose AI tool.
First course outcome
Write a six-line answer contract that bounds scope and preserves clinical disagreements.

Clinical software requires retrieval, synthesis, and controlled action. Each capability introduces a distinct professional and technical responsibility. A useful system preserves evidence and uncertainty as it moves toward clinical action, and accurately reports what took place.

This four-part course moves from information assembly to inspectable evidence, human approval checkpoints, and end-to-end workflow design. Each lesson produces a concrete artifact, culminating in a testable build brief and capstone case set using the Clinical AI Design Canvas.

Course Outcomes

What you will learn

  • Write a six-line answer contract that bounds scope and preserves clinical disagreements.
  • Structure an inspectable evidence card connecting claims directly to original sources.
  • Architect an action sequence separating automated preparation from human commitment.
  • Complete a Clinical AI Design Canvas with failure states, recovery routes, and explicit ownership.

Before You Begin

Prerequisites

  • Familiarity with clinical documentation and routine use of an AI assistant; no coding required.

Ordered Syllabus

Complete the lessons in sequence.

Follow the lessons in order, or return to a lesson you want to review.

  1. 01 Lesson 1 / intermediate / 25 min Who Assembles the Clinical Picture? Define the clinical question and write a six-line answer contract that bounds scope and preserves unresolved conflicts. Distinguish clinical judgment from information assembly. Read lesson
  2. 02 Lesson 2 / intermediate / 25 min An Answer You Can Inspect Design clinical AI answers that connect consequential claims directly to primary sources and preserve clinical uncertainty. Apply the Answer to Evidence to Source three-tier hierarchy. Read lesson
  3. 03 Lesson 3 / intermediate / 25 min Before the Agent Acts Architect clinical action sequences that separate preparation from commitment and enforce versioned human sign-off. Map clinical intent to a verified action sequence. Read lesson
  4. 04 Lesson 4 / intermediate / 45 min Design the Workflow First Complete a Clinical AI Design Canvas and build a testable specification with synthetic stress cases. Define a bounded version-one scope for a clinical AI workflow. Read lesson