Learning Path 2

Use AI in Medicine

Move from isolated prompts to observable clinical workflows with deliberate human checkpoints.

1 course 4 lessons 39 minutes
Who this is for
Physicians who already use ChatGPT or another general-purpose AI tool.
What you will leave with
Design an AI-assisted workflow that protects clinical judgment, data quality, and accountability.

A prompt completes a task. Clinical work is a sequence of tasks, decisions, handoffs, and checks.

This path examines that difference. You will learn to map the workflow, define the human checkpoint, build the log before the intelligence, and choose infrastructure that matches the sensitivity of the work.

Course Sequence

Begin in order.

The publication date does not determine the sequence. The learning dependency does.

Course 1

Clinical AI Workflows

Design AI-assisted clinical work as an observable sequence rather than a collection of prompts.

intermediate 39 min 4 lessons

What you will learn

  • Distinguish an AI task from an end-to-end workflow.
  • Place human checkpoints where clinical judgment belongs.
  • Define the logs required before automated interpretation.
  • Choose an infrastructure boundary that matches the data and use case.

Prerequisites

  • Routine use of at least one general-purpose AI assistant.
  1. 01 From Tasks to Workflows Identify the coordination work that remains after an AI model completes an individual task. 11 min
  2. 02 Protect Clinical Sequence Design documentation automation around the order of clinical work and the judgment it must preserve. 8 min
  3. 03 Logs Before Intelligence Establish clean, structured, timestamped ground truth before adding interpretation. 8 min
  4. 04 Choose the Infrastructure Boundary Compare consumer AI with locally controlled models through privacy, governance, cost, and operational requirements. 12 min