Use AI in Medicine / Course 5
The Middle Path: Evidence, Systems, and Physician Judgment
A multipart assessment of AI claims and clinical workflows through evidence, system controls, and accountability.
- Who this is for
- Physicians who already use ChatGPT or another general-purpose AI tool.
- Course outcome
- Design an AI-assisted workflow that protects clinical judgment, data quality, and accountability.
The Middle Path teaches physicians to assess AI claims and decide what follows for a specific workflow. Every part develops the same written assessment: what the evidence supports, what controls surround the model, and who can intervene when it fails.
Part I includes a clinical case, five questions with answer explanations, and a reusable review worksheet. Parts II through IV are planned: recursive self-improvement evidence; evaluations, pacing, and governance; and the clinical harness in practice. The duration currently covers Part I only and will grow as lessons are added.
Part I includes article narration and a separate companion podcast alongside the written lesson.
Course Outcomes
What you will learn
- Separate observed AI failures and capabilities from extrapolations and forecasts.
- Apply the three-error check to a synthetic clinical draft.
- Assess a workflow through evidence, permissions, verification, and accountability.
- Write a reasoned decision with explicit reconsideration conditions.
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.
Each article remains at its original URL. Its position here supplies the learning context.