Module 1
Welcome to the Clinical Flight Deck
Establish the clinician's pilot-in-command role and the principles of responsible AI use.
Core Outcome
Explain why AI augments but does not replace clinical judgment.
Clinical Flight Deck
This is a learning journey designed around the decisions clinicians make when AI enters the encounter. You will learn the concepts, rehearse the workflow, and demonstrate the behaviors required to use AI as a capable co-pilot while retaining clinical authority.
Curriculum
Module 2
Reading the Instrument Panel
Learn to interpret confidence, transparency, data provenance, and bias indicators.
Core Outcome
Calibrate trust instead of treating model output as certainty.
Module 3
Calibrating Trust
Classify AI use by risk tier and recognize correct, subtly wrong, and context-blind outputs.
Core Outcome
Intercept both automation bias and automation dismissal.
Module 4
Pre-Flight Checks
Decide whether an AI tool is appropriate for the patient, purpose, and available data.
Core Outcome
Complete a rapid pre-use check and identify a manual backup.
Module 5
Standard Operating Procedures
Build safe habits with during-use and post-use checklists.
Core Outcome
Run the Sterile Cockpit and Logbook checks and document every accept, override, or defer decision.
Module 6
The Handoff Protocol
Treat taking command from the AI as a designed maneuver, not a failure.
Core Outcome
Execute the IDAR loop and leave a defensible audit trail.
Module 7
Turbulence
Respond with discipline when confident AI output contradicts your examination.
Core Outcome
Resolve conflicts with an independent third data source and announce overrides to the team.
Module 8
Edge of the Envelope
Map where each clinical model's competence ends.
Core Outcome
Spot pattern mismatch with the Five Red Flags and apply the Trust Calibration Matrix and FAIR protocol.
Module 9
Automation Surprises
Recognize unexpected AI behavior before it reaches the patient.
Core Outcome
Question high-confidence outputs, respond with the IDAR loop, and report the signal.
Module 10
Flying Manual & The Go-Around
Keep manual clinical skills sharp and know when to take the controls.
Core Outcome
Execute a go-around to correct AI errors before signing.
Module 11
Cognitive Countermeasures
Defend clinical judgment against fatigue and quiet biases.
Core Outcome
Run the IM SAFE self-check and anchor vigilance in checklists, protocols, and teammates.
Module 12
The Complete Shift
Integrate pre-flight, in-flight, and post-flight checks into one workflow.
Core Outcome
Apply the FAIR checklist to protect health equity and practice defensibly.
Module 13
The Liability Landscape
Understand why malpractice and product liability doctrines strain under AI.
Core Outcome
Compare US, EU, and WHO approaches and chart a defensible standard of care.
Module 14
The Pillay Framework
Learn the Pillay Framework's Five Pillars and shared liability model.
Core Outcome
Separate your oversight duties from those of health systems and AI vendors.
Module 15
The Clinician's Protection Playbook
Protect yourself in everyday AI-assisted practice.
Core Outcome
Document AI encounters defensibly, lead a structured consent conversation, and engage AI governance.
Module 16
The Case Lab
Work through six front-line simulations that show how clinical AI fails.
Core Outcome
Match each failure mechanism to the right Pilot in Command countermeasure.
Module 17
Advanced Briefing
A clinician can appear in an AI workflow yet lack a meaningful chance to see, challenge, or change what reaches the patient. This is the oversight illusion: the policy diagram looks supervised, but timing, volume, or design makes clinical control unrealistic.
Core Outcome
The operational question is not whether a human appears in the loop. It is whether the clinician can exercise clinical authority when it matters.
Module 18
Legal Defense in Action
Apply the Pillay Framework, FAIR protocol, and IDAR loop to three malpractice cases.
Core Outcome
Produce contemporaneous documentation that proves diligent clinical reasoning.
Designed through interdisciplinary collaboration
Flight Deck Medicine is developed through close collaboration across healthcare, ethics, and technology to bring calibrated trust and safety to clinical AI.
- Practicing clinicians
- Clinical informaticians
- Patient-safety leaders
- Ethicists
- Privacy & security leaders
- Health-equity experts
- Learning scientists
- Patient representatives