AI Literacy for Clinicians: What Every Physician Needs to Know Before Trusting the Algorithm

Javier Rosas

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Table of Contents

AI Literacy for Clinicians: What Every Physician Needs to Know Before Trusting the Algorithm

What Happens When You Talk to AI
Why AI Sounds Confident But Gets It Wrong
Where the Training Data Came From (And Why That Matters)
The Six-Platform Study — What I Found When I Tested Clinical AI
When AI Assumes Resources You Don’t Have
The Failure Modes That Matter Most
A Clinician’s Framework for Evaluating AI Tools
Prompting Like a Clinician
The Regulatory Landscape — What Clinicians Need to Know
The Future of Clinical AI — From the Edge of Medicine
Appendix A: Glossary of AI Terms for Clinicians
Appendix B: AI Evaluation Checklist for Clinicians
- Regulatory Status Quick Check
- Documentation Template
Appendix C: Prompting Templates for Common Clinical Scenarios

AI Literacy for Clinicians: What Every Physician Needs to Know Before Trusting the Algorithm/Appendix C: Prompting Templates for Common Clinical Scenarios

Appendix C: Prompting Templates for Common Clinical Scenarios

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Template 1: Acute Pharmacological Management

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Template 2: Differential Diagnosis with Resource Constraints

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Template 3: Drug Interaction and Safety Review

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Template 4: Evacuation and Transfer Decision Support

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Template 5: Evidence Synthesis and Guideline Review

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Template 6: Adversarial Follow-Up (Universal)

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A Final Note on These Templates

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Appendix B: AI Evaluation Checklist for Clinicians

In this chapter

Appendix C: Prompting Templates for Common Clinical Scenarios
Template 1: Acute Pharmacological Management
Template 2: Differential Diagnosis with Resource Constraints
Template 3: Drug Interaction and Safety Review
Template 4: Evacuation and Transfer Decision Support
Template 5: Evidence Synthesis and Guideline Review
Template 6: Adversarial Follow-Up (Universal)
A Final Note on These Templates