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Reimagining Continuous Professional Development for Physicians in the Age of Artificial Intelligence
James S Barry1, Ryan M McAdams
1Dr. Barry: Professor of Pediatrics, Division of Neonatology, Department of Pediatrics, University of Colorado School of Medicine, Aurora, CO. Dr. McAdams: Professor of Pediatrics, Division of Neonatology, Department of Pediatrics, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, WI.
Continuing professional development (CPD) can help physicians integrate artificial intelligence (AI) into practice. A new framework supports developing AI competency while preserving essential human capacities in patient care.
Area of Science:
- Medical Education
- Artificial Intelligence in Healthcare
- Continuing Professional Development
Background:
- Artificial intelligence (AI) is transforming medical practice, impacting clinician learning, reasoning, communication, and patient care.
- Physician expertise encompasses cognitive skills, technical abilities, and crucial human capacities like empathy, ethics, and trust-building.
- Existing continuing professional development (CPD) models, designed pre-AI, often prioritize knowledge acquisition over clinical reasoning, which is now augmented by AI-clinician collaboration.
Purpose of the Study:
- To propose a framework for reshaping continuing professional development (CPD) to support physicians in the era of AI-enabled healthcare.
- To integrate AI not just as a subject but as a catalyst for evolving how physicians learn, reason, and provide care.
- To foster the coevolution of individual and organizational learning for effective and responsible AI adoption in medicine.
Main Methods:
- Introduction of the Technical Understanding, Critical Appraisal, and Practical Application × Dual-Axis model.
- This conceptual framework integrates three domains of AI competency: Technical Understanding, Critical Appraisal, and Practical Application.
- The model incorporates organizational adoption and implementation strategies focusing on governance, infrastructure, and culture.
Main Results:
- The proposed framework links individual AI literacy and fluency with institutional capabilities to establish a foundation for responsible AI in medicine.
- Reimagining CPD with AI enables clinicians to develop adaptive expertise.
- This approach supports clinicians in remaining clinically competent, ethically grounded, and compassionate while working with AI.
Conclusions:
- Continuing professional development (CPD) must evolve to equip physicians for AI-integrated healthcare.
- The Technical Understanding, Critical Appraisal, and Practical Application × Dual-Axis model provides a structure for this evolution.
- Integrating AI into CPD is crucial for maintaining high standards of care, preserving humanistic aspects of medicine, and ensuring responsible AI implementation.
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