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The Hidden Preceptor: How AI Is Already Teaching Our Learners
1Department of Emergency Medicine & Biomedical Informatics, Renaissance School of Medicine, Stony Brook University, Stony Brook, NY, USA.
Summary
Artificial Intelligence (AI) acts as a hidden preceptor for medical learners, potentially hindering clinical reasoning development. Educators must integrate AI
Area of Science:
- Medical Education
- Artificial Intelligence in Healthcare
- Clinical Reasoning
Background:
- Artificial Intelligence (AI) is increasingly utilized by medical learners for study and clinical decision-making.
- The educational implications of AI integration in medical training require further examination.
- AI's influence on clinical reasoning, uncertainty management, and professional identity is a critical area.
Purpose of the Study:
- To introduce the concept of AI as a "hidden preceptor" in medical education.
- To analyze how AI's characteristics may impact desired educational outcomes.
- To propose strategies for educators to leverage AI effectively in clinical training.
Main Methods:
- Conceptual commentary drawing on hidden curriculum theory and clinical reasoning frameworks.
- Analysis of AI's typical attributes (speed, certainty, pattern recognition) in the context of medical learning.
- Development of pedagogical strategies for AI integration in medical education.
Main Results:
- AI's speed, certainty, and pattern recognition can be counterproductive to developing deliberate thinking, mechanical understanding, and reflective practice.
- AI's influence on medical learners' approach to clinical reasoning and uncertainty needs explicit educational consideration.
- The "hidden preceptor" role of AI can shape professional identity in unintended ways.
Conclusions:
- Educators should make AI's pedagogical role explicit to guide learners' development.
- Strategies are needed to help medical learners engage with AI constructively, fostering clinical growth.
- Proactive educational integration of AI is essential to maximize its benefits and mitigate potential drawbacks in medical training.
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