Generative Artificial Intelligence and Its Role in the Development of Clinical Cases in Medical Education: A Scoping Review Protocol

Introduction: Integrating generative AI into medical education addresses challenges in developing clinical cases for case-based learning (CBL), a method that enhances critical thinking and learner engagement through realistic scenarios. Traditional CBL is resource-intensive and less scalable. Generative AI can produce realistic text and adapt to learning needs, offering promising solutions. This scoping review maps existing literature on generative AI's use in creating clinical cases for CBL and identifies research gaps. Methods: This review follows Arksey and O'Malley’s (2005) framework, enhanced by Levac et al. (2010), and aligns with PRISMA-ScR guidelines. A systematic search will occur across major databases like PubMed, Scopus, Web of Science, EMBASE, ERIC, and CINAHL, along with gray literature. Inclusion criteria focus on studies published in English between 2014 and 2024, examining generative AI in case-based learning (CBL) in medical education. Two independent reviewers will screen and extract data, iteratively charted using a standardized tool. Data will be summarized narratively and thematically to identify trends, challenges, and gaps. Results: The review will present a comprehensive synthesis of current applications of generative AI in CBL, focusing on the types of models utilized, educational outcomes, and learner perceptions. Key challenges, including ethical and technical barriers, will be emphasized. The findings will also outline future directions and recommendations for integrating generative AI into medical education. Discussion: This review will enhance understanding of generative AI's role in improving CBL by addressing resource constraints and scalability challenges while maintaining pedagogical integrity. The findings will guide educators, policymakers, and researchers on best practices, emerging opportunities, and areas needing further exploration. Conclusion: Generative AI has significant potential to revolutionize competency-based learning (CBL) in medical education. By mapping current evidence, this review will offer valuable insights into its potential applications, effectiveness, and challenges, paving the way for innovative and adaptive educational strategies.