Perspective study explores technology-enhanced learning integration in competency assessment, suggesting innovative methods and addressing challenges in medical education.
The CanMEDS framework is a widely adopted competency-based model that defines essential roles for physicians to ensure high-quality patient care. Technology-enhanced learning (TEL) has emerged as a transformative approach in medical education, offering flexible, interactive, and personalized learning experiences. This study explores the integration of TEL within the CanMEDS framework assessment model to enhance competency evaluation in medical education. This perspective study reviews the evolving role of TEL in medical education and its alignment with the seven CanMEDS roles: Medical Expert, Communicator, Collaborator, Leader, Health Advocate, Scholar, and Professional. It examines the benefits and challenges of TEL integration, including innovative assessment methods such as virtual simulations, artificial intelligence, and mobile applications. TEL provides significant advantages in accessibility, scalability, and cost-effectiveness of competency assessments. Virtual reality and AI-driven tools enable realistic clinical scenarios and personalized feedback, improving the evaluation of complex skills. TEL also supports continuous learning and collaboration through digital platforms. However, challenges include ensuring assessment validity and reliability, addressing institutional barriers, faculty training needs, ethical concerns regarding data privacy, and disparities in technology access. Integrating TEL into the CanMEDS framework enhances medical education by offering innovative, flexible, and effective assessment methods. To maximize benefits, institutions must address technological, ethical, and pedagogical challenges through comprehensive implementation plans, faculty development, and clear guidelines. Emerging technologies hold promise for further advancing competency-based education, ensuring future physicians are well-equipped to meet evolving healthcare demands.
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Asadi et al. (2025) studied this question.
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