Knowledge translation transforms research into action, addressing healthcare’s persistent “know-do” gap. By using structured frameworks like the knowledge-to-action cycle, we can systematically identify problems, adapt evidence to local contexts, overcome implementation barriers, and evaluate outcomes—ultimately ensuring that knowledge doesn’t just exist in journals but improves outcomes in practice.
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Ben and I talk to Lambert Schuwirth about the development of HPE-Bot, a chatbot based on the GPT language model, and its implications for health professions education. The conversation explores AI’s potential effects on teaching, assessment, and learner behaviour, raising concerns about accuracy and institutional adaptation. While we highlight the ongoing challenges with integrating AI into professional education, we tend to agree that the opportunities for driving much needed change, are significant.
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