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Making Medical Education Courses Visible: Theory-Based Development of a National Database
JMIR Med Educ 2025;11:e62838
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Another research study by Nair et al [49] proposed a multistage approach that leveraged few-shot prompting techniques to generate summaries of patient-provider dialogues within the health care domain. They relied on GPT-3 as a model for their multistage approach and validated their method with respect to 100 clinical encounters. They examined in particular the impact of the number of examples provided in the prompt, varying among 1, 3, and 5 examples.
JMIR Med Inform 2025;13:e62909
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The Use of AI in Mental Health Services to Support Decision-Making: Scoping Review
Nair et al [70] identified strategies and barriers for successful implementation that lead to sustainable use in 3 essential areas (planning, implementing, and sustaining the use). When integrating AI systems for decision-making support, the evaluation of changes in clinical workflows needs to be considered proactively during the planning phase to avoid unseen organizational or increased demand issues when put in place [68].
J Med Internet Res 2025;27:e63548
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