快速设计指南:医疗保健模拟人员的基础和应用
Sara Maaz1,2, Janice C Palaganas1, Gerry Palaganas3
1Department of Clinical Skills, College of Medicine, Alfaisal University, Riyadh, Saudi Arabia.
Frontiers in medicine
|February 21, 2025
概括
本指南为医疗保健模拟人员提供了设计大型语言模型 (LLM) 有效提示的实用策略. 它涵盖了在基于模拟的教育中整合生成AI的最佳实践,用例和伦理考虑.
科学领域:
- 医疗保健模拟器 医疗保健模拟器
- 教育中的人工智能
- 医疗教育 技术 技术 医学教育
背景情况:
- 大型语言模型 (LLM) 越来越多地用于医疗保健模拟.
- 模拟师需要关于在教育环境中有效使用LLM的实际指导.
- 现有的知识差距阻碍了生成AI在基于模拟的学习中的最佳整合.
研究的目的:
- 为模拟师提供一个实用的指南,以有效的快速设计与LLMs.
- 探索最佳实践,提示类型,技术,以及在医疗保健模拟中使用LLM的用例.
- 解决与医学教育中的LLM整合相关的挑战和伦理考虑.
主要方法:
- 结构化的文献审查,以建立基础知识.
- 代快速测试,以开发和完善最佳实践.
- 在模拟中开发LLM应用的实际用例.
主要成果:
- 为LLMs开发校准提示的最佳实践建议.
- 已证明的使用案例包括临床场景开发,欧安组织站的创建,模拟人脚本和解答简化.
- 确定并讨论了诸如偏见,隐私,幻觉和道德考虑等关键挑战.
结论:
- 本指南弥合了模拟师在医疗保健模拟中利用LLM方面的知识差距.
- 提供了建议,以制定与教育目标一致的有效提示.
- 负责任地整合生成性AI可以提高模拟中的现实性,参与度和教育成果.
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