PDF(Pubmed)
Abstract：
BACKGROUND: An illness script is a specific script format geared to represent patient-oriented clinical knowledge organized around enabling conditions, faults (i.e., pathophysiological process), and consequences. Generative artificial intelligence (AI) stands out as an educational aid in continuing medical education. The effortless creation of a typical illness script by generative AI could help the comprehension of key features of diseases and increase diagnostic accuracy. No systematic summary of specific examples of illness scripts has been reported since illness scripts are unique to each physician.
OBJECTIVE: This study investigated whether generative AI can generate illness scripts.
METHODS: We utilized ChatGPT-4, a generative AI, to create illness scripts for 184 diseases based on the diseases and conditions integral to the National Model Core Curriculum in Japan for undergraduate medical education (2022 revised edition) and primary care specialist training in Japan. Three physicians applied a three-tier grading scale: \"A\" denotes that the content of each disease\'s illness script proves sufficient for training medical students, \"B\" denotes that it is partially lacking but acceptable, and \"C\" denotes that it is deficient in multiple respects.
RESULTS: By leveraging ChatGPT-4, we successfully generated each component of the illness script for 184 diseases without any omission. The illness scripts received \"A,\" \"B,\" and \"C\" ratings of 56.0% (103/184), 28.3% (52/184), and 15.8% (29/184), respectively.
CONCLUSIONS: Useful illness scripts were seamlessly and instantaneously created using ChatGPT-4 by employing prompts appropriate for medical students. The technology-driven illness script is a valuable tool for introducing medical students to key features of diseases.
OBJECTIVE: This study investigated whether generative AI can generate illness scripts.
METHODS: We utilized ChatGPT-4, a generative AI, to create illness scripts for 184 diseases based on the diseases and conditions integral to the National Model Core Curriculum in Japan for undergraduate medical education (2022 revised edition) and primary care specialist training in Japan. Three physicians applied a three-tier grading scale: \"A\" denotes that the content of each disease\'s illness script proves sufficient for training medical students, \"B\" denotes that it is partially lacking but acceptable, and \"C\" denotes that it is deficient in multiple respects.
RESULTS: By leveraging ChatGPT-4, we successfully generated each component of the illness script for 184 diseases without any omission. The illness scripts received \"A,\" \"B,\" and \"C\" ratings of 56.0% (103/184), 28.3% (52/184), and 15.8% (29/184), respectively.
CONCLUSIONS: Useful illness scripts were seamlessly and instantaneously created using ChatGPT-4 by employing prompts appropriate for medical students. The technology-driven illness script is a valuable tool for introducing medical students to key features of diseases.
摘要：
背景：疾病脚本是一种特定的脚本格式，旨在表示围绕有利条件组织的面向患者的临床知识，故障(即，病理生理过程)，和后果。生成人工智能（AI）在继续医学教育中脱颖而出。通过生成AI轻松创建典型的疾病脚本可以帮助理解疾病的关键特征并提高诊断准确性。由于疾病脚本对每个医生都是独特的，因此尚未报告疾病脚本的具体示例的系统总结。
目的：这项研究调查了生成AI是否可以产生疾病脚本。
方法：我们使用了ChatGPT-4，一种生成AI，根据日本国家示范核心课程（2022年修订版）和日本初级保健专家培训中不可或缺的疾病和条件，为184种疾病创建疾病脚本。三位医生采用了三层分级量表：“A”表示每种疾病的疾病脚本的内容足以培训医学生，\“B\”表示部分缺乏但可以接受，和“C”表示它在多个方面都有缺陷。
结果：通过利用ChatGPT-4，我们成功地生成了184种疾病的疾病脚本的每个组成部分，没有任何遗漏。疾病脚本收到\“A，\"\"B,“和”C“评级为56.0%(103/184)，28.3%（52/184），和15.8%(29/184)，分别。
结论：通过采用适合医学生的提示，使用ChatGPT-4无缝和即时地创建有用的疾病脚本。技术驱动的疾病脚本是向医学生介绍疾病关键特征的宝贵工具。
目的：这项研究调查了生成AI是否可以产生疾病脚本。
方法：我们使用了ChatGPT-4，一种生成AI，根据日本国家示范核心课程（2022年修订版）和日本初级保健专家培训中不可或缺的疾病和条件，为184种疾病创建疾病脚本。三位医生采用了三层分级量表：“A”表示每种疾病的疾病脚本的内容足以培训医学生，\“B\”表示部分缺乏但可以接受，和“C”表示它在多个方面都有缺陷。
结果：通过利用ChatGPT-4，我们成功地生成了184种疾病的疾病脚本的每个组成部分，没有任何遗漏。疾病脚本收到\“A，\"\"B,“和”C“评级为56.0%(103/184)，28.3%（52/184），和15.8%(29/184)，分别。
结论：通过采用适合医学生的提示，使用ChatGPT-4无缝和即时地创建有用的疾病脚本。技术驱动的疾病脚本是向医学生介绍疾病关键特征的宝贵工具。
