可读性
知情同意
理解力
阅读(过程)
医疗保健
质量(理念)
医学教育
计算机科学
心理学
替代医学
医学
法学
政治学
程序设计语言
哲学
病理
认识论
作者
Fatima N. Mirza,Oliver Y. Tang,Ian D. Connolly,Hael Abdulrazeq,Rachel Lim,G. Dean Roye,Cedric J. Priebe,Cheryl Chandler,Tiffany J. Libby,Michael W. Groff,John H. Shin,Albert E. Telfeian,Curtis E. Doberstein,Wael F. Asaad,Ziya L. Gokaslan,James Zou,Rohaid Ali
摘要
Informed consent is integral to the practice of medicine. Most informed consent documents are written at a reading level that surpasses the reading comprehension level of the average American. Large language models, a type of artificial intelligence (AI) with the ability to summarize and revise content, present a novel opportunity to make the language used in consent forms more accessible to the average American and thus, improve the quality of informed consent. In this study, we present the experience of the largest health care system in the state of Rhode Island in implementing AI to improve the readability of informed consent documents, highlighting one tangible application for emerging AI in the clinical setting.
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