From the Department of Medicine (D.L.R.) Indiana University School of Medicine; Interprofessional Simulation Center (D.L.R., M.N., A.R.), Indiana University School of Medicine, Bloomington; IU Health, Simulation Center at Fairbanks Hall (A.R., J.P.), Indianapolis; Indiana University School of Nursing (R.B.), Bloomington, IN; Penn State Health Milton S. Hershey Medical Center, Clinical Simulation Center (T.B.), Hershey, PA; UT Southwestern Medical Center (J.H.), Dallas, TX; Department of Emergency Medicine (P.V.K.), Indiana University School of Medicine, Bloomington, IN; and Department of Emergency Medicine, Division of Simulation (R.A.), Indiana University School of Medicine, Indianapolis, IN.
Simul Healthc. 2023 Dec 1;18(6):395-399. doi: 10.1097/SIH.0000000000000747. Epub 2023 Sep 20.
The recent introduction of ChatGPT, an advanced, easy-to-use, and freely available artificial intelligence (AI) program, created new possibilities across many industries and professions including healthcare simulation. ChatGPT has the potential to streamline healthcare simulation-based education while also providing insights for the scenario development process that conventional case development may miss. However, there are issues related to accuracy, relevance, and structure of the products produced by the ChatGPT AI program. This article examines 2 AI-generated simulation case examples highlighting strengths and weaknesses while providing guidance on the use of ChatGPT as a simulation resource.
最近推出的 ChatGPT 是一款先进、易用且免费的人工智能 (AI) 程序，它在许多行业和职业中创造了新的可能性，包括医疗保健模拟。ChatGPT 有可能简化基于医疗保健模拟的教育，同时为常规案例开发可能错过的情景开发过程提供见解。但是，ChatGPT AI 程序生成的产品存在准确性、相关性和结构方面的问题。本文通过检查 2 个 AI 生成的模拟案例示例，突出了其优势和劣势，并就如何将 ChatGPT 用作模拟资源提供了指导。
