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Published on: March 1, 2017
Artificial Intelligence and the Simulationists
David L Rodgers1, Mathew Needler, Alexander Robinson
1From 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.
Summary Statement:
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.
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