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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.
Artificial intelligence (AI) like ChatGPT offers new potential for healthcare simulation education and scenario development. However, careful review is needed to address AI-generated content accuracy, relevance, and structure for effective use.
Area of Science:
- Healthcare Simulation
- Artificial Intelligence in Education
Background:
- Artificial intelligence (AI) programs, such as ChatGPT, are increasingly accessible and offer novel applications across various sectors.
- The healthcare simulation field can potentially benefit from AI for streamlining educational processes and enhancing scenario development.
Purpose of the Study:
- To examine the strengths and weaknesses of AI-generated simulation case examples.
- To provide guidance on utilizing ChatGPT as a resource in healthcare simulation.
Main Methods:
- Analysis of two simulation case examples generated by ChatGPT.
- Evaluation of AI-generated content for accuracy, relevance, and structure.
Main Results:
- AI-generated cases show potential for streamlining development and offering unique insights.
- Identified weaknesses include issues with accuracy, relevance, and structural integrity of AI outputs.
Conclusions:
- ChatGPT presents opportunities for healthcare simulation but requires critical assessment.
- Guidance is provided for effectively integrating AI tools into simulation practices while mitigating limitations.
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