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Integrating Artificial Intelligence Technology Into Simulation for Pre- and Postlicensure Nursing Students
Beth Ann Swan1, Nicholas A Giordano2, Sara Febres-Cordero3
1Beth Ann Swan, PhD, RN, CHSE, FAAN, ANEF, is associate dean for education.
Abstract:
Advances in artificial intelligence (AI) technologies have not been widely integrated into simulation education. This work examines the process of designing and implementing AI-enabled opioid-involved overdose simulation scenarios to aid pre- and postlicensure nursing students in learning how to assess, respond to, and manage opioid-involved overdoses. Thirty students provided feedback on their engagement with the AI-enabled manikin immediately following the simulation experience. Data show that participants would recommend the use of the AI-enabled manikins for other nursing students. education. This overview serves as a template to those interested in implementing AI in simulation scenarios.
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