Integrating Artificial Intelligence Technology Into Simulation for Pre- and Postlicensure Nursing Students.
Beth Ann Swan, Nicholas A Giordano, Sara Febres-Cordero, Kim Fugate, Laika Steiger
Author Information
Beth Ann Swan: About the Authors The authors are faculty at the Nell Hodgson Woodruff School of Nursing, Emory University, Atlanta, Georgia. Beth Ann Swan, PhD, RN, CHSE, FAAN, ANEF, is associate dean for education. Nicholas A. Giordano, PhD, RN, FAAN, is assistant professor. Sara Febres-Cordero, PhD, RN, is assistant professor. Kim Fugate, CHSE, CHSOS, is senior simulation operations specialist. Laika Steiger, MBA, CHSOS, FACHE, is associate dean for clinical practice operations. For more information, contact Dr. Swan at beth.ann.swan@emory.edu.
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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