(39) Artificial Intelligence in Simulation: The State of Practice

Abstract: Artificial intelligence (AI) is on the rise across sectors including nursing education. Simulation is a natural specialty for the exploration of AI, being at the forefront of incorporation of technology in nursing education. Beginning with low-fidelity manikins, moving onto high-fidelity manikins, then innovating with virtual reality, AI is the next frontier in nursing simulation. As AI becomes more integrated in healthcare delivery, nursing education has a role in educating nursing students about uses, limitations, and concerns around AI. Reed and Dodson (2023) indicated that the use of generative AI supports students’ visual learning and engagement. Virtual reality (VR) using AI has also been evaluated to increase learning in interprofessional domains simulating various team members in VR simulation (Liaw, et al., 2023).
The purpose of this literature review was to explore the role of AI in the three phases of simulation: prebriefing, facilitation, and debriefing/evaluation to support student learning. A review of the literature identified gaps in the use of AI in the three phases of simulation education as very few studies have been conducted.
As the use of AI continues to grow in healthcare, there is a growing need to explore the use of AI in nursing simulation. Educators will also need to explore the limitations of AI including ethical concerns, security and data privacy, and financial and technological support for use in learning environments. Nursing simulationists are at the forefront of using new technologies and should be the leaders in exploring this new pedagogical tool to enhance student learning.

Please include a short summary of your presentation that highlights why an attendee would want to view your poster.: This poster presentation will highlight the current state of artificial intelligence in nursing simulation education, gaps in the literature, and recommendations and implications for simulation and future research.