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Cybersecurity-Enhanced Game-Based Learning for Clinical Decision-Making: A Comparative Study

Authors

Kelvin Ovabor1, Adeyinka Adams-Momoh2 and Travis Atkison1, 1University of Alabama, USA, 2Western Illinois University, USA

Abstract

The purpose of this research is to determine whether medical professionals may benefit from game-based learning to enhance their decision-making abilities. The research included 200 medical professionals from renowned institutions such as St. Peter's Hospital Albany, MedStar Union Memorial Hospital, Baltimore, St. Vincent Charity Medical Center, Cleveland, and Kindred Hospital, Los Angeles, who had prior experience with game-based learning systems. Both a pre-and post-test assessing the participants' ability to make difficult clinical decisions were done. Participants were exposed to an online game-based learning intervention available on MediSim Clinic, which offers a virtual simulation platform, and they demonstrated a considerable increase in their ability to make sound decisions. The results of the research provide preliminary evidence that game-based learning may be an efficient method for enhancing clinical decision-making abilities, including those related to cybersecurity challenges. Limitations and ideas for further research are presented, along with the study's consequences and recommendations for practice. This research contributes to the expanding literature on game-based learning and its potential for enhancing clinical decision-making abilities in the medical profession.

Keywords

Game-based learning, Clinical Decision Making, cybersecurity Education

Full Text  Volume 13, Number 21