Enhancing Team Performance through Mock Drills in Disaster Medicine and Emergency Medical Services

Abstract

Background: Effective disaster management depends on the well-coordinated performance of teams within disaster medicine and emergency medical services (EMS). Mock drills serve as animportant cornerstone of training for these team members, yet their effectiveness in optimizing team performance remains an area of active investigation. Present narrative review examines the understanding of the applicability of mock drills to further enhance team performance in disaster medicine and EMS.
Method:An extensive search of pertinent literature was carried out to identify studies investigating the application of mock drills in disaster preparedness training. The review examines the documented advantages, drawbacks, and prospective research areas for this training method.
Results:Mock drills significantly enhance knowledge, communication, and problem-solving skills among disaster medicine and EMS team members. However, transforming these gains into sustained improvements in real-world scenario performance requires further exploration. Merging discussion-based and operation-based drills, customizing scenarios for EMS/paramedic difficulties, and integrating psychological stressors are promising approaches for optimizing drill design. Integrating insights from the learning sciences and conducting longitudinal research studies are necessary for maximizing knowledge retention and establishing the long-term impact of drills on real-world performance. Finally, the potential of virtual reality (VR), artificial intelligence (AI), and serious game-based platforms warrants further investigation for their ability to create immersive and dynamic training simulations.
Conclusions: Mock drills offer animportant and variable tools for enhancing team performance in disaster medicine and EMS. By optimizing drill design, maximizing learning and retention, and embracing technological advancements, this training modality can be further refined to ensure optimal preparedness for the complexities of real-world disaster response.