FIRST Responder: Female Injury Mixed-Reality Simulation Training

The primary purpose of this work is to develop a comprehensive technical plan and prototype (phase one) to integrate multiple technologies via open standards (MOHSES/JETS) to create a comprehensive female manikin simulation platform (phase two) with validated cases, physiology, and interventions that leverage state-of-the-art technologies (AR, VR, traditional manikins, and part-task trainers). The goal is to enable effective and efficient training so military medical personnel can save more lives on the battlefield with special emphasis on female anatomy, physiology, pathology, and targeted interventional training to mitigate, for example, young medics' respectful (but lethal) hesitancy to perform certain exams/interventions on female casualties.  To achieve this goal, six objectives have been identified. The first objective is to verify essential female patient-specific (Tactical Combat Casualty Care, Prolonged Casualty Care, and Chemical-Biological-Radiologic resuscitation) interventions and convert them into simulation-based learning objectives. The second objective is to develop an optimal self-guided simulation training plan using various technologies, including AR, VR, physical manikins, and learning outcome assessments. The third objective is to identify critical requirements for AR, VR, and physical female manikins necessary for implementing the training plan. The fourth objective is to develop a high-level system design using open standards (MOHSES/JETS) to integrate various simulation modalities and identify gaps that require development to achieve the optimal attainable solution (phase one) and identify critical/prioritized gaps that require development to achieve the optimal solution (phase two). The fifth objective is to develop and present a prototype of the integrated female manikin simulator platform. Finally, the sixth objective is to identify opportunities for synthetic training data captures to enable future artificial intelligence training assessment, difficulty optimization, and clinical decision support system generation.