Military medical training uses a wide range of training technologies and pedagogies to impart the knowledge, skills, and abilities necessary to render care in treatment facilities and on the battlefield. Current teaching methods include virtual simulations and classroom instruction for procedural knowledge and patient actors, medical manikins, and task trainers for psychomotor skills. During these activities, student performance is assessed via training aids, written exams, or observer checklists. Despite the potential for a comprehensive learner assessment, these data sources are not aggregated or mapped to a set of medical competencies. With this manuscript, we present an approach utilizing a competency management system (CaSS) and xAPI to aggregate disparate training modalities into competency frameworks that will inform a multi-modal medical competency model. The exemplar use case focused on airway management at the level of a combat medic, specifically rapid sequence intubation. Two training modalities were used to inform the airway competencies and their underlying knowledge and skills: a virtual simulation (TC3Sim) for procedural knowledge and the advanced joint airway management system (AJAMS) for psychomotor skills. The results using simulated data are presented, demonstrating the ability to inform hierarchal competencies using various training technologies. The approach enables an ensemble approach to student assessment, combining multi-modality training aids, knowledge assessments, and digitized observations. In the future, the capability will enable competency-based medical education, personalized instruction, and improved analytics at the student, instructor, and enterprise levels.

Keywords
COMPETENCY BASED TRAINING;ENHANCING PERFORMANCE;MEDICAL MODELING AND SIMULATION;XAPI

Additional Keywords