MSTAT’s adaptive intelligent training technology combines Charles River’s advanced decision-making framework with knowledge from experienced military medical personnel. This framework models skills, captures important and generalizable decision-making themes, then assesses trainee proficiency against objective performance metrics linked to skills.
Annotated skill trees break down tasks into their component parts, including non-standard steps, repair steps, and technique variations.