Predicting Exploration Crew Medical Officer Training Needs: Applying Evidence-Based Predictive Analytics to Space Medicine Training.

Introduction: Predictive analytics may be a useful adjunct to identify training needs for exploration class medical officers onboard deep space vehicles.

Methods: This study used a preliminary version of NASA's newest medical predictive analytics tool, the Medical Extensible Database Probabilistic Risk Assessment Tool (MEDPRAT), to test the application of predictive analytics to exploration crew medical officer curriculum design for 5 distinct design reference mission (DRM) profiles. Partial and fully treated paradigms were explored.

A Method to Determine Capabilities and Resources for Spacecraft Medical Systems.

This paper describes the method for assigning medical diagnostic and treatment capabilities and resources to the database which assists with an updated probabilistic risk analysis (PRA) tool for exploration class medical system planning. The National Aeronautics and Space Administration has used PRA since 2011 to inform mission medical system design, but existing tools are designed only for low Earth orbit. An updated PRA tool was needed to assist with exploration class missions.