The Military Health System (MHS) currently faces a number of infrastructure challenges pertaining to learning and performance improvement. Currently, the MHS processes and systems in place cannot report enterprise-wide education, training, and human performance metrics. For example, across the Services and DHA, multiple training and education systems are used to collect data using different methods, resulting in a multitude of formats. These isolated, disparate, stove-piped systems do not have sufficient connectivity and interoperability to exchange data and information or produce integrated analytics that represent the systems as a whole. This lack of MHS training data infrastructure results in a subpar ability to report enterprise-wide education, training, and human performance metrics. The question here is: with over 30 systems across multiple Services holding data, Is it possible to create an enterprise-wide data strategy that allows for data to be collected in a standardized way across the Services while allowing each Service the freedom to control how training is administered and conducted?

This presentation will review research conducted across the Services to 1) understand how competence is evaluated across the Services, 2) what data is used to determine competence, and 3) where that data is stored. Results gathered were put into a cluster analysis to create a standard strategy to collect relevant training and education data, standardize it, and store it in a centralized location.

Keywords
COMPETENCY BASED TRAINING,INFORMATION OPERATIONS,INTEROPERABILITY,LEARNING ANALYTICS,LEARNING TECHNOLOGY STANDARDS

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