As a step toward improving its health information technology (IT) interoperability, the Military Health System is seeking to develop a research roadmap to better coordinate health IT research efforts, address IT capability gaps, and reduce programmatic risk for its enterprise projects. This report identifies gaps in research, policy, and practice involving patient privacy, consent, and identity management that need to be addressed to improve the quality and efficiency of care through health information exchange.

Researchers conducted a thematic analysis of data collected on the U.S. Air Force's Task Force True North (TFTN) initiatives and identified key findings related to each initiative and to TFTN as a whole.

The U.S. Army uses virtual systems for collective skills training. This report examines the needs for fidelity in simulators and associated costs to support effective and efficient collective training.

The authors examine how different direct and indirect experience has shaped the way the U.S. military and the People's Liberation Army approach training and whether these training approaches adequately prepare both militaries for great power conflict.

The authors examine mentorship efforts across the Federal Emergency Management Agency's incident workforce and provide recommendations for addressing requirements, gaps, and challenges.

In this report, the authors identify existing gaps and areas for improvement in the Federal Emergency Management Agency's Qualification System and examine ways to measure and monitor its effectiveness in the future.

Developing valuable nontechnical skills will better prepare warfighters for future missions. This report presents a roadmap for systematically integrating nontechnical attributes into initial and early career skills training.

"Prepared for the United States Army."--Title page.

The U.S. Air Force uses live, virtual, and constructive (LVC) capabilities to help enhance training and improve readiness. However, it is not always clear what combinations of LVC capabilities are most effective and how they map to training goals. The authors of this report analyze the use of LVC for aircrew continuation training and develop a framework for aligning LVC capabilities with training needs for collective, complex, cognitive tasks. The framework involves (1) mapping missions to underlying tasks and skills, (2) parsing skills into skill factors, (3) parsing training technologies according to how users interface with technology, and (4) integrating the results of steps (2) and (3) to identify appropriate training tools. The authors also built a prototype interactive software application that allows users to explore this mapping. However, selecting technologies for training depends on many factors beyond skills requirements. Thus, the authors developed a logic model that illustrates how inputs, such as policy, training goals, and resources, influence selection of training technologies; how those technologies contribute to aircrew proficiency and readiness; how these outcomes influence the inputs; and the need for robust measures of aircrew performance to support the process. The authors describe how to apply the model to guide research on appropriate mixes of LVC. This approach can enhance quality of training development and implementation, support research efforts on new capabilities, inform acquisition decisions about resource needs, and identify needs for possible changes in training policy.

Distributed learning (DL) is a key element of the Army's training strategy, and the Army plans to expand the use of DL and change how it is developed and delivered. Several studies were undertaken to develop and test new tools and metrics to assess training and to document the impact of Army DL courses at the program level. The project also assessed the abilities of Army information systems to support efficient data collection for DL evaluation.