Aeromedical evacuation planning using geospatial decision-support.
In this study, we proffer an algorithmic, geospatial-based decision-support methodology that assists military decision-makers in determining which aeromedical evacuation (MEDEVAC) assets to launch after receiving an injury location, given knowledge only of terrain, aircraft location, and aircraft capabilities. The objective is for military medical planners to use this decision-support tool (1) to improve real-time situational awareness by visualization of MEDEVAC coverage, showing which areas can be reached within established timelines; (2) to support medical planning by visualizing the impact of changes in the medical footprint to the MEDEVAC coverage; and (3) to support decision-making by providing a time-sorted list of MEDEVAC asset packages to select from, given the location of the patients. This same geospatial-based decision tool can be used for proper emplacement of evacuation assets such that the theater is covered within a truly representative 1-hour response time. We conclude with a discussion of applicability of this tool in medical force structure planning.
Department of Industrial and Manufacturing Engineering, Center for Integrated Healthcare Delivery Systems, Pennsylvania State University, 355 Leonhard Building, University Park, PA 16802.
Nathaniel D
ND
Bastian
Department of Computer Information Systems and Quantitative Methods, McCoy College of Business Administration, Texas State University, McCoy Hall 404, San Marcos, TX 78666-4616.
Lawrence V
LV
Fulton
D017732:Air Ambulances / Q000458:organization & administration*; D000465:Algorithms; D003661:Decision Support Techniques; D006801:Humans; D008889:Military Personnel; D010934:Planning Techniques; D062211:Spatio-Temporal Analysis; D013997:Time Factors; D014481:United States