title: Medical resource planning for combat operations: utilizing percentile estimates as an alternative to the mean.
abstract: Forecasting medical resource requirements during combat operations is dependent upon reliable estimates of the anticipated patient load. Traditionally, mean patient load estimations are used to determine the medical resources and supplies. However, these approximations can underestimate the resources needed to treat casualties during certain peak periods of an operation. This paper discusses the use of percentile estimates in forecasting patient loads as an alternative to using measures of central tendency. To assist in providing alternative estimates of ground casualty rates, the SLICECAS model has been developed to compute the varying percentile estimates. Design and construction of the model is based on data and trends observed during previous combat operations.
authors.affiliation: Modeling and Simulation Program, Naval Health Research Center, P.O. Box 85122, San Diego, California 92186-5122, USA.
authors.forename: J M
authors.initials: JM
authors.lastname: Zouris
authors.forename: C G
authors.initials: CG
authors.lastname: Blood
mesh_terms: D006295:Health Resources; D006801:Humans; D008887:Military Medicine / Q000458:organization & administration*; D015233:Models, Statistical; D010934:Planning Techniques; D012984:Software; D014857:Warfare; D014947:Wounds and Injuries / Q000628:therapy*