Medical Resource Planning for Combat Operations: Utilizing Percentile Estimates as an Alternative to the Means

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 die 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.

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Document Details

Document Type
Technical Report
Publication Date
Apr 11, 2000
Accession Number
ADA381878

Entities

People

  • C. G. Blood
  • J. M. Zouris

Organizations

  • Naval Health Research Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Battles
  • Casualties
  • Combat Operations
  • Delphi Method
  • Department Of Defense
  • Deployment
  • Diseases And Disorders
  • Distribution Functions
  • Health Care
  • Infantry
  • Intensity
  • Medical Personnel
  • Military Research
  • Probability Distribution Functions
  • Warfare
  • Wounds And Injuries

Readers

  • Life Cycle Cost Analysis
  • Logistics and Supply Chain Management.
  • Trauma Surgery or Emergency Medicine.