Using Modeling to Predict Medical Requirements for Special Operations Missions

Abstract

The objective of this study was to show the benefits of modeling clinical supply requirements for Special Operations missions by providing an analysis and validation of the Air Force Special Operations Command Rapid Response Deployment Kit (RRDK) Allowance Standard. This study identified several instances of multiple National Stock Numbers being used to order the same medication or supply adding unnecessary cost and additional work for logisticians. The resulting quantities determined by the NHRC model lowered the cost of the RRDK by more than $10,000, along with a minor drop in cube. NHRC's method of modeling clinical supply requirements has been used successfully to analyze conventional force medical supplies for the Navy Marine Corns and Air Force. Modeling medical requirements for an unconventional force posed particular difficulties. Special Operations Forces (SOF) missions and casualties incurred on those missions are typically classified information. Few data are available to develop statistical casualty forecasting software. Nevertheless the information that is available on SOF casualties indicates Special Operations units suffer a disproportionately higher ratio of combat casualties to nonbattle injuries or disease. This study was able to develop a patient stream simulating that disproportionality using the conventional warfare casualty project program FORECAS.

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Document Details

Document Type
Technical Report
Publication Date
Jul 30, 2008
Accession Number
ADA492838

Entities

People

  • Curt Hopkins
  • Gerry Pang
  • Martin Hill
  • Paula J. Konoske
  • Ralph Nix

Organizations

  • Naval Health Research Center

Tags

DTIC Thesaurus Topics

  • Air Force
  • Combat Injuries
  • Health Services
  • Hygiene
  • Medical Personnel
  • Military Medicine
  • Special Operations Forces
  • Terrorists
  • Therapy
  • Warfare
  • Wounds And Injuries

Readers

  • Irregular Warfare and Special Operations Cyberspace Operations against Adversarial Threats.
  • Logistics and Supply Chain Management.
  • Trauma or Military Medicine