WCM 10-MD-03 Examination of Skip Factor Policies: For the Office of the Chief of Naval Operations

Abstract

Skip policy is a medical planning factor describing the percentage of patients that bypass a layer of theater hospitalization, usually understood to be Level 4, while flowing through the casualty care and management system. The purpose of this paper was to examine skip policy by investigating the underlying factors that influence it, and to determine ways to modify current analytical tools, databases, and procedures to allow better skip policy emulation. This paper provides a detailed gap analysis describing the shortfalls found in current modeling capabilities and databases that would hinder the examination of medical evacuation. The results of this gap analysis fell into two categories: data sets and medical models. Gaps in the data sets impede the empirical data analysis process. These gaps range from missing or incomplete data records to inaccurate or miscoded data fields. The evaluation of new data sets and use of additional data repositories will address this issue. Gaps in the medical models consist of deficiencies in the representation of skip policy, making complete skip policy assessments and the execution of medical evacuation missions more problematic. Gaps in this area are primarily incomplete representations of critical factors in the medical models.

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Document Details

Document Type
Technical Report
Publication Date
May 15, 2011
Accession Number
ADA554519

Entities

People

  • Edwin D'souza
  • James Zouris
  • Marissa Saulsberry
  • Vern Wing

Organizations

  • Naval Health Research Center

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Data Sets
  • Evacuation
  • Gap Analysis
  • Health Services
  • Hospitalizations
  • Medical Evacuation
  • Medical Personnel
  • Military Hospitals
  • Military Medicine
  • Patient Care
  • Software Development
  • Test And Evaluation
  • Therapy
  • Warfare
  • Wounds And Injuries

Fields of Study

  • Medicine

Readers

  • Computational Modeling and Simulation
  • Economics
  • Military History / Militaries and War Studies