Forecasting Staffing Requirements for a Fluctuating Medical Beneficiary Population

Abstract

The purpose of this study was to assess the adequacy of staffing requirements for both the enrolled and non-enrolled patient population located in the Bayne-Jones Army Community Hospital (BJACH) catchment area. The existing tool used to determine staffing at Military Treatment Facilities (MTF), the Automated Staffing Assessment Model (ASAM) II, was modified to assist in identifying fluctuations in provider requirements based on monthly workload. By using the modified version of ASAM II, it was possible to identify significant monthly fluctuations in provider requirements. Furthermore, this model clearly revealed points at which particular clinics did not have enough, or had more than enough, providers to meet the number of patient visits for the month. A regression analysis, using time series data without season information, confirmed the hypothesis that one can more accurately forecast staffing requirements with the modified ASAM. Ultimately, this will help MTFs meet the demands of fluctuating patient workloads.

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Document Details

Document Type
Technical Report
Publication Date
Jan 12, 2005
Accession Number
ADA444050

Entities

People

  • Lori N. Howes

Tags

DTIC Thesaurus Topics

  • Active Duty
  • Air Force
  • Combat Operations
  • Combat Readiness
  • Department Of Defense
  • Geographic Regions
  • Health Care
  • Health Services
  • Hospitals
  • Medical Personnel
  • Military Hospitals
  • Military Medicine
  • Military Operations
  • Personnel Management
  • United States
  • United States Government
  • Warfare

Readers

  • Computational Modeling and Simulation
  • Medical or Health Care Field.