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Review of Modeling Approaches for Emergency Department Patient Flow and Crowding Research

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Abstract:



ACADEMIC EMERGENCY MEDICINE 2011; 18:1371–1379 © 2011 by the Society for Academic Emergency Medicine
Abstract

Emergency department (ED) crowding is an international phenomenon that continues to challenge operational efficiency. Many statistical modeling approaches have been offered to describe, and at times predict, ED patient load and crowding. A number of formula‐based equations, regression models, time‐series analyses, queuing theory–based models, and discrete‐event (or process) simulation (DES) models have been proposed. In this review, we compare and contrast these modeling methodologies, describe the fundamental assumptions each makes, and outline the potential applications and limitations for each with regard to usability in ED operations and in ED operations and crowding research.

Document Type: Research Article

DOI: https://doi.org/10.1111/j.1553-2712.2011.01135.x

Affiliations: 1: From the Division of Emergency Medicine, Washington University in St. Louis School of Medicine (JLW, RTG), St. Louis, MO; the Department of Emergency Medicine, University of Colorado School of Medicine (JLW), Aurora, CO; and the Department of Information Systems and Operations Management, University of Auckland (TO), Auckland, New Zealand. 2: From the Division of Emergency Medicine, Washington University in St. Louis School of Medicine (JLW, RTG), St. Louis, MO; the Department of Emergency Medicine, University of Colorado School of Medicine (JLW), Aurora, CO; and the Department of Information Systems and Operations Management, University of Auckland (TO), Auckland, New Zealand.

Publication date: 2011-12-01

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