Work

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

Year: 2011

Type: article

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.

Source: Academic Emergency Medicine

DOI: 10.1111/j.1553-2712.2011.01135.x

Authors: Jennifer L. Wiler, Richard T. Griffey, Tava Olsen

Institutions: University of Auckland, Washington University in St. Louis, University of Colorado Anschutz

Language: English

Topic: Emergency and Acute Care Studies

Subfield: Emergency Medicine

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: bronze

OpenAlex ID: W1594156656

FWCI: 9.093

Cites: 74

Cited by: 150

Related to: 10