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• W1594156656 endingPage "1379" @default.
• W1594156656 startingPage "1371" @default.
• W1594156656 abstract "ACADEMIC EMERGENCY MEDICINE 2011; 18:1371–1379 © 2011 by the Society for Academic Emergency Medicine 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." @default.
• W1594156656 created "2016-06-24" @default.
• W1594156656 creator A5023249865 @default.
• W1594156656 creator A5037748694 @default.
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• W1594156656 date "2011-12-01" @default.
• W1594156656 modified "2023-10-02" @default.
• W1594156656 title "Review of Modeling Approaches for Emergency Department Patient Flow and Crowding Research" @default.
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• W1594156656 doi "https://doi.org/10.1111/j.1553-2712.2011.01135.x" @default.
• W1594156656 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/22168201" @default.
• W1594156656 hasPublicationYear "2011" @default.
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