作者: Jennifer L. Wiler , Richard T. Griffey , Tava Olsen
DOI: 10.1111/J.1553-2712.2011.01135.X
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摘要: 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 describe, and at times predict, ED patient load crowding. A number of formula-based equations, regression models, time-series analyses, queuing theory–based discrete-event (or process) simulation (DES) models proposed. In this review, we compare contrast these methodologies, describe fundamental assumptions each makes, outline potential applications limitations with regard usability in operations research.