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<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/4ff5ta6hejdqjlgmiuaoz2l4ia" style="color: black;">Academic Emergency Medicine</a>
Objectives: This article explores the potential of discrete event simulation (DES) methods to advance system-level investigation of emergency department (ED) operations. To this end, the authors describe the development and operation of Emergency Department SIMulation (EDSIM), a new platform for computer simulation of ED activity at a Level 1 trauma center. The authors also demonstrate one potential application of EDSIM by using simulated ED activity to compare two patient triage methods.<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.1197/j.aem.2004.08.021">doi:10.1197/j.aem.2004.08.021</a> <a target="_blank" rel="external noopener" href="https://www.ncbi.nlm.nih.gov/pubmed/15528582">pmid:15528582</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/lobxfckmzvckrcns6e7o2xgs5q">fatcat:lobxfckmzvckrcns6e7o2xgs5q</a> </span>
more »... s: The Extend DES modeling package was used to develop a model of ED activity for a five-day period in July 2003. Model input includes staffing levels, facility characteristics, and patient data drawn from electronic patient tracking databases, billing records, and a detailed review of 674 ED charts. The accuracy of model output was tested by comparing predicted and known patient service times. The EDSIM model was then used to compare the fast-track triage approach with an alternative acuity ratio triage (ART) approach whereby patients were assigned to staff on an acuity ratio basis. Results: The EDSIM model predicts
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