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The papers were categorized based on their motivations, modeling techniques, data collection processes, patient classification, recommendations, and implementation statuses. Real impact is seldom measured; only four papers (~10%) have reported the implementation of their recommended changes in the real world. Conclusion: The reported implementations contributed significantly to wait time reduction, but the proportion of simulation studies that are implemented is too low to conclude causality. Researchers should budget resources to implement their simulation recommendations in order to measure their impact on patient wait time.<\/p>","DOI":"10.4018\/ijehmc.2017070101","type":"journal-article","created":{"date-parts":[[2017,5,23]],"date-time":"2017-05-23T10:25:50Z","timestamp":1495535150000},"page":"1-21","source":"Crossref","is-referenced-by-count":1,"title":["A Review on the Contribution of Emergency Department Simulation Studies in Reducing Wait Time"],"prefix":"10.4018","volume":"8","author":[{"given":"Basmah","family":"Almoaber","sequence":"first","affiliation":[{"name":"University of Ottawa, Ottawa, Canada &King Khalid University, Abha, Saudi Arabia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel","family":"Amyot","sequence":"additional","affiliation":[{"name":"University of Ottawa, Ottawa, Canada"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"2432","reference":[{"key":"IJEHMC.2017070101-0","unstructured":"Ahmad, N., Ghani, N. 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