{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,9,13]],"date-time":"2023-09-13T21:13:56Z","timestamp":1694639636056},"reference-count":22,"publisher":"IGI Global","issue":"1","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010,1,1]]},"abstract":"<p>The high utilization level of emergency departments in hospitals across the United States has resulted in the serious and persistent problem of ambulance diversion. This problem is magnified by the cascading effect it has on neighboring hospitals, delays in emergency care, and the potential for patients\u2019 clinical deterioration. We provide a predictive tool that would give advance warning to hospitals of the impending likelihood of diversion. We hope that with a predictive instrument, such as the one described in this article, hospitals can take preventive or mitigating actions. The proposed model, which uses logistic and multinomial regression, is evaluated using real data from the Emergency Management System (EM Systems) and 911 call data from Firstwatch\u00ae for the Metropolitan Ambulance Services Trust (MAST) of Kansas City, Missouri. The information in these systems that was significant in predicting diversion includes recent 911 calls, season, day of the week, and time of day. The model illustrates the feasibility of predicting the probability of impending diversion using available information. We strongly recommend that other locations, nationwide and abroad, develop and use similar models for predicting diversion.<\/p>","DOI":"10.4018\/jisss.2010093001","type":"journal-article","created":{"date-parts":[[2010,4,16]],"date-time":"2010-04-16T18:50:13Z","timestamp":1271443813000},"page":"1-10","source":"Crossref","is-referenced-by-count":6,"title":["Predicting Ambulance Diverson"],"prefix":"10.4018","volume":"2","author":[{"given":"Abey","family":"Kuruvilla","sequence":"first","affiliation":[{"name":"University of Wisconsin Parkside, USA"}]},{"given":"Suraj M.","family":"Alexander","sequence":"additional","affiliation":[{"name":"University of Louisville, USA"}]}],"member":"2432","reference":[{"key":"jisss.2010093001-0","unstructured":"Anderson, B. (2003, February 25). Fresno County bans diversion of ambulances. Sacramento Bee. p. A1."},{"key":"jisss.2010093001-1","doi-asserted-by":"publisher","DOI":"10.1080\/10903129808958867"},{"key":"jisss.2010093001-2","unstructured":"Cohort. (2002). Metropolitan Richmond hospital diversions: A system analysis and change proposal. Project report, Systems and Information Engineering Executive Master\u2019s Program. Charlottesville, VA: University of Virginia."},{"key":"jisss.2010093001-3","doi-asserted-by":"publisher","DOI":"10.1111\/j.1553-2712.2001.tb01280.x"},{"key":"jisss.2010093001-4","doi-asserted-by":"publisher","DOI":"10.1111\/j.1553-2712.2006.tb00320.x"},{"key":"jisss.2010093001-5","doi-asserted-by":"publisher","DOI":"10.1067\/men.2001.120244"},{"key":"jisss.2010093001-6","doi-asserted-by":"publisher","DOI":"10.1080\/10903129708958797"},{"key":"jisss.2010093001-7","doi-asserted-by":"crossref","unstructured":"Hosmer, D., & Lemeshow, S. (2000). Applied Logistic Regression (2nd ed.). New York: John Wiley & Sons.","DOI":"10.1002\/0471722146"},{"issue":"3","key":"jisss.2010093001-8","doi-asserted-by":"crossref","first-page":"23","DOI":"10.1080\/00185868.1990.10543675","article-title":"Relieving overcrowded emergency departments through ambulance diversion.","volume":"68","author":"R. J.Lagoe","year":"1990","journal-title":"Hospital Topics"},{"key":"jisss.2010093001-9","doi-asserted-by":"publisher","DOI":"10.1080\/10903120390937184"},{"key":"jisss.2010093001-10","unstructured":"Lewin Group. (2002). Emergency department overload: A growing crisis. Chicago: American Hospital Association."},{"key":"jisss.2010093001-11","unstructured":"Nawar, E. W., Niska, R. W., & Xu, J. (2007). National hospital ambulatory medical care survey: 2005 Emergency department summary (Advance data from vital and health statistics No. 386). Hyattsville, MD: National Center for Health Statistics. Retrieved March 30, 2009, from http:\/\/www.cdc.gov\/nchs\/data\/ad\/ad386.pdf"},{"issue":"3","key":"jisss.2010093001-12","doi-asserted-by":"crossref","first-page":"172","DOI":"10.1017\/S1049023X00041297","article-title":"The effect of hospital resource unavailability and ambulance diversions on the EMS system.","volume":"9","author":"K. W.Neely","year":"1994","journal-title":"Prehospital and Disaster Medicine"},{"key":"jisss.2010093001-13","doi-asserted-by":"publisher","DOI":"10.1111\/j.1553-2712.2006.tb01652.x"},{"key":"jisss.2010093001-14","doi-asserted-by":"publisher","DOI":"10.1016\/S0196-0644(94)70006-0"},{"key":"jisss.2010093001-15","doi-asserted-by":"publisher","DOI":"10.1136\/ewjm.172.6.385"},{"key":"jisss.2010093001-16","doi-asserted-by":"publisher","DOI":"10.1067\/mem.2002.128012"},{"key":"jisss.2010093001-17","doi-asserted-by":"publisher","DOI":"10.1067\/mem.2003.23"},{"key":"jisss.2010093001-18","doi-asserted-by":"publisher","DOI":"10.1016\/j.annemergmed.2003.12.008"},{"key":"jisss.2010093001-19","unstructured":"U.S. General Accounting Office. (2003). Hospital emergency departments: Crowded conditions vary among hospitals and communities (GAO-03\u2013460). Washington, DC: Author. 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