Simulation modeling for the impact of triage liaison physician on emergency department to reduce overcrowding
Emergency department (ED) overcrowding has been a common complaint in Emergency Medicine in Canada for many years. Its adverse effects of prolonged waiting times cause patient dissatisfaction and unsafety. Previous studies indicate that adding a physician in triage (PIT) can increase accuracy and ef...
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ndltd-MANITOBA-oai-mspace.lib.umanitoba.ca-1993-319632017-01-05T03:44:49Z Simulation modeling for the impact of triage liaison physician on emergency department to reduce overcrowding Yang, Jie Peng, Qingjin (Mechanical Engineering) Luo, Yunhua (Mechanical Engineering) Strome, Trevor (Emergency Medicine) Simulation modeling Discrete-event simulation Emergency Department Physician in triage Patient waiting time Patient length of stay Emergency department (ED) overcrowding has been a common complaint in Emergency Medicine in Canada for many years. Its adverse effects of prolonged waiting times cause patient dissatisfaction and unsafety. Previous studies indicate that adding a physician in triage (PIT) can increase accuracy and efficiency in the initial process of patient evaluation. However, the scientific evidence of the PIT impact on ED is far away from sufficient before its widespread implementation. This research is to search solutions using PIT to identify areas of improvement for the ED patient flow, based upon a validated discrete-event simulation (DES) model. As an efficient decision-making tool, the DES model also helps to develop an understanding of the current ED performance and quantitatively test various design alternatives for ED operations. February 2017 2017-01-03T18:18:22Z 2017-01-03T18:18:22Z http://hdl.handle.net/1993/31963 |
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Simulation modeling Discrete-event simulation Emergency Department Physician in triage Patient waiting time Patient length of stay |
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Simulation modeling Discrete-event simulation Emergency Department Physician in triage Patient waiting time Patient length of stay Yang, Jie Simulation modeling for the impact of triage liaison physician on emergency department to reduce overcrowding |
description |
Emergency department (ED) overcrowding has been a common complaint in Emergency Medicine in Canada for many years. Its adverse effects of prolonged waiting times cause patient dissatisfaction and unsafety. Previous studies indicate that adding a physician in triage (PIT) can increase accuracy and efficiency in the initial process of patient evaluation. However, the scientific evidence of the PIT impact on ED is far away from sufficient before its widespread implementation. This research is to search solutions using PIT to identify areas of improvement for the ED patient flow, based upon a validated discrete-event simulation (DES) model. As an efficient decision-making tool, the DES model also helps to develop an understanding of the current ED performance and quantitatively test various design alternatives for ED operations. === February 2017 |
author2 |
Peng, Qingjin (Mechanical Engineering) |
author_facet |
Peng, Qingjin (Mechanical Engineering) Yang, Jie |
author |
Yang, Jie |
author_sort |
Yang, Jie |
title |
Simulation modeling for the impact of triage liaison physician on emergency department to reduce overcrowding |
title_short |
Simulation modeling for the impact of triage liaison physician on emergency department to reduce overcrowding |
title_full |
Simulation modeling for the impact of triage liaison physician on emergency department to reduce overcrowding |
title_fullStr |
Simulation modeling for the impact of triage liaison physician on emergency department to reduce overcrowding |
title_full_unstemmed |
Simulation modeling for the impact of triage liaison physician on emergency department to reduce overcrowding |
title_sort |
simulation modeling for the impact of triage liaison physician on emergency department to reduce overcrowding |
publishDate |
2017 |
url |
http://hdl.handle.net/1993/31963 |
work_keys_str_mv |
AT yangjie simulationmodelingfortheimpactoftriageliaisonphysicianonemergencydepartmenttoreduceovercrowding |
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1718406363356332032 |