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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Bibliographic Details
Main Author: Yang, Jie
Other Authors: Peng, Qingjin (Mechanical Engineering)
Published: 2017
Subjects:
Online Access:http://hdl.handle.net/1993/31963
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spelling 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
collection NDLTD
sources NDLTD
topic Simulation modeling
Discrete-event simulation
Emergency Department
Physician in triage
Patient waiting time
Patient length of stay
spellingShingle 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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