Improving patient flow in emergency department through dynamic priority queue

Most queuing problems are based on FIFO, LIFO, or static priority queues; very few address dynamic priority queues. In this paper, we present a case in a hospital’s emergency department (ED) where the queuing process can be modeled as a time-varying M/M/s queue with re-entrant patients. In order to...

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Main Authors: TAN, Kar Way, WANG, Chao, LAU, Hoong Chuin
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Language:English
Published: Institutional Knowledge at Singapore Management University 2012
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Online Access:https://ink.library.smu.edu.sg/sis_research/3317
https://ink.library.smu.edu.sg/context/sis_research/article/4319/viewcontent/ImprovingPatientFlowEmergencyDepartment_2012_CASE.pdf
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spelling sg-smu-ink.sis_research-43192016-12-15T09:49:02Z Improving patient flow in emergency department through dynamic priority queue TAN, Kar Way WANG, Chao LAU, Hoong Chuin Most queuing problems are based on FIFO, LIFO, or static priority queues; very few address dynamic priority queues. In this paper, we present a case in a hospital’s emergency department (ED) where the queuing process can be modeled as a time-varying M/M/s queue with re-entrant patients. In order to improve patient flow in the department, we propose the use of a dynamic priority queue to dispatch patients to consultation with doctors. We test our proposed model using simulation and our experimental results show that a dynamic priority queue is effective in reducing the length of stay (LOS) of patients and hence improving patient flow. Furthermore, we show that a hybrid scheme is effective in preventing starvation. 2012-08-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3317 info:doi/10.1109/CoASE.2012.6386409 https://ink.library.smu.edu.sg/context/sis_research/article/4319/viewcontent/ImprovingPatientFlowEmergencyDepartment_2012_CASE.pdf http://creativecommons.org/licenses/by-nc-nd/4.0/ Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Artificial Intelligence and Robotics Medicine and Health Sciences
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Artificial Intelligence and Robotics
Medicine and Health Sciences
spellingShingle Artificial Intelligence and Robotics
Medicine and Health Sciences
TAN, Kar Way
WANG, Chao
LAU, Hoong Chuin
Improving patient flow in emergency department through dynamic priority queue
description Most queuing problems are based on FIFO, LIFO, or static priority queues; very few address dynamic priority queues. In this paper, we present a case in a hospital’s emergency department (ED) where the queuing process can be modeled as a time-varying M/M/s queue with re-entrant patients. In order to improve patient flow in the department, we propose the use of a dynamic priority queue to dispatch patients to consultation with doctors. We test our proposed model using simulation and our experimental results show that a dynamic priority queue is effective in reducing the length of stay (LOS) of patients and hence improving patient flow. Furthermore, we show that a hybrid scheme is effective in preventing starvation.
format text
author TAN, Kar Way
WANG, Chao
LAU, Hoong Chuin
author_facet TAN, Kar Way
WANG, Chao
LAU, Hoong Chuin
author_sort TAN, Kar Way
title Improving patient flow in emergency department through dynamic priority queue
title_short Improving patient flow in emergency department through dynamic priority queue
title_full Improving patient flow in emergency department through dynamic priority queue
title_fullStr Improving patient flow in emergency department through dynamic priority queue
title_full_unstemmed Improving patient flow in emergency department through dynamic priority queue
title_sort improving patient flow in emergency department through dynamic priority queue
publisher Institutional Knowledge at Singapore Management University
publishDate 2012
url https://ink.library.smu.edu.sg/sis_research/3317
https://ink.library.smu.edu.sg/context/sis_research/article/4319/viewcontent/ImprovingPatientFlowEmergencyDepartment_2012_CASE.pdf
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