Improving Patient Flow with Data-Driven Patient Prioritization Method in the Emergency Department

We aim to improve the length-of-stay (LOS) of patients in the Emergency Department (ED) ambulatory care area. We propose the use of real-time computerized physician order entry data and ED patient flow management system to estimate the consultation time of patients re-entering the queue to consult a...

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Main Authors: TAN, Kar Way, LAM, Sean Shao Wei
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2015
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Online Access:https://ink.library.smu.edu.sg/sis_research/3204
https://ink.library.smu.edu.sg/context/sis_research/article/4205/viewcontent/ImprovingPatientFlowED_2015_InformsHealthcare.pdf
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Institution: Singapore Management University
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spelling sg-smu-ink.sis_research-42052016-08-17T07:36:02Z Improving Patient Flow with Data-Driven Patient Prioritization Method in the Emergency Department TAN, Kar Way LAM, Sean Shao Wei We aim to improve the length-of-stay (LOS) of patients in the Emergency Department (ED) ambulatory care area. We propose the use of real-time computerized physician order entry data and ED patient flow management system to estimate the consultation time of patients re-entering the queue to consult a doctor again after receiving treatment or results of tests. The estimation allows decision-makers to apply dynamic prioritization strategies that help the ED to identify patients who can complete their ED treatment process quickly, freeing up resources in the ED and lowering overall LOS. 2015-07-01T07:00:00Z text application/pdf https://ink.library.smu.edu.sg/sis_research/3204 https://ink.library.smu.edu.sg/context/sis_research/article/4205/viewcontent/ImprovingPatientFlowED_2015_InformsHealthcare.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 Healthcare Emergency department analytics Medicine and Health Sciences Numerical Analysis and Scientific Computing
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Healthcare
Emergency department
analytics
Medicine and Health Sciences
Numerical Analysis and Scientific Computing
spellingShingle Healthcare
Emergency department
analytics
Medicine and Health Sciences
Numerical Analysis and Scientific Computing
TAN, Kar Way
LAM, Sean Shao Wei
Improving Patient Flow with Data-Driven Patient Prioritization Method in the Emergency Department
description We aim to improve the length-of-stay (LOS) of patients in the Emergency Department (ED) ambulatory care area. We propose the use of real-time computerized physician order entry data and ED patient flow management system to estimate the consultation time of patients re-entering the queue to consult a doctor again after receiving treatment or results of tests. The estimation allows decision-makers to apply dynamic prioritization strategies that help the ED to identify patients who can complete their ED treatment process quickly, freeing up resources in the ED and lowering overall LOS.
format text
author TAN, Kar Way
LAM, Sean Shao Wei
author_facet TAN, Kar Way
LAM, Sean Shao Wei
author_sort TAN, Kar Way
title Improving Patient Flow with Data-Driven Patient Prioritization Method in the Emergency Department
title_short Improving Patient Flow with Data-Driven Patient Prioritization Method in the Emergency Department
title_full Improving Patient Flow with Data-Driven Patient Prioritization Method in the Emergency Department
title_fullStr Improving Patient Flow with Data-Driven Patient Prioritization Method in the Emergency Department
title_full_unstemmed Improving Patient Flow with Data-Driven Patient Prioritization Method in the Emergency Department
title_sort improving patient flow with data-driven patient prioritization method in the emergency department
publisher Institutional Knowledge at Singapore Management University
publishDate 2015
url https://ink.library.smu.edu.sg/sis_research/3204
https://ink.library.smu.edu.sg/context/sis_research/article/4205/viewcontent/ImprovingPatientFlowED_2015_InformsHealthcare.pdf
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