SIM-PFED: A simulation-based decision making model of patient flow for improving patient throughput time in Emergency Department

Healthcare sectors face multiple threats, and the hospital emergency department (ED) is one of the most crucial hospital areas. ED plays a key role in promoting hospitals' goals of enhancing service efficiency. ED is a complex system due to the stochastic behavior of patient arrivals, the unpre...

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Main Authors: Hamza, Nidal Abdelgadir Ahmed, Mazlina, Abdul Majid, Hujainah, Fadhl
Format: Article
Language:English
Published: IEEE 2021
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/31841/1/SIM-PFED_A_Simulation-Based_Decision_Making_Model_of_Patient_Flow_for_Improving_Patient_Throughput_Time_in_Emergency_Department%20%281%29.pdf
http://umpir.ump.edu.my/id/eprint/31841/
https://ieeexplore.ieee.org/document/9491147
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spelling my.ump.umpir.318412021-08-19T08:59:19Z http://umpir.ump.edu.my/id/eprint/31841/ SIM-PFED: A simulation-based decision making model of patient flow for improving patient throughput time in Emergency Department Hamza, Nidal Abdelgadir Ahmed Mazlina, Abdul Majid Hujainah, Fadhl QA75 Electronic computers. Computer science QA76 Computer software Healthcare sectors face multiple threats, and the hospital emergency department (ED) is one of the most crucial hospital areas. ED plays a key role in promoting hospitals' goals of enhancing service efficiency. ED is a complex system due to the stochastic behavior of patient arrivals, the unpredictability of the care required by patients, and the department's complex nature. Simulations are effective tools for analyzing and optimizing complex ED operations. Although existing ED simulation models have substantially improved ED performance in terms of ensuring patient satisfaction and effective treatment services, many deficiencies continue to exist in addressing the key challenge in ED, namely, long patient throughput time. The patient throughput time issue is affected by causative factors, such as waiting time, length of stay, and decision-making. This research aims to develop a new simulation model of patient flow for ED (SIM-PFED) to address the reported key challenge of the patient throughput time. SIM-PFED introduces a new process for patient flow in ED on the basis of the newly proposed operational patient flow by combining discrete event simulation and agent-based simulation and applying a multi-attribute decision-making method, namely, the technique for order preference by similarity to the ideal solution. Experiments were performed on three actual hospital ED datasets to assess the effectiveness of SIM-PFED. Experimental results revealed the superiority of SIM-PFED over other alternative models in reducing patient throughput time in ED by consuming less patient waiting time and having a shorter length of stay. The findings also demonstrated the effectiveness of SIM-PFED in helping ED decision-makers select the best scenarios to be implemented in ED for ensuring minimal throughput time while being cost effective. IEEE 2021-07-28 Article PeerReviewed pdf en http://umpir.ump.edu.my/id/eprint/31841/1/SIM-PFED_A_Simulation-Based_Decision_Making_Model_of_Patient_Flow_for_Improving_Patient_Throughput_Time_in_Emergency_Department%20%281%29.pdf Hamza, Nidal Abdelgadir Ahmed and Mazlina, Abdul Majid and Hujainah, Fadhl (2021) SIM-PFED: A simulation-based decision making model of patient flow for improving patient throughput time in Emergency Department. IEEE Access, 9. pp. 103419-103439. ISSN 2169-3536 https://ieeexplore.ieee.org/document/9491147 doi:10.1109/ACCESS.2021.3098625
institution Universiti Malaysia Pahang
building UMP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Pahang
content_source UMP Institutional Repository
url_provider http://umpir.ump.edu.my/
language English
topic QA75 Electronic computers. Computer science
QA76 Computer software
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Hamza, Nidal Abdelgadir Ahmed
Mazlina, Abdul Majid
Hujainah, Fadhl
SIM-PFED: A simulation-based decision making model of patient flow for improving patient throughput time in Emergency Department
description Healthcare sectors face multiple threats, and the hospital emergency department (ED) is one of the most crucial hospital areas. ED plays a key role in promoting hospitals' goals of enhancing service efficiency. ED is a complex system due to the stochastic behavior of patient arrivals, the unpredictability of the care required by patients, and the department's complex nature. Simulations are effective tools for analyzing and optimizing complex ED operations. Although existing ED simulation models have substantially improved ED performance in terms of ensuring patient satisfaction and effective treatment services, many deficiencies continue to exist in addressing the key challenge in ED, namely, long patient throughput time. The patient throughput time issue is affected by causative factors, such as waiting time, length of stay, and decision-making. This research aims to develop a new simulation model of patient flow for ED (SIM-PFED) to address the reported key challenge of the patient throughput time. SIM-PFED introduces a new process for patient flow in ED on the basis of the newly proposed operational patient flow by combining discrete event simulation and agent-based simulation and applying a multi-attribute decision-making method, namely, the technique for order preference by similarity to the ideal solution. Experiments were performed on three actual hospital ED datasets to assess the effectiveness of SIM-PFED. Experimental results revealed the superiority of SIM-PFED over other alternative models in reducing patient throughput time in ED by consuming less patient waiting time and having a shorter length of stay. The findings also demonstrated the effectiveness of SIM-PFED in helping ED decision-makers select the best scenarios to be implemented in ED for ensuring minimal throughput time while being cost effective.
format Article
author Hamza, Nidal Abdelgadir Ahmed
Mazlina, Abdul Majid
Hujainah, Fadhl
author_facet Hamza, Nidal Abdelgadir Ahmed
Mazlina, Abdul Majid
Hujainah, Fadhl
author_sort Hamza, Nidal Abdelgadir Ahmed
title SIM-PFED: A simulation-based decision making model of patient flow for improving patient throughput time in Emergency Department
title_short SIM-PFED: A simulation-based decision making model of patient flow for improving patient throughput time in Emergency Department
title_full SIM-PFED: A simulation-based decision making model of patient flow for improving patient throughput time in Emergency Department
title_fullStr SIM-PFED: A simulation-based decision making model of patient flow for improving patient throughput time in Emergency Department
title_full_unstemmed SIM-PFED: A simulation-based decision making model of patient flow for improving patient throughput time in Emergency Department
title_sort sim-pfed: a simulation-based decision making model of patient flow for improving patient throughput time in emergency department
publisher IEEE
publishDate 2021
url http://umpir.ump.edu.my/id/eprint/31841/1/SIM-PFED_A_Simulation-Based_Decision_Making_Model_of_Patient_Flow_for_Improving_Patient_Throughput_Time_in_Emergency_Department%20%281%29.pdf
http://umpir.ump.edu.my/id/eprint/31841/
https://ieeexplore.ieee.org/document/9491147
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score 13.160551