ESTIMATING THE BEST RESOURCE ALLOCATION AT AN EMERGENCY DEPARTMENT'S GREEN ZONE USING BCC SUPER EFFICIENCY AND BI-OBJECTIVE MCDEA BCC MODELS; [Menganggarkan Pengagihan Sumber yang Terbaik di Zon Hijau Jabatan Kecemasan Menggunakan Model Kecekapan Super BCC dan Dwi-Objektif MCDEA BCC]

Hospitals are healthcare institutions that provide medical and surgical treatment and nursing care for sick or injured people. Hospitals are generally divided into different types of departments, such as emergency, outpatients, and inpatients. The emergency department (ED) is one of the busiest depa...

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Published in:Journal of Quality Measurement and Analysis
Main Author: Yusoff N.S.M.; Azhar A.A.; Rozak C.N.A.C.; Selamat S.H.; Adna N.; Liong C.-Y.
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2021
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202510974&partnerID=40&md5=50674803cd1f4ba57b887382866776bd
id 2-s2.0-85202510974
spelling 2-s2.0-85202510974
Yusoff N.S.M.; Azhar A.A.; Rozak C.N.A.C.; Selamat S.H.; Adna N.; Liong C.-Y.
ESTIMATING THE BEST RESOURCE ALLOCATION AT AN EMERGENCY DEPARTMENT'S GREEN ZONE USING BCC SUPER EFFICIENCY AND BI-OBJECTIVE MCDEA BCC MODELS; [Menganggarkan Pengagihan Sumber yang Terbaik di Zon Hijau Jabatan Kecemasan Menggunakan Model Kecekapan Super BCC dan Dwi-Objektif MCDEA BCC]
2021
Journal of Quality Measurement and Analysis
17
1

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202510974&partnerID=40&md5=50674803cd1f4ba57b887382866776bd
Hospitals are healthcare institutions that provide medical and surgical treatment and nursing care for sick or injured people. Hospitals are generally divided into different types of departments, such as emergency, outpatients, and inpatients. The emergency department (ED) is one of the busiest departments, especially during weekends and public holidays as it handles various sorts of emergency cases. The Green Zone of an Emergency Department, which provides treatment for non-critical cases, is known to be a contributor to the extensive waiting period of patients and overcrowding. As one of the busiest departments, many patients have experienced a long waiting period before being able to receive treatment while enduring the congestion in the ED due to overcrowding of patients. This study aims to estimate the best resource allocations for improving the Emergency Department's Green Zone services. Forty resource allocations including the current and proposed allocations, have been analysed using the Data Envelopment Analysis models. Based on the comparison, the DMU36 proposed by the BCC Super Efficiency model is selected as the best and efficient resource allocation compared to the DMU18 proposed by the Bi-Objective MCDEA-BCC model in order to improve the current services in the Emergency Department's Green Zone during weekends and public holidays. The proposed resource allocation suggests the combination of four doctors and four nurses compared to the previous resource allocation of two doctors and two nurses in every shift. The result shows that the patients' waiting time before treatment at the Emergency Department's Green Zone reduces drastically from 177.80 minutes to 11.47 minutes. The findings also improved the utilisation rates of resources and managed to increase the number of patients served during weekends and public holidays. © 2021, Penerbit Universiti Kebangsaan Malaysia. All rights reserved.
Penerbit Universiti Kebangsaan Malaysia
18235670
English
Article

author Yusoff N.S.M.; Azhar A.A.; Rozak C.N.A.C.; Selamat S.H.; Adna N.; Liong C.-Y.
spellingShingle Yusoff N.S.M.; Azhar A.A.; Rozak C.N.A.C.; Selamat S.H.; Adna N.; Liong C.-Y.
ESTIMATING THE BEST RESOURCE ALLOCATION AT AN EMERGENCY DEPARTMENT'S GREEN ZONE USING BCC SUPER EFFICIENCY AND BI-OBJECTIVE MCDEA BCC MODELS; [Menganggarkan Pengagihan Sumber yang Terbaik di Zon Hijau Jabatan Kecemasan Menggunakan Model Kecekapan Super BCC dan Dwi-Objektif MCDEA BCC]
author_facet Yusoff N.S.M.; Azhar A.A.; Rozak C.N.A.C.; Selamat S.H.; Adna N.; Liong C.-Y.
author_sort Yusoff N.S.M.; Azhar A.A.; Rozak C.N.A.C.; Selamat S.H.; Adna N.; Liong C.-Y.
title ESTIMATING THE BEST RESOURCE ALLOCATION AT AN EMERGENCY DEPARTMENT'S GREEN ZONE USING BCC SUPER EFFICIENCY AND BI-OBJECTIVE MCDEA BCC MODELS; [Menganggarkan Pengagihan Sumber yang Terbaik di Zon Hijau Jabatan Kecemasan Menggunakan Model Kecekapan Super BCC dan Dwi-Objektif MCDEA BCC]
title_short ESTIMATING THE BEST RESOURCE ALLOCATION AT AN EMERGENCY DEPARTMENT'S GREEN ZONE USING BCC SUPER EFFICIENCY AND BI-OBJECTIVE MCDEA BCC MODELS; [Menganggarkan Pengagihan Sumber yang Terbaik di Zon Hijau Jabatan Kecemasan Menggunakan Model Kecekapan Super BCC dan Dwi-Objektif MCDEA BCC]
title_full ESTIMATING THE BEST RESOURCE ALLOCATION AT AN EMERGENCY DEPARTMENT'S GREEN ZONE USING BCC SUPER EFFICIENCY AND BI-OBJECTIVE MCDEA BCC MODELS; [Menganggarkan Pengagihan Sumber yang Terbaik di Zon Hijau Jabatan Kecemasan Menggunakan Model Kecekapan Super BCC dan Dwi-Objektif MCDEA BCC]
title_fullStr ESTIMATING THE BEST RESOURCE ALLOCATION AT AN EMERGENCY DEPARTMENT'S GREEN ZONE USING BCC SUPER EFFICIENCY AND BI-OBJECTIVE MCDEA BCC MODELS; [Menganggarkan Pengagihan Sumber yang Terbaik di Zon Hijau Jabatan Kecemasan Menggunakan Model Kecekapan Super BCC dan Dwi-Objektif MCDEA BCC]
title_full_unstemmed ESTIMATING THE BEST RESOURCE ALLOCATION AT AN EMERGENCY DEPARTMENT'S GREEN ZONE USING BCC SUPER EFFICIENCY AND BI-OBJECTIVE MCDEA BCC MODELS; [Menganggarkan Pengagihan Sumber yang Terbaik di Zon Hijau Jabatan Kecemasan Menggunakan Model Kecekapan Super BCC dan Dwi-Objektif MCDEA BCC]
title_sort ESTIMATING THE BEST RESOURCE ALLOCATION AT AN EMERGENCY DEPARTMENT'S GREEN ZONE USING BCC SUPER EFFICIENCY AND BI-OBJECTIVE MCDEA BCC MODELS; [Menganggarkan Pengagihan Sumber yang Terbaik di Zon Hijau Jabatan Kecemasan Menggunakan Model Kecekapan Super BCC dan Dwi-Objektif MCDEA BCC]
publishDate 2021
container_title Journal of Quality Measurement and Analysis
container_volume 17
container_issue 1
doi_str_mv
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85202510974&partnerID=40&md5=50674803cd1f4ba57b887382866776bd
description Hospitals are healthcare institutions that provide medical and surgical treatment and nursing care for sick or injured people. Hospitals are generally divided into different types of departments, such as emergency, outpatients, and inpatients. The emergency department (ED) is one of the busiest departments, especially during weekends and public holidays as it handles various sorts of emergency cases. The Green Zone of an Emergency Department, which provides treatment for non-critical cases, is known to be a contributor to the extensive waiting period of patients and overcrowding. As one of the busiest departments, many patients have experienced a long waiting period before being able to receive treatment while enduring the congestion in the ED due to overcrowding of patients. This study aims to estimate the best resource allocations for improving the Emergency Department's Green Zone services. Forty resource allocations including the current and proposed allocations, have been analysed using the Data Envelopment Analysis models. Based on the comparison, the DMU36 proposed by the BCC Super Efficiency model is selected as the best and efficient resource allocation compared to the DMU18 proposed by the Bi-Objective MCDEA-BCC model in order to improve the current services in the Emergency Department's Green Zone during weekends and public holidays. The proposed resource allocation suggests the combination of four doctors and four nurses compared to the previous resource allocation of two doctors and two nurses in every shift. The result shows that the patients' waiting time before treatment at the Emergency Department's Green Zone reduces drastically from 177.80 minutes to 11.47 minutes. The findings also improved the utilisation rates of resources and managed to increase the number of patients served during weekends and public holidays. © 2021, Penerbit Universiti Kebangsaan Malaysia. All rights reserved.
publisher Penerbit Universiti Kebangsaan Malaysia
issn 18235670
language English
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