Discrete event simulation and data envelopment analysis models for selecting the best resource allocation alternative at an emergency department’s green zone

The Green Zone of Emergency Department Hospital Universiti Sains Malaysia (EDHUSM) which provides treatment for non-critical cases contributes partly to the hustle and bustle in the emergency department. The imbalance of doctors and nurses with the patient ratio which forms the resources’ bottleneck...

Full description

Bibliographic Details
Main Authors:	Nazhatul Sahima Mohd Yusoff, Choong, Yeun Liong, Abu Yazid Md Noh, Wan Rosmanira Ismail
Format:	Article
Language:	English
Published:	Penerbit Universiti Kebangsaan Malaysia 2018
Online Access:	http://journalarticle.ukm.my/12674/ http://journalarticle.ukm.my/12674/ http://journalarticle.ukm.my/12674/1/35%20Nazhatul%20Sahima.pdf

id	ukm-12674
recordtype	eprints
spelling	ukm-126742019-03-17T11:49:16Z http://journalarticle.ukm.my/12674/ Discrete event simulation and data envelopment analysis models for selecting the best resource allocation alternative at an emergency department’s green zone Nazhatul Sahima Mohd Yusoff, Choong, Yeun Liong Abu Yazid Md Noh, Wan Rosmanira Ismail, The Green Zone of Emergency Department Hospital Universiti Sains Malaysia (EDHUSM) which provides treatment for non-critical cases contributes partly to the hustle and bustle in the emergency department. The imbalance of doctors and nurses with the patient ratio which forms the resources’ bottleneck further results to the long patients’ waiting time especially after the office hours and during weekends and public holidays. Collectively, this disproportion and bottlenecks roots up the current problem faced by Green Zone EDHUSM which constantly fails to achieve the KPIs set by the hospital. Henceforth, this study focuses on the best resource allocation of doctors and nurses for shifts during the weekdays and for shifts during weekends and public holidays. The hybrid method of Discrete Event Simulation, and Data Envelopment Analysis models such as BCC-input oriented and Super-Efficiency, were deployed to obtain the best resource allocation for the two groups of shift. The method produced a series of resources allocation alternatives for doctors and nurses with a total of 64 alternatives for weekdays and 729 alternatives for weekends and public holidays. The results show that the best allocation for doctors and nurses during weekdays are three doctors and three nurses serving for every shift, while during weekends and public holidays, a combination of four doctors and four nurses for every shift are the best. The proposed combinations have reduced the average waiting time, optimized the utilization of doctors and nurses, and managed to increase the number of patients served during weekdays, weekends and public holidays. Penerbit Universiti Kebangsaan Malaysia 2018-11 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/12674/1/35%20Nazhatul%20Sahima.pdf Nazhatul Sahima Mohd Yusoff, and Choong, Yeun Liong and Abu Yazid Md Noh, and Wan Rosmanira Ismail, (2018) Discrete event simulation and data envelopment analysis models for selecting the best resource allocation alternative at an emergency department’s green zone. Sains Malaysiana, 47 (11). pp. 2917-2925. ISSN 0126-6039 http://www.ukm.my/jsm/malay_journals/jilid47bil11_2018/KandunganJilid47Bil11_2018.html
repository_type	Digital Repository
institution_category	Local University
institution	Universiti Kebangasaan Malaysia
building	UKM Institutional Repository
collection	Online Access
language	English
description	The Green Zone of Emergency Department Hospital Universiti Sains Malaysia (EDHUSM) which provides treatment for non-critical cases contributes partly to the hustle and bustle in the emergency department. The imbalance of doctors and nurses with the patient ratio which forms the resources’ bottleneck further results to the long patients’ waiting time especially after the office hours and during weekends and public holidays. Collectively, this disproportion and bottlenecks roots up the current problem faced by Green Zone EDHUSM which constantly fails to achieve the KPIs set by the hospital. Henceforth, this study focuses on the best resource allocation of doctors and nurses for shifts during the weekdays and for shifts during weekends and public holidays. The hybrid method of Discrete Event Simulation, and Data Envelopment Analysis models such as BCC-input oriented and Super-Efficiency, were deployed to obtain the best resource allocation for the two groups of shift. The method produced a series of resources allocation alternatives for doctors and nurses with a total of 64 alternatives for weekdays and 729 alternatives for weekends and public holidays. The results show that the best allocation for doctors and nurses during weekdays are three doctors and three nurses serving for every shift, while during weekends and public holidays, a combination of four doctors and four nurses for every shift are the best. The proposed combinations have reduced the average waiting time, optimized the utilization of doctors and nurses, and managed to increase the number of patients served during weekdays, weekends and public holidays.
format	Article
author	Nazhatul Sahima Mohd Yusoff, Choong, Yeun Liong Abu Yazid Md Noh, Wan Rosmanira Ismail,
spellingShingle	Nazhatul Sahima Mohd Yusoff, Choong, Yeun Liong Abu Yazid Md Noh, Wan Rosmanira Ismail, Discrete event simulation and data envelopment analysis models for selecting the best resource allocation alternative at an emergency department’s green zone
author_facet	Nazhatul Sahima Mohd Yusoff, Choong, Yeun Liong Abu Yazid Md Noh, Wan Rosmanira Ismail,
author_sort	Nazhatul Sahima Mohd Yusoff,
title	Discrete event simulation and data envelopment analysis models for selecting the best resource allocation alternative at an emergency department’s green zone
title_short	Discrete event simulation and data envelopment analysis models for selecting the best resource allocation alternative at an emergency department’s green zone
title_full	Discrete event simulation and data envelopment analysis models for selecting the best resource allocation alternative at an emergency department’s green zone
title_fullStr	Discrete event simulation and data envelopment analysis models for selecting the best resource allocation alternative at an emergency department’s green zone
title_full_unstemmed	Discrete event simulation and data envelopment analysis models for selecting the best resource allocation alternative at an emergency department’s green zone
title_sort	discrete event simulation and data envelopment analysis models for selecting the best resource allocation alternative at an emergency department’s green zone
publisher	Penerbit Universiti Kebangsaan Malaysia
publishDate	2018
url	http://journalarticle.ukm.my/12674/ http://journalarticle.ukm.my/12674/ http://journalarticle.ukm.my/12674/1/35%20Nazhatul%20Sahima.pdf
first_indexed	2023-09-18T20:03:08Z
last_indexed	2023-09-18T20:03:08Z
_version_	1777406982176636928

Discrete event simulation and data envelopment analysis models for selecting the best resource allocation alternative at an emergency department’s green zone

Similar Items