Evaluation of provided services at MRI department in a public hospital using discrete event simulation technique: A case study

The main purpose of this study is to improve on the performance of a specific healthcare department in order to meet the major administrative expectation. These expectations include better serving the patients in that department in a seamless and most economical manner. This need opened the door for...

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Main Authors: Mwafak Shakoor, Moayyad Al-Nasra, Wisam Abu Jadayil, Nasser Jaber, Seham Abu Jadayil
Format: Article
Language:English
Published: Taylor & Francis Group 2017-01-01
Series:Cogent Engineering
Subjects:
Online Access:http://dx.doi.org/10.1080/23311916.2017.1403539
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spelling doaj-57f6434aedee435c90667f163a9432f02021-03-02T14:46:46ZengTaylor & Francis GroupCogent Engineering2331-19162017-01-014110.1080/23311916.2017.14035391403539Evaluation of provided services at MRI department in a public hospital using discrete event simulation technique: A case studyMwafak Shakoor0Moayyad Al-Nasra1Wisam Abu Jadayil2Nasser Jaber3Seham Abu Jadayil4American University of Ras Al KhaimahAmerican University of Ras Al KhaimahAmerican University of Ras Al KhaimahAmerican University of Ras Al KhaimahUniversity of PetraThe main purpose of this study is to improve on the performance of a specific healthcare department in order to meet the major administrative expectation. These expectations include better serving the patients in that department in a seamless and most economical manner. This need opened the door for a full review of an existing system. In this research a radiology department in a public hospital has been selected. The quality of service, patients’ medical needs, and the cost of service are the main criteria used to develop a simulation model in this study. This study uses Discrete Event Simulation as a main management tool. Collected and gathered data related to the processing time and arrival time over a period of one years are used in this study. A model was created using Arena modeling package. The model main results exhibited that the resources in the selected radiology division were exhausted. These results provided the needed tools for the management team to make managerial decisions resulting in enhancing the quality of the provided services by improving the imaging services in the radiology department. This improvement lead to reducing the patients’ waiting time and at the same time improved the quality of medical provided services. The major contribution of this article is related to investigating the operation effectiveness of MRI radiology division within a healthcare system by utilizing the Arena Simulation Software. This study utilizes an optimization technique to provide the higher management team the needed tools to make efficient decisions.http://dx.doi.org/10.1080/23311916.2017.1403539discrete event simulationwaiting timeradiology departmenthealthcare modelingperformance evaluation
collection DOAJ
language English
format Article
sources DOAJ
author Mwafak Shakoor
Moayyad Al-Nasra
Wisam Abu Jadayil
Nasser Jaber
Seham Abu Jadayil
spellingShingle Mwafak Shakoor
Moayyad Al-Nasra
Wisam Abu Jadayil
Nasser Jaber
Seham Abu Jadayil
Evaluation of provided services at MRI department in a public hospital using discrete event simulation technique: A case study
Cogent Engineering
discrete event simulation
waiting time
radiology department
healthcare modeling
performance evaluation
author_facet Mwafak Shakoor
Moayyad Al-Nasra
Wisam Abu Jadayil
Nasser Jaber
Seham Abu Jadayil
author_sort Mwafak Shakoor
title Evaluation of provided services at MRI department in a public hospital using discrete event simulation technique: A case study
title_short Evaluation of provided services at MRI department in a public hospital using discrete event simulation technique: A case study
title_full Evaluation of provided services at MRI department in a public hospital using discrete event simulation technique: A case study
title_fullStr Evaluation of provided services at MRI department in a public hospital using discrete event simulation technique: A case study
title_full_unstemmed Evaluation of provided services at MRI department in a public hospital using discrete event simulation technique: A case study
title_sort evaluation of provided services at mri department in a public hospital using discrete event simulation technique: a case study
publisher Taylor & Francis Group
series Cogent Engineering
issn 2331-1916
publishDate 2017-01-01
description The main purpose of this study is to improve on the performance of a specific healthcare department in order to meet the major administrative expectation. These expectations include better serving the patients in that department in a seamless and most economical manner. This need opened the door for a full review of an existing system. In this research a radiology department in a public hospital has been selected. The quality of service, patients’ medical needs, and the cost of service are the main criteria used to develop a simulation model in this study. This study uses Discrete Event Simulation as a main management tool. Collected and gathered data related to the processing time and arrival time over a period of one years are used in this study. A model was created using Arena modeling package. The model main results exhibited that the resources in the selected radiology division were exhausted. These results provided the needed tools for the management team to make managerial decisions resulting in enhancing the quality of the provided services by improving the imaging services in the radiology department. This improvement lead to reducing the patients’ waiting time and at the same time improved the quality of medical provided services. The major contribution of this article is related to investigating the operation effectiveness of MRI radiology division within a healthcare system by utilizing the Arena Simulation Software. This study utilizes an optimization technique to provide the higher management team the needed tools to make efficient decisions.
topic discrete event simulation
waiting time
radiology department
healthcare modeling
performance evaluation
url http://dx.doi.org/10.1080/23311916.2017.1403539
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