PREDICTION OF PATIENT ADMISSIONS AND BED REQUIREMENT IN INPATIENT DEPARTMENT BY USING SYSTEM DYNAMIC SIMULATION; [Peramalan Kemasukan Pesakit dan Keperluan Katil di Jabatan Pesakit Dalam dengan Menggunakan Simulasi Sistem Dinamik]

Hospitals play a vital role in a nation’s healthcare system. As the custodian of primary healthcare providers, hospitals strive to provide continuous and comprehensive care to patients. The increase of patients annually sparked the requirement for the hospitals to reasonably plan and project their r...

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Published in:Journal of Quality Measurement and Analysis
Main Author: Yusoff N.S.M.; Alias S.; Norsan N.M.M.; Shamsuhaidi N.; Rozalli N.
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2022
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189278127&partnerID=40&md5=d1f28372ca4d2341cae21d1ceeb6bc99
id 2-s2.0-85189278127
spelling 2-s2.0-85189278127
Yusoff N.S.M.; Alias S.; Norsan N.M.M.; Shamsuhaidi N.; Rozalli N.
PREDICTION OF PATIENT ADMISSIONS AND BED REQUIREMENT IN INPATIENT DEPARTMENT BY USING SYSTEM DYNAMIC SIMULATION; [Peramalan Kemasukan Pesakit dan Keperluan Katil di Jabatan Pesakit Dalam dengan Menggunakan Simulasi Sistem Dinamik]
2022
Journal of Quality Measurement and Analysis
18
2

https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189278127&partnerID=40&md5=d1f28372ca4d2341cae21d1ceeb6bc99
Hospitals play a vital role in a nation’s healthcare system. As the custodian of primary healthcare providers, hospitals strive to provide continuous and comprehensive care to patients. The increase of patients annually sparked the requirement for the hospitals to reasonably plan and project their resources especially treatment beds with the goal to meet the uprising patient’s demand. A similar predicament is also encountered by one of the busiest public hospitals in Selangor, Malaysia. The spike in patients’ demand has reflected in the hospital’s struggle in embracing the rapid changes while providing the best quality health care. Therefore, this study focuses on the hospital’s inpatient department which requires accurate resource planning and precise allocation of treatment beds. Hence, the system dynamics simulation modelling is developed to enable the prediction of the number of inpatient admission and the total number of treatment beds required to meet the demand at the hospital for a period of ten years. The study’s findings revealed an increase in inpatient admission and roughly one bed is required to be added approximately every two years in pursuance to meet the demand. Conclusively, the surge in the inpatient’s admission will parallelly increase the use of treatment beds by the patients. The results formulated by this study will enable the hospital management’s decision making in terms of managing, planning and predicting of resources within their allocated budget while ensuring the betterment of service quality and enhancing the performance of the inpatient department. © 2022, Penerbit Universiti Kebangsaan Malaysia. All rights reserved.
Penerbit Universiti Kebangsaan Malaysia
18235670
English
Article

author Yusoff N.S.M.; Alias S.; Norsan N.M.M.; Shamsuhaidi N.; Rozalli N.
spellingShingle Yusoff N.S.M.; Alias S.; Norsan N.M.M.; Shamsuhaidi N.; Rozalli N.
PREDICTION OF PATIENT ADMISSIONS AND BED REQUIREMENT IN INPATIENT DEPARTMENT BY USING SYSTEM DYNAMIC SIMULATION; [Peramalan Kemasukan Pesakit dan Keperluan Katil di Jabatan Pesakit Dalam dengan Menggunakan Simulasi Sistem Dinamik]
author_facet Yusoff N.S.M.; Alias S.; Norsan N.M.M.; Shamsuhaidi N.; Rozalli N.
author_sort Yusoff N.S.M.; Alias S.; Norsan N.M.M.; Shamsuhaidi N.; Rozalli N.
title PREDICTION OF PATIENT ADMISSIONS AND BED REQUIREMENT IN INPATIENT DEPARTMENT BY USING SYSTEM DYNAMIC SIMULATION; [Peramalan Kemasukan Pesakit dan Keperluan Katil di Jabatan Pesakit Dalam dengan Menggunakan Simulasi Sistem Dinamik]
title_short PREDICTION OF PATIENT ADMISSIONS AND BED REQUIREMENT IN INPATIENT DEPARTMENT BY USING SYSTEM DYNAMIC SIMULATION; [Peramalan Kemasukan Pesakit dan Keperluan Katil di Jabatan Pesakit Dalam dengan Menggunakan Simulasi Sistem Dinamik]
title_full PREDICTION OF PATIENT ADMISSIONS AND BED REQUIREMENT IN INPATIENT DEPARTMENT BY USING SYSTEM DYNAMIC SIMULATION; [Peramalan Kemasukan Pesakit dan Keperluan Katil di Jabatan Pesakit Dalam dengan Menggunakan Simulasi Sistem Dinamik]
title_fullStr PREDICTION OF PATIENT ADMISSIONS AND BED REQUIREMENT IN INPATIENT DEPARTMENT BY USING SYSTEM DYNAMIC SIMULATION; [Peramalan Kemasukan Pesakit dan Keperluan Katil di Jabatan Pesakit Dalam dengan Menggunakan Simulasi Sistem Dinamik]
title_full_unstemmed PREDICTION OF PATIENT ADMISSIONS AND BED REQUIREMENT IN INPATIENT DEPARTMENT BY USING SYSTEM DYNAMIC SIMULATION; [Peramalan Kemasukan Pesakit dan Keperluan Katil di Jabatan Pesakit Dalam dengan Menggunakan Simulasi Sistem Dinamik]
title_sort PREDICTION OF PATIENT ADMISSIONS AND BED REQUIREMENT IN INPATIENT DEPARTMENT BY USING SYSTEM DYNAMIC SIMULATION; [Peramalan Kemasukan Pesakit dan Keperluan Katil di Jabatan Pesakit Dalam dengan Menggunakan Simulasi Sistem Dinamik]
publishDate 2022
container_title Journal of Quality Measurement and Analysis
container_volume 18
container_issue 2
doi_str_mv
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-85189278127&partnerID=40&md5=d1f28372ca4d2341cae21d1ceeb6bc99
description Hospitals play a vital role in a nation’s healthcare system. As the custodian of primary healthcare providers, hospitals strive to provide continuous and comprehensive care to patients. The increase of patients annually sparked the requirement for the hospitals to reasonably plan and project their resources especially treatment beds with the goal to meet the uprising patient’s demand. A similar predicament is also encountered by one of the busiest public hospitals in Selangor, Malaysia. The spike in patients’ demand has reflected in the hospital’s struggle in embracing the rapid changes while providing the best quality health care. Therefore, this study focuses on the hospital’s inpatient department which requires accurate resource planning and precise allocation of treatment beds. Hence, the system dynamics simulation modelling is developed to enable the prediction of the number of inpatient admission and the total number of treatment beds required to meet the demand at the hospital for a period of ten years. The study’s findings revealed an increase in inpatient admission and roughly one bed is required to be added approximately every two years in pursuance to meet the demand. Conclusively, the surge in the inpatient’s admission will parallelly increase the use of treatment beds by the patients. The results formulated by this study will enable the hospital management’s decision making in terms of managing, planning and predicting of resources within their allocated budget while ensuring the betterment of service quality and enhancing the performance of the inpatient department. © 2022, Penerbit Universiti Kebangsaan Malaysia. All rights reserved.
publisher Penerbit Universiti Kebangsaan Malaysia
issn 18235670
language English
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