Cargando…

Analyzing the queuing theory at the emergency department at King Hussein cancer center

OBJECTIVES: This study was conducted in 2022 at King Hussein Cancer Center (KHCC) to analyze the queuing theory approach at the Emergency Department (ED) to estimate patients’ wait times and predict the accuracy of the queuing theory approach. METHODS: According to the statistics, the peak months we...

Descripción completa

Detalles Bibliográficos
Autores principales: Qandeel, Mahmoud Salameh, Al-Qudah, Islam Khaleel, Nayfeh, Riyad, Aryan, Haitham, Ajaj, Omar, Alkhatib, Hisham, Hamdan, Yousef
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9976515/
https://www.ncbi.nlm.nih.gov/pubmed/36855096
http://dx.doi.org/10.1186/s12873-023-00778-x
_version_ 1784899100743827456
author Qandeel, Mahmoud Salameh
Al-Qudah, Islam Khaleel
Nayfeh, Riyad
Aryan, Haitham
Ajaj, Omar
Alkhatib, Hisham
Hamdan, Yousef
author_facet Qandeel, Mahmoud Salameh
Al-Qudah, Islam Khaleel
Nayfeh, Riyad
Aryan, Haitham
Ajaj, Omar
Alkhatib, Hisham
Hamdan, Yousef
author_sort Qandeel, Mahmoud Salameh
collection PubMed
description OBJECTIVES: This study was conducted in 2022 at King Hussein Cancer Center (KHCC) to analyze the queuing theory approach at the Emergency Department (ED) to estimate patients’ wait times and predict the accuracy of the queuing theory approach. METHODS: According to the statistics, the peak months were July and August, with peak hours from 10 a.m. until 6 p.m. The study sample was a week in July 2022, during the peak days and hours. This study measured patients’ wait times at these three stations: the health informatics desk, triage room, and emergency bed area. RESULTS: The average number of patients in line at the health informatics desk was not more than 3, and the waiting time was between 1 and 4 min. Since patients were receiving the service immediately in the triage room, there was no waiting time or line because the nurse’s role ended after taking the vital signs and rating the patient’s disease acuity. Using equations of queuing theory and other relativistic equations in the emergency bed area gave different results. The queuing theory approach showed that the average residence time in the system was between 4 and 10 min. CONCLUSIONS: Conversely, relativistic equations (ratios of served patients and departed patients and other related variables) demonstrated that the average residence time was between 21 and 36 min. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12873-023-00778-x.
format Online
Article
Text
id pubmed-9976515
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-99765152023-03-02 Analyzing the queuing theory at the emergency department at King Hussein cancer center Qandeel, Mahmoud Salameh Al-Qudah, Islam Khaleel Nayfeh, Riyad Aryan, Haitham Ajaj, Omar Alkhatib, Hisham Hamdan, Yousef BMC Emerg Med Research OBJECTIVES: This study was conducted in 2022 at King Hussein Cancer Center (KHCC) to analyze the queuing theory approach at the Emergency Department (ED) to estimate patients’ wait times and predict the accuracy of the queuing theory approach. METHODS: According to the statistics, the peak months were July and August, with peak hours from 10 a.m. until 6 p.m. The study sample was a week in July 2022, during the peak days and hours. This study measured patients’ wait times at these three stations: the health informatics desk, triage room, and emergency bed area. RESULTS: The average number of patients in line at the health informatics desk was not more than 3, and the waiting time was between 1 and 4 min. Since patients were receiving the service immediately in the triage room, there was no waiting time or line because the nurse’s role ended after taking the vital signs and rating the patient’s disease acuity. Using equations of queuing theory and other relativistic equations in the emergency bed area gave different results. The queuing theory approach showed that the average residence time in the system was between 4 and 10 min. CONCLUSIONS: Conversely, relativistic equations (ratios of served patients and departed patients and other related variables) demonstrated that the average residence time was between 21 and 36 min. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12873-023-00778-x. BioMed Central 2023-03-01 /pmc/articles/PMC9976515/ /pubmed/36855096 http://dx.doi.org/10.1186/s12873-023-00778-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Qandeel, Mahmoud Salameh
Al-Qudah, Islam Khaleel
Nayfeh, Riyad
Aryan, Haitham
Ajaj, Omar
Alkhatib, Hisham
Hamdan, Yousef
Analyzing the queuing theory at the emergency department at King Hussein cancer center
title Analyzing the queuing theory at the emergency department at King Hussein cancer center
title_full Analyzing the queuing theory at the emergency department at King Hussein cancer center
title_fullStr Analyzing the queuing theory at the emergency department at King Hussein cancer center
title_full_unstemmed Analyzing the queuing theory at the emergency department at King Hussein cancer center
title_short Analyzing the queuing theory at the emergency department at King Hussein cancer center
title_sort analyzing the queuing theory at the emergency department at king hussein cancer center
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9976515/
https://www.ncbi.nlm.nih.gov/pubmed/36855096
http://dx.doi.org/10.1186/s12873-023-00778-x
work_keys_str_mv AT qandeelmahmoudsalameh analyzingthequeuingtheoryattheemergencydepartmentatkinghusseincancercenter
AT alqudahislamkhaleel analyzingthequeuingtheoryattheemergencydepartmentatkinghusseincancercenter
AT nayfehriyad analyzingthequeuingtheoryattheemergencydepartmentatkinghusseincancercenter
AT aryanhaitham analyzingthequeuingtheoryattheemergencydepartmentatkinghusseincancercenter
AT ajajomar analyzingthequeuingtheoryattheemergencydepartmentatkinghusseincancercenter
AT alkhatibhisham analyzingthequeuingtheoryattheemergencydepartmentatkinghusseincancercenter
AT hamdanyousef analyzingthequeuingtheoryattheemergencydepartmentatkinghusseincancercenter