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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2023
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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 |
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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 |
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