Analyzing the queuing theory at the emergency department at King Hussein cancer center
Dublin Core
Title
Analyzing the queuing theory at the emergency department at King Hussein cancer center
Subject
KHCC, ED, Health informatics desk, Triage room, Emergency bed area
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 wait‑
ing 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 diferent
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 vari‑
ables) demonstrated that the average residence time was between 21 and 36 min.
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 wait‑
ing 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 diferent
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 vari‑
ables) demonstrated that the average residence time was between 21 and 36 min.
Creator
Mahmoud Salameh Qandeel , Islam Khaleel Al‑Qudah , Riyad Nayfeh , Haitham Aryan, Omar Ajaj , Hisham Alkhatib and Yousef Hamdan
Publisher
BMC Emergency Medicine
Date
(2023) 23:22
Contributor
Fajar bagus W
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Mahmoud Salameh Qandeel , Islam Khaleel Al‑Qudah , Riyad Nayfeh , Haitham Aryan, Omar Ajaj , Hisham Alkhatib and Yousef Hamdan, “Analyzing the queuing theory at the emergency department at King Hussein cancer center,” Repository Horizon University Indonesia, accessed November 21, 2024, https://repository.horizon.ac.id/items/show/4319.