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Dataset Information

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


ABSTRACT:

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

SUBMITTER: Qandeel MS 

PROVIDER: S-EPMC9976515 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature