Volume 22, Issue 2 (9-2023)
jhosp 2023, 22(2): 53-70 |
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Fatahi H, Waziri S M, Souri M, Askarian M H. Examining Patient Waiting Time with a Simulation Approach (Case Study: Emergency Department of Qaim Hospital, Mashhad). jhosp 2023; 22 (2) :53-70
URL: http://jhosp.tums.ac.ir/article-1-6608-en.html
URL: http://jhosp.tums.ac.ir/article-1-6608-en.html
1- Imam Hossein University (AS), Technical and Engineering Faculty, Systems Engineering Science and Technology Center, Tehran, Iran. *Corresponding Author E-mail: Hasanfatahi77@ihu.ac.ir
2- Torbat Heydarieh University, Technical and Engineering Faculty, Mashhad, Iran
3- Imam Hossein University (AS), Technical and Engineering Faculty, Systems Engineering Science and Technology Center, Tehran, Iran
2- Torbat Heydarieh University, Technical and Engineering Faculty, Mashhad, Iran
3- Imam Hossein University (AS), Technical and Engineering Faculty, Systems Engineering Science and Technology Center, Tehran, Iran
Abstract: (500 Views)
Background and purpose: The emergency department of a hospital is akin to its heart, where smooth operations can save many lives. This research aims to reduce patient waiting time in the emergency department using simulation techniques.
Methods: This descriptive-analytical study was conducted cross-sectionally in 2019 at the Qaim Hospital in Mashhad. The study focused on accurately modeling the patient flow process in the emergency department using simulation techniques and Arena software. Key performance indicators such as patient waiting time, number of discharged patients (system output), length of stay, resource efficiency, and improvements in the emergency department were evaluated.
Results: The simulation model's results indicated that the laboratory, specialist doctor examination, and pharmacy departments had the longest waiting times in this department, respectively.
Conclusion: To reduce patient waiting times and improve conditions, the most effective and cost-efficient solution is to add a laboratory technician to the laboratory department during the [15-23] shift at Qaim Hospital in Mashhad, which is projected to decrease patient waiting times by 66 minutes.
Methods: This descriptive-analytical study was conducted cross-sectionally in 2019 at the Qaim Hospital in Mashhad. The study focused on accurately modeling the patient flow process in the emergency department using simulation techniques and Arena software. Key performance indicators such as patient waiting time, number of discharged patients (system output), length of stay, resource efficiency, and improvements in the emergency department were evaluated.
Results: The simulation model's results indicated that the laboratory, specialist doctor examination, and pharmacy departments had the longest waiting times in this department, respectively.
Conclusion: To reduce patient waiting times and improve conditions, the most effective and cost-efficient solution is to add a laboratory technician to the laboratory department during the [15-23] shift at Qaim Hospital in Mashhad, which is projected to decrease patient waiting times by 66 minutes.
Type of Study: Original Article |
Subject:
کیفیت خدمات و ایمنی بیمار در بیمارستان
Received: 2023/04/24 | Accepted: 2023/11/7 | Published: 2024/04/16
Received: 2023/04/24 | Accepted: 2023/11/7 | Published: 2024/04/16
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