Volume 19, Issue 1 (4-2020)
jhosp 2020, 19(1): 52-61 |
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Markazi moghadam N, Zargar S, Ghaderi Z, Tofighi E. Optimization and Scheduling of the Surgery Hall of a Teaching Hospital of Tehran based on Discrete Event Simulation Model. jhosp 2020; 19 (1) :52-61
URL: http://jhosp.tums.ac.ir/article-1-6272-en.html
URL: http://jhosp.tums.ac.ir/article-1-6272-en.html
1- Assistant Professor of department of Health Management and Economic, school of Medical, Aja University of Medical Sciences, Tehran, Iran.
2- Master of Industrial Engineering Student, Health Systems Orientation, Tarbiat Modares University, Tehran, Iran.
3- Msc of Health care Management, Aja University of Medical Sciences, Tehran, Iran, (* Corresponding author) ehsantofighi603@gmail.com
2- Master of Industrial Engineering Student, Health Systems Orientation, Tarbiat Modares University, Tehran, Iran.
3- Msc of Health care Management, Aja University of Medical Sciences, Tehran, Iran, (* Corresponding author) ehsantofighi603@gmail.com
Abstract: (2272 Views)
Background: Hospitals play a key role in ensuring community health. Among the hospital departments, the surgery room accounts for a significant portion of the cost and revenue of the hospital. Surgery timing is important to increase the efficiency of operating rooms. The purpose of this study was to optimize surgical hall scheduling based on discrete event simulation model.
Materials & Methods: This cross-sectional study was performed in the summer of 2018 in the operation room of one of the hospitals in Tehran. As people entered the operation room, their information about the cause and condition that caused the surgery, the type of surgery (elective or emergency) the time of being in the operation was recorded by details. Data analysis was performed SPSS software and simulation of therapeutic system was performed Arena software.
Results: By analyzing the input data of 625 patients during three months, more than 60% of patients were men and less than 40% were women. The first entry into the surgery room for the selected patients was at 7:10 am and the last was at 5:00 pm. Of the eight scenarios presented, two arrival rate correction scenarios (noon arrival distribution) and a combined scenario (noon queue correction and patient adding) resulted in the greatest reduction in waiting time.
Conclusion: The results of this study showed that changing the distribution of patients 'arrival to hours with less input time can decrease patients' waiting time and increase the efficiency of surgery room.
Materials & Methods: This cross-sectional study was performed in the summer of 2018 in the operation room of one of the hospitals in Tehran. As people entered the operation room, their information about the cause and condition that caused the surgery, the type of surgery (elective or emergency) the time of being in the operation was recorded by details. Data analysis was performed SPSS software and simulation of therapeutic system was performed Arena software.
Results: By analyzing the input data of 625 patients during three months, more than 60% of patients were men and less than 40% were women. The first entry into the surgery room for the selected patients was at 7:10 am and the last was at 5:00 pm. Of the eight scenarios presented, two arrival rate correction scenarios (noon arrival distribution) and a combined scenario (noon queue correction and patient adding) resulted in the greatest reduction in waiting time.
Conclusion: The results of this study showed that changing the distribution of patients 'arrival to hours with less input time can decrease patients' waiting time and increase the efficiency of surgery room.
Type of Study: Original Article |
Subject:
مدیریت تسهیلات (فیزیکی ، تاسیساتی و تجهیزاتی ) در بیمارستان
Received: 2020/04/6 | Accepted: 2020/06/16 | Published: 2020/07/25
Received: 2020/04/6 | Accepted: 2020/06/16 | Published: 2020/07/25
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