Dr Farzad Firouzi Jahantigh, Mojtaba Ghaderi,
Volume 17, Issue 2 (9-2018)
Abstract
Background: Among various emergency services, the air emergency due to access to the extreme areas, possibility to move more patients, providing higher quality treatment to the patient being carried and also access to the hospital without problems such as traffic and sudden crashes, is one of the most important types of emergencies in the health sector. So, the right location according to the scientific principles, enhances the efficiency of the aerial emergency.
Materials and Methods: This descriptive- analytical present study was conducted as an applied research in Sistan and Baluchestan province in 2016. At first, indicators affecting the location of ambulances were identified. Then, the location using deploying a Fuzzy network analysis process model next to the Fuzzy Dematel technique and the integration with geographic information system was performed.
Results: Criteria for selecting the best places for deploying air ambulances in Sistan and Baluchestan province are considered as proximity to the roads, appropriate tilt area, proximity to crowded areas, proximity to high risk passages, and the convenient distance from the medical emergencies. Output weights of the technique used for affecting on GIS software were calculated 0.244, 0.083, 0.435, 0.182 and 0.057, respectively.
Conclusion: Study results revealed that number and coverage of aerial ambulances in cities and roads of Sistan and Baluchestan province are not suitable. Therefore, the map derived from the Fuzzy integration of the information layers identified by the effective factors, illustrated that the districts of Zabol and Iranshahr cities have the best status of selected criteria to establish the air emergencies bases in the province of Sistan and Baluchestan.
Nader Markazi Moghadam, Sanaz Zargar, Zaniar Ghaderi, Ehsan Tofighi,
Volume 19, Issue 1 (4-2020)
Abstract
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.
