Showing 5 results for Waiting Time
Hosein Ebrahimipour, Ali Vajaee, Gholam-Abas Nouri, Habib-Allah Esmaeili, Sara Jamili,
Volume 14, Issue 1 (6-2015)
Abstract
Background: Process of discharging patients affects patient’s satisfaction .This is one of the serious challenges that hospital managers face. This study is aimed to determine the average waiting time of patient discharge process and identify influential factors of this process in Imam Reza Hospital in Mashhad in the year of 2014.
Materials & Methods: This is a cross-sectional survey in which waiting time of patients who had discharged from clinical wards of the Imam Reza hospital in Mashhad had been studied. 455 of patients had been selected as samples. The amount of time spent during discharge in six different departments such as inside each ward, from each ward to the medical records unit, inside the medical records unit, from medical records unit to accounting department , during cost calculation and also from cost accounting to cost payment unit) had been determined by using stop-watch method. The data had been analyzed by descriptive and analytical statistics in significant level of 0.05 using SPSS16.
Results: Results showed that waiting time was 504.26± 362.96 Minutes. Patients spent most and least proportion of their waiting time in ENT and Burns wards during discharge.
Conclusion: As noticeable number of minutes spent inside wards and cost payment unit by patients, calls for corrective interventions such as changing visit time and predicting schedules for sending medical record to accounting department could reduce waiting time.
Zahra Jalilibal, Mahyar Kianpour, Fariborz Jolai,
Volume 14, Issue 4 (1-2016)
Abstract
Background: Health care systems especially hospitals often encounter several risks which has weaken efficiency and hospitals performance entirely. Resilience engineering (RE) enables to remain high risk systems stable faced to sudden changes or minimizes negative effects of changes.
Materials and Methods: This study considered a new hybrid framework concept regarding the non-value added waiting time and resilience engineering indices as efficiency indices to evaluate private and public hospitals performance. With the intention of evaluating the hospitals performance, a hybrid framework including simulation and MADM methods utilized. Output-oriented Data Envelopment Analysis (DEA) approach used as MADM method.
Results: The results revealed that RE factors play a significant role in hospitals performance's promotion; also the private hospitals had better performance compared to the public ones.
Conclusions: Study results indicated that teamwork efficiency index compare to other efficiency indices had more effect on hospitals performance. Health system managers should be considered improved performance and efficiency policies and focus more on other RE indices parallel team work index.
Mahdieh Tavakoli, Mohssen Ghanavatinejad, Fatemeh Jalalifar, Dr Elham Yavari,
Volume 17, Issue 4 (2-2019)
Abstract
Background: The admission unit is the main entrance of the hospital and the first patient communication with the hospital is through this unit. The waiting time of patients, which is one of the main consequent of this unit, is not only one of the important factors affecting the satisfaction of the patients, but also is one of indicators of the quality of service of the hospital. This study aimed to provide scenarios at reducing patients’ waiting times.
Materials and Methods: This research in terms of methods and goals was a descriptive and an applied one, respectively. This study performed on 110 patients who had been admitted to the Mohb-e-Mehr hospital during 70 days and were uniformly trained on all days of the week. Information was also obtained using observation and data recording in prepared forms. The simulation model was designed and implemented with the Arena 14 software.
Results: Based on research findings, the para-clinical unit and the waiting room for hospitalization were two main bottlenecks in the studied system. In order to solve the problem, for each of the above units, a scenario designed and simulated. The implementation of these tests revealed that the proposed scenarios in comparison with the existing conditions had better results in reducing the waiting time and also increasing the number of admitted patients.
Conclusion: Improvement of the therapeutic processes will occur through the recognition of the hospital services system and analysis of the bottlenecks and its weakness points. According to the results, an increase in the number of para-clinical unit staff and hospital beds improves the hospital admission function. The implementation of mentioned scenarios reduces waiting time for patients by about 78% and reduces the waiting time for emptying the bed by about 50%.
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.
Hasan Fatahi, Seyyed Mohammad Waziri, Mahyar Souri, Mohammad Hossein Askarian,
Volume 22, Issue 2 (9-2023)
Abstract
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.
