Journal of

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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%.

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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.