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Improving the Mean Waiting Time of Patients by by Simulation in a Health Service Provision Clinic

机译:通过模拟在卫生服务提供诊所中改善患者的平均等待时间

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In this paper, a reception model is proposed to improve waiting time of patients considering utilization of doctors and nurses in a neurology clinic by discrete-event simulation (DES). A neurology clinic including 8 doctors with different specialties is investigated. First, an interview and observation was done and then, required data relating patients' traffic were recorded and used for simulation. To analyze case study, first, bottlenecks were identified. It was observed that mean waiting time (MWT) of patients in total reception was high. For improving MWF, some scenarios were defined. Among all scenarios, increasing the number of nurses in the reception unit was the most effective one. The results of DES shows that by increasing the number of nurses to 4 individuals, the MWT can be decreased 8.345 minutes per day for each patient. Also, the utilization of doctors can be increased considerably. For validation, the results of the simulation were compared with real data by statistical analysis. These analysis approved the DES results.
机译:在本文中,提出了一种接收模型,通过离散事件模拟(DES)来考虑神经科诊所的医生和护士的使用情况,从而改善患者的等待时间。对神经科诊所进行了调查,其中包括8名不同专业的医生。首先,进行访谈和观察,然后记录与患者交通有关的所需数据,并将其用于模拟。为了分析案例研究,首先,确定瓶颈。观察到患者在总接收中的平均等待时间(MWT)很高。为了改善MWF,定义了一些方案。在所有方案中,增加接待处护士的人数是最有效的一种方案。 DES的结果表明,通过将护士人数增加到4个人,每位患者每天的MWT可以减少8.345分钟。而且,可以大大提高医生的利用率。为了进行验证,通过统计分析将模拟结果与真实数据进行比较。这些分析证实了DES结果。

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