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Joint Effect of Appointment Scheduling Rules and Resource Selection on Outpatient Clinics Performance

机译:预约时间表和资源选择对门诊诊所绩效的共同影响

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In outpatient clinics, appointment systems usually consider the rules that focus on patient arrivals such as single block or multi-block. In an individual block, a patient arrives at the beginning of the session, while in multi-block, more than one patient arrives at each scheduled appointment interval. However, these scheduling rules don't take into account the utilization of resources (i.e., doctor's service) that is another factor for appointment systems. In this study, we investigate two important factors imposed to the appointment system of outpatient clinics simultaneously using a simulation technique. Appointment scheduling rule (ASR) focuses patient arrival in clinics and selection rule (SR) focuses on patient assignment to multiple severs (doctors). The built simulation model takes into account a multi-facility system in which two consultation rooms are considered. The first consultation room is affected by the two factors of SR and ASR. Subsequently, the second consultation room is only affected by the factor of ASR since patients need to return to the same doctor in the first consultation room. To evaluate the performance of the simulated appointment system, we employ two standard measures such as patient waiting time and doctor idle time. The objective is to achieve that both the waiting time and the doctor idle time in an outpatient clinic system are minimized. The experimental results show better efficiency by considering both the ASR and SR simultaneously, compared to the conventional approach only considering the ASR.
机译:在门诊诊所中,预约系统通常会考虑针对单位或多位患者到达的规则。在单个模块中,患者到达会话开始时,而在多个模块中,一个以上的患者在每个预定的约会间隔到达。但是,这些调度规则没有考虑资源的利用(即医生的服务),这是约会系统的另一个因素。在这项研究中,我们调查了使用模拟技术同时施加于门诊预约系统的两个重要因素。预约计划规则(ASR)着重于患者到达诊所,选择规则(SR)着重于将患者分配给多个服务器(医生)。所构建的仿真模型考虑了其中考虑两个咨询室的多设施系统。第一个咨询室受SR和ASR两个因素的影响。随后,第二个诊疗室仅受ASR因素的影响,因为患者需要在第一个诊疗室中返回同一位医生。为了评估模拟预约系统的性能,我们采用了两种标准措施,例如患者等待时间和医生空闲时间。目的是使门诊系统中的等待时间和医生空闲时间都最小化。与仅考虑ASR的传统方法相比,通过同时考虑ASR和SR的实验结果显示出更高的效率。

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