Department of Industrial Engineering, Mahidol University, Nakornpathom, Thailand.
J Healthc Eng. 2013;4(2):285-305. doi: 10.1260/2040-2295.4.2.285.
The orthopedic outpatient department (OPD) ward in a large Thai public hospital is modeled using Discrete-Event Stochastic (DES) simulation. Key Performance Indicators (KPIs) are used to measure effects across various clinical operations during different shifts throughout the day. By considering various KPIs such as wait times to see doctors, percentage of patients who can see a doctor within a target time frame, and the time that the last patient completes their doctor consultation, bottlenecks are identified and resource-critical clinics can be prioritized. The simulation model quantifies the chronic, high patient congestion that is prevalent amongst Thai public hospitals with very high patient-to-doctor ratios. Our model can be applied across five different OPD wards by modifying the model parameters. Throughout this work, we show how DES models can be used as decision-support tools for hospital management.
泰国一家大型公立医院的骨科门诊（OPD）病房采用离散事件随机（DES）模拟建模。使用关键绩效指标（KPI）来衡量一天中不同班次的各种临床操作的效果。通过考虑各种 KPI，例如等待看医生的时间、在目标时间内可以看医生的患者百分比以及最后一位患者完成医生咨询的时间，可以确定瓶颈并对资源关键的诊所进行优先级排序。该模拟模型量化了泰国公立医院普遍存在的慢性、高患者拥堵问题，这些医院的患者与医生的比例非常高。我们的模型可以通过修改模型参数应用于五个不同的 OPD 病房。在整个工作过程中，我们展示了如何将 DES 模型用作医院管理的决策支持工具。
