Lean healthcare integrated with discrete event simulation and design of experiments: an emergency department expansion

G. Gabriel, Afonso Teberga Campos, Aline de Lima Magacho, Lucas Cavallieri Segismondi, F. F. Vilela, José Antonio de Queiroz, J. A. B. Montevechi
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Abstract

Background. Discrete Event Simulation (DES) and Lean Healthcare are management tools that are efficient and assist in the quality and efficiency of health services. In this sense, the purpose of the study is to use lean principles jointly with DES to plan the expansion of a Canadian emergency department and to the demand that comes from small closed care centers. Methods. For this, we used simulation and modeling method. We simulated the emergency department in FlexSim Healthcare® software and, with the Design of Experiments (DoE), we defined the optimal number of locations and resources for each shift. Results. The results show that the ED cannot meet expected demand in the current state. Only 17.2% of the patients were completed treated, and the Length of Stay (LOS), on average, was 2213.7, with a confidence interval of (2131.8 - 2295.6) minutes. However, after changing decision variables, the number of treated patients increased to 95.7% (approximately 600%). Average LOS decreased to 461.2, with a confidence interval of (453.7 - 468.7) minutes, about 79.0%. In addition, the study shows that emergency department staff are balanced, according to Lean principles.
与离散事件模拟和实验设计相结合的精益医疗保健:急诊部门的扩展
背景。离散事件模拟(DES)和精益医疗保健是高效的管理工具,有助于提高医疗服务的质量和效率。从这个意义上说,本研究的目的是利用精益原则与DES共同规划加拿大急诊科的扩张,并满足来自小型封闭护理中心的需求。方法。为此,我们采用了仿真建模的方法。我们在FlexSim Healthcare®软件中模拟了急诊科,并通过实验设计(DoE)定义了每个班次的最佳位置和资源数量。结果。结果表明,在当前状态下,电力系统不能满足预期需求。仅17.2%的患者完成治疗,平均住院时间(LOS)为2213.7分钟,置信区间为(2131.8 ~ 2295.6)分钟。然而,在改变决策变量后,治疗患者的数量增加到95.7%(约600%)。平均LOS降至461.2,置信区间为(453.7 ~ 468.7)min,约为79.0%。此外,研究表明,根据精益原则,急诊科人员是平衡的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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