The installed productive capacity of a healthcare center’s equipment limits the efficient use of its resources. This paper, therefore, analyzes the installed productive capacity of a hospital angiography room and how to optimize patient demand. For this purpose, a Discrete Event Simulation (DES) model based on historical variables from the current system was created using computer software. The authors analyzed 2044 procedures performed between 2014 and 2015 in a hospital in San José, Costa Rica. The model was statistically validated to determine that it does not significantly differ from the current system, considering the DMAIC stages for continuous process improvement. In the current scenario, resource utilization is 0.99, and the waiting list increases every month. The results showed that the current capacity of the service could be doubled, and that resource utilization could be reduced to 0.64 and waiting times by 94%. An increase in service efficiency could be achieved by shortening maximum waiting times from 6.75 days to 3.70 h. DES simulation, therefore, allows optimizing of the use of healthcare systems’ resources and hospital management.

中文翻译：

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通过离散事件模拟分析医学血管造影室的生产能力

医疗中心设备的已安装生产能力限制了其资源的有效利用。因此，本文分析了医院血管造影室的安装生产能力以及如何优化患者需求。为此，使用计算机软件创建了基于来自当前系统的历史变量的离散事件模拟（DES）模型。作者分析了2014年至2015年在哥斯达黎加圣何塞的一家医院进行的2044例手术。考虑到可进行连续过程改进的DMAIC阶段，对该模型进行了统计验证，以确定它与当前系统没有显着差异。在当前情况下，资源利用率为0.99，等待列表每月增加。结果表明，该服务的当前容量可以增加一倍，资源利用率可以降低到0.64，等待时间降低94％。通过将最长等待时间从6.75天缩短到3.70小时，可以提高服务效率。因此，DES模拟可以优化医疗系统资源的使用和医院管理。