论文标题
使用离散事件模拟的医院容量计划在COVID-19的特别考虑下大流行
Hospital Capacity Planning Using Discrete Event Simulation Under Special Consideration of the COVID-19 Pandemic
论文作者
论文摘要
我们为医院提供了一种用于医院的资源规划工具,该工具在Covid-19-19的大流行期间,称为Babsim.hospital。它为危机团队提供了许多优势,例如与他们自己的本地计划,当地活动的模拟,对几种情况(最坏 /最佳情况)进行模拟。对医疗专业人员有好处,例如对地方,地区,州和联邦一级的大流行分析,特殊风险群体的考虑,验证停留时间的工具以及过渡概率。最后,管理管理有潜在的优势,例如,考虑到当地活动的各个医院的状况,考虑相关资源,例如床,呼吸机,房间,防护服和人员计划,例如医疗和护理人员。 Babsim.Hospital以非常有效的方式结合了模拟,优化,统计和人工智能过程。核心是一个基于事件的仿真模型。
We present a resource-planning tool for hospitals under special consideration of the COVID-19 pandemic, called babsim.hospital. It provides many advantages for crisis teams, e.g., comparison with their own local planning, simulation of local events, simulation of several scenarios (worst / best case). There are benefits for medical professionals, e.g, analysis of the pandemic at local, regional, state and federal level, the consideration of special risk groups, tools for validating the length of stays and transition probabilities. Finally, there are potential advantages for administration, management, e.g., assessment of the situation of individual hospitals taking local events into account, consideration of relevant resources such as beds, ventilators, rooms, protective clothing, and personnel planning, e.g., medical and nursing staff. babsim.hospital combines simulation, optimization, statistics, and artificial intelligence processes in a very efficient way. The core is a discrete, event-based simulation model.