Healthcare facilities are complex systems where operational efficiency depends on space, processes, resources, and logistics. While many studies propose process-simulation-based improvements, few dynamically consider the built space’s effect on process efficiency. The critical challenge here is the effective integration of data from these disparate domains. This article addresses this challenge by proposing an open Building Information Modelling (BIM) to Discrete Event Simulation (DES) data integration framework towards the development of a space-aware process Digital Twin (DT), with the goal of determining and controlling the impact of spatial layout and built asset performance on core-process throughput. A case study of a multi-storey Histopathology laboratory demonstrates how the impact of changes in travel time between process stages, due to a faulty lift and functional re-configurations, on laboratory turnaround time can be managed integrating up-to-date building information in modelling core business processes. This is achieved through the space-aware process DT architecture.

中文翻译：

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空间感知型医院运营数字孪生的数据集成

医疗保健设施是复杂的系统，其中运营效率取决于空间、流程、资源和物流。虽然许多研究提出了基于流程仿真的改进，但很少有研究动态考虑建筑空间对流程效率的影响。这里的关键挑战是有效集成来自这些不同领域的数据。本文通过提出一个开放式建筑信息模型 （BIM） 到离散事件模拟 （DES） 数据集成框架来应对这一挑战，以开发空间感知过程数字孪生 （DT），目的是确定和控制空间布局和建筑资产性能对核心过程吞吐量的影响。一个多层组织病理学实验室的案例研究表明，由于电梯故障和功能重新配置，如何管理由于电梯故障和功能重新配置而导致的流程阶段之间旅行时间变化对实验室周转时间的影响，将最新的建筑信息整合到核心业务流程的建模中。这是通过空间感知工艺 DT 架构实现的。