Recently there has been a surge of interest in developing Digital Twins of process flows in healthcare to better understand bottlenecks and areas of improvement. A key challenge is in the validation process. We describe a work in progress for a digital twin using an agent based simulation model for determining bed turnaround time for patients in hospitals. We employ a strategy using machine learning for validating the model and implementing sensitivity analysis.

翻译：近年来，医疗流程数字孪生的开发备受关注，旨在深入理解流程瓶颈与改进空间。其中一项核心挑战在于验证过程。本文阐述了一项基于智能体仿真模型的数字孪生研究进展，该模型用于确定医院患者床位周转时间。我们采用机器学习策略对模型进行验证，并实施敏感性分析。