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，开发医疗流程数字孪生以更好地理解瓶颈和改进领域的研究兴趣激增。其中一项关键挑战在于验证过程。我们描述了一项正在进行的工作，该工作利用基于智能体的仿真模型构建数字孪生，用于确定医院患者的床位周转时间。我们采用一种基于机器学习的策略来验证模型，并实施敏感性分析。