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在这篇博文中，我们将探讨数字孪生如何改变医疗系统。我们将分享 AnyLogic 2023 会议的亮点，展示仿真如何改善临床工作流程和患者护理。通过专家了解数字孪生在医疗领域的未来，看看如何在实践中应用这些理念。

了解DaVita如何将医疗优化融入透析护理。通过利用仿真建模，诊所网络正在加强工作流程和透析患者护理技术人员之间的协作，从而实现卓越的患者治疗效果。请查看运营设计团队在迈出仿真建模第一步后的感悟。

风险管理是识别、评估和控制企业风险的过程。这些风险的来源可能各种各样，如果不可预见的事件使您的业务存在盲点，可能会造成经济损失。仿真是一种帮助识别潜在风险的工具，并找到使您的业务具有弹性的方法。

生产调度是通过在短期内详细规划生产操作，最大限度地提高生产效率的过程。它旨在防止缺货、发现瓶颈、使生产与需求相匹配，以及平衡工作站之间的投入和产出。

医疗仿真可以显示医疗机构的能力和资源利用率，帮助识别其中的挑战，并根据结果分析得出正确的解决方案。在新冠肺炎期间，仿真建模经常用于评估疾病传播和大规模疫苗接种。阅读本文，了解如何通过仿真完成医疗保健相关任务。

描述：通过普华永道分享的三个案例，让我们深入了解如何扩展仿真实现大规模运行和亚秒级响应，后附会议视频。

此篇演讲是在 2021 年 AnyLogic 年度会议上发表的，随后是问答环节。

Timothy E. Hoffman, Katherine J. Barnett, Lyle Wallis and William H. Hanneman of the Center for Environmental Medicine, Colorado State University are to be published in the October 2017 issue of the peer-reviewed Aging Cell journal of the Anatomical Society.

The aim of their investigation was to assess recent significant and unusual research observations regarding aging.

In cancer patients, an inability to access the surgical system can be lethal, but accessing it can be impoverishing, especially in low- and middle-income countries (LMICs).  A group from the Global Surgery and Social Change, Department of Global Health and Social Medicine, Harvard Medical, supported by National Cancer Institute used AnyLogic Software to evaluate the health, financial, and equity impacts of governmental and charitable policies for surgical oncology in a resource-limited setting.

Indiana University Health Arnett (IUHA) is an integrated healthcare system which consists of a full service acute care hospital and a multispecialty clinic with approximately 200 providers at numerous locations. In the past, provider schedules were driven by individual preference which led to increased variation in scheduling rules that failed to meet employer or patient expectations. To better serve patients and maintain provider approval, IUHA sought to develop a scheduling methodology that provides same day access for a designated patient population while allowing acceptable access to the remaining patient population.

Traditional Marketing Mix models attempt to explore the tradeoffs amongst different marketing channels and the spends associated with them. The weaknesses of these models are, generally, their static nature and the restrictive assumptions required to apply their results. For these reasons, an American pharmaceutical company, one of the largest in the world, engaged with Sterling Simulation to explore the benefits of agent-based modeling, prior to launching a new product. The use-case was presented by Scott Hebert, Vice President of Sterling Simulation at the AnyLogic Conference 2015.