尽管大多数数字孪生(DT)应用已经出现在精准医学中,DTs可以潜在地支持整个医疗保健过程。DTs(孪生系统,进程,和产品)可用于优化流量,提高性能,改善健康结果,改善患者的体验,医生,和其他风险最小的利益相关者。
本文旨在回顾数字孪生系统的应用,产品,和流程,并分析这些应用对改善医疗保健管理的潜力以及与这一新兴技术相关的挑战。
我们对文献进行了快速回顾,并报告了有关DT及其在医疗保健管理中的应用的现有研究。我们在5个数据库中搜索了2002年1月至2022年1月之间发表的研究,其中包括以英语撰写的同行评审研究。我们排除了报告DT使用情况以支持医疗保健实践的研究(器官移植,精准医学,etc).从人为因素和系统工程的角度分析了它们对DT技术改善医疗保健用户体验的贡献,考虑影响类型(产品,process,或性能/系统级别)。还总结了与采用直接扩散项有关的挑战。随着时间的推移,旨在管理医疗保健系统的DT相关研究从2002年的0项增加到2022年的17项,2021年发表了7项(N=17项研究)。调查结果报告了按DT类型分类的应用程序(系统:n=8;过程:n=5;产品:n=4)及其贡献或功能。我们确定了DTs在医疗保健管理中的4个主要功能,包括安全管理(n=3),信息管理(n=2),健康管理和福祉促进(n=3),和操作控制(n=9)。在医疗保健系统管理中使用的DT有可能避免在提供医疗保健过程中对人们造成意外或意外的伤害。它们还可以帮助识别与危机相关的系统威胁并控制影响。此外,DTs确保隐私,安全,以及所有利益相关者的实时信息访问。此外,它们有利于通过启用健康管理实践来增强自我护理能力,并通过确保医疗保健设施平稳运行并为每位患者提供高质量的护理来提供高系统效率水平。
将DT用于医疗保健系统管理是一个新兴的话题。这可以在支持该技术的有限文献中看到。然而,DT越来越多地用于在有组织的系统中确保患者安全和福祉。因此,进一步的研究旨在解决卫生保健系统的挑战挑战和提高其性能应该调查数字孪生技术的潜力。此外,此类技术应嵌入人为因素和人体工程学原理,以确保更好的设计和对患者和医生体验的更成功影响。
Although most digital twin (DT) applications for health care have emerged in precision medicine, DTs can potentially support the overall health care process. DTs (twinned systems, processes, and products) can be used to optimize flows, improve performance, improve health outcomes, and improve the experiences of patients, doctors, and other stakeholders with minimal risk.
This paper aims to
review applications of DT systems, products, and processes as well as analyze the potential of these applications for improving health care management and the challenges associated with this emerging technology.
We performed a rapid
review of the literature and reported available studies on DTs and their applications in health care management. We searched 5 databases for studies published between January 2002 and January 2022 and included peer-reviewed studies written in English. We excluded studies reporting DT usage to support health care practice (organ transplant, precision medicine, etc). Studies were analyzed based on their contribution toward DT technology to improve user experience in health care from human factors and systems engineering perspectives, accounting for the type of impact (product, process, or performance/system level). Challenges related to the adoption of DTs were also summarized.
The DT-related studies aimed at managing health care systems have been growing over time from 0 studies in 2002 to 17 in 2022, with 7 published in 2021 (N=17 studies). The findings reported on applications categorized by DT type (system: n=8; process: n=5; product: n=4) and their contributions or functions. We identified 4 main functions of DTs in health care management including safety management (n=3), information management (n=2), health management and well-being promotion (n=3), and operational control (n=9). DTs used in health care systems management have the potential to avoid unintended or unexpected harm to people during the provision of health care processes. They also can help identify crisis-related threats to a system and control the impacts. In addition, DTs ensure privacy, security, and real-time information access to all stakeholders. Furthermore, they are beneficial in empowering self-care abilities by enabling health management practices and providing high system efficiency levels by ensuring that health care facilities run smoothly and offer high-quality care to every patient.
The use of DTs for health care systems management is an emerging topic. This can be seen in the limited literature supporting this technology. However, DTs are increasingly being used to ensure patient safety and well-being in an organized system. Thus, further studies aiming to address the challenges of health care systems challenges and improve their performance should investigate the potential of DT technology. In addition, such technologies should embed human factors and ergonomics principles to ensure better design and more successful impact on patient and doctor experiences.