Using the Non-Adoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) Framework to Identify Barriers and Facilitators for the Implementation of Digital Twins in Cardiovascular Medicine.
Using the Non-Adoption, Abandonment, Scale-Up, Spread, and Sustainability (NASSS) Framework to Identify Barriers and Facilitators for the Implementation of Digital Twins in Cardiovascular Medicine.
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DOI：
10.3390/s23146333
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发表时间：
2023-07-12
期刊：
影响因子：
--
通讯作者：
Chico TJA
中科院分区：
文献类型：
--
作者：
Winter PD;Chico TJA
数字双胞胎是复杂系统的基于计算机的“虚拟”表示，使用来自“真实”双胞胎的数据进行更新。数字孪生兄弟在产品制造、航空和基础设施领域建立起来，并在医学界引起了极大的关注。在医学领域，数字双胞胎通过一系列实时收集患者数据的物联网(IoT)设备，有望改善心血管疾病的预防，并实现个性化医疗保健。然而，这种新技术的前景往往会遇到许多需要克服的技术、科学、社会和伦理挑战--如果这些挑战得不到满足，利益相关者总体上就不太可能采用这种技术。这项工作的目的是确定心血管医学数字双胞胎实施的促进者和障碍。利用非收养、放弃、扩大、传播和可持续发展(NASSS)框架，我们对心血管医学中数字双胞胎的政策报告、行业网站、在线杂志和学术出版物进行了文件分析，确定了潜在的促进者和采用的障碍。我们的结果显示了实施的关键促进因素：预防心血管疾病，在计算机模拟和实验中，以及个性化护理。实施的主要障碍包括：建立实时数据交换、所需的公认专家技能、对患者数据的高需求以及与隐私和监控相关的道德风险。此外，不同研究小组对数字双胞胎的属性、采纳者的特征和行为以及这些技术规划和开发过程中的社会、法规、经济和政治背景的性质和程度缺乏实证研究，这被认为是今后实施的一个主要阻碍因素。
A digital twin is a computer-based “virtual” representation of a complex system, updated using data from the “real” twin. Digital twins are established in product manufacturing, aviation, and infrastructure and are attracting significant attention in medicine. In medicine, digital twins hold great promise to improve prevention of cardiovascular diseases and enable personalised health care through a range of Internet of Things (IoT) devices which collect patient data in real-time. However, the promise of such new technology is often met with many technical, scientific, social, and ethical challenges that need to be overcome—if these challenges are not met, the technology is therefore less likely on balance to be adopted by stakeholders. The purpose of this work is to identify the facilitators and barriers to the implementation of digital twins in cardiovascular medicine. Using, the Non-adoption, Abandonment, Scale-up, Spread, and Sustainability (NASSS) framework, we conducted a document analysis of policy reports, industry websites, online magazines, and academic publications on digital twins in cardiovascular medicine, identifying potential facilitators and barriers to adoption. Our results show key facilitating factors for implementation: preventing cardiovascular disease, in silico simulation and experimentation, and personalised care. Key barriers to implementation included: establishing real-time data exchange, perceived specialist skills required, high demand for patient data, and ethical risks related to privacy and surveillance. Furthermore, the lack of empirical research on the attributes of digital twins by different research groups, the characteristics and behaviour of adopters, and the nature and extent of social, regulatory, economic, and political contexts in the planning and development process of these technologies is perceived as a major hindering factor to future implementation.
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影响因子：
--
作者：
Kamel Boulos MN;Zhang P
通讯作者：
Zhang P
DOI：
10.1002/agm2.12115
发表时间：
2020-09
期刊：
Aging medicine (Milton (N.S.W))
影响因子：
--
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3.9
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DOI：
10.1007/s12008-020-00694-5
发表时间：
2020-09-10
影响因子：
2.1
作者：
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Celi, Simona
影响因子：
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