De Brouwer Walter, Patel Chirag J, Manrai Arjun K, Rodriguez-Chavez Isaac R, Shah Nirav R
Sharecare, Palo Alto, CA, USA.
Clinical Excellence Research Center, Department of Medicine, Stanford University, Palo Alto, CA, USA.
NPJ Digit Med. 2021 Jul 1;4(1):102. doi: 10.1038/s41746-021-00473-w.
The COVID-19 pandemic has been a catalyst for the implementation of decentralized clinical trials (DCTs) enabled by digital health technologies (DHTs) in the field while curtailing in-person interactions and putting significant demands on health care resources. DHTs offer improvements in real-time data acquisition remotely while maintaining privacy and security. Here, we describe the implications of technologies, including edge computing, zero-trust environments, and federated computing in DCTs enabled by DHTs. Taken together, these technologies—in the setting of policy and regulation that enable their use while protecting the users—extend the scope and accelerate the pace of clinical research.
新冠疫情推动了数字健康技术(DHT)在该领域实现去中心化临床试验(DCT),同时减少了面对面互动,并对医疗资源提出了巨大需求。DHT在远程实时数据采集方面有所改进,同时能维护隐私和安全。在此,我们描述了包括边缘计算、零信任环境和联邦计算在内的技术在由DHT支持的DCT中的影响。总体而言,这些技术在政策和法规的框架下得以使用,既能保护用户,又能扩大临床研究的范围并加快其速度。