2021/07/01 by Walter De Brouwer, Chirag J. Patel, Arjun K. Manrai +2 · 1 citation
Computer Science · Health Professions · Medicine · #Artificial Intelligence in Healthcare and Education #Mobile Health and mHealth Applications #Privacy-Preserving Technologies in Data
paper · pdf · doi:10.1038/s41746-021-00473-w
openalex publication_date 2021/07/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/23
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.