Clinical Validation of Digital Health Technologies for Personalized Medicine

Digital health technologies have emerged to include a broad spectrum of important platforms that will impact multiple aspects of clinical medicine ranging from diagnostics and intervention to behavioural economics and healthcare policy and beyond. In the area of diagnostics, wearable platforms have seen increased clinical validation activity for indications that include cardiovascular health, cognitive health, fitness monitoring, and maternal/fetal health applications, etc. Interventional use of digital health has included the use of AI and machine learning to improve the drug discovery and development processes, as well as personalize digital therapeutics without the use of drugs. Following the development of novel digital health technologies, there remains a critically important roadmap to bridge these platforms with clinical trial innovation, ways to sustain user and healthcare provider engagement, and roadmaps to bridge deployment with reimbursement with the overall goal of achieving effective, economical, and scalable personalized medicine to transform healthcare delivery.
To highlight these important catalysts for digital health scalability and provide concrete examples of innovation in this space, this article collection will feature breakthroughs that pertain to the clinical validation of digital health technologies.
Manuscripts that detail the clinically-oriented development of novel digital health technologies, papers that detail trial outcomes, papers pertaining to behavioral sciences and healthcare economics as they relate to digital health, personalized medicine and policy papers are welcome.