Year: 2022
Type: article
Abstract: The ability to objectively measure aspects of performance and behavior is a fundamental pillar of digital health, enabling digital wellness products, decentralized trial concepts, evidence generation, digital therapeutics, and more. Emerging multimodal technologies capable of measuring several modalities simultaneously and efforts to integrate inputs across several sources are further expanding the limits of what digital measures can assess. Experts from the field of digital health were convened as part of a multi-stakeholder workshop to examine the progress of multimodal digital measures in two key areas: detection of disease and the measurement of meaningful aspects of health relevant to the quality of life. Here we present a meeting report, summarizing key discussion points, relevant literature, and finally a vision for the immediate future, including how multimodal measures can provide value to stakeholders across drug development and care delivery, as well as three key areas where headway will need to be made if we are to continue to build on the encouraging progress so far: collaboration and data sharing, removal of barriers to data integration, and alignment around robust modular evaluation of new measurement capabilities.
DOI: 10.2196/35951
Institutions: Cambridge Cognition (United Kingdom), MIT Media Lab, Massachusetts Institute of Technology, Evidation Health (United States), University of Padua, IMEC, Rune Labs (United States), F. Hoffmann-La Roche AG, Rice University, University of California San Diego, Novartis Institutes for BioMedical Research
Language: English
Subfield: Economics and Econometrics
Domain: Social Sciences
Open Access status: gold
Estimated APC paid: $2,950
Funder: National Institute on Aging
OpenAlex ID: W4281715772