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. 2022 May 26;24(5):e35951.
doi: 10.2196/35951.

Measuring Health-Related Quality of Life With Multimodal Data: Viewpoint

Ieuan Clay  1 , Francesca Cormack  2 , Szymon Fedor  3 , Luca Foschini  4 , Giovanni Gentile  5 , Chris van Hoof  6 , Priya Kumar  7 , Florian Lipsmeier  8 , Akane Sano  9 , Benjamin Smarr  10 , Benjamin Vandendriessche  11 , Valeria De Luca  12
Affiliations

Measuring Health-Related Quality of Life With Multimodal Data: Viewpoint

Ieuan Clay et al. J Med Internet Res. .

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.

Keywords: care delivery; data integration; digital health; digital measures; digital product; digital therapeutics; digital therapy; digital wellness; drug development; machine learning; multimodal technology; quality of life.

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Conflict of interest statement

Conflicts of Interest: IC is an employee of the Digital Medicine Society. VDL is an employee of Novartis Pharma AG. BV is an employee of Byteflies. BS is a scientific advisor to and has an economic interest in OuraRing Inc. GG is an employee of the Department of Neuroscience, University of Padua Italy; he reports funding from the EU Horizon 2020–PD_Pal Grant 825785, and he owns stock in Sensedat srl. LF is cofounder of Evidation Health Inc. FL is an employee of F. Hoffmann-La Roche Ltd. AS has received travel reimbursement or honorarium payments from Gordon Research Conferences, Pola Chemical Industries, Leuven Mindgate, American Epilepsy Society, and IEEE. AS has also received research support from Microsoft, Sony Corporation, NEC Corporation, and Pola Chemicals and consulting fees from Gideon Health and Suntory Global Innovation Center. AS was paid by the European Science Foundation for a grant review.

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