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Measuring Health-Related Quality of Life with Multimodal data: Viewpoint
Ieuan Clay;
Francesca Cormack;
Szymon Fedor;
Luca Foschini;
Giovanni Gentile;
Chris van Hoof;
Priya Kumar;
Florian Lipsmeier;
Akane Sano;
Benjamin L. Smarr;
Benjamin Vandendriessche;
Valeria De Luca
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 multistakeholder workshop to examine progress of multimodal digital measures in two key areas: detection of disease and the measurement of meaningful aspects of health relevant to 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.
Citation
Please cite as:
Clay I, Cormack F, Fedor S, Foschini L, Gentile G, van Hoof C, Kumar P, Lipsmeier F, Sano A, Smarr BL, Vandendriessche B, De Luca V
Measuring Health-Related Quality of Life With Multimodal Data: Viewpoint