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 Smarr, Benjamin Vandendriessche, Valeria De Luca

Research output: Contribution to journalArticlepeer-review

5 Scopus citations


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.

Original languageEnglish (US)
Article numbere35951
JournalJournal of medical Internet research
Issue number5
StatePublished - May 1 2022


  • 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

ASJC Scopus subject areas

  • Health Informatics


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