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

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dc.citation.articleNumbere35951en_US
dc.citation.issueNumber5en_US
dc.citation.journalTitleJournal of Medical Internet Researchen_US
dc.citation.volumeNumber24en_US
dc.contributor.authorClay, Ieuanen_US
dc.contributor.authorCormack, Francescaen_US
dc.contributor.authorFedor, Szymonen_US
dc.contributor.authorFoschini, Lucaen_US
dc.contributor.authorGentile, Giovannien_US
dc.contributor.authorHoof, Chris vanen_US
dc.contributor.authorKumar, Priyaen_US
dc.contributor.authorLipsmeier, Florianen_US
dc.contributor.authorSano, Akaneen_US
dc.contributor.authorSmarr, Benjaminen_US
dc.contributor.authorVandendriessche, Benjaminen_US
dc.contributor.authorLuca, Valeria Deen_US
dc.date.accessioned2022-08-04T14:53:16Zen_US
dc.date.available2022-08-04T14:53:16Zen_US
dc.date.issued2022en_US
dc.description.abstractThe 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.en_US
dc.identifier.citationClay, Ieuan, Cormack, Francesca, Fedor, Szymon, et al.. "Measuring Health-Related Quality of Life With Multimodal Data: Viewpoint." <i>Journal of Medical Internet Research,</i> 24, no. 5 (2022) JMIR: https://doi.org/10.2196/35951.en_US
dc.identifier.digitalMeasuringHealth-RelatedQualityofLifeen_US
dc.identifier.doihttps://doi.org/10.2196/35951en_US
dc.identifier.urihttps://hdl.handle.net/1911/112958en_US
dc.language.isoengen_US
dc.publisherJMIRen_US
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited.en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.titleMeasuring Health-Related Quality of Life With Multimodal Data: Viewpointen_US
dc.typeJournal articleen_US
dc.type.dcmiTexten_US
dc.type.publicationpublisher versionen_US
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