V3+ extends the V3 framework to ensure user-centricity and scalability of sensor-based digital health technologies
Year: 2025
Type: review
Abstract: We propose the addition of usability validation to the extended V3 framework, now "V3+", and describe a pragmatic approach to ensuring that sensor-based digital health technologies can be used optimally at scale by diverse users. Alongside the original V3 components (verification; analytical validation; clinical validation), usability validation will ensure user-centricity of digital measurement tools, paving the way for more inclusive, reliable, and trustworthy digital measures within clinical research and clinical care.
Source: npj Digital Medicine
Authors: Jessie P. Bakker, Roland Barge, Jacob Centra, Bryan Cobb, Chas Cota, Christine C. Guo, Bert Hartog, Nathalie Horowicz-Mehler, Elena S. Izmailova, Nikolay V. Manyakov, Samantha McClenahan, Stéphane Motola, Smit Patel, Oana Paun, Marian Schoone, Emre Sezgin, Thomas Switzer, Animesh Tandon, Willem van den Brink, Srinivasan Vairavan, Benjamin Vandendriessche, Bernard Vrijens, Jennifer C. Goldsack
Institutions: Harvard University, Mass General Brigham, Regeneron (United States), Genentech, Johnson & Johnson (Netherlands), Sysnav (France), Netherlands Organisation for Applied Scientific Research, Nationwide Children's Hospital, Cleveland Clinic, Cleveland Clinic Lerner College of Medicine, Cleveland Clinic Research, Case Western Reserve University, Johnson & Johnson (United States), University of Liège
Language: English
Subfield: General Health Professions
Field: Health Professions
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $4,090
OpenAlex ID: W4406809550
