Peer-Reviewed Publication
PNAS Nexus2025;4(10):pgaf295.October 1, 2025Journal Article
American Life in Realtime: Benchmark, publicly available person-generated health data for equity in precision health.
Ritika R Chaturvedi1,2, Marco Angrisani1, Wendy M Troxel3, Monika Jain4, Tania Gutsche1, Eva Ortega1, Adrien Boch4, Citina Liang5, Shiyang Sima6, Aziz Mezlini4, Eric J Daza4, Miad Boodaghidizaji7, Sze-Chuan Suen5, Alok R Chaturvedi6, Hossein Ghasemkhani6, Arezoo M Ardekani7, Arie Kapteyn1
1Center for Economic and Social Research, University of Southern California, 635 Downey Way, Verna and Peter Dauterive Hall (VPD), Los Angeles, CA 90089, USA.
2Leonard D. Schaeffer Center for Health Policy and Economics, University of Southern California, 635 Downey Way, Verna and Peter Dauterive Hall (VPD), Los Angeles, CA 90089, USA.
3Division of Social and Economic Wellbeing, RAND Corporation, 4570 Fifth Avenue, Pittsburgh, PA 15213, USA.
4Evidation Health, Inc., 63 Bovet Road #146, San Mateo, CA 94402, USA.
5Viterbi School of Engineering, University of Southern California, 3650 McClintock Ave, Los Angeles, CA 90089, USA.
6Daniels School of Business, Purdue University, 403 Mitch Daniels Blvd, West Lafayette, IN 47907, USA.
7College of Engineering, Purdue University, 701 W Stadium Ave #3000, West Lafayette, IN 47907, USA.
Abstract
Person-generated health data (PGHD) from smartphones/wearables are invaluable for precision health, a field promoting health equity through tailored disease prevention, detection, and intervention strategies. However, pervasive convenience sampling in extant PGHD research introduces selection biases that systematically underrepresent disadvantaged groups, limit model generalizability, and risk exa…
Create a free account to keep reading
Free members get 10 full research views every month across publications, clinical trials, FDA clearances, adverse events, and NIH grants. No credit card required.
Want unlimited research access? See Pro plans