Current challenges and opportunities in active and passive data collection for mobile health sensing: a scoping review.

Journal: JAMIA open
Published Date: Jul 18, 2025

Abstract

OBJECTIVE: Mobile and ubiquitous devices enable health data collection "in a free-living environment" to support applications such as remote patient monitoring and adaptive digital interventions using machine learning (ML). Despite their potential, significant data collection challenges persist, including issues related to user compliance with reporting data, passive data consistency, and authorization. This scoping review identifies and analyzes these challenges, focusing on barriers to effective data collection.

Authors

  • Christopher Slade
    Department of Information and Computer Science, University of Hawaii, Honolulu, HI 96822, United States.
  • Yinan Sun
    Department of Information and Computer Science, University of Hawaii, Honolulu, HI 96822, United States.
  • Wei Cheng Chao
    Computer Science Department, Brigham Young University-Hawaii, Laie, HI 96762, United States.
  • Chih-Chun Chen
    Computer Science Department, Brigham Young University-Hawaii, Laie, HI 96762, United States.
  • Roberto M Benzo
    Division of Cancer Prevention and Control, Department of Internal Medicine, College of Medicine, The Ohio State University Comprehensive Cancer Center, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.
  • Peter Washington
    Information and Computer Sciences, University of Hawaii at Manoa, Honolulu, HI 96822, USA.

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