Mobile health: the power of wearables, sensors, and apps to transform clinical trials
Open accessAbstract
Mobile technology has become a ubiquitous part of everyday life, and the practical utility of mobile devices for improving human health is only now being realized. Wireless medical sensors, or mobile biosensors, are one such technology that is allowing the accumulation of real‐time biometric data that may hold valuable clues for treating even some of the most devastating human diseases. From wearable gadgets to sophisticated implantable medical devices, the information retrieved from mobile technology has the potential to revolutionize how clinical research is conducted and how disease therapies are delivered in the coming years. Encompassing the fields of science and engineering, analytics, health care, business, and government, this report explores the promise that wearable biosensors, along with integrated mobile apps, hold for improving the quality of patient care and clinical outcomes. The discussion focuses on groundbreaking device innovation, data optimization and validation, commercial platform integration, clinical implementation and regulation, and the broad societal implications of using mobile health technologies.
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DHT tools have been shown to increase study engagement, improve patient convenience, streamline collection of PROs, and potentially generate more frequent and accurate data that can characterise disease.
“In recent years, consumer-grade mobile applications (app.) and wearable devices have shown promise to objectively measure participants’ symptoms during daily life7; these digital health technologies (DHT) tools8 have shown to increase study engagement, improve patient convenience, streamline collection of PROs9, and potentially generate more frequent and accurate data that can characterise disease”
From Digital health technologies and machine learning augment patient reported outcomes to remotely characterise rheumatoid arthritis (2024) · cites this paper as [10]
With the help of wireless systems and AI, wearable smart sensors can be personalized and accessible to patients anywhere and anytime.
“With the help of wireless systems and AI, these wearable smart sensors can be personalized and be accessible to patients anywhere and anytime [31,32] (Figure 1b).”
From The emergence of AI-based wearable sensors for digital health technology: a review (2023) · cites this paper as [31]
Data quality is decisive for data accuracy and reliability.
“data quality is decisive for data accuracy and reliability14–16”
From Data quality evaluation in wearable monitoring (2022) · cites this paper as [16]
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References 26 · Cited by 118
Research works printed but not linked: 3
- Dodd, S., I.R. White & P. Williamson. 2012. Nonadherence to treatment protocol in published randomized controlled trials: a review. Trials 13: 84.
- Enck, P., S. Klosterhalfen, K. Weimer, et al. 2011. The placebo response in clinical trials: more questions than answers. Phi- los. Trans. R. Soc. Lond. B Biol. Sci. 366: 1889-1895.
- Schumpeter, J.A. 1934. The Theory of Economic Development. Cambridge: Harvard University Press.
- Authors
- Munos, B., Baker, P. C., Bot, B. M., Crouthamel, M., de Vries, G., Ferguson, I., Hixson, J. D., Malek, L. A., Mastrototaro, J. J., Misra, V., Ozcan, A., Sacks, L., & Wang, P.
- Affiliations
- Milken Institute (US)
- FierceBigData, Questex Media Group LLC
- Sage Bionetworks (US)
- GlaxoSmithKline (United States) (US)
- Medidata Solutions New York New York
- ARM San Francisco California
- San Francisco VA Medical Center (US)
- Healthcare and Privacy & Cybersecurity Practices Moses & Singer, LLP New York New York
- Medtronic PLC Los Angeles California
- North Carolina State University (US)
- California NanoSystems Institute and Departments of Bioengineering and Electrical Engineering University of California Los Angeles California
- United States Food and Drug Administration (US)
- Icahn School of Medicine at Mount Sinai (US)
- ORCID
- Venue
- Annals of the New York Academy of Sciences
- Publisher
- Wiley
- Published
- 2016-07
- Volume
- 1375
- Issue
- 1
- Pages
- 3-18
- ISSN
- 0077-8923 (ISSN-L)
- 1749-6632
- OpenAlex
- W2462711463
- Cited by
- 118
- References
- 26
- Citations by year
- 2026: 5 · 2025: 9 · 2024: 12 · 2023: 16 · 2022: 16 · 2021: 13 · 2020: 15 · 2019: 10 · 2018: 16 · 2017: 4 · 2016: 1
- FWCI
- 19.25
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Annals of the New York Academy of Sciences (publishedVersion, other-oa)
- PubMed (publishedVersion)
- Funders
- North Carolina State University
- U.S. Food and Drug Administration
- Topics
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Engineering › Biomedical Engineering › Wireless Body Area Networks
- Keywords
- mobile health, wearable biosensors, mobile application, biomedical implants, biometric data, real-time health monitoring, medical device regulation, quality of care, clinical outcomes
- MeSH terms
- Clinical Trials as Topic, Humans, Public Health, Telemetry, Biosensing Techniques, Telemedicine, Mobile Applications
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