Remote Patient Monitoring via Non-Invasive Digital Technologies: A Systematic Review
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Background: We conducted a systematic literature review to identify key trends associated with remote patient monitoring (RPM) via noninvasive digital technologies over the last decade. Materials and Methods: A search was conducted in EMBASE and Ovid MEDLINE. Citations were screened for relevance against predefined selection criteria based on the PICOTS (Population, Intervention, Comparator, Outcomes, Timeframe, and Study Design) format. We included studies published between January 1, 2005 and September 15, 2015 that used RPM via noninvasive digital technology (smartphones/personal digital assistants [PDAs], wearables, biosensors, computerized systems, or multiple components of the formerly mentioned) in evaluating health outcomes compared to standard of care or another technology. Studies were quality appraised according to Critical Appraisal Skills Programme. Results: Of 347 articles identified, 62 met the selection criteria. Most studies were randomized control trials with older adult populations, small sample sizes, and limited follow-up. There was a trend toward multicomponent interventions ( n = 26), followed by smartphones/PDAs ( n = 12), wearables ( n = 11), biosensor devices ( n = 7), and computerized systems ( n = 6). Another key trend was the monitoring of chronic conditions, including respiratory (23%), weight management (17%), metabolic (18%), and cardiovascular diseases (16%). Although substantial diversity in health-related outcomes was noted, studies predominantly reported positive findings. Conclusions: This review will help decision makers develop a better understanding of the current landscape of peer-reviewed literature, demonstrating the utility of noninvasive RPM in various patient populations. Future research is needed to determine the effectiveness of RPM via noninvasive digital technologies in delivering patient healthcare benefits and the feasibility of large-scale implementation.
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Studies have shown that RPM improves management of chronic conditions, such as hypertension.
“Studies have shown that RPM improves management of chronic conditions,3 such as hypertension,4”
From Challenges and Facilitators in Implementing Remote Patient Monitoring Programs in Primary Care (2024) · cites this paper as [3]
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The Opportunity for Telehealth to Support Neurological Health Care
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Rivera‐Lara, L., Geocadin, R., Vaca, A. Z., Healy, R., Radzik, B. R., Palmisano, C., White, M. A., Sha, D., Mejia, L. P., Brown, C. H., et al. (2019) · Journal of Neurosurgical Anesthesiology · doi:10.1097/ana.0000000000000589 · Cited by 26 · see citing works
- Authors
- Vegesna, A., Tran, M., Angelaccio, M., & Arcona, S.
- Affiliations
- Novartis (United States) (US)
- Novartis Pharmaceuticals Corporation
- Corresponding author
- Vegesna, Ashok
- Venue
- Telemedicine and e-Health
- Publisher
- SAGE Publications
- Published
- 2017-01
- Volume
- 23
- Issue
- 1
- Pages
- 3-17
- ISSN
- 1530-5627 (ISSN-L)
- 1556-3669
- PMC
- PMC5240011
- OpenAlex
- W2343863069
- Cited by
- 404
- References
- 81
- Citations by year
- 2026: 35 · 2025: 41 · 2024: 60 · 2023: 55 · 2022: 55 · 2021: 52 · 2020: 49 · 2019: 35 · 2018: 13 · 2017: 8 · 2016: 1
- FWCI
- 2.84
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Telemedicine Journal and e-Health (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Novartis Pharmaceuticals Corporation
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Keywords
- remote patient monitoring, smartphones, personal digital assistants, wearable devices, biosensors, computerized systems, chronic disease management, respiratory diseases, weight management, metabolic disorders, cardiovascular disease, older adults, multicomponent intervention, health outcomes
- MeSH terms
- Chronic Disease, Telemedicine, Monitoring, Ambulatory, Remote Sensing Technology
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