Remote health diagnosis and monitoring in the time of COVID-19
Open accessAbstract
Coronavirus disease (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is rapidly spreading across the globe. The clinical spectrum of SARS-CoV-2 pneumonia requires early detection and monitoring, within a clinical environment for critical cases and remotely for mild cases, with a large spectrum of symptoms. The fear of contamination in clinical environments has led to a dramatic reduction in on-site referrals for routine care. There has also been a perceived need to continuously monitor non-severe COVID-19 patients, either from their quarantine site at home, or dedicated quarantine locations (e.g. hotels). In particular, facilitating contact tracing with proximity and location tracing apps was adopted in many countries very rapidly. Thus, the pandemic has driven incentives to innovate and enhance or create new routes for providing healthcare services at distance. In particular, this has created a dramatic impetus to find innovative ways to remotely and effectively monitor patient health status. In this paper, we present a review of remote health monitoring initiatives taken in 20 states during the time of the pandemic. We emphasize in the discussion particular aspects that are common ground for the reviewed states, in particular the future impact of the pandemic on remote health monitoring and consideration on data privacy.
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- Authors
- Behar, J. A., Liu, C., Kotzen, K., Tsutsui, K., Corino, V. D. A., Singh, J., Pimentel, M. A. F., Warrick, P., Zaunseder, S., Andreotti, F., Sebag, D., Kopanitsa, G., McSharry, P. E., Karlen, W., Karmakar, C., & Clifford, G. D.
- Affiliations
- Technion – Israel Institute of Technology (IL)
- State Key Laboratory of Digital Medical Engineering (CN)
- Saitama International Medical Center (JP)
- Politecnico di Milano (IT)
- University of Oxford (GB)
- ITMO University (RU)
- ETH Zurich (CH)
- Deakin University (AU)
- Georgia Institute of Technology (US)
- Corresponding author
- Behar, Joachim A
- ORCID
- Venue
- Physiological Measurement
- Publisher
- IOP Publishing
- Published
- 2020-10-01
- Volume
- 41
- Issue
- 10
- Pages
- 10TR01
- ISSN
- 0967-3334 (ISSN-L)
- 1361-6579
- PMC
- PMC9364387
- OpenAlex
- W3087521224
- Semantic Scholar
- 7cb560d6c6fdf94842e84b1a55b513c0a44da53b
- Cited by
- 86
- References
- 47
- Citations by year
- 2026: 12 · 2025: 9 · 2024: 18 · 2023: 7 · 2022: 12 · 2021: 25 · 2020: 3
- FWCI
- 8.79
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- Locations
- Physiological Measurement (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- arXiv (Cornell University) (submittedVersion)
- Virtual Community of Pathological Anatomy (University of Castilla La Mancha) (submittedVersion, other-oa)
- OPUS (Augsburg University) (submittedVersion, cc-by-nc-nd)
- arXiv (Cornell University)
- Funders
- National Institutes of Health (UL1TR002378)
- National Center for Advancing Translational Sciences
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Physical Sciences › Computer Science › Information Systems › Healthcare during COVID-19 Pandemic
- Keywords
- remote patient monitoring, COVID-19 pandemic, SARS-CoV-2, telemedicine, contact tracing, quarantine, data privacy, home care, pandemic impact on healthcare
- MeSH terms
- COVID-19, Humans, Monitoring, Physiologic, Pneumonia, Viral, Telemedicine, Coronavirus Infections, Pandemics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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