Health technology assessment review: Remote monitoring of vital signs—current status and future challenges
Open accessAbstract
Recent developments in communications technologies and associated computing and digital electronics now permit patient data, including routine vital signs, to be surveyed at a distance. Remote monitoring, or telemonitoring, can be regarded as a subdivision of telemedicine - the use of electronic and telecommunications technologies to provide and support health care when distance separates the participants. Depending on environment and purpose, the patient and the carer/system surveying, analysing or interpreting the data could be separated by as little as a few feet or be on different continents. Most telemonitoring systems will incorporate five components: data acquisition using an appropriate sensor; transmission of data from patient to clinician; integration of data with other data describing the state of the patient; synthesis of an appropriate action, or response or escalation in the care of the patient, and associated decision support; and storage of data. Telemonitoring is currently being used in community-based healthcare, at the scene of medical emergencies, by ambulance services and in hospitals. Current challenges in telemonitoring include: the lack of a full range of appropriate sensors, the bulk weight and size of the whole system or its components, battery life, available bandwidth, network coverage, and the costs of data transmission via public networks. Telemonitoring also has the ability to produce a mass of data - but this requires interpretation to be of clinical use and much necessary research work remains to be done.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Most healthcare systems deal with data acquisition using adequate sensor set, transmission from subject to clinician, integration with other descriptive data, and data storage.
“According to [1,19], most healthcare systems are dealing with the following issues: (1) data acquisition using the adequate sensor set; (2) transmission of data from subject to clinician; (3) integration of data with other descriptive data; and (4) data storage.”
From Data Mining for Wearable Sensors in Health Monitoring Systems: A Review of Recent Trends and Challenges (2013) · cites this paper as [19]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 56 · Cited by 150
Research works printed but not linked: 1
- National Institute for Health and Clinical Excellence Acutely ill patients in hospital: Recognition of and response to acute illness in adults in hospital NICE Clinical Guideline No. 50 http://www.nice.org.uk/CG50 21204323
- Authors
- Nangalia, V., Prytherch, D. R., & Smith, G. B.
- Affiliations
- University College Hospital (GB)
- Queen Alexandra Hospital (GB)
- Corresponding author
- Smith, Gary B
- Venue
- Critical Care
- Published
- 2010
- Volume
- 14
- Issue
- 5
- Pages
- 233
- ISSN
- 1364-8535 (ISSN-L)
- PMC
- PMC3219238
- OpenAlex
- W2064454054
- Cited by
- 150
- References
- 56
- Citations by year
- 2026: 6 · 2025: 9 · 2024: 9 · 2023: 12 · 2022: 8 · 2021: 9 · 2020: 9 · 2019: 14 · 2018: 12 · 2017: 8 · 2016: 10 · 2015: 13 · 2014: 8 · 2013: 8 · 2012: 6
- FWCI
- 1.01
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Critical Care (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Topics
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
- Physical Sciences › Engineering › Biomedical Engineering › Non-Invasive Vital Sign Monitoring
- Health Sciences › Medicine › Surgery › Healthcare Technology and Patient Monitoring
- Keywords
- remote monitoring, vital signs, remote patient monitoring, telemedicine, data transmission, decision support, community-based care, ambulance services, hospital monitoring, battery life, network coverage, data interpretation
- MeSH terms
- Delivery of Health Care, Forecasting, Humans, Monitoring, Physiologic, Technology Assessment, Biomedical, Telemedicine, Biomedical Technology, Vital Signs
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review