Remote monitoring of chronic diseases: a landscape assessment of policies in four European countries
Open accessAbstract
BACKGROUND: Remote monitoring (RM) is defined as the surveillance of device-transmitted outpatient data. RM is expected to enable better management of chronic diseases. The objective of this research was to identify public policies concerning RM in four European countries. METHODS: Searches of the medical literature, the Internet, and Ministry of Health websites for the United Kingdom (UK), Germany, Italy, and Spain were performed in order to identify RM policies for chronic diseases, including end stage renal disease (ESRD), chronic pulmonary obstructive disease (COPD), diabetes, heart failure, and hypertension. Searches were first performed in Q1 2014 and updated in Q4 2015. In addition, in depth interviews were conducted with payers/policymakers in each country. Information was obtained on existing policies, disease areas and RM services covered and level of reimbursement, other incentives such as quality indicators, past/current assessments of RM technologies, diseases perceived to benefit most from RM, and concerns about RM. RESULTS: Policies on RM and/or telemedicine were identified in all four countries. Pilot projects (mostly in diabetes, COPD, and/or heart failure) existed or were planned in most countries. Perceived value of RM was moderate to high, with the highest rating given for heart failure. Interviewees expressed concerns about sharing of medical information, and the need for capital investment. Patients recently discharged from hospital, and patients living remotely, or with serious and/or complicated diseases, were believed to be the most likely to benefit from RM. Formal reimbursement is scarce, but more commonly available for patients with heart failure. CONCLUSIONS: In the four European countries surveyed, RM has attracted considerable interest for its potential to increase the efficiency of healthcare for chronic diseases. Although rare at this moment, incentives to use RM technology are likely to increase in the near future as the body of evidence of clinical and/or economic benefit grows.
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Current AI applications within healthcare are often standalone applications used for diagnostics using medical imaging and disease prediction using remote patient monitoring.
“Current AI applications within healthcare are often standalone applications, these are often used for diagnostics using medical imaging and for disease prediction using remote patient monitoring [38].”
From The rise of artificial intelligence in healthcare applications (2020) · cites this paper as [38]
The Introduction (page not provided) says remote monitoring and trend analysis can detect deterioration in a patient’s condition early. It does not describe AI-based disease prediction, standalone AI applications, or diagnosis using medical imaging; its mention of transmitted still images is not evidence of AI imaging diagnostics. (LLM, conf=0.82)
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- Authors
- Rojahn, K., Laplante, S., Sloand, J., Main, C., Ibrahim, A., Wild, J., Sturt, N., Areteou, T., & Johnson, K. I.
- Affiliations
- Baxter (United States) (US)
- Compton Community College District (US)
- Corresponding author
- Rojahn, Katherine
- ORCID
- Sloand, James
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2016-05-19
- Volume
- 11
- Issue
- 5
- Pages
- e0155738
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4873167
- OpenAlex
- W2408214547
- Cited by
- 54
- References
- 31
- Citations by year
- 2024: 6 · 2023: 5 · 2022: 7 · 2021: 4 · 2020: 6 · 2019: 14 · 2018: 7 · 2017: 3 · 2016: 2
- FWCI
- 8.60
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS ONE (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Baxter Healthcare Corporation (Baxter Healthcare Corporation funded and hired Double Helix to conduct the study.)
- 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
- Health Sciences › Medicine › Epidemiology › Chronic Disease Management Strategies
- Keywords
- remote monitoring, telemedicine, chronic disease, health policy, reimbursement, end-stage renal disease, diabetes mellitus, heart failure, hypertension, pilot project, data sharing, health care efficiency, United Kingdom, Germany, Italy, Spain
- MeSH terms
- Chronic Disease, Diabetes Mellitus, Germany, United Kingdom, Health Policy, Heart Failure, Humans, Hypertension, Italy, Kidney Failure, Chronic, Monitoring, Physiologic, Spain, Telemedicine, Remote Consultation, Pulmonary Disease, Chronic Obstructive
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