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Blockchain Technology Projects to Provide Telemedical Services: Systematic Review

  • Background: One of the most promising health care development areas is introducing telemedicine services and creating solutions based on blockchain technology. The study of systems combining both these domains indicates the ongoing expansion of digital technologies in this market segment. Objective: This paper aims to review the feasibility of blockchain technology for telemedicine. Methods: The authors identified relevant studies via systematic searches of databases including PubMed, Scopus, Web of Science, IEEE Xplore, and Google Scholar. The suitability of each for inclusion in this review was assessed independently. Owing to the lack of publications, available blockchain-based tokens were discovered via conventional web search engines (Google, Yahoo, and Yandex). Results: Of the 40 discovered projects, only 18 met the selection criteria. The 5 most prevalent features of the available solutions (N=18) were medical data access (14/18, 78%), medical service processing (14/18, 78%), diagnostic support (10/18, 56%), payment transactions (10/18, 56%), and fundraising for telemedical instrument development (5/18, 28%). Conclusions: These different features (eg, medical data access, medical service processing, epidemiology reporting, diagnostic support, and treatment support) allow us to discuss the possibilities for integration of blockchain technology into telemedicine and health care on different levels. In this area, a wide range of tasks can be identified that could be accomplished based on digital technologies using blockchains.

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Author:Konstantin KoshechkinORCiD, Georgy LebedevORCiD, George RadzievskyORCiD, Ralf SeepoldORCiDGND, Natividad Martínez MadridORCiD
Parent Title (English):Journal of Medical Internet Research
Volume:Vol. 23
Publisher:JMIR Publications, Inc.
Document Type:Article
Year of Publication:2021
Release Date:2021/10/07
Tag:Blockchain; Distributed ledger; Health information exchange; Telemedicine
Issue:No. 8
Page Number:11
Article Number:e17475
Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/17475, first published December 15, 2019
Institutes:Fakultät Informatik
Open Access?:Ja
Relevance:Peer reviewed Publikation in Master Journal List
Licence (German):License LogoCreative Commons - CC BY - Namensnennung 4.0 International