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Publication . Preprint . Conference object . Other literature type . 2021

Decentralised Blockchain-based Solutions for Electronic Healthcare Record with Interacting Social Networking Components

Munoz, Daniel-Jesus; Constantinescu, Denisa-Andreea;
Open Access  
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The healthcare industry is a conjunction of monolithic applications based on neutral and time-stamped diagnostics. Hence, it is particularly interested in decentralised technologies to achieve global and social-driven electronic health records. Blockchain is a decentralised networking system where multiple copies of immutable data records are distributed and validated among different independent nodes. While traditionally used to create currently famous digital cryptocurrencies like Bitcoin, its worldwide fever helped to extend its applications beyond the financial industry. However, given how fast completely new technologies evolve, healthcare stakeholders are struggling to find the correct usage of blockchain ecosystem developments. Our goal is to provide a summary of the state-of-the-art efforts in the development of decentralised blockchain-based solutions for electronic healthcare records, in which social networking and wearable technology data is considered in order to provide patient-driven diagnostics – proven to be critical in the current SARS-CoV-2 pandemic. In this paper, we present a comprehensive guide on blockchain technologies competing in the healthcare market, including emerging blockchain-based initiatives and trends. Additionally, we discuss the main caveats of blockchain applications development in this industry based on practical experience. Work by Munoz is supported by the European Union’s H2020 research and innovation programme under grant agreement DAEMON 101017109, by the projects co-financed by FEDER funds LEIA UMA18-FEDERJA-15, MEDEA RTI2018-099213-B-I00 and Rhea P18-FR-1081 and the PRE2019-087496 grant from the Ministerio de Ciencia e Innovación. Work by Constantinescu is supported by the projects TIN2016-80920-R, PID2019-105396RB-I00 and UMA18-FEDERJA-108. This work has been supported by IMFAHE Foundation Nodal Award of 2018.
Subjects by Vocabulary

Microsoft Academic Graph classification: Emerging technologies Cryptocurrency Health care business.industry business Blockchain Data science Order (exchange) Financial services Computer science Market research Wearable technology


blockchain, healthcare, electronic health records, decentralised applications

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Network intelligence for aDAptive and sElf-Learning MObile Networks
  • Funder: European Commission (EC)
  • Project Code: 101017109
  • Funding stream: H2020 | RIA
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