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Healthcare-CT: SoLiD PoD and Blockchain-Enabled Cyber Twin Approach for Healthcare 5.0 Ecosystems
Linnéuniversitetet, Fakulteten för teknik (FTK), Institutionen för datavetenskap och medieteknik (DM).ORCID-id: 0000-0002-2487-0866
Nirma University, India.ORCID-id: 0000-0002-7093-7005
Thapar Intitute of Engineering and Technology, India.
Thapar University, India.ORCID-id: 0000-0002-3020-3947
2024 (engelsk)Inngår i: IEEE Internet of Things Journal, E-ISSN 2327-4662, Vol. 11, nr 4, s. 6119-6130Artikkel i tidsskrift (Fagfellevurdert) Published
Abstract [en]

The healthcare personals often use stored healthcare data to make crucial decisions, assess risk, and care for patients. The extraction of the required information from the saved healthcare data needs a healthcare ecosystem that can guarantee reliable data delivery. The reliability of cyber-physical data needs to be cross-examined using several sources of data of overlapping nature. The cross-examined data can be saved on blockchain and SOLID POD (SP) to preserve its reliability and privacy. Once the reliable healthcare data is stored on the blockchain and SP, the patients’ medical history can be delivered to data-operated systems to monitor, diagnose, and detect augmented healthcare anomalies. Cyber twins (CT) combine the specific cyber-physical objects with digital tools portraying their actual settings. The creation of a live model for the delivery of healthcare services presents a novel opportunity in patient care comprising better evaluation of risk and assessment without hampering the activities of daily living. The introduction of blockchain technology can improve the notion of CTs by certifying transparency, decentralized data storage, data irreversibility, and person-to-person industrial communication. The storage and exchange of CT data in the healthcare ecosystem depend on disseminated ledgers and decentralized databases for storing and processing data to avoid single point reliance. The present study develops an owner-centric decentralized sharing technique to fulfil the decentralized distribution of CT data.

sted, utgiver, år, opplag, sider
IEEE, 2024. Vol. 11, nr 4, s. 6119-6130
HSV kategori
Forskningsprogram
Data- och informationsvetenskap, Datavetenskap
Identifikatorer
URN: urn:nbn:se:lnu:diva-126402DOI: 10.1109/jiot.2023.3312448ISI: 001196533200042Scopus ID: 2-s2.0-85171559340OAI: oai:DiVA.org:lnu-126402DiVA, id: diva2:1826491
Tilgjengelig fra: 2024-01-11 Laget: 2024-01-11 Sist oppdatert: 2024-06-14bibliografisk kontrollert

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