A Review of Blockchain Technology Applications in Ambient Assisted Living

Abstract

The adoption of remote assisted care was accelerated by the COVID-19 pandemic. This type of system acquires data from various sensors, runs analytics to understand people’s activities, behavior, and living problems, and disseminates information with healthcare stakeholders to support timely follow-up and intervention. Blockchain technology may offer good technical solutions for tackling Internet of Things monitoring, data management, interventions, and privacy concerns in ambient assisted living applications. Even though the integration of blockchain technology with assisted care is still at the beginning, it has the potential to change the health and care processes through a secure transfer of patient data, better integration of care services, or by increasing coordination and awareness across the continuum of care. The motivation of this paper is to systematically review and organize these elements according to the main problems addressed. To the best of our knowledge, there are no studies conducted that address the solutions for integrating blockchain technology with ambient assisted living systems. To conduct the review, we have followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodology with clear criteria for including and excluding papers, allowing the reader to effortlessly gain insights into the current state-of-the-art research in the field. The results highlight the advantages and open issues that would require increased attention from the research community in the coming years. As for directions for further research, we have identified data sharing and integration of care paths with blockchain, storage, and transactional costs, personalization of data disclosure paths, interoperability with legacy care systems, legal issues, and digital rights management.

Policy-Based Chameleon Hash with Black-Box Traceability for Redactable Blockchain in IoT

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Adoption of IoT by telecommunication companies in GCC: The role of blockchain

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A Software Framework for Intelligent Security Measures Regarding Sensor Data in the Context of Ambient Assisted Technology

“…Many approaches are utilized to ensure the privacy of data transmitted through sensor devices within the Internet of Medical Things (IoMT) [ 5 ]. Some of the approaches include public key-based data encryption [ 6 ], blockchain technology [ 7 , 8 ], Deep Learning for encryption [ 9 ], and the data aggregation mechanism [ 10 ]. As a crucial data processing method, data aggregation may minimize energy and bandwidth usage while gaining correct information by integrating message authentication codes with each data packet rather than sending an auxiliary packet with checksum and error detection codes [ 11 ].…”