Blockchain-empowered Edge Intelligence for Internet of Medical Things Against COVID-19
Hong-Ning Dai, Yulei Wu, Hao Wang, Muhammad Imran, Noman Haider

TL;DR
This paper proposes a blockchain-empowered edge intelligence framework for IoMT to enhance COVID-19 response by improving monitoring, supply chain traceability, and remote healthcare, addressing privacy, latency, and security challenges.
Contribution
It introduces a novel architecture integrating blockchain and edge intelligence for IoMT, specifically targeting COVID-19 related healthcare challenges.
Findings
Enhanced COVID-19 monitoring and tracing capabilities.
Traceable supply chain management for medicines and vaccines.
Improved telemedicine and remote healthcare services.
Abstract
We have witnessed an unprecedented public health crisis caused by the new coronavirus disease (COVID-19), which has severely affected medical institutions, our common lives, and social-economic activities. This crisis also reveals the brittleness of existing medical services, such as over-centralization of medical resources, the hysteresis of medical services digitalization, and weak security and privacy protection of medical data. The integration of the Internet of Medical Things (IoMT) and blockchain is expected to be a panacea to COVID-19 attributed to the ubiquitous presence and the perception of IoMT as well as the enhanced security and immutability of the blockchain. However, the synergy of IoMT and blockchain is also faced with challenges in privacy, latency, and context-absence. The emerging edge intelligence technologies bring opportunities to tackle these issues. In this…
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Taxonomy
TopicsBlockchain Technology Applications and Security · COVID-19 diagnosis using AI · IoT and Edge/Fog Computing
