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Towards a Smart Healthcare System: An Architecture Based on IoT, Blockchain, and Fog Computing

Towards a Smart Healthcare System: An Architecture Based on IoT, Blockchain, and Fog Computing

Laila Fetjah, Kebira Azbeg, Ouail Ouchetto, Said Jai Andaloussi
Copyright: © 2021 |Volume: 16 |Issue: 4 |Pages: 18
ISSN: 1555-3396|EISSN: 1555-340X|EISBN13: 9781799859819|DOI: 10.4018/IJHISI.20211001.oa16
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MLA

Fetjah, Laila, et al. "Towards a Smart Healthcare System: An Architecture Based on IoT, Blockchain, and Fog Computing." IJHISI vol.16, no.4 2021: pp.1-18. http://doi.org/10.4018/IJHISI.20211001.oa16

APA

Fetjah, L., Azbeg, K., Ouchetto, O., & Andaloussi, S. J. (2021). Towards a Smart Healthcare System: An Architecture Based on IoT, Blockchain, and Fog Computing. International Journal of Healthcare Information Systems and Informatics (IJHISI), 16(4), 1-18. http://doi.org/10.4018/IJHISI.20211001.oa16

Chicago

Fetjah, Laila, et al. "Towards a Smart Healthcare System: An Architecture Based on IoT, Blockchain, and Fog Computing," International Journal of Healthcare Information Systems and Informatics (IJHISI) 16, no.4: 1-18. http://doi.org/10.4018/IJHISI.20211001.oa16

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Abstract

With the rapid development in smart medical devices, Internet of things has a large applicability in healthcare sector. The current system is based on a centralized communication with cloud servers. However, this architecture increases security and privacy risks. This paper describes an architecture of a smart healthcare system for remote patient monitoring. To ensure security and privacy, the architecture uses the Blockchain technology. For data analysis, smart contracts and artificial intelligence are used. The architecture is divided into three layers: smart medical devices layer, fog layer and cloud layer. To validate the proposed approach, a scenario based on diabetes management system is described. The architecture is applied to provide remote diabetic patients monitoring. The system could suggest treatments, generate proactive predictions and predict future complications as well as alerting physicians in case of emergency.