Blockchain and Fog Computing in IoT-Driven Healthcare Services for Smart Cities

• Published in: Journal of healthcare engineering 2022, Vol.2022, p.9957888-13
• Main Authors: Kamruzzaman, M. M., Yan, Bingxin, Sarker, Md Nazirul Islam, Alruwaili, Omar, Wu, Min, Alrashdi, Ibrahim
• Format: Article
• Language: English
• Subjects: Blockchain; Cities; Delivery of Health Care; Health Services; Humans; Privacy
• ISSN: 2040-2295; 2040-2309
• DOI: 10.1155/2022/9957888

Nowadays, technology has been evolving rapidly. Due to the consequent impact of smart technologies, it becomes a ubiquitous part of life. These technologies have led to the emergence of smart cities that are geographic areas driven by advanced information and communication technologies. In the context of smart cities, IoT, blockchain, and fog computing have been found as the significant drivers of smart initiates. In this recognition, the present study is focused on delineating the impact and potential of blockchain, IoT, and fog computing on healthcare services in the context of smart cities. In pursuit of this objective, the study has conducted a systematic review of literature that is most relevant to the topic of the paper. In order to select the most relevant and credible articles, the researcher has used PRISMA and AMSTAR that have culminated in the 10 most relevant articles for the present study. The findings revealed that IoT, blockchain, and fog computing had become drivers of efficiency in the healthcare services in smart cities. Among the three technologies, IoT has been found to be widely incorporated. However, it is found to be lacking in terms of cost efficiency, data privacy, and interoperability of data. In this recognition, blockchain technology and fog computing have been found to be more relevant to the healthcare sector in smart cities. Blockchain has been presented as a promising technology for ensuring the protection of private data, creating a decentralized database, and improving the interoperability of data while fog computing has been presented as the promising technology for low-cost remote monitoring, reducing latency and increasing efficiency.