Edge computing in IoT for smart healthcare

Yaraziz, Mahdi Safaei, Sohrabi Safa, Nader ORCID: https://orcid.org/0000-0003-4897-0084 and Azad, Muhammad Ajmal (2024) Edge computing in IoT for smart healthcare. Journal of Ambient Intelligence and Smart Environments. pp. 1-30. ISSN 1876-1364

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Abstract

The rapid advances in the Internet of Things (IoT) and the increment of its users have opened a door to put into service IoT in healthcare, known as the Internet of Medical Things (IoMT), which consists of cloud, fog, and edge computing. IoMT has shown to be a flexible framework to remove traditional healthcare limits through utilizing technology/techniques and innovative digital devices to monitor patients’ conditions and to address medical service problems such as inaccuracy and long response time. It also could be helpful within critical and unexpected circumstances like epidemic diseases. Fortunately, some methods, including Edge Computing, were introduced to improve the healthcare system, make it more effective and solve problems. In this work, a Systematic Literature Review (SLR) was used to study Edge Computing solutions in healthcare, evaluate efficient therapeutic approaches, and demonstrate key factors that have not been considered in previous studies.