Internet of Things-based Health Monitoring Systems, Artificial Intelligence-driven Diagnostic Algorithms, and Body Area Sensor Networks in COVID-19 Prevention, Screening, and Treatment

Abstract

Despite the relevance of Internet of Things-based health monitoring systems, artificial intelligence-driven diagnostic algorithms, and body area sensor networks in COVID-19 prevention, screening, and treatment, only limited research has been conducted on this topic. Throughout January 2022, I performed a quantitative literature review of the Web of Science, Scopus, and ProQuest databases, with search terms including "COVID-19" + "Internet of Things-based health monitoring systems," "artificial intelligence-driven diagnostic algorithms," and "body area sensor networks." Keywords: Internet of Medical Things;COVID-19;body area sensor network 1.Introduction The purpose of my systematic review is to examine the recently published literature on COVID-19 prevention, screening, and treatment, and integrate the insights it configures on Internet of Things-based health monitoring systems, artificial intelligence-driven diagnostic algorithms, and body area sensor networks. Sensitive physiological data collected by medical sensor devices can be instrumental in COVID-19 prevention, clinical observation, visual data analysis, patient diagnosis, contact tracing, and intervention processes, optimizing Internet of Medical Things system interoperability. 3.Methodology Throughout January 2022, a quantitative literature review of the Web of Science, Scopus, and ProQuest databases was performed, with search terms including "COVID-19" + "Internet of Things-based health monitoring systems," "artificial intelligence-driven diagnostic algorithms," and "body area sensor networks." Sensitive physiological data collected by medical sensor devices can be instrumental in COVID-19 prevention, clinical observation, visual data analysis, patient diagnosis, contact tracing, and intervention processes, optimizing Internet of Medical Things system interoperability.