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Smart Internet of Things-enabled Mobile-based Health Monitoring Systems and Medical Big Data in COVID-19 Telemedicine
American Journal of Medical Research ; 8(1):20-29, 2021.
Article in English | ProQuest Central | ID: covidwho-1181919
ABSTRACT
Keywords COVID-19;telemedicine;medical big data;health monitoring system 1.Introduction Virtual care tools such as vital sign monitoring and devices to improve the remote visit physical examination, in addition to home laboratory testing should be networked so as to contain the COVID-19 pandemic. Descriptive statistics of compiled data from the completed surveys were calculated when appropriate. 4.Survey Methods and Materials The interviews were conducted online and data were weighted by five variables (age, race/ethnicity, gender, education, and geographic region) using the Census Bureau's American Community Survey to reflect reliably and accurately the demographic composition of the United States. (Rahman et al., 2020) Automated screening algorithms can be developed throughout the intake process, and epidemiologic data should be deployed to regularize examination and practice patterns by use of smart Internet of Things-enabled mobile-based health monitoring systems and medical big data in COVID-19 telemedicine. (Madigan et al., 2020) 6.Conclusions and Implications On-demand telehealth can develop into a low-barrier proposal to screening patients for COVID-19, discouraging them from visiting healthcare facilities and thus decreasing physical contact and frontline medical staff use of personal protective equipment.
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Collection: Databases of international organizations Database: ProQuest Central Language: English Journal: American Journal of Medical Research Year: 2021 Document Type: Article

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Collection: Databases of international organizations Database: ProQuest Central Language: English Journal: American Journal of Medical Research Year: 2021 Document Type: Article