Smart Internet of Things-enabled Mobile-based Health Monitoring Systems and Medical Big Data in COVID-19 Telemedicine

Daniel Kolencik Juraj Cug Juraj Carter
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引用次数: 10

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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基于智能物联网的移动健康监测系统和COVID-19远程医疗中的医疗大数据
关键词:1简介生命体征监测等虚拟医疗工具和设备,完善远程访视体检;4 .调查方法和材料访谈采用在线进行,数据采用5个变量(年龄、种族/民族、性别、受教育程度、(Rahman等人,2020年)可以在整个摄入过程中开发自动筛选算法,并应利用基于物联网的智能移动健康监测系统和COVID-19远程医疗中的医疗大数据,部署流行病学数据,使检查和实践模式规范化(Madigan等人);按需远程医疗可以发展成为筛查COVID-19患者的低障碍建议,劝阻他们前往医疗机构,从而减少身体接触和一线医务人员使用个人防护装备
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