{"title":"Smart Telemedicine Diagnosis Systems, Biomedical Big Data, and Telehealth Outpatient Monitoring in COVID-19 Screening, Testing, and Treatment","authors":"Kenneth Campbell","doi":"10.22381/ajmr81202110","DOIUrl":null,"url":null,"abstract":"Employing recent research results covering smart telemedicine diagnosis systems, biomedical big data, and telehealth outpatient monitoring in COVID19 screening, testing, and treatment, and building my argument by drawing on data collected from Accenture, Amwell, Brookings, GlobalWebIndex, KPMG, PwC, The Rockefeller Foundation, Syneos Health, and USAID, I performed analyses and made estimates regarding how telemedicine and telehealth technologies can be used in inpatient and outpatient video visits 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 Study participants were informed clearly about their freedom to opt out of the study at any point of time without providing justification for doing so 5 Results and Discussion As the volume of confirmed COVID-19 patients and of asymptomatic patients with infection increases, by advancing telehealth, medical personnel are protected from exposure to such a contagious virus, while personal protective equipment can be conserved when unavailabilities take place (Rosen et al , 2020) Home monitoring systems integrated in electronic health records enable frontline medical staff to enroll, triage, and monitor COVID-19 patients remotely by harnessing reported outcome measures","PeriodicalId":91446,"journal":{"name":"American journal of medical research (New York, N.Y.)","volume":"1 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of medical research (New York, N.Y.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22381/ajmr81202110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Employing recent research results covering smart telemedicine diagnosis systems, biomedical big data, and telehealth outpatient monitoring in COVID19 screening, testing, and treatment, and building my argument by drawing on data collected from Accenture, Amwell, Brookings, GlobalWebIndex, KPMG, PwC, The Rockefeller Foundation, Syneos Health, and USAID, I performed analyses and made estimates regarding how telemedicine and telehealth technologies can be used in inpatient and outpatient video visits 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 Study participants were informed clearly about their freedom to opt out of the study at any point of time without providing justification for doing so 5 Results and Discussion As the volume of confirmed COVID-19 patients and of asymptomatic patients with infection increases, by advancing telehealth, medical personnel are protected from exposure to such a contagious virus, while personal protective equipment can be conserved when unavailabilities take place (Rosen et al , 2020) Home monitoring systems integrated in electronic health records enable frontline medical staff to enroll, triage, and monitor COVID-19 patients remotely by harnessing reported outcome measures