Internet of Things-enabled Smart Devices, Healthcare Body Sensor Networks, and Online Patient Engagement in COVID-19 Prevention, Screening, and Treatment
{"title":"Internet of Things-enabled Smart Devices, Healthcare Body Sensor Networks, and Online Patient Engagement in COVID-19 Prevention, Screening, and Treatment","authors":"K. Mitchell","doi":"10.22381/ajmr8120213","DOIUrl":null,"url":null,"abstract":"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 The COVID-19 experience has led to increased awareness of telehealth amongst healthcare providers and patients so as to decrease the risk of transmission and facilitate remote care by use of Internet of Things-enabled smart devices (Krenitsky et al , 2020) Virtual urgent care screening, COVID-19-related remote monitoring for suspected or confirmed patients, incessant supervision wirelessly to decrease workforce risk and use of personal protective equipment, and the progressive shift of outpatient care to telehealth can be harnessed as a reaction to COVID-19 (Moreno et al , 2020) Telehealth can swiftly leverage massive volumes of providers, enable triage so that frontline medical staff working with COVID-19 patients are not overpowered physically with new presentations, furnish clinical services when emergency rooms are overcrowded or not equipped to satisfy demand, and cut down the risk of communicable diseases","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":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of medical research (New York, N.Y.)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22381/ajmr8120213","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
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 The COVID-19 experience has led to increased awareness of telehealth amongst healthcare providers and patients so as to decrease the risk of transmission and facilitate remote care by use of Internet of Things-enabled smart devices (Krenitsky et al , 2020) Virtual urgent care screening, COVID-19-related remote monitoring for suspected or confirmed patients, incessant supervision wirelessly to decrease workforce risk and use of personal protective equipment, and the progressive shift of outpatient care to telehealth can be harnessed as a reaction to COVID-19 (Moreno et al , 2020) Telehealth can swiftly leverage massive volumes of providers, enable triage so that frontline medical staff working with COVID-19 patients are not overpowered physically with new presentations, furnish clinical services when emergency rooms are overcrowded or not equipped to satisfy demand, and cut down the risk of communicable diseases