智能远程医疗诊断系统、生物医学大数据和远程医疗门诊监测在COVID-19筛查、检测和治疗中的应用

Kenneth Campbell
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引用次数: 1

摘要

利用最近的研究成果,包括智能远程医疗诊断系统、生物医学大数据和远程医疗门诊监测在covid - 19筛查、测试和治疗中的应用,并利用埃森哲、Amwell、布鲁金斯学会、GlobalWebIndex、毕马威、普华永道、洛克菲勒基金会、Syneos Health和美国国际开发署收集的数据来构建我的论点,我对远程医疗和远程保健技术在住院和门诊视频访问中的应用进行了分析和估计,并在适当的时候对完成调查的汇编数据进行了描述性统计。4调查方法和材料。访谈是在线进行的,数据由五个变量(年龄、种族/民族、性别、教育程度、和地理区域)使用人口普查局的美国社区调查可靠和准确地反映美国研究参与者的人口构成,明确告知他们在任何时候选择退出研究的自由,而无需提供这样做的理由。结果和讨论随着COVID-19确诊患者和无症状感染患者数量的增加,通过推进远程医疗,医务人员受到保护,不会接触这种传染性病毒,而个人防护设备在出现缺位时可以保留(Rosen等人,2020年)。集成在电子健康记录中的家庭监测系统使一线医务人员能够利用报告的结果指标,远程登记、分诊和监测COVID-19患者
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Smart Telemedicine Diagnosis Systems, Biomedical Big Data, and Telehealth Outpatient Monitoring in COVID-19 Screening, Testing, and Treatment
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
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