The COVID-19 Healthcare Coalition Telehealth Impact Study

X. C. Francis
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引用次数: 2

Abstract

Obtain a detailed perspective from the principal investigator of this landmark telehealth study paving the way for understanding gaps and to allow telehealth best practices to emerge, creating a more effective and resilient system of care delivery in the U.S. The COVID-19 Telehealth Impact Study was designed to describe the natural experiment of telehealth adoption during the pandemic. Using a large claims data stream and surveys of providers and patients, studying all 50 states to inform healthcare leaders. Biography Francis “FX” Campion serves as Principal Lead for Digital Health at MITRE with work focused on AI for healthcare, FHIR interoperability and the use of synthetic data for clinical modelling. He is a co-principal investigator for the COVID-19 Telehealth Impact Study. He serves as clinical consultant to the U.S. Government for the Federal COVID Response for Therapeutics. He is a practicing internal medicine physician at Atrius Health in Boston. Prior to work at MITRE he served as Senior Clinical Informaticist at IBM Watson Health where his team built machine learning and natural language processing applications for care of patients with diabetes and heart failure. Prior to that he served as the Chief Medical Officer for Ayasdi providing AI solutions for providers and payers. There he co-authored the book, “Machine Intelligence for Healthcare.”
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COVID-19医疗保健联盟远程医疗影响研究
从这项具有里程碑意义的远程医疗研究的首席研究员那里获得详细的观点,为理解差距铺平道路,并允许远程医疗最佳实践出现,在美国创建一个更有效和更有弹性的医疗服务系统。2019冠状病毒病远程医疗影响研究旨在描述大流行期间采用远程医疗的自然实验。使用大型索赔数据流和对提供者和患者的调查,研究所有50个州,以告知医疗保健领导者。Francis“FX”Campion是MITRE数字健康部门的首席主管,他的工作重点是医疗保健领域的人工智能、FHIR互操作性和临床建模合成数据的使用。他是2019冠状病毒病远程医疗影响研究的联合首席研究员。他担任美国政府联邦COVID应对疗法的临床顾问。他是波士顿Atrius Health的执业内科医生。在MITRE工作之前,他曾担任IBM Watson Health的高级临床信息学家,他的团队为糖尿病和心力衰竭患者构建了机器学习和自然语言处理应用程序。在此之前,他担任Ayasdi的首席医疗官,为供应商和付款人提供人工智能解决方案。在那里,他与人合著了《医疗保健领域的机器智能》一书。
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