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Advancing Digital Health in MHS
With wins of Innovation and Disruptive Tech awards under their belt, the Science Director at TATRC discusses the innovative approaches they’ve made with and the future of NETCCN, an evolving network of clinical care teams that provide expert medical advice to anyone who needs it, wherever they may be, using network enabled mobile devices such as – cell phones, tablets, computers. Fundamentally,
Matt Quinn
Matt Quinn is Science Director for the Army’s Telemedicine & Advanced Technology Research Center (TATRC) and leads efforts by TATRC’s research & development teams to forge the future by fusing data, humans, and machines into solutions that optimize Warfighter performance and casualty care. Matt has over 20 years of experience in health technology across multiple federal agencies and the private sector. Matt testified before the Senate and the House, been recognized multiple times with the FedHealthIT100 award, received the HHS Distinguished Service Award, the highest honor granted by the department, the Army Meritorious Civilian Service Medal for his work in launching the National Emergency Tele-Critical Care Network (NETCCN) and the first ever National Health IT Collaborative for the Underserved "Champion of Diversity" award. He earned an engineering degree from the United States Military Academy at West Point and an MBA from Colorado State University
TATRC
Advanced technologies including autonomous systems powered by artificial intelligence are projected to be at the forefront of the Multi-Domain Operations battlefield of 2035. TATRC provides one of the only places where the fusion of data, humans, and machines is studied as new technologies are in development, with close attention paid to human-machine teaming during casualty care. The research and technology development at TATRC rapidly produces solutions for military medicine that optimize warfighter performance through health optimization and optimize casualty care by maximizing capability, and thus medical system capacity, at the point of care by leveraging computer-machine-human teams.
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By Mary Ann BrownWith wins of Innovation and Disruptive Tech awards under their belt, the Science Director at TATRC discusses the innovative approaches they’ve made with and the future of NETCCN, an evolving network of clinical care teams that provide expert medical advice to anyone who needs it, wherever they may be, using network enabled mobile devices such as – cell phones, tablets, computers. Fundamentally,
Matt Quinn
Matt Quinn is Science Director for the Army’s Telemedicine & Advanced Technology Research Center (TATRC) and leads efforts by TATRC’s research & development teams to forge the future by fusing data, humans, and machines into solutions that optimize Warfighter performance and casualty care. Matt has over 20 years of experience in health technology across multiple federal agencies and the private sector. Matt testified before the Senate and the House, been recognized multiple times with the FedHealthIT100 award, received the HHS Distinguished Service Award, the highest honor granted by the department, the Army Meritorious Civilian Service Medal for his work in launching the National Emergency Tele-Critical Care Network (NETCCN) and the first ever National Health IT Collaborative for the Underserved "Champion of Diversity" award. He earned an engineering degree from the United States Military Academy at West Point and an MBA from Colorado State University
TATRC
Advanced technologies including autonomous systems powered by artificial intelligence are projected to be at the forefront of the Multi-Domain Operations battlefield of 2035. TATRC provides one of the only places where the fusion of data, humans, and machines is studied as new technologies are in development, with close attention paid to human-machine teaming during casualty care. The research and technology development at TATRC rapidly produces solutions for military medicine that optimize warfighter performance through health optimization and optimize casualty care by maximizing capability, and thus medical system capacity, at the point of care by leveraging computer-machine-human teams.