InTelMed: Proposed Center for Informatics and Telehealth in Medicine
Attend the kickoff meeting and consider becoming a partner of the NSF-sponsored InTelMed I/UCRC
University of Arizona and University of Pittsburgh are in the process of establishing a National Science Foundation Industry/University Cooperative Research Center, or I/UCRC, on Informatics and Telehealth in Medicine, or InTelMed.
The NSF website describes the scope of the InTelMed center in detail: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1624488
InTelMed will focus on "digital wellness" initially, but will also devise biofeedback-controlled wearable sensor technologies, healthcare data streaming, paired with cloud-based intelligent data analysis -- aka "big data" -- and disease/health status modeling and prediction.
Attendance is requested at the I/UCRC kick-off meeting, which will include NSF leadership, interested industry partners, and faculty and students from the University of Arizona and University of Pittsburgh.
The organization, scope, and capabilities of the InTelMed I/UCRC will be presented at the meeting.
The InTelMed center will be industry-driven via an industrial advisory board that will determine which projects should be developed by faculty and students.
The interaction between industry and the InTelMed Center will be governed by an NSF membership agreement that is available upon request.
Arrive September 18, 2017, for meeting on September 19-20 and depart afternoon of September 20.
University of Arizona, Tucson, Arizona
Lodging provided free of charge, on a first-come, first-served basis, at the Tucson University Park Hotel (phone 520.792.4100; ask for InTelMed room block).
The Center for Informatics and Telehealth in Medicine will devise and deploy biofeedback-controlled devices by integrating wearable sensors, bi-directional data exchange, cloud-based data analysis, health and disease status modeling and prediction, and prescribed intervention/treatment onto human smart service platforms.
From a user perspective, usability, wearability, and appearance are key design factors.
From a technology point of view, high data accuracy and fidelity (i.e., medical-grade data), real-time bi-directional healthcare data streaming, real-time data analysis, and health status prediction are critical components to create successful biofeedback-based products.
Biofeedback-controlled human smart service systems, as pursued by the InTelMed Center, have the potential to improve health and treatment outcome, and, thus, decrease outpatient healthcare costs.
InTelMed Center Director
Professor Wolfgang Fink
University of Arizona
College of Engineering
InTelMed Center Deputy Director
Professor Ron Poropatich
University of Pittsburgh
Center for Military Medicine Research