IEEE/ACM CHASE is a leading international conference in the field of connected health. It aims at bringing together researchers worldwide working in the smart and connected health area to exchange innovative ideas and develop collaborations. Connected health can be defined as the use of Internet, sensing, communications and intelligent techniques in support of health related Applications, Systems and Engineering. Connected health brings together multidisciplinary technologies to provide preventive or remote treatments by utilizing digital heath information structure such as body sensor networks and intelligent techniques such as from Data to Knowledge to Decisions, while at the same time connecting patient and caregivers seamlessly in the loop of the healthcare ecosystem. Future Connected health will be realized by providing rich medical information to each individual through replacing infrequent, clinic-based measurements with unobtrusive, continuous sensing, monitoring and assessment. Connected health technologies will enable preventive health and personalized medicine and may significantly reduce healthcare costs. However, a number of challenges still need to be addressed to enable connected health worldwide. Building upon the success of CHASE 2016, CHASE 2017 will be held in Philadelphia on July 17-19, 2017. Prospective authors are cordially invited to submit their original contributions covering completed or ongoing work related to the connected health area. IEEE CHASE positions itself as a venue for science and engineering researchers to publish their research and discovery, including those have potential to enable innovations but not yet ready for clinical study. The topics include but are not limited to:Applications
Systems
Engineering Technologies
Keynote:
Director of the NIH Office of Behavioral and Social Sciences Research
Associate Director of NIH for Behavioral and Social Sciences in August, 2015
Emergency Medical Services and Preparedness Director
Division of Family Health and Preparedness, Utah Department of Health [UDOH], State of Utah
Panelists:
Panel: Internet of Things in Health and Medicine: Challenges and Opportunities
Medical Director of Biomedical Engineering for Partners HealthCare System
Massachusetts General Hospital
Professor in the Electrical and Computer Engineering Department
University of Missouris
Program Director, Smart and Connected Health, NSF
Health Scientist Administrator, NIH Office of Behavioral and Social Sciences Research (OBSSR)
Tutorial: Deep Learning
Date: July 17, 2-5pm
Material: Deep Learning in Health Informatics
Division of Health Informatics
Department of Healthcare Policy and Research
Weill Cornell Medical School
Cornell University
