Jun 12, 2013
Misha Pavel, PhD, is the Program Director in charge of the National Science Foundation’s Smart and Connected Health portfolio, designed to accelerate the development and use of innovative healthcare approaches that are preventive, proactive, evidence-based, person-centered and focused on well-being rather than disease. Concurrently, he has an appointment as a Professor in the Department of Biomedical Engineering, and a joint appointment in the Department of Medical Informatics and Clinical Epidemiology, at Oregon Health and Science University. Prior to his academic career, he was a member of the technical staff at Bell Laboratories, where his research included network analysis and modeling. Misha Pavel is a Senior Member of IEEE.
–> To Learn More and Register, click on 2013 SharpBrains Virtual Summit: September 19-20th, 2013
Synopsis of the Smart and Connected Health Program:
The goal of the Smart and Connected Health (SCH) Program is to accelerate the development and use of innovative approaches that would support the much needed transformation of healthcare from reactive and hospital-centered to preventive, proactive, evidence-based, person-centered and focused on well-being rather than disease. Approaches that partner technology-based solutions with biobehavioral health research are supported by multiple agencies of the federal government including the National Science Foundation (NSF) and the National Institutes of Health (NIH). The purpose of this program is to develop next generation health care solutions and encourage existing and new research communities to focus on breakthrough ideas in a variety of areas of value to health, such as sensor technology, networking, information and machine learning technology, decision support systems, modeling of behavioral and cognitive processes, as well as system and process modeling. Effective solutions must satisfy a multitude of constraints arising from clinical/medical needs, social interactions, cognitive limitations, barriers to behavioral change, heterogeneity of data, semantic mismatch and limitations of current cyberphysical systems. Such solutions demand multidisciplinary teams ready to address technical, behavioral and clinical issues ranging from fundamental science to clinical practice.
Due in large part to advances in high throughput and connective computing, medicine is at the cusp of a sector-wide transformation that — if nurtured through rigorous scientific innovation — promises to accelerate discovery, improve patient outcomes, decrease costs, and address the complexity of such challenging health problems as cancer, heart disease, diabetes and neurological degeneration. Keep reading