title: Leveraging health informatics to foster a smart systems response to health disparities and health equity challenges.
abstract: Informaticians are challenged to design health information technology (IT) solutions for complex problems, such as health disparities, but are achieving mixed results in demonstrating a direct impact on health outcomes. This presentation of collective intelligence and the corresponding terms of smart health, knowledge ecosystem, enhanced health disparities informatics capacities, knowledge exchange, big-data, and situational awareness are a means of demonstrating the complex challenges informatics professionals face in trying to model, measure, and manage an intelligent and smart systems response to health disparities. A critical piece in our understanding of collective intelligence for public and population health rests in our understanding of public and population health as a living and evolving network of individuals, organizations, and resources. This discussion represents a step in advancing the conversation of what a smart response to health disparities should represent and how informatics can drive the design of intelligent systems to assist in eliminating health disparities and achieving health equity.
authors.affiliation: University of North Carolina, The Gillings School of Global Public Health, 1101-C McGavran-Greenberg Bldg., CB 7411, Chapel Hill, NC 27599-7411, United States. Electronic address: tcarney@unc.edu.
authors.forename: Timothy Jay
authors.initials: TJ
authors.lastname: Carney
authors.affiliation: University of North Carolina, The Gillings School of Global Public Health, Department of Health Behavior, 302 Rosenau Hall, CB #7440, Chapel Hill, NC 27599-7411, United States. Electronic address: akong2@live.unc.edu.
authors.forename: Amanda Y
authors.initials: AY
authors.lastname: Kong
mesh_terms: D000069576:Health Equity; D006801:Humans; D008490:Medical Informatics
keywords: Health disparities; Health inequities; Knowledge exchange; Learning health system; Population health; Smart health; Technology assessment