The next generation of health information technology organizes data into large, networked systems to address challenges of U.S. health systems: spiraling costs, poor health outcomes, safety issues, unproductive research enterprises, and failure to implement known clinical best practices. More than simply “Big Data,” these systems are arranged as “learning health systems,” multi-stakeholder federations that gather and analyze data to create useful knowledge that is disseminated to all stakeholders. Harnessing the power of health data for learning strains ethical, legal, and social paradigms for how health information should be collected, stored, accessed, used, and destroyed.
Co-Sponsors: The Brehm Center, University of Michigan Health System; Michigan Institute for Clinical and Health Research; University of Michigan School of Public Health; Center for Bioethics and Social Sciences in Medicine; Healthcare Information and Management Systems Society
