This symposium will promote dialogue and contribute to a research agenda on how learning health system organizers should engage the ethical, legal and social implications of this work.
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.
CBSSM is a co-sponsor, along with the Brehm Center, the Michigan Institute for Clinical and Health Research (MICHR), the School of Public Health, and Healthcare Information and Management Systems Society (HIMSS).