The confluence of EHR adoption, advances in data science, and intensified pressures to achieve the quadruple aim has provided fertile ground for the development and spread of Learning Health Systems (LHS), which the Institute of Medicine has defined as systems in which ‘science, informatics, incentives, and culture are aligned for continuous improvement and innovation, with best practices seamlessly embedded in the delivery process and new knowledge captured as an integral by-product of the delivery experience.’ Informaticians will need to play a key role in these ecosystems, but many socio-technical barriers may stand in the pathway to success. This panel will showcase the experience of four academic medical centers that have been early developers of LHS. Panelists will describe strategies employed and investments made to overcome these barriers and sustain the success of LHS.
Learning Objective: By the end of this panel session, participants should be able to
i) describe structures, methods, and activities used commonly in learning health systems;
ii) articulate the success factors for functional and sustainable learning-health systems, and
iii) formulate strategies to optimize the set-up of learning-health system initiatives at their local institutions.
Eric Poon (Presenter)
Duke University Health System
Charles Friedman (Presenter)
Michigan University School of Medicine
Philip Payne (Presenter)
Washington University School of Medicine
Michael Pencina (Presenter)
Duke Clinical Research Institute
Kevin Johnson (Presenter)