Learning & Knowledge Systems Research

Accelerating Knowledge to Practice

We collect vast amounts of health care data, so how do we put it to better, more efficient use? Our multidisciplinary faculty and research staff specialize in behavioral and social science disciplines, including, but not restricted to: education, psychology, social work, sociology, anthropology, informatics, and linguistics. Our collective goal is to build and study learning health systems, with extensive experience starting numerous learning health system initiatives at local and national levels.

People + technology + policy = infrastructure

Learning health systems need infrastructure to thrive. Infrastructure can help us:

  • Discover new knowledge.
  • Discover the best way to implement knowledge.
  • Make this process routine.

See examples of how DLHS is making learning health systems work. 

Our research is focused on the continuous improvement of health in large scale learning systems by asking fundamental questions related to the creation, operation and sustainability of learning systems that support health care, public health and biomedical research, including:

  • Data science and predictive modeling
  • Knowledge management and infrastructure, including the Knowledge Grid
  • Implementation science and health behavior change
  • Ethical, legal, social, and policy issues
  • Health care quality improvement

We coordinate a pan-university Learning Health System initiative, the LHS Collaboratory, which aims to advance research and development of learning health systems at the University of Michigan. Our faculty also participate on coordination teams for numerous regional and national learning health system events.