Learning health systems leverage routinely collected data and additional sources of evidence to generate knowledge, and then apply this knowledge to practice with the goal of improving equitable outcomes. In the evolving landscape of child and youth mental health, learning health systems have the potential to transform care.
This session will explore how the concept of a learning health system has been implemented across two centers in Canada, describing practical examples at the point of care and system planning level.
At the point of care, we will discuss the use of measurement-based care as a method of using data collaboratively with clients to support true person-centered care planning and care coordination. At the level of program improvement, we will explore how to use data to support decision making to optimize service flow and align capacity and demands in a resource constrained system.
Through these real-world examples, presenters will highlight what has worked, what hasn’t, and the lessons learned in implementing learning health systems in diverse clinical settings.
The session will conclude with an interactive panel discussion where delegates can share perspectives on the future of learning health systems in child and youth mental health. Attendees will gain valuable insights into how embedding data into decision making can lead to improved outcomes and a more responsive mental health system.
