This session was presented on December 16, 2025.
Health systems are increasingly expected to deliver high-quality, responsive, and equitable care in the face of complex challenges and rapidly evolving evidence. To meet these demands, systems need to move from episodic improvement efforts toward continuous, real-time learning and adaptation. Learning Health Systems (LHS) offer a robust framework for achieving these goals by continuously and systematically learning from data, research and lived experience, and integrating this learning into practice to improve outcomes.
This session will unpack the foundational elements of Learning Health Systems and explore their potential to drive transformation. Using a real-world example from a mental health and addictions program, we will illustrate how patient-centered outcome data can spark meaningful curiosity at the individual, team, and service levels, and how this curiosity can guide strategic decisions around resource allocation, workforce development, and system redesign. We will share practical insights into what it takes to operationalize a Learning Health System, with a focus on cultivating the culture, capabilities, and infrastructure needed to support learning as a core function of care.
