About Center for Learning Health System Sciences

To create and foster rapid, iterative learning within Minnesota's healthcare systems where evidence informs practice and practice leveraging resultant data generates new knowledge.

A Learning Health System (LHS) is a virtuous cycle of data, knowledge, and practice driven by culture, incentives, and leadership. 

The Institute of Medicine (National Academy of Medicine) describes a Learning Health System as:

“A system in which science, informatics, incentives, and culture are aligned for continuous improvement and innovation, with best practices seamlessly embedded in the care process, patients and families as active participants in all elements, and new knowledge is captured as an integral by-product of the care experience.”  

• Build a research and education LHS program of distinction
• Decrease the time for science to successfully make it into patient care and into direct population health action
• Seamlessly integrate research, care delivery, and continuous improvement to create new knowledge and directly improve care

Healthcare Innovation Program for Implementation & Evaluation (HI-PIE)
Define optimal methods for studying care. HI-PIE includes the Rapid Prospective Evaluation unit and a partnership with the Minnesota Evidence-Based Practice Center in the Evidence Synthesis unit. 

Program for Clinical AI (P4AI)
Gain new knowledge around clinical AI and its effective use including best practices along its full lifecycle.

Digital Technology Innovation Program (DTI)
Discover methods to design, deploy & sustain innovative digital solutions.

Innovative Methods & Data Science Program (IMDS) 
Develop novel data science methods to rigorously quantify associations between novel, multimodal big data and health outcomes.

Practice-Based Research Network (PBRN)
Platform for community-engaged and facilitated practice-based research.