Download the 2018 Year in Review Report (PDF, 3.98 MB)

Learning Health Systems—Applying Data and Evidence to Improve Patient Care

Health systems that effectively apply data and evidence to improve patient outcomes and care are called learning health systems (LHSs). Gathering evidence on how best to utilize health IT to generate, integrate, and synthesize disparate data is a critical step toward supporting LHSs that continuously improve patient outcomes and care. AHRQ’s health IT program explores how health IT would best support LHSs, particularly in ambulatory care settings, including:

Dr. Charles Friedman from the University of Michigan and researchers from the Cleveland Clinic are using LHS methods to develop an application integrated within an EHR that is capable of automatically personalizing and prioritizing preventive measures for an individual using U.S. Preventive Services Task Force evidence-based recommendations to improve health.

Read Dr. Friedman's Research Profile.