orldwide, there is a commitment to ensure that all patients with stroke or transient ischemic attack (TIA) have access to evidence-based therapies which optimize their survival and recovery. The learning health system 1 provides a framework (Figure) to ensure all components (eg, evidence, data, and implementation) are aligned for continuous quality improvement (QI). This article summarizes advances made in stroke QI within the last year.
LEARNING HEALTH SYSTEMSThere is increasing interest in the potential for learning health systems to improve quality in health care. The learning health system (Figure ) is one in which science (evidence), informatics (data), incentives (benchmarking), and culture (clinicians) are aligned for continuous improvement with best practices embedded in the delivery process, and new knowledge is captured as important parts of the system. A cycle in which data are collected and analyzed to address a question and then fed-back into the health system drives QI. This aligns with the plan, do, study, act model of QI. In recent published evidence, the learning health system approach to improving quality of care has been deployed among patients with TIA. 2,3 The learning health system integrates auditand-feedback which has been shown to be an integral part of QI to support teams of clinicians in the use of their performance data to improve care. 4