High-quality medical care requires implementing evidence-based best practices, with continued monitoring to improve performance. Implementation science is beginning to identify approaches to developing, implementing, and evaluating quality improvement strategies across health care systems that lead to good outcomes for patients. Health information technology has much to contribute to quality improvement for hypertension, particularly as part of multidimensional strategies for improved care. Clinical reminders closely aligned with organizational commitment to quality improvement may be one component of a successful strategy for improving blood pressure control. The ATHENA-Hypertension (Assessment and Treatment of Hypertension: Evidence-based Automation) system is an example of more complex clinical decision support. It is feasible to implement and deploy innovative health information technologies for clinical decision support with features such as clinical data visualizations and evidence to support specific recommendations. Further study is needed to determine the optimal contexts for such systems and their impact on patient outcomes.