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This research will create patient-centered, interoperable, shareable clinical decision support tools that will support providers and patients in making patient-centered decisions about management of hypertension.
This research will estimate the cost-effectiveness of pharmacogenomics clinical decision support alerts and create a tool that provides estimates of the value of developing and implementing them.
This research aims to create, develop, and implement a decision support tool that clarifies the risk tradeoffs for anticoagulation in atrial fibrillation.
This research will use a clinical decision support tool to identify patients at high risk for type 2 diabetes and text message these patients, offering them in-clinic hemoglobin A1c testing.
This project will redesign approaches for collecting and using allergy information with the goal of improving healthcare quality and safety, including completeness and accuracy of allergy data.