This research will implement a personalized and electronically integrated shared clinical decision support system for left ventricular assist devices in patients with advanced heart failure.
The aim of this research is to implement a clinical decision support tool to provide clinicians patient-specific and evidence-based treatment recommendations regarding the recognition and management of high blood pressure and hypertension in children and adolescents.
This research will support the development and testing of two electronic care plan applications and implementation guide for managing persons with chronic kidney disease and at least one additional chronic condition.
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 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.