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Search found 21 items
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 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.
This project will use natural language processing and dynamic logic to create a high-fidelity model of risk of death to identify patients with low life expectancy.
This study aimed to improve care transitions for low-income patients with multiple chronic conditions using health information exchange, and found significant reductions in inpatient and emergency department utilization.
This project built an automated intervention that recognized critical imaging results that require additional testing and populated a discharge summary with recommendations, resulting in improved patient followup.
This project developed, implemented, and assessed a patient data collection and clinician feedback system for depression care management in primary care practices, and found improvements in patient medication filling and adherence.
This project evaluated the usability of medication fulfillment data obtained from electronic health records and piloted a clinical decision support tool that alerted physicians to potential hypertensive medication adherence lapses.
The goal of this study was to develop and evaluate electronic health record-based tools to improve diagnosis and treatment of overweight and obesity in primary care.