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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 develop an information technology and implementation strategy for using patient-reported outcomes in primary care settings caring for diverse patients with multiple chronic conditions.
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.
The project is adapting and scaling a technology-enabled practice model for asthma in a primary care setting, then evaluating its impact on patient-reported quality of life and utilization.
This project will design, implement, and evaluate a comprehensive set of tools in an electronic health record (EHR) to support improved intimate partner violence care.
This project will develop and evaluate the impact of the Prevent Diabetes Mellitus Clinical Decision Support on clinical outcomes, healthcare process measures, and associated costs.
This project proposes a novel proactive system to reduce alert burden and thereby increase attention to situations in which patient safety is at risk.
This research will explore whether providing clinicians with contextual information at the point of care through the use of clinical decision support can reduce contextual errors, improve patient healthcare outcomes, and reduce misuse and overuse of medical services.
This project will evaluate and compare different tools within electronic health records to assist pediatric primary care clinicians with providing higher quality childhood obesity care to help slow weight gain in children with obesity.
This project will develop decision support tools that integrate with electronic health records to increase the quality and effectiveness of chronic pain care.