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This research will develop, implement, disseminate, and evaluate reusable, shareable clinical decision support for both patients and clinicians in the area of chronic pain management.
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 study will evaluate the effectiveness of patient photographs displayed in electronic health record systems for preventing wrong-patient errors.
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 pilot tested and evaluated a smoking cessation clinical decision support system, finding it was feasible to implement, easy to use and helpful for patient care, and led to an increase in patient quit attempts.
This project sought to identify existing, and create new, clinical quality of care metrics able to be reliably retrieved from electronic systems, such as electronic health records and health information exchanges.
The goal of this project was to promote increased adherence to evidence-based pharmacotherapy guidelines through both traditional clinic-based and newer models of care.