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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 develop and evaluate the impact of the Prevent Diabetes Mellitus Clinical Decision Support on clinical outcomes, healthcare process measures, and associated costs.
This project will develop and disseminate an innovative communication system to identify and mitigate health risks for young African American women before pregnancy as a means of reducing health disparities in birth outcomes.
This project will identify the information needs required to ensure effective care coordination for complex patients through extensive ethnographic assessment and interviews, and employ user-centered design methods to rapidly develop and test tools that address these needs.
This project developed and tested the impact of a virtual patient on the clinical approach of primary care providers at a community health center serving refugee patients.
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.
This project team developed a quantitative decision support system to help clinics balance timeliness of care with continuity of care.
This project developed nine obesity care quality measures and developed and validated the use of an automated method using natural language processing to utilize the measures.
This project deployed new functionality that allowed clinicians to view ‘real time’ measures of the delivery of clinical preventive services and added patient specific alerts and ‘one click’ options to act on missed opportunities for followup care.
This project analyzed the efficacy of using clinical decision support and performance feedback to improve the control of hypertension in patients treated in community health centers.