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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 use mobile health technology to collect patient-reported outcomes after dental procedures to optimize the quality of acute post-operative dental pain management.
This project tested a mobile health application’s impact on reducing readmissions among patients with cirrhosis within 30 days of hospital discharge, and found it to be usable and feasible.
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 developed and tested a text message system to improve medication adherence for African Americans with uncontrolled hypertension.
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.