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This project will use Learning Health System methods to systematically apply U.S. Preventive Services Task Force’s evidence-based recommendations with the goal of advancing individualized precision prevention.
This research developed and evaluated mobile application messages that assisted individuals with hypertension to adhere to a low-sodium diet.
This project developed a diabetes data visualization mobile application for adolescents and found that clinical and contextual data provided greater opportunity for self management and problem solving.
This project tested a reinforcement learning (RL) text messaging system, which tailors and adapts messages to the needs of patients with uncontrolled hypertension to promote medication adherence, and found it to be feasible and adaptive.
This project evaluated and established the feasibility of CarePartner, a novel intervention designed to improve the effectiveness of transition support for common chronic conditions.