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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 developed and tested visual displays of laboratory test results and found that designs informed by patient input can make data more intuitive and meaningful to patients.
This project evaluated and established the feasibility of CarePartner, a novel intervention designed to improve the effectiveness of transition support for common chronic conditions.