In this project, a clinical decision support tool was developed for Otitis Media, and then studied in a cluster randomized controlled trial to evaluate its impact on the quality of care of Otitis Media.
This project designed and developed a clinical decision support tool called VisualDecisionLinc (VDL) to aid in the initial treatment strategies for major depressive disorder.
This project designed and pilot tested a dashboard that synthesizes patient data from a registry and found that it decreased the average monthly visit no-show rate.
The project team developed automated methods for identifying relevant new information versus redundant information in electronic health record clinical notes.
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 enhanced patient notification of test results for older adults by adding verbal, graphic, or visual enhancements to improve patient comprehension of risk.
This research used a human-centered design approach to understand the cognitive work of clinical teams involved in pediatric trauma care transitions that informed the development of two prototypes for digital healthcare solutions that support clinicians caring for pediatric trauma patients.
This project designed and conducted a usability evaluation of dashboards that provide feedback to home care nurses to improve the care of patients with chronic heart failure, and found that the dashboard prototype had high usability and was evaluated positively by users.
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.
The research team designed and tested a data visualization tool of both home- and clinic-derived blood pressure data to aid patients and physicians to better understand hypertension control and inform shared treatment decisions.
