Search found 9 items
This research took an existing sepsis-related clinical decision support (CDS) and developed, tested, implemented, and validated a knowledge-based artificial intelligence-enhanced sepsis CDS.
This project integrated a validated anxiety-specific screening tool in an existing clinical decision support system and tested it with a randomized feasibility pilot that found the tool did not increase detection of anxiety in pediatric primary care.
This project tested the impact of a training module that teaches clinicians how to best communicate with patients in the presence of an electronic health record and found improvements in provider communication skills, but no impact on patient outcomes.
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 expanded and modified the Child Health Improvement through Computer Automation (CHICA) system to assist pediatricians in identifying and managing four common medical-legal problems that may adversely impact child health, and found initial findings to be inconclusive.
This project evaluated and established the feasibility of CarePartner, a novel intervention designed to improve the effectiveness of transition support for common chronic conditions.
This project developed and tested a text message system to improve medication adherence for African Americans with uncontrolled hypertension.