Search found 45 items
This research aims to determine the feasibility, acceptability, and outcomes associated with the use of Cloud Care, a cloud-based multidisciplinary care plan for children with medical complexity.
This research study addressed the overuse of blood cultures to diagnose sepsis by developing an electronic health record-embedded clinical decision support tool that draws upon the strengths of analytical and naturalistic decision making.
This project will evaluate and compare different tools within electronic health records to assist pediatric primary care clinicians with providing higher quality childhood obesity care to help slow weight gain in children with obesity.
This research applied machine learning to develop a model predicting surgical cancellations among pediatric patients, and found the feasibility in using these algorithms as a cost-effective quality-improvement measure.
This project will enhance an existing Web-based portal, myADHDportal.com, to integrate behavioral tools alongside existing medication management tools for attention deficit hyperactivity disorder (ADHD).
This project developed, implemented, and evaluated a program that includes clinical decision support to improve diagnosis of hypertension in children.
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 research created and evaluated the impact of immunization reminders using information from an electronic health record combined with an immunization information system.
This project seeks to develop an understanding of the cognitive work of clinician teams and family members involved in pediatric trauma care transitions in order to design usable and useful health information technologies.
This research developed a set of mHealth tools capable of collecting health behavior information with the hope that providing clinical feedback on these behaviors will reduce obesity and improve health behaviors among at-risk families.