Search found 21 items
This research prospectively evaluated a machine learning algorithm that identifies candidates for neurologic surgery to control epilepsy.
This project will apply machine learning against a large data set to develop a model to both understand and predict surgical cancellations on individual pediatric patients at two pediatric surgical sites.
This project developed, implemented, and evaluated a program that includes clinical decision support to improve diagnosis of hypertension in children.
This study assessed the usability and impact of inpatient portals on patient experience, engagement, and perceptions of care.
This project compared high and low intensity support for implementation of clinical decision support (CDS) and found that the low intensity support may be sufficient to help community health centers improve their use of CDS over a relatively short time period.
This project established the Center for Pediatric Practice-Based Research and Learning to develop evidence-based practices and improve child health outcomes.
This project developed an emergency care data registry for pediatric patients using electronic health records and assessed change in benchmarks for quality care measures.
This project held an invitation-only conference to examine methodological issues related to the identification and development of outcome measures and their accompanying risk-adjustment models in the electronic health record environment.
This project sought to reduce the use of emergency department services for non-urgent care by improving access to primary care physicians for Medicaid patients via the electronic medical record.
This Centers for Education and Research on Therapeutics-funded project was focused on the improvement of patient safety through the development and refinement of tools for safer medication use.