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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 will create and evaluate the impact of immunization reminders using information from an electronic health record combined with an immunization information system.
This project assessed the impact of a vaccine information exchange that linked an immunization information system (IIS) to an electronic health record (EHR) and found improvements in under- and over-immunization and immunization record completeness.
This project tested a pediatric voice therapy telehealth system and found that it was feasible to implement and well accepted by children and their families.
This project expanded the use of telemedicine for the management of acute childhood illness into schools, daycare facilities, and after-hours neighborhood settings, and evaluated facilitators and barriers to its implementation.
This project evaluated the Pharmaceutical Safety Tracking (PhaST) system, which monitors medication safety in children and adolescents who are taking antidepressants.
Assessed the impact of a telehealth program on primary care utilization and cost for remote assessment and treatment of ill children in childcare and school sites.