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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 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 study assessed the usability and impact of inpatient portals on patient experience, engagement, and perceptions of care.
This project studied the influence of social networks on technology implementation and found that clinicians’ networks influence beliefs and use of the electronic medical records.
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 project used a mixed-method approach to investigate the validity of using electronic health record data for diabetes performance measures.
This project evaluated the Pharmaceutical Safety Tracking (PhaST) system, which monitors medication safety in children and adolescents who are taking antidepressants.
This project evaluated how the implementation of a secure e-mail messaging (e-messaging) system between clinicians and patients affects provider efficiency, utilization of emergency department for medication refills, and patients’ satisfaction.
Implemented and evaluated a community-wide EHR for health care providers in pediatric primary care, school health, specialty care, and emergency medicine who provide care for inner city children with asthma.