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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 developed and validated a new disability diagnostic tool that allowed emergency department physicians to connect patients to better healthcare referrals and proper long-term care services.
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.