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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 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.
Implemented a Complete Medical Record (a computerized emergency department communication, documentation, passive tracking, and medical records system) in an emergency department and evaluated the use of this technology toward improving patient safety and quality of care.