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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.
Develops a patient Master Visit Registry (MVR), addressing the need for better information sharing among clinical organizations and enhancing their ability to give patients continuous high-quality care when they change providers. The MVR will expand upon an existing patient record-keeping system, while improving local handling and exchange of records.