This project will develop an early-warning system for hyperglycemia events, using a database of historical inpatient data to develop a machine learning model to identify patients at risk of hyperglycemia and a reinforcement learning model to recommend individualized treatment strategies. The project clinical team will review and provide feedback on model performance to work toward developing a DUHS protocol for insulin.