Hospitals are plagued with a multitude of logistical challenges amplified by a time-sensitive andhigh intensity environment. These conditions have resulted in burnout among both doctors andnurses as they work tirelessly to provide critical care to patients in need. We propose a new machinelearning-powered matching mechanism that manages the surgeon-nurse-patient assignment processin an efficient way that saves time and energy for hospitals, enabling them to focus almost entirelyon delivering effective care. Through this design, we show how incorporating artificial intelligenceinto management systems enables teams of all sizes to meaningfully coordinate in highly chaoticand complex environments.
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