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Probability-based models are developed using information from a variety of datasets to
predict daily surgical volumes weeks in advance. The quest wasmotivated by the need to
make real-time adjustments to staff capacity and reallocation of the operating room block
time based on predicted future demand.We test the notion thatmore data always leads to
better predictions.