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We describe how discrete event simulation and optimization methods were used in combination to improve patient flow within a large cancer center. A discrete event simulation model is presented for predicting patient waiting time and resource utilization throughout various stages in the cancer care process, including the outpatient clinic, radiology,(More)
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