Applying predictive modeling to improve emergency-room wait times

This research aims to better understand queuing networks that include stochastic, or random, dynamics. This work has some direct applications to real-world challenges, such as solving problems of overcrowding in hospital emergency rooms. This research demonstrates, in the context of some concrete models, that even a very small amount of flexibility can be surprisingly powerful in improving performance, both in terms of queueing delay and system capacity. Read more.

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