Abstract
The results of a study and a computer model designed to predict the costs of a potential merger of three hospitals rely on a statistically based cost-prediction model. This model was adapted to reflect several different merger options, and the future costs of the three unmerged hospitals were simulated using a stochastic simulation model.
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