Abstract
Abstract : Health care administrators face numerous challenges in their effort to deliver high quality, cost effective care. These challenges have merged together to create the additional problem of emergency department (ED) overcrowding, a new problem for administrators and the health care industry. The Johns Hopkins Hospital is just one of many hospitals experiencing ED overcrowding. The purpose of this study was to identify and analyze different factors that may affect ED overcrowding and develop an effective statistical model for predicting future occurrences of ED overcrowding and developan effective statistical model for predicting future occurrances of ED overcrowding. The predictive full model is a statistically significant model with a R2 of .683 with F(46,81) = 3.802, P<.001. This was an initial attempt at developing a predictive model for ED overcrowding. It is clear that a more sophisticated model is needed to identify key trigger points and provide a better tool for predicting when ED overcrowding will occur. The analysis shows that occupancy rate definitely influences whether or not an institution experiences ED overcrowding.
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