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Emergency Department (ED) overcrowding continues to be a public health issueas well as a patient safety issue. The underlying factors leading to EDcrowding are numerous, varied, and complex. Although lack of in-hospital bedsis frequently attributed as the primary reason for crowding, ED's dependencieson other ancillary resources, including imaging, consults, and labs, alsocontribute to crowding. Using retrospective data associated with imaging,including delays, processing time, and the number of image orders, from a largetier 1 trauma center, we developed a discrete event simulation model toidentify the impact of the imaging delays and bundling image orders on patienttime in the ED. Results from sensitivity analysis show that reducing the delaysassociated with imaging and bundling as few as 10% of imaging orders forcertain patients can significantly (p-value < 0.05) reduce the time a patientspends in the ED.

How does Imaging Impact Patient Flow in Emergency Departments?