• AMIA Annu Symp Proc · Jan 2007

    Visualizing temporal patterns of demand, throughput and crowding in an emergency department.

    • Alan Calvitti and Nathan Hoot.
    • School of Medicine,University of California, San Diego, La Jolla, CA, USA.
    • AMIA Annu Symp Proc. 2007 Jan 1:888.

    AbstractEmergency department (ED) operational data were calculated at 10-minute intervals throughout 2006 (n = 52561) in the adult ED of an academic medical center. Several operational parameters per observation were measured to better understand temporal patterns of input, throughput, and output of medical services. This may allow for improvement of predictive models of overcrowding. Visualization of this dataset is structured by a calendar template, facilitating discovery of cyclic patterns at diurnal, weekly, and monthly scales.

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