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AMIA Annu Symp Proc
December 2004
Center for Biomedical Informatics, University of Pittsburgh, PA and University of Utah and Intermountain HealthCare, Salt Lake City, UT, USA.
We conducted a retrospective study to ascertain the potential of free-text chief complaints collected in pediatric emergency departments to serve as surveillance data for early detection of outbreaks. We determined that automatically coded chief complaint data provide a signal that reflects outbreaks in a population of children less than five years of age. Using the Exponentially Weighted Moving Average (EWMA) detection algorithm, we measured the timeliness, sensitivity, and specificity of free-text chief complaints for predicting outbreaks of pediatric respiratory and gastrointestinal illness.
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