Volume 10, Number 9, September 2004

Computer Algorithms To Detect Bloodstream Infections

William E. Trick,* Brandon M. Zagorski,† Jerome I. Tokars,* Michael O. Vernon,† Sharon F. Welbel,†‡§ Mary F. Wisniewski,†‡ Chesley Richards,* and Robert A. Weinstein†‡§
*Centers for Disease Control and Prevention, Atlanta, Georgia, USA; †Chicago Antimicrobial Resistance Project, Chicago, Illinois, USA; ‡Cook County Hospital, Chicago, Illinois, USA; and §Rush Medical College, Chicago, Illinois, USA

Figure 3. Display of the monthly number of hospital-acquired, primary, central-venous catheter–associated bloodstream infections (BSIs) determined by separate methods, and correlation of the computer algorithm and infection control professional (ICP) review to the investigator review, Cook County Hospital, Chicago, Illinois. Computer algorithm r = 0.89, p = 0.02; ICP review r = 0.71, p = 0.11.

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This page last reviewed August 3, 2004

Emerging Infectious Diseases Journal
National Center for Infectious Diseases
Centers for Disease Control and Prevention