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Volume 10, Number 9—September 2004
Research

Computer Algorithms To Detect Bloodstream Infections

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

Main Article

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.

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.

Main Article

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Page updated: March 25, 2011
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