Computer Algorithms To Detect Bloodstream Infections

Computer Algorithms To Detect Bloodstream Infections

We compared manual and computer-assisted bloodstream infection surveillance for adult inpatients at two hospitals. We identified hospital-acquired, primary, central-venous catheter (CVC)-associated bloodstream infections by using five methods: retrospective, manual record review by investigators; pr...

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Bibliographic Details
Main Authors: William E. Trick, Brandon M. Zagorski, Jerome I. Tokars, Michael O. Vernon, Sharon F. Welbel, Mary F. Wisniewski, Chesley Richards, Robert A. Weinstein
Format: Article
Language:English
Published: Centers for Disease Control and Prevention 2004-09-01
Series:Emerging Infectious Diseases
Subjects:
surveillance
bloodstream infection
information system
computer data processing
algorithms
infection control
Online Access:https://wwwnc.cdc.gov/eid/article/10/9/03-0978_article

Internet

https://wwwnc.cdc.gov/eid/article/10/9/03-0978_article

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