Computerized detection of nosocomial infections in newborns.

B. H. Rocha, John Christenson, A. Pavia, R. S. Evans, R. M. Gardner

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

Hospital-acquired infections are responsible for an increase in patient mortality and costs. Their detection is essential to permit better infection control. We developed an expert system specifically to detect infections in pediatric patients. The expert system is implemented at LDS Hospital that has a level three newborn intensive care unit and well baby units. We describe how the knowledge base of the expert system was developed, implemented, and validated in a retrospective study. The results of the system were compared to manual reviewer results. The expert system had a sensitivity of 84.5% and specificity of 92.8% in detecting hospital-acquired infections when compared to a physician reviewer. The Cohen's kappa between the expert system and the physician reviewer was 0.62 (p <.001).

Original languageEnglish (US)
Pages (from-to)684-688
Number of pages5
JournalProceedings / the . Annual Symposium on Computer Application [sic] in Medical Care. Symposium on Computer Applications in Medical Care
StatePublished - 1994
Externally publishedYes

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Expert Systems
Cross Infection
Newborn Infant
Physicians
Knowledge Bases
Neonatal Intensive Care Units
Infection Control
Retrospective Studies
Pediatrics
Costs and Cost Analysis
Sensitivity and Specificity
Mortality
Infection

ASJC Scopus subject areas

  • Medicine(all)

Cite this

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