Implementing automated surveillance for tracking Clostridium difficile infection at multiple healthcare facilities

Infect Control Hosp Epidemiol. 2012 Mar;33(3):305-8. doi: 10.1086/664052. Epub 2012 Jan 19.

Abstract

Automated surveillance using electronically available data has been found to be accurate and save time. An automated Clostridium difficile infection (CDI) surveillance algorithm was validated at 4 Centers for Disease Control and Prevention Epicenter hospitals. Electronic surveillance was highly sensitive, specific, and showed good to excellent agreement for hospital-onset; community-onset, study facility-associated; indeterminate; and recurrent CDI.

Publication types

  • Multicenter Study
  • Research Support, N.I.H., Extramural
  • Research Support, U.S. Gov't, P.H.S.
  • Validation Study

MeSH terms

  • Adolescent
  • Adult
  • Algorithms
  • Automation / methods
  • Centers for Disease Control and Prevention, U.S.
  • Clostridioides difficile / isolation & purification
  • Cross Infection / epidemiology*
  • Cross Infection / microbiology
  • Electronic Health Records
  • Enterocolitis, Pseudomembranous / diagnosis
  • Enterocolitis, Pseudomembranous / epidemiology*
  • Feces / microbiology
  • Health Facilities
  • Humans
  • Medical Records Systems, Computerized*
  • Middle Aged
  • Sensitivity and Specificity
  • Sentinel Surveillance*
  • United States / epidemiology
  • Young Adult