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

Erik R. Dubberke, Humaa A. Nyazee, Deborah S. Yokoe, Jeanmarie Mayer, Kurt B. Stevenson, Julie E. Mangino, Yosef M. Khan, Victoria J. Fraser

Research output: Contribution to journalArticlepeer-review

12 Scopus citations

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.

Original languageEnglish
Pages (from-to)305-308
Number of pages4
JournalInfection Control and Hospital Epidemiology
Volume33
Issue number3
DOIs
StatePublished - Mar 2012

Fingerprint

Dive into the research topics of 'Implementing automated surveillance for tracking Clostridium difficile infection at multiple healthcare facilities'. Together they form a unique fingerprint.

Cite this