Implementing Automated Surveillance for Tracking Clostridium difficile Infection at Multiple Healthcare Facilities

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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.

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