Ontology highlight
ABSTRACT: Background
Surveillance of health care-associated infections is an essential component of infection prevention programs, but conventional systems are labor intensive and performance dependent.Objective
To develop an automatic surveillance and classification system for health care-associated bloodstream infection (HABSI), and to evaluate its performance by comparing it with a conventional infection control personnel (ICP)-based surveillance system.Methods
We developed a Web-based system that was integrated into the medical information system of a 2200-bed teaching hospital in Taiwan. The system automatically detects and classifies HABSIs.Results
In this study, the number of computer-detected HABSIs correlated closely with the number of HABSIs detected by ICP
SUBMITTER: Tseng YJ
PROVIDER: S-EPMC4705006 | biostudies-literature | 2015 Sep
REPOSITORIES: biostudies-literature