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See Latest ArticlesAutomated Surveillance of Health Care-Associated Infections
Clinical Infectious Diseases, 04/06/09
Klompas M et al. - Health care providers, quality advocates, consumers, and legislators are increasingly focused on the prevention of health care–associated infections. Accurate surveillance is essential to identify areas for improvement and to measure the impact of infection prevention initiatives. Conventional surveillance definitions, however, are complicated, costly to apply, and prone to both intentional and unintentional misclassification. Algorithmic analysis of electronic health data is a promising alternative to conventional surveillance. Algorithms that seek combinations of diagnosis codes, microbiological analysis results, and/or antimicrobial dispensing can identify health care–associated infections with sensitivities and positive predictive values that often match or surpass those of conventional surveillance.
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