Automated surveillance of health care-associated infections.

摘要: 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 measure impact infection initiatives. Conventional definitions, however, complicated, costly apply, prone both intentional unintentional misclassification. Algorithmic analysis electronic data a promising alternative conventional surveillance. Algorithms that seek combinations diagnosis codes, microbiological results, and/or antimicrobial dispensing can infections with sensitivities positive predictive values often match or surpass those The efficiency objectivity these methods make them candidates more manageable meaningful benchmarking within between facilities.