Data Requirements for Electronic Surveillance of Healthcare-Associated Infections

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Data requirements for electronic surveillance of healthcare-associated infections.

Electronic surveillance for healthcare-associated infections (HAIs) is increasingly widespread. This is driven by multiple factors: a greater burden on hospitals to provide surveillance data to state and national agencies, financial pressures to be more efficient with HAI surveillance, the desire for more objective comparisons between healthcare facilities, and the increasing amount of patient ...

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Electronic surveillance for healthcare-associated central line-associated bloodstream infections outside the intensive care unit.

BACKGROUND Manual surveillance for central line-associated bloodstream infections (CLABSIs) by infection prevention practitioners is time-consuming and often limited to intensive care units (ICUs). An automated surveillance system using existing databases with patient-level variables and microbiology data was investigated. METHODS Patients with a positive blood culture in 4 non-ICU wards at B...

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Automated surveillance for healthcare-associated infections: opportunities for improvement.

Surveillance of healthcare-associated infections is a cornerstone of infection prevention programs, and reporting of infection rates is increasingly required. Traditionally, surveillance is based on manual medical records review; however, this is very labor intensive and vulnerable to misclassification. Existing electronic surveillance systems based on classification algorithms using microbiolo...

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Efficient surveillance for healthcare-associated infections spreading between hospitals.

Early detection of new or novel variants of nosocomial pathogens is a public health priority. We show that, for healthcare-associated infections that spread between hospitals as a result of patient movements, it is possible to design an effective surveillance system based on a relatively small number of sentinel hospitals. We apply recently developed mathematical models to patient admission dat...

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Accuracy of administrative data for surveillance of healthcare-associated infections: a systematic review.

OBJECTIVE Measuring the incidence of healthcare-associated infections (HAI) is of increasing importance in current healthcare delivery systems. Administrative data algorithms, including (combinations of) diagnosis codes, are commonly used to determine the occurrence of HAI, either to support within-hospital surveillance programmes or as free-standing quality indicators. We conducted a systemati...

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ژورنال

عنوان ژورنال: Infection Control & Hospital Epidemiology

سال: 2014

ISSN: 0899-823X,1559-6834

DOI: 10.1086/677623