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Nosocomial or hospital-acquired infections (NIs) are a frequent complication in hospitalized patients. The growing availability of computerized patient records in hospitals permits automated identification and extended monitoring for signs of NIs. A fuzzy- and knowledge-based system to identify and monitor NIs at intensive care units (ICUs) according to the(More)
This study assessed the effectiveness of a fully automated surveillance system for the detection of healthcare-associated infections (HCAIs) in intensive care units. Manual ward surveillance (MS) and electronic surveillance (ES) were performed for two intensive care units of the Vienna General Hospital. All patients admitted for a period longer than 48 h(More)
—Automated identification, monitoring, and reporting of healthcare-associated infections in intensive care units by connecting intensive-care medical information, laboratory information, and Arden-Syntax-based clinical decision support systems was proven feasible and operable. Raw clinical and laboratory data of patients are transferred to the system's data(More)
Central venous catheters play an important role in patient care in intensive care units (ICUs), but their use comes at the risk of catheter-related infections (CRIs). Electronic surveillance systems can detect CRIs more accurately than manual surveillance, but these systems often omit patients that do not exhibit all infection signs to their full degree,(More)
Surveillance of healthcare-associated infections (HAI) is a valuable measure to decrease infection rates. Across Europe, inter-country comparisons of HAI rates seem limited because some countries use US definitions from the US Centers for Disease Control and Prevention (CDC/NHSN) while other countries use European definitions from the Hospitals in Europe(More)
Top healthcare and medicine depends on the implementation of best practice methods, which include surveillance of and benchmarking with defined quality indicators. Using healthcare-associated infection (HAI) surveillance as an example, we put forward arguments in favour of automated intelligent information and communication technologies. Assessment studies(More)
BACKGROUND The outcome of patients with bacteraemia is influenced by the initial selection of adequate antimicrobial therapy. The objective of our study was to clarify the influence of different crude data correction methods on a) microbial spectrum and ranking of pathogens, and b) cumulative antimicrobial susceptibility pattern of blood culture isolates(More)
Nosocomial, or hospital-acquired, infections (NIs) are a frequent complication affecting hospitalized patients. The growing availability of computerized patient records in hospitals allows automated identification and extended monitoring of the signs of NI for the purpose of reducing NI rates. A fuzzy-and knowledge-based system to identify and monitor NIs(More)
In biomedical computing the need for visualization methods of the human vascular system has been triggered by recent advances in image acquisition technology. In this paper we describe a number of approaches for the three-dimensional display of vessels from volumetric datasets. Our approaches are based on the analysis of the deeciencies of the Maximum(More)