Abstract
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 at intensive care units according to the European Surveillance System HELICS was developed. It was implemented into the information technology landscape of the Vienna General Hospital and is now in routine use.
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Adlassnig, KP., Blacky, A., Koller, W. (2008). Fuzzy-Based Nosocomial Infection Control. In: Forging New Frontiers: Fuzzy Pioneers II. Studies in Fuzziness and Soft Computing, vol 218. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73185-6_16
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DOI: https://doi.org/10.1007/978-3-540-73185-6_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73184-9
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