Literature DB >> 24825687

Healthcare-associated infection surveillance and bedside alerts.

Klaus-Peter Adlassnig1, Angelika Berger2, Walter Koller3, Alexander Blacky3, Harald Mandl4, Lukas Unterasinger2, Andrea Rappelsberger1.   

Abstract

Expectations and requirements concerning the identification and surveillance of healthcare-associated infections (HAIs) are increasing, calling for differentiated automated approaches. In an attempt to bridge the "definition swamp" of these infections and serve the needs of different users, we improved the monitoring of nosocomial infections (MONI) software to create better surveillance reports according to consented national and international definitions, as well as produce infection overviews on complex clinical matters including alerts for the clinician's ward and bedside work. MONI contains and processes surveillance definitions for intensive-care-unit-acquired infections from the European Centre for Disease Prevention and Control, Sweden, as well as the Centers for Disease Control and Prevention, USA. The latest release of MONI also includes KISS criteria of the German National Reference Center for Surveillance of Nosocomial Infections. In addition to these "classic" surveillance criteria, clinical alert criteria--which are similar but not identical to the surveillance criteria--were established together with intensivists. This is an important step to support both infection control and clinical personnel; and--last but not least--to foster co-evolution of the two groups of definitions: surveillance and alerts.

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Year:  2014        PMID: 24825687

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  2 in total

Review 1.  Data elements and validation methods used for electronic surveillance of health care-associated infections: a systematic review.

Authors:  Kenrick D Cato; Bevin Cohen; Elaine Larson
Journal:  Am J Infect Control       Date:  2015-06       Impact factor: 2.918

2.  Increased nurse workload is associated with bloodstream infections in very low birth weight infants.

Authors:  Erik Küng; Thomas Waldhör; Judith Rittenschober-Böhm; Angelika Berger; Lukas Wisgrill
Journal:  Sci Rep       Date:  2019-04-19       Impact factor: 4.379

  2 in total

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