Healthcare-associated infection surveillance and bedside alerts.
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.
Section for Medical Expert and Knowledge-Based Systems, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Austria.
Klaus-Peter
KP
Adlassnig
Division of Pediatric Neonatology, Intensive Care, and Neuropediatrics, Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Austria.
Angelika
A
Berger
Clinical Institute of Hospital Hygiene, Medical University of Vienna and Vienna General Hospital, Austria.
Walter
W
Koller
Clinical Institute of Hospital Hygiene, Medical University of Vienna and Vienna General Hospital, Austria.
Alexander
A
Blacky
Medexter Healthcare GmbH, Vienna, Austria.
Harald
H
Mandl
Division of Pediatric Neonatology, Intensive Care, and Neuropediatrics, Department of Pediatrics and Adolescent Medicine, Medical University of Vienna, Austria.
Lukas
L
Unterasinger
Section for Medical Expert and Knowledge-Based Systems, Center for Medical Statistics, Informatics, and Intelligent Systems, Medical University of Vienna, Austria.
Andrea
A
Rappelsberger
D001185:Artificial Intelligence; D001317:Austria; D003428:Cross Infection / Q000175:diagnosis / Q000453:epidemiology* / Q000517:prevention & control*; D057225:Data Mining / Q000379:methods / Q000706:statistics & numerical data*; D020000:Decision Support Systems, Clinical; D042241:Early Diagnosis; D057286:Electronic Health Records / Q000145:classification; D005260:Female; D006801:Humans; D007231:Infant, Newborn; D008297:Male; D015997:Neonatal Screening; D019095:Point-of-Care Systems; D011159:Population Surveillance / Q000379:methods*; D017010:Reminder Systems; D012984:Software; D014481:United States / Q000453:epidemiology; D014584:User-Computer Interface