Electronic surveillance of healthcare-associated infections with MONI-ICU - A clinical breakthrough compared to conventional surveillance systems

Studies in Health Technology and Informatics

Volumn 160, Issue PART 1, 2010, Pages 432-436

  Koller, Walter ^a   Blacky, Alexander ^a   Bauer, Claudia ^a   Mandl, Harald ^b   Adlassnig, Klaus Peter ^a,b  

^a MEDICAL UNIVERSITY OF VIENNA   (Austria)

^b Medexter Healthcare GmbH   (Austria)

Author keywords

Accuracy; Electronic surveillance; Healthcare associated infections; Intensive care unit; MONI ICU; Time expenditure

Indexed keywords

HEALTH CARE; MONITORING; SECURITY SYSTEMS;

ACCURACY; CONVENTIONAL TECHNIQUES; ELECTRONIC SURVEILLANCE; GOOD CLINICAL PRACTICES; INTENSIVE CARE MEDICINES; SURVEILLANCE SYSTEMS; TIME EXPENDITURE; TIME-CONSUMING TASKS;

INTENSIVE CARE UNITS;

EID: 78649520603     PISSN: 09269630     EISSN: 18798365     Source Type: Conference Proceeding    
DOI: 10.3233/978-1-60750-588-4-432     Document Type: Conference Paper

References (13)

1. Haley RW, Culver DH, and White JW. The effect of infection surveillance and control programs in preventing nosocomial infections in US hospitals. Am J Epidemiol. 1985;121:182-205.
2. Harbarth S, Sax H, and Gastmeier P. The preventable proportion of nosocomial infections: An overview of published reports. J Hosp Infect. 2003;54:258-66.
3. Council of the European Union. Council Recommendation on patient safety, including the prevention and control of healthcare associated infections. 2947th Employment, Social Policy, Health and Consumer Affairs Council meeting, Luxembourg, 9 June 2009.
4. Chizzali-Bonfadin C, Adlassnig KP, and Koller W. MONI: An Intelligent Database and Monitoring System for Surveillance of Nosocomial Infections. In: Greenes RA, Peterson HE, and Pratti DE, eds. MEDINFO'95: Part 2. Edmonton, Alberta, Canada: International Medical Informatics Association, Healthcare Computing and Communications Canada, 1995; p. 1684.
5. Assadian O, Adlassnig KP, Rappelsberger A, and Koller W. MONI-An Intelligent Infection Surveillance Software Package. In: Adlassnig KP, ed. Intelligent Systems in Patient Care. Wien: österreichische Computer Gesellschaft, 2001; pp. 49-56.
6. Adlassnig KP, Blacky A, and Koller W. Artificialintelligence-based hospital-acquired infection control. Stud Health Technol Inform. 2009;149:103-10.
7. Horan TC, Andrus M, and Dudeck MA. CDC/NHSN surveillance definition of health care-associated infection and criteria for specific types of infections in the acute care setting. Am J Infect Control. 2008;36:309-32.
8. Hospital in Europe Link for Infection Control through Surveillance (HELICS). Surveillance of Nosocomial Infections in Intensive Care Units. Protocol Version 6.1, September 2004, Project commissioned by the EC/DG SANCO/F/4, Agreement Reference number: VS/1999/5235 (99CVF4-025), 2004; pp. 1-51; http://helics.univlyon1.fr/.
9. Robert-Koch-Institut Berlin. Definitionen nosokomialer Infektionen (CDC-Kriterien), 6th ed. Berlin: MB-Medienhaus Berlin, 2008.
10. Adlassnig KP, Blacky A, and Koller W. Fuzzy-based nosocomial infection control. In: Nikravesh M, Kacprzyk J, and Zadeh LA, eds. Forging New Frontiers: Fuzzy Pioneers II - Studies in Fuzziness and Soft Computing. Vol. 218, Berlin: Springer, 2008; pp. 343-50.
11. Adlassnig KP and Rappelsberger A. Medical Knowledge Packages and their Integration into Health-Care Information Systems and the World Wide Web. In: Andersen SK, Klein GO, Schulz S, Aarts J, and Mazzoleni MC, eds. eHealth Beyond the Horizon-Get IT There. Proceedings of the 21st International Congress of the European Federation for Medical Informatics (MIE 2008). Amsterdam: IOS Press, 2008; pp. 121-6.
12. Health Level 7. The Arden Syntax for Medical Logic Systems, Version 2.7. Ann Arbor, MI: Health Level Seven, Inc., 2008.
13. Hripscak G. Writing Arden Syntax Medical Logic Modules. Comput Biol Med. 1994;24:331-63.