Validation of fuzzy sets in an automated detection system for intensive-care-unit-acquired central-venous-catheter-related infections

Studies in Health Technology and Informatics

Volumn 192, Issue 1-2, 2013, Pages 215-218

  De Bruin, Jeroen S ^a   Blacky, Alexander ^a   Koller, Walter ^a   Adlassnig, Klaus Peter ^a,b  

^a MEDICAL UNIVERSITY OF VIENNA   (Austria)

^b Medexter Healthcare GmbH   (Austria)

Author keywords

Automatic Data Processing; Cross Infection; Fuzzy Logic; Infection Control; Intensive Care Units

Indexed keywords

CATHETERS; DATA HANDLING; FUZZY LOGIC; HOSPITAL DATA PROCESSING; MONITORING; SECURITY SYSTEMS; SOUNDING APPARATUS;

AUTOMATED DETECTION; AUTOMATIC DATA PROCESSING; CROSS-INFECTION; ELECTRONIC SURVEILLANCE SYSTEMS; INFECTION CONTROL; PATIENT CARE; PATIENT DATA; STUDY GROUPS;

INTENSIVE CARE UNITS;

ADOLESCENT; ADULT; AGED; ALARM MONITOR; AUSTRIA; AUTOMATED PATTERN RECOGNITION; CATHETER-RELATED INFECTIONS; CENTRAL VENOUS CATHETER; COMPUTER ASSISTED DIAGNOSIS; EVALUATION STUDY; FEMALE; FUZZY LOGIC; HUMAN; INTENSIVE CARE UNIT; MALE; MIDDLE AGED; PHYSIOLOGIC MONITORING; PREVALENCE; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY; STATISTICS AND NUMERICAL DATA; VALIDATION STUDY; VERY ELDERLY; YOUNG ADULT;

ADOLESCENT; ADULT; AGED; AGED, 80 AND OVER; AUSTRIA; CATHETER-RELATED INFECTIONS; CENTRAL VENOUS CATHETERS; CLINICAL ALARMS; DIAGNOSIS, COMPUTER-ASSISTED; FEMALE; FUZZY LOGIC; HUMANS; INTENSIVE CARE UNITS; MALE; MIDDLE AGED; MONITORING, PHYSIOLOGIC; PATTERN RECOGNITION, AUTOMATED; PREVALENCE; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; YOUNG ADULT;

EID: 84894315536     PISSN: 09269630     EISSN: 18798365     Source Type: Book Series    
DOI: 10.3233/978-1-61499-289-9-215     Document Type: Conference Paper

References (16)

1. Mermel LA. Prevention of intravascular catheter-related infections. Ann Intern Med. 2000: 132 (5): 391-402.
2. Blot SI, Depuydt P, Annemans L, Benoit D, Hoste E, De Waele JJ, Decruyenaere J, Vogelaers D, Colardyn F, and Vandewoude KH. Clinical and economic outcomes in critically ill patients with nosocomial catheter-related bloodstream infections. Clin Infect Dis. 2005: 41 (11): 1591-8.
3. Dimick JB, Pelz RK, Consunji R, Swoboda SM, Hendrix CW, and Lipsett PA. Increased resource use associated with catheter-related bloodstream infection in the surgical intensive care unit. Arch Surg. 2001: 136 (2): 229-34.
4. Merrer J, De Jonghe B, Golliot F, Lefrant JY, Raffy B, Barre E, Rigaud JP, Casciani D, Misset B, Bosquet C, Outin H, Brun-Buisson C, and Nitenberg G. Complications of femoral and subclavian venous catheterization in critically ill patients: a randomized controlled trial. JAMA. 2001: 286 (6): 700-7.
5. Renaud B and Brun-Buisson C. Outcomes of primary and catheter-related bacteremia. A cohort and case-control study in critically ill patients. Am J Respir Crit Care Med. 2001: 163 (7): 1584-90.
6. European Centre for Disease Prevention and Control (ECDC). HAIICU Protocol v1.01 STANDARD and LIGHT. 2010. Available from: http://tinyurl.com/ auowskv. Accessed: November 12, 2012.
7. Emori TG, Edwards JR, Culver DH, Sartor C, Stroud LA, Gaunt EE, Horan TC, and Gaynes RP. Accuracy of reporting nosocomial infections in intensive-care-unit patients to the National Nosocomial Infections Surveillance System: a pilot study. Infect Control Hosp Epidemiol. 1998: 19 (5): 308-16.
8. Haley RW, Culver DH, White JW, Morgan WM, Emori TG, Munn VP, and Hooton TM. The efficacy of infection surveillance and control programs in preventing nosocomial infections in US hospitals. Am J Epidemiol. 1985: 121 (2): 182-205.
9. Bouzbid S, Gicquel Q, Gerbier S, Chomarat M, Pradat E, Fabry J, Lepape A, and Metzger MH. Automated detection of nosocomial infections: evaluation of different strategies in an intensive care unit 2000-2006. J Hosp Infect. 2011: 79 (1): 38-43.
10. Woeltje KF, Butler AM, Goris AJ, Tutlam NT, Doherty JA, Westover MB, Ferris V, and Bailey TC. Automated surveillance for central line-associated bloodstream infection in intensive care units. Infect Control Hosp Epidemiol. 2008: 29 (9): 842-6.
11. de Bruin JS, Adlassnig KP, Blacky A, Mandl H, Fehre K, and Koller W. Effectiveness of an automated surveillance system for intensive care unit-acquired infections. J Am Med Inform Assoc. 2013: 20 (2): 369-72.
12. Adlassnig KP, Blacky A, and Koller W. Fuzzy-based nosocomial infection control. In: Nikravesh M, Kacprzyk J, Zadeh L, eds. Forging New Frontiers: Fuzzy Pioneers II. 1st ed. Berlin: Springer; 2008. p. 343-9.
13. Adlassnig KP, Blacky A, and Koller W. Artificialintelligence-based hospital-acquired infection control. Stud Health Technol Inform. 2009: 149: 103-10.
14. The Arden Syntax for Medical Logic Systems Version 2.7. Ann Arbor, MI, 2008: Health Level Seven Inc.
15. Hripcsak G. Writing Arden Syntax Medical Logic Modules. Comput Biol Med. 1994: 24 (5): 331-63.
16. De Bruin JS, Blacky A, and Adlassnig KP. Assessing the clinical uses of fuzzy detection results in the automated detection of CVC-related infections: A preliminary report. Stud Health Technol Inform. 2012: 180: 579-83.