Utilization of electronic medical records to build a detection model for surveillance of healthcare-associated urinary tract infections

Journal of Medical Systems

Volumn 37, Issue 2, 2013, Pages

  Lo, Yu Sheng ^a   Lee, Wen Sen ^b,c   Liu, Chien Tsai ^a  

^a TAIPEI MEDICAL UNIVERSITY   (Taiwan)

^b TAIPEI MEDICAL UNIVERSITY   (Taiwan)

^c TAIPEI MEDICAL UNIVERSITY   (Taiwan)

Author keywords

Electronic health records; Electronic medical records; Healthcare associated infection; Urinary tract infection

Indexed keywords

ACCURACY; ANTIBIOTIC THERAPY; ARTICLE; BLOOD CULTURE; CONTROLLED STUDY; DISCRIMINANT ANALYSIS; DISEASE CLASSIFICATION; DISEASE SURVEILLANCE; ELECTRONIC MEDICAL RECORD; HEALTH CARE UTILIZATION; HEALTHCARE ASSOCIATED INFECTION; HUMAN; SENSITIVITY AND SPECIFICITY; TAIWAN; TERTIARY HEALTH CARE; URINALYSIS; URINARY TRACT INFECTION; URINE CULTURE; CROSS INFECTION; EPIDEMIOLOGY; EVALUATION STUDY; HEALTH SURVEY; INFORMATION PROCESSING; PROCEDURES; URINARY TRACT INFECTIONS;

CROSS INFECTION; DATA COLLECTION; ELECTRONIC HEALTH RECORDS; HUMANS; POPULATION SURVEILLANCE; SENSITIVITY AND SPECIFICITY; TAIWAN; URINARY TRACT INFECTIONS;

EID: 84872120885     PISSN: 01485598     EISSN: 1573689X     Source Type: Journal    
DOI: 10.1007/s10916-012-9923-2     Document Type: Article

References (20)

1. Horan, T. C., Andrus, M., and Dudeck, M. A., 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. 36:309-332, 2008.
2. Klevens, R. M., Edwards, J. R., Richards, C. L., et al., Estimating health care-associated infections and deaths in U.S. hospitals, 2002. Public Health Rep 122:160-167, 2007.
3. Glenister, H. M., Taylor, L. J., Bartlett, C. L. R., et al., An evaluation of surveillance methods for detecting infections in hospital inpatients. J. Hosp. Infect. 23:229-242, 1993.
4. Atreja, A., Gordon, S. M., Pollock, D. A., et al., Opportunities and challenges in utilizing electronic health records for infection surveillance, prevention, and control. Am. J. Infect. Control. 36:37-46, 2008.
5. Schiffman, R. N., Brandt, C. A., Liaw, Y., and Corb, G. J., A design model for computer based guideline implementation based on information management services. J Am Med Inform Assoc 6:99-103, 1999.
6. Wright, M. O., Fisher, A., John, M., Reynolds, K., Peterson, L. R., and Robicsek, A., The electronic medical record as a tool for infection surveillance: Successful automation of device-days. Am. J. Infect. Control. 37:364-370, 2009.
7. Worth, A. P., and Cronin, M. T. D., The use of discriminant analysis, logistic regression and classification tree analysis in the development of classification models for human health effects. J Mol Struc (Theochem) 622:97-111, 2003.
8. Brossette, S. E., Hacek, D. M., Gavin, P. J., et al., A laboratory based, hospital-wide, electronic marker for nosocomial infection: the future of infection control surveillance. Am. J. Clin. Pathol. 125:34-39, 2006.
9. Broderick, A., Mori, M., Nettleman, M. D., Streed, S. A., and Wenzel, R. P., Nosocomial infections: validation of surveillance and computer modeling to identify patients at risk. Am. J. Epidemiol. 131:734-742, 1990.
10. Trick, W. E., Zagorski, B. M., Tokars, J. I., et al., Computer algorithms to detect bloodstream infections. Emerg. Infect. Dis. 10:1612-1620, 2004.
11. Wright, M. O., Perencevich, E. N., Novak, C., Hebden, J. N., Standiford, H. C., and Harris, A. D., Preliminary assessment of an automated surveillance system for infection control. Infect Control Hosp Epidemiol 25:325-332, 2004.
12. Graham, P. L., Gabriel, P. S., Lutwick, S., et al., Validation of a multicenter computer-based surveillance system for hospital-acquired bloodstream infections in neonatal intensive care departments. Am. J. Infect. Control. 32:232-234, 2004.
13. Evans, R. S., Pestotnik, S. L., Classen, D. C., et al., A computer-assisted management program for antibiotics and other antiinfective agents. N. Engl. J. Med. 338:232-238, 1998.
14. Bouam, S., Girou, E., Brun-Buisson, C., Karadimas, H., and Lepage, E., An internet-based automated system for the surveillance of nosocomial infections: prospective validation compared with physicians' self-reports. Infect Control Hosp Epidemiol 24:51-55, 2003.
15. Chalfine, A., Cauet, D., Lin, W. C., et al., Highly sensitive and efficient computer-assisted system for routine surveillance for surgical site infection. Infect Control Hosp Epidemiol 27:794-801, 2006.
16. Evans, R. S., Burke, J. P., Classen, D. C., et al., Computerized identification of patients at high risk for hospital-acquired infection. Am. J. Infect. Control. 20:4-10, 1992.
17. Pokorny, L., Rovira, A., Martin-Baranera, M., Gimeno, C., Alonso-Tarres, C., and Vilarasau, J., Automatic detection of patients with nosocomial infection by a computer-based surveillance system: a validation study in a general hospital. Infect Control Hosp Epidemiol 27:500-503, 2006.
18. McNamara, M. J., Hill, M. C., Balows, A., and Tucker, E. B., A study of the bacteriologic patterns of hospital infections. Ann. Intern. Med. 66:480-488, 1967.
19. Willard, K. E., Johnson, J. R., and Connely, D. P., Radical improvements in the display of clinical microbiology results. Am. J. Med. 101:541-549, 1996.
20. Brusaferro, S., Regattin, L., Faruzzo, A., et al., Surveillance of hospitalacquired infections: A model for settings with resource constraints. Am. J. Infect. Control. 34:362-366, 2006.