2014
An automated algorithm to preselect patients to be assessed individually in point prevalence surveys for hospital-acquired infections in surgery
Publication
Publication
Infection Control & Hospital Epidemiology , Volume 35 - Issue 7 p. 886- 887
In this pilot study, we evaluate an algorithm that uses predictive clinical and laboratory parameters to differentiate between patients with hospital-acquired infection (HAI) and patients without HAI. Seventy-four percent of the studied population of surgical patients could be reliably (negative predictive value of 98%) excluded from detailed assessment by the infection control practitioner.
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doi.org/10.1086/676868, hdl.handle.net/1765/57822 | |
Infection Control & Hospital Epidemiology | |
Organisation | Department of Medical Microbiology and Infectious Diseases |
Streefkerk, R., Moorman, P., Parlevliet, G., van der Hoeven, C., Verbrugh, H., Vos, M., & Verkooijen, R. (2014). An automated algorithm to preselect patients to be assessed individually in point prevalence surveys for hospital-acquired infections in surgery. Infection Control & Hospital Epidemiology, 35(7), 886–887. doi:10.1086/676868 |