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. 2015 Oct 1;43(10):1119-21.
doi: 10.1016/j.ajic.2015.05.040. Epub 2015 Jul 9.

Assessment of an automated surveillance system for detection of initial ventilator-associated events

Dooshanveer Nuckchady  1 , Michael G Heckman  2 , Nancy N Diehl  2 , Tara Creech  3 , Darlene Carey  3 , Robert Domnick  4 , Walter C Hellinger  5
Affiliations

Assessment of an automated surveillance system for detection of initial ventilator-associated events

Dooshanveer Nuckchady et al. Am J Infect Control. .

Abstract

Surveillance for initial ventilator-associated events (VAEs) was automated and compared with nonautomated review of episodes of mechanical ventilation. Sensitivity, specificity, positive predictive value, and negative predictive value of automated surveillance were very high (>93%), and automated surveillance reduced the time spent on detection of VAEs by >90%.

Keywords: Automated surveillance; Infection-related ventilator-associated conditions; Mechanical ventilation; Ventilator-associated events.

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