Development of an Algorithm for Surveillance of Ventilator-Associated Pneumonia With Electronic Data and Comparison of Algorithm Results With Clinician Diagnoses | Zendy

Michael Klompas | Zendy; Ken Kleinman | Zendy; Richard Platt | Zendy

Open Access

Development of an Algorithm for Surveillance of Ventilator-Associated Pneumonia With Electronic Data and Comparison of Algorithm Results With Clinician Diagnoses

Author(s) -

Michael Klompas,

Ken Kleinman,

Richard Platt

Publication year - 2007

Publication title -

infection control and hospital epidemiology

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.243

H-Index - 138

eISSN - 1559-6834

pISSN - 0899-823X

DOI - 10.1086/524332

Subject(s) - medicine , algorithm , intensive care , medical diagnosis , prospective cohort study , ventilator associated pneumonia , intensive care unit , medical record , pneumonia , mechanical ventilation , predictive value , emergency medicine , intensive care medicine , pathology , computer science

Surveillance for ventilator-associated pneumonia (VAP) using standard Centers for Disease Control and Prevention (CDC) criteria is labor intensive and involves many subjective assessments. We sought to improve the efficiency and objectivity of VAP surveillance by adapting the CDC criteria to make them amenable to evaluation with electronic data.

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