A Method to Explore Variations of Ventilator-Associated Event Surveillance Definitions in Large Critical Care Databases in the United States.
Critical care explorations(2022)
Abstract
We developed a method to examine VAC using information extracted from large electronic health record databases. Building upon this framework, we developed an interactive tool to visualize and quantify the implications of variations in the VAC surveillance definition in different populations, across time and critical care settings. Data for patients with and without VAC was used to illustrate the effect of the application of this method and visualization tool.
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Key words
data science,mechanical,pneumonia,surveillance,ventilator-associated,ventilator-associated condition,ventilator-associated event,ventilators
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