Real-Time, Automated Detection of Ventilator-Associated Events: Avoiding Missed Detections, Misclassifications, and False Detections Due to Human Error

OBJECTIVE. To validate a system to detect ventilator associated events (VAEs) autonomously and in real time. DESIGN. Retrospective review of ventilated patients using a secure informatics platform to identify VAEs (ie, automated surveillance) compared to surveillance by infection control (IC) staff...

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Detalhes bibliográficos
Publicado no:Infect Control Hosp Epidemiol
Principais autores: Shenoy, Erica S., Rosenthal, Eric S., Shao, Yu-Ping, Biswal, Siddharth, Ghanta, Manohar, Ryan, Erin E., Suslak, Dolores, Swanson, Nancy, Moura, Valdery, Hooper, David C., Westover, M. Brandon
Formato: Artigo
Idioma:Inglês
Publicado em: 2018
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Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6776240/
https://ncbi.nlm.nih.gov/pubmed/29769151
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1017/ice.2018.97
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