Using real-time visualization system for data-driven decision support to achieve lung protective strategy: a retrospective observational study

BACKGROUND: Although lung protective strategy and adjunctive intervention are associated with improved survival in patients with acute respiratory distress syndrome (ARDS), the implementation of effective therapies remains low. This study aimed to evaluate whether the use of business intelligence (B...

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Detalles Bibliográficos
Autores principales: Tseng, How-Yang, Chen, Chieh-Lung, Lin, Yu-Chao, Chuang, Ming-Che, Hsu, Wu-Huei, Hsiao, Wan-Yun, Chen, Tung-Mei, Wang, Min-Tzu, Huang, Wei-Chun, Chen, Chih-Yu, Wu, Biing-Ru, Tu, Chih-Yen, Liang, Shinn-Jye, Chen, Wei-Cheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395891/
https://www.ncbi.nlm.nih.gov/pubmed/35996117
http://dx.doi.org/10.1186/s13054-022-04091-0

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9395891/
https://www.ncbi.nlm.nih.gov/pubmed/35996117
http://dx.doi.org/10.1186/s13054-022-04091-0

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