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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...
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 |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
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 |
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