Harnessing AI in sepsis care
- PMID: 35864250
- DOI: 10.1038/s41591-022-01878-0
Harnessing AI in sepsis care
Comment on
-
Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing.Nat Med. 2022 Jul;28(7):1447-1454. doi: 10.1038/s41591-022-01895-z. Epub 2022 Jul 21. Nat Med. 2022. PMID: 35864251
-
Prospective, multi-site study of patient outcomes after implementation of the TREWS machine learning-based early warning system for sepsis.Nat Med. 2022 Jul;28(7):1455-1460. doi: 10.1038/s41591-022-01894-0. Epub 2022 Jul 21. Nat Med. 2022. PMID: 35864252
References
-
- Adams, R. et al. Nat. Med. https://doi.org/10.1038/s41591-022-01894-0 (2022).
-
- Henry, K. E. et al. Nat. Med. https://doi.org/10.1038/s41591-022-01895-z (2022).
-
- Bauer, M. et al. Crit Care. 24, 239 (2020). - DOI
-
- Sands, K. E. et al. J. Am. Med. Assoc. 278, 234–240 (1997). - DOI
-
- Perlin, J. B. et al. Jt Comm. J. Qual. Patient Saf. 46, 381–391 (2020). - PubMed
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Medical
