Harnessing AI in sepsis care

David W Bates^{1

2

3}, Ania Syrowatka^{4

5}

Affiliations

¹ Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA. dbates@bwh.harvard.edu.
² Harvard Medical School, Boston, MA, USA. dbates@bwh.harvard.edu.
³ Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA. dbates@bwh.harvard.edu.
⁴ Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA.
⁵ Harvard Medical School, Boston, MA, USA.

PMID: 35864250
DOI: 10.1038/s41591-022-01878-0

Comment

Harnessing AI in sepsis care

David W Bates et al. Nat Med. 2022 Jul.

. 2022 Jul;28(7):1351-1352.

doi: 10.1038/s41591-022-01878-0.

Authors

David W Bates^{1

2

3}, Ania Syrowatka^{4

5}

Affiliations

¹ Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA. dbates@bwh.harvard.edu.
² Harvard Medical School, Boston, MA, USA. dbates@bwh.harvard.edu.
³ Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA. dbates@bwh.harvard.edu.
⁴ Division of General Internal Medicine, Brigham and Women's Hospital, Boston, MA, USA.
⁵ Harvard Medical School, Boston, MA, USA.

PMID: 35864250
DOI: 10.1038/s41591-022-01878-0

No abstract available

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Comment on

Factors driving provider adoption of the TREWS machine learning-based early warning system and its effects on sepsis treatment timing.
Henry KE, Adams R, Parent C, Soleimani H, Sridharan A, Johnson L, Hager DN, Cosgrove SE, Markowski A, Klein EY, Chen ES, Saheed MO, Henley M, Miranda S, Houston K, Linton RC 2nd, Ahluwalia AR, Wu AW, Saria S. Henry KE, et al. 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.
Adams R, Henry KE, Sridharan A, Soleimani H, Zhan A, Rawat N, Johnson L, Hager DN, Cosgrove SE, Markowski A, Klein EY, Chen ES, Saheed MO, Henley M, Miranda S, Houston K, Linton RC, Ahluwalia AR, Wu AW, Saria S. Adams R, et al. Nat Med. 2022 Jul;28(7):1455-1460. doi: 10.1038/s41591-022-01894-0. Epub 2022 Jul 21. Nat Med. 2022. PMID: 35864252

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References

1. Adams, R. et al. Nat. Med. https://doi.org/10.1038/s41591-022-01894-0 (2022).
1. Henry, K. E. et al. Nat. Med. https://doi.org/10.1038/s41591-022-01895-z (2022).
1. Bauer, M. et al. Crit Care. 24, 239 (2020). - DOI
1. Sands, K. E. et al. J. Am. Med. Assoc. 278, 234–240 (1997). - DOI
1. Perlin, J. B. et al. Jt Comm. J. Qual. Patient Saf. 46, 381–391 (2020). - PubMed

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Harnessing AI in sepsis care

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