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CRITICAL CARE

Harnessing AI in sepsis care

Nature Medicine volume 28, pages 1351–1352 (2022)Cite this article

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A real-time early warning system for sepsis detection shows promising adoption by healthcare providers and important improvements in patient outcomes.

Sepsis is a notoriously difficult condition to manage, mainly because of challenges with its early detection, and it continues to have a high mortality rate; a recent meta-analysis reported a pooled 30-day rate of 24%3. Sepsis can develop outside or inside the hospital, on general care units or in the ICU — in one study, 41% of cases occurred outside the ICU, where patients are less closely monitored4.

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References

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Authors and Affiliations

  1. Division of General Internal Medicine, Brigham and Women’s Hospital, Boston, MA, USA

    David W. Bates & Ania Syrowatka

  2. Harvard Medical School, Boston, MA, USA

    David W. Bates & Ania Syrowatka

  3. Department of Health Policy and Management, Harvard T.H. Chan School of Public Health, Boston, MA, USA

    David W. Bates

Authors
  1. David W. Bates
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  2. Ania Syrowatka
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Correspondence to David W. Bates.

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Competing interests

D.W.B. reports grants and personal fees from EarlySense, personal fees from CDI Negev, equity from ValeraHealth, equity from Clew, equity from MDClone, personal fees and equity from AESOP, personal fees and equity from FeelBetter and grants from IBM Watson Health, outside the submitted work. A.S. received partial salary support from grants funded by IBM Watson Health, outside of the submitted work.

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Bates, D.W., Syrowatka, A. Harnessing AI in sepsis care. Nat Med 28, 1351–1352 (2022). https://doi.org/10.1038/s41591-022-01878-0

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