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Real-time early warning system for sepsis

Press

07/21/22 NATURE MEDICINE – A real-time early warning system for sepsis detection shows promising adoption by healthcare providers and important improvements in patient outcomes.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%. 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 monitored.

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Read the NATURE MEDICINE editorial

Learn more about Bayesian’s peer-reviewed research on sepsis here

Tags: #adoption, #aiforgood, #alarmfatigue, #catchsepsisearly, #clinicaldecisionsupport, #machinelearning, #sepsis, #sepsismortality, ai, bias
https://www.bayesianhealth.com/wp-content/uploads/2022/12/nature-image-2.png 720 1280 integritive https://www.bayesianhealth.com/wp-content/uploads/2023/01/Bayesian-Health-logo-2x-color.png integritive2022-07-21 10:37:362023-01-04 12:50:02Real-time early warning system for sepsis
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