New IHE publication on the economic impact of machine learning for early detection of sepsis

Early diagnosis of sepsis has been shown to reduce treatment delays, increase appropriate care, and reduce mortality. This new study aimed at estimating the potential cost and cost-effectiveness impact of a machine learning algorithm forecasting the onset of sepsis in a Swedish intensive care unit (ICU) setting. The study concludes that a sepsis prediction algorithm will potentially have a substantial cost-saving and life-saving impact for ICU departments and the healthcare system.

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