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.