AI-Driven Clinical Sepsis Screening Approach Demonstrated to Save Lives
07/25/22 Inside Precision Medicine – AI-Driven Clinical Sepsis Screening Approach Demonstrated to Save Lives
Reducing sepsis mortality using Bayesian’s machine learning system. An adaptive artificial intelligence (AI) technology called the Targeted Real-time Early Warning System (TREWS) developed by Bayesian Health has shown its ability in a clinical setting to be an effective early warning screening tool for patients with sepsis. Detailed in three separate studies published in Nature and npj Digital Medicine, researchers from Bayesian and Johns Hopkins University demonstrated that deployment of the AI-driven clinical sepsis screening approach reduced mortality, morbidity, and length of stay of hospital patients. Importantly, the studies show timely use of Bayesian’s AI platform is associated with a relative reduction in mortality of 18.2% in sepsis patients.
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Learn more about Bayesian’s peer-reviewed research on sepsis here
