On July 21st, 2022, Nature Medicine published three large, prospective multi-site cohort studies, conducted in collaboration with Johns Hopkins University, showing high provider adoption and associated sepsis mortality and morbidity reductions to the use of Bayesian Health’s AI-driven clinical decision support tool. These studies are one of the largest, most comprehensive and rigorous evaluations ever undertaken in the field of AI-driven clinical decision support for using multi-modal data to improve patient outcomes.
The below links provide up-to-date press coverage of this landmark event.
Modern Healthcare – AI can reduce sepsis-related deaths, study finds (07/22/22)
Politico – Artificial intelligence offers hope in reducing sepsis deaths (07/21/22)
Scientific American – Johns Hopkins sepsis alert tool reduced patient deaths, studies find (08/01/22)
Axios – Artificial intelligence tool helped prevent sepsis deaths (07/22/22)
Futurity – AI Could Prevent Thousands of Sepsis Deaths Yearly (07/21/22)
Technology Networks Diagnostics – Artificial Intelligence Speeds Up Sepsis Detection (07/22/22)
Kaiser Health News – KHN Morning Briefing (07/21/22)
New Atlas – Bedside AI warning system for sepsis reduces mortality by nearly 20% (07/21/22)
FirstWord HealthTech – Bayesian says trio of studies bolsters case for AI to spot, treat sepsis (07/21/22)
Medical Xpress – AI speeds sepsis detection to prevent hundreds of deaths (07/21/22)
Digital Health Business & Technology – AI can reduce sepsis-related deaths, study shows (07/22/22)
Inside Precision Medicine –AI-Driven Clinical Sepsis Screening Approach Demonstrated to Save Lives (07/25/22)
Politico: Digital Future Daily – Applied AI Feature (07/25/22)
HealthTech World – Groundbreaking results reveal AI can reduce sepsis deaths (07/25/22)