Bayesian Health's AI Helps Hospitals Reduce Sepsis Deaths By 20%

Bayesian Health and Johns Hopkins have announced ground-breaking results showing that many lives have been saved with a new clinically deployed AI platform called Targeted Real-Time Early Warning System (TREWS). The AI platform activates state-of-the-art AI within the electronic medical record and tracks patients from the moment they are admitted to hospital until they are discharged. The early warning system is designed to send alerts to healthcare providers when there is cause for concern. A real world study - conducted in 5 hospitals - demonstrated that the TREWS AI system led to the detection of sepsis on average almost 6 hours earlier than traditional methods, with a sensitivity rate of 82%. This is significant because sepsis is responsible for 20% of all deaths globally and early detection could save over 11 million lives every year.