Clinical AI Solution
Early Sepsis Detection with Clinical AI
Identify sepsis risk at emergency triage — often before labs — so teams can act within the critical first hour.
Sepsis is a race against time
In sepsis, every hour of delayed treatment raises the risk of death. Yet early sepsis is hard to spot — patients can present with subtle or stable-looking vitals. By the time labs confirm it, critical time has passed.
How KATE finds sepsis earlier
KATE applies machine learning with clinical natural language processing to emergency intake data, recognizing sepsis-associated patterns at the triage desk — frequently before lab results are available. That earlier signal helps clinical teams initiate the one-hour sepsis bundle sooner. Mednition introduced a machine-learning early sepsis model shown to help double one-hour bundle compliance, and KATE’s sepsis model holds FDA Breakthrough Device Designation.