Gauss -AI-enabled Platform for Real Time Monitoring of Blood Loss
Traditional methods fail when needed most: Visual estimation of blood loss is notoriously inaccurate and gravimetric/volumetric techniques are cumbersome and imprecise, leading to a search for better methods of blood loss quantification.
Leading Preventable Cause of Maternal Mortality
The Joint Commission and The American College of Obstetricians and Gynecologists recommend hospitals to use stage-based hemorrhage protocols based on blood loss thresholds, but most hospitals still rely on visual estimation of blood loss, which is notoriously inaccurate.
Improving Hemorrhage Detection with Triton
During cesarean sections, Triton AI captures sponge and canister images to accurately monitor blood loss in real time. Using advanced algorithms, Triton can distinguish between blood and non-sanguinous fluids.
During vaginal deliveries, Triton QBL streamlines workflow by automatically calculating blood volume of weighed items, and triggers hemorrhage alerts through the integration of custom hemorrhage protocols.
Triton Improves Obstetrical Outcomes
Researchers at The Mount Sinai Hospital used Triton to drive hemorrhage protocols, leading to a 2X to 4X increase in hemorrhage recognition in both c-sections and vaginal deliveries, a 34% reduction in delayed interventions to control bleeding, and $209K annualized cost avoidance from unnecessary transfusions and lab tests.
Detect hemorrhage early with Triton
Triton combines the power of A.I. with the simplicity of the iPhone to deliver accurate blood loss during delivery and postpartum care.
4X more hemorrhages recognized
With Triton, centers have observed a 4X increase in hemorrhage detection and a 34% reduction in delayed interventions, leading to significant cost avoidance.