Elythea

Elythea, a machine learning tool, is designed to identify expecting mothers at high risk for pregnancy complications. These complications include postpartum hemorrhage, preterm labor, preeclampsia, eclampsia, and failed vaginal birth after cesarean (VBAC). Elythea seamlessly integrates with electronic health record (EHR) systems to analyze patient demographics, medical history, and clinical risk factors.

The tool promptly identifies high-risk mothers from the first visit by analyzing over 300 million data points used in model training. This results in an accuracy of up to 85% and an AUC ROC score of up to 0.85.

Elythea aims to improve maternal outcomes, contain healthcare costs, and simplify the lives of healthcare providers. Its global footprint and utilization in clinical studies across multiple countries make it a valuable partnership for health providers, employers, and plans.