NOMA AI

NOMA AI, based in Pittsburgh, Pennsylvania, is developing a machine learning platform that analyzes hundreds of real-time and historic clinical variables to help clinical teams proactively identify risks of medical complications. The company's key differentiator is its focus on integrating with multiple clinical data sources beyond electronic health record systems, enabling accurate real-time and point-of-care predictive assessment based on more up-to-date data points through continuous patient monitoring systems. NOMA AI's initial focus is on maternal hemorrhaging, the leading cause of maternal mortality worldwide, which costs hospital systems USD 1.8 billion annually in the US alone. The platform moves away from simple blood loss estimation, which can be prone to error and delayed prognosis, and provides an automated, dynamic, and more accurate risk assessment. The system had shown to better identify 89% of patients at risk of hemorrhage, compared to current solutions that underestimate 50% of cases. The company's proprietary platform, which served as the basis for NOMA AI, was field-tested and used to deploy multiple solutions, monitoring 130,000 patients across 17 University of Pittsburgh Medical Center (UPMC) hospitals.

Key customers and partnerships

The company's previous collaboration with the University of Pittsburgh Medical Center (UPMC) resulted in the deployment of their technology across 17 UPMC hospitals, monitoring 130,000 patients.