Project Grant R01HD120517

The National Institute of Child Health and Human Development awarded Brigham & Women's Hospital Inc. $597,571 on September 3, 2026, under the Child Health and Human Development Extramural Research program (CFDA 93.865) to validate and implement an artificial intelligence-enhanced tool for real-time prediction of postpartum hemorrhage risk integrated into the electronic health record.

The project spans five years through August 31, 2031, with performance at the hospital in Boston, Massachusetts. Work includes two primary aims: refining the AI model through iterative usability testing within a simulated EHR environment guided by the Consolidated Framework for Implementation Research, and rigorously evaluating the tool's effectiveness through an individual-level randomized controlled trial at the hospital. The trial begins with a six-month silent validation phase followed by two years of testing. Primary outcomes measure improved timeliness of clinical interventions for postpartum hemorrhage; secondary outcomes include severe PPH incidence, quantitative blood loss, transfusion rates, maternal morbidity, and healthcare resource utilization. Advanced statistical methods including Cox proportional hazards models and mixed-effects regression analyses will evaluate results.

The work builds on preliminary K08-funded research demonstrating that the machine learning model identifies approximately twenty percent more patients at risk of PPH than existing tools. Current predictive approaches rely on manual data entry and static risk factors, leading to misclassification of at-risk individuals.