AI-powered real-time postpartum hemorrhage risk predictor in clinical care
Official title: Clinical Implementation and Validation of an AI-Enhanced Tool for Real-Time Prediction of Postpartum Hemorrhage Risk
Funded at Brigham and Women's Hospital · NIH-11448238 · Data updated 2026-11-12
A real-time AI tool integrated into electronic health records helps identify women at risk for postpartum hemorrhage so clinicians can intervene earlier.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brigham and Women's Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | September 3, 2026 |
| Project end | August 31, 2031 |
| Funding year | 2026 |
| Award (this year) | $597,571 |
| NIH project number | 1R01HD120517-01A1 |
| Project ID | NIH-11448238 on NIH RePORTER |
Who could benefit from this research
✓Could help
Pregnant women receiving care at participating hospitals where the AI tool is deployed.
✕Less likely to help
Patients not eligible for delivery at the participating sites or whose data are not accessible to the EHR integration may not benefit.
What this research studies
This project will refine and test an AI model that predicts postpartum bleeding risk during pregnancy and delivery, using data directly from the patient’s electronic health record. It will involve hands-on usability testing with clinicians to ensure the tool fits into current workflows and meets user needs. After refinement, the team will conduct an individual-level randomized trial at a high-volume hospital to measure whether the tool speeds up timely interventions and improves care for mothers and babies.
Why it matters
Potential benefit: If successful, the tool could help clinicians act faster to prevent severe bleeding and reduce maternal complications.
How similar studies have gone: Prior work suggests AI can improve risk prediction for PPH compared with traditional tools; this study seeks to validate and implement in real time.
Where this research is happening
-
Brigham and Women's Hospital
Boston, United States Active
Researchers
- Principal investigator: Kovacheva, Vesela — Brigham and Women's Hospital
- Study coordinator: Kovacheva, Vesela
Related research
Other NIH-funded projects on the same topics.
-
Wearable tech to track blood loss during childbirth
A wearable device monitors cardiovascular signals to detect postpartum hemorrhage early so clinicians can act quickly to protect mothers.
-
Maternal Postpartum Monitoring with a Wearable Sensor (MOMS)
A wearable system called MOMS will continuously monitor multiple physiological signals in pregnant people to detect postpartum hemorrhage earlier than standard vital signs.
-
Targeting Ubiquitination to Improve Uterotonic Therapies in Postpartum Hemorrhage
A new approach aims to boost uterine contractions during childbirth and after delivery by understanding how a hormone receptor is regulated, potentially reducing postpartum hemorrhage risk.
-
Personalized Postpartum Bleeding Risk Prediction with Machine Learning and Genetic Scores
This grant aims to create a personalized tool that predicts a mother’s risk of postpartum hemorrhage using machine learning and her genetic information.
-
OPTIMUM OB-TXA: Timing, route, and dose of tranexamic acid to prevent postpartum bleeding before cord clamping
Aims to find the best time, method, and amount of tranexamic acid given before cord clamping to prevent postpartum hemorrhage in new mothers and protect babies.
-
Simulation to strengthen obstetricians' hands-on skills for postpartum hemorrhage
A multicenter program uses realistic obstetric simulations to help OB attendings perform critical maneuvers like Bakri balloon placement and suturing techniques during postpartum hemorrhage.
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page.