Improving blood pressure management during hemorrhage treatment
Official title: Learning-Enabled Autonomous Decision-Support for Blood Pressure Management in Hemorrhage Resuscitation via Population-Informed Statistical Inference
Funded at Univ of Maryland, College Park · NIH-10911284 · Data updated 2026-11-12
This study is testing a smart system that helps doctors manage blood pressure for patients who are bleeding, by predicting how their blood pressure will change and suggesting the best times and amounts for giving fluids to keep it stable, all with the goal of improving recovery.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Univ of Maryland, College Park NIH-funded |
| Lab location | 1 site (College Park, United States) |
| Project start | September 1, 2023 |
| Project end | August 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $323,968 |
| NIH project number | 5R21EB034835-02 |
| Project ID | NIH-10911284 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals aged 1-46 who are experiencing severe hemorrhage and require immediate medical intervention.
✕Less likely to help
Patients who are not experiencing hemorrhage or those outside the age range of 1-46 may not benefit from this research.
What this research studies
This research focuses on developing an advanced decision-support system that helps manage blood pressure in patients experiencing hemorrhage. By utilizing a learning-enabled approach, the system will predict future blood pressure levels and recommend the timing and dosage of resuscitation fluids to keep blood pressure within a target range. This technology aims to enhance the effectiveness of hemorrhage resuscitation protocols, ultimately improving patient outcomes. The system will continuously learn from patient responses to optimize its recommendations.
Why it matters
Potential benefit: If successful, this research could significantly reduce mortality rates associated with hemorrhage by improving blood pressure management during critical care.
How similar studies have gone: Other research has shown promise in using automated decision-support systems for clinical management, indicating potential success for this novel approach.
Where this research is happening
-
Univ of Maryland, College Park
College Park, United States Active
Researchers
- Principal investigator: Hahn, Jin-Oh — Univ of Maryland, College Park
- Study coordinator: Hahn, Jin-Oh
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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.