Improving blood management for surgical patients using AI.
Official title: Intelligent Clinical Decision Support for Perioperative Blood Management
Funded at Washington University · NIH-10985862 · Data updated 2026-11-12
This study is working on smart tools that help doctors make better decisions about blood transfusions for patients having surgery, using artificial intelligence to improve safety and outcomes for everyone involved.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Washington University NIH-funded |
| Lab location | 1 site (Saint Louis, United States) |
| Project start | July 15, 2024 |
| Project end | June 30, 2028 |
| Funding year | 2024 |
| Award (this year) | $173,609 |
| NIH project number | 1K23HL166880-01A1 |
| Project ID | NIH-10985862 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients scheduled for surgery who may require blood transfusions or have conditions affecting blood management.
✕Less likely to help
Patients who are not undergoing surgery or do not require blood management interventions may not benefit from this research.
What this research studies
This research focuses on developing and implementing intelligent clinical decision support tools that enhance blood management for patients undergoing surgery. By utilizing artificial intelligence, the project aims to create predictive models that can assist healthcare providers in making informed decisions about blood transfusions and management during the perioperative period. The approach includes training and mentorship for the principal investigator to ensure effective implementation and evaluation of these AI tools in clinical settings. The goal is to improve patient outcomes by optimizing blood use and reducing complications related to blood management.
Why it matters
Potential benefit: If successful, this research could lead to safer and more effective blood management practices for surgical patients.
How similar studies have gone: Previous research has shown promising results in using AI for clinical decision support, indicating potential success for this approach.
Where this research is happening
-
Washington University
Saint Louis, United States Active
Researchers
- Principal investigator: Lou, Sunny S. — Washington University
- Study coordinator: Lou, Sunny S.
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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.