Improving trauma triage decision-making for emergency medical personnel
Official title: Making Computerized Trauma Triage Decision Support Accurate and Trustworthy
Funded at Tennessee Technological University · NIH-10515204 · Data updated 2026-11-12
This study is working on a smart computer system to help emergency medical teams make better decisions about how to treat trauma patients quickly and accurately, so they can provide the best care possible when it really matters.
Quick facts
| Grant type | R15 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Tennessee Technological University NIH-funded |
| Lab location | 1 site (Cookeville, United States) |
| Project start | September 16, 2022 |
| Project end | August 31, 2025 |
| Funding year | 2022 |
| Award (this year) | $373,481 |
| NIH project number | 1R15LM013824-01A1 |
| Project ID | NIH-10515204 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals who may experience traumatic injuries requiring emergency medical attention.
✕Less likely to help
Patients with non-traumatic conditions or those not requiring emergency medical services may not benefit from this research.
What this research studies
This research focuses on enhancing the accuracy and reliability of trauma triage decisions made by emergency medical personnel in high-pressure situations. By developing a computerized trauma triage decision support system, the project aims to utilize complex algorithms and a rich data environment to provide clear and actionable triage recommendations. The approach involves analyzing a diverse dataset to build and evaluate multiple models, ensuring that the system is both effective and trustworthy for real-world applications. Ultimately, the goal is to improve patient outcomes through better decision-making in emergency settings.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and timely trauma care, significantly improving patient survival rates and outcomes.
How similar studies have gone: Previous research has shown promise in using advanced algorithms for decision support in medical settings, indicating potential success for this approach.
Where this research is happening
-
Tennessee Technological University
Cookeville, United States Active
Researchers
- Principal investigator: Talbert, Douglas Alan — Tennessee Technological University
- Study coordinator: Talbert, Douglas Alan
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.