Better ways to predict and prevent blood clots in the hospital
Official title: Optimizing the implementation of personalized risk-prediction models for venous thromboembolism among hospitalized adults
Funded at Vanderbilt University Medical Center · NIH-11142579 · Data updated 2026-11-12
This work creates and tests a new way to help doctors quickly identify hospitalized patients at risk for dangerous blood clots, aiming to prevent them before they happen.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Vanderbilt University Medical Center NIH-funded |
| Lab location | 1 site (Nashville, United States) |
| Project start | September 1, 2023 |
| Project end | May 31, 2028 |
| Funding year | 2025 |
| Award (this year) | $653,107 |
| NIH project number | 5R01HL164482-03 |
| Project ID | NIH-11142579 on NIH RePORTER |
Who could benefit from this research
✓Could help
This work is relevant for hospitalized adults aged 21 years and older who are at risk for developing blood clots.
✕Less likely to help
Patients who are not hospitalized or are under 21 years old would not directly benefit from this specific research.
What this research studies
Dangerous blood clots, called venous thromboembolism (VTE), are a leading cause of preventable deaths in hospitals, and current methods for predicting them haven't improved patient safety much. These existing tools are often difficult for busy doctors to use and don't accurately predict who is at risk or consider bleeding complications. Our team has developed a smarter prediction tool that uses a patient's medical information to calculate their risk of blood clots in real-time. This project will refine and test this new tool to see if it can help doctors make better, faster decisions to protect hospitalized patients.
Why it matters
Potential benefit: If successful, this work could significantly reduce the number of preventable deaths from blood clots in hospitals and make hospital stays safer for patients.
How similar studies have gone: While existing prediction tools have not significantly improved patient outcomes, this new model shows superior prediction performance compared to current methods and aims to overcome their limitations.
Where this research is happening
-
Vanderbilt University Medical Center
Nashville, United States Active
Researchers
- Principal investigator: French, Benjamin — Vanderbilt University Medical Center
- Study coordinator: French, Benjamin
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Personalized risk-prediction for hospital-acquired blood clots in adults
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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.