Identifying different types of sepsis using patient vital signs
Identification of Precision Sepsis Subphenotypes Using Vital Sign Trajectories
This study is looking at different types of sepsis to find better ways to treat patients by using data from their health records, and it’s designed to help doctors make smarter decisions for those who are very sick.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Emory University NIH-funded |
| Lab location | 1 site (Atlanta, United States) |
| Project ID | NIH-10911824 on NIH RePORTER |
What this research studies
This research focuses on using advanced data science techniques to identify unique subtypes of sepsis, a severe and potentially life-threatening condition. By analyzing vital sign patterns and other clinical data from electronic health records, the goal is to develop personalized treatment strategies for critically ill patients. The project involves training a physician-scientist to become an expert in machine learning and clinical informatics, which will enhance the understanding of sepsis and improve patient outcomes. The research aims to create computer-aided diagnostic tools that can help clinicians make better decisions based on real-world data.
Who could benefit from this research
Good fit: Ideal candidates for this research are critically ill patients who are diagnosed with sepsis or at risk of developing it.
Not a fit: Patients with non-sepsis related critical illnesses may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective and tailored treatments for patients suffering from sepsis.
How similar studies have performed: Other research has shown promise in using data science approaches to improve sepsis diagnosis and treatment, indicating that this approach has potential for success.
Where this research is happening
Atlanta, United States
- Emory University — Atlanta, United States (Active)
Researchers
- Principal investigator: Bhavani, Sivasubramanium — Emory University
- Study coordinator: Bhavani, Sivasubramanium
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 below.