Using artificial intelligence to improve care for sepsis patients
Official title: Improving sepsis care with AI-based clinical decision support
Funded at University of Pennsylvania · NIH-11132995 · Data updated 2026-11-12
This study is working on using smart computer technology to help doctors quickly spot and treat sepsis, a serious infection, so that patients can get the right care faster and improve their chances of recovery.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Pennsylvania NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project start | July 15, 2024 |
| Project end | May 31, 2029 |
| Funding year | 2025 |
| Award (this year) | $406,250 |
| NIH project number | 5R35GM155262-02 |
| Project ID | NIH-11132995 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients who are suspected of having sepsis or are at high risk for developing this condition in emergency or hospital settings.
✕Less likely to help
Patients with non-infectious conditions or those who are not admitted to emergency departments may not benefit from this research.
What this research studies
This research focuses on enhancing the treatment of sepsis, a life-threatening condition caused by infections, through the use of artificial intelligence (AI) and machine learning (ML). It aims to develop clinical decision support systems that can help healthcare providers quickly identify and treat sepsis in busy emergency and hospital settings. By addressing key gaps in current sepsis definitions and treatment protocols, the project seeks to create more effective predictive systems that can lead to better patient outcomes. Patients will benefit from improved recognition and timely initiation of necessary treatments.
Why it matters
Potential benefit: If successful, this research could significantly reduce mortality and improve recovery rates for patients suffering from sepsis.
How similar studies have gone: While there have been numerous studies on AI systems for sepsis, this research aims to address significant gaps and is positioned to potentially offer novel advancements in clinical decision support.
Where this research is happening
-
University of Pennsylvania
Philadelphia, United States Active
Researchers
- Principal investigator: Weissman, Gary — University of Pennsylvania
- Study coordinator: Weissman, Gary
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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.