Using artificial intelligence to improve care for sepsis patients
Improving sepsis care with AI-based clinical decision support
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 ID | NIH-11132995 on NIH RePORTER |
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.
Who could benefit from this research
Good fit: 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.
Not a fit: Patients with non-infectious conditions or those who are not admitted to emergency departments may not benefit from this research.
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 performed: 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
Philadelphia, United States
- University of Pennsylvania — Philadelphia, United States (Active)
Researchers
- Principal investigator: Weissman, Gary — University of Pennsylvania
- Study coordinator: Weissman, Gary
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.