Finding early signs of sepsis before hospital care
Identifying pre-sepsis opportunities for early, targeted intervention
This project uses electronic health records and AI to spot early warning signs of sepsis so people at risk might get treatment sooner.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Kaiser Foundation Research Institute NIH-funded |
| Lab location | 1 site (Oakland, UNITED STATES) |
| Project ID | NIH-11163303 on NIH RePORTER |
What this research studies
You would be part of work that looks at detailed health record data to find how infections start and progress before sepsis develops. The team uses advanced computer and machine-learning methods to create prediction tools that flag pre-sepsis risk. They will test these tools in different patient groups and run them in real-time within electronic health record systems to see how they perform. The program also studies added screening and diagnostic checks that could be used alongside the AI tools to guide early care.
Who could benefit from this research
Good fit: Ideal candidates would be people receiving care in the participating health system who have infections or early signs that might put them at risk for developing sepsis, such as older adults or those with chronic illnesses.
Not a fit: People without infection-related symptoms, those treated entirely outside the participating health system, or those with conditions not captured by the EHR tools may not see direct benefit from this work.
Why it matters
Potential benefit: If successful, this could help clinicians detect dangerous infections earlier and prevent some cases of sepsis, reducing deaths and hospital complications.
How similar studies have performed: Some AI-based sepsis prediction efforts have shown promise but results have been mixed and real-time, prospective validation in clinical settings remains limited.
Where this research is happening
Oakland, UNITED STATES
- Kaiser Foundation Research Institute — Oakland, United States (Active)
Researchers
- Principal investigator: Liu, Vincent — Kaiser Foundation Research Institute
- Study coordinator: Liu, Vincent
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.