Using AI to improve responses to patient deterioration in hospitals
Official title: Timely Response to In-Hospital Deterioration Through Design of Actionable Augmented Intelligence
Funded at Idaho State University · NIH-10654692 · Data updated 2026-11-12
This study is working on smart computer programs that help doctors spot when patients in the hospital are getting worse, like with conditions such as sepsis or kidney problems, so they can act quickly and improve care for everyone.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Idaho State University NIH-funded |
| Lab location | 1 site (Pocatello, United States) |
| Project start | July 15, 2020 |
| Project end | June 30, 2025 |
| Funding year | 2023 |
| Award (this year) | $397,867 |
| NIH project number | 5R01GM137083-04 |
| Project ID | NIH-10654692 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include hospitalized patients at risk of conditions like sepsis and acute kidney injury.
✕Less likely to help
Patients who are not currently hospitalized or those with stable, non-critical conditions may not benefit from this research.
What this research studies
This research focuses on developing advanced artificial intelligence (AI) models to predict and respond to in-hospital patient deterioration, such as sepsis and acute kidney injury. By utilizing automated clinical surveillance, the project aims to enhance early detection and improve clinical workflows, ultimately reducing preventable deaths and complications. The study will explore how AI risk information can be effectively integrated into hospital practices, ensuring that healthcare providers can respond promptly to critical situations. The research will also consider user perspectives to design AI systems that are both effective and user-friendly.
Why it matters
Potential benefit: If successful, this research could significantly reduce preventable deaths and complications in hospitalized patients by enabling quicker and more accurate responses to deteriorating health conditions.
How similar studies have gone: Other research has shown promise in using AI for clinical decision-making, indicating that this approach could lead to significant advancements in patient care.
Where this research is happening
-
Idaho State University
Pocatello, United States Active
Researchers
- Principal investigator: Madaras-Kelly, Karl J. — Idaho State University
- Study coordinator: Madaras-Kelly, Karl J.
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.