Improving clinical alerts using explainable artificial intelligence
Optimizing Clinical Decision Support Alerts Using Explainable Artificial Intelligence (XAI)
This study is looking to make health alerts in doctors' electronic records more helpful and easier to understand, so that doctors can trust and use them better, ultimately keeping patients safer.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Vanderbilt University Medical Center NIH-funded |
| Lab location | 1 site (Nashville, United States) |
| Project ID | NIH-10892990 on NIH RePORTER |
What this research studies
This research aims to enhance the effectiveness of clinical decision support alerts within electronic health records by utilizing explainable artificial intelligence (XAI). It addresses the issue of low acceptance rates for these alerts, which can lead to clinician fatigue and potentially compromise patient safety. By analyzing large datasets of alert responses, the study seeks to develop predictive models that can automatically refine alert logic and improve clinical processes. This approach promises to make alerts more relevant and actionable for healthcare providers.
Who could benefit from this research
Good fit: Ideal candidates for this research include patients receiving care in settings where electronic health records and clinical decision support systems are utilized.
Not a fit: Patients who do not interact with electronic health records or are not in clinical settings that utilize decision support alerts may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more effective clinical alerts, improving patient safety and outcomes during critical care situations.
How similar studies have performed: Other research has shown promise in using artificial intelligence to enhance clinical decision-making, indicating that this approach may lead to significant advancements.
Where this research is happening
Nashville, United States
- Vanderbilt University Medical Center — Nashville, United States (Active)
Researchers
- Principal investigator: Liu, Siru — Vanderbilt University Medical Center
- Study coordinator: Liu, Siru
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.