Improving clinical decision-making to reduce health disparities using AI
Official title: Real-time Monitoring and Correction of Clinical Decision Support Systems to Reduce Health Disparities
Funded at Boston Children's Hospital · NIH-10882154 · Data updated 2026-11-12
This study is working on smart computer systems that help doctors make better decisions in emergency care, especially for patients who might not always get fair treatment, by using the latest technology and keeping everything up-to-date.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Boston Children's Hospital NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | August 21, 2024 |
| Project end | July 31, 2029 |
| Funding year | 2024 |
| Award (this year) | $729,821 |
| NIH project number | 1R01LM014300-01A1 |
| Project ID | NIH-10882154 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include patients receiving care in emergency departments, particularly those from historically marginalized communities.
✕Less likely to help
Patients who are not receiving care in emergency settings or those who do not belong to marginalized groups may not benefit from this research.
What this research studies
This research develops advanced artificial intelligence and machine learning methods to enhance clinical decision support systems in real-time. By focusing on the integration of ethical considerations into these systems, the project aims to ensure fair treatment across diverse patient populations, particularly those historically marginalized. The approach involves continuous monitoring and updating of decision-making algorithms to adapt to changing clinical practices and workflows, ultimately aiming to improve patient outcomes in emergency care settings.
Why it matters
Potential benefit: If successful, this research could lead to more equitable healthcare delivery and improved health outcomes for underrepresented patient groups.
How similar studies have gone: Other research has shown promise in using AI and machine learning to improve clinical decision-making, but this specific approach focusing on real-time monitoring and ethical considerations is relatively novel.
Where this research is happening
-
Boston Children's Hospital
Boston, United States Active
Researchers
- Principal investigator: La Cava, William — Boston Children's Hospital
- Study coordinator: La Cava, William
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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.