Using machine learning to improve emergency medical transport in rural Alaska
Machine Learning Models of Appropriate Medevac Utilization in Rural Alaska
This study is working on using smart computer tools to help improve emergency medical transport in rural Alaska, especially for communities that need it the most, so that everyone can get the care they need when they need it.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Stanford University NIH-funded |
| Lab location | 1 site (Stanford, United States) |
| Project ID | NIH-11063967 on NIH RePORTER |
What this research studies
This research aims to develop machine learning models that enhance decision-making for emergency medical transport in rural Alaska, particularly for underserved populations. By leveraging advanced data management and computational statistics, the project seeks to address health disparities in emergency care. The approach includes community engagement and participatory methods to ensure the models are equitable and effective. The research is led by Dr. Brian Rice, an emergency medicine physician with expertise in epidemiology and artificial intelligence.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals living in rural Alaska who may require emergency medical transport.
Not a fit: Patients living outside of rural Alaska or those who do not require emergency medical services may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to more efficient and equitable emergency medical transport for patients in rural Alaska.
How similar studies have performed: Previous research has shown success in using machine learning to improve healthcare delivery, suggesting potential for this approach in addressing emergency transport issues.
Where this research is happening
Stanford, United States
- Stanford University — Stanford, United States (Active)
Researchers
- Principal investigator: Rice, Brian Travis — Stanford University
- Study coordinator: Rice, Brian Travis
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.