Using AI to identify women in Florida who need HIV testing and prevention
AI-based Clinical decision support to idenTify wOmeN for HIV testing and PrEP in Florida (ACTION-HIV)
This study is working on a smart system that helps doctors find women in Florida who might be at risk for HIV, so they can get tested and access prevention options like PrEP more easily.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of Florida NIH-funded |
| Lab location | 1 site (Gainesville, United States) |
| Project ID | NIH-10924360 on NIH RePORTER |
What this research studies
This research aims to develop an AI-based clinical decision support system to identify women at risk for HIV in Florida. By analyzing electronic health records and community-level data, the project seeks to create a tailored HIV risk prediction model specifically for women. The model will help healthcare providers better identify candidates for HIV testing and pre-exposure prophylaxis (PrEP), ultimately improving access to these vital services. The study will also assess how well this model can be integrated into existing healthcare systems.
Who could benefit from this research
Good fit: Ideal candidates for this research are women in Florida who may be at risk for HIV and are not currently receiving testing or PrEP.
Not a fit: Patients who are not women or those who are already receiving adequate HIV prevention services may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could significantly increase the number of women receiving timely HIV testing and prevention services.
How similar studies have performed: Previous research has shown success in using AI and electronic health records for risk prediction in men, but this approach for women is novel and untested.
Where this research is happening
Gainesville, United States
- University of Florida — Gainesville, United States (Active)
Researchers
- Principal investigator: Liu, Yiyang — University of Florida
- Study coordinator: Liu, Yiyang
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.