Using data science to enhance HIV care and support.
Official title: Harnessing Data Science to Improve HIV Care Continuum Outcomes: A Hybrid Type 2 Trial Evaluating a Machine-Learning Algorithm-Based Implementation Strategy
Funded at Hunter College · NIH-11085691 · Data updated 2026-11-12
This study is testing a new way to help people with HIV by using smart technology to find those who might need urgent care, so they can get the right support before they have to go to the emergency room.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Hunter College NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | March 1, 2025 |
| Project end | January 31, 2030 |
| Funding year | 2025 |
| Award (this year) | $669,291 |
| NIH project number | 1R01MH136903-01A1 |
| Project ID | NIH-11085691 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals living with HIV who may be at risk of emergency department visits due to their health conditions.
✕Less likely to help
Patients who are not living with HIV or those who are already receiving optimal care management may not benefit from this research.
What this research studies
This research aims to improve the care of people living with HIV by implementing a machine-learning algorithm that identifies patients at high risk of needing urgent care. By focusing on those who are most likely to visit the emergency department, the study seeks to provide timely and effective care management services. The approach combines data-driven strategies with comprehensive care coordination to enhance health outcomes and reduce hospital visits. Patients will benefit from a more personalized and proactive care system that addresses their specific needs.
Why it matters
Potential benefit: If successful, this research could lead to improved health outcomes and reduced emergency visits for patients living with HIV.
How similar studies have gone: Previous research has shown that data-driven care management strategies can effectively improve health outcomes for chronic conditions, suggesting potential success for this novel approach.
Where this research is happening
-
Hunter College
New York, United States Active
Researchers
- Principal investigator: Golub, Sarit a — Hunter College
- Study coordinator: Golub, Sarit a
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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.