Smarter clinic tools to keep people with HIV on treatment
Data Science for Decision Support in the HIV Care Cascade
This work builds computer-based decision tools to help clinics in low- and middle-income countries keep adults with HIV on treatment and reach viral suppression.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Brown University NIH-funded |
| Lab location | 1 site (Providence, United States) |
| Project ID | NIH-11235102 on NIH RePORTER |
What this research studies
If I'm a patient, the project takes routine clinic information and uses computer learning to notice who might miss appointments, stop ART, or not reach viral suppression. Those predictions power simple decision-support tools that help clinic staff prioritize outreach, reminders, and tailored support in PEPFAR-supported clinics. The team works with local clinics in low- and middle-income countries to build and test these tools using real patient data and provider feedback. The aim is to help care teams act earlier so fewer people fall out of care and more reach viral suppression.
Who could benefit from this research
Good fit: Adults (age 21+) living with HIV who receive care at participating clinics in low- and middle-income countries, especially those who miss visits or struggle with adherence, are the ideal candidates.
Not a fit: People not receiving care at participating clinics, children or adolescents under 21, or those already stably retained and virally suppressed are less likely to see direct benefit.
Why it matters
Potential benefit: If successful, this could help clinics intervene earlier to keep people on ART and increase the number reaching viral suppression, reducing onward transmission.
How similar studies have performed: Other clinical decision-support systems and some machine-learning approaches have improved guideline adherence and retention in care, but applying these combined methods across PEPFAR-supported LMIC clinics remains relatively new.
Where this research is happening
Providence, United States
- Brown University — Providence, United States (Active)
Researchers
- Principal investigator: Hogan, Joseph W — Brown University
- Study coordinator: Hogan, Joseph W
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.