Better ways to check and use medical-record data for people with HIV
Official title: Statistical methods and designs for correlated outcome and covariate errors in studies of HIV/AIDS
Funded at Vanderbilt University Medical Center · NIH-11469941 · Data updated 2026-11-12
This project creates methods to combine routine medical records with carefully checked samples so HIV research gives more accurate answers for people living with HIV.
Quick facts
| Grant type | R37 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Vanderbilt University Medical Center NIH-funded |
| Lab location | 1 site (Nashville, United States) |
| Project start | January 25, 2018 |
| Project end | January 31, 2028 |
| Funding year | 2026 |
| Award (this year) | $8,774 |
| NIH project number | 3R37AI131771-09S1 |
| Project ID | NIH-11469941 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates are people living with HIV whose medical records are held at participating clinics or databases and who could have a subset of their records validated.
✕Less likely to help
People without EHRs at participating sites or whose records are not selected for validation are unlikely to be directly involved or to see immediate benefits.
What this research studies
Researchers will build statistical methods and software that combine routine electronic health record (EHR) data with smaller sets of records that are validated by experts. They will design efficient, multi-wave strategies to choose which patient records to re-check in order to correct errors that affect several measurements at once. The methods aim to remove bias and tighten estimates so study results are more trustworthy. These approaches will be tested using existing HIV datasets such as the International epidemiology Databases to Evaluate AIDS (IeDEA).
Why it matters
Potential benefit: If successful, this work could make HIV research based on medical records more reliable, leading to better-informed clinical guidelines and care for people with HIV.
How similar studies have gone: Related methods have been developed and applied to HIV datasets (including IeDEA) before, and this project extends those approaches to handle correlated errors and optimal validation designs.
Where this research is happening
-
Vanderbilt University Medical Center
Nashville, United States Active
Researchers
- Principal investigator: Shepherd, Bryan Earl — Vanderbilt University Medical Center
- Study coordinator: Shepherd, Bryan Earl
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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.