Improving the use of electronic health records for better patient research outcomes
Official title: Adjusting for selection bias due to missing eligibility data in electronic health records-based observational studies
Funded at Harvard School of Public Health · NIH-10996973 · Data updated 2026-11-12
This study is working on ways to make sure that research using electronic health records gives a clearer picture of how treatments work for everyone, even when some patient information is missing.
Quick facts
| Grant type | Fellowship grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Harvard School of Public Health NIH-funded |
| Lab location | 1 site (Boston, United States) |
| Project start | September 1, 2024 |
| Project end | August 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $41,656 |
| NIH project number | 1F31DK141237-01 |
| Project ID | NIH-10996973 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals whose health data is recorded in electronic health records, particularly those with conditions like diabetes or other chronic illnesses.
✕Less likely to help
Patients who do not have their health data recorded in electronic health records or those with very rare conditions may not benefit from this research.
What this research studies
This research focuses on enhancing the accuracy of observational studies that utilize electronic health records (EHR) by addressing the issue of missing eligibility data. It aims to develop methods to adjust for selection bias that can occur when patients with incomplete data are excluded from analysis. By employing advanced statistical techniques, the research seeks to ensure that the findings from EHR-based studies are more representative of the entire patient population. This could lead to more reliable conclusions about treatment effectiveness and patient outcomes.
Why it matters
Potential benefit: If successful, this research could lead to more accurate and inclusive health studies, ultimately improving treatment decisions and patient care.
How similar studies have gone: Other research has shown success in using statistical methods to address biases in observational studies, indicating that this approach has potential for meaningful advancements.
Where this research is happening
-
Harvard School of Public Health
Boston, United States Active
Researchers
- Principal investigator: Benz, Luke S — Harvard School of Public Health
- Study coordinator: Benz, Luke S
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.