Matching patients using electronic health data
Official title: SMILE-PD: Similarity Matching In Longitudinal Electronic Patient Data
Funded at Weill Medical Coll of Cornell Univ · NIH-10922821 · Data updated 2026-11-12
This study is working on a smarter way to match patients for medical research by using technology to look at health records, making it easier to find people with similar health backgrounds, so that treatments can be more personalized and effective for everyone involved.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Weill Medical Coll of Cornell Univ NIH-funded |
| Lab location | 1 site (New York, United States) |
| Project start | September 6, 2023 |
| Project end | July 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $228,825 |
| NIH project number | 5R21LM014454-02 |
| Project ID | NIH-10922821 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are individuals diagnosed with adult-onset diabetes mellitus who are interested in contributing to personalized medicine initiatives.
✕Less likely to help
Patients who do not have adult-onset diabetes or those who are not part of the All of Us Research Program may not benefit from this research.
What this research studies
This research focuses on improving the way patients are matched for clinical studies by using advanced algorithms to analyze electronic health records. It aims to create groups of patients who are similar in their health characteristics, which can lead to more accurate and reliable medical research outcomes. By developing an easy-to-use interface, researchers will be able to specify criteria for matching patients, ensuring that the cohorts used in studies are well-defined and relevant. This approach is part of the All of Us Research Program, which seeks to personalize medical treatment based on individual differences.
Why it matters
Potential benefit: If successful, this research could lead to more precise and effective treatments for patients with adult-onset diabetes and other chronic conditions.
How similar studies have gone: Other research initiatives have successfully utilized similar patient matching algorithms, indicating a promising approach for this project.
Where this research is happening
-
Weill Medical Coll of Cornell Univ
New York, United States Active
Researchers
- Principal investigator: Weiner, Mark G — Weill Medical Coll of Cornell Univ
- Study coordinator: Weiner, Mark G
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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.