Transforming electronic health records into real-world evidence for better patient care
Official title: A data science framework for transforming electronic health records into real-world evidence
Funded at University of California, San Francisco · NIH-10898661 · Data updated 2026-11-12
This study is looking to improve how we use electronic health records to better understand the outcomes for people with Ulcerative Colitis by combining them with data from clinical trials, which could help us learn more about how different treatments work for various groups of patients.
Quick facts
| Grant type | Career grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | University of California, San Francisco NIH-funded |
| Lab location | 1 site (San Francisco, United States) |
| Project start | August 3, 2023 |
| Project end | July 31, 2025 |
| Funding year | 2024 |
| Award (this year) | $89,046 |
| NIH project number | 5K99LM014099-02 |
| Project ID | NIH-10898661 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research are patients diagnosed with Ulcerative Colitis, particularly those who may have been excluded from previous clinical trials.
✕Less likely to help
Patients with conditions other than Ulcerative Colitis or those not represented in the EHR data may not benefit from this research.
What this research studies
This research aims to enhance the use of electronic health records (EHRs) by integrating them with data from randomized controlled trials (RCTs) to create a more accurate representation of patient outcomes. By identifying overlaps between these datasets, the project seeks to emulate the effects observed in RCTs using real-world data, particularly focusing on patients with Ulcerative Colitis. This innovative approach could help in studying patient subgroups that were previously excluded from clinical trials, thereby improving the understanding of treatment effectiveness in diverse populations.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective treatment options for patients based on real-world evidence.
How similar studies have gone: Other research has shown promise in integrating EHR data with RCT data, suggesting that this approach could yield significant insights.
Where this research is happening
-
University of California, San Francisco
San Francisco, United States Active
Researchers
- Principal investigator: Rudrapatna, Vivek Ashok — University of California, San Francisco
- Study coordinator: Rudrapatna, Vivek Ashok
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.