Improving diabetes risk prediction using health records
Official title: New Risk Models for Diabetes Complications Using Electronic Health Records
Funded at Kaiser Foundation Research Institute · NIH-11139523 · Data updated 2026-11-12
This study is looking at how diabetes affects different people in various ways by using health records, so doctors can better predict and manage complications for everyone, especially those from underrepresented groups.
Quick facts
| Grant type | R01 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Kaiser Foundation Research Institute NIH-funded |
| Lab location | 1 site (Oakland, UNITED STATES) |
| Project start | April 1, 2022 |
| Project end | March 31, 2026 |
| Funding year | 2025 |
| Award (this year) | $688,228 |
| NIH project number | 5R01DK132252-04 |
| Project ID | NIH-11139523 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals with adult-onset diabetes, particularly those from diverse racial and ethnic backgrounds.
✕Less likely to help
Patients who do not have diabetes or those who are not part of the targeted racial and ethnic groups may not benefit from this research.
What this research studies
This research aims to develop new models for predicting complications related to diabetes by utilizing electronic health records from a diverse patient population. By analyzing data from Kaiser Permanente Southern California, the study seeks to understand how diabetes progression varies among different racial and ethnic groups, particularly focusing on underrepresented populations. The goal is to create more accurate risk assessments that can help healthcare providers better manage diabetes and its complications for their patients.
Why it matters
Potential benefit: If successful, this research could lead to more personalized and effective management strategies for diabetes, reducing complications and improving patient outcomes.
How similar studies have gone: Previous research has shown that utilizing electronic health records can enhance risk prediction models, indicating a promising approach for this study.
Where this research is happening
-
Kaiser Foundation Research Institute
Oakland, United States Active
Researchers
- Principal investigator: Nau, Claudia Leonie — Kaiser Foundation Research Institute
- Study coordinator: Nau, Claudia Leonie
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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.