Improving diabetes risk prediction using health records
New Risk Models for Diabetes Complications Using Electronic Health Records
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 ID | NIH-11139523 on NIH RePORTER |
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.
Who could benefit from this research
Good fit: Ideal candidates for this research include individuals with adult-onset diabetes, particularly those from diverse racial and ethnic backgrounds.
Not a fit: 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.
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 performed: 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
Oakland, UNITED STATES
- Kaiser Foundation Research Institute — Oakland, United States (Active)
Researchers
- Principal investigator: Nau, Claudia Leonie — Kaiser Foundation Research Institute
- Study coordinator: Nau, Claudia Leonie
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 below.