Diabetes surveillance network using electronic health records in the Chicago area
Official title: Chicago Area Surveillance, Statistics, and Analysis Network for Diabetes, with Representative Ascertainment
Funded at Lurie Children's Hospital of Chicago · NIH-11418691 · Data updated 2026-11-12
A nationwide diabetes monitoring effort is expanding to Chicago to use electronic health records to identify and track diabetes cases, complications, and treatment patterns in youth and young adults.
Quick facts
| Grant type | NIH-funded research |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Lurie Children's Hospital of Chicago NIH-funded |
| Lab location | 1 site (Chicago, United States) |
| Project start | September 30, 2025 |
| Project end | September 29, 2027 |
| Funding year | 2026 |
| Award (this year) | $700,000 |
| NIH project number | 5U18DP006911-02 |
| Project ID | NIH-11418691 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates are individuals under 18 years old or young adults up to 44 who have or are at risk for diabetes and who receive care within CAPriCORN–affiliated systems in the Chicago area.
✕Less likely to help
Some individuals whose data are used for public health surveillance may not directly benefit from this research, though their de-identified information supports broader insights.
What this research studies
This project aims to improve how we detect new and existing diabetes cases in the Chicago area by using data from multiple health systems. Researchers will develop and apply algorithms to identify diabetes by type, track complications, and analyze how medications are used, drawing from CAPriCORN and other contributors. The work will involve collaboration with the Chicago Department of Public Health to create a scalable surveillance network that can inform public health actions and ensure accurate, timely data for families affected by diabetes. Participants are not being recruited for a traditional clinical trial, but de-identified patient data and biosamples (where applicable) could be used to refine surveillance methods and validate findings.
Why it matters
Potential benefit: Better, faster, and more accurate monitoring of diabetes in the community could guide public health decisions and improve care for patients and families.
How similar studies have gone: Previous diabetes surveillance networks demonstrated that EHR-based approaches can identify cases and inform public health actions, though challenges remain in multi-system data integration.
Where this research is happening
-
Lurie Children's Hospital of Chicago
Chicago, United States Active
Researchers
- Principal investigator: Rosenman, Marc B — Lurie Children's Hospital of Chicago
- Study coordinator: Rosenman, Marc B
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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.