Improving analysis of big data from eye health records
Official title: Novel subsampling and analysis of big data using examples from IRIS ® Registry
Funded at Wills Eye Health System · NIH-10988038 · Data updated 2026-11-12
This study is looking at ways to better understand rare eye diseases by using large amounts of patient data, so we can find out how common these conditions are and what might cause them, ultimately helping doctors take better care of patients like you.
Quick facts
| Grant type | R21 grant |
|---|---|
| Study type | NIH-funded research |
| Funding institution | Wills Eye Health System NIH-funded |
| Lab location | 1 site (Philadelphia, United States) |
| Project start | September 1, 2024 |
| Project end | August 31, 2026 |
| Funding year | 2024 |
| Award (this year) | $217,449 |
| NIH project number | 1R21EY035710-01A1 |
| Project ID | NIH-10988038 on NIH RePORTER |
Who could benefit from this research
✓Could help
Ideal candidates for this research include individuals with rare eye diseases or those who have been part of the IRIS® Registry.
✕Less likely to help
Patients with common eye conditions or those not represented in the IRIS® Registry may not benefit from this research.
What this research studies
This research focuses on enhancing the analysis of large datasets derived from electronic medical records, specifically targeting rare events in ophthalmology. By utilizing data from the Intelligent Research in Sight (IRIS®) Registry, the project aims to develop new computational methods that can efficiently handle the complexities of big data. The goal is to provide more accurate estimates of the prevalence and incidence of rare eye diseases, which can be challenging to study due to their low occurrence rates. Patients' data will be analyzed to identify risk factors and improve understanding of these conditions.
Why it matters
Potential benefit: If successful, this research could lead to better identification and understanding of rare eye diseases, ultimately improving patient care and treatment options.
How similar studies have gone: Previous research utilizing big data from electronic medical records has shown promise in improving outcomes for rare diseases, indicating that this approach may yield valuable insights.
Where this research is happening
-
Wills Eye Health System
Philadelphia, United States Active
Researchers
- Principal investigator: Zhang, Qiang — Wills Eye Health System
- Study coordinator: Zhang, Qiang
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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.