Geographic Atrophy Real-World Data
Before 2023, there was no treatment for geographic atrophy.
Qdata can change the future of managing this condition.
Qdata Geographic Atrophy (GA) unlocks new real-world research possibilities by linking electronic health records (EHR) and ophthalmic imaging data for a comprehensive view into the GA patient journey. Get exclusive access to curated variables such as visual acuity, subfoveal involvement, and more.
Key Data Elements
GA Diagnosis
Visual Acuity
Lesion Location
Lesion Growth Rate
Lesion Size, Perimeter, and Count
By the Numbers
About Qdata® Geographic Atrophy
Geographic atrophy, a condition that affects large portions of the retina and its functionality, impacts millions of people. This condition can cause vision loss that is irreversible and eventually lead to blindness. Because of this, geographic atrophy research is becoming increasingly important for patients struggling with this condition.
Verana Health is the exclusive real-world data curation and analytics partner of the American Academy of Ophthalmology IRIS® Registry (Intelligent Research in Sight). Qdata Geographic Atrophy is curated data from the IRIS Registry to give researchers a comprehensive view of the geographic atrophy patient journey.
Qdata Geographic Atrophy by Verana Health is a research-ready, fit-for-purpose data module that can be used to inform disease progression, unlocking valuable insights across the clinical and drug development cycle.
Evidence in Action
Exclusive Coverage of the GA Patient Population
Only found here from the IRIS Registry® (Intelligent Research in Sight).
High-quality, Image-derived Insights
Using novel machine learning and computer vision algorithms
Comprehensive View into Disease Progression & Severity
From diagnosis to subfoveal involvement and more
Custom Data Curation
Need data tailored to your exact study design requirements?
Our purpose-built, fit-for-purpose datasets are designed to support rigorous research and confident decision-making. These datasets can be tailored
around custom inclusion and exclusion criteria, in addition to including all standard abstracted data elements.
Ready to Explore the Geographic Atrophy Dataset?
Connect with our team to discuss your research objectives and receive a tailored data overview.