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 for 1.1 Million+ patients.

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.

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Exclusive Coverage of the GA Patient Population

Eye

High-quality, Image-derived Insights

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Comprehensive View into Disease Progression & Severity

Only found here from the IRIS Registry (Intelligent Research in Sight)

Using novel machine learning and computer vision algorithms

From diagnosis to subfoveal involvement and more

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By the Numbers

M+

Total de-identified patients with GA*

+

GA patients with linked ophthalmic images

Clinicians contributing

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*Defined as patients who are 50 years or older and who have an ICD-10 code for GA (H35.31x3,4) or ICD-code for age-related macular degeneration (AMD) and either an image or clinical note indicating geographic atrophy between January 2013 and April 2024.
Data current to April 2024.

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Key Variables in Geographic Atrophy Research

Qdata Geographic Atrophy gives insights into the entire patient journey, from diagnosis to subfoveal involvement and more. Verana Health provides curated variables extracted from EHR data and/or images to be utilized based on your research needs, including:

GA Diagnosis

Diagnosis of patients with geographic atrophy is determined by the ICD-10 code, as well as via notes and images.

Visual Acuity

This outcome measures how well the eye can distinguish objects and shapes from a distance.

Lesion Location

This variable indicates whether the lesion is nonsubfoveal or subfoveal and is derived from ICD-10 codes, images, and notes.

Lesion Growth Rate

To calculate lesion growth rate, there must be at least two imaging visits at least six months apart. Growth rate is faken from FAF images.

Lesion Size, Perimeter, and Count

This includes the specifics of the lesion, as well as how many lesions there are, and are currently derived from FAF images.

Unstructured GA EHR Data Provides a Deeper Understanding

Real-world evidence through analysis of quality real-world geographic atrophy data can change the way patients are treated for this condition. Computer vision (CV) and machine learning (ML) algorithms can transform clinical images into high-quality image data, providing quality, research-ready insights. Verana Health’s Qdata  can provide the right clinical data to help researchers track disease progression, severity, and more.

 

As new treatments are coming to market, real-world data in geographic atrophy is a growing area of focus to support the drug lifecycle from clinical development through to commercialization. Using this data module, life sciences companies can more easily evaluate patient outcomes, identify clinical trial sites, and generate market insights.

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of Medical Data Remains Unstructured

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