About Qdata
Qdata® by Verana Health are research ready, fit-for-purpose data modules designed to confidently drive business insights and inform research outcomes. Qdata spans ophthalmology, neurology, and urology to help unlock quality insights across the entire drug and device development cycle.
Exclusive Coverage of the GA Patient Population
High-quality, Image-derived Insights
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
By the Numbers
Total de-identified patients with GA*
GA patients with linked ophthalmic images
Clinicians contributing
*Defined as ICD-10 code for GA (H35.31x3,4) or ICD-code for age-related macular degeneration (AMD) and clinical note on the same day of AMD diagnosis indicating geographic atrophy between 2013 and 2022. Data current to April 2023. Data counts represented are subject to change. Data counts for research purposes are dependent on project scope, feasibility and integration status.
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Key Variables in Qdata Geographic Atrophy
Curated variables extracted from EHR data and/or images to be utilized based on your research needs.
GA Diagnosis
Visual Acuity
Subfoveal Involvement
Lesion Size
Lesion Count
Lesion Growth Rate
Unstructured Data Enables Deeper Understanding
Verana Health applies clinician-informed algorithms to unstructured EHR data and ophthalmic images at scale to extract key information such as visual acuity, lesion size, count and growth rate, subfoveal involvement and more.
This can give life sciences companies unprecedented insights into the GA patient journey, GA disease progression, as well as track treatment patterns and outcomes as more therapies come to market.
0%
of Medical Data Remains Unstructured
Read More About Qdata Geographic Atrophy
Check out research, blogs and news related to our work in Geographic Atrophy.
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