Real-World Data for Other Ophthalmic Conditions

Ophthalmology Real-World Data.

Qdata® Can Unlock Insights on a Range of Ophthalmic Conditions.

Meet with a Qdata Expert at Verana Health today to understand if Ophthalmology Qdata includes data that could help support your next research project. Request a data count today.

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About Ophthalmology Qdata

Ophthalmology real-world data can provide insights into the diagnosis, progression, and treatment of ophthalmic conditions and diseases.

The use of ophthalmology real-world data from structured and unstructured electronic health records (EHRs) can inform real-world evidence, allowing for a larger group of patients to be identified and studied. 

Verana Health is an exclusive analytics and data curation partner for the American Academy of Ophthalmology IRIS® Registry (Intelligent Research in Sight). Our research ready and fit-for-purpose data modules can drive business decisions from informing clinical trial design, to studying treatment patterns and outcomes, to tracking real-world therapy usage.

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Qdata for Ophthalmology Research

New research ready ophthalmology real-world data modules are continuously in development. Check back for updates.

Qdata Available

Anti-VEGF

With Verana Health’s Anti-VEGF Market Tracker, you’ll have access to real-world usage data with anti-VEGF therapies for patients with retinal conditions.

Geographic Atrophy (GA)

Key variables for this condition include visual acuity, lesion location, GA diagnosis, lesion growth Rate, and lesion perimeter, size, and count.

Cataracts

Key variables include visual acuity, intraocular pressure (IOP) reading and intraocular lens (IOL) brand/model.

Glaucoma

Key variables include MIGS device brand, intraocular pressure (IOP), Visual acuity, and medication.

Dry Age-related Macular Degeneration (dAMD)

Key variables extracted from EHR data for this condition include geographic atrophy diagnosis and visual acuity.

Thyroid Eye Disease (TED)

Key variables include visual Acuity, confirmation of TED from clinical notes, TED Disease Severity, and clinical activity score.

Uveitic Macular Edema (UME)

Key variables include central subfield thickness (CST) and visual acuity.

Wet Age-related Macular Degeneration (nAMD)

Key variables are extracted from EHR data. These variables include central subfield thickness (CST) and visual acuity.

Diabetic Retinopathy (DR)

Key variables include central subfield thickness (CST) and visual acuity.

Retinitis Pigmentosa

Visual acuity and central subfield thickness are key variables curated from semi-structured fields.

Qdata in Development

Other Ophthalmic Conditions

Retinal Vein Occlusion (RVO)

Looking for data on a certain therapy or disease area not listed? Verana Health can work with Life Sciences companies to create Qdata modules that are fit for specific research purposes on select diseases or therapies.

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Read More About Ophthalmology Qdata

Check out research, blogs and news related to our work in real-world ophthalmology research data.

Blog

Largest Real-World Dataset of its Kind to Help Advance Treatments for Dry Eye Disease

April 2024
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Blog

Combining Ophthalmic Images With EHR Data Provides an Enhanced Understanding of the Geographic Atrophy Patient Journey

June 2023
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Press

Verana Health Unveils Qdata Anti-VEGF Market Tracker

March 2023
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Qdata

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