Thyroid Eye Disease Real-World Data

Roughly 1 million Americans are diagnosed with thyroid eye disease each year. Qdata® can help identify these patients and change the future of managing this condition.

Qdata Thyroid Eye Disease unlocks real-world learnings such as severity and clinical activity for this clinically-validated population of 275,000+ patients that can’t be found anywhere else.

About Qdata Thyroid Eye Disease

Thyroid eye disease (TED) is a condition that occurs in association with autoimmune disease of the thyroid gland in the neck. It can cause inflammation and enlargement of the muscles and fatty tissue behind the eyes in the eye sockets. This can then lead to a patient experiencing dry or watery eyes, pain in the eye socket, disfiguration of the face due to bulging and swollen eyes, loss of vision, and a variety of other issues. TED, however, does not have a unique ICD-10 code, which makes it challenging to identify this patient population, hence the need for more tools to support thyroid eye disease research.


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 Thyroid Eye Disease is curated, high-quality data from the IRIS Registry that provides researchers with a more detailed view of the TED patient journey.


Qdata Thyroid Eye Disease by Verana Health is a research-ready, fit-for-purpose data module that can be used to uniquely identify the TED patient population, as well as better understand disease activity and severity, unlocking valuable insights across the therapeutic development cycle. 

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Exclusive Coverage of the TED Patient Population

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


Uniquely Identified Patient Cohort

TED patients are identified by mining clinical notes in electronic health records (EHRs)

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Detailed View of Disease Activity and Severity

Including designation of TED severity and clinical activity score


By the Numbers


Total de-identified patients with thyroid eye disease (TED)*


Average follow-up time

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**Includes patients with 1+ ICD-10-CM indicating Graves disease, Hashimoto’s disease, Thyrotoxicosis OR 1+ SNOMED-CT for TED OR 1+ clinical note with mention of  teprotumumab OR 1+ clinical note with keywords for TED from the IRIS Registry who are 18+ years old between January 2016 and April 2024.

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Key Variables in Qdata Thyroid Eye Disease Research

Qdata Thyroid Eye Disease provides insights into the entire patient journey, from diagnosis to visual acuity and more. Verana Health provides curated variables extracted from EHR data to be utilized based on your research needs, including:

Confirmation of TED from Clinical Notes

Developed from a rules-based algorithm to determine a patient’s diagnosis from EHR notes.

Visual Acuity

Measures how sharp your vision is at a distance, usually tested by reading an eye chart and is an outcome measure from EHR semi-structured fields.

Clinical Activity Score*

This score determines disease activity and level of inflammatory acidity in the eye, captured in clinical notes.

TED Disease Severity*

Designation of severity between mild, moderate-to-severe, and sight threatening that is found in clinical notes.

*Variable in development

Unstructured EHR Data Provides a Deeper Understanding

Real-world evidence through analysis of quality real-world thyroid eye disease data can change the way patients are treated. Natural language processing (NLP) and machine learning (ML) algorithms can help identify these patients by mining clinical notes, as well as identify key outcomes associated with this condition.

Using Qdata Thyroid Eye Disease, life sciences companies can more easily identify this population, as well as evaluate patient outcomes and generate market insights for existing treatments.


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