Dry eye disease (DED) is a common disease of the ocular surface. It’s characterized primarily by insufficient tear production or quality. Producing inadequate tears results in symptoms such as eye discomfort, redness, blurred vision, light sensitivity, paradoxal excessive tearing, and dryness. Severe DED can have a significant impact on visual acuity, daily activities, physical functioning and more. ICD-10 codes alone do not provide a complete picture of DED. Results from tests conducted by an ophthalmologist and stored within electronic health record (EHR) data can help determine the types of DED, severity, clinical outcomes, and provide greater segmentation of patients in real-world settings for 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 Dry Eye Disease is a curated, high-quality dataset from the IRIS Registry that provides researchers with information on treatment patterns and outcomes for this patient population.

Qdata Dry Eye Disease by Verana Health is a research-ready, fit-for-purpose data module that can be used to gain better insights into the dry eye disease population. This includes providing information about the severity of DED, the distinction between evaporative or aqueous deficient, and a detailed understanding of patient outcomes through results from the Schirmer’s test and tear break-up time (TBUT).