Beyond ICD Codes: Leveraging Real-World EHR Data For Deeper Insights Into Ophthalmic Conditions

In ophthalmology research and drug development, reliance on broad ICD-10 codes often obscures critical clinical details that are essential for precise patient stratification and safety assessment. Verana Health’s Qdata^® platform overcomes these limitations by integrating structured ICD fields with unstructured EHR clinical notes, ophthalmic images, and exam findings. Through advanced NLP and ML models, Qdata extracts granular insights that ICD codes alone cannot deliver.

Case studies highlight successful applications across multiple conditions: active uveitic macular edema identification without a dedicated ICD code; AI-driven site selection and recruitment for chronic induced corneal pain trials; expansion of geographic atrophy cohorts; and precise thyroid eye disease and dry eye disease characterization in cohorts totaling millions. By enriching trial design, patient identification, site optimization, treatment-pattern analysis, and market tracking, this approach accelerates the formulation of targeted therapies and enhances real-world evidence generation.