Patient Segmentation

Uncover Patient Cohorts Based on Real-World Data to Unlock Deeper Insights

The Patient Segmentation Solution from Verana Health leverages Qdata®, which are fit-for-purpose datasets, to deliver robust real-world evidence (RWE) that can help enhance your understanding of patient populations.

By going beyond basic demographics and structured codes, this solution empowers life sciences companies to identify and classify patients based on detailed clinical data, treatment pathways, and outcomes, many of which are derived from unstructured clinical electronic health record (EHR) notes.

Deep, Real-World Patient Segmentation Solutions

Verana Health utilizes curated EHR data from the American Academy of Ophthalmology IRIS® Registry (Intelligent Research in Sight) and the American Urological Association (AUA) Quality (AQUA)® Registry to unlock new ways of identifying and understanding patient populations. Our data-driven approach enables nuanced patient classification, helping you to:

Discover unique demographic-specific subgroups within disease populations
Identify patients at different stages of disease progression
Segment patients by therapy, comorbidities, or clinical outcomes
Refine recruitment for clinical trials by targeting precise patient profiles

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Why Choose Verana Health’s Patient Segmentation Solution?

Granular Insights into Ophthalmic and Urologic Conditions

Verana Health’s Patient Segmentation Solution leverages EHR data from two of the most comprehensive specialty clinical data registries. This provides access to more than 500 million patient encounters documented in EHRs, enabling more granular, evidence-based patient profiling.

Tailored Segmentation to Drive Research and Innovation

Whether you're developing rare disease therapies or refining market strategies, Verana Health offers flexible segmentation models. With direct data access or through an insights project, study patient groups based on criteria, such as:

Disease type and severity
Specific patient outcomes
Type or brand of therapy
Co-occurring conditions

Advanced Analytics to Support Decision-Making

By applying artificial intelligence, such as machine learning and natural language processing to RWE, Verana Health ensures that your segmented patient data is not just clinically accurate but actionable.

Our advanced data insights empower you to make informed, data-driven decisions that can help improve product development, enhance trial recruitment, and optimize market access strategies.

Use Cases for Our Real-World Patient Segmentation Solution

Clinical Research: Find patients who meet precise inclusion/exclusion criteria for clinical trials. View a Case Study.

Real-World Evidence (RWE) Studies: Segment patient data for longitudinal studies to understand treatment effectiveness across various subpopulations. View a Case Study.

Commercial Strategy: Tailor your go-to-market approach based on patient characteristics and geographic distribution. Learn more about how we can help drive Commercial Strategies.

Safety and Surveillance: Identify patient cohorts for post-marketing surveillance and safety studies, ensuring ongoing pharmacovigilance. View a white paper.

Unparalleled Access to Rich, Curated Data

With Verana Health’s Patient Segmentation Solution, you’ll gain access to unparalleled real-world data, allowing you to:

Optimize Clinical Trial Design: Segment patients based on highly relevant clinical criteria to improve recruitment and optimize outcomes.
Tailor Patient Management: Understand patient subgroups that respond differently to treatments, facilitating more personalized therapeutic approaches.
Improve Patient Outcomes: Use patient segmentation from real-world data to assess potential disparities in access to care and treatments, improving overall health outcomes and quality of life.