Why Quality Real-World Data is Key to the Future of Generative AI in Healthcare

Access to high-quality real-world data (RWD) from routine clinical care is essential to making well-informed decisions in drug research and development. What is high-quality RWD? It’s data that has depth, validity, recency, and comes direct from the source. When planning clinical trials, life sciences companies can save time and money by having reliable, quality RWD. 

By applying generative AI to real-world data, we can identify patterns that can help life sciences companies draw profound insights from the patient journey to streamline drug development.

A great deal of RWD exists in electronic health records (EHR), often in an unstructured format (e.g., clinician notes) where key information such as patient symptoms, test results, image findings, indications for procedures and treatments, and reasons for diagnoses are documented. 

Verana Health specializes in applying advanced artificial intelligence (AI) techniques (e.g., machine learning and natural language processing) to RWD in order to analyze patterns of language in clinician notes that can generate real-world evidence (RWE). By applying generative AI to real-world data, we can identify patterns that can help life sciences companies draw profound insights from the patient journey to streamline drug development.

To generate actionable insights, quality input data and robust analytical models are paramount. Even the best AI models cannot glean meaningful insights from garbage data. Similarly, even with the perfect data, a poorly built analytical process cannot return quality RWE results. The ideal scenario, which Verana Health provides, is having quality data assessed by the appropriate models and associated analyses to generate robust results. 

High-Quality Real-World Data from the Source

The integrity of RWE is fundamentally rooted in the caliber of the data it draws upon. To find hidden insights, you must first begin with comprehensive, accurate, and current patient information from a broad population. Verana Health accomplishes this by collaborating with leading medical societies to curate vast clinical databases that capture real-world patient interactions. 

Through its exclusive partnerships with the American Academy of Ophthalmology IRIS^® Registry (Intelligent Research in Sight) and the American Urological Association (AUA) Quality (AQUA)^® Registry, Verana Health has access to a RWD network of 90 million de-identified patients from 20,000 contributing clinicians, ensuring access to a breadth and depth of data across numerous patient demographics and conditions.

Robust AI Engines and Expert Review

Even with high-quality data, effort is required to transform unstructured notes and multiple EHR formats into usable datasets. Analytical models must be meticulously designed and validated to categorize and sort raw data correctly. 

Verana Health’s VeraQ^® population health data engine exemplifies this by de-identifying, normalizing, harmonizing, and curating EHR data through advanced AI techniques. But we don’t stop at machine output. Our team of expert physicians reviews the output and assesses clinical validation. Our multidisciplinary team also includes clinical informaticians, data scientists, epidemiologists, biostatisticians, engineers and more, who together decide how to curate and standardize the data while retaining its original clinical context. This expert review process ensures that the resulting datasets deliver reliable and clinically relevant insights, enabling stakeholders to trust RWE to guide decisions.

Real-World Data and AI Models in Harmony

When you combine high-quality real-world data and generative AI models, the resulting outputs have the power to help life sciences companies better understand the patient journey. Thoughtfully structured, expert-reviewed RWE can rapidly integrate into an organization’s data ecosystem for data-driven decisions at every step. 

Verana Health’s Qdata^® modules, which are powered by VeraQ, exemplify this synergy across ophthalmology, urology, and neurology. These research-ready, fit-for-purpose datasets equip life sciences companies with insights to help inform clinical research, guide treatment approaches, and drive valuable business insights. 

Remove the Waste from Your Real-World Data

The insights generated from high-quality RWD are not merely data points—they are foundational to improving patient outcomes, reducing research costs, and advancing medical knowledge. It all starts with meaningful data and high-integrity analysis. 

Verana Health offers a wide range of fine-tuned RWD and RWE solutions that can help inform research and improve patient lives.