
ABOUT VERANA HEALTH
Verana Health® is revolutionizing patient care and clinical research by unlocking the potential of real-world data. Verana Health has an exclusive real-world data network of 90 million de-identified patients from more than 20,000 clinicians, stemming from its exclusive data partnerships with leading medical societies. Verana Health harnesses deep expertise, secure advanced technology, and direct access to exclusive, near real-time data sources to deliver actionable quality insights that help companies make sense of the data. For more information, visit www.veranahealth.com.
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FEATURED CONTENT
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Expanding The Role Of External Control Arms
External control arms (ECAs) are transforming clinical trials by enhancing efficiency, reducing costs, and addressing ethical challenges.
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What Is The Role Of Large Language Models In RWE Generation?
Large language models (LLMs) are generative AI models that can analyze and curate large amounts of RWD - at an unprecedented scale and speed - to generate real-world evidence (RWE).
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How Can RWE Inform Clinical Trial Design In Drug Development?
RWE empowers researchers to streamline patient recruitment, choose data-driven trial sites, engage in adaptive trial design, and uncover new treatment possibilities.
FEATURED ARTICLES
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RWE empowers researchers to streamline patient recruitment, choose data-driven trial sites, engage in adaptive trial design, and uncover new treatment possibilities.
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As the complexity and financial burden of clinical trials in urology and uro-oncology escalate, the need for innovative strategies in patient identification and site selection becomes paramount.
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How are the insights provided by real-world data (RWD) enhancing benign prostatic hyperplasia (BPH) research and treatment options?
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In today’s healthcare landscape, the focus of real-world evidence has shifted from sheer database size to the quality, granularity, and actionable insights derived from detailed, de-identified patient-level data.
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Large language models (LLMs) are generative AI models that can analyze and curate large amounts of RWD - at an unprecedented scale and speed - to generate real-world evidence (RWE).
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Artificial intelligence and machine learning are redefining RWD utilization in healthcare by transforming vast, unstructured EHR narratives into actionable insights.
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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.
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Regulatory bodies like the FDA and EMA now prioritize real-world data in clinical research. Learn more about its value in enhancing drug development, regulatory decisions, and patient outcomes.
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Healthcare generates vast real-world data, much of it unstructured. Unlocking its value through AI, ML, and NLP requires not just technology but rigorous data validation and integrity.
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Clinical trials face staggering failure rates and inefficiencies. Discover how AI and real-world evidence streamline patient recruitment and trial design to help reshape the future of clinical research.
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Advancements in AI and cloud computing are revolutionizing RWE by enabling the development of predictive models and tracking the patient journeys of individuals with geographic atrophy (GA).
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Explore how real-world data (RWD) can be mixed together like ingredients to form a spectacular "cake", or in the case of this metaphor, real-world evidence (RWE).
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Regulatory agencies such as the U.S. FDA and the EMA are increasingly recognizing the value of real-world data (RWD) in shaping clinical research and informing regulatory decisions.
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Learn how harnessing RWD to create actionable RWE is propelling advancements in personalized medicine toward a more precise, efficient, and patient-centered future in healthcare.
CONTACT INFORMATION
Verana Health
360 Third Street #425
San Francisco, CA 94107
UNITED STATES
Phone: (925) 876-2328
Contact: Craig Morgan, Vice President of Marketing
WHITE PAPERS
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External control arms (ECAs) are transforming clinical trials by enhancing efficiency, reducing costs, and addressing ethical challenges.
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The pharmaceutical industry faces soaring costs and shrinking ROI. Discover why leveraging rich real-world data is now essential for driving efficiency, innovation, and competitive advantage.
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As the global reliance on algorithms and artificial intelligence (AI) continues to grow, the importance of data quality and completeness has become a critical concern.
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Integrating AI with real-world urology data revolutionizes non-muscle invasive bladder cancer care to enable deeper insights into disease patterns, treatment outcomes, and personalized therapies.
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The 2024 IRIS® Registry Industry Report showcases the transformative power of real-world data (RWD) in ophthalmology.
CUSTOMER STORIES
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With FDA grant support, the American Academy of Ophthalmology and Verana Health conducted the largest real-world study to date on intraocular lens (IOL) use in pediatric cataract patients.
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In this study, we can derive confirmation of DEXTENZA’s favorable safety profile across a broader surgical spectrum.
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Leveraging a partnership with Verana, Sight Sciences facilitated the reversal of a Limited Coverage Determination that threatened the utilization of one of their surgical system in glaucoma treatments.
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This study highlights the use of an RWD-driven, AI-enabled recruitment models as a transformative strategy for clinical development in hard-to-recruit populations.
VIDEOS
DATASHEETS
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These high-quality, fit-for-purpose data modules are tailored to conditions such as prostate cancer, benign prostatic hyperplasia (BPH), non-muscle invasive bladder cancer (NMIBC), and more.
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This platform ingests structured and unstructured EHR data, harmonizes and links it across datasets, and curates it using advanced natural language processing and machine learning.
REPORTS
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The 2024 IRIS® Registry Industry Report showcases the transformative power of real-world data (RWD) in ophthalmology.