Real-world data

As the healthcare data landscape continues to evolve and transform, the ability to discover and evaluate real-world data (RWD) with speed and precision is a critical advantage. For life sciences organizations conducting clinical research, health economics and outcomes research (HEOR), and post-marketing surveillance, faster access to fit-for-purpose data can directly translate into reduced costs, shorter timelines, and ultimately, better patient outcomes.

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As the demand for high-quality real-world data (RWD) accelerates across the life sciences industry, so too does the urgency to solve the persistent friction in data discovery, access, and evaluation. Fragmented data ecosystems, security concerns, and complex compliance requirements often slow the path to generating real-world evidence (RWE), delaying insights that drive innovation and impact patient outcomes.

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In the high-stakes world of life sciences, where timelines are tight and data-driven decisions shape the success of therapies, time to insight can mean the difference between momentum and missed opportunity.

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Explore the key takeaways from ISPOR 2025, including how HEOR is evolving with AI, PETs, and cloud-first data access.

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The volume of trials Datavant is tokenizing has grown 300%, reflecting an industry shift.

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OMNY Health is setting a new standard for EHR data access with a cloud-first strategy on Datavant Connect powered by AWS Clean Rooms. By making its full dataset available on AWS, OMNY enables faster, more flexible real-world data evaluation for life sciences research.

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Learn how HEOR teams can accelerate dataset assessment, streamline access, and drive meaningful insights—all while supporting privacy compliance. Discover how Verana Health, Datavant, and AWS are enabling urology research with a cloud-first approach, driving faster insights from curated EHR data without moving underlying datasets.

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The life sciences industry is at a turning point. Ninety-seven percent of data generated by the healthcare sector goes unused. Despite the billions of dollars invested annually in generating, acquiring, and analyzing data—from clinical trials and real-world evidence to patient-generated data—many organizations remain constrained by one persistent challenge: data silos.

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