Real-world data

As we look ahead to 2025, the health data landscape is on the brink of transformative change. The increasing adoption of advanced technologies, evolving regulatory frameworks, and growing emphasis on privacy-first and limited-data-movement initiatives are driving organizations across the healthcare value chain to reimagine how they use data. 

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The Future of Health Data Summit, an annual event hosted by Datavant, brings together over 400 leaders, thinkers, researchers, and policymakers from across the public and private health sectors to discuss data challenges and opportunities in healthcare.

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Using Datavant Connect tokenization engine on Snowflake accelerates data processing while protecting patient privacy, and provides additional benefits.

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Real-world data processors are a growing and significant part of the European health data ecosystem. Learn about the fragmentation of European health data.

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Real-World Data Connect 2024 convened more than 130 RWD experts and practitioners from theLife Sciences industry to explore the value of real-world data.

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Leverage a variety of real-world data sources, including electronic health records (EHR), claims data, and mortality data, to draw comprehensive insights about healthcare practices and policies.

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Training AI models on aggregated, de-identified rare disease data, researchers can glean critical insights that manual scouring of data cannot detect.

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Genomic data results from an individual's DNA sequence, including information about identified genes, variants, and their specific locations within the genome.

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