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The untapped potential of electronic health records has long been recognized in clinical research, but extracting meaningful insights from this treasure trove of data has remained an elusive challenge—until now.

Vish Srivastava, founder of Century Health, reveals how artificial intelligence is revolutionizing real-world evidence by unlocking critical patient data trapped in EHRs. Traditional patient registries that once took a decade to amass just 1,000 patients can now be created with unprecedented efficiency through AI-powered data extraction. The breakthrough lies in advanced language models that can interpret unstructured clinical notes, transforming them into structured, analyzable data points while maintaining patient privacy.

This technological revolution has profound implications across the drug development lifecycle. In multiple sclerosis research, analyzing 10+ years of longitudinal patient data has illuminated disease progression patterns beyond relapses, informing the next generation of treatments. For approved medications like GLP-1s, real-world evidence is uncovering potential applications in conditions ranging from metabolic disorders to neurodegenerative diseases, potentially fast-tracking label expansions that would traditionally require years of additional clinical trials.

The vision is transformative: reducing the $2.6 billion, 12-year journey of drug development to a fraction of that time while ensuring treatments reach the right patients faster. While Century Health initially focuses on gastroenterology, neurology, and rheumatology in the US market, the underlying technology promises to revolutionize clinical research globally. As Vish notes, "It feels like we can create dramatically better outcomes for patients if we can just make the data that's already collected from their care accessible and actionable."

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