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From Promise to Reality: How AI Is Transforming Registries for Post-Approval Evidence Generation

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"From Promise to Reality: How AI Is Transforming Registries for Post-Approval Evidence Generation"

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Registries and other observational studies have long been seen as critical tools for generating post-approval real-world evidence—but traditional approaches have struggled to balance rigor, efficiency, and scalability. AI and automation are finally allowing registries to deliver on their long-held promise: capturing richer patient journeys, reducing burden, and enabling more flexible, future-ready research.

Join OM1’s Registry Center of Excellence, led by Dr. Richard Gliklich and Michelle Leavy, two of the foremost experts in registries and real-world evidence, for a discussion on how AI is transforming the design and execution of registries today.

Through case examples, including OM1’s work with Aspen, we’ll explore how AI-powered methods are:

  • Extracting deep clinical insights from unstructured notes and EMRs
  • Enabling more complete and nuanced patient journeys
  • Reducing burden while preserving rigor and regulatory acceptance
  • Unlocking new opportunities for long-term, prospective, and large-scale studies


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