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Transforming Real-World Patient Data into Breakthroughs

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Manage episode 517975521 series 60790
Content provided by RARECast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by RARECast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

A recent report from the health research network and real-world data platform TriNetX argues that by aggregating electronic health records, billing claims, and registry data across hundreds of healthcare sites makes it possible to study rare diseases more efficiently. Doing so could enable access to enough patient data to conduct meaningful research, which is often impossible through traditional clinical trials. We spoke to Jeff Brown, chief scientific officer of TriNetX, about how real-world data can address common challenges in rare disease research, the hurdles that need to be addressed, and how advances in AI could revolutionize rare disease research by using this data to identify patients and unlock insights.

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568 episodes

Artwork
iconShare
 
Manage episode 517975521 series 60790
Content provided by RARECast. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by RARECast or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

A recent report from the health research network and real-world data platform TriNetX argues that by aggregating electronic health records, billing claims, and registry data across hundreds of healthcare sites makes it possible to study rare diseases more efficiently. Doing so could enable access to enough patient data to conduct meaningful research, which is often impossible through traditional clinical trials. We spoke to Jeff Brown, chief scientific officer of TriNetX, about how real-world data can address common challenges in rare disease research, the hurdles that need to be addressed, and how advances in AI could revolutionize rare disease research by using this data to identify patients and unlock insights.

  continue reading

568 episodes

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