Using De-Identified Linked Real-World Data To Create An External Control Arm
Using De-Identified Linked Real-World Data To Create An External Control Arm
Leveraging multi-source real-world data overcomes recruitment challenges for rare disease trials. This approach validates control arms using electronic health records, accelerating pivotal study initiation. Such methodologies are vital for open data, demonstrating how interconnected datasets enable rigorous, inclusive clinical research where traditional recruitment fails.
Source: clinicalleader.comPublished on 2023-01-03
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