Real-World Data: Precertification Could Aid Use For Regulatory Decisions
Voluntary precertification process could help ensure the quality and integrity of databases from which real-world evidence is derived, but the program could be a cost burden for data curators and accreditation criteria would need to be developed, experts said at a recent Duke-Margolis Center meeting.
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Collaboration Makes The (Real) World Go Round: Global Efforts Strive To Anchor RWE With Real-World Data Standards And Practices
Can the decentralized global healthcare ecosystem to turn real-world evidence from a buzzword to a useful approach to fit-for-purpose evidence generation?
In comments on FDA guidance on electronic health records and medical claims, Duke-Margolis Center suggests a certification process for validated datasets, while data companies request the agency do more to publicize the experience to date with RWE in regulatory submissions.
Agency’s approach to assessing real-world evidence for effectiveness will be guided by three key principles: fitness for use of the underlying data, adequacy of the study design, and satisfactory monitoring and data collection.