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Capturing Data in Rare Disease Registries to Support Regulatory Decision Making: A Survey Study Among Industry and Other Stakeholders.

Carla J JonkerSieta T de VriesH Marijke van den BergPatricia McGettiganArno W HoesPeter G M Mol
Published in: Drug safety (2021)
This study showed that the opinion towards data and governance is well aligned across parties, and issues of data and governance on their own should not pose a barrier to collaboration. This finding is supportive of the European Medicines Agency's efforts to encourage stakeholders to work with existing registries when collecting data to support regulatory decision making.
Keyphrases
  • decision making
  • electronic health record
  • big data
  • transcription factor
  • machine learning
  • quality improvement