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The evolving role of data & safety monitoring boards for real-world clinical trials.

Bryan J BunningHaley HedlinJonathan H ChenJody D CiolinoJohannes Opsahl FerstadEmily FoxAriadna GarciaAlan GoRamesh JohariJustin LeeDavid M MaahsKenneth W MahaffeyKrista Opsahl-OngMarco PerezKaylin RochfordDavid ScheinkerHeidi M SprattMintu P TurakhiaManisha Desai
Published in: Journal of clinical and translational science (2023)
Clinical trials can benefit from incorporating real-world data sources, potentially increasing the generalizability of findings and overall trial scale and efficiency. The data, however, present a level of informatic complexity that relies heavily on a robust data science infrastructure. The nature of monitoring the data and safety must evolve to adapt to new trial scenarios to protect the rigor of clinical trials.
Keyphrases
  • clinical trial
  • electronic health record
  • big data
  • phase ii
  • phase iii
  • public health
  • randomized controlled trial
  • open label
  • climate change
  • machine learning
  • artificial intelligence
  • deep learning