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The views of health guideline developers on the use of automation in health evidence synthesis.

Anneliese ArnoJulian ElliottByron WallaceTari TurnerJames Thomas
Published in: Systematic reviews (2021)
If machine learning and other automation technologies are to be used more widely and to their full potential in systematic reviews and guideline development, it is crucial to ensure new technologies are in line with current values and practice. It will also be important to maximize the transparency of the methods of these technologies to address the concerns of guideline developers.
Keyphrases
  • healthcare
  • machine learning
  • public health
  • mental health
  • systematic review
  • health information
  • primary care
  • human health
  • health promotion
  • randomized controlled trial
  • quality improvement
  • meta analyses