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Using automated methods to detect safety problems with health information technology: a scoping review.

Didi SurianYing WangEnrico W CoieraFarah Magrabi
Published in: Journal of the American Medical Informatics Association : JAMIA (2022)
A wide variety of rule-based, statistical, and machine learning methods have been applied to automate the detection of safety problems with HIT. Many opportunities remain to systematically study their application and effectiveness in real-world settings.
Keyphrases
  • health information
  • machine learning
  • mental health
  • social media
  • randomized controlled trial
  • deep learning
  • systematic review
  • artificial intelligence
  • healthcare
  • high throughput
  • big data
  • single cell