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Systematic review and longitudinal analysis of implementing Artificial Intelligence to predict clinical deterioration in adult hospitals: what is known and what remains uncertain.

Anton H van der VegtVictoria CampbellImogen MitchellJames MalychaJoanna SimpsonTracy FlenadyArthas FlabourisPaul J LaneNaitik MehtaVikrant R KalkeJovie A DecoynaNicholas Es'haghiChun-Huei LiuIan A Scott
Published in: Journal of the American Medical Informatics Association : JAMIA (2023)
: There is evidence that real-world implementation of clinical deterioration prediction MLAs may improve clinical outcomes. Various factors identified as influencing success or failure of implementation can be mapped to different stages of implementation, thereby providing useful and practical guidance for implementers.
Keyphrases
  • artificial intelligence
  • systematic review
  • healthcare
  • quality improvement
  • primary care
  • machine learning
  • big data
  • deep learning
  • meta analyses
  • randomized controlled trial
  • cross sectional
  • childhood cancer