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Translating ethical and quality principles for the effective, safe and fair development, deployment and use of artificial intelligence technologies in healthcare.

Nicoleta J Economou-ZavlanosSophia BessiasMichael P CaryArmando D BedoyaBenjamin A GoldsteinJohn Eric JelovsekCara L O'BrienNancy WaldenMatthew ElmoreAmanda B ParrishScott ElengoldKay S LytleSuresh BaluMichael E LipkinAfreen Idris ShariffMichael GaoDavid LeverenzRicardo HenaoDavid Y MingDavid M GallagherMichael J PencinaEric G Poon
Published in: Journal of the American Medical Informatics Association : JAMIA (2023)
We developed a scalable, adaptable framework for translating principles into evaluation criteria and specific requirements that support trustworthy implementation of algorithmic technologies in patient care and healthcare operations.
Keyphrases
  • healthcare
  • artificial intelligence
  • machine learning
  • big data
  • deep learning
  • quality improvement
  • primary care
  • affordable care act