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Implementing AI in Hospitals to Achieve a Learning Health System: Systematic Review of Current Enablers and Barriers.

Amir Kamel RahimiOliver PienaarMoji GhadimiOliver J CanfellJason D PoleSally ShrapnelAnton H van der VegtClair Sullivan
Published in: Journal of medical Internet research (2024)
Significant issues exist in implementing AI in health care. Shifting from validating data sets to working with live data is challenging. This review incorporated the identified enablers and barriers into a 3-horizon framework, offering actionable recommendations for implementing AI analytics to achieve an LHS. The findings of this study can assist hospitals in steering their strategic planning toward successful adoption of AI.
Keyphrases
  • artificial intelligence
  • big data
  • healthcare
  • systematic review
  • electronic health record
  • machine learning
  • quality improvement
  • deep learning
  • meta analyses
  • clinical practice
  • health information
  • social media