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Machine learning in general practice: scoping review of administrative task support and automation.

Natasha Lee SørensenBrian BemmanMartin Bach B JensenThomas Baltzer MoeslundJanus Nikolaj Laust Thomsen
Published in: BMC primary care (2023)
The limited field of research developing in the application of machine learning to administrative tasks in general practice indicates that there is a great need and high potential for such methods. However, there is currently a lack of research likely due to the unavailability of open-source data and a prioritization of diagnostic-based tasks. Future research would benefit from open-source data, cutting-edge methods of machine learning, and clearly stated GP involvement, so that improved and replicable scientific research can be done.
Keyphrases
  • general practice
  • machine learning
  • big data
  • primary care
  • artificial intelligence
  • working memory
  • electronic health record
  • deep learning
  • risk assessment
  • climate change