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The ethics of machine learning-based clinical decision support: an analysis through the lens of professionalisation theory.

Nils B HeyenSabine Salloch
Published in: BMC medical ethics (2021)
Using ML_CDSS in medical practice requires the physician to pay special attention to those facts of the individual case that cannot be comprehensively considered by ML_CDSS, for example, the patient's personality, life situation or cultural background. Moreover, the more routinized the use of ML_CDSS becomes in clinical practice, the more that physicians need to focus on the patient's concern and strengthen patient autonomy, for instance, by adequately integrating digital decision support in shared decision-making.
Keyphrases
  • primary care
  • case report
  • clinical decision support
  • machine learning
  • healthcare
  • clinical practice
  • public health
  • big data
  • working memory
  • artificial intelligence