Humans and machines: Moving towards a more symbiotic approach to learning clinical reasoning

Ralph Pinnock, Jenny McDonald, Darren Ritchie, Steven J. Durning

Research output: Contribution to journalComment/debate

Abstract

Artificial intelligence is a growing phenomenon that is driving major changes to how we deliver healthcare. One of its most significant and challenging contributions is likely to be in diagnosis. Artificial intelligence is challenging the physician’s exclusive role in diagnosis and in some areas, its diagnostic accuracy exceeds that of humans. We argue that we urgently need to consider how we will incorporate AI into our teaching of clinical reasoning in the undergraduate curriculum; students need to successfully navigate the benefits and potential issues of new and developing approaches to AI in clinical diagnosis. We offer a pedagogical framework for this challenging change to our curriculum.

Original languageEnglish
Pages (from-to)246-251
Number of pages6
JournalMedical Teacher
Volume42
Issue number3
DOIs
Publication statusPublished - 3 Mar 2020
Externally publishedYes

Keywords

  • Artificial intelligence
  • clinical reasoning
  • healthcare
  • diagnosis

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