A Review of Natural Language Processing in Medical Education.

Journal: The western journal of emergency medicine
Published Date: Dec 12, 2018

Abstract

Natural language processing (NLP) aims to program machines to interpret human language as humans do. It could quantify aspects of medical education that were previously amenable only to qualitative methods. The application of NLP to medical education has been accelerating over the past several years. This article has three aims. First, we introduce the reader to NLP. Second, we discuss the potential of NLP to help integrate FOAM (Free Open Access Medical Education) resources with more traditional curricular elements. Finally, we present the results of a systematic review. We identified 30 articles indexed by PubMed as relating to medical education and NLP, 14 of which were of sufficient quality to include in this review. We close by discussing potential future work using NLP to advance the field of medical education in emergency medicine.

Authors

  • Michael Chary
    New York-Presbyterian/Queens, Department of Emergency Medicine, Flushing, New York.
  • Saumil Parikh
    New York-Presbyterian/Queens, Department of Emergency Medicine, Flushing, New York.
  • Alex F Manini
    Icahn School of Medicine at Mount Sinai, Elmhurst Hospital Center, Department of Emergency Medicine, New York, New York.
  • Edward W Boyer
    Department of Emergency Medicine, Brigham and Women's Hospital, 75 Francis St, Neville 200, Boston, MA, 02125, USA.
  • Michael Radeos
    Icahn School of Medicine at Mount Sinai, Elmhurst Hospital Center, Department of Emergency Medicine, New York, New York.

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