A review of natural language processing in medical education

  • Michael Chary
  • , Saumil Parikh
  • , Alex F. Manini
  • , Edward W. Boyer
  • , Michael Radeos

Research output: Contribution to journalArticlepeer-review

87 Scopus citations

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.

Original languageEnglish
Pages (from-to)78-86
Number of pages9
JournalWestern Journal of Emergency Medicine
Volume20
Issue number1
DOIs
StatePublished - 2019
Externally publishedYes

Fingerprint

Dive into the research topics of 'A review of natural language processing in medical education'. Together they form a unique fingerprint.

Cite this