A Review of Natural Language Processing in Medical Education.

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...

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Bibliographic Details
Published in:	Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health Vol. 20; no. 1; pp. 78 - 87
Main Authors:	Chary, Michael, Parikh, Saumil, Manini, Alex F., Boyer, Edward W., Radeos, Michael
Format:	research systematic review tables/charts Journal Article
Published:	Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health Jan2019
Online Access:	View this record in EBSCOhost

Description
Summary:	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.