A survey of automated methods for biomedical text simplification.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Oct 7, 2022

Abstract

OBJECTIVE: Plain language in medicine has long been advocated as a way to improve patient understanding and engagement. As the field of Natural Language Processing has progressed, increasingly sophisticated methods have been explored for the automatic simplification of existing biomedical text for consumers. We survey the literature in this area with the goals of characterizing approaches and applications, summarizing existing resources, and identifying remaining challenges.

Authors

  • Brian Ondov
    Computational Health Research Branch, National Library of Medicine, Bethesda, Maryland, USA.
  • Kush Attal
    Computational Health Research Branch, National Library of Medicine, Bethesda, Maryland, USA.
  • Dina Demner-Fushman
    Lister Hill National Center for Biomedical Communications, National Library of Medicine, Bethesda, MD.

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