Comparison of a semi-automatic annotation tool and a natural language processing application for the generation of clinical statement entries.

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Oct 20, 2014

Abstract

BACKGROUND AND OBJECTIVE: Electronic medical records with encoded entries should enhance the semantic interoperability of document exchange. However, it remains a challenge to encode the narrative concept and to transform the coded concepts into a standard entry-level document. This study aimed to use a novel approach for the generation of entry-level interoperable clinical documents.

Authors

  • Ching-Heng Lin
    Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan.
  • Nai-Yuan Wu
    Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan.
  • Wei-Shao Lai
    Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan.
  • Der-Ming Liou
    Institute of Biomedical Informatics, National Yang-Ming University, Taipei, Taiwan.

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