Can Unified Medical Language System-based semantic representation improve automated identification of patient safety incident reports by type and severity?

Journal: Journal of the American Medical Informatics Association : JAMIA
Published Date: Oct 1, 2020

Abstract

OBJECTIVE: The study sought to evaluate the feasibility of using Unified Medical Language System (UMLS) semantic features for automated identification of reports about patient safety incidents by type and severity.

Authors

  • Ying Wang
    Key Laboratory of Macromolecular Science of Shaanxi Province, School of Chemistry & Chemical Engineering, Shaanxi Normal University, Xi'an, Shaanxi 710062, China.
  • Enrico Coiera
    1Australian Institute of Health Innovation, Macquarie University, Level 6 75 Talavera Rd, Sydney, NSW 2109 Australia.
  • Farah Magrabi
    Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Australia.

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