Development and Validation of a Rule-Based Natural Language Processing Algorithm to Identify Falls in Inpatient Records of Older Adults: Retrospective Analysis.

Journal: JMIR aging
Published Date:

Abstract

BACKGROUND: In order to address fall underestimation by the International Classification of Diseases (ICD) in clinical settings, information from clinical notes could be incorporated via natural language processing (NLP) as a possible solution. However, its application to inpatient notes has not been fully investigated.

Authors

  • Xing Xing Qian
    School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 5/F, Academic Building, 3 Sassoon Road, Pokfulam, Hong Kong, China (Hong Kong), 852 3917 6626.
  • Pui Hing Chau
    School of Nursing, The University of Hong Kong, Pokfulam, Hong Kong SAR, China.
  • Daniel Y T Fong
    School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 5/F, Academic Building, 3 Sassoon Road, Pokfulam, Hong Kong, China (Hong Kong), 852 3917 6626.
  • Mandy Ho
    School of Nursing, Li Ka Shing Faculty of Medicine, The University of Hong Kong, 5/F, Academic Building, 3 Sassoon Road, Pokfulam, Hong Kong, China (Hong Kong), 852 3917 6626.
  • Jean Woo
    Department of Medicine and Therapeutics, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong, China (Hong Kong).