Use of artificial intelligence to identify data elements for The Japanese Orthopaedic Association National Registry from operative records.

Journal: Journal of orthopaedic science : official journal of the Japanese Orthopaedic Association
Published Date: Nov 1, 2023

Abstract

BACKGROUND: The Japanese Orthopaedic Association National Registry (JOANR) was recently launched in Japan and is expected to improve the quality of medical care. However, surgeons must register ten detailed features for total hip arthroplasty, which is labor intensive. One possible solution is to use a system that automatically extracts information about the surgeries. Although it is not easy to extract features from an operative record consisting of free-text data, natural language processing has been used to extract features from operative records. This study aimed to evaluate the best natural language processing method for building a system that automatically detects some elements in the JOANR from the operative records of total hip arthroplasty.

Authors

  • Kosuke Kita
    Department of Artificial Intelligence Diagnostic Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Keisuke Uemura
    Division of Information Science, Graduate School of Science and Technology, Nara Institute of Science and Technology, Ikoma, Nara, Japan. keisuke-uemura@is.naist.jp.
  • Masaki Takao
  • Takahito Fujimori
    Department of Orthopaedic Surgery, Graduate School of Medicine, Osaka University, Osaka, Japan.
  • Kazunori Tamura
    Department of Orthopaedic Surgery, Kyowakai Hospital, Osaka, Japan.
  • Nobuo Nakamura
    Department of Orthopaedic Surgery, Kyowakai Hospital, Osaka, Japan.
  • Gen Wakabayashi
    Department of Orthopaedic Surgery, Ikeda City Hospital, Osaka, Japan.
  • Hiroyuki Kurakami
    Department of Medical Innovation, Osaka University.
  • Yuki Suzuki
    Department of Artificial Intelligence Diagnostic Radiology, Osaka University Graduate School of Medicine, 2-2 Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Tomohiro Wataya
    Department of Diagnostic and Interventional Radiology, Osaka International Cancer Institute, 3-1-69 Otemae, Chuo-ku, Osaka, 541-8567, Japan. wataya-osk@umin.ac.jp.
  • Daiki Nishigaki
    Department of Artificial Intelligence Diagnostic Radiology, Osaka University Graduate School of Medicine, 2-2, Yamadaoka, Suita, Osaka, 565-0871, Japan.
  • Seiji Okada
    Department of Orthopaedic Surgery, Osaka University Graduate School of Medicine, Suita, Japan.
  • Noriyuki Tomiyama
    Diagnostic and Interventional Radiology, Osaka University Graduate School of Medicine, Suita, Osaka, Japan.
  • Shoji Kido
    Graduate School of Medicine, Yamaguchi University, Tokiwadai 2-16-1, Ube, Yamaguchi, 755-8611, Japan.

Keywords

External Resources

Popular Topics
Recent Journals