Relationship between nursing and technology: analysis of research trends by text mining

DOI
  • Takashima Yoshiyuki
    Department of Nursing, BAIKA Women’s University, Osaka Japan
  • Hisaka Yukari
    Department of Adult Nursing, Gifu University Graduate School of Medicine, Gifu, Japan
  • Ito Hirokazu
    Institute of Biomedical Sciences, Tokushima University, Tokushima, Japan
  • Yasuhara Yuko
    Institute of Biomedical Sciences, Tokushima University, Tokushima, Japan
  • Tanioka Tetsuya
    Institute of Biomedical Sciences, Tokushima University, Tokushima, Japan

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Other Title
  • テキストマイニングによる看護とテクノロジーに関する研究動向

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Description

<p>　This study aims to identify research trends relationship between nursing and technology.　Original papers titles were searched on the bibliographic database “Igaku Chuo Zasshi （ICHUSHI）” using search keywords “nursing” and “technology” for the past five years.　All analyzes were conducted using the text-mining analysis software KH Coder version 3.　The four top high frequency words were nursing （259）, education （83）, video （66）, and effect （54）.　The overall co-occurrence network showed, technology was associated with simulation education in nursing, online training, audiovisual materials, and robot-assisted communication for older adults with dementia.　In the co-occurrence network with patients, technology was associated with medical safety, transferring bedridden patients, teaching postoperative patients, improving care, risk assessment, and rehabilitation.　In the co-occurrence network with care, technology was associated with the use of equipment in critical care, procedures using audiovisual aids, nursing skills, change in patient perception, training for new employed nurses, and communication with older patients.　These results suggest that in Japan, research is currently being conducted in relation to nursing and technology in nursing education, support for learning nursing skills, medical safety, and nursing aids using robots, etc., to provide high quality care to patients.</p>

Journal

  • SHIKOKU ACTA MEDICA

    SHIKOKU ACTA MEDICA 79 (3.4), 193-198, 2023

    Tokushima Medical Association

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