ID | 118720 |
Title Alternative | Relationship between nursing and technology : analysis of research trends by text mining
看護とテクノロジーに関する研究動向
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Author |
Takashima, Yoshiyuki
BAIKA Women’s University
Ito, Hirokazu
Tokushima University
Tokushima University Educator and Researcher Directory
KAKEN Search Researchers
Yasuhara, Yuko
Tokushima University
Tokushima University Educator and Researcher Directory
KAKEN Search Researchers
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Keywords | Nursing
Technology
Text-mining
Research trend
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Content Type |
Journal Article
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Description | 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.
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Journal Title |
Shikoku Acta Medica
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ISSN | 27583279
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Publisher | 徳島医学会
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Volume | 79
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Issue | 3-4
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Start Page | 193
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End Page | 198
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Sort Key | 193
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Published Date | 2023-09-27
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EDB ID | |
DOI (Published Version) | |
URL ( Publisher's Version ) | |
FullText File | |
language |
jpn
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TextVersion |
Publisher
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departments |
Medical Sciences
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