Development of communication support system for nursing based on natural language processing and machine learning technologies

2023 Fiscal Year Final Research Report

• Project/Area Number: 20K11093
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 58080:Gerontological nursing and community health nursing-related
• Research Institution: Kushiro National College of Technology
• Principal Investigator: Nakajima Yoko 釧路工業高等専門学校, 創造工学科, 教授 (20217730)
• Co-Investigator(Kenkyū-buntansha): 本間 宏利 釧路工業高等専門学校, 創造工学科, 教授 (80249721) ; プタシンスキ ミハウ 北見工業大学, 工学部, 准教授 (60711504) ; 桝井 文人 北見工業大学, 工学部, 教授 (80324549) ; 秋葉 友良 豊橋技術科学大学, 工学(系)研究科(研究院), 准教授 (00356346)
• Project Period (FY): 2020-04-01 – 2024-03-31
• Keywords: 介護支援システム / 自然言語処理 / 機械学習 / 介護事例データベース / 個人属性

Outline of Final Research Achievements

This study aimed to reduce the turnover rate of novice caregivers and improve the quality of care in response to the super-aging society with a declining birthrate. We constructed a care case database (DB) using care records from dementia group homes and developed a care support system applying natural language processing and machine learning technologies. In the first year, we constructed the care case DB. In the second year, we improved the accuracy of the similar text extraction model. In the third year, we developed methods for automatic extraction from meeting minutes and audio data and clustering that considers individual attributes. In the fourth year, we added refined data, provided tailored care methods based on individual attributes, and created a web application. As a result, the accuracy of the model considering individual attributes improved, and practical application in the caregiving field is expected.

Free Research Field

知能情報学

Academic Significance and Societal Importance of the Research Achievements

本研究の学術的意義は，介護施設における自然言語処理と機械学習技術の応用を通じて，介護支援方法の提示モデルを高精度に実現した点にある．特に，施設ごとの対応傾向や利用者の個人属性を考慮したクラスタリング手法の導入が，新たな知見を提供した．社会的意義としては，介護職員の離職率低減と介護の質向上に直結する点が挙げられる．個別対応が求められる認知症ケアにおいて，適切な対応方法を提示することで，介護職員の負担軽減と介護サービス受給者の生活の質向上に寄与することが期待される．