Construction of AI and Utilization of Extended Intelligence (EI) on Nursing Decision Support System for Home Health Care

2022 Fiscal Year Final Research Report

• Project/Area Number: 19H03965
• Research Category: Grant-in-Aid for Scientific Research (B)
• Allocation Type: Single-year Grants
• Section: 一般
• Review Section: Basic Section 58080:Gerontological nursing and community health nursing-related
• Research Institution: Iryo Sosei University (2020-2022); Tokyo University of Information Sciences (2019)
• Principal Investigator: Kasai Yoshimi 医療創生大学, 国際看護学部, 教授 (70384154)
• Co-Investigator(Kenkyū-buntansha): 川口 孝泰 医療創生大学, 国際看護学部, 教授 (40214613) ; 村上 洋一 東京情報大学, 総合情報学部, 准教授 (20548424) ; 大石 朋子 (大塚朋子) 湘南鎌倉医療大学, 看護学部, 講師 (40413257) ; 伊藤 嘉章 医療創生大学, 国際看護学部, 准教授 (60804870) ; 今井 哲郎 広島市立大学, 情報科学研究科, 講師 (10436173) ; 豊増 佳子 東京情報大学, 看護学部, 講師 (60276657)
• Project Period (FY): 2019-04-01 – 2022-03-31
• Keywords: 訪問看護 / 判断支援 / AI技術

Outline of Final Research Achievements

In order to develop a nursing decision support system in home health care based on the experimental knowledge,(1)the decision-making process of home health nurses were clarified,(2)the situation and nursing care contents related to patients and their families were extracted, and the components used in AI and the methods for nursing decision support system were examined. These results clarified the utilization of the system for integrating the results obtained by AI with the decision-making of home health nurses (extended intelligence).

Free Research Field

在宅看護、訪問看護、判断支援、末期がん、地域包括ケア

Academic Significance and Societal Importance of the Research Achievements

在宅医療が推進される中で、情報技術と訪問看護師の経験知を融合させた判断支援システムを構築することにより、訪問看護師の看護ケアの質が向上し、複雑で個別性の高い在宅療養者とその家族の課題解決やQOLの向上に寄与する。