Development of Evaluation Index for 'Expert Knowledge' of Invisible Nursing Skills Utilizing Deep Learning

2023 Fiscal Year Final Research Report

• Project/Area Number: 19K22774
• Research Category: Grant-in-Aid for Challenging Research (Exploratory)
• Allocation Type: Multi-year Fund
• Review Section: Medium-sized Section 58:Society medicine, nursing, and related fields
• Research Institution: Osaka Metropolitan University (2022-2023); Osaka Prefecture University (2019-2021)
• Principal Investigator: Majima Yukie 大阪公立大学, 大学院情報学研究科, 教授 (70285360)
• Co-Investigator(Kenkyū-buntansha): 松田 健 阪南大学, 経営情報学部, 教授 (40591178)
• Project Period (FY): 2019-06-28 – 2024-03-31
• Keywords: 暗黙知 / 看護技術 / 熟練度 / 看護教育 / VR / 教育システム

Outline of Final Research Achievements

This study aims to develop indicators for evaluating the "tacit knowledge" of invisible nursing techniques and to create a system that can quantify these indicators into specific numerical scores. The research findings revealed that combining data on "eye gaze" and the "pressure exerted to hold a vein (tactile sensation)" during puncture can identify parts of the blood collection procedure from the data. Based on these findings, a VR application for blood collection was developed to facilitate the acquisition of "tacit knowledge" by mimicking the techniques of skilled practitioners. A validation experiment with nursing students confirmed the potential for procedural learning and suggested the application's usefulness as a nursing education tool to supplement practical training. Future challenges include designing a user interface that simplifies device operation.

Free Research Field

看護情報学

Academic Significance and Societal Importance of the Research Achievements

本研究では，インビジブルな看護技術の「熟練知」を評価する指標を開発し，看護教育システムに活用することである．これにより，熟練者と初心者の技術の差がなくなり医療事故の危険性の減少に意義がある．．
採血技術において「視線」と穿刺時の「血管を引っ張る圧力（触覚）」のデータを組み合わせることで，実施手順の一部がデータから識別できることを明らかにした．それらを踏まえて，熟練者の技術を模倣し，「暗黙知」の習得を可能にするための採血用VRアプリケーションを開発した．看護学生からは手順学習の可能性があることを確認し，その有用性を示唆した．今後の課題は，機器操作を簡単にできるようUIを工夫する予定である．