Mathematical Modeling on Nursing Skill Tacit Knowledge Based on Text Mining and Algebraic Statistics

2016 Fiscal Year Final Research Report

• Project/Area Number: 15K15818
• Research Category: Grant-in-Aid for Challenging Exploratory Research
• Allocation Type: Multi-year Fund
• Research Field: Fundamental nursing
• Research Institution: University of Nagasaki (2016); Shizuoka Institute of Science and Technology (2015)
• Principal Investigator: Matsuda Takeshi 長崎県立大学, 情報システム学部, 准教授 (40591178)
• Research Collaborator: Ootani Kousuke 合同会社binary lab, 代表社員
• Project Period (FY): 2015-04-01 – 2017-03-31
• Keywords: 暗黙知 / 注射技術 / 手指運動 / 数理モデル / 可視化 / 非定常 / 正確検定

Outline of Final Research Achievements

This study had analyzed the tacit knowledge of nursing skill by collecting three dimension coordinate data of hand motion at an injection technique. We had used magnetometric sensor to gather hand motion data, and compared the data with experts and beginners. Since the acquired data changes depending on the state of the procedure, it was difficult to find a specific pattern from the data. However, since the procedures of injection technique are defined, the feature of experts could be found by dividing the data into each section accordingly. Furthermore, we confirmed that we can clearly distinguish between data of experts and beginners by proposing a method of visualizing data.

Free Research Field

数理情報学