文章基本信息

标题：Text Data Mining of the Nursing Care Life Log from Electronic Medical Record
本地全文：下载
作者：Muneo Kushima ; Tomoyoshi Yamazaki ; Kenji Araki 等
期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2019
卷号：2239
页码：257-261
出版社：Newswood and International Association of Engineers
摘要：In this research, we analyze nursing care records by applying an analysis tool KH Coder to nursing care life logs, in order to develop a method for visualizing and verifying nursing care actions. We use 161 nursing care life logs recorded in Long-term Care Health Facility S in M City. We identify the descriptions related to work contents of nursing care workers from the nursing care records including various intentions and contexts. The analysis results using KH Coder showed that central issues in nursing care were extracted, and the role of nursing care such as overall structure of various subjects was clarified. We found that the analysis results have potential to clarify the work content of care workers. As the nursing field requires efficiency in health care services, improvement and continuous data collection are important for the long-term building of health care services as well as large-scale data collection. In the future, we aim to develop an Electronic Medical Record that can be created semi-automatically in accordance with the level of care required.
关键词：Medical information; Electronic Medical; Record; Text data mining; Nursing care life log; KH Coder.