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识别护理信息学的知识结构和趋势:文本网络分析。

Identifying the Knowledge Structure and Trends of Nursing Informatics: A Text Network Analysis.

机构信息

Author Affiliations: Asan Medical Center (Jinah Park), Seoul; and College of Nursing, Chonnam National University (Jinkyung Park), Gwangju, South Korea.

出版信息

Comput Inform Nurs. 2023 Jan 1;41(1):8-17. doi: 10.1097/CIN.0000000000000919.

DOI:10.1097/CIN.0000000000000919
PMID:35703232
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9835675/
Abstract

With the advent of the information age and technological development, the importance of digital health technologies has increased. Subsequently, nursing informatics has been developed to enhance the effectiveness of healthcare information management and communication. This study aimed to identify the nursing informatics knowledge structure and research trends through quantitative analysis using text network analysis. Here, we analyzed 14 225 studies published by 2020. The knowledge structure of nursing informatics and changes therein were clarified by identifying and analyzing the core keywords, topics, and changes in the topics of related studies over time. We identified "patient," "health," "system," and "information" as core keywords connecting other keywords. Over time, the networks between "information," "communication," and "technology" strengthened, and "patient safety" and "quality" have recently emerged as research keywords. This change indicates an increase in the importance of nursing education on technology. Similar changes appeared in the topic analysis, showing an increased proportion of research related to system and technology and nursing education. These results can broaden a systematic understanding of nursing informatics research. Furthermore, given these findings, the importance of nursing informatics on patient safety and nursing education-based on the development of systems and technology-can be expected to continue growing.

摘要

随着信息时代和技术发展的到来,数字健康技术的重要性日益增加。随后,护理信息学得以发展,以提高医疗保健信息管理和交流的效率。本研究旨在通过使用文本网络分析进行定量分析,确定护理信息学的知识结构和研究趋势。在这里,我们分析了 2020 年发表的 14225 项研究。通过识别和分析核心关键词、主题以及相关研究主题随时间的变化,阐明了护理信息学的知识结构及其变化。我们确定了“患者”、“健康”、“系统”和“信息”作为连接其他关键词的核心关键词。随着时间的推移,“信息”、“通信”和“技术”之间的网络关系加强,“患者安全”和“质量”最近成为研究关键词。这种变化表明,护理教育对技术的重视程度有所提高。主题分析也出现了类似的变化,表明与系统和技术以及护理教育相关的研究比例增加。这些结果可以拓宽对护理信息学研究的系统理解。此外,鉴于这些发现,可以预期基于系统和技术发展的患者安全和护理教育为基础的护理信息学的重要性将继续增长。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9507/9835675/5e8fef0f8ed8/cin-41-8-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9507/9835675/05604f8ab522/cin-41-8-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9507/9835675/b5a4621af464/cin-41-8-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9507/9835675/42c2cf67e898/cin-41-8-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9507/9835675/5e8fef0f8ed8/cin-41-8-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9507/9835675/05604f8ab522/cin-41-8-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9507/9835675/b5a4621af464/cin-41-8-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9507/9835675/42c2cf67e898/cin-41-8-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9507/9835675/5e8fef0f8ed8/cin-41-8-g004.jpg

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