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

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 th...

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Detalles Bibliográficos
Autores principales: Park, Jinah, Park, Jinkyung
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835675/
https://www.ncbi.nlm.nih.gov/pubmed/35703232
http://dx.doi.org/10.1097/CIN.0000000000000919
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author Park, Jinah
Park, Jinkyung
author_facet Park, Jinah
Park, Jinkyung
author_sort Park, Jinah
collection PubMed
description 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.
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spelling pubmed-98356752023-01-19 Identifying the Knowledge Structure and Trends of Nursing Informatics: A Text Network Analysis Park, Jinah Park, Jinkyung Comput Inform Nurs Features 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. Lippincott Williams & Wilkins 2022-11-28 /pmc/articles/PMC9835675/ /pubmed/35703232 http://dx.doi.org/10.1097/CIN.0000000000000919 Text en Copyright © 2022 The Authors. Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in anyway or used commercially without permission from the journal.
spellingShingle Features
Park, Jinah
Park, Jinkyung
Identifying the Knowledge Structure and Trends of Nursing Informatics: A Text Network Analysis
title Identifying the Knowledge Structure and Trends of Nursing Informatics: A Text Network Analysis
title_full Identifying the Knowledge Structure and Trends of Nursing Informatics: A Text Network Analysis
title_fullStr Identifying the Knowledge Structure and Trends of Nursing Informatics: A Text Network Analysis
title_full_unstemmed Identifying the Knowledge Structure and Trends of Nursing Informatics: A Text Network Analysis
title_short Identifying the Knowledge Structure and Trends of Nursing Informatics: A Text Network Analysis
title_sort identifying the knowledge structure and trends of nursing informatics: a text network analysis
topic Features
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9835675/
https://www.ncbi.nlm.nih.gov/pubmed/35703232
http://dx.doi.org/10.1097/CIN.0000000000000919
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