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Building and Realizing the Obstetrics and Gynecology Nursing Management Platform by Computer Information Technology under the Concept of Mindfulness Intervention
Nursing management of the gynecology department is one of the challenging issues and needed to be resolved through effective utilization of the available technology. In this paper, we are going to address this issue and try to establish an obstetrics and gynecology nursing management platform used t...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8959969/ https://www.ncbi.nlm.nih.gov/pubmed/35356622 http://dx.doi.org/10.1155/2022/6297934 |
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author | Huang, Lijuan Cui, Xianmei |
author_facet | Huang, Lijuan Cui, Xianmei |
author_sort | Huang, Lijuan |
collection | PubMed |
description | Nursing management of the gynecology department is one of the challenging issues and needed to be resolved through effective utilization of the available technology. In this paper, we are going to address this issue and try to establish an obstetrics and gynecology nursing management platform used to monitor and evaluate the mental health of pregnant women. Firstly, computer information technology is adopted, and the obstetrics and gynecology nursing management system is established. Secondly, after adopting the system to intervene in the mental state of patients with mindfulness, the system timely monitors the pregnant women's physical health indicators and mental health level data. With the help of the computer data analysis system, the obstetrics and gynecology management platform is built to carry out timely mindfulness interventions for pregnant women. The established system can reach high accuracy in identifying negative emotions of pregnant women, and the accuracy can reach 89.7%. It shows that the established system can timely and accurately intervene and regulate the pregnant woman's bad psychological state, effectively improve the pregnant woman's sleep quality during pregnancy, and enhance the pregnant woman's sleep effect. The effectiveness and feasibility of Internet mindfulness interventions for improving sleep quality during pregnancy has been confirmed. This has important practical significance for the digital and intelligent development of the medical care management platform. |
format | Online Article Text |
id | pubmed-8959969 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Hindawi |
record_format | MEDLINE/PubMed |
spelling | pubmed-89599692022-03-29 Building and Realizing the Obstetrics and Gynecology Nursing Management Platform by Computer Information Technology under the Concept of Mindfulness Intervention Huang, Lijuan Cui, Xianmei J Healthc Eng Research Article Nursing management of the gynecology department is one of the challenging issues and needed to be resolved through effective utilization of the available technology. In this paper, we are going to address this issue and try to establish an obstetrics and gynecology nursing management platform used to monitor and evaluate the mental health of pregnant women. Firstly, computer information technology is adopted, and the obstetrics and gynecology nursing management system is established. Secondly, after adopting the system to intervene in the mental state of patients with mindfulness, the system timely monitors the pregnant women's physical health indicators and mental health level data. With the help of the computer data analysis system, the obstetrics and gynecology management platform is built to carry out timely mindfulness interventions for pregnant women. The established system can reach high accuracy in identifying negative emotions of pregnant women, and the accuracy can reach 89.7%. It shows that the established system can timely and accurately intervene and regulate the pregnant woman's bad psychological state, effectively improve the pregnant woman's sleep quality during pregnancy, and enhance the pregnant woman's sleep effect. The effectiveness and feasibility of Internet mindfulness interventions for improving sleep quality during pregnancy has been confirmed. This has important practical significance for the digital and intelligent development of the medical care management platform. Hindawi 2022-03-21 /pmc/articles/PMC8959969/ /pubmed/35356622 http://dx.doi.org/10.1155/2022/6297934 Text en Copyright © 2022 Lijuan Huang and Xianmei Cui. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Huang, Lijuan Cui, Xianmei Building and Realizing the Obstetrics and Gynecology Nursing Management Platform by Computer Information Technology under the Concept of Mindfulness Intervention |
title | Building and Realizing the Obstetrics and Gynecology Nursing Management Platform by Computer Information Technology under the Concept of Mindfulness Intervention |
title_full | Building and Realizing the Obstetrics and Gynecology Nursing Management Platform by Computer Information Technology under the Concept of Mindfulness Intervention |
title_fullStr | Building and Realizing the Obstetrics and Gynecology Nursing Management Platform by Computer Information Technology under the Concept of Mindfulness Intervention |
title_full_unstemmed | Building and Realizing the Obstetrics and Gynecology Nursing Management Platform by Computer Information Technology under the Concept of Mindfulness Intervention |
title_short | Building and Realizing the Obstetrics and Gynecology Nursing Management Platform by Computer Information Technology under the Concept of Mindfulness Intervention |
title_sort | building and realizing the obstetrics and gynecology nursing management platform by computer information technology under the concept of mindfulness intervention |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8959969/ https://www.ncbi.nlm.nih.gov/pubmed/35356622 http://dx.doi.org/10.1155/2022/6297934 |
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