In nursing practice,electronic nursing records(ENRs)are an important component of patient care documents,but they also significantly increase administrative burdens.With the development of artificial intelligence tech...In nursing practice,electronic nursing records(ENRs)are an important component of patient care documents,but they also significantly increase administrative burdens.With the development of artificial intelligence technology,it has become possible to use large text models to assist in generating nursing documents.This article explores the application of generative AI in nursing documentation.Research has shown that the application of generative AI in nursing documents demonstrates significant potential,but also faces challenges in terms of quality and implementation.In terms of efficiency,AI assisted document tools can significantly reduce the administrative burden on nurses by reallocating time to direct patient care.Studies have shown that they can reduce document time by 21-30%.However,there are variables in the quality of AI generated records,and the content is often described as'textbook style',lacking patient specific details and appropriate medical terminology.Successful implementation relies on a specialized framework that includes strong stakeholder engagement and adaptation to nursing specific workflows and regulatory standards.The conclusion points out that current AI systems are most suitable for assisting in drafting nursing documents,and clinical validation remains crucial for patient safety and document integrity.展开更多
This paper highlights the critical role of medical device design and development documents within the quality system,including their compliance with regulatory standards,their function as a traceable record,their supp...This paper highlights the critical role of medical device design and development documents within the quality system,including their compliance with regulatory standards,their function as a traceable record,their support for all stages,and their use in risk and change management.It also covers document template creation,review record association,information management,adverse event traceability,and the reconciliation of differences in international declarations.展开更多
In this paper,the research achievements and progress of Yunnan tea germplasm resource in past sixty years are systematically reviewed from the following aspects：exploration,collecting,conservation,protection,identifi...In this paper,the research achievements and progress of Yunnan tea germplasm resource in past sixty years are systematically reviewed from the following aspects：exploration,collecting,conservation,protection,identification,evaluation and shared utilization.Simultaneously,the current problems and the suggestions about subsequent development of tea germplasm resources in Yunnan were discussed,including superior and rare germplasm collection,tea genetic diversity research,biotechnology utilization in tea germplasm innovation,super gene exploration and function,the construction of utilization platform,biological base of species and population conservation.展开更多
State Administration for Market Regulation and National Standardization Administration of China have approved the following 76 national standards as guiding technical docoments.
China Improves Child Welfare,Strengthens Care for Minors China's Ministry of Civil Affairs has released two regulatory documents aimed at improving the approach to child welfare and assistance for minors,both of w...China Improves Child Welfare,Strengthens Care for Minors China's Ministry of Civil Affairs has released two regulatory documents aimed at improving the approach to child welfare and assistance for minors,both of which are set to take effect on April 1.Under the newly formulated interim measures,assistance and protection facilities for minors are established by governments.展开更多
Word cloud visualization is a compelling graphical representation that visually depicts the frequency of words within a given text or dataset[1].Research on word clouds focuses on two main aspects.The first emphasizes...Word cloud visualization is a compelling graphical representation that visually depicts the frequency of words within a given text or dataset[1].Research on word clouds focuses on two main aspects.The first emphasizes processing words,such as using the latent Dirichlet allocation(LDA)algorithm to uncover topics in the documents[2],while the second involves visual impact through striking word arrangements[3,4].In the realm of extensive biomedical data,effectiveknowledge delivery to biologists is crucial.展开更多
基金supported by the Tightly Integrated Health Consortium Research Project(Grant ynlglht202412)。
文摘In nursing practice,electronic nursing records(ENRs)are an important component of patient care documents,but they also significantly increase administrative burdens.With the development of artificial intelligence technology,it has become possible to use large text models to assist in generating nursing documents.This article explores the application of generative AI in nursing documentation.Research has shown that the application of generative AI in nursing documents demonstrates significant potential,but also faces challenges in terms of quality and implementation.In terms of efficiency,AI assisted document tools can significantly reduce the administrative burden on nurses by reallocating time to direct patient care.Studies have shown that they can reduce document time by 21-30%.However,there are variables in the quality of AI generated records,and the content is often described as'textbook style',lacking patient specific details and appropriate medical terminology.Successful implementation relies on a specialized framework that includes strong stakeholder engagement and adaptation to nursing specific workflows and regulatory standards.The conclusion points out that current AI systems are most suitable for assisting in drafting nursing documents,and clinical validation remains crucial for patient safety and document integrity.
文摘This paper highlights the critical role of medical device design and development documents within the quality system,including their compliance with regulatory standards,their function as a traceable record,their support for all stages,and their use in risk and change management.It also covers document template creation,review record association,information management,adverse event traceability,and the reconciliation of differences in international declarations.
基金Supported by Project of National Natural Science Foundation of China (31160175)Project of Tea Research Institute of Yunnan Academy of Agricultural Sciences (2009A0937)National Modern Agriculture Technology System Projects in Tea Industry (nycytx-23)~~
文摘In this paper,the research achievements and progress of Yunnan tea germplasm resource in past sixty years are systematically reviewed from the following aspects：exploration,collecting,conservation,protection,identification,evaluation and shared utilization.Simultaneously,the current problems and the suggestions about subsequent development of tea germplasm resources in Yunnan were discussed,including superior and rare germplasm collection,tea genetic diversity research,biotechnology utilization in tea germplasm innovation,super gene exploration and function,the construction of utilization platform,biological base of species and population conservation.
文摘State Administration for Market Regulation and National Standardization Administration of China have approved the following 76 national standards as guiding technical docoments.
文摘China Improves Child Welfare,Strengthens Care for Minors China's Ministry of Civil Affairs has released two regulatory documents aimed at improving the approach to child welfare and assistance for minors,both of which are set to take effect on April 1.Under the newly formulated interim measures,assistance and protection facilities for minors are established by governments.
基金supported by the National Key R&D Program of China(2022YFC2704304 and 2021YFF0702000)the National Natural Science Foundation of China(32341020 and 32341021)+1 种基金Hubei Innovation Group Project(2021CFA005)the Research Core Facilities for Life Science(HUST).
文摘Word cloud visualization is a compelling graphical representation that visually depicts the frequency of words within a given text or dataset[1].Research on word clouds focuses on two main aspects.The first emphasizes processing words,such as using the latent Dirichlet allocation(LDA)algorithm to uncover topics in the documents[2],while the second involves visual impact through striking word arrangements[3,4].In the realm of extensive biomedical data,effectiveknowledge delivery to biologists is crucial.
