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期刊名:International nursing review

缩写:INT NURS REV

ISSN:0020-8132

e-ISSN:1466-7657

IF/分区:3.7/Q1

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共收录本刊相关文章索引1523
Clinical Trial Case Reports Meta-Analysis RCT Review Systematic Review
Classical Article Case Reports Clinical Study Clinical Trial Clinical Trial Protocol Comment Comparative Study Editorial Guideline Letter Meta-Analysis Multicenter Study Observational Study Randomized Controlled Trial Review Systematic Review
Brigitte Fong Yeong Woo,Jiyoun Song,Ed Middleton et al. Brigitte Fong Yeong Woo et al.
Aim: To examine the implications of large language models (LLMs) in clinical documentation and explore strategies to preserve critical thinking among healthcare professionals in the age of artificial intelligence (AI). ...
Sayed Ibrahim Ali,Mostafa Shaban Sayed Ibrahim Ali
Aim: This study aimed to explore the perceptions, experiences, and ethical considerations of nursing academic reviewers regarding the integration of artificial intelligence (AI) into the peer review process, with a focus ...
Maha Arafat Mahmoud,Samah Mohamed Abdelrahim,Alaa Eldin Mostafa Hamed et al. Maha Arafat Mahmoud et al.
Background: Psychological capital, occupational hardiness, and work engagement are critical factors influencing workplace resilience and motivation. This study evaluates the impact of a nursing-led psychological capital i...
Joshua Porat-Dahlerbruch,Tatyana Miller,Jocelyn Boyd et al. Joshua Porat-Dahlerbruch et al.
Aim: To develop an international taxonomy of policy interventions for integrating advanced practice nurses into health systems. Background: ...
Peishuang Wang,Rui Gao,Xinyan Zhuang et al. Peishuang Wang et al.
Aim: To systematically evaluate the available literature on the overall levels of flow at work among nurses. Background: Nurses are the...
Eileen T Lake,Adelais Markaki,Oscar Ocho et al. Eileen T Lake et al.
Aim: This initiative aimed to contribute to the Pan American Health Organization/World Health Organization's (PAHO/WHO) strategic goals for nursing and midwifery workforce development in the Caribbean by establishing a co...
Ahtisham Younas Ahtisham Younas
Background: Implementation science is concerned with identifying, applying, and evaluating the most pertinent approaches to translate evidence and innovation into practice. Innovation or evidence that needs to be translat...
Shoko Takeuchi,Kazumi Kubota,Sachiyo Nakamura Shoko Takeuchi
Aim: To explore the role of artificial intelligence (AI) in capturing tacit midwifery knowledge and its potential to enhance nursing and midwifery practices and policies, and examine how AI tools, such as machine learning...
Weidi Wang,Huan Xiao,Xueqing Liu et al. Weidi Wang et al.
Aim: This study aimed to investigate the current status and identify predictors of decision fatigue among nurses in a third-level grade A hospital in China. ...