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Assessing Visitor Expectations of AI Nursing Robots in Hospital Settings: Cross-Sectional Study Using the Kano Model.评估医院环境中访客对 AI 护理机器人的期望:使用 Kano 模型的横断面研究。
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2024年护理信息学研究综述之年。

2024: A Year of Nursing Informatics Research in Review.

作者信息

Borycki Elizabeth

机构信息

School of Health Information Science, University of Victoria, P.O. Box 1700 STN CSC, Victoria, BC, V8W 2Y2, Canada, 1 250-721-8575, 1 250-472-4751.

出版信息

JMIR Nurs. 2025 May 7;8:e74345. doi: 10.2196/74345.

DOI:10.2196/74345
PMID:40334285
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12077850/
Abstract

Each year, nursing informatics researchers contribute to nursing and health informatics knowledge. The year 2024 emerged as yet another year of significant advances. In this editorial, I describe and highlight some of the key trends in nursing informatics research as published in JMIR Nursing in 2024. Artificial intelligence (AI), data science, mobile health (mHealth), and the integration of technology into nursing education and practice remain key research themes in the literature. Nursing informatics publications continue to grow in number. A greater number of AI and data science articles are being published, while at the same time, mHealth and technology research continues to be conducted in nursing education and practice contexts.

摘要

每年,护理信息学研究人员都为护理和健康信息学知识做出贡献。2024年又是取得重大进展的一年。在这篇社论中,我描述并强调了2024年发表在《JMIR护理》上的护理信息学研究的一些关键趋势。人工智能(AI)、数据科学、移动健康(mHealth)以及技术在护理教育和实践中的整合仍然是文献中的关键研究主题。护理信息学出版物的数量持续增长。越来越多关于人工智能和数据科学的文章被发表,与此同时,移动健康和技术研究也在护理教育和实践背景下持续开展。