中文刊名：《智慧护理》

英文刊名：Smart Nursing

国际刊号：ISSN 3105-6822（印刷版）/ ISSN 3105-6830（网络版）

出版模式：金色开放获取（Gold OA），适用CC BY 4.0协议（全文永久免费）

出版机构：Macau Sino-Foreign Medical Publishing Limited

出版频率：双月刊

投稿语言：中文（需附英文标题、摘要、关键词、作者单位及姓名）

核心定位
《智慧护理》是一本聚焦人工智能与护理科学深度融合的前沿学术期刊。本刊致力于推动护理实践的数字化与智能化转型，重点探索智能健康监测、临床决策支持、护理机器人与远程护理等创新领域。我们特别倡导融合信息科学、临床护理与人类工效学的跨学科研究范式，构建以数据驱动和智能技术为核心的下一代护理服务体系。

约稿范围
本刊欢迎以下研究方向的投稿：

智能健康监测与可穿戴护理设备

护理机器人与自动化照护系统

临床决策支持与智能风险评估

远程护理与数字健康平台

护理大数据分析与预测模型

智能环境与智慧病房建设

虚拟现实在护理教育与康复中的应用

护理信息系统与互操作性标准

人工智能辅助的护理决策优化

智慧护理伦理与数据安全管理

全球诚邀编委/副主编/同行评议专家/主编
我们诚邀全球智慧护理、护理信息学及相关领域的专家学者加入学术团队，共同引领护理智能化发展。在线申请请访问：
http://tg.scionline2025.com/01/bw.asp

在线投稿
欢迎通过以下链接提交稿件：
http://tg.scionline2025.com/01/

目标与愿景
本刊旨在成为智慧护理领域的国际权威学术平台，推动护理实践从传统模式向数字化、智能化范式转型。我们致力于构建产学研用深度融合的创新生态，为护理研究者、信息技术专家和临床工作者提供高水平的交流平台，促进智慧护理技术的创新与应用。

全球数据索引计划
本刊为所有发表论文注册专属DOI标识，并正在申请纳入以下重要学术数据库：

Science Citation Index Expanded (SCIE)

MEDLINE/PubMed

Scopus

CINAHL

IEEE Xplore

DOAJ (Directory of Open Access Journals)

Google Scholar

百度学术

万方数据

维普资讯

澳门虚拟图书馆

龙源期刊网

超星学术平台

长江文库

新华网学术中国

CNKI 中国知网

 

 

Smart Nursing Call for Papers

Journal Information

Journal Title (English): Smart Nursing

Journal Title (Chinese): 《智慧护理》

ISSN: 3105-6822 (print) / 3105-6830 (online)

Publishing Model: Gold Open Access (under CC BY 4.0 license)

Publisher: Macau Sino-Foreign Medical Publishing Limited

Publication Frequency: Bimonthly

Language of Submission: Chinese (must include English title, abstract, keywords, and author affiliations/names)

Core Focus
Smart Nursing is a pioneering academic journal focusing on the deep integration of artificial intelligence and nursing science. The journal is committed to advancing the digital and intelligent transformation of nursing practice, with particular emphasis on innovative fields including intelligent health monitoring, clinical decision support, nursing robotics, and remote nursing. We strongly advocate interdisciplinary research paradigms integrating information science, clinical nursing, and human factors engineering to build the next-generation nursing service system centered on data-driven approaches and intelligent technologies.

Scope
We welcome submissions in the following areas:

Intelligent Health Monitoring and Wearable Nursing Devices

Nursing Robotics and Automated Care Systems

Clinical Decision Support and Intelligent Risk Assessment

Remote Nursing and Digital Health Platforms

Nursing Big Data Analytics and Predictive Modeling

Smart Environments and Intelligent Ward Construction

Virtual Reality Applications in Nursing Education and Rehabilitation

Nursing Information Systems and Interoperability Standards

AI-Assisted Nursing Decision Optimization

Smart Nursing Ethics and Data Security Management

Global Call for Editorial Board Members/Associate Editors/Peer Reviewers/Editor-in-Chief
We cordially invite experts and scholars in smart nursing, nursing informatics, and related fields worldwide to join our academic team and collectively lead the development of nursing intelligence. Apply online at:
http://tg.scionline2025.com/01/bw.asp

Online Submission
Please submit your manuscripts via:
http://tg.scionline2025.com/01/

Aims and Vision
Our goal is to establish Smart Nursing as an internationally authoritative academic platform in the field, promoting the transformation of nursing practice from traditional models to digital and intelligent paradigms. We are committed to building a deeply integrated innovation ecosystem connecting industry, academia, research, and practice, providing nursing researchers, information technology experts, and clinical practitioners with a high-level exchange platform, and facilitating the innovation and application of smart nursing technologies.

Global Indexing Plan
The journal registers unique DOI identifiers for all published articles and is pursuing inclusion in the following major academic databases:

Science Citation Index Expanded (SCIE)

MEDLINE/PubMed

Scopus

CINAHL

IEEE Xplore Digital Library

DOAJ (Directory of Open Access Journals)

Google Scholar

Baidu Scholar

Wanfang Data

VIP Information

Macau Virtual Library

Longyuan Journal Network

Chaoxing Academic Platform

Yangtze River Database

Xinhuanet Academic China

CNKI (China National Knowledge Infrastructure)