Smart Nursing(智慧护理)

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)
Published byMacau Sino-Foreign Medical Publishing Limited (MSFMP)
Year publication2025Frequency (Publish per Year)6
ISSN (print)3105-6822ISSN (online)3105-6830
Journal disciplineMedical SciencesFull text languageChinese, English
Journal Websitehttp://zhhl.scionline2025.com
Editor in Chiefkǒng míng xuān
Abbreviated NameCODEN:ZHABBOCountryMacau
ISIScopus
Journal is indexed byDOI,Crossref,Index Copernicus.Poland,EuroPub Publishing Company.Britain,Academia.edu.America,ResearchBib.Japan,Vanderbilt University Medical Center.America,LivRe(livre.cnen.gov.br).Brazil,Research Center for Chinese Science Evaluation.RCCSE,YangtzeRiverRepos.China,Eurasian Science Journal Index(ESJI).Kazakhstan,Sci Online,Baidu Baike.China,CNKI.China,Wanfang Data.China,VIP.China,Zhongyou Reading.China,Longyuan Journals Network.China,uperStar Database.China,Macao Virtual Library.China,ASCI,GoogleScholar,Baidu Scholar.China,Open Access Library(OALib).America,Kind Congress, KindCongress
Impact FactorDate added to KC04 Jan 2026
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