Smart Nursing | Journament

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Smart Nursing

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Short Name Smart Nurs.
Abbreviated Name Smart Nurs
ISSN 3105-6822,3105-6830
Aim and Scope
Smart Nursing ISSN 3105-6822 (Print) ISSN 3105-6830 (Online) CODEN: ZHABBO (Assigned by Chemical Abstracts Service, CAS) Publication Model: Gold Open Access under the Creative Commons Attribution 4.0 International License (CC BY 4.0). All content is permanently and freely accessible. Publisher: Macau Sino-Foreign Medical Publishing Limited (MSFMP) Publication Frequency: Bimonthly Publication Language: Chinese, English Submission Language: Chinese (English title, abstract, keywords, author affiliations, and names must be provided) Distribution Support: China International Book Trading Corporation (CIBTC) Import Registration Number: G015Z134 1. Core Positioning Smart Nursing is a cutting-edge academic journal focusing on the deep integration of artificial intelligence with nursing science. The journal is dedicated to promoting the digital and intelligent transformation of nursing practice, with a key focus on exploring innovative areas such as intelligent health monitoring, clinical decision support, nursing robotics, and remote care. We particularly advocate for an interdisciplinary research paradigm that integrates information science, clinical nursing, and human factors engineering, aiming to construct a next-generation nursing service system centered on data-driven and intelligent technologies. 2. Scope of Submission The journal welcomes submissions in the following research 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 Analysis and Predictive Modeling Smart Environments and Intelligent Ward Construction Application of Virtual Reality in Nursing Education and Rehabilitation Nursing Information Systems and Interoperability Standards AI-Assisted Nursing Decision Optimization Ethics in Smart Nursing and Data Security Management 3. Aims and Vision The journal aims to become an internationally authoritative academic platform in the field of smart nursing, driving the transformation of nursing practice from traditional models to digital and intelligent paradigms. We are committed to building a deeply integrated innovation ecosystem that connects industry, academia, research, and application, providing a high-level exchange platform for nursing researchers, IT experts, and clinical practitioners to promote the innovation and application of smart nursing technologies.
URL https://zhhl.scionline2025.com
Author Instructions https://zhhl.scionline2025.com/Aboutus.asp?Aboutusorder=1
Added by Quest Press on Mar 01, 2026

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