Suranaree Journal of Health Science https://he03.tci-thaijo.org/index.php/SJHSci <p>Suranaree Journal of Health Science is a journal that disseminates quality health science knowledge and is a medium for exchanging knowledge and experiences in health science. It also aims to be a quality reference for health educators, students in health science, and health personnel from various agencies both domestically and internationally. The journal is published every 6 months (2 issues a year: the first issue: January - June / the second issue: July - December).</p> en-US sjhsci@g.sut.ac.th (Assistant Professor Dr. Suparpit Maneesakorn von Bormann) sjhsci@g.sut.ac.th (Suranaree Journal of Health Science) Fri, 04 Jul 2025 15:34:30 +0700 OJS 3.3.0.8 http://blogs.law.harvard.edu/tech/rss 60 The Model of the Potential outstanding Youth Development of TO BE NUMBER ONE IDOL, Chiang Rai Province https://he03.tci-thaijo.org/index.php/SJHSci/article/view/4342 <p>This research aimed to develop a model to enhance the potential of talented and virtuous youth under the TO BE NUMBER ONE IDOL project in Chiang Rai Province. The study adopted a Research and Development (R&amp;D) approach using mixed methods and was conducted in three phases: (1) examining the current implementation of the project, (2) developing a youth potential enhancement model, and (3) assessing the outcomes related to self-esteem, self-management, and life skills. Data were collected from diverse sources, including youth aged 13-18, teachers, educational personnel, administrators, and project staff. Quantitative data were analyzed using descriptive statistics, while qualitative data were analyzed through content analysis and triangulation to ensure data validity and reliability.</p> <p>The findings showed that: (1) The Chiang Rai TO BE NUMBER ONE IDOL project exhibited strengths in structured training processes such as the “Training for Leader” and “Pre-IDOL Camp,” which effectively addressed adolescent needs. (2) The developed model, titled “The Ultimate Leader Program”, focused on holistic youth development encompassing both competence and moral character. The model included core training, “Good Child Dhamma” activities, and the “Play - Learn - Change -Become” concept, supported by surrounding systems including families, schools, communities, and mentors. (3) Most participating youth demonstrated high levels of self-esteem, moderate levels of self-management, and moderate life skills. This reflects the important role of the TO BE NUMBER ONE project in promoting the behavioral and mental potential of youth, particularly in preventing risky behaviors and drug-related issues. It aligns with the project’s core objective of building mental immunity, reducing the risk of drug involvement, and fostering long-term positive behaviors.</p> <p>Recommendations include expanding the model to other regions, supporting it with consistent policies and budgeting, and strengthening mentor networks and monitoring systems to ensure sustainable youth development under the TO BE NUMBER ONE initiative.</p> Suwaporn Jittplecheep Copyright (c) 2025 Suranaree University of Technology https://creativecommons.org/licenses/by-nc-nd/4.0 https://he03.tci-thaijo.org/index.php/SJHSci/article/view/4342 Fri, 15 Aug 2025 00:00:00 +0700 Artificial Intelligence (AI) Driven Change Management for Work-Life Balance in Nursing Profession https://he03.tci-thaijo.org/index.php/SJHSci/article/view/4352 <p>This article investigates the application of Artificial Intelligence (AI) technology in driving change management to enhance work-life balance in the nursing profession. Healthcare organizations globally confront critical challenges including nurse burnout, elevated turnover rates, and workforce shortages. Through systematic literature review and analysis of leading institutional case studies, this research examines how AI transforms nursing work environments across three key dimensions: intelligent scheduling systems that reduce overtime by 28%, automated documentation systems saving 1.8 hours per shift, and predictive analytics for burnout prevention with 83% accuracy. The article presents the AI-Driven Change Management (AIDCM) theoretical framework alongside success stories from Mayo Clinic, Singapore General Hospital, and Cleveland Clinic, demonstrating nurse turnover reduction of 18-41% and improved job satisfaction. Additionally, it addresses ethical considerations including data privacy, algorithmic bias prevention, and future directions toward personalized AI and IoT integration. The study reveals three critical success factors: visionary leadership support, participatory design methodologies, and comprehensive ethical frameworks. Case study analysis shows significant improvements in work satisfaction (45% increase), reduced unplanned overtime (34% decrease), and enhanced burnout prevention capabilities. The research also explores emerging trends including personalized AI systems that adapt to individual nurse preferences, IoT-AI convergence for smart work environments, and continuous learning systems for professional development. Findings indicate that AI-driven change management approaches create sustainable nursing work environments while maintaining high-quality patient care standards, positioning AI as an augmentative tool rather than a replacement for human expertise in healthcare delivery.</p> Phechnoy Singchungchai Copyright (c) 2025 Suranaree University of Technology https://creativecommons.org/licenses/by-nc-nd/4.0 https://he03.tci-thaijo.org/index.php/SJHSci/article/view/4352 Fri, 04 Jul 2025 00:00:00 +0700