원문정보
초록
영어
Integrating advanced technologies such as the Internet of Things (IoT), artificial intelligence (AI), and big data is transforming elderly care services, particularly in nursing homes. This study explores the impact of these technologies on the quality of care in nursing homes in Tongling City, China. Using a mixed-methods approach, data were collected from 298 elderly residents across 12 nursing homes through detailed surveys and interviews. The findings indicate that smart platforms and intelligent terminals significantly enhance service quality, with institutional conditions and social participation emerging as the most influential factors. Although the study’s regional focus may limit the generalizability of the findings, it introduces novel applications of AI in dietary management and IoT in personalized environmental monitoring, which contribute original insights to the broader field of smart elderly care. These results underscore the transformative potential of advanced technologies in improving elderly care and offer a model that can be adapted to similar contexts globally. Future research should focus on longitudinal studies to assess the long-term impact of these technologies and explore their applicability in diverse cultural and regional settings.
목차
1. Introduction
2. Theoretical Background
2.1 Theoretical Foundations of Smart Elderly Care
2.2 Technological Advancements in Elderly Care
2.3 Factors Influencing the Quality of Smart Elderly Care Services
2.4 Original Contributions and Research Gaps in Smart Elderly Care
3. Research Methods
3.1 Research Design
3.2 Data Collection
3.3 Data Analysis
3.4 Predictive Analysis of Long-Term Outcomes
3.5 Ethical Considerations
3.6 The Scope and Generalizability of the Study
3.7 Future Research Directions
4. Research Results and Discussion
5. Conclusion
References