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Integrating Advanced Technologies in Elderly Care : Lessons from Nursing Homes in Tongling City, China

첫 페이지 보기
  • 발행기관
    국제인공지능학회(구 한국인터넷방송통신학회) 바로가기
  • 간행물
    The International Journal of Advanced Smart Convergence 바로가기
  • 통권
    Volume 13 Number 3 (2024.09)바로가기
  • 페이지
    pp.89-100
  • 저자
    Guo Rui, Anura Amarasena
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A456164

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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

Abstract
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

저자

  • Guo Rui [ Associate Professor, College of Business Administration, Tongling University, Tongling City, Anhui Province, China ]
  • Anura Amarasena [ Assistant Professor of Management, International Business School, Woosong University, Daejeon, South Korea ] Corresponding Author

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    국제인공지능학회(구 한국인터넷방송통신학회) [The International Association for Artificial Intelligence]
  • 설립연도
    2000
  • 분야
    공학>전자/정보통신공학
  • 소개
    인터넷방송, 인터넷 TV , 방송 통신 네트워크 및 관련 분야에 대한 국내는 물론 국제적인 학술, 기술의 진흥발전에 공헌하고 지식 정보화 사회에 기여하고자 한다.

간행물

  • 간행물명
    The International Journal of Advanced Smart Convergence
  • 간기
    계간
  • pISSN
    2288-2847
  • eISSN
    2288-2855
  • 수록기간
    2012~2025
  • 십진분류
    KDC 326 DDC 380

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