Use of Artificial Intelligence, Internet of Things, and Edge Intelligence in Long-Term Care for Older People: Comprehensive Analysis Through Bibliometric, Google Trends, and Content Analysis.

Journal: Journal of medical Internet research
PMID: 40053718

Abstract

BACKGROUND: The global aging population poses critical challenges for long-term care (LTC), including workforce shortages, escalating health care costs, and increasing demand for high-quality care. Integrating artificial intelligence (AI), the Internet of Things (IoT), and edge intelligence (EI) offers transformative potential to enhance care quality, improve safety, and streamline operations. However, existing research lacks a comprehensive analysis that synthesizes academic trends, public interest, and deeper insights regarding these technologies.

Authors

  • Shuo-Chen Chien
    Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan.
  • Chia-Ming Yen
    National Center for Geriatrics and Welfare Research, National Health Research Institutes, Yunlin County, Taiwan.
  • Yu-Hung Chang
    Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan.
  • Ying-Erh Chen
    Department of Risk Management and Insurance, Tamkang University, New Taipei City, Taiwan.
  • Chia-Chun Liu
    Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan.
  • Yu-Ping Hsiao
    Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan.
  • Ping-Yen Yang
    Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan.
  • Hong-Ming Lin
    Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan.
  • Tsung-En Yang
    Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan.
  • Xing-Hua Lu
    Institute of Population Health Sciences, National Health Research Institutes, Miaoli County, Taiwan.
  • I-Chien Wu
    Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan.
  • Chih-Cheng Hsu
    Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan.
  • Hung-Yi Chiou
    School of Public Health, Taipei Medical University, Taipei, Taiwan.
  • Ren-Hua Chung
    Division of Biostatistics and Bioinformatics, Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Taiwan.

Keywords

External Resources

Popular Topics
Recent Journals