A Survey of Artificial-Intelligence Enabled Digital Transformation in Elderly Healthcare Field

Ching Hung Lee, Chang Wang, Fan Li, Qingqing Deng, Danni Chang

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review


With the rapid growth of the elderly population, traditional elderly healthcare services can hardly meet the dynamic and uncertain demand and higher customer expectations. With the digital transformation with digital technological enablers of the elderly-related industry rising globally, Artificial Intelligence (AI) has begun to play a disruptive and critical role in the elderly healthcare industry. But there is still a lack of a holistic review about AI-enabled digital transformation (DT) in the elderly healthcare field. Therefore, 59 works of literature published from 2000 through 2021 were extracted and analysed from Web of Science. This study focuses on the application scenarios, the AI approach used, and the benefits of AI-enabled DT. And this literature review lays the foundation for future research in the elderly healthcare field.

Original languageEnglish
Title of host publicationTransdisciplinarity and the Future of Engineering - Proceedings of the 29th International Society of Transdisciplinary Engineering (ISTE) Global Conference
EditorsBryan R. Moser, Bryan R. Moser, Pisut Koomsap, Josip Stjepandic
PublisherIOS Press BV
Number of pages10
ISBN (Electronic)9781614994398
Publication statusPublished - 31 Oct 2022

Publication series

NameAdvances in Transdisciplinary Engineering


  • Artificial Intelligence
  • digital transformation
  • elderly healthcare

ASJC Scopus subject areas

  • Computer Science Applications
  • Industrial and Manufacturing Engineering
  • Software
  • Algebra and Number Theory
  • Strategy and Management


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