Digital health transformation: An empirical analysis of sustainable healthcare through the various applications of artificial intelligence internet of things technology
AIoT technology represents a paradigmatic shift toward sustainable healthcare systems, creating self-reinforcing ecosystems where improvements in any dimension enhance outcomes across all areas. The study provides empirical validation that AIoT serves as a comprehensive catalyst for achieving "Good Health and Well-being" SDG targets while establishing economically viable and organizationally sustainable healthcare delivery systems.
Authors
- Wei‐Chin Chang (ORCID: https://orcid.org/0000-0002-1005-7815)
- Ming-Hang Hsieh
- Yung‐Kuan Chan (ORCID: https://orcid.org/0000-0002-1556-0567)
- M. S. Chang
- Min-Hua Chang (ORCID: https://orcid.org/0000-0003-2009-6057)
Institutions
- Tri-Service General Hospital (TW)
- National Sun Yat-sen University (TW)
- Kaohsiung Medical University (TW)
- National Chung Hsing University (TW)
- National Taichung University of Education (TW)
- Kaohsiung Armed Forces General Hospital (TW)
- National Taiwan University Hospital (TW)
- National Cheng Kung University Hospital (TW)
- National Taipei University (TW)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251396987
- Citations
- 2
- Primary Topic
- Internet of Things and AI
- Type
- article
- Field-Weighted Citation Impact
- 6.49