ArticleDigital health
Digital health transformation: An empirical analysis of sustainable healthcare through the various applications of artificial intelligence internet of things technology.
Article in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
3 citing papers in PubMed.
- The Design-Driven Innovation Path of Human-Centered Artificial Intelligence in the Field of Healthcare: Theory, Practice, and Future Prospects.Healthcare (Basel, Switzerland) · 2026Review
- The effect of online hygiene information expression on customers' institutional and cognitive trust in tourist accommodation.Frontiers in public health · 2026Article
- Article
Corrections and comments
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The integration of artificial intelligence and Internet of Things (AIoT) technologies is transforming healthcare delivery systems globally. However, comprehensive evaluation frameworks are needed to assess AIoT technological impact on sustainable healthcare development across economic, organizational, and social dimensions. Objectives: This research investigates how AIoT technology affects sustainable healthcare development by examining the interconnections between individual economic viability, organizational responsibility, and social equity within the framework of Sustainable Development Goals (SDGs). Methods: A dual-methodology approach was employed combining factor analysis for quantitative assessment and triple-dimensionality method for qualitative evaluation. The study examined six inter-influence correlations across three dimensions using Social Learning Theory's triadic reciprocal determinism framework. Data analysis focused on healthcare professionals' AIoT applications, institutional governance, and social equity outcomes. Results: Healthcare professionals driving socially beneficial AIoT applications achieved the highest comprehensive weight (0.0927), indicating strong correlation between individual economic advantages and social equity outcomes. Medical healthcare professionals' AIoT skills scored 0.0914, while responsible AIoT governance (healthcare professionals to gain the AIoT skills) achieved 0.0926. These findings validate bidirectional economic-organizational dynamics and demonstrate significant organizational-social equity integration with measurable reciprocal stimulation effects. Conclusions: 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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.