Enabling Smart Healthcare Systems through IoT, AI, and Cloud Integration
Keywords:
Smart Healthcare Systems, Artificial Intelligence, Cloud Computing, Healthcare ServiceAbstract
This paper presents an overview of smart healthcare systems by examining the integration of key technologies such as the Internet of Things (IoT), Artificial Intelligence (AI), and Cloud Computing. It explores how these technologies collectively enhance patient monitoring, diagnostic accuracy, and healthcare service delivery, while addressing major challenges and future opportunities in the field.
References
Zhu, Z., Liu, Y., Che, X., & Chen, X. (2018). Moderating factors influencing adoption of a mobile chronic disease management system in China. Informatics for Health and Social Care, 43(1), 22–41
Xie, J., Ye, L., Huang, W., & Ye, M. (2021). Understanding FinTech platform adoption: Impacts of perceived value and perceived risk.
Journal of Theoretical and Applied Electronic Commerce Research, 16(5), 1893–1911.
Wu, W., Zhang, B., Li, S., & Liu, H. (2022). Exploring factors of the willingness to accept AI-assisted learning environments: An empirical
investigation based on the UTAUT model and perceived risk theory. Frontiers in Psychology, 13, 870777.
Li, K. F. (2013). Smart home technology for telemedicine and emergency management. Journal of Ambient Intelligence and Humanized Computing, 4(5), 535–546
Downloads
Published
Issue
Section
License
Copyright (c) 2025 by the authors and Hivereads Press.

This work is licensed under a Creative Commons Attribution 4.0 International License.