| Issue |
EPJ Web Conf.
Volume 341, 2025
2nd International Conference on Advent Trends in Computational Intelligence and Communication Technologies (ICATCICT 2025)
|
|
|---|---|---|
| Article Number | 01012 | |
| Number of page(s) | 15 | |
| DOI | https://doi.org/10.1051/epjconf/202534101012 | |
| Published online | 20 November 2025 | |
https://doi.org/10.1051/epjconf/202534101012
AI-Driven IoT Integration in Smart Healthcare Systems: A Comprehensive Framework for Enhanced Patient Care and Clinical Decision Support
Cisco Systems Inc, Atlanta, Georgia, USA
Published online: 20 November 2025
The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) is catalyzing a paradigm shift in the healthcare industry, paving the way for more personalized, predictive, and participatory models of care. This paper presents a comprehensive framework for the integration of AI-driven IoT in smart healthcare systems. We explore the synergistic potential of these technologies to enhance patient monitoring, streamline clinical workflows, and empower data-driven decision-making. The proposed framework addresses key architectural components, from wearable sensors and data acquisition to cloud-based analytics and intelligent alerting systems. Furthermore, we delve into the critical challenges of data interoperability, security, and privacy, offering potential solutions and best practices. Through a detailed analysis of recent advancements and case studies, this paper illustrates the transformative impact of AI-IoT integration on chronic disease management, remote patient care, and preventive medicine. We conclude by discussing future research directions and the policy implications of widespread adoption, highlighting the need for a multi-stakeholder approach to unlock the full potential of smart healthcare.
© The Authors, published by EDP Sciences, 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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