Integrating 6G technology in smart hospitals: challenges and opportunities for enhanced healthcare services

Front Med (Lausanne). 2025 Apr 4:12:1534551. doi: 10.3389/fmed.2025.1534551. eCollection 2025.

Abstract

Introduction: The advent of sixth-generation (6G) wireless communication technology promises to transform various sectors, with healthcare-particularly smart hospitals-standing to gain significantly. This study investigates the transformative potential of 6G in healthcare by exploring its architectural foundations and enabling technologies.

Methods: A comprehensive review and analysis were conducted on current technological trends, frameworks, and integration strategies relevant to 6G-enabled healthcare systems. The proposed model integrates key technologies such as the Internet of Things (IoT), artificial intelligence (AI), blockchain, robotics, telemedicine, and advanced data analytics within the context of smart hospitals.

Results: The findings suggest that 6G's ultralow latency, massive device connectivity, and high data throughput can dramatically enhance patient care, real-time monitoring, and hospital operational efficiency. The proposed 6G-based smart hospital model fosters seamless communication between medical devices and systems, enabling intelligent decision-making and optimized resource allocation.

Discussion: Despite the promising benefits, several challenges were identified, including data privacy and security risks, system interoperability, and ethical implications. The study underscores the critical importance of robust regulatory frameworks and standardized protocols to ensure secure and ethical deployment of 6G technologies in healthcare settings.

Conclusion: By providing a forward-looking analysis of the opportunities and challenges associated with 6G-powered smart hospitals, this research offers valuable insights into the evolving landscape of digital healthcare and its potential to redefine patient care and hospital management in the near future.

Keywords: 6G; AI; IoT; advanced waveforms; big data; health care; smart hospital; telemedicine.

Grants and funding

The author(s) declare that financial support was received for the research and/or publication of this article. This research was funded by Taif University, Saudi Arabia, project number (TU-DSPP-2024-04).