ArticleFrontiers in medicine2025
Integrating 6G technology in smart hospitals: challenges and opportunities for enhanced healthcare services.
Article in Frontiers in medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
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Who cites it
8 citing papers in PubMed.
- A Survey on Security Threats and Mitigation Mechanisms for Smart Hospitals in the 6G Era.Sensors (Basel, Switzerland) · 2026Review
- A MITRE D3FEND guided blockchain based cyber resilient framework for IPv6 based 6G enabled healthcare networks.Scientific reports · 2026Article
- From broad strokes to fine details: qualitative research on the challenges of smart hospitals in Iran.Journal of health, population, and nutrition · 2026Article
- Enhancing hospital workforce planning, scheduling, and performance evaluation through an AI-driven human resource management system.Scientific reports · 2026Article
- Comparing the uplink performance of 3D and 2D antenna models in THz networks in the presence of joint human and wall blockages.PloS one · 2026Article
- Telerobotic surgery: a comprehensive two-decade evolution and the integration of emerging technologies.International journal of surgery (London, England) · 2026Review
- From 5G smart hospitals to 6G-enabled learning hospitals: a governance-oriented framework for healthcare technology, policy, and responsible deployment.Frontiers in digital health · 2026Review
- AI-powered in silico twins: redefining precision medicine through simulation, personalization, and predictive healthcare.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
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.
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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.