5G-backed resilience and quality enhancement in internet of medical things infrastructure for resilient infrastructure

The internet of medical things (loMT) has transformed the healthcare sector by facilitating real-time monitoring, remote patient care, and tailored healthcare solutions. However, the challenge of upholding a high standard quality of service (QoS) in loMT implementations remains a pressing issue. Thi...

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Bibliographic Details
Published in:Telkomnika 2024-04, Vol.22 (2), p.372-379
Main Authors: Ali, Noora Jamal, Hamzah, Noor Amer, Radhi, Ahmed Dheyaa, Niu, Yitong, JosephNg, Poh Soon, Tawfeq, Jamal Fadhil
Format: Article
Language:English
Subjects:
5G mobile communication
Accuracy
Business metrics
Data transmission
Efficiency
Health care
Health care delivery
Health care industry
Health services
Infrastructure
Internet
Internet of medical things
Machine learning
Methods
Network latency
Optimization
Patient satisfaction
Performance evaluation
Predictive analytics
Quality of service
Quality of service architectures
Remote monitoring
Resilience
Resource allocation
Telemedicine
Transmission efficiency
Wireless networks
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Summary:The internet of medical things (loMT) has transformed the healthcare sector by facilitating real-time monitoring, remote patient care, and tailored healthcare solutions. However, the challenge of upholding a high standard quality of service (QoS) in loMT implementations remains a pressing issue. This article delves into the possibilities of utilizing 5G networks and smart techniques to optimize QoS within IoMT systems. By capitalizing on the capabilities of 5G networks, including substantial bandwidth, minimal latency, and extensive connectivity, in conjunction with intelligent methods such as machine learning and predictive analytics, this paper introduces novel strategies to enhance QoS in IoMT environments. The summary underscores the advantages of these methods in elevating network dependability, diminishing latency, enhancing data transmission efficiency, and enabling resource allocation efficiency in IoMT deployments. Additionally, it explores the potential ramifications of these developments on healthcare outcomes, patient contentment, and the overall effectiveness of the healthcare system. The conclusions propose that by maximizing QoS through 5G networks and intelligent techniques, IoMT holds the potential to significantly enhance the delivery of healthcare services, fostering a more interconnected and efficient healthcare ecosystem in the process innovation.
ISSN:1693-6930
2302-9293
DOI:10.12928/telkomnika.v22i2.24863