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<p>Telemedicine is considered to be one of the crucial healthcare solutions, surpassing geographical barriers and providing a real-time patient care environment. However, latency poses significant challenges in applications like telesurgery, remote diagnostics, and continuous monitoring, where real-time responses are needed. This paper explores the ability of synergies between 5G technology and edge computing to overcome such latency. Ultra-low latency combined with a high-speed transfer of data along with proximity-based edge computing dramatically improves telemedicine applications. The methodology in the paper covers current research methods, technological obstacles, and integration frameworks which emphasize an underlying requirement—data security and scalability for further progress in future research into Artificial intelligence (AI) enabled edge analytics protocols for the secure processing of data and further architectures for effective and efficient 5G in delivering healthcare.</p>

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Transforming Telemedicine: Reducing Latency Through Edge Computing and 5G—A Review

  • 期刊论文

  • 发表日期：

    2025年3月12日

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  • A. Vishweshwara,
  • R. Ramya

摘要

Telemedicine is considered to be one of the crucial healthcare solutions, surpassing geographical barriers and providing a real-time patient care environment. However, latency poses significant challenges in applications like telesurgery, remote diagnostics, and continuous monitoring, where real-time responses are needed. This paper explores the ability of synergies between 5G technology and edge computing to overcome such latency. Ultra-low latency combined with a high-speed transfer of data along with proximity-based edge computing dramatically improves telemedicine applications. The methodology in the paper covers current research methods, technological obstacles, and integration frameworks which emphasize an underlying requirement—data security and scalability for further progress in future research into Artificial intelligence (AI) enabled edge analytics protocols for the secure processing of data and further architectures for effective and efficient 5G in delivering healthcare.