Remote patient supervision and assistance play a vital role in modern healthcare, particularly in emergency scenarios where specialists may not be immediately available. To address this need, tele-assistance systems capable of delivering real-time medical guidance have become increasingly important, with emerging network technologies like 5G offering promising enhancements in terms of connectivity, latency, and data throughput. In this study, we deploy and evaluate a 5G-enabled tele-assistance solution designed to improve medical emergency response. The system consists of wearable helmets equipped with live-streaming capabilities, allowing on-site healthcare operators to transmit video feeds directly to remote doctors stationed at Emergency Service Operation Centers. To assess the benefits of 5G connectivity, we upgraded the existing system, previously reliant on 4G, to 5G and conducted an experimental campaign using the 5G Test Network (5GTN) at the University of Oulu. In addition, the helmet was upgraded with a Raspberry Pi 5 platform to improve the overall system performance. The experimental evaluation showed that the network and hardware upgrades increased the average throughput from 27.69 Mb/s with 4G to 129.9 Mb/s with 5G SA and reduced the round-trip time, providing a larger margin for real-time video streaming in emergency scenarios.
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Gharbaoui et al. (2026) studied this question.
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