5G Enabled Mobile Healthcare for Ambulances

Usman, Muhammad Arslan; Philip, Nada; Politis, Christos

doi:10.1109/gcwkshps45667.2019.9024584

Cited by 36 publications

(38 citation statements)

References 14 publications

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“…There is an increasing demand for high mobility support to prevent service disruptions or intermittent quality of service for highly mobile users, such as those in moving vehicles, trains, etc., especially during this pandemic where there might be need for remote medical services in case of emergency situations where video connections is required between the ambulance paramedics and experts in hospitals (Usman et al, 2019). However, with existing networks, these connections will be prone to frequent disruptions arising from insufficient support for high mobility broadband services.…”

Section: Service Disruptionsmentioning

confidence: 99%

“…Also, robotic equipment fitted with haptic feedback and control systems enable specialists to feel what the robot is feeling in realtime. Even in countries with advanced healthcare system, URLLC and enhanced broadband capacity will enable in-ambulance initial medical care by Emergency Medical Technicians (EMT) before arriving at a hospital (Usman et al, 2019).…”

Section: Urllcmentioning

confidence: 99%

“…Due to their communication ability, it is now possible to offload non-vital patient consultations to wearable devices and mobile applications that alert health officials when there is need for specialist intervention (Li et al, 2018;Ahad et al, 2019;Usman et al, 2019). Also, IoT devices are deployed in homes for the elderly to monitor the environment and call for help in emergencies (Pandey and Litoriya, 2020).…”

Section: Mmtcmentioning

confidence: 99%

See 2 more Smart Citations

The Role of Artificial Intelligence Driven 5G Networks in COVID-19 Outbreak: Opportunities, Challenges, and Future Outlook

et al. 2020

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Section: Service Disruptionsmentioning

confidence: 99%

Section: Urllcmentioning

confidence: 99%

Section: Mmtcmentioning

confidence: 99%

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The Role of Artificial Intelligence Driven 5G Networks in COVID-19 Outbreak: Opportunities, Challenges, and Future Outlook

et al. 2020

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“…Research in mobility data is not that new. However, in the last few years, it has gained popularity for data mining and artificial intelligence, and health engineering [ 11 – 13 ]. Substantial amounts of information are produced by GPS and telecommunication technologies advancement.…”

Section: Related Workmentioning

confidence: 99%

Future Location Prediction for Emergency Vehicles Using Big Data: A Case Study of Healthcare Engineering

Kamal

Tahir

Kamal

et al. 2020

Journal of Healthcare Engineering

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The number of devices equipped with GPS sensors has increased enormously, which generates a massive amount of data. To analyse this huge data for various applications is still challenging. One such application is to predict the future location of an ambulance in the healthcare system based on its previous locations. For example, many smart city applications rely on user movement and location prediction like SnapTrends and Geofeedia. There are many models and algorithms which help predict the future location with high probabilities. However, in terms of efficiency and accuracy, the existing algorithms are still improving. In this study, a novel algorithm, NextSTMove, is proposed according to the available dataset which results in lower latency and higher probability. Apache Spark, a big data platform, was used for reducing the processing time and efficiently managing computing resources. The algorithm achieved 75% to 85% accuracy and in some cases 100% accuracy, where the users do not change their daily routine frequently. After comparing the prediction results of our algorithm, it was experimentally found that it predicts processes up to 300% faster than traditional algorithms. NextSTMove is therefore compared with and without Apache Spark and can help in finding useful knowledge for healthcare medical information systems and other data analytics related solutions especially healthcare engineering.

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“…Several of these challenges can be alleviated using 5G technology while creating an opportunity for augmenting current medical practices with 5G connectivity and creating novel use-cases and applications, such as telesurgery [6]- [9], accessible medical imaging, service robotics for assisted living [10], [11], in-ambulance treatment by remote physician [12], remote diagnosis/teleconsultation [13], wearable devices for different target populations such as healthy individuals, people with underlying diseases, and elderly or pediatric patients [14]. For example, 5G-enabled Internet of Things (IoT) devices might help healthy individuals in everyday routine monitoring, having a healthier life style and prevention of diseases.…”

Section: Introductionmentioning

confidence: 99%

Service Level Agreements for 5G and Beyond: Overview, Challenges and Enablers of 5G-Healthcare Systems

et al. 2021

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5G and beyond networks will transform the healthcare sector by opening possibilities for novel use cases and applications. Service level agreements (SLAs) can enable 5G-enabled medical device use cases by documenting how a medical device communication requirements are met by the unique characteristics of 5G networks and the roles and responsibilities of the stakeholders involved in offering safe and effective 5G-enabled healthcare to patients. However, there are gaps in this space that should be addressed to facilitate the efficient implementation of 5G technology in healthcare. Current literature is scarce regarding SLAs for 5G and is absent regarding SLAs for 5G-enabled medical devices. This paper aims to bridge these gaps by identifying key challenges, providing insight, and describing open research questions related to SLAs in 5G and specifically 5G-healthcare systems. This is helpful to network service providers, users, and regulatory authorities in developing, managing, monitoring, and evaluating SLAs in 5G-enabled medical systems.

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5G Enabled Mobile Healthcare for Ambulances

Cited by 36 publications

References 14 publications

The Role of Artificial Intelligence Driven 5G Networks in COVID-19 Outbreak: Opportunities, Challenges, and Future Outlook

The Role of Artificial Intelligence Driven 5G Networks in COVID-19 Outbreak: Opportunities, Challenges, and Future Outlook

Future Location Prediction for Emergency Vehicles Using Big Data: A Case Study of Healthcare Engineering

Service Level Agreements for 5G and Beyond: Overview, Challenges and Enablers of 5G-Healthcare Systems

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