Distributed IoT Devices and Sensors in Telehealth Applications

Dear Colleagues,

The advancement in modern healthcare technology enabled an expansion of the existing infrastructure to distribute smart IoT devices that can provide end users with a wide variety of advanced health services and applications from any location.

At the same time, the complex nature of the healthcare system enforces stringent compliance regulations and urges service providers to invest in the most advanced innovations to overcome the challenges that face them to ensure the healthcare perimeter is secure, reliable and meets all quality standards.

Cloud technology, generative AI, blockchain, 5G telecommunications, post-quantum encryption, physically unclonable functions (PUFs) and security protocols like advanced zero trust and context-aware systems are some of the hot topics related to telehealth.

Telehealth is the use of telecommunications technologies to provide healthcare services remotely. This can include video conferencing, remote monitoring and other forms of electronic communication. Telehealth has been shown to be effective in improving access to care, especially for rural and underserved populations. It can also be used to provide preventive care, chronic disease management and other services that are not always available in traditional healthcare settings.

IoT devices can be used to collect and monitor data in real-time, which can be used to improve patient care and outcomes. For example, wearable devices can be used to track heart rate, blood pressure, glucose levels and other vital signs. This data can be shared with healthcare providers, who can use it to make informed decisions about patient care. IoT devices can also be used to monitor patients who are at home or in long-term care facilities. This can help to ensure that patients are receiving the care they need, even when they are not in a traditional hospital setting.

This Special Issue welcomes the publication of different enabling technologies; suggestions for topics include, but are not limited to:

(a) AI for authentication, diagnosis, prognosis and report generation.
(b) Embedded IoT PUFs for authentication and secure key exchange.
(c) Using security protocols to provide zero trust context-aware adaptive authentication and access control management.
(d) Blockchain technology for secure healthcare data encryption.
(e) Using cloud technology for medical data analysis, distributed storage and processing. This may include studies about the cloud infrastructure design of telehealth applications and quality analysis compared to the old systems.
(f) Studies on advanced post-quantum encryption are welcome.

Prof. Dr. Fayez Gebali
Guest Editor

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