Internet of Medical Things

Dear Colleagues,

The healthcare landscape is rapidly evolving, and Internet of Things (IoT) technology is at the forefront of this change. This exciting field is revolutionising how we care for patients by offering new ways to monitor health, manage treatments, and deliver care. The Internet of Medical Things (IoMT) refers to the interconnected network of medical devices and applications that collect, transmit, and analyse healthcare data to improve patient outcomes and streamline healthcare delivery. IoMT devices typically include wearable sensors, medical monitors, implantable devices, mobile apps, and other connected healthcare technologies.

There is a wide array of various IoMT applications in healthcare, including remote patient monitoring, wearable health devices, smart healthcare facilities, telemedicine, medication management, data security, and predictive analytics. Emphasis will be placed on elucidating the impact of IoMT solutions on improving patient outcomes, enhancing operational efficiency, and driving personalised, proactive healthcare delivery.

The aim of this Special Issue is to provide a comprehensive overview of the current state-of-the-art, identify emerging trends, and foster interdisciplinary discussions among researchers, practitioners, and policymakers. Ultimately, the goal is to advance our understanding of IoMT-enabled healthcare innovation and pave the way for future advancements in this critical domain.

The topics of this Special Issue include, but are not limited to (taken from the example), the following:

• State-of-the-art IoMT health monitoring and sensing paradigms.
• Emerging IoMT research trends.
• Data collection, integration, and interpretation in IoMT.
• IoMT-driven patient engagement strategies.
• Unobtrusive health monitoring with IoMT.
• IoMT security-related issues, such as device authentication, connection, encryption, and data protection regarding sensitive medical data.
• IoMT network architectures and connectivity.
• IoMT for AI-powered sensor data analysis.
• Movement tracking in healthcare settings (e.g., hospitals and aged care).
• Fall detection in aged care.
• Hand hygiene systems in hospitals.
• IoMT and mobile apps for healthcare.
• Diagnosis and disease detection using IoMT.
• Off-the-shelf vs. custom-built systems.
• Data linkage with Electronic Medical Records (EMR) and other existing databases.
• Data standardisation (e.g., HL7) used in IoMT.
• Infrastructures for IoMT (e.g., compute power, storage, and network speed).
• IoMT reliability and fault tolerance.
• Other sensor applications in the healthcare domain.

Dr. David Taniar
Dr. Kiki Adhinugraha
Guest Editors

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• smart healthcare
• medical IoT
• proactive health monitoring
• IoMT ecosystem
• healthcare of the future