Guest Editors
Dr. Munir Ahmad
Email: munir@ncbae.edu.pk
Affiliation: School of Computer Science, National College of Business Administration & Economics, Lahore 54000, Pakistan
Research Interests: machine learning, deep learning, sentiment analysis, big data analytics, cyber security
Dr. Nouh Elmitwally
Email: Nouh.elmitwally@bcu.ac.uk
Affiliation: School of Computing and Digital Technology, Birmingham City University, Birmingham, B4 7XG, United Kingdom
Research Interests: data science, machine learning, deep learning
Dr. Abdur Rehman Sakhawat
Email: arbhatti@ncbae.edu.pk
Affiliation: School of Computer Science, National College of Business Administration & Economics, Lahore 54000, Pakistan
Research Interests: app development, AI, cloud computing, data mining
Summary
Aim and Scope:
The Internet of Medical Things (IoMT), along with cloud computing technology, has transformed the healthcare sector into smart, interconnected, and super-efficient healthcare solutions. IoMT, a combination of connected medical devices, sensors, and wearables, has contributed to real-time health monitoring, diagnosis, and personalized treatment. The combination of IoMT and the cloud's data-absorbing and processing abilities provides the necessary background for the improvement of decision-making, patient outcome, and operational efficiency in healthcare systems.
This special issue is intended to address the invention of cloud and IoMT technologies by requesting the submission of quality articles and presentations in order to investigate their utilization in advanced health solutions. The objective is the introduction of the cutting-edge technologies, methodologies, frameworks, and applications of this particular field of technology, focusing on solving real-life problems and creating innovative products, such as patient care, disease management, and the development of disease monitoring systems.
Challenges and Objectives:
The key challenges in integrating IoMT and cloud technologies for smart healthcare solutions include data security and privacy, integration of heterogeneous devices, ensuring reliable connectivity, and managing large volumes of health data effectively. Addressing these challenges is crucial for achieving seamless interoperability and maintaining trust in smart healthcare systems.
The objectives of this special issue are to:
· Investigate the current state and future potential of IoMT and cloud technology integration in healthcare.
· Identify barriers to implementation and propose innovative solutions.
· Highlight successful use cases and applications.
· Explore new business models and opportunities for healthcare stakeholders.
Topics of Interest:
We welcome submissions on a variety of topics, including but not limited to:
· Architectures and frameworks for integrating IoMT with cloud platforms.
· Innovative IoMT devices and sensors for healthcare applications.
· Data management strategies for large-scale health data on cloud platforms.
· Security and privacy solutions for IoMT and cloud-based healthcare systems.
· Real-time monitoring and analytics for patient health management.
· Case studies of successful implementations of IoMT-cloud integrated solutions.
· Remote patient monitoring and telehealth enhancements through IoMT and cloud.
· AI and machine learning applications in IoMT-cloud healthcare ecosystems.
· Challenges in regulatory compliance and data standardization.
· Interoperability solutions for IoMT devices and cloud systems.
· Impact of integrated solutions on patient outcomes and healthcare efficiency.
Keywords
Internet of medical things (IoMT), cloud computing, smart healthcare, data security and privacy, remote patient monitoring, healthcare interoperability, real-time health analytics
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