Information technology can play a vital role in future smart health-care systems. Using information technology, health-care services can be improved. This improvement includes shifting the specialization or department-centric health-care services to patient-centric health-care services. This shift is necessary to have better patient experiences and providing specialized health-care services to many patients with lesser resources. In information technology, the Internet of Things (IoT) is an advanced approach for ensuring this system. In IoT, industrial IoT (IIoT), Internet of nano things, Internet of robots, Internet of patients, and Internet of medical things (IoMT) are some of the concepts important to understand the functionality of smart health-care system. In addition to IoT or its variants, other IoT-associated solutions that include blockchain technology, parallel and distributed computing approaches (cloud/fog/edge), virtualization, cybersecurity, automated software development, and smart infrastructure development have shown great enhancements in recent times. The objective of this work is to explore different information-technology-based solutions that can make a patient-centric smart health-care system feasible in nearby times. In this work, recent developments of IoT that are used to interconnect health-care objects and made technical revolutions will be explored initially. Thereafter, IoT association with other technological approaches will be explored.

Chapter Contents:

• 10.1 Introduction
• 10.2 Internet of Things (IoT) network for patient-centric health-care system
• 10.2.1 IoT and its applications for health-care sector
• 10.2.2 Industrial IoT (IIoT) for smart health-care system
• 10.2.3 Resourceful and resource constraint device-based smart health-care developments
• 10.2.4 Research challenges and future direction of IoT in patient-centric smart health-care system
• 10.3 Blockchain technology and IoT for patient-centric health-care system
• 10.3.1 Need for the blockchain and IoT integration
• 10.3.2 Role of Internet of Things in health-care system
• 10.4 Cybersecurity and IoT for patient-centric healthcare system
• 10.4.1 IoT and cybersecurity
• 10.4.2 Recent developments in ensuring confidentiality, integrity, and availability (CIA) properties in IoT networks for smart health-care system
• 10.4.3 IoT cyberspace and data handling processes for information and network security
• 10.4.4 Research challenges and future direction of IoT in patient centric smart health-care system
• 10.5 Parallel and distributed computing architecture using IoT network for patient-centric health-care system
• 10.5.1 Cloud computing architectures using IoT network for health-care system
• 10.6 Artificial intelligence and machine learning approaches in IoT for smart health-care system
• 10.6.1 Healthcare, COVID-19, and future pandemic-related datasets for smart health-care systems
• 10.6.2 Artificial intelligence in smart health-care system
• 10.6.3 Machine learning aspects in smart health-care system
• 10.7 Virtualization and IoT in IoT for smart health-care system
• 10.7.1 Operating system and storage virtualization for desktopand mobile-based smart health-care applications
• 10.8 IoT and quantum computing for smart health-care system
• 10.8.1 Introduction to IoT and quantum computing
• 10.8.2 Quantum computing and smart health-care system
• 10.8.3 Challenges of quantum computing to health-care data and data security
• 10.9 Post-quantum cryptography solutions for futuristic security in smart health-care system
• 10.9.1 Code-based cryptography for health-care data and system
• 10.9.2 Lattice-based cryptography for health-care data and system
• 10.9.3 Hash-based cryptography for health-care data and system
• 10.9.4 Multivariate cryptography for health-care data and system
• 10.9.5 Supersingular cryptography for health-care data and system
• 10.9.6 Post-quantum cryptography application and research challenges for smart health-care system
• 10.10 Drone and robotics operation management using IoT network for smart health-care system
• 10.10.1 Medical robots and recent developments
• 10.10.2 Drone and IoT network for health-care operations
• 10.10.3 Robot, drone, and IoT network integrations for health-care applications
• 10.10.4 Recent developments and future directions
• 10.11 Conclusion and future scope
• References

Inspec keywords: Internet of Things; reinforcement learning; health care; cloud computing; smart phones; virtual reality; production engineering computing; data privacy; medical information systems; deep learning (artificial intelligence); mobile computing; parallel processing; epidemics; authorisation; diseases; blockchains; message passing

Other keywords: smart infrastructure development; quantum computations; parallel computing approaches; software development; smart health care system; artificial intelligence; distributed computing approaches; Healthcare 4.0; data security; Internet of Things; reinforcement learning; neural network; smart medical; ML; Internet of nano things; smartphone-based mobile applications; data privacy; Internet of medical things; message passing interface; smart ambulance; COVID-19; pharmaceutical system; MPI; information technology; transportation systems; cybersecurity; IIoT-based health-care solutions; blockchain technology; virtual reality; virtualization; federated learning; IoT networks; deep learning; VR; AI; IoMT; Internet of robots; cryptography primitives protocols; patient-centric smart health-care system; machine learning

Subjects: Biology and medical computing; Distributed databases; Mobile, ubiquitous and pervasive computing; Neural nets; Cryptography; Medical administration; Reinforcement learning; Computer networks and techniques; Industrial applications of IT; Parallel software; Computer communications; Internet software; Data security; Virtual reality; Production engineering computing