Next Generation of Internet of Things (NGIoT) in Healthcare Systems

Introduction And Literature Survey

The Internet of Things (IoT) has transformed several sectors, but healthcare is one of them. The Next Generation of Internet of Things (NGIoT) in healthcare is the result of the confluence of cutting-edge technologies such as sensors, wearable technology, cloud computing, artificial intelligence, and big data analytics. Improved patient care, illness management, clinical workflow optimization, and remote monitoring are made possible by NGIoT's seamless connectivity, improved data collecting, and tailored services. Digital connectivity infrastructures in healthcare may fill gaps in current systems by utilising cutting-edge technology and adopting human-centered methods, encouraging efficient and effective healthcare delivery(Vermesan & Bacquet, 2018).

The basis of the Next Generation Internet of Things (NGIoT) in healthcare is examined in this study, with an emphasis on cutting-edge technology and human-centered strategies. It draws attention to the possible advantages, difficulties, and ethical issues associated with using NGIoT in healthcare settings(Shafique et al., 2020; Ystgaard et al., 2023). NGIoT aspires to better clinical decision-making, empower patients, and enable preventative and individualised healthcare treatments. Delivery of medical services is revolutionised by the Internet of Things, which improves patient outcomes, lowers costs, and improves healthcare administration(Habib et al., 2015; Stone et al., 2022). Building on the IoT's basis, the Next Generation of NGIoT introduces cutting-edge technology and human-centered methodologies to further amplify its influence on healthcare(Fornés-Leal et al., 2022). The burden of chronic illnesses, ageing populations, and rising service demand are driving the NGIoT in healthcare. Remote monitoring, customised treatments, and proactive management are made possible by NGIoT. Technology advancements such as miniature sensors, wearable technology, cloud computing, and artificial intelligence enable real-time data collecting and analysis, giving healthcare providers insightful information they may use to make wise decisions and administer prompt therapies.

NGIoT in healthcare uses cutting-edge technologies including wearables, cloud computing, sensor technology, and data analytics methods. Real-time data gathering is made possible by sensors, and wearables track vital signs and physical activity to enable remote patient monitoring and the early identification of health problems(Krishnan et al., 2018). While machine learning and AI algorithms find significant patterns and correlations to enhance predictive analytics and clinical decision-making, cloud computing provides seamless data integration and analysis(Kök et al., 2022). NGIoT in healthcare may boost productivity, improve patient outcomes, and give people more control over how they manage their health. It allows for remote patient monitoring, which lowers readmissions and hospital stays overall, particularly for chronic illnesses. Continuous observation makes it easier to see early warning signals, take prompt action, and avoid difficulties. By customising treatment regimens in accordance with each patient's requirements and preferences(Jeevanantham et al., 2023; Subha et al., 2023), NGIoT also makes it possible for individualised healthcare interventions.