Biosensors in Intelligent Healthcare and Integration of Internet of Medical Things (IoMT) for Treatment and Diagnosis

Abstract

The empowerment of healthcare providers with data-driven insights, fostering proactive rather than reactive care, emerges as a pivotal theme. The potential for reducing healthcare costs through preventive care and optimized resource allocation adds a layer of economic significance to the discussion. However, the path to this utopian vision is not without its challenges. The study addresses the ethical dilemmas surrounding patient data privacy, security vulnerabilities inherent in IoMT ecosystems, and the need for robust regulatory frameworks to safeguard against misuse. Furthermore, it delves into the challenges of interoperability, scalability, and integration faced by healthcare organizations seeking to embrace these technologies. Amidst these challenges, the study drives towards the future as it explores emerging trends such as implantable biosensors, nanotechnology applications, and the utilization of artificial intelligence for data analysis. The paper commences by illuminating the fundamental principles underpinning biosensors and their diverse utility in healthcare. It traverses through various types of biosensors, ranging from glucose monitoring for diabetics to wearable electrocardiogram (ECG) devices, showcasing their role in early disease detection, continuous monitoring, and personalized medicine. The Internet of Medical Things, a rapidly expanding network of interconnected medical devices and systems, serves as the fertile ground upon which biosensors flourish. This study elucidates the IoMT’s architecture, encompassing smart medical devices, secure data transmission, and advanced analytics. It elucidates how biosensors become integral components within the IoMT ecosystem, transforming passive devices into active participants in patient care.