Wearable devices have transformed healthcare by allowing constant monitoring of health, early diagnosis, and personalized treatment. In this chapter, the transforming role of wearable technology in clinical decision-making, preventive health, and patient care is discussed while evaluating its impact on remote patient monitoring and chronic disease management. It analyzes the intersection of artificial intelligence (AI), predictive analytics, and sensor technology in healthcare applications, regulatory barriers, data privacy issues, and emerging trends in wearable healthcare technology. Sensors, AI, and connectivity technologies are revolutionizing wearables from static vital sign monitors to predictive health devices that can detect potential health problems in real time. Devices like biosensors, fitness bands, and smartwatches are increasingly being used to care for chronic disease, allowing patients and clinicians alike to use data to remotely adjust treatments. The technologies hold the potential to enhance outcome by better engaging patients and improving compliance with professional advice. The chapter also tackles key challenges such as data privacy, regulatory frameworks, and the necessity for robust validation of wearable health metrics and delves into inequalities in access to wearable technology and options to address them. Through an examination of emerging trends, implementation issues, and future trajectories, this chapter presents a broad view of how wearable technology will influence healthcare systems, developing responsive and individualized health management systems that hold the promise to profoundly improve global public health outcomes.