Connected health is revolutionizing remote patient care through the integration of wearable device applications, enabling continuous monitoring, real-time data collection, and enhanced patient engagement. This chapter explores the transformative role of wearable technologies in bridging gaps between traditional healthcare models and patient-centered digital solutions. By leveraging biosensors, artificial intelligence (AI), and cloud-based analytics, wearable devices provide clinicians with actionable insights, allowing for early disease detection, personalized treatment adjustments, and improved chronic disease management. The chapter critically examines the technological infrastructure of connected health, including data interoperability, cybersecurity concerns, and regulatory frameworks that govern wearable medical devices. Additionally, it assesses the impact of these innovations on health outcomes, cost efficiency, and healthcare accessibility, particularly in underserved populations. The discussion extends to the role of machine learning algorithms in predictive analytics, facilitating proactive interventions in conditions such as cardiovascular disease, diabetes, and respiratory disorders. As healthcare systems shift toward value-based care, wearable devices emerge as a pivotal tool in reducing hospitalizations, optimizing resource allocation, and fostering patient autonomy. This chapter concludes by addressing current challenges, ethical considerations, and future directions for wearable technologies in remote patient care, emphasizing their potential to reshape healthcare delivery in an increasingly digital world.