With the integration of the Internet of Medical Things (IoMT), edge computing, and artificial intelligence (AI), one can observe the advancement in healthcare, generate vast amounts of health data with the potential to revolutionize patient care, reduce costs, and enhance organizational performance. In this chapter, we explore data generation, multiple storage options, AI-enabled data processing, and security considerations. Notable studies on IoMT-based healthcare systems has been reviewed, emphasizing real-time data generation through wearable sensors and mobile apps. The analysis highlights the role of AI in improving personalized treatment, diagnostic accuracy, and proactive healthcare management. The chapter concludes with a call for a comprehensive approach, prioritizing privacy, consent, and ethical data use to build trust and technological advancement in leveraging advanced technologies for a responsive healthcare system.