This report provides a comprehensive analysis of big data technology within healthcare organizations. It begins with an overview of the background and the aim of leveraging big data to address challenges in the healthcare industry. The report delves into the meaning of big data, highlighting its key characteristics of volume, variety, and velocity, and explores its potential significance, including improved outcomes, fraud detection, and personalized medicine. It also examines various innovation tools and techniques like JTBD, outcome expectation, and digital prototyping, demonstrating how big data can foster innovation in the healthcare sector. The conclusion emphasizes the transformative potential of big data in healthcare, making this report a valuable resource for understanding the technology's impact and future possibilities. The report also discusses the significance of big data in healthcare, including its impact on early disease detection, population health management, and fraud detection. Furthermore, the report analyzes the role of big data in healthcare innovation, highlighting tools like JTBD, outcome expectation, and digital prototyping.