Blockmac: Healthcare Management System Using Blockchain and Machine (HM-BML)
Swagata Sarkar, K Sakthisree, P Bramarambika, V Harini, V P Sarumathi · 2024
This paper provides a concise overview of an optimal solution that addresses the need and concern for a proper healthcare management system. With the current growth in population and demand, managing healthcare data has become a paramount challenge. The unstructured, complex, and vast nature of this data poses significant hurdles to traditional centralized platforms, which, while commonly employed, raise concerns about security and erode user trust. This paper introduces a pioneering solution to address these challenges and establish a resilient hospital data management system. This proposal embraces the transition from Web2 to Web3, integrating the principles of decentralization, Automation, and machine learning. This transformative strategy not only tackles the immediate security and data management challenges but also lays the foundation for a revolutionary trend in healthcare data management. By leveraging the principles of decentralization, the system ensures heightened security, mitigating the risks associated with centralized platforms. Automation is employed to streamline processes, making data management more efficient and reducing the margin for human error. Machine learning algorithms play a crucial role in enhancing the system’s capabilities, facilitating advanced analytics, and contributing to predictive healthcare. The integration of these cutting-edge technologies not only fortifies data security but also creates an innovative environment conducive to future advancements in healthcare. This solution not only meets the pressing needs of the present but also anticipates the evolving landscape of healthcare data management, fostering a secure and innovative paradigm shift. This solution also generates a way to solve the overwhelming insurance bills on the clients.