DefinePK

Abstract

Healthcare can only benefit from the integration of Big Data and Blockchains that improve decision making, operational management and data security. This research examines how Big Data analytics and AI driven algorithms can improve patient care, resource allocation, and predictive modeling as well as Blockchain technology to assures data lapses, integrity, privacy, and supply chain security. Four healthcare data analysis focused approaches, i.e., Federated Learning, Time-Series Prediction, Deep Learning and Smart Management Information Systems were implemented. By using the proposed model, the accuracy on disease prediction, fraud detection and medical supply chain management are achieved 95.4, 87.6 and 92.3 respectively, and are better than existing centralized systems. Related work comparative analysis reveals that solutions leveraging Blockchain into Big Data have better security, scalability, and real time processing when compared to standard Big Data. Finally, the study shows that privacy preserving AI models integrated with decentralized blockchain ledgers can decrease data breach by 74.2 percent and optimize the decision making of medical problems by 89.5 percent. While faced by regulatory impediments and interoperability difficulties, the findings emphasize the big data and Blockchain synergy as a potent means to revolutionize the healthcare managements. The focus in future research should be on scalability improvements, regulations for cross border data sharing and optimization of the Blockchain for real time processing in order to take full advantage of this technology.