Research is being conducted on various architectures and frameworks that utilize blockchain and other technologies to enable privacy-preserving and scalable healthcare analytics. These systems, which include federated microservices and decentralized blockchain-enabled frameworks, aim to optimize data security and access while maintaining patient privacy. The development of these technologies is being explored through multiple approaches, including the use of synthetic data, multi-layer encryption, and quantum deep learning.