Research on Medical Information Retrieval Mechanism Based on Distributed Storage and Computation

With the continuous advancement of medical technology and equipment, the healthcare domain is undergoing an unprecedented data explosion. Data from gene sequences, medical imaging to daily health monitoring offers invaluable insights for improving disease diagnosis and treatment efficacy. Concurrently, the challenge of how to effectively store, manage, access, and share this vast amount of data has emerged as a pressing issue. Traditional centralized data storage methods, with inherent flaws such as data silos, vulnerable single points of failure, and inefficiency in data transmission and access, are increasingly proving to be inadequate. To address these challenges, this research delves into a medical information access mechanism based on distributed computation and storage. This mechanism, considering the diversity, sensitivity, and continuity of medical data, introduces a novel data model. In this model, data is stored in shards across a distributed network. Each shard of data is encrypted to ensure security, and a hash chain structure is employed to ensure data integrity and continuity. Moreover, a mathematical model describing the process of data storage, retrieval, and sharing is established, and corresponding experiments are designed for validation. Experimental results indicate that the mechanism excels in enhancing data access efficiency, ensuring data safety, and maintaining data integrity, paving the way for a new solution in future medical data management.