T/XZBX 0106-2025 Intelligent storage and management protocol for the fusion of clinical imaging data and nursing data with large amounts of data

Scope

With the rapid development of information technology and the digital transformation of the healthcare industry, the types and quantities of medical data have seen explosive growth, particularly in the generation and management of imaging data and care data. Imaging data, such as CT, MRI, and X-ray images, have become indispensable in clinical diagnosis and treatment, while care data encompasses important information such as patient care records, disease progression, and care plans. The integration of these two types of data is crucial for comprehensively understanding patients' health status, providing personalized treatment, and improving the quality of medical services. However, the management of imaging and care data faces a series of challenges. Imaging data typically features large volumes, high complexity, and high update frequencies, while care data is scattered across multiple systems and platforms with diverse data formats, storage requirements, and processing methods. Therefore, how to effectively integrate these two types of data and achieve intelligent storage, management, and analysis through big data technology has become an urgent issue in the modern medical field. This document aims to provide medical institutions with a comprehensive big data intelligent storage and management solution for integrating imaging clinical data and care data. By establishing a data integration architecture, an intelligent storage system, and efficient management mechanisms, this document helps medical institutions improve data management efficiency, achieve data sharing and interoperability, and lay the foundation for the construction of clinical decision support systems. Additionally, this document places special emphasis on data security and privacy protection to ensure the safety and compliance of medical data. This document is suitable for all types of medical institutions, particularly large hospitals, comprehensive medical service platforms, and related medical

Development Information

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