Multi-Modal Medical Data Correlation via Keyword Association
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Solution Overview
Problem
Current medical data systems, such as HIS, PACS, RIS, CIS, and LIS, lack interoperability, leading to isolated data islands and inefficient data management and analysis, resulting in fragmented patient data and inadequate data utilization.
Innovation Solution
A data processing method and apparatus that obtains and correlates data from different modalities using keywords for associative storage and retrieval, enabling unified storage and management of multi-modal medical data, facilitating efficient data searches and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If data from multiple medical systems (HIS, PACS, RIS, CIS, LIS) are stored separately, then each system can maintain its own data structure and functionality, but data isolation occurs and unified data management becomes impossible
Solution Approach 1:
The patent introduces a data processing apparatus as an intermediary component that receives data from multiple independent medical systems, processes and correlates it using keywords, and stores it in a unified structure. This mediator enables data integration without requiring changes to the original independent systems, resolving the contradiction between system independence and data unity.
Solution Approach 2:
The patent segments data from different modalities (image data, text data, etc.) while maintaining their individual characteristics, then correlates them through keyword associations. This allows each data type to retain its structural integrity while being integrated into a unified storage framework, balancing system independence with data correlation.
2Device complexity
If data of different modalities are stored in separate systems, then storage structure can be simplified for each system, but data chains break and unified data management cannot be executed
Solution Approach 1:
The patent merges data from multiple modalities (image data, text data, etc.) into a unified storage structure while maintaining their individual characteristics through keyword associations. This combining approach enables unified data management and improves productivity without creating an overly complex storage structure, as the integration is achieved through logical association rather than physical complexity.
Solution Approach 2:
The patent creates a universal data processing apparatus that can handle multiple types of data (image data, text data, etc.) through a single integrated framework. This multi-functional system improves data management efficiency across different modalities while maintaining a relatively simple storage structure by using keyword-based correlation mechanisms.
3Adaptability or versatility
If keywords are used to correlate and store data of different modalities, then unified data management is achieved, but data processing complexity increases
Solution Approach 1:
The patent implements a self-service mechanism where the system automatically extracts keywords from data of different modalities and establishes correlations without requiring manual intervention. The data processing apparatus autonomously performs data correlation and storage, reducing the need for complex manual processing while achieving unified data management across different modalities.
Data Source
AI summary
Embodiments of the disclosure provide a method, apparatus, and device for data processing. The method comprises: obtaining data of at least two different modalities, the data comprising at least first data and second data, the first data and second stored in respective data sources; determining an overlapping keyword correlating the first data and the second data by analyzing textual descriptions associated with the first data and second data and identifying the overlapping keyword as appearing in a textual description of the first data and in a textual description of the second data; and storing the first data and the second data in an associative manner based on the overlapping keyword, the associative manner generated using the overlapping keyword.