Medical Data Exchange Middleware for Healthcare Interoperability
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Solution Overview
Problem
The healthcare industry faces inefficiencies in the exchange, storage, and processing of data across non-uniform and incompatible systems, leading to unsustainable costs and a need for improved data storage, processing, and access systems that are interoperable, secure, efficient, and scalable.
Innovation Solution
A networked computing system comprising a front end and back end system, with components like smart cards, card readers, front end servers, interface servers, processing servers, and data servers, utilizing blockchain for data integrity and microservices for processing, enabling secure, efficient, and scalable data storage and access.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If non-uniform and incompatible systems are used for data exchange, then existing systems can be maintained, but efficiency and interoperability deteriorate
Solution Approach 1:
The patent implements a universal data exchange platform that enables multiple healthcare systems (hospital information systems, electronic medical record systems, laboratory information systems, etc.) to communicate through a common interface. This platform provides standardized data formats, protocols, and translation capabilities that allow incompatible systems to exchange information efficiently without requiring each system to be redesigned, thus resolving the contradiction between maintaining existing system diversity and achieving interoperability.
Solution Approach 2:
The patent introduces a middleware layer that acts as an intermediary between incompatible healthcare systems. This middleware translates data between different system protocols and formats, manages data routing, and handles integration logic centrally. By placing this intermediary layer, the system maintains the independence of existing systems while achieving efficient data exchange, thus resolving the contradiction between system complexity and exchange efficiency.
2Reliability
If data is stored across multiple incompatible systems, then data availability is maintained, but data security and transparency deteriorate
Solution Approach 1:
The patent implements a blockchain-based feedback mechanism where each data access, modification, or transfer is recorded as a transaction on the blockchain. This creates an immutable audit trail that provides real-time feedback on data provenance, access history, and integrity. The feedback loop ensures that all parties can verify data security measures while maintaining complete transparency about data usage, thus resolving the contradiction between security and transparency.
Solution Approach 2:
The patent applies preliminary cryptographic actions to data before storage and transmission, including hashing, digital signing, and encryption. These preliminary security measures are embedded in the data structure itself, ensuring that data integrity and security are maintained from the moment of creation. This preliminary action allows the system to provide both strong security guarantees and complete transparency about data handling without requiring complex verification processes later, thus resolving the contradiction between security and information availability.
3Productivity
If traditional data processing methods are used, then existing infrastructure can be maintained, but processing speed and efficiency deteriorate
Solution Approach 1:
The patent segments the data processing architecture into distinct modular components: data collection modules, processing modules, analysis modules, and output modules. Each module handles specific tasks independently and can be scaled or optimized separately. This segmentation enables parallel processing of different data streams and allows the system to maintain complex processing capabilities while improving overall throughput and speed, thus resolving the contradiction between processing efficiency and architectural complexity.
Data Source
AI summary
A system is disclosed for storage, processing, and accessing of data. The system includes a front end system and a back end system communicatively connected to the front end system. A front end system is configured to provide one or more user interfaces configured to store, process, and access data in a first data server, in response to user input, by sending messages to the back end system. The back end system includes the first data server and one or more processing servers. The one or more processing servers are configured to process messages received from the front end system by accessing in the first data server to perform one or more operations specified by the messages.