Blockchain Medical Data Router Standardization
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Solution Overview
Problem
Medical data from various sources is often unstandardized, leading to difficulties in handling, data mismanagement, leakage, and loss, as well as challenges in searching and indexing, particularly in blockchain systems used in medical settings.
Innovation Solution
A blockchain-based system with a geographically distributed architecture that transforms unstructured or semi-structured data into a standardized format, utilizing content-based routers and machine learning tools for natural language processing, indexing, and secure data access across distributed locations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If medical data from multiple sources is collected in different digital formats, then data completeness is improved, but data management complexity and risk of mismanagement increase
Solution Approach 1:
The patent applies homogeneity by standardizing all medical data from different sources into a common digital format. The system transforms heterogeneous data structures into a unified schema, enabling consistent processing and management across diverse medical information systems while maintaining data completeness from multiple sources.
Solution Approach 2:
The patent introduces an intermediary standardized data format that acts as a mediator between diverse medical data sources and the central repository. This intermediate layer transforms and normalizes data before storage, reducing management complexity while preserving data from multiple sources.
2Adaptability or versatility
If data is stored in non-standardized formats, then data diversity from multiple sources is preserved, but searching and indexing efficiency deteriorate
Solution Approach 1:
The patent standardizes data formats to enable efficient searching and indexing while maintaining adaptability. By converting diverse medical data into a common structured format with standardized metadata schemas, the system achieves both search efficiency and data diversity preservation through uniform data organization.
Solution Approach 2:
The patent applies preliminary action by pre-processing and standardizing data during the ingestion phase before storage. Data transformation, validation, and indexing are performed in advance, enabling efficient future searches without compromising the diversity of source data.
3Ease of operation
If centralized data repositories are used, then data accessibility is improved, but security risks and single points of failure increase
Solution Approach 1:
The patent segments the centralized repository into distributed storage units across multiple locations. Data is partitioned and stored across a network of nodes, eliminating single points of failure while maintaining accessibility. Each segment can be independently accessed and managed, improving both reliability and availability.
Solution Approach 2:
The patent introduces intermediary layers including standardized data formats, metadata schemas, and protocol buffers that mediate between diverse data sources and the distributed repository. These intermediaries enable secure, standardized access across the distributed system without creating centralized vulnerability points.
Data Source
AI summary
A blockchain configured system includes a router and a blockchain configured record bank. The router collects data and converts it in a format in accordance with a defined standard. The blockchain configured record bank can include or be coupled to a data repository. The blockchain configured record bank can be configured to be coupled to the data provider through the router over a communication network. The blockchain configured record bank stores the data received from the data provider and can be accessible or searchable from within or outside the blockchain configured record bank. The blockchain configured record bank can be coupled to or include a data logging unit that maintains metadata associated with the data and configured to facilitate natural language processing capabilities. The router and the blockchain configured record bank may be coupled to machine learning system, metadata validation system, and master data validation system.