Dynamic Healthcare Data Streaming System
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Solution Overview
Problem
Current healthcare IT systems are inefficient due to legacy data systems using sub-optimal file formats for transactional data, leading to high costs and hidden expenses, particularly with HIPAA ASC X12 5010 standards, which require significant infrastructure and usage charges, making it difficult for consumers to access transparent and accurate healthcare costs.
Innovation Solution
A dynamic transactional data streaming system that processes healthcare-related data using streaming to minimize memory footprint, allowing for real-time analysis and dynamic rule injection, enabling efficient processing and parsing of data while reducing system downtime and costs by using a graph-based representation of data sources and supporting various standards, including HIPAA ASC X12 5010.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If legacy data systems use HIPAA ASC X12 5010 standards for transactional data transmission, then data standardization and portability are improved, but infrastructure costs and usage charges increase significantly
Solution Approach 1:
The patent extracts the essential data exchange functionality from the complex HIPAA ASC X12 5010 framework and implements a simplified custom data format that achieves the same portability goals without the associated infrastructure costs and usage charges
Solution Approach 2:
The patent uses lightweight, simple data formats that can be processed without expensive infrastructure, replacing the need for costly HIPAA-compliant clearinghouses and EDI systems while maintaining data standardization benefits
2Reliability
If legacy data systems load transactional files completely into memory at once, then data processing completeness is improved, but memory usage and system resource consumption increase
Solution Approach 1:
The patent divides transactional data files into smaller segments or records that can be processed individually or in small batches using streaming techniques, eliminating the need to load entire files into memory while ensuring complete data processing through systematic iteration
Solution Approach 2:
The patent implements continuous streaming processing that reads and processes data records sequentially as they arrive or are generated, maintaining uninterrupted data flow and complete processing without requiring large memory allocations for batch loading
3Adaptability or versatility
If companies use clearinghouses and EDI systems for health care transactions, then transaction standardization is improved, but administrative costs and hidden expenses increase
Solution Approach 1:
The patent enables direct peer-to-peer data exchange between health care systems using simple, well-defined data formats and protocols, eliminating the need for intermediary clearinghouses and EDI systems while maintaining transaction standardization through the custom format specification
Solution Approach 2:
The patent introduces a simple, standardized data format as a universal intermediary that enables direct communication between different health care systems without requiring expensive clearinghouse infrastructure, achieving transaction standardization through the data format itself rather than through intermediary systems
Data Source
AI summary
A system and method for dynamic transactional data streaming are provided.