Real-Time Data Determination Architecture
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Solution Overview
Problem
Conventional computer architectures struggle to interface with multiple electronic data sources to provide real-time, actionable data and system control, and they are inefficient in handling and integrating diverse data types.
Innovation Solution
The described computer architecture dynamically generates real-time data by interfacing with multiple data sources, using a security protocol to verify requests, and transmitting data packets to process claims and update ledgers, enabling efficient data integration and display on graphical user interfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional architectures interface with multiple electronic data sources to provide real-time data, then data integration capability is improved, but computing time and system stress increase
Solution Approach 1:
The system segments data processing by implementing specialized interface modules for different data sources (e.g., SQL database interface, XML interface, web service interface). Each interface module handles specific data source types independently, allowing parallel processing and reducing overall computing time while maintaining versatility in interfacing with multiple electronic data sources.
Solution Approach 2:
The patent introduces intermediary components including a data translation layer and message queue system that mediate between diverse data sources and the core processing system. These intermediaries buffer, translate, and route data packets, reducing direct processing overhead and system stress while enabling real-time data integration from multiple sources.
2Adaptability or versatility
If conventional architectures interface with multiple electronic data sources to provide real-time data, then data integration capability is improved, but system stress increases
Solution Approach 1:
The system divides processing load across multiple specialized interface modules and threads, each handling specific data source connections independently. This segmentation distributes system stress across multiple components rather than concentrating it, allowing the system to maintain high adaptability while managing stress through parallelized, modular architecture.
Solution Approach 2:
Intermediary message queues and translation layers absorb and buffer processing stress from multiple data sources. These intermediaries decouple direct connections from core processing, allowing the system to handle diverse data integration demands while maintaining stable operational stress levels through asynchronous processing.
3Adaptability or versatility
If conventional architectures translate data calls between disparate systems, then data compatibility is improved, but computational complexity increases
Solution Approach 1:
The patent implements universal interface modules that can handle multiple data formats and protocols through standardized translation mechanisms. Each interface module is designed to work with various data sources (SQL databases, XML files, web services) using common translation frameworks, improving data compatibility while reducing overall computational complexity through code reuse and standardized processing patterns.
Data Source
AI summary
Computer architectures and associated methods for real-time data processing are disclosed. In some embodiments, a trial adjudication request for a cost determination can be received by a first server and verified using a security protocol, wherein a password token of the trial adjudication request can be matched to a stored password token. The first server can transmit an adjudication command packet to a second server that includes at least one data set of a plurality of data sets and a command for a claim determination, and can receive a response packet from the second server. The first server can determine that a successful claim determination was performed by the second server from the response packet, and can transmit a reversal request packet to the second server which can cancel the successful claim determination. The first server can perform the electronic calculation using the claim data.


