Coordination Server for Interoperable Data Exchange
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Solution Overview
Problem
Existing data processing systems face inefficiencies due to lack of interoperability among devices, leading to processing delays, increased memory and energy usage, and complexity in verifying service performance and fraud prevention, especially in contexts like medical services.
Innovation Solution
A coordination server is used to standardize data formats, encodings, and protocols, facilitating data exchange among devices by converting verification data into modified formats that can be shared across different systems, and managing data to ensure accurate payment processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If devices use their own data formats, data types, data protocols to perform services, then device autonomy and functionality are maintained, but device interoperability deteriorates leading to processing delays and systemic inefficiencies
Solution Approach 1:
The patent introduces a coordination server as an intermediary component that receives data from multiple devices using different protocols and formats, standardizes this data into a common format, and redistributes it to appropriate devices. This mediator resolves the interoperability conflict by maintaining device autonomy while enabling efficient data exchange through centralized standardization.
2Reliability
If verification data including private personal information is shared among multiple parties to verify service performance and prevent fraud, then verification accuracy and fraud prevention are improved, but data security complexity and processing overhead increase
Solution Approach 1:
The patent extracts and removes sensitive personal information from verification data before sharing it among multiple parties. The coordination server processes verification data to retain only the information necessary for service verification and fraud prevention, eliminating PII that is not essential for the verification function. This reduces data security complexity while maintaining verification accuracy.
3Loss of information
If large volumes of data with different formats and protocols are exchanged among devices to verify service performance and effectuate payment, then verification completeness is improved, but processing time and energy consumption increase
Solution Approach 1:
The patent implements preliminary standardization of data formats and protocols at the coordination server before data is distributed to multiple parties. By pre-processing and normalizing verification data into a common format, the system avoids repeated format conversions during downstream processing, thereby reducing processing delays while maintaining verification completeness.
Solution Approach 2:
The coordination server changes the parameters of exchanged data by converting different data formats, encodings, and protocols into a standardized format. This parameter transformation enables efficient processing across multiple devices without losing verification information, reducing both processing time and energy consumption.
4Loss of information
If extraneous data is included in data exchanges to facilitate service provision, then service context information is improved, but processing efficiency and energy usage deteriorate
Solution Approach 1:
The coordination server extracts and removes extraneous data from data exchanges, retaining only the information necessary for service provision and verification. By filtering out unnecessary data while preserving essential service context, the system reduces processing loads and energy consumption without compromising service functionality.
Data Source
AI summary
This disclosure provides systems, methods, and apparatuses, including computer programs encoded on computer storage media, to coordinate data exchange among a plurality of devices. In one aspect, a method is provided that includes receiving first verification data and a request from a service server, determining claim information for a payer based on the first verification data, sending the claim information to a client server, receiving an acknowledgment from the client server, and sending the acknowledgment to the service server. Additional aspects include handling payment information, verifying service completion, and converting data formats. Other aspects and features are also claimed and described.


