Graph Representation Analytics for Application Code Protocol Recommendations
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Solution Overview
Problem
Current systems lack an efficient method to identify protocol recommendations for application data objects, particularly in complex configurations of application codes, leading to errors and denials in processing applications like health insurance claims.
Innovation Solution
A graph representation analytics approach is used to determine a protocol recommendation by identifying replaceable code nodes and determining substitute code nodes within a graph representation data object, generating a replacement configuration to optimize code configurations for application data objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional methods are used to identify protocol recommendations for application data objects, then the process requires manual intervention and has high error rates, but the computational efficiency and reliability are insufficient
Solution Approach 1:
The patent replaces manual analysis methods with a graph representation analytics system that automatically processes application data objects. The system uses graph databases to model application codes and their relationships, enabling automated identification of protocol recommendations without manual intervention, thereby improving both reliability and computational efficiency
Solution Approach 2:
The system enables application data objects to self-diagnose configuration issues by automatically analyzing their own code structures against the graph representation. The analytics engine performs self-service protocol recommendation generation, identifying replaceable code nodes and suggesting optimizations without external human assistance
2Reliability
If complex configurations of application codes are processed manually, then errors and denials increase, but the system lacks automated error reduction capabilities
Solution Approach 1:
The patent introduces a graph representation as an intermediary layer between the complex application code configurations and the analysis process. This graph model simplifies the complex relationships into structured nodes and edges, making the analysis tractable and enabling automated processing while maintaining high accuracy in identifying protocol recommendations
Solution Approach 2:
The system segments the complex application data object into discrete code nodes within the graph representation. Each application code becomes an individual node that can be independently analyzed for replaceability and optimization, breaking down the complex configuration analysis into manageable units that reduce processing errors
Data Source
AI summary
Embodiments of the present disclosure provide methods, apparatus, systems, computing devices, computing entities, and/or the like for generating a protocol recommendation for an application data object. In accordance with one embodiment, a method is provided comprising: extracting application codes from the application data object representing application codes; generating a graph representation data object that includes code nodes representing the application codes, and edges connecting code nodes to indicate an association between the code nodes; identifying a replaceable code node; extracting substitute code nodes from the graph representation data object; identifying a replacement configuration of the graph representation data object with the replaceable code node with one of the substitute code nodes; and generating the protocol recommendation based at least in part on the replacement configuration.