Database Record Processing via Dynamic Query Tagging
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current systems for managing transaction records in a database face delays due to data anomalies and issues with handling records, which can impact the timely processing of transactions and affect cash flow, especially in healthcare settings where payments may become contested.
Innovation Solution
A records management and processing system that maintains rules for processing records based on defined conditions, applies tags to identify records requiring attention, and uses a workflow engine to prioritize and expedite the handling of tagged records through dynamic query sessions and annotation engines to facilitate decision-making and action initiation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional record processing systems are used, then system simplicity is maintained, but processing delays occur due to data anomalies and issues
Solution Approach 1:
The system segments record processing into multiple stages: initial processing, anomaly detection, tagging, and prioritized handling. Records are divided into normal and anomalous groups, with anomalous records receiving specialized attention through tags and priority queues, allowing simultaneous processing of different record types through separate channels.
Solution Approach 2:
The patent introduces intermediary components including anomaly detection mechanisms, tagging systems, and priority assignment modules that mediate between raw record intake and final processing. These intermediaries filter, categorize, and prepare records for efficient processing, resolving the contradiction by adding complexity only where needed to handle problematic records.
2Productivity
If all records are processed uniformly, then processing consistency is maintained, but delays occur due to data anomalies requiring additional attention
Solution Approach 1:
The system applies local quality by treating different records differently based on their characteristics. Normal records receive standard processing, while anomalous records are identified through anomaly detection and assigned special tags and priority levels. This localized differentiation ensures that records requiring additional attention receive the necessary focus without delaying the processing of standard records.
Solution Approach 2:
The system performs preliminary anomaly detection and tagging before the main processing stage. By identifying problematic records in advance and assigning them appropriate priority tags, the system prepares the processing pipeline to handle different record types efficiently, ensuring both accuracy for complex records and speed for standard records.
3Productivity
If records requiring attention are not prioritized, then processing simplicity is maintained, but cash flow is affected due to delayed transactions
Solution Approach 1:
The system segments records into priority categories using tags that indicate urgency and importance. High-priority records affecting cash flow are separated and routed through expedited processing channels, while lower-priority records follow standard processing paths. This segmentation enables the system to focus resources on cash-critical transactions without completely redesigning the overall processing architecture.
Data Source
AI summary
Embodiments of the present disclosure are directed to methods and systems for the processing of database records based on results of a dynamic query session. More specifically, one or more templates can be defined. Each template can relate to a pre-defined condition of one or more records of the plurality of records and can define a dynamic query session related to the one or more records and one or more actions directed to the one or more records. The records can be monitored for an occurrence of the pre-defined condition on at least one record. In response to detecting the occurrence of the pre-defined condition on the at least one record, the dynamic query session related to the at least one record can be launched and the one or more actions can be initiated based on results of the dynamic query session.