Latency-Based Data Buffering for Complete Claim Processing
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Solution Overview
Problem
Conventional data processing systems fail to efficiently handle latency in communication between disparate systems, leading to incomplete data processing and inaccurate conclusions due to missing information, which is particularly problematic in healthcare services where delays in claim adjudication result in rejected claims and inefficiencies.
Innovation Solution
A computer-implemented method and system that determines a buffering period based on historical latency in data communication between systems, allowing for delayed processing of data until complete datasets are received, thereby ensuring accurate claim processing and reducing disconnects between data sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data processing is performed immediately upon receipt, then processing speed is improved, but data completeness deteriorates due to latency and missing information
Solution Approach 1:
The system performs preliminary actions by establishing a buffering period before actual data processing occurs. Historical latency data is analyzed in advance to determine appropriate buffering durations, ensuring that data is available and complete before processing begins, thus resolving the contradiction between speed and completeness
2Device complexity
If conventional data processing is used, then system simplicity is maintained, but claim accuracy deteriorates due to incomplete data and processing errors
Solution Approach 1:
An intermediary buffering mechanism is introduced between data receipt and processing. This buffer, governed by historically determined latency parameters, acts as a mediator that ensures data completeness before processing occurs, thereby improving claim accuracy without requiring complex real-time analysis during processing
3Loss of time
If real-time data processing is implemented, then response time is improved, but data quality deteriorates due to latency and missing information
Solution Approach 1:
The system performs preliminary analysis of historical latency data to establish buffering periods before actual processing occurs. This allows the system to maintain near-real-time responsiveness while ensuring data quality by accounting for known latency patterns in advance, thus resolving the contradiction between response time and data quality
Data Source
AI summary
Systems and methods are disclosed for determining a buffering period based on historical latency in data communication. The method includes a first computing system receiving a first set of data. The first computing system determines a buffering period based at least in part on historical latency in communicating data between the first computing system and a second computing system. The first computing system queues the first set of data with the buffering period for delayed processing of the first set of data. The first computing system receives from the second computing system a second set of data prior to the expiration of the buffering period. The first computing system initiates the processing of the first set of data in view of the second set of data.