Dynamic Connectivity Path Routing for Healthcare Payer Systems
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Healthcare providers face productivity issues due to unresponsive connections with payers or information sources during insurance eligibility verification, leading to delays in transaction processing and reduced administrative throughput.
Innovation Solution
A system dynamically determines and ranks connectivity paths based on metrics like availability, cost, and quality, automatically rerouting requests to higher-ranked sources when primary connections are unavailable, and continuously updates rankings with new information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual switching of connectivity paths is used when primary connection is unavailable, then system reliability is improved, but productivity deteriorates due to administrative user time loss
Solution Approach 1:
The system automatically monitors connectivity status and performs path switching without requiring administrative user intervention. The connectivity management system detects unresponsive connections and autonomously reroutes requests to alternative paths, allowing the system to serve itself rather than relying on manual user action.
Solution Approach 2:
The system continuously monitors connectivity status by sending test requests to connectivity sources and uses this feedback to dynamically adjust routing decisions. When a primary connection is detected as unresponsive, the system receives feedback about the failure and automatically switches to alternative paths based on pre-established rankings.
2Productivity
If automatic routing to alternative connectivity sources is implemented, then productivity is improved, but system complexity increases
Solution Approach 1:
The system pre-establishes ranked lists of alternative connectivity sources before failures occur. Administrative users can configure priority rankings and preferences in advance, so when a failure occurs, the system can immediately route to the next available source without requiring complex real-time decision-making or user intervention.
Solution Approach 2:
The system dynamically changes routing parameters based on connectivity status. Instead of implementing complex real-time optimization algorithms, the system adjusts simple routing parameters by switching between pre-defined ranked paths based on connectivity availability, thereby maintaining low complexity while improving productivity.
3Productivity
If real-time connectivity monitoring is performed, then transaction efficiency is improved, but energy consumption increases
Solution Approach 1:
The system performs connectivity monitoring at periodic intervals rather than continuously. Test requests are sent at scheduled times to check connectivity status, which reduces energy consumption compared to continuous monitoring while still maintaining adequate transaction efficiency by detecting failures when they occur.
Data Source
AI summary
Dynamically determining an optimum connectivity path is provided. Default paths to connectivity sources associated with a payer may be determined and ranked based on various metrics, such as availability, content, and cost. When a connection to a primary connectivity source is determined to be down or unresponsive, a request may automatically be routed to a next connectivity source, wherein the next connectivity source is determined to be a next highest ranking connectivity source based on the various metrics. Data associated with availability, content, cost, and other attributes may be collected, stored in a database, and utilized to rank connectivity sources. Accordingly, as new information about a payer or connectivity source is discovered, default paths and rankings of connectivity sources may change.