Multi-Layer Adaptive Packet Routing for Healthcare Billing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The variability in healthcare service usage by employees creates challenges for employers in budgeting and cost forecasting, and the existing billing models for healthcare providers are inefficient, leading to high overhead and stress on payment networks.
Innovation Solution
A multi-layer adaptive routing (MLAR) system that stores a custom group instance of service providers and user groups, receives data requests, submits queries, creates and routes data packets among users, and transmits them to relevant users, thereby simplifying payment processing and reducing message traffic.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If individual billing and payment processing is used for each healthcare visit, then payment accuracy is improved, but network overhead and processing time increase significantly
Solution Approach 1:
The patent combines multiple individual billing requests into a single batched payment transaction. The payment gateway aggregates payment requests from multiple healthcare providers into one consolidated transaction, reducing the number of individual network communications while maintaining accurate payment distribution to each provider based on their respective service costs.
2Measurement precision
If detailed tracking of each healthcare service is maintained, then billing accuracy is improved, but system complexity and overhead increase
Solution Approach 1:
The system segments billing information into structured data elements that are attached to each payment request. Each healthcare service is represented as a discrete billable item with specific parameters (service type, cost, provider ID), allowing accurate tracking without requiring a complex centralized database for every detail.
Solution Approach 2:
The payment gateway acts as an intermediary that receives detailed billing information from healthcare providers, processes and validates the data, then translates it into standardized payment transactions. This mediator layer simplifies the overall system architecture by handling the complexity of data reconciliation and payment distribution centrally.
3Reliability
If multiple communication channels are used for payment notifications, then information delivery reliability is improved, but network traffic and overhead increase
Solution Approach 1:
The system merges multiple notification messages into a single consolidated communication. Instead of sending separate notifications for each payment transaction, the gateway batches payment results and sends a unified notification containing multiple payment outcomes, reducing network traffic while ensuring all relevant parties receive complete information.
Data Source
AI summary
A multi-layer adaptive routing (MLAR) computing device including at least one processor in communication with at least one memory adaptively routes packet data within one or more networks. The MLAR device stores a custom group instance on a database, the instance includes a network of a plurality of service providers and a consultant comprised of a plurality of user groups. The MLAR device submits a query to the database based on a data request from a user. Data packets are created based on the database's response to the query, which are then divided, routed, and transmitted among a plurality of users within the custom group instance.