Smart Mapping System for Insurance Payer Identification
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Solution Overview
Problem
Inaccurate identification of payers during insurance eligibility verification in healthcare systems leads to increased network traffic, inefficiency, and manual re-keying of transaction data due to incorrect or incomplete information entry by healthcare providers.
Innovation Solution
A smart mapping system that matches data elements from an information request with information source candidates in a mapping database, using exact or probabilistic matching to determine the intended recipient, and provides real-time feedback to users for accurate identification and selection of the intended information source.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual verification and data entry are used by healthcare providers, then flexibility and direct control are maintained, but accuracy of payer identification decreases and time consumption increases
Solution Approach 1:
The system enables automatic payer identification by having the processor autonomously match patient information with payer databases without requiring manual verification steps. The processor self-corrects identification errors by comparing multiple data sources and automatically routing transactions to the correct payer, eliminating the need for manual intervention while improving accuracy.
Solution Approach 2:
The patent replaces manual mechanical data entry and verification processes with an automated electronic processing system. The processor automatically extracts patient information, compares it against payer databases, and routes transactions electronically, substituting human operators with an automated information processing system that increases both speed and accuracy.
2Reliability
If manual re-keying of transaction data is performed to correct incorrect payer identification, then accurate information can be obtained, but network traffic increases and processing efficiency decreases
Solution Approach 1:
The system performs preliminary payer identification and validation before the actual insurance eligibility transaction is submitted. The processor pre-matches patient information with potential payers, validates the correct payer selection, and prepares the transaction data in advance, preventing incorrect submissions and eliminating the need for corrective re-keying operations.
Solution Approach 2:
The system implements feedback mechanisms where the processor continuously monitors transaction routing accuracy and uses this information to improve future identifications. When identification errors are detected, the system provides feedback to adjust matching algorithms and prevent recurrence, thereby improving reliability without requiring manual intervention.
3Productivity
If basic patient information is entered without comprehensive verification, then registration process is faster, but payer identification accuracy decreases leading to incorrect routing
Solution Approach 1:
The system maintains continuous automated verification processes that operate throughout the registration and transaction routing workflow. Rather than performing verification as a separate manual step, the processor continuously validates patient information against payer databases in real-time, ensuring accurate identification without interrupting the registration flow or reducing speed.
Solution Approach 2:
The processor performs multiple functions simultaneously: it extracts patient information, validates data format, matches against multiple payer databases, determines correct routing, and prepares transaction data all in one integrated process. This multi-functional approach eliminates the need for separate verification steps while maintaining high accuracy through comprehensive data validation.
Data Source
AI summary
Smart mapping is provided. A smart mapping system (SMS) and method identify an information source (IS) as an intended recipient of an information request item by matching one or more data elements in a dataset associated with an information request (IR) item with an IS candidate stored in a mapping database. An IS candidate may be an exact match, or a partial match with a highest match agreement score. The SMS provides for notifying an information requestor in real time or near real time when a match is determined or when a plurality of matching IS candidates are identified, such that a user is enabled to select an intended IS, or provide additional input. When a trend associated with matching particular data items to a particular IS candidate is identified, the SMS may add mapping property values to the mapping database for refining and improving the system.