Automated Pharmacy Receivables Reconciliation Engine
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Solution Overview
Problem
Current methods for managing third-party payor receivables in pharmacy drug store chains are labor-intensive due to the large volume of data associated with prescription transactions, making it difficult to identify, investigate, and resolve outstanding, unpaid, or rejected prescription payments.
Innovation Solution
A pharmacy accounts receivable (PAR) system that automates the collection, formatting, and reconciliation of claim transaction data, including remittance advice, deposit information, and third-party payor data, to facilitate the identification, investigation, and resolution of third-party receivables through user-interactive graphic displays and automated matching processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated data reconciliation and matching processes are implemented, then labor requirements are reduced and processing efficiency is improved, but system complexity increases
Solution Approach 1:
The system segments the complex receivable management process into distinct functional modules: data collection from multiple sources, automated matching engine, reconciliation processes, and reporting components. Each module handles specific aspects of the workflow, making the overall system more manageable and maintainable while achieving high automation levels
Solution Approach 2:
The patent introduces an automated matching engine as an intermediary component that acts as a bridge between raw data from multiple sources (payors, processors, pharmacy management systems) and the reconciliation outputs. This intermediary automatically correlates payment data with prescription claims using multiple matching criteria, reducing manual intervention while maintaining system coherence
2Ease of operation
If manual methods are used for managing third-party payor receivables, then system complexity remains low, but labor intensity increases and processing time extends
Solution Approach 1:
The system implements self-service capabilities through automated data collection, matching, and reconciliation processes that operate without continuous human intervention. The automated matching engine independently correlates payment data with claims, and the system automatically generates reconciliation reports, freeing staff from manual data processing tasks while accelerating overall processing time
Solution Approach 2:
The patent replaces manual mechanical processes (paper-based tracking, manual data entry, manual reconciliation) with automated electronic systems. Software-based automated matching algorithms substitute for manual comparison methods, and electronic data interchange replaces physical document handling, significantly reducing both labor intensity and processing time
3Measurement precision
If comprehensive data collection from multiple sources is performed, then identification accuracy is improved, but data processing complexity increases
Solution Approach 1:
The automated matching engine is designed as a universal system capable of processing data from multiple diverse sources (different payors, processors, and pharmacy management systems) using a unified matching framework. It applies multiple matching criteria (claim ID, patient ID, NDC, quantity, price) in a standardized manner across all data sources, improving identification accuracy while managing processing complexity through consistent multi-functional processing
Data Source
AI summary
A Pharmacy Automated Accounts Receivable (PAR) System and Methods allows a pharmacy drug store chain to manage, track, and reconcile third party payor receivables associated with prescription transactions. The PAR system obtains and uses data types including, but not limited to, prescription claim data, third party deposit data, third party payor data, and remittance advice data. The data obtained is configured into a PAR database to form PAR data that is used for automatically reconciling third party payor receivables associated with prescription transactions.