Event-Activated Error Resolution for Medical Billing
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Solution Overview
Problem
Medical systems face significant revenue losses due to errors in data entry and billing processes, leading to delayed or unpaid invoices, which are inefficiently resolved through manual human intervention, requiring extensive resources and time.
Innovation Solution
An event-activated dynamic evolutionary algorithm that identifies and corrects errors across multiple accounts by activating a controller process, creating agents to implement instructional sets, and generating reports to resolve errors, thereby reducing the need for manual intervention and increasing revenue collection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual human intervention is used to resolve errors in medical billing accounts, then errors can be corrected, but the process is inefficient, error-prone, and requires extensive full-time resources
Solution Approach 1:
The system implements self-service through automated error detection and resolution mechanisms. The computer system automatically identifies errors in medical billing accounts, determines appropriate corrections based on predefined rules, and applies fixes without requiring manual human intervention for each error, thereby improving efficiency while maintaining reliability
Solution Approach 2:
The patent replaces the mechanical manual process of error correction with an automated computer-based system. The system uses electronic algorithms to detect, analyze, and resolve errors in medical billing accounts, substituting human manual operations with automated computational processes that are both faster and more reliable
2Reliability
If more manpower and time are allocated to manually fix errors in medical accounts, then error resolution completeness improves, but the time-consuming process leads to further delays in payment collection
Solution Approach 1:
The system performs preliminary error detection and resolution actions automatically as part of the billing process. By identifying and correcting errors before invoice submission, the system prevents payment delays without requiring additional time for post-error correction, thus maintaining completeness while reducing time loss
Solution Approach 2:
The automated error resolution system operates continuously and concurrently with other billing processes. Multiple errors across multiple accounts are resolved simultaneously through continuous automated operations, rather than sequentially through manual processes, thereby maintaining high completion rates while minimizing payment collection delays
3Productivity
If the medical system processes a high volume of accounts quickly to meet payment deadlines, then productivity increases, but errors in data entry and billing occur more frequently
Solution Approach 1:
The system implements automated feedback mechanisms that continuously monitor processed accounts for errors. When errors are detected, the system automatically triggers correction processes, creating a closed-loop system that maintains high processing speeds while ensuring data accuracy through real-time verification and correction
Solution Approach 2:
The patent replaces manual data entry and verification processes with automated computer-based systems. The automated system processes accounts faster while simultaneously performing error detection and correction, eliminating the inverse relationship between processing speed and accuracy that characterizes manual processes
4Reliability
If multiple coding systems are used for medical billing to ensure comprehensive coverage, then billing completeness improves, but the complexity of the system increases, leading to more errors
Solution Approach 1:
The automated error resolution system is designed with universal capabilities to handle multiple coding systems simultaneously. The system can detect and resolve errors across different medical coding standards (such as ICD-10, CPT, HCPCS) using a unified automated platform, thereby maintaining billing completeness across diverse coding requirements without proportionally increasing system complexity
Solution Approach 2:
The system introduces an automated error detection and resolution layer that acts as an intermediary between multiple coding systems and the billing process. This intermediary layer standardizes error handling across different coding systems, managing complexity centrally while allowing individual coding systems to maintain their specific requirements for billing completeness
Data Source
AI summary
Computerized systems and methods are provided to intelligently and dynamically monitor at least one account using an evolutionary algorithm to identify and resolve errors. After receiving one or more indications to initiate a controller process as a result of identifying one or more errors within one or more accounts, the controller process is activated. A local cloud controller determines whether the one or more errors are located on a job list that includes a plurality of errors and instruction sets to resolve each of the plurality of errors. Then, the local cloud controller creates one or more agents to implement the instruction sets on the one or more errors to resolve them. Following this, one or more reports are generated that include the status of the one or more errors after the instruction sets have been implemented.