Integrated Claims Adjudication System Using Clinical Data Standards
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Solution Overview
Problem
The healthcare system in the United States faces high administrative costs due to inefficient paper-based systems for claims administration, adjudication, and reimbursement, which fail to effectively integrate clinical and financial data, leading to errors, redundancy, and friction among stakeholders.
Innovation Solution
A computerized system and method for generating and processing integrated transactions that include clinical, financial, and payer benefits information, using evidence-based standards and quality criteria to determine medically appropriate care and authorize reimbursement, thereby streamlining the adjudication and reimbursement process.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If paper-based systems are used for claims administration and adjudication, then traditional processes can be maintained, but administrative costs increase and efficiency decreases
Solution Approach 1:
The patent merges clinical information systems with claims administration systems into an integrated electronic platform. This integration allows clinical data to flow directly into claims processing, eliminating paper-based workflows and manual data entry, thereby improving productivity while managing complexity through unified system architecture
Solution Approach 2:
The patent replaces mechanical paper-based systems with electronic information processing systems. Electronic claims submission and automated adjudication systems substitute for manual paper handling, filing, and processing, dramatically improving efficiency while reducing physical infrastructure requirements
2Measurement precision
If manual review of claims is performed, then detailed examination can be conducted, but time consumption and labor costs increase
Solution Approach 1:
The patent implements automated adjudication systems that self-evaluate claims against pre-established clinical guidelines, coverage policies, and billing rules. The system automatically verifies medical necessity, checks for coding errors, and determines payment eligibility without manual intervention, maintaining accuracy through rule-based logic while dramatically reducing processing time
Solution Approach 2:
The patent incorporates feedback mechanisms where the automated system continuously learns from manual review outcomes and claims appeals. This feedback loop refines adjudication algorithms and updates clinical guidelines, improving accuracy over time while maintaining efficient automated processing
3Loss of information
If separate systems are used for clinical care and administrative processing, then system simplicity is maintained, but data integration and coordination fail
Solution Approach 1:
The patent creates a universal platform that handles both clinical care coordination and administrative claims processing. The system serves multiple functions including patient record management, clinical decision support, claims generation, adjudication, and payment processing, eliminating data silos while managing complexity through integrated architecture
Solution Approach 2:
The patent introduces an intermediary integration layer that connects clinical information systems with administrative processing systems. This intermediary component standardizes data exchange protocols, transforms clinical data into claims format, and coordinates information flow between previously separate systems, reducing information loss while managing integration complexity
4Manufacturing precision
If evidence-based standards are implemented for care assessment, then reimbursement accuracy improves, but processing complexity increases
Solution Approach 1:
The patent pre-establishes clinical guidelines, coverage policies, and billing rules in the system before claims processing begins. Evidence-based standards are codified into automated decision rules and clinical pathways, allowing the system to accurately assess claims against these predetermined criteria without adding processing complexity during actual adjudication
Data Source
AI summary
A method for adjudicating and reimbursing a care provider for services provided for a clinical event is provided. The method includes the step of receiving a transaction having a number of clinical data elements. The method also includes the steps of accessing a data store including payer information and determining whether the transaction is eligible for reimbursement by at least one payer. The method also includes the steps of accessing a first knowledge base comprising evidence-based standards for providing medically appropriate care and selectively performing analysis of the clinical data elements of the transaction against at least one standard to determine if the care provided is medically appropriate. The method further includes the steps of accessing a second knowledge base containing at least one criterion for assessing quality of care and selectively performing analysis of the clinical data elements of the transaction against the at least one criterion to determine if the care provided is medically appropriate. Also, the method includes determining a level of reimbursement based on the medical appropriateness and quality of the care provided and authorizing reimbursement of the care provider from at least one payer.