Clinical Interface Feed Analyzer for Automated Mapping
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Solution Overview
Problem
The complexity and fragmentation of medical terminology across various standards and systems require significant manual effort for mapping and integration, leading to inefficiencies and increased costs, especially when implementing new systems or sharing data across healthcare organizations.
Innovation Solution
A computer-implemented method and system for analyzing and mapping clinical interface message feeds to reference clinical data and coded terminology without user input, utilizing an interface analyzer to compare content, provide proposed outputs, facilitate testing, and update references, thereby automating the mapping process and reducing manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual mapping and integration of medical terminology is performed by terminology engineers or medical coders, then mapping accuracy can be maintained, but implementation time and costs increase significantly
Solution Approach 1:
The system enables self-service automated mapping by comparing interface message feeds against a reference repository of clinical data and coded terminology. The interface analyzer automatically performs matching and mapping without requiring manual intervention by terminology engineers, thereby maintaining accuracy while dramatically reducing implementation time
Solution Approach 2:
The patent replaces the mechanical human effort of manual mapping with an automated computational system. The interface analyzer uses algorithmic comparison and matching processes to substitute for the manual work of terminology engineers, eliminating the need for human intervention while preserving mapping quality
2Reliability
If manual mapping and integration of medical terminology is performed by terminology engineers or medical coders, then mapping quality can be ensured, but resource requirements and costs increase
Solution Approach 1:
The system performs self-service automated mapping by independently comparing interface message feeds against the reference repository. This eliminates the need for manpower resources such as terminology engineers and medical coders while ensuring mapping quality through systematic automated comparison and matching processes
Solution Approach 2:
The patent substitutes human manpower resources with an automated computational system. The interface analyzer uses algorithmic processes to replace the manual work of terminology engineers, thereby eliminating resource requirements while maintaining mapping reliability through consistent automated evaluation
3Ease of operation
If proprietary codes and terminology are created to manage terminology complexity, then ease of operation within a single system is improved, but interoperability and integration with other systems deteriorate
Solution Approach 1:
The reference repository serves as a universal intermediary that enables the interface analyzer to map proprietary codes from different healthcare systems to standardized clinical data. This multi-functional reference repository allows the system to maintain ease of operation for proprietary codes while simultaneously achieving interoperability across diverse systems through automated mapping
Solution Approach 2:
The patent introduces the reference repository as an intermediary between proprietary codes and standardized terminology. The interface analyzer uses this intermediary to translate and map between different code systems, thereby preserving the ease of operation of proprietary systems while enabling interoperability and integration with other healthcare systems
Data Source
AI summary
Certain examples provide systems, methods, and apparatus to provide clinical terminology services. Certain examples provide systems, methods, and apparatus to analyze and map a new interface message feed. An example clinical interface feed analysis system includes an interface analyzer to: receive a clinical message feed including content; automatically compare the content from the clinical message feed to a reference to match and map the content to at least one of reference clinical data and coded terminology included in the reference without user input; and provide a proposed interface output for review. The example system includes a tester to facilitate testing of the proposed interface output in conjunction with a clinical system to release the proposed interface output as an interface for incoming messages. The example system is to update the reference based on the content from the clinical message feed and the interface mapping.


