Mapping Electronic Messages to Laboratory Result Identifiers
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Solution Overview
Problem
Conventional methods for identifying laboratory results in electronic messages are prone to errors, leading to incorrect mapping, which can result in suboptimal patient treatment and inaccurate clinical trial design, due to the lack of consistency in coding and the absence of standard identifiers in these messages.
Innovation Solution
A method and system using a hardware processor to receive electronic messages, identify standard laboratory result identifiers, and associate laboratory result segments with these identifiers to generate mapped laboratory results, ensuring accurate mapping and integration across different healthcare systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional methods are used to identify laboratory results in electronic messages, then the process is simple and direct, but mapping errors occur due to lack of consistency and absence of standard identifiers
Solution Approach 1:
The patent introduces an intermediary mapping system that translates between various laboratory result identifier formats and a standardized identifier system. This intermediary layer resolves the contradiction by enabling accurate mapping without requiring direct integration between diverse healthcare systems, thus improving reliability while managing complexity through abstraction.
Solution Approach 2:
The patent implements a universal identifier mapping framework that can handle multiple identifier types (LOINC, ICD-10, CPT, etc.) through a single standardized interface. This multi-functional system improves mapping accuracy across different healthcare systems without requiring separate solutions for each identifier type, thereby improving reliability while avoiding proportional increases in system complexity.
2Reliability
If standard laboratory result identifiers are implemented across all systems, then mapping accuracy improves, but the ease of operation decreases due to additional mapping steps
Solution Approach 1:
The mapping system operates autonomously by automatically translating and standardizing laboratory result identifiers without requiring manual intervention. The system self-manages the complexity of identifier mapping through automated processes, maintaining high accuracy while preserving operational simplicity for end users who interact only with the standardized interface.
Solution Approach 2:
The patent implements preliminary mapping and standardization of identifiers before data processing occurs. By pre-establishing mapping relationships and standardizing identifiers in advance, the system eliminates the need for complex real-time mapping operations, thereby maintaining accuracy while simplifying subsequent operational steps.
3Productivity
If manual mapping of laboratory results is performed, then flexibility is maintained, but errors increase and productivity decreases
Solution Approach 1:
The patent replaces manual mechanical mapping processes with an automated computer-based mapping system. This substitution eliminates human error in identifier translation while maintaining the flexibility needed for handling various identifier types, thereby simultaneously improving both productivity and reliability through automation.
Solution Approach 2:
The mapping system incorporates feedback mechanisms that validate mapping results and verify identifier translations against established standards. This feedback loop ensures mapping accuracy by automatically detecting and correcting errors, while also optimizing processing efficiency through learned patterns from validated mappings.
Data Source
AI summary
Described herein are methods and systems for receiving electronic messages comprising laboratory results and associating the laboratory results with appropriate laboratory result identifiers to generate mapped laboratory results. The mapped laboratory results may be used to inform clinical patient treatment and/or clinical trial design or performance.