Medical Data Processing Conditional Segments
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The existing methods for processing patient data in Electronic Health Records (EHR) to match with clinical guideline indications are inefficient due to redundant data processing and conversion, leading to prolonged processing times, which hinder real-time data analysis and comprehensive information retrieval for healthcare professionals.
Innovation Solution
The method involves forming conditional segments based on parameter values from clinical guidelines, allowing for direct matching of patient data distribution with indication conditions, reducing redundant data retrieval and conversion operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If data acquisition, conversion, and condition matching are executed one by one for each indication condition, then complete matching analysis of multiple indication conditions can be achieved, but processing time is excessively prolonged and real-time analysis cannot be achieved
Solution Approach 1:
The patent applies preliminary action by pre-converting patient data from CDA format to VMR format before the matching process begins. This one-time conversion operation prepares the data in advance, eliminating the need for repeated conversions for each indication condition. The VMR format is designed to be matching-friendly, enabling efficient subsequent operations while maintaining complete matching capability across all indication conditions.
Solution Approach 2:
The patent merges the data conversion operation into a single preliminary step that serves all subsequent indication condition matchings. Instead of converting data separately for each indication condition, the conversion is performed once and the resulting VMR structure is reused across all matching operations. This combining of operations dramatically reduces total processing time while preserving matching completeness.
2Measurement precision
If data conversion from CDA to VMR format is performed for each indication condition, then accurate matching can be achieved, but redundant data processing occurs and efficiency is reduced
Solution Approach 1:
The patent performs the data conversion from CDA to VMR format as a preliminary action before the matching process. This single conversion operation prepares all necessary data in the VMR format that will be used for all subsequent indication condition matchings. By converting data once in advance rather than repeatedly during matching, the system achieves both accurate matching (through proper format conversion) and high efficiency (by eliminating redundant conversions).
Solution Approach 2:
The patent creates a VMR format copy of the patient data that serves as a working replica for all matching operations. Instead of repeatedly converting the original CDA data, the system works with the VMR copy that has already been converted. This copying approach maintains matching accuracy while eliminating the computational overhead of repeated conversion operations.
3Loss of information
If repeated data retrieval and conversion is performed for multiple indication conditions, then comprehensive patient information can be obtained, but processing speed decreases and real-time analysis is hindered
Solution Approach 1:
The patent retrieves and converts patient data to VMR format as a preliminary action that occurs once before all indication condition matchings. This preliminary data preparation ensures that comprehensive patient information is available in the efficient VMR format for all subsequent operations. The approach maintains information comprehensiveness while achieving real-time analysis speed by eliminating repeated retrieval and conversion cycles.
Solution Approach 2:
The patent merges multiple data retrieval and conversion operations into a single unified preliminary operation. By combining what would otherwise be repeated separate operations into one comprehensive data preparation step, the system ensures all necessary patient information is captured while dramatically improving analysis speed. The merged operation produces a VMR dataset that serves all indication condition matchings efficiently.
Data Source
AI summary
A computer implemented method for processing a plurality of medical indication conditions on a computer that includes a processor communicatively coupled to a memory includes obtaining a plurality of predetermined indication conditions which relate to a plurality of parameters, and forming a plurality of conditional segments based on respective values of the plurality of parameters defined in the plurality of predetermined indication conditions. Each conditional segment of the plurality of conditional segments corresponds to a combination of different value ranges of respective parameters of the plurality of parameters. The plurality of predetermined indication conditions includes a measurement item, a reference standard, a time period, a measurement condition, and a measurement manner.