Genomic Data Normalization for EHR Integration
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Solution Overview
Problem
Healthcare institutions face challenges in processing and integrating genetic and genomic test results from external laboratories, as these results are often provided in non-computable or incompatible formats, making it difficult for existing systems to interpret, store, and analyze them for clinical decision support.
Innovation Solution
A data processing system that normalizes and converts genetic data from multiple disparate sources into a common format, allowing for automatic storage and integration with electronic health records, and generates treatment recommendations based on the processed data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If genetic test results are provided in non-computable or hard-copy formats by external laboratories, then the results can be transmitted to healthcare institutions, but the results cannot be processed, stored, or analyzed by existing computing systems
Solution Approach 1:
The patent introduces an intermediary system that receives genetic test results in various non-computable formats (hard copies, non-computable electronic formats), converts them into standardized computable formats, and then integrates them into electronic health records. This intermediary conversion process enables existing computing systems to automatically process, store, and analyze the genetic data without requiring changes to those systems.
2Adaptability or versatility
If genetic test results are received in incompatible formats from different laboratories, then diverse data sources can be utilized, but the results cannot be integrated into a unified system for analysis
Solution Approach 1:
The patent applies homogeneity by converting all incoming genetic test results from different laboratories and formats into a single standardized computable format. This standardization creates uniformity in the data structure, making it possible to integrate diverse data sources into a unified system without requiring complex custom integration logic for each source.
3Reliability
If genetic data is manually processed and integrated into electronic health records, then data accuracy can be maintained, but the process is time-consuming and reduces productivity
Solution Approach 1:
The patent implements self-service by designing an automated system that independently performs the complete workflow of receiving genetic test results, converting them to standardized formats, validating the data, and integrating them into electronic health records without requiring manual intervention. This automation maintains data accuracy through systematic validation rules while dramatically increasing processing speed and productivity.
Data Source
AI summary
Systems and methods for integrating genomic results with electronic health records in accordance with embodiments of the invention are disclosed. In one embodiment, a method includes obtaining first raw genetic data formatted in a first format, obtaining second raw genetic data formatted in a second format normalizing the first raw genetic data by substituting at least one symbol in the first raw genetic data, normalizing the second raw genetic data, generating genetic data for the patient by modifying the first raw genetic data by converting the normalized symbols in the first raw genetic data to a common format, modifying the second raw genetic data by converting the normalized symbols in the second raw genetic data to the common format, and generating the genetic data for the patient based on the first raw genetic data and the second raw genetic data, and storing the genetic data.