Integrated Genomics-Claims Repository for De-Identified Treatment Analysis

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing healthcare data analysis systems face inefficiencies and inaccuracies in processing unstructured medical records and genomic data, leading to suboptimal treatment outcomes due to the inefficient and inaccurate analysis of unstructured health insurance claims and genomic data.

Innovation Solution

An integrated data repository system that combines structured health insurance claims data with molecular data, using hash functions and de-identification techniques to create a secure, anonymized platform for generating accurate datasets that analyze treatment histories and genomic profiles, enabling precise treatment recommendations.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If unstructured medical records and genomic data are processed using existing healthcare data analysis systems, then data processing can be performed, but the analysis accuracy and treatment outcome predictions are suboptimal

Engineering Contradiction:

Improveanalysis accuracyVSAvoidtreatment outcome reliability

Core Design Contradiction:

Measurement precisionVSReliability

Solution Approach 1:

The system segments unstructured medical records into structured data elements using natural language processing and entity recognition. Clinical notes, laboratory results, and genomic data are divided into discrete, analyzable units that can be systematically processed and integrated with health insurance claims data, thereby improving analysis accuracy and treatment prediction reliability.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent introduces an intermediary data integration layer that mediates between unstructured medical records and analysis systems. This intermediary structure standardizes and harmonizes data from multiple sources including clinical notes, genomic sequences, and claims data, enabling accurate cross-source correlations while maintaining data integrity and improving treatment outcome predictions.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Adaptability or versatility

If health insurance claims data and genomic data are integrated, then comprehensive treatment analysis is enabled, but data security and patient privacy protection become more challenging

Engineering Contradiction:

Improvetreatment analysis comprehensivenessVSAvoiddata security risk

Core Design Contradiction:

Adaptability or versatilityVSObject-affected harmful factors

Solution Approach 1:

The system extracts and separates personally identifiable information (PII) from health insurance claims data and medical records. Sensitive identifiers such as names, addresses, and social security numbers are extracted and removed, while preserving the clinical and genomic data necessary for comprehensive treatment analysis. This extraction process maintains analytical versatility while reducing security risks.

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent creates anonymized copies of patient data for research and analysis purposes. De-identified datasets are generated that replicate the structural and analytical properties of original data without containing sensitive personal information. These copies enable comprehensive multi-source data integration while protecting patient privacy and reducing security vulnerabilities.

Inventive Principle:

Principle #26Copying

3Measurement precision

If multiple data sources including health insurance claims and molecular data are integrated, then precise treatment recommendations can be generated, but system complexity increases

Engineering Contradiction:

Improvetreatment recommendation precisionVSAvoiddata integration system complexity

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system implements a universal data integration framework that handles multiple data sources through standardized interfaces and common processing pipelines. The same architectural patterns and algorithms are applied across health insurance claims data, electronic medical records, and genomic data, reducing overall system complexity while enabling precise multi-source treatment recommendations through consistent data handling.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Solution Approach 2:

The patent transforms heterogeneous data from multiple sources into a unified parameter space. Health insurance claims, clinical measurements, and genomic sequences are converted into standardized numerical and categorical parameters that can be jointly analyzed. This parameter transformation simplifies the integration process while preserving the precision needed for accurate treatment recommendations.

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS12476013B2Computer architecture for generating an integrated data repository

Publication Date: 2025.11.18 GUARDANT HEALTH INC

AI summary

An integrated data repository may be generated that includes genomics information and health insurance claims data information for a common group of individuals. A data processing pipeline may be implemented with respect to information stored by the integrated data repository. The data processing pipeline may include a number of sets of data processing instructions that are executable to analyze specified information stored by the integrated data repository and generate different datasets. The datasets may be analyzed to determine an impact of characteristics of individuals and/or an amount of impact of treatments provided to individuals in which a biological condition is present.