DICOM Data Quality Validation Platform for Radiology Ingestion
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Solution Overview
Problem
Assessing the data quality of DICOM data from a large number of radiology devices is impractical, inefficient, error-prone, and often impossible due to variability in imaging modalities, device configurations, and network connectivity issues.
Innovation Solution
A data quality platform that receives information about the data ingestion of DICOM data from radiology devices to a database, applies a set of data validation rules corresponding to different data ingestion stages, and generates a user interface to display the data qualities at each stage, using generic, modality-specific, and application-specific rules.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual assessment of data quality is performed by personnel, then data quality can be evaluated, but the process becomes impossible, inefficient, and error-prone when dealing with a large number of radiology devices
Solution Approach 1:
The system enables automated self-assessment of data quality through validation rules that automatically evaluate DICOM data at different ingestion stages without requiring manual personnel intervention. The validation rules systematically check data quality metrics across multiple stages including data generation, extraction, processing, and loading
Solution Approach 2:
The patent replaces manual mechanical assessment processes with an automated computational system. Validation rules are implemented as software mechanisms that automatically assess data quality, substituting human personnel with an automated validation engine that can process large volumes of data efficiently and accurately
2Quantity of substance
If data ingestion is performed across multiple stages from radiology devices to database, then comprehensive data collection is achieved, but data quality varies and is affected by issues at various stages
Solution Approach 1:
The patent divides the data ingestion process into distinct stages (data generation, extraction, processing, and loading) and applies specific validation rules to each stage. This segmentation allows targeted quality assessment at each step, identifying where quality degradation occurs while maintaining comprehensive data collection across all stages
Solution Approach 2:
The system implements feedback mechanisms where validation results from each ingestion stage are captured and analyzed. The validation engine provides feedback about data quality issues back to the ingestion process, enabling identification of root causes and corrective actions to improve overall data quality consistency
3Measurement precision
If multiple types of validation rules are applied (generic, modality-specific, application-specific), then data quality assessment becomes more comprehensive, but the complexity of the validation system increases
Solution Approach 1:
The patent creates a universal validation framework that can apply multiple types of validation rules (generic, modality-specific, and application-specific) through a single integrated system. The validation engine is designed to handle diverse rule types uniformly, reducing the apparent complexity while maintaining comprehensive data quality assessment capabilities across different imaging modalities and applications
Data Source
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AI summary
A system (100) and method (300) for determining a data quality of DICOM data (412, 416, 420) are provided. Information related to a data ingestion (402) of the DICOM data (412, 416, 420) from a radiology device (102) to a database (110) may be received (302). Respective data qualities of the DICOM data (412, 416, 420) at the set of data ingestion stages (404, 406, 408, 410) of the data ingestion (402) may be determined (304) using a set of data validation rules (414, 418, 422) corresponding to a set of data ingestion stages (404, 406, 408, 410) of the data ingestion (402) of the DICOM data (412, 416, 420) from the radiology device (102) to the database (110). A user interface (700, 800) that displays information related to the respective data qualities of the DICOM data (412, 416, 420) at the set of data ingestion stages (404, 406, 408, 410) of the data ingestion (402) may be generated (306).