Configurable Medical Data Processing Workflow for Traceability
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Solution Overview
Problem
Current medical data processing systems lack integration and traceability, leading to inefficiencies and compliance issues in clinical research and diagnostics, as different systems handle data acquisition, annotation, analysis, and compliance separately.
Innovation Solution
A configurable medical data processing workflow that applies a set of configurable processing operations to medical imaging data, allowing user-defined criteria for operation selection, parameter adjustment, and custom task definition, with automated and operator-assisted tasks generating records and traceability reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple separate systems are used for data acquisition, annotation, analysis, and compliance management, then each system can be optimized for its specific function, but the overall system complexity increases and traceability is lost
Solution Approach 1:
The patent merges multiple separate medical data processing systems (data acquisition, annotation, analysis, and compliance management) into a single integrated platform. This integration maintains the functional optimization of each subsystem while eliminating the complexity and traceability issues caused by separate systems operating in isolation.
Solution Approach 2:
The integrated platform provides universal functionality that handles diverse medical data processing tasks across multiple stages. A single system performs data acquisition, annotation, analysis, and compliance management, replacing multiple specialized systems while maintaining adaptability through configurable processing operations.
2Productivity
If automated systems are used for medical data processing, then efficiency is improved, but traceability and documentation of processing steps are compromised
Solution Approach 1:
The system implements automated feedback mechanisms that continuously document and record all processing operations. As automated systems perform data processing tasks, they automatically generate and store traceability information about each operation, ensuring that efficiency gains do not come at the cost of traceability.
Solution Approach 2:
The system establishes predetermined documentation protocols that automatically capture processing information before, during, and after automated operations. This preliminary action ensures that traceability data is captured systematically without requiring manual intervention, maintaining both efficiency and documentation integrity.
3Reliability
If manual expert annotation is integrated with automated processing, then data quality and compliance are improved, but processing time and operational complexity increase
Solution Approach 1:
The system segments processing tasks into automated and manual components, allowing expert annotation to occur only where necessary for data quality while automated systems handle routine processing. This segmentation reduces overall processing time by eliminating unnecessary manual steps while maintaining reliability through targeted expert intervention.
Solution Approach 2:
The system dynamically adjusts the balance between automated and manual processing based on data characteristics and quality requirements. Processing workflows adapt in real-time, routing tasks to automated or manual handlers as appropriate, which maintains data quality while minimizing processing time and operational complexity.
Data Source
AI summary
Disclosed herein is configurable medical data processing workflow, including a set of configurable processing operations that can be applied to medical imaging data. The operations can be configured based on user-defined criteria, such as selecting predefined operations, adjusting parameters, or defining custom tasks. The medical data processing workflow can facilitate the execution of automated and/or operator-assisted tasks, each resulting in a transformation or annotation of the medical data. Records can be generated for each task, including unique identifiers and operation details. A traceability report can be generated, documenting all operations performed, enabling verification and traceability of the data processing path, supporting data integrity and compliance.