Surgical Data Metadata Annotation for Processing Traceability
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Solution Overview
Problem
Interpreting and analyzing surgical procedure data without knowledge of the processing performed on it is challenging due to the use of previous transforms and algorithms, leading to inaccurate interpretations.
Innovation Solution
A system that processes surgical procedure data, generates transformed data, and creates metadata recording the processing steps, including transformations, time, location, and revision information, using blockchain recording for archival and storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If surgical procedure data is processed using transforms and algorithms, then data interpretation and analysis capability is improved, but data integrity and interpretability deteriorate due to loss of processing information
Solution Approach 1:
The system performs preliminary action by recording processing information (transforms and algorithms applied) in metadata before data interpretation occurs. This ensures that when surgical procedure data is transformed and analyzed, the complete processing history is already documented and associated with the data, preventing loss of processing information and enabling accurate interpretation.
Solution Approach 2:
The patent introduces metadata as an intermediary element that bridges the processed surgical data and the processing operations applied to it. This metadata structure stores transforms, algorithms, and processing parameters, acting as a mediator that preserves processing information without interfering with the data transformation process itself, thus maintaining both data integrity and interpretability.
2Reliability
If processing information is recorded in metadata, then data integrity is improved, but system complexity increases due to additional metadata management
Solution Approach 1:
The metadata structure is designed with multi-functionality to justify the added complexity. It simultaneously stores transforms applied, algorithms used, processing parameters, timestamps, and data provenance information. This universal metadata framework serves multiple purposes: ensuring data integrity, enabling reproducibility, supporting data quality assessment, and facilitating regulatory compliance, thereby making the additional system complexity worthwhile.
3Productivity
If multiple transforms are applied to surgical data, then data analysis capability is improved, but traceability of processing steps deteriorates
Solution Approach 1:
The patent implements a nested structure where metadata containing processing information is embedded within or associated with the transformed surgical data. Each transformation step's information is nested within the metadata structure, creating a hierarchical organization that preserves the sequence and details of multiple transforms while maintaining data traceability throughout the processing pipeline.
Data Source
AI summary
Systems, methods, and instrumentalities are disclosed for data processing and creating a record of the processing for archival in metadata associated with the results of the processing. The processing may include transformations of the data. Transforming the data may generate transformed data. The processes performed may be archived, for example, in metadata associated with the transformed data. The metadata may be annotated with information associated with previous transforms performed on the transformed data. The metadata may be stored with the transformed data.