Clinical Trial Document Management via Scanned Image Metadata
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Solution Overview
Problem
Managing and sharing pharmaceutical clinical trial regulatory documents is challenging due to the complexity and duration of clinical trials, with hardcopy documents being commonly used for authenticity and integrity, but their tracking and maintenance can be costly and prone to loss, rendering significant data useless.
Innovation Solution
A computer-implemented method and system that converts scanned images of physical documents with optical machine-readable codes into electronic documents, storing document information as metadata to facilitate efficient management and sharing, using a distributed computer system with client and server components for document processing and storage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If hardcopy documents are used for clinical trials, then authenticity and integrity are improved, but tracking and maintenance cost increase and risk of loss increases
Solution Approach 1:
The patent creates electronic copies of hardcopy clinical trial documents through scanning, embedding machine-readable codes (barcodes or QR codes) that contain unique identifiers. These electronic copies maintain the authenticity and integrity of original documents while enabling efficient digital tracking and management, eliminating the high costs associated with physical document handling and storage.
Solution Approach 2:
The patent introduces machine-readable codes as intermediaries between physical documents and digital management systems. These codes serve as bridges that link scanned document images to metadata databases, enabling automated tracking, retrieval, and validation of clinical trial documents without requiring manual handling of physical copies.
2Reliability
If hardcopy documents are used for clinical trials, then authenticity is improved, but risk of data loss increases
Solution Approach 1:
The patent creates redundant electronic copies of clinical trial documents with embedded machine-readable codes. Multiple copies can be stored across different locations and formats (image files, metadata databases), ensuring that if one copy is lost or damaged, the information can be recovered from other copies, thereby reducing the risk of data loss while maintaining document authenticity.
Solution Approach 2:
The patent implements preventive measures by embedding machine-readable codes and associated metadata during the scanning process, creating a backup system before original documents are stored or transported. This preliminary digital documentation ensures that even if physical documents are lost or damaged, the essential information can be recovered and validated.
3Productivity
If electronic documents with metadata are used, then tracking efficiency is improved, but document complexity increases
Solution Approach 1:
The patent segments document information into two distinct parts: the scanned image content and the metadata associated with machine-readable codes. This segmentation allows the system to handle complex tracking requirements through structured metadata while keeping the actual document content simple and viewable, thereby improving tracking efficiency without overwhelming users with complexity.
Solution Approach 2:
The patent extracts essential tracking information from documents and stores it separately as metadata linked to machine-readable codes. This extraction process removes complex tracking data from the visible document structure, allowing users to view simple document images while the system maintains comprehensive tracking capabilities through the separated metadata layer.
Data Source
AI summary
A method and a system for managing and sharing pharmaceutical clinical trial regulatory documents are described. A computer-implemented method includes receiving an electronic document. The electronic document includes one or more scanned images of a physical document, and the one or more scanned images include one or more optical machine-readable codes. The method also includes storing in the electronic document at least a subset of document information associated with the one or more optical machine-readable codes as metadata.