Histology Workflow Management System for Automated Image Matching
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Solution Overview
Problem
Current histology workflows in pathology are manual and time-consuming, particularly in urgent cases requiring rapid examination, and lack efficient automation for matching and quality assurance of digital specimen images with physical slides and case records.
Innovation Solution
A histology workflow management system utilizing digital pathology integrated with a workflow server, application services, and digital histology workstations for automated case management, image review, quality assurance checks, and LIS integration, enabling automated matching of digital specimen images to case records through enhanced identification processes like bar-coding and RFID.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual histology workflows are used for processing and examining specimens, then pathologists can perform quality control and verification, but the process becomes time-consuming and inefficient, especially for urgent cases
Solution Approach 1:
The system segments the histology workflow into distinct automated stages: specimen tracking, digital imaging, image-to-case matching, and quality assurance. Each stage is handled by specialized software modules that work independently but coordinate through the workflow server, enabling parallel processing and maintaining quality control while accelerating overall throughput.
Solution Approach 2:
The patent replaces manual mechanical processes with automated digital systems. Physical slide handling and manual matching are substituted by digital image processing and automated recognition algorithms. The workflow management system uses software-based tracking and matching instead of manual record-keeping, dramatically reducing processing time while maintaining or improving quality control through systematic automated checks.
2Productivity
If automated systems are introduced to increase processing speed, then productivity improves, but the system complexity increases and may compromise quality assurance
Solution Approach 1:
The workflow management system is designed as a universal platform that handles multiple functions: specimen tracking, digital imaging coordination, image-to-case matching, quality assurance, and reporting. This multi-functional approach consolidates what would otherwise require separate specialized systems, managing complexity through integration while maintaining high productivity across all workflow stages.
Solution Approach 2:
The workflow server acts as an intermediary layer between various system components (imaging devices, storage systems, user interfaces). It manages data flow and coordination between these components, abstracting the underlying complexity from end users while enabling automated high-speed processing. The intermediary layer standardizes interfaces and protocols, making the complex system manageable and maintainable.
3Adaptability or versatility
If manual matching of digital specimen images to case records is performed, then flexibility and adaptability are maintained, but time is lost and manual errors occur
Solution Approach 1:
The system implements self-service through automated image-to-case matching using recognition algorithms. The software autonomously compares image metadata, barcodes, and RFID tags with case record information, automatically identifying and linking specimens to their corresponding cases without human intervention. This self-serve capability eliminates manual matching time and reduces errors while maintaining flexibility through configurable matching criteria and fallback procedures.
Solution Approach 2:
The system performs preliminary actions by pre-processing and tagging specimens with identification data (barcodes, RFID tags) during the imaging stage, before the matching step occurs. Case records are pre-configured with expected specimen identifiers and characteristics. When matching occurs, the system simply compares pre-prepared data sets, dramatically reducing matching time while maintaining accuracy through pre-validated data structures.
4Device complexity
If traditional histology workflows are used, then equipment and system requirements are minimal, but the lack of integration between systems reduces efficiency and increases manual errors
Solution Approach 1:
The patent merges previously separate systems into an integrated workflow management platform. The imaging system, database management, quality assurance, and reporting functions are combined into a unified system that shares common data structures, authentication, and workflow orchestration. This integration eliminates data silos and manual data transfer between systems, improving efficiency while managing complexity through unified architecture and standardized interfaces.
Data Source
AI summary
Systems, methods, and products are described that provide for a histology workflow management system and associated functions. One aspect provides for accessing one or more digital specimen images; generating one or more patient records and one or more case records; matching the one or more digital specimen images to the one or more case records based on one or more image properties of the one or more digital specimen images; and facilitating one or more image review functions comprising image quality, case matching, tissue block matching, and case completeness functions. Other aspects and embodiments are also described herein.