Dynamic PACS Workflow Engine for Radiology Automation
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Solution Overview
Problem
Current Picture Archiving and Communication Systems (PACS) require radiologists to spend significant time manually selecting and applying repetitive image processing steps, which hampers productivity and efficiency, as they lack the ability to dynamically modify default workflows based on frequently used processing functions.
Innovation Solution
A system that includes a workflow engine capable of dynamically modifying default image processing workflows by tracking and incorporating user-selected processing steps, allowing for automatic application of frequently used functions, thereby reducing manual intervention and enhancing productivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual selection and application of image processing steps is used, then flexibility and precision in image processing are improved, but time consumption and productivity are worsened
Solution Approach 1:
The system automatically monitors user selections and modifies workflows without requiring manual intervention. The workflow engine self-updates by incorporating frequently selected processing steps into default workflows, eliminating the need for radiologists to repeatedly manually configure the same processing parameters.
Solution Approach 2:
The system tracks and monitors user selections of image processing steps, using this feedback to automatically modify and update default workflows. This closed-loop feedback mechanism learns from user behavior and continuously improves the default workflow configuration based on actual usage patterns.
2Ease of manufacture
If default image processing workflows are statically configured, then system simplicity and ease of implementation are improved, but adaptability and responsiveness to user preferences are worsened
Solution Approach 1:
The workflow system transitions from static to dynamic configuration. Default workflows are no longer fixed but automatically adapt based on monitored user selections. The system dynamically modifies workflow parameters and incorporates frequently used processing steps, allowing continuous evolution of workflow configurations.
Solution Approach 2:
The workflow engine automatically monitors user selections and performs self-modification by updating default workflows with frequently selected processing steps. This self-service capability eliminates the need for manual workflow reconfiguration while maintaining adaptability to user preferences.
3Reliability
If repetitive manual processing steps are required, then processing thoroughness and diagnostic accuracy are improved, but radiologist productivity and efficiency are worsened
Solution Approach 1:
The system automatically identifies and incorporates frequently selected processing steps into default workflows, eliminating repetitive manual operations. This maintains diagnostic thoroughness by preserving essential processing steps while automating their application, allowing radiologists to focus on diagnostic interpretation rather than repetitive configuration tasks.
Solution Approach 2:
The system performs preliminary configuration by pre-incorporating frequently used processing steps into updated default workflows. This preliminary action eliminates the need for radiologists to repeatedly manually configure the same processing parameters, as the system has already prepared optimized workflow configurations based on aggregated user selections.
Data Source
AI summary
The present invention provides a computer-readable storage medium including a set of instructions for a computer. The instructions include an access routine, a tracking routine, and a modifying routine. The access routine is configured to communicate a default image processing workflow between a network server and a display workstation. The default image processing workflow includes at least one default image processing step for preparing at least one image for presentation to a user. The tracking routine is configured to monitor a selection of at least one additional image processing step to be applied to the image. The modifying routine is configured to modify the default workflow to alter the default workflow and/or add the at least one additional image processing step to the default image processing workflow.