Radiology Desktop Framework for Unified Workflow Management
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Solution Overview
Problem
Current healthcare systems lack an efficient framework for dynamic workflow management and adaptive interface composition, particularly in radiology environments, which hinders effective diagnostic data analysis and comparison.
Innovation Solution
A radiology desktop system with a workload manager and diagnostic hub that integrates worklists with a diagnostic space, enabling dynamic workflow management and adaptive interface composition, allowing radiologists to seamlessly navigate and compare patient data, reducing the need for multiple applications and improving data accessibility.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple separate applications are used for workload management and diagnostic analysis, then functional versatility is maintained, but device complexity and ease of operation deteriorate due to the need to switch between applications
Solution Approach 1:
The patent combines the workload manager and diagnostic hub into a single integrated radiology desktop application. The workload manager handles worklist management and exam scheduling, while the diagnostic hub provides diagnostic analysis tools and patient data access. These previously separate applications are merged into one unified interface, eliminating the need for users to switch between applications and reducing operational complexity while maintaining all necessary functions.
Solution Approach 2:
The radiology desktop application is designed as a universal platform that performs multiple functions: workload management, exam scheduling, diagnostic analysis, patient data retrieval, and comparison tools. This multi-functional design allows a single application to replace multiple specialized applications, improving ease of operation while maintaining comprehensive functionality through modular architecture.
2Ease of operation
If a unified interface is implemented to improve ease of operation, then ease of operation improves, but adaptability deteriorates due to reduced customization options
Solution Approach 1:
The unified radiology desktop interface implements dynamic adaptability through configurable workspaces and customizable display options. Users can adjust the interface to suit their specific workflow needs, such as arranging diagnostic views, worklists, and patient information in preferred configurations. The system dynamically adapts to different user roles and preferences while maintaining a cohesive unified interface, thus preserving both ease of operation and adaptability.
3Productivity
If real-time data updates are implemented to improve diagnostic efficiency, then productivity improves, but loss of information worsens due to potential data overload
Solution Approach 1:
The diagnostic hub segments patient data into organized, hierarchical sections such as exam information, imaging studies, reports, and clinical notes. Real-time updates are delivered in a structured format that divides comprehensive data into manageable segments, allowing radiologists to access specific information categories as needed. This segmentation prevents information overload while maintaining complete data availability and diagnostic efficiency.
Data Source
AI summary
Disclosed and described systems, methods, and apparatus provide diagnostic display and analysis of patient data. An example radiology desktop system includes a workload manager that organizes and displays one or more worklists. The example workload manager retrieves and displays, based on receiving a selection of an active worklist, one or more exams associated with the active worklist. The example system includes a diagnostic hub triggered based on selection of an exam. The example diagnostic hub generates an exam preview panel provides a summary of the selected exam. The example diagnostic hub facilitates comparison, based on selection of a comparison exam via the user interface from a patient library, between the selected exam and the comparison exam via the diagnostic hub. The example diagnostic hub updates a worklist entry for the selected exam based on an analysis resulting from the comparison between the selected exam and the comparison exam.


