Virtual Worklist Aggregates Disparate Medical Imaging Systems
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Solution Overview
Problem
The lack of interoperability between disparate hospital information systems (HIS), radiology information systems (RIS), and picture archiving and communication systems (PACS) in healthcare environments hinders efficient workflow management and diagnostic image analysis, leading to inefficiencies and increased costs due to the need for manual data retrieval and physical travel by specialists.
Innovation Solution
The development of a system that compiles and routes diagnostic imaging studies across multiple HIS, RIS, and PACS systems into a unified Master Worklist, allowing specialists to access all necessary data from a single workstation, using standardized formats like DICOM, HL7, and XML, and implementing workflow routing rules to optimize workload distribution and data exchange.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If multiple HIS/RIS/PACS systems are used to store and manage diagnostic images and patient records, then data storage capacity and system specialization are improved, but interoperability and ease of access are worsened
Solution Approach 1:
The patent introduces a virtual worklist system as an intermediary layer between multiple HIS/RIS/PACS systems and diagnostic specialists. This virtual worklist aggregates data from diverse sources using standardized interfaces (DICOM, HL7, IHE) without requiring direct connectivity between all systems, thereby maintaining data storage specialization while enabling unified access.
Solution Approach 2:
The virtual worklist system provides universal access to diagnostic images and patient records across multiple specialized systems. A single workstation can access data from any connected HIS/RIS/PACS system through standardized protocols, making the access mechanism multi-functional and system-agnostic.
2Device complexity
If manual data retrieval and physical travel by specialists are required, then system simplicity is maintained, but productivity and time efficiency are worsened
Solution Approach 1:
The system enables self-service by automatically compiling and routing diagnostic studies to the appropriate specialists through the virtual worklist. Studies are automatically distributed based on routing rules without requiring manual intervention from specialists to locate or retrieve cases, thereby increasing productivity while maintaining reasonable system complexity.
Solution Approach 2:
The virtual worklist performs preliminary actions by pre-compiling and organizing diagnostic studies before they reach the specialist. Studies are automatically routed and prepared in advance based on predefined criteria, eliminating the need for specialists to manually search for cases and improving diagnostic throughput.
3Productivity
If automated workflow routing and compilation are implemented, then productivity and time efficiency are improved, but device complexity and interoperability requirements are worsened
Solution Approach 1:
The system manages complexity by changing parameters at the data level rather than the system level. It uses standardized data formats (DICOM, HL7, IHE) and configurable routing parameters to automate workflow, allowing productivity improvement without requiring complex point-to-point integrations between systems.
Solution Approach 2:
The virtual worklist system segments the integration task into manageable components: data acquisition from multiple sources using standardized interfaces, virtual compilation in a centralized workspace, and automated routing based on configurable rules. This segmentation reduces overall system integration complexity while maintaining high productivity.
4Reliability
If specialists must log on to multiple HIS/RIS/PACS systems, then system autonomy is preserved, but ease of operation and time consumption are worsened
Solution Approach 1:
The virtual worklist acts as an intermediary that preserves the autonomy of individual HIS/RIS/PACS systems while eliminating the need for specialists to log on to multiple systems. The intermediary aggregates data from autonomous sources and presents a unified interface, reducing time consumption without compromising system independence.
Data Source
AI summary
Methods and systems for automating and managing efficient workflow for the viewing and analysis of diagnostic images within a healthcare enterprise network generate virtual worklists listing of healthcare data orders allocated to a specific destination. The methods and systems can provide flexible worklist viewing, system administration, and maximized diagnostic throughput.