Medical Image Viewing Tracking System with Visual Indicators
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing Radiology Information Systems (RIS) and medical imaging systems lack the capability to track and document whether medical images have been viewed by healthcare workers, making it difficult to verify image review during audits, medical malpractice investigations, or to ensure proper procedure adherence.
Innovation Solution
A system that tracks and documents medical image viewing by associating a visual indicator with images and storing user-specific viewing data, using a repository and processor to monitor image display and usage, providing an audit trail of image importation and viewing characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing RIS systems are used for medical image review, then basic image viewing and report generation are supported, but the capability to track and document image viewing status is missing
Solution Approach 1:
The patent introduces a viewing indicator as an intermediary element that visually marks images which have been reviewed by healthcare workers. This intermediary component bridges the gap between the image database and the reporting system, providing traceability without fundamentally restructuring the existing RIS architecture. The viewing indicator serves as a mediator that tracks image viewing status while maintaining compatibility with current workflows.
Solution Approach 2:
The system creates a copy or representation of the image viewing status through visual indicators that are associated with each image. Rather than requiring complex tracking of every interaction, the system generates a simplified copy of the viewing state (viewed/not viewed) that can be easily displayed and audited. This copying approach provides reliable tracking information without the complexity of comprehensive monitoring.
2Reliability
If manual tracking of image review is implemented, then audit capability is improved, but time consumption and operational burden increase
Solution Approach 1:
The system implements self-service tracking where the viewing indicator is automatically updated based on system-detected viewing events. When an image is displayed on the workstation, the system automatically records this as a viewed image and updates the corresponding visual indicator. This eliminates the need for manual tracking by healthcare workers, as the system serves itself by automatically capturing and documenting viewing status through its existing monitoring capabilities.
Solution Approach 2:
The system provides immediate feedback by updating the viewing indicator status automatically when an image is viewed. This feedback mechanism creates a closed loop where the act of viewing directly triggers the documentation update, eliminating delays and manual intervention. The visual indicator provides real-time feedback to both the user and auditors about the viewing status, streamlining the audit process.
3Reliability
If comprehensive image viewing tracking is implemented, then accountability and diagnostic quality are enhanced, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent applies local quality by implementing tracking functionality at the specific level where it is most needed - the individual image level with visual indicators. Rather than requiring comprehensive system-wide restructuring, the solution focuses on adding localized tracking markers to images. This allows accountability to be enhanced at the point of image review without requiring complex changes to the entire RIS infrastructure, making implementation more manageable.
Solution Approach 2:
The system segments the tracking function into discrete viewing indicators that can be independently applied to each image. This segmentation allows the accountability feature to be implemented as modular components rather than a monolithic complex system. Each viewing indicator is a separate, manageable element that can be added to the existing image database structure, facilitating easier implementation and maintenance while providing comprehensive tracking capability.
Data Source
AI summary
A system identifies, flags and tracks images and series of images previously accessed by a healthcare worker. A system for tracking medical image viewing by a user includes at least one repository storing data representing multiple medical images of a particular patient available for use in preparing a report. A viewing processor tracks whether an individual image of the multiple medical images has been presented on a display device by using predetermined rules in determining whether data representing the individual image has been communicated to the display device for display to a particular user associated with received user identification information. The viewing processor generates a viewed indicator associated with the individual image and the particular user in response to a determination data representing the individual display image has been communicated to the display device for display to the particular user. A documentation processor at least one of, (a) associates data representing the generated viewed indicator with data representing the individual image and (b) stores data, representing the generated viewed indicator and associates the generated viewed indicator with the individual image and the particular user, in a record.