Snip-triggered Digital Image Report Generation for Breast Imaging
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Solution Overview
Problem
Current image review workstations for breast imaging face challenges such as image inconsistencies leading to inaccurate diagnoses, disruptive workflow interruptions, and inefficiencies in capturing and reporting metadata, user-generated inputs, and system-generated data, which hinder effective troubleshooting and reporting.
Innovation Solution
A computerized image analysis system that automatically generates digital reports by selecting a portion of an image using a snipping application, incorporating user annotations, metadata, and system-generated data, reducing manual entry and workflow disruptions, and allowing for real-time, in-flow data capture and efficient reporting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If radiologists manually record notes and observations during image review, then workflow interruptions occur, but comprehensive documentation of findings is achieved
Solution Approach 1:
The system automatically captures and records radiologist interactions with images, including notes, measurements, and observations, without requiring manual intervention. The workstation self-services the documentation function by automatically preserving workflow context and findings in the digital image report.
Solution Approach 2:
The patent replaces the mechanical process of manual note-taking and documentation with an automated digital system that captures interactions, measurements, and observations electronically. This substitution eliminates the need for radiologists to manually record information while maintaining comprehensive documentation.
2Reliability
If engineers review multiple images to troubleshoot hardware and software bugs, then diagnostic accuracy is improved, but time consumption increases
Solution Approach 1:
The system automatically captures and preserves the state of images, interactions, and system configuration at the moment of bug occurrence. This preliminary action of automatic capture allows engineers to review recorded data without re-consuming time during troubleshooting, as the investigative work is already documented.
Solution Approach 2:
The patent creates digital copies of image data, interaction logs, and system states for troubleshooting. These copies preserve the complete context of bug occurrences, allowing engineers to review multiple images and interactions without the time cost of reproducing or re-examining the original workflow.
3Measurement precision
If radiologists focus in and out on particular portions of images, then diagnostic assessment is improved, but workflow disruption increases
Solution Approach 1:
The system provides automatic feedback by capturing and preserving the radiologist's focus areas, measurements, and observations within the digital image report. This feedback mechanism ensures that the workflow actions are automatically recorded without disrupting the continuous process of image review and assessment.
Solution Approach 2:
The patent maintains workflow continuity by automatically capturing interactions in real-time without requiring interruptions. The system continues to record measurements, notes, and image selections as the radiologist works through images, eliminating workflow disruption while preserving diagnostic precision.
4Measurement precision
If manual entry of metadata and system data is required, then data accuracy is maintained, but reporting efficiency decreases
Solution Approach 1:
The system automatically captures and populates metadata, patient information, study data, series information, and system-generated data in the digital image report without requiring manual entry. The workstation self-services the reporting function by automatically assembling accurate data from multiple sources.
Solution Approach 2:
The patent merges multiple data sources including patient metadata, study information, series data, image information, and system-generated kinetics and CAD data into a single integrated digital image report. This combining of data sources maintains accuracy while eliminating the time-consuming manual entry process.
Data Source
AI summary
Breast image analysis systems and computer-implemented method for snip-triggered digital image report generation. An image review workstation of breast image analysis system presents an interactive user interface including a currently displayed image to a user through a display. Image review station receives user input selecting a snipping application of interactive user interface and activating a snipping application. A portion of currently displayed image is selected by execution of snipping application, and in response, image review workstation accesses a data store of acquired image files, identifies an acquired image file associated with currently displayed image, and generates a digital image report comprising the selected portion of the currently displayed image and selected metadata of the identified acquired image file and may also include user annotations such as spoken remarks and measurements and system generated data.