Medical Image Report Linking via NLP Feature Matching
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Solution Overview
Problem
Current medical image reporting systems lack an automated means to link medical image reports to corresponding images, leading to manual and error-prone navigation, especially when images are sent to different facilities, and absolute links are broken due to inaccessible image storage systems.
Innovation Solution
The system employs natural language processing (NLP) to extract image features from reports and compare them with features extracted from images, creating selectable data links between the report and images, allowing for automatic insertion of hyperlinks that enable seamless navigation between reports and images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual navigation is used to find images corresponding to report findings, then physicians can access images, but the process takes extended time especially with large numbers of images
Solution Approach 1:
The system performs preliminary action by automatically generating hyperlinks between report entries and corresponding images before the physician views the report. The NLP processing and hyperlink creation occur in advance, so when the physician clicks on a report entry, the corresponding image is immediately accessible without manual navigation through large image sets.
2Reliability
If reading physicians manually add reference numbers or identifiers for images, then links can be created between reports and images, but the process is error-prone and relies on manual input
Solution Approach 1:
The system performs self-service by automatically extracting image identifiers and creating hyperlinks without requiring manual input from the physician. The NLP processing automatically matches report entries with corresponding images based on their identifiers, eliminating manual reference addition and reducing errors.
3Adaptability or versatility
If embedded links use absolute URLs for image viewer compatibility, then links can be created, but the links are broken when images are sent to different facilities
Solution Approach 1:
The system uses an intermediary approach by implementing a hyperlink resolution mechanism that acts as a mediator between the embedded link and the actual image. When a hyperlink is encountered, the system checks if the image is locally available; if not, it provides instructions for obtaining the image. This intermediary layer allows links to function across different facilities without being broken by location changes.
4Adaptability or versatility
If plain text reports are used for compatibility with image viewers, then reports can be delivered via HL7, but the ability to store images in reports and provide direct links is eliminated
Solution Approach 1:
The system merges the functionality of plain text reports with hyperlinked image access by combining the advantages of both formats. The report maintains its plain text structure for compatibility, but automatically embedded hyperlinks are inserted within the text, merging the simplicity of plain text with the interactivity of hyperlinked documents, enabling direct navigation to images without sacrificing compatibility.
Data Source
AI summary
Methods and systems for automatically linking entries in a medical image report to an image of a medical image study. One method includes identifying a first plurality of image features referenced in text included in the medical image report using natural language processing, identifying a second plurality of image features in images included in the medical image study, and comparing the first plurality of image features and the second plurality of image features. In response to a first image feature included in the first plurality of image features and a second image feature included in the second plurality of image features matching, the method includes creating a data link between the medical image report and an image included in the medical image study including the second image feature, and automatically inserting the data link into the medical image report, the data link selectable by a user to display the image.