Case Search Device with Separate Image and Text History Areas
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Solution Overview
Problem
Existing case search technologies in healthcare are inefficient due to the need for repeated searches when varying the region of interest in images and the cumbersome process of performing multiple image searches followed by text searches, which consumes time and effort.
Innovation Solution
A case search device and method that includes a database for storing image and text data, an image acquiring device, an area extracting device, a text data acquiring device, a search device for performing image and text searches, and a search history display device, allowing users to easily reference past search conditions and results, thereby enhancing search efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If multiple image searches are performed with varied ROI for one diagnosing image, then search accuracy can be improved, but search time and operational complexity increase
Solution Approach 1:
The system performs preliminary actions by automatically executing text searches based on diagnosing image data before the user manually performs image searches. The text search results are stored and made available for subsequent reference, eliminating the need to repeat text searches when performing multiple image searches with varied ROI. This preliminary automation reduces redundant operations and search time while maintaining comprehensive search accuracy.
2Measurement precision
If text searches are performed after multiple image searches, then comprehensive case data can be found, but the operation becomes cumbersome and time-consuming
Solution Approach 1:
The system merges text search and image search operations by automatically triggering text searches based on diagnosing image data. Instead of requiring users to separately perform text searches after image searches, the system combines these operations by using the image data to automatically initiate corresponding text searches. The results from both search types are integrated and stored together, allowing users to access comprehensive case data through a unified interface without manual sequential operations.
Solution Approach 2:
The system performs self-service by automatically executing text searches based on the uploaded diagnosing image data without requiring user initiation. The system autonomously extracts relevant text information from the image, performs the search, stores the results, and makes them available for user reference. This automation eliminates the need for users to manually perform text searches after image searches, significantly reducing operational complexity while maintaining comprehensive data retrieval.
3Measurement precision
If past search results are not immediately reflected when ROI varies, then search precision can be maintained, but repeated searches are required increasing time consumption
Solution Approach 1:
The system implements feedback by storing and displaying text search results from previous searches based on diagnosing image data. When users perform image searches with varied ROI, the system references and displays previously stored text search results, allowing users to immediately see relevant case data without repeating searches. This feedback mechanism maintains search precision by using accurate text-based matching while significantly improving productivity by eliminating redundant search operations.
Data Source
AI summary
Image search conditions that are past search conditions are displayed in an image search history area, and text search conditions are displayed in a text search history area. When a user selects a desired image search condition out of the search conditions displayed in the image search history area, and selects a desired text search condition out of the search conditions displayed in the text search history area, case data that matches the selected image search condition and the text search condition is extracted from a database and displayed in a search result display area.