Context-Sensitive Clinical Assessment System for Radiology
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Solution Overview
Problem
Radiologists face a time-consuming process in manually searching for and evaluating relevant information to assess medical imaging studies, as they need to manually query various sources for contextual information to aid in diagnosis, which can be inefficient and labor-intensive.
Innovation Solution
A system and method that automatically extracts image context and patient context from medical imaging studies, generates targeted search queries, and retrieves relevant information from data sources, reducing the need for manual searching by using modules such as image context, patient context, query generation, results filtering, and sorting to provide context-specific results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If radiologists manually query information sources for background information, then they can obtain contextual information to aid assessment, but the process becomes time-consuming
Solution Approach 1:
The system enables self-service by automatically extracting image context from imaging studies and generating search queries without human intervention. The processor autonomously retrieves relevant background information from data sources based on the extracted image context, eliminating the need for radiologists to manually query information sources while ensuring contextual information is obtained.
Solution Approach 2:
The manual mechanical process of querying information sources is replaced by an automated computer-based system. The processor executes instructions to extract image context, generate search queries, and retrieve information automatically, substituting the radiologist's manual information-seeking behavior with an automated computational workflow that reduces time loss.
2Loss of information
If radiologists manually evaluate search results, then they can find relevant information, but the process becomes labor-intensive
Solution Approach 1:
The system performs self-service by automatically evaluating search results against the extracted image context. The processor identifies and retrieves relevant information from the query results without requiring radiologist intervention, thereby maintaining information quality while significantly improving assessment efficiency and reducing labor intensity.
Solution Approach 2:
The system introduces an intermediary automated evaluation process between the search query and the radiologist. The processor acts as a mediator that filters and evaluates search results based on image context, presenting only relevant information to the radiologist. This intermediary step reduces the labor of manual evaluation while ensuring relevant information is identified.
Data Source
AI summary
A non-transitory computer-readable storage medium storing a set of instructions that are executable by a processor, the set of instructions, when executed by the processor, causing the processor to perform operations comprising receiving an imaging study including a medical image of a patient; extracting image context from the imaging study; generating a search query based on the image context; sending the search query to a data source; receiving results of the query from a data source; and providing the results to a user.