Medical Image Priority Judgement via AI Analysis and Clinical Data
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Solution Overview
Problem
Current methods for prioritizing radiologic interpretation of medical images, particularly in emergency situations, often lead to delays due to reliance on doctor interviews for urgency assessment, which can result in non-urgent images being prioritized over truly urgent ones.
Innovation Solution
A priority judgement device and method that acquire analysis results and medical information, including imaging data from different modalities and clinical information, to derive a priority score for medical images, ensuring urgent images are promptly identified and addressed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If priority determination is based on doctor interviews during examination order, then the process can be performed with existing workflows, but urgent images may be delayed and non-urgent images may be prioritized
Solution Approach 1:
The patent replaces the manual mechanical process of doctor interviews with an automated AI-based priority determination system. The AI model automatically analyzes medical images and determines priority without requiring real-time human intervention, thereby eliminating time delays and improving accuracy in identifying urgent cases.
Solution Approach 2:
The system enables self-service priority determination where the AI model independently evaluates medical images and assigns priorities without needing continuous human guidance. The automated system processes images autonomously, making priority determination faster and more reliable than manual methods.
2Productivity
If manual priority assessment is used, then human judgment can be applied, but the process is time-consuming and prone to errors
Solution Approach 1:
The patent substitutes manual human assessment with an automated AI-based system that rapidly analyzes medical images and determines priority. This replacement of mechanical manual processes with automated intelligent systems significantly increases productivity while maintaining or improving accuracy through consistent algorithmic evaluation.
3Measurement precision
If only examination information is used for priority setting, then the system remains simple, but it cannot accurately identify truly urgent cases
Solution Approach 1:
The patent merges multiple types of information including examination information, medical history, patient demographics, and AI analysis results into a comprehensive priority determination system. By combining these diverse data sources, the system achieves precise urgency detection while the integrated processing architecture manages the complexity through unified evaluation frameworks.
Data Source
AI summary
An analysis result acquisition unit acquires an analysis result of a medical image. A medical information acquisition unit acquires medical information different from the medical image. A priority deriving unit derives a priority of the medical image based on the analysis result and the medical information.