Automated Medical Exam Routing via Image Classification
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Solution Overview
Problem
The increasing volume of radiology exams in hospitals and imaging centers exceeds the capacity of available radiologists, leading to delayed treatment and potential misdiagnosis due to the lack of efficient prioritization and routing systems that consider criticality and specialty requirements.
Innovation Solution
A method for automatic prioritization and routing of medical exams based on image classification, using a system that captures images, classifies them, and routes them to appropriate medical practitioners based on severity and specialty, with a computer-readable storage medium containing instructions for capturing, classifying, and routing images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the volume of radiology exams is increased to meet growing demand, then the capacity to serve more patients is improved, but the ability to maintain diagnostic quality and timely routing deteriorates due to insufficient radiologist resources
Solution Approach 1:
The patent introduces an automated routing system with image classification algorithms and priority assignment mechanisms as intermediaries between radiologists and exams. The system automatically analyzes image metadata, applies classification rules, and assigns priority levels without requiring radiologist intervention for each exam, thereby scaling productivity while preserving diagnostic quality through consistent, rule-based routing
Solution Approach 2:
The system enables self-service routing where exams automatically route themselves to appropriate radiologists based on their specialty, availability, and the exam's classified priority level. The automated worklist management system allows exams to be independently processed and distributed without manual radiologist involvement in the routing decision-making process
2Reliability
If manual review of all images by radiologists is performed to ensure accurate routing, then routing accuracy is improved, but the time required for exam processing and the workload on radiologists increases significantly
Solution Approach 1:
The system performs preliminary automated classification and priority assignment of exams before they reach radiologists. Image metadata is analyzed in advance, classification rules are applied, and routing decisions are pre-determined based on the classified priority level and radiologist availability, eliminating the need for time-consuming manual review while maintaining routing accuracy
Solution Approach 2:
The patent replaces the mechanical system of manual radiologist review with an automated electronic classification and routing system. The system uses computer-based image analysis, rule-based classification algorithms, and automated worklist management to substitute human manual review processes, dramatically reducing processing time while maintaining or improving routing accuracy through consistent application of classification criteria
Data Source
AI summary
Certain embodiments of the present invention provide a method for automatic prioritization and routing of exams for patients in a medical center based on image classification. The method includes capturing an image and digitizing it, automatically classifying the image based on its content, prioritizing the image based on its classification, and routing the image based on its prioritization and classification to the appropriate medical practitioner.