Electronic Medical Image Routing With AI Expert Matching

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Solution Overview

Problem

Existing medical data routing systems often fail to efficiently route data to qualified experts, leading to inefficiencies, delayed diagnoses, and increased misdiagnosis risks, especially for rare conditions.

Innovation Solution

A computer-implemented method and system for automated medical data routing using AI and rule-based configurations to determine appropriate recipients based on medical data and metadata, ensuring data is routed to experts with the necessary expertise.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If glass slides are physically moved to experts, then experts can review them, but significant delays occur and physical movement is required

Engineering Contradiction:

Improvediagnosis accuracyVSAvoiddiagnosis time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent creates digital copies (whole slide images) of physical glass slides, allowing experts to review high-fidelity digital representations without requiring physical transport of the original slides. This copying approach maintains diagnostic accuracy while eliminating delays associated with physical movement.

Inventive Principle:

Principle #26Copying

Solution Approach 2:

The patent replaces the mechanical system of physically moving glass slides with an automated digital routing system that electronically transfers image data. This substitution eliminates the need for manual handling and physical transport, significantly reducing turnaround time while maintaining reliability through automated expert matching.

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Ease of operation

If medical data is routed to non-experts, then routing is simpler, but misdiagnosis risk increases

Engineering Contradiction:

Improverouting simplicityVSAvoiddiagnosis accuracy

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The patent performs preliminary classification of medical data using AI/ML models before routing, automatically identifying cases that require expert review. This preliminary action ensures that only appropriate cases are directed to experts, maintaining routing simplicity while preventing misdiagnosis through intelligent triage.

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The system incorporates feedback mechanisms where AI models learn from expert decisions and outcomes, continuously improving routing accuracy. This feedback loop ensures that routing simplicity is maintained while diagnosis accuracy improves over time through adaptive learning.

Inventive Principle:

Principle #23Feedback

3Reliability

If AI processing is used to route data, then routing accuracy improves, but system complexity increases

Engineering Contradiction:

Improverouting accuracyVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The patent implements a universal AI/ML platform that handles multiple functions including image analysis, routing decisions, and expert matching within a single integrated system. This multi-functionality approach improves routing accuracy while managing complexity by consolidating diverse functions into a unified architecture.

Inventive Principle:

Principle #6Universality (Multi-functionality)

Data Source

PatentUS20250336500A1Systems and methods to process electronic images to provide automated routing of data

Publication Date: 2025.10.30 PAIGE AI INC

AI summary

Systems and methods are disclosed for providing automated routing of medical data, comprising determining at least one rule corresponding to at least one condition and at least one receiver, receiving medical data and associated medical metadata, determining whether the medical data, the associated medical metadata, and/or associated artificial intelligence processing satisfies the at least one condition of the at least one rule, and upon determining that the at least one condition of the at least one rule is satisfied, providing, from an originating institution, the medical data to the at least one receiver.