Interpretation Management Device for Biased Medical Findings

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Solution Overview

Problem

Current medical interpretation systems face challenges in ensuring the quality of double interpretation in medical imaging, particularly in lung cancer screening, as the second interpretation may be biased due to lack of comparison between auto-generated and first interpretation findings, and existing devices are costly and time-consuming to develop for custom workflows.

Innovation Solution

An interpretation management device with a hardware processor that acquires auto-generated and user-created interpretation findings, compares them, and presents the results based on a user-defined workflow, allowing for customizable workflow settings to prioritize overlooked images.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If the second interpretation doctor views the auto-generated findings or the first interpretation findings first and then performs the second interpretation, then the interpretation process is efficient, but the second interpretation may be biased and the quality of interpretation cannot be guaranteed

Engineering Contradiction:
Improveinterpretation efficiencyVSAvoidinterpretation quality
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The system performs preliminary comparison between auto-generated findings and first interpretation findings before the second interpretation doctor views them. This preliminary action identifies discrepancies and highlights images that may have been overlooked, allowing the second doctor to perform unbiased interpretation while still benefiting from efficiency improvements.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The interpretation process is segmented into distinct phases: first interpretation, automated comparison with AI findings, and second interpretation. The comparison results are presented separately from the original images, allowing the second interpretation doctor to selectively review only the cases where discrepancies exist, rather than viewing all images sequentially.

Inventive Principle:
Principle #1Segmentation

2Adaptability or versatility

If different medical facilities require different workflows for interpretation, then the system can be customized to specific needs, but it takes cost and time to develop and manufacture each device

Engineering Contradiction:
Improveworkflow customizationVSAvoiddevelopment cost and time
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The interpretation management device is designed as a universal platform that can accommodate multiple workflow types. The system provides pre-configured workflow templates (first workflow, second workflow, third workflow) that cover different interpretation scenarios, allowing facilities to select and configure their desired workflow without requiring custom development.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Solution Approach 2:

The system allows dynamic configuration and switching between different workflows. The workflow selection and configuration can be changed based on facility needs, and the system adapts its behavior accordingly. This dynamic flexibility eliminates the need for manufacturing different devices for different workflows.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS20230162821A1Interpretation management device, recording medium, and interpretation management method
Publication Date: 2023.05.25 KONICA MINOLTA INC
  • US20230162821A1 patent drawing
  • US20230162821A1 patent drawing
  • US20230162821A1 patent drawing

AI summary

An interpretation management device includes a hardware processor. The hardware processor acquires auto-generated findings obtained by computer processing on medical information, acquires first interpretation findings created by a user based on the medical information, acquires second interpretation findings created by a user based on the medical information, compares the auto-generated findings with at least one of the first interpretation findings and the second interpretation findings, presents to a user a result of comparison between the auto-generated findings and the at least one interpretation findings based on a predetermined workflow, and allows the predetermined workflow to be set based on a user operation.