Medical Image Notification Segmentation for Patient Anxiety Reduction
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Solution Overview
Problem
Existing medical image processing systems fail to provide notification information that is both recognizable by medical professionals for diagnostic purposes and non-anxiety-inducing for patients, while also not hindering examinations, and lack efficient storage of medical images with classification results.
Innovation Solution
A medical image processing apparatus that classifies medical images or regions of interest and generates distinct notification information for display and storage based on classification results, ensuring that display information is only recognizable by professionals and storage information is understandable by others, with the ability to store medical images and notification information in association with each other.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If the classification result is made clearly recognizable to patients, then patient understanding is improved, but patient anxiety increases unnecessarily
Solution Approach 1:
The notification information is segmented into two distinct types: first notification information for display that is recognizable only by medical professionals, and second notification information for storage that is understandable by patients. This segmentation allows the system to provide appropriate information to each group without causing patient anxiety while maintaining professional diagnostic capability.
Solution Approach 2:
Different forms of notification information are provided to different audiences based on their specific needs and understanding. The display form is optimized for professional diagnostic use, while the storage form is optimized for patient understanding, with each form having locally adapted characteristics suitable for its intended recipient.
2Measurement precision
If the notification information is made recognizable only by medical professionals, then diagnostic accuracy is improved, but communication with patients and experts at conferences becomes difficult
Solution Approach 1:
The system segments notification information into professional-oriented display information and patient-oriented storage information. This allows medical professionals to use the detailed classification results for accurate diagnosis while also having access to patient-friendly versions for communication purposes.
Solution Approach 2:
The system creates a copy of the classification result in a different form - the second notification information for storage is a patient-friendly version of the professional classification result. This copying allows the same underlying data to be communicated in multiple appropriate forms.
3Stability of the object's composition
If the same notification information is provided to both physicians and patients, then information consistency is improved, but patient anxiety increases and professional diagnostic utility decreases
Solution Approach 1:
The system segments notification information into two distinct types with different characteristics - first notification information optimized for professional display and second notification information optimized for patient storage and understanding. This segmentation resolves the contradiction by allowing information to be consistent in its underlying data while being inconsistent in its presentation form.
Solution Approach 2:
Different forms of notification information are provided to different audiences based on their specific needs. The display form maintains professional diagnostic utility while the storage form is adapted for patient understanding, with each form having locally optimized characteristics.
Data Source
AI summary
The medical image processing apparatus includes: an image acquiring unit that acquires a medical image; a classification unit that classifies, on the basis of the medical image acquired by the image acquiring unit, the medical image or a region of interest included in the medical image; a notification information generating unit that generates, in accordance with a classification result of the classification, first notification information for display and second notification information for storage, the second notification information differing from the first notification information; and a storage that stores the medical image and the second notification information.