NMOSD Symptom Visualization System for Early Recurrence Detection
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Solution Overview
Problem
Patients with neuromyelitis optica spectrum disorder (NMOSD) often fail to adequately inform their doctors about symptoms related to recurrence during medical treatment, leading to concerns for both patients and doctors. There is a need for a digital tool that can provide quantitative and qualitative information about NMOSD-related symptoms to enable early detection of recurrence.
Innovation Solution
An information processing system that acquires disease-related information, including optic nerve disease information, and generates visualization information to be added to a figure representing a part of the human body. This system allows for the generation of display information that includes the visualization information, facilitating communication of patient symptoms to doctors and early detection of recurrence signs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If patients manually report symptoms to doctors during medical treatments, then doctors can obtain some disease information, but patients often fail to adequately inform doctors about recurrence-related symptoms leading to information loss
Solution Approach 1:
The system enables patients to automatically input and report their own symptoms through a user terminal without requiring manual doctor-patient communication. The symptom input section allows patients to self-report disease-related information, which is then automatically transmitted to the server for processing and visualization.
Solution Approach 2:
The system provides visual feedback by generating figures that display disease information in an intuitive visual format. The server generates visualization information based on input data and presents it through a display section, creating a feedback loop that helps patients and doctors understand disease status without requiring extensive verbal communication.
2Loss of time
If doctors rely on patient verbal reports for disease monitoring, then the medical process remains simple, but early detection of recurrence signs is delayed due to inadequate patient reporting
Solution Approach 1:
The system continuously collects and stores symptom data in advance through automatic patient input. By maintaining a database of disease-related information over time, the system is prepared to detect recurrence signs immediately when they appear, eliminating delays associated with manual reporting and enabling timely medical intervention.
Solution Approach 2:
The system replaces the mechanical process of manual doctor-patient communication with an automated information processing system. Data is automatically collected, stored, and analyzed by the server, which generates visual representations of disease status, thereby improving both the speed and reliability of recurrence detection without requiring continuous human interaction.
3Measurement precision
If quantitative and qualitative disease information is collected and processed, then early recurrence detection is enabled, but the system complexity increases
Solution Approach 1:
The system is divided into distinct functional modules: a symptom input section for data collection, a server for data processing and storage, and a display section for visualization. This segmentation allows each component to perform its specific function efficiently, managing system complexity through modular design while maintaining high measurement precision for disease information.
Data Source
AI summary
[Problem] For easily discovering a disease status of NMOSD, and early detecting a recurrence sign from patient input data in the future, it is possible to provide the information processing system for visualizing a disease-related information on an optic nerve disease including a neuromyelitis optica spectrum disorder.[Solution] An information processing system of the present invention, comprises: a disease-related information acquisition part acquires a disease-related information including at least an optic nerve disease-related information of a subject; a visualization information addition part adds a visualization information generated based on the disease-related information including the optic nerve disease-related information to a first figure that representing a shape of at least a part of a human body; and a display information generation part generates a display information including a second figure that the visualization information is added to the first figure.