Centralized Medical Image Database Server for Diagnosis Support
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Solution Overview
Problem
Medical institutions face challenges in efficiently managing and retrieving large volumes of medical images, requiring significant storage space and resources, and there is a need for a system that allows easy access to high-quality case images for diagnosis across various diseases and their advanced stages.
Innovation Solution
A diagnosis support system and database server configuration that enables the centralized management of medical images across multiple institutions, allowing for the upload, retrieval, and charging of case images based on usage, facilitating access to relevant images through a network-connected system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If medical images are stored in optical disks at each medical institution, then storage space is reduced, but a large number of optical disks are required and management becomes complex
Solution Approach 1:
The patent merges the storage functions of multiple medical institutions into a single centralized database server. Instead of each institution maintaining separate optical disk storage, all medical image data are consolidated in one location, reducing total storage requirements and eliminating the complexity of managing numerous distributed storage media.
Solution Approach 2:
The patent introduces a database server as an intermediary between medical institutions and storage media. The server manages all medical image data centrally, providing a unified interface for storage and retrieval operations, thereby simplifying management while reducing the physical storage infrastructure needed at individual institutions.
2Reliability
If a large number of case images are stored for reference, then diagnostic accuracy improves, but retrieval efficiency decreases
Solution Approach 1:
The patent implements feedback mechanisms through metadata tagging and classification systems. Case images are pre-categorized with relevant diagnostic information, allowing the system to quickly retrieve appropriate images based on current diagnostic needs. This structured approach enables efficient searching through large datasets without sacrificing diagnostic accuracy.
Solution Approach 2:
The patent segments the large collection of case images into organized categories using metadata and tagging systems. By dividing the vast database into manageable, indexed segments based on disease types, anatomical regions, and diagnostic characteristics, the system enables rapid retrieval while maintaining comprehensive access to all stored images.
3Loss of energy
If medical image data are centralized in a database server, then storage costs are reduced, but network dependency increases
Solution Approach 1:
The patent creates a universal database server that serves multiple medical institutions simultaneously. This multi-functional system consolidates storage resources, reducing overall storage costs while providing centralized access to all participating institutions. The server handles multiple functions including storage, retrieval, and data management for various institutions through a single platform.
Data Source
AI summary
A diagnosis support method capable of promoting upload of a large amount of case image data. This method includes the steps of: transmitting case image data and case region information from a provider to a server in order to register case images; recording the case image data and so on; transmitting the case region information from a requester to the server in order to refer to a case image; retrieving the case image data; transmitting list information of the case images; displaying the list of the case images; identifying a selected case image; retrieving the case image data and incrementing a number of times of use; transmitting the retrieved case image data; displaying the case image; and transferring the amount of money in accordance with the number of times of use of the respective case image data to the account of the provider.