Medical Image Processing Device Usage Tracking
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In usage-based billing calculation processing systems for cloud services, users incur costs for unused image processing results, leading to high workload in optimizing execution conditions, as existing systems lack efficient methods to track and utilize usage status for automatic image processing.
Innovation Solution
A medical image processing device and system that collects and displays usage information for automatically executed image processing, allowing users to determine whether to set image processing as automatic execution based on presented usage status, and proposes optimal execution conditions considering external factors like seasonality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If image processing is automatically executed based on image information, then processing efficiency is improved, but users incur costs for unused processing results
Solution Approach 1:
The system implements feedback by tracking and storing usage information for each automatic image processing execution. The usage determination unit determines whether each processing result was actually used by the user, and this usage information is stored and used to adjust future automatic execution decisions. This feedback mechanism allows the system to learn from past performance and optimize resource allocation, executing automatic processing only when likely to be useful, thereby improving efficiency while reducing wasted billing costs.
Solution Approach 2:
The system changes the parameter of automatic execution by dynamically adjusting execution conditions based on usage patterns. The system modifies whether automatic execution is enabled for specific processing types based on historical usage data, effectively changing the execution parameter from a static setting to a dynamic one that adapts to actual user needs, thus optimizing the balance between processing efficiency and cost control.
2Loss of energy
If execution conditions are set to prevent unused processing, then billing cost is reduced, but user workload increases due to need to scrutinize enormous data set
Solution Approach 1:
The system implements self-service by automatically analyzing usage patterns and determining optimal execution conditions without requiring user intervention. The usage determination unit and execution condition determination unit work autonomously to process usage information, identify trends, and adjust automatic execution settings. This self-service capability eliminates the need for users to manually scrutinize enormous datasets, thereby reducing user workload while maintaining cost optimization.
Solution Approach 2:
The system replaces the mechanical approach of manual data analysis with an automated computational system. Instead of users manually examining usage data to set execution conditions, the system uses automated units to process usage information, determine usage patterns, and adjust execution conditions programmatically. This substitution of manual mechanical work with automated computational processes significantly reduces user workload while achieving the same cost optimization goal.
3Productivity
If automatic execution is enabled for all processing, then processing efficiency is improved, but device complexity increases due to need to track and manage usage information
Solution Approach 1:
The system achieves universality by designing multi-functional units that perform multiple tasks. The usage determination unit not only tracks usage but also stores usage information and generates data for analysis. The execution condition determination unit both analyzes usage patterns and adjusts execution settings. This multi-functionality reduces the need for separate dedicated components, thereby managing device complexity while maintaining the ability to track and manage usage information for improved processing efficiency.
Data Source
AI summary
An object is to provide a medical image processing device, a medical image processing system, a medical image processing method, and a program for presenting a usage status of image processing that is settable for automatic execution. At least one processor and at least one memory storing a command to be executed by the at least one processor are provided. The at least one processor is configured to: collect usage information by a user for a result of first image processing, which is for assisting in diagnosis of a medical image and which is settable as automatic execution image processing to be automatically executed on the input medical image, and accompanying information on the medical image which is a target of the first image processing; and display the usage information and the accompanying information in association with each other on a display.