Cloud Medical Image Processing System with User Interaction Tracking
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Solution Overview
Problem
Current medical image processing systems, particularly workstation-based and client-server-based systems, face limitations such as high costs, complex installations, limited scalability, and restricted accessibility due to hardware and software requirements, which hinder efficient collaboration and processing of medical images across multiple users and locations.
Innovation Solution
A cloud-based medical image processing system that utilizes a cloud server to provide advanced image processing services, allowing multiple users to access and process medical images collaboratively, with features like data gateway management, image preprocessing, and access control, enabling secure and efficient image sharing and analysis across various medical institutions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If workstation-based advanced image processing systems are used, then image processing capability is improved, but hardware cost and installation complexity increase
Solution Approach 1:
The patent introduces a server as an intermediary that hosts the advanced image processing software and tools. Instead of installing complex workstations at each location, users access the processing capabilities through a network connection to the server, which acts as a mediator between users and the processing power.
Solution Approach 2:
The patent creates a virtual copy of the workstation environment through a web-based interface. Users can access advanced image processing tools through a browser without physically being at the workstation location, effectively copying the functionality to multiple access points.
2Productivity
If workstation-based systems are used, then image processing capability is improved, but accessibility and remote usage are restricted
Solution Approach 1:
The patent makes the image processing system universal by enabling access from multiple devices and locations. The same processing tools can be accessed via web browser from different computers, tablets, or mobile devices, making the system multi-functional across various platforms and locations.
Solution Approach 2:
The web server acts as an intermediary that enables remote access to the image processing system. Users can connect to the server through standard web protocols from any location, eliminating the need to be physically present at the workstation.
3Ease of operation
If client-server-based systems are used, then remote access is improved, but hardware and software installation requirements remain
Solution Approach 1:
The patent copies the functionality to the client's web browser through web-based tools. Instead of installing heavy software on client machines, the processing capabilities are delivered through the browser interface, significantly reducing client-side installation requirements.
Solution Approach 2:
The patent extracts the complex installation requirements from the client side and concentrates them on the server side. The server handles all the heavy lifting of software installation and configuration, while clients only need a web browser to access the tools.
4Adaptability or versatility
If multiple users are supported, then collaboration is improved, but system cost and complexity increase
Solution Approach 1:
The patent merges multiple user access points into a single centralized server system. Instead of maintaining separate workstations for each user, multiple users connect to the same server through web browsers, combining resources and reducing overall system complexity.
Data Source
AI summary
A cloud server receives a request for accessing medical image data from a client device, where the cloud server provides image processing services to users in image processing steps, resulting in image views. User privileges of a user are determined for accessing the medical image data. In response to receiving a command having a selection of an image view from the client device, the cloud server provides the medical image data based on the selected one or more image views. The user interactions of the user with the medical image data via the selected image views are tracked, including tracking how long in time the user takes to complete a particular medical image processing step. An analysis is performed on the tracked user interactions to determine an overall usage trend of the image views.