Medical Image Collaboration Server Architecture
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Solution Overview
Problem
Conventional medical image collaboration systems face challenges in providing easy, scalable, and reliable collaboration for medical professionals, medical groups, and healthcare companies, as they struggle to overcome technical and administrative hurdles in sharing and analyzing medical images.
Innovation Solution
A medical image collaboration system that includes a collaboration server which creates and manages medical image cases, populates them with digital images and case numbers, and facilitates analysis information sharing between requesting and consulting systems, enabling efficient collaboration and decision-making.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If conventional systems based upon glass microscope slides or proprietary medical imaging systems are used, then medical image collaboration can be performed, but the system is difficult to scale and lacks reliability for easy collaboration
Solution Approach 1:
The patent uses digital copies of medical images instead of physical glass microscope slides. The system creates digital replicas that can be transmitted and viewed across multiple devices without requiring the original physical specimen, enabling easy collaboration while eliminating the complexity of handling and transporting physical slides.
Solution Approach 2:
The patent replaces mechanical/physical systems (glass slides, proprietary imaging equipment) with digital electronic systems. This substitution enables collaboration through standard computing devices and networks, significantly reducing operational complexity while improving ease of use and scalability.
2Adaptability or versatility
If digital imaging is used for medical image based cases, then collaboration is enabled, but significant technical and administrative challenges remain
Solution Approach 1:
The patent creates a universal platform that can handle multiple types of medical images and collaboration scenarios through a single system. The architecture supports various image formats, multiple user roles, and different collaboration modes (consultation, teaching, research) without requiring separate specialized systems, thereby reducing technical complexity while maintaining versatility.
Solution Approach 2:
The patent introduces a server as an intermediary between users and medical images. This central mediator handles image storage, transmission, access control, and collaboration coordination, simplifying the technical complexity for end users while enabling robust collaboration capabilities.
3Reliability
If medical professionals consult with peers or experts outside their area of expertise, then diagnostic accuracy improves, but the process becomes time-consuming and administratively complex
Solution Approach 1:
The patent implements preliminary actions by pre-organizing expert profiles, areas of expertise, and collaboration workflows in the system. When a consultation is needed, the system can quickly match cases with appropriate experts based on pre-established criteria, eliminating time-consuming manual search and coordination while maintaining high diagnostic accuracy through expert consultation.
Data Source
AI summary
Medical image based collaboration system and methods are provided. A collaboration server 40 creates a medical image based case in response to a request from a requesting system 10 and populates the case with the minimum required information comprising at least a digital medical image and a case number. The collaboration server 40 provides the medical image based case to a consulting system 30 and receives analysis information in response. The collaboration server 40 stores the analysis information in association with the medical image based case and provides the analysis information to the consulting system 30 to complete the medical image based collaboration.