Cloud Medical Data Management via Segmented Storage
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Solution Overview
Problem
The complex IT structure in medical facilities, which includes multiple server systems for managing and editing medical data, is costly and difficult to scale, especially for smaller facilities, and transferring these systems to the cloud does not simplify complexity but rather increases it, leading to high costs and maintenance burdens.
Innovation Solution
A cloud-based system with separate memory areas in public cloud storage for different types of medical data, allowing direct Internet access via the REST standard, where computing power is generated locally in user devices, reducing reliance on expensive cloud computing services and enabling flexible scalability and cost regulation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple server systems are used to manage different types of medical data, then data management functionality is improved, but system complexity and acquisition costs increase
Solution Approach 1:
The patent combines multiple separate server systems (HIS, RIS, PACS, AV) into a single cloud-based platform that provides unified data management for all medical data types through a common infrastructure, thereby reducing system complexity while maintaining comprehensive functionality
Solution Approach 2:
The cloud-based system is designed as a universal platform that can manage diverse medical data types (patient data, image data, volume data) through a single multi-functional system, eliminating the need for separate specialized servers for each data type
2Adaptability or versatility
If multiple server systems are deployed, then comprehensive data management is achieved, but acquisition and maintenance costs increase
Solution Approach 1:
By merging multiple server functions into a single cloud-based system, the patent reduces the total number of systems requiring maintenance, thereby lowering ongoing maintenance costs while preserving comprehensive data management capabilities across all medical data types
Solution Approach 2:
The cloud-based platform provides automated data management services that reduce the need for manual intervention and specialized maintenance staff, allowing the system to serve itself with standardized processes that lower operational costs
3Reliability
If traditional server systems are used, then data management is possible, but scalability is limited
Solution Approach 1:
The patent implements a dynamic cloud-based architecture that can automatically adapt its resources based on demand, allowing the system to scale flexibly as data volumes and processing requirements change, unlike static traditional server systems
4Adaptability or versatility
If cloud solutions are implemented, then scalability is improved, but system complexity increases
Solution Approach 1:
The patent introduces a standardized interface layer that mediates between the cloud infrastructure and the medical applications, simplifying the complexity by providing a uniform access method regardless of the underlying cloud system complexity
Data Source
AI summary
The invention relates to a method and to a system for managing and editing data of a medical device (2, 2′). According to the invention, separate memory areas (22-25) in a cloud storage (19) of a public cloud (13) are provided for at least two different types of medical data sets (P, W, C, B). The data sets (P, W, C, B) stored in a particular memory area (22-25) are each held available in such a way that said data sets (P, W, C, B) can be directly accessed from the Internet (16) if a subscription (18, 18) associated with the memory area (22-25) exists. In addition, at least one specifically associated application (31-34, 94, 95) for running on a user device (8, 9, 11, 12) is provided for each memory area (22-25), said application being designed to retrieve and/or display the data sets (P, W, C, B) contained in the associated memory area (22-25).