Automated Medical Data Relocation System
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Solution Overview
Problem
Hospitals face challenges in automatically and efficiently relocating medical data between datacenters due to the complexity of comparing technical conditions and pricing across different providers, leading to vendor-lock-in and increased costs.
Innovation Solution
A method and device for determining technical conditions and creating a relocation plan to automatically transfer medical data from one storage node to another, considering factors like bandwidth, storage space, processing speed, and costs, allowing for on-the-fly relocation and minimizing technical effort.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual comparison of technical conditions and pricing across multiple datacenter providers is performed, then relocation decisions can be made, but the process becomes time-consuming and expensive
Solution Approach 1:
The system performs automatic self-service by autonomously gathering technical information from datacenter providers, evaluating relocation opportunities, and executing relocation decisions without manual intervention. The automated system monitors technical conditions, compares providers, and manages the entire relocation process, eliminating the need for time-consuming manual comparisons while maintaining adaptability to relocate data when beneficial
Solution Approach 2:
The manual mechanical process of comparing technical conditions and pricing is replaced by an automated electronic system that uses software agents to gather data, analyze technical parameters, and execute relocation decisions. This substitution transforms the labor-intensive manual comparison into an efficient automated electronic evaluation process that continuously monitors and acts on relocation opportunities
2Reliability
If technical information is gathered manually from the Internet, then relocation decisions can be informed, but the effort and costs increase significantly
Solution Approach 1:
An automated intermediary system acts as a mediator between datacenter providers and the hospital's storage management. This intermediary automatically gathers technical information from multiple providers, standardizes the data formats, and presents unified technical conditions for comparison. The intermediary handles the complexity of information gathering from unstructured web sources, transforming it into reliable, standardized technical data without requiring manual effort
Solution Approach 2:
The system creates automated copies of technical information from multiple datacenter providers through web scraping and data replication techniques. Instead of manually visiting multiple websites, the automated system replicates technical condition data from provider websites, stores it in a centralized repository, and enables efficient comparison. This copying approach maintains information accuracy while eliminating manual gathering efforts
3Productivity
If datacenter provider changes are implemented frequently, then better services and lower costs may be realized, but the relocation process becomes technically cumbersome
Solution Approach 1:
The system performs preliminary actions by pre-evaluating multiple datacenter providers and preparing relocation plans before actual data transfer is needed. Technical conditions, pricing, and transfer channel characteristics are assessed in advance, and relocation decisions are pre-approved based on automated evaluations. When relocation becomes necessary, the pre-prepared plans enable rapid execution without complex on-the-spot decision-making
Solution Approach 2:
The relocation system is designed to be dynamic and adaptable, automatically adjusting to changing technical conditions and pricing from different datacenter providers. The system continuously monitors the technical landscape, dynamically evaluates relocation opportunities, and flexibly executes transfers when beneficial. This dynamic approach simplifies frequent provider changes by automating the adaptation process rather than requiring complex manual reconfiguration
Data Source
AI summary
A method for relocating medical data in a computer network having a plurality of storage nodes connected via data transfer channels is provided. Technical conditions for relocating the medical data from a first storage node to a second storage node are determined. A relocation of the medical data is decided based on the technical conditions and a predetermined relocation plan. The medical data is automatically relocated from the first storage node to the second storage node via the transfer channel when a relocation of the medical data is decided.

