Medical Imaging Gateway Edge for Secure Cloud Data Orchestration
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Solution Overview
Problem
Current medical imaging gateway management is cumbersome, requiring significant IT resources and is challenging to deploy and integrate, with limited interoperability between health systems and cloud environments, hindering the efficient transfer of medical imaging data.
Innovation Solution
A cloud IoT-based framework with a medical imaging gateway deployed within a health system firewall, executing containerized code for processing medical image data, and a cloud platform with a container registry, utilizing secured messaging protocols and a flexible data-driven gateway edge system for seamless data transfer and processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional medical imaging gateway is deployed, then data transfer between health system and cloud is enabled, but deployment complexity and IT resource requirements increase significantly
Solution Approach 1:
The gateway system performs self-deployment and self-configuration automatically. The containerized gateway pulls required components from the container registry and configures itself to establish data transfer connections between the health system and cloud platform without requiring manual IT intervention or complex deployment procedures.
Solution Approach 2:
The patent replaces traditional manual gateway deployment mechanisms with automated container-based deployment. Instead of requiring IT personnel to manually configure and integrate gateway components, the system uses container orchestration to automatically deploy, configure, and manage gateway instances, substituting mechanical deployment processes with automated software-based mechanisms.
2Adaptability or versatility
If multiple medical imaging gateways are deployed across health systems, then data transfer coverage is improved, but IT management resources and operational burden increase
Solution Approach 1:
The gateway is designed as a universal, multi-functional containerized application that can be deployed across multiple health systems with consistent behavior. The containerized architecture allows the same gateway image to serve multiple functions and locations, providing standardized data transfer capabilities across diverse environments without requiring system-specific customization or additional management overhead.
Solution Approach 2:
The gateway system implements automated monitoring and management feedback mechanisms that enable centralized control of distributed gateways. The system continuously monitors gateway status, performance, and security across multiple deployments, automatically adjusting and managing gateways based on feedback from the cloud platform, thereby reducing manual IT management effort while maintaining broad data transfer coverage.
3Adaptability or versatility
If new functionality is added to medical imaging gateway, then data processing capabilities are enhanced, but deployment difficulty and integration time increase
Solution Approach 1:
The gateway functionality is segmented into separate, independently deployable containerized components. Each data processing capability is packaged as a distinct container module that can be added, removed, or updated independently. This segmentation allows new functionality to be deployed by simply adding new container modules without requiring reconfiguration or redeployment of the entire gateway system, thereby reducing deployment time while enhancing processing capabilities.
Solution Approach 2:
The gateway system implements dynamic functionality through container orchestration, allowing capabilities to be added or removed at runtime without system downtime or complex integration procedures. The containerized architecture enables the gateway to dynamically adapt its data processing capabilities by pulling new container images from the registry or spawning new container instances, facilitating rapid functionality updates without lengthy deployment cycles.
Data Source
AI summary
The present disclosure provides a gateway edge system. The gateway edge system comprise a data orchestration engine comprising a plurality of modules configured to receive and process data according to a workflow and dynamically route the processed data to one or more entities that are in communication with the gateway edge system, the gateway edge system is configured to be deployed within a firewall of the healthcare system, and the plurality of modules comprises an ingestion and normalization module configured to: receive input data from a plurality of electronic data sources located within the healthcare system, wherein the plurality of electronic data sources comprises at least two different sources and wherein the at least two different sources comprise an EHR, a radiology electronic clinical data system, PACS, radiation dose data, a billing system or a claim system and normalize the input data by mapping to a standardized data model.