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Advanced Radiology Imaging and DICOM Data Management Solutions Development

light-it.net

Healthcare

Information technology

Challenges in Radiology Workflow Efficiency and Data Management

Radiology staff faces inefficiencies due to fragmented workflows, manual data handling, and lack of automation. Existing solutions fail to address specialized needs for secure, high-speed processing of large MRI/DICOM datasets while maintaining compliance with healthcare data regulations.

About the Client

A radiology specialty group with 54 board-certified radiologists, providing diagnostic interpretation services and part of a healthcare technology ecosystem focused on MRI imaging solutions. Acquired by Philips in 2019 to scale global radiology support.

Key Goals for Solution Development

Create integrated digital tools for MRI/DICOM processing workflows
Achieve sub-40-second parallel processing of 800+ studies
Implement automated routing with 100+ predefined rules
Ensure HIPAA/GDPR compliance for sensitive medical data
Enable hybrid cloud/on-premise deployment capabilities

Core System Capabilities

MRI image validation interface for technologists
DICOM file processing engine with automated routing
Bidirectional hardware integration for medical devices
Cloud storage connectivity (AWS, Google Healthcare API)
Advanced indexing and search functionality
Data compression achieving >60% reduction

Technology Stack Requirements

Python

Node.js

React

GraphQL

MongoDB

AWS

Docker

Rust

System Integration Needs

MRI machine interfaces
Cloud healthcare APIs
DICOM viewer applications
Hospital PACS systems
Security compliance frameworks

Operational Requirements

99.99% system reliability SLA
Asynchronous processing architecture
End-to-end encryption for data security
Horizontal scalability for Big Data handling
Sub-36-second batch processing performance

Expected Business Outcomes

Implementation will enable processing of 1M+ annual MRI studies with 61.5% data compression efficiency, reduce manual workflow steps by 70%, achieve full regulatory compliance, and support global radiologist network scalability through hybrid cloud infrastructure.