Our Healthcare Data Platform, built on Microsoft Fabric, is a comprehensive cloud-based data warehouse solution specifically designed for the NHS (National Health Service).
Healthcare Specific Key Features
Accelerated Data Migration
Optimized for healthcare environments, the platform ensures rapid data ingestion and processing to support timely clinical decision-making.
NHS Data Models
Adheres to NHS-specific data structures, enabling compatibility with existing NHS reporting frameworks.
KPI Generation
Delivers actionable Key Performance Indicators (KPIs) tailored for healthcare organizations, such as patient wait times and bed occupancy rates.
Integration with EPR Systems
Seamlessly integrates with widely used EPR systems like Cerner, Epic, and Lorenzo, ensuring continuity across clinical and operational workflows.
Data Governance and Security
Ensures compliance with NHS Information Governance (IG) standards, safeguarding sensitive patient data.
VIBE Delivers More Than Just Data Solution
This platform empowers healthcare providers with a powerful and flexible data solution, ensuring better patient care, streamlined operations, and improved decision-making across the NHS.
Comprehensive Data Integration
EPR System Compatibility
ODS Integration
Accelerated Data Migration
Medallion Architecture
Optimized Data Extraction
Advanced ELT Capabilities
Multi-Language Support
Parallel and Sequential Rule Execution
Built-in Data Quality Features
Ensures high-quality data through inbuilt validation and cleansing tools.
Reduces the risk of errors in clinical and non-clinical decision-making.
Cost Efficiency
Minimal Resource Usage
Reduced Implementation Time
Enhanced Performance and Governance
Medallion Architecture
Rule-Based Execution
Improved Interoperability
Clinical and Non-Clinical Data Models
Future-Ready Solution
Microsoft Fabric Platform
Support for Healthcare Innovations
Simplified Maintenance and Support
Self-Documenting ELT
Standardized Architecture
Enhanced Decision-Making
Provides real-time and historical insights into clinical and operational data