Northeast Georgia Health System Uses Data to Speed Up Medical Research
Northeast Georgia Health System partnered with IPC Global to build a scalable, cloud-based analytics and research platform using Qlik®, AWS®, and Vizlib, enabling faster medical research, automated data processing, and reliable insights across millions of patient records.
Case Study Snapshot
Executive overview in under 30 seconds
Organization
Northeast Georgia Health System (NGHS)
ORGANIZATION
Healthcare
Business Model
Non-profit health system and regional medical research provider
PLATFORM
Qlik Sense, AWS Cloud, Vizlib, InProcess Research Platform
TRANSFORMATION YEAR
2025
PARTNER
IPC Global (Advisory & Implementation)
The Challenge
Conflicts between legacy systems, IT-driven tools, and clinician-led research needs
Difficulty integrating large, time-variant healthcare datasets
Manual and time-consuming research preparation processes
Need to support millions of patient records across multiple systems
The Solution
How IPC Global Built a Modern Research & Analytics Platform
Unified Research Data Platform
Integrated multiple clinical and operational data sources into a single analytics environment
Automated Data Processing & Validation
Created repeatable, reliable data pipelines for research modeling and analysis
Self-Service Analytics for Researchers
Provided user-friendly dashboards so clinicians could explore data without IT dependency
Advanced Research Modeling Environment
Enabled rapid hypothesis testing, cohort identification, and outcome validation
Results & Impact
Improved Funding Success
Enabled faster grant qualification through reliable data modeling
Accelerated Research Timeline
Produced peer-reviewed research within one year
Reduced Manual Research Work
Automated multi-step data preparation and validation
Massive Data Processing Capability
Analyzed 36,000+ patients across 40+ million encounters