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Development of Scalable Healthcare Data Integration and Terminology Harmonization Platform

firstlinesoftware.com

Medical

Education

Information technology

Challenges in Healthcare Data Standardization

Need to manage and analyze massive volumes of heterogeneous healthcare data from 72+ medical dictionaries and global sources while maintaining cross-referenced connections between millions of medical concepts for research and clinical applications

About the Client

Leading Ivy League research university expanding its global healthcare data analytics capabilities through international collaboration

Core Project Goals

Create unified knowledge warehouse for global healthcare data standardization
Automate terminology harmonization across evolving medical dictionaries
Enable cross-referencing between clinical records and reference materials
Support pharmaceutical research and insurance risk assessment through structured data analysis
Ensure scalability for handling millions of medical concept relationships

System Capabilities

Automated dictionary version control and cross-reference maintenance (Vocabularyv5.0)
Clinical data ingestion pipeline with OMOP CDM integration
Terminology harmonization dashboard (ATHENA module)
Collaborative editing interface for medical experts
Anonymized case record submission portal for hospitals

Technology Stack

Java

Spring Framework

Bootstrap

Marionette JS

Oracle PL/SQL

System Integrations

OMOP Common Data Model
Global medical dictionary repositories
Clinical data warehouses

Operational Requirements

Horizontal scalability for big data processing
Real-time terminology update propagation
HIPAA-compliant data security
High-availability architecture
Multi-language support for international users

Expected Business Outcomes

Enables global healthcare stakeholders to access standardized medical data for research, accelerates pharmaceutical drug development through structured analytics, improves insurance risk modeling accuracy, and establishes a collaborative framework for international medical knowledge sharing