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Development of Enhanced Health Equity Analytics Platform
  1. case
  2. Development of Enhanced Health Equity Analytics Platform

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Development of Enhanced Health Equity Analytics Platform

appsilon.com
Medical
Non-profit
Information technology

Challenges in Addressing Health Disparities

Existing tools lacked customization and cost-effectiveness for analyzing health equity, with limitations in integrating clinical data with social/environmental determinants. Proprietary software solutions created accessibility barriers for partner organizations.

About the Client

Academic medical center focused on advancing health equity through innovative research and clinical care

Strategic Goals for Health Equity Research

  • Create open-source platform for democratized health equity analysis
  • Integrate clinical, demographic, and environmental data sources
  • Implement advanced analytics with machine learning capabilities
  • Develop intuitive interface for cross-functional teams
  • Support geospatial analysis with Zip5/FIPS code compatibility

Core System Capabilities

  • Interactive data visualization dashboards
  • Logistic regression modeling tools
  • Geospatial mapping with multiple granularity levels
  • Customizable filtering across demographic variables
  • Machine learning module for predictive analytics
  • Secure data sharing capabilities

Technology Stack Requirements

R Shiny framework
Shinyproxy deployment
OMOP Common Data Model
Linux server infrastructure
Geospatial data processing tools

System Integration Needs

  • Electronic health record (EHR) systems
  • Public health databases
  • Geographic information systems (GIS)
  • Identity management solutions

Operational Requirements

  • HIPAA-compliant data security
  • High-performance data processing
  • Scalable cloud architecture
  • Cross-browser compatibility
  • Disaster recovery capabilities

Expected Outcomes

Enables comprehensive health equity research through integrated data analysis, reduces barriers to access for partner organizations, improves identification of at-risk populations, and supports evidence-based policy development through advanced analytics capabilities.

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