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Development of {teal} 1.0 Framework for Clinical Data Exploration and Reporting
  1. case
  2. Development of {teal} 1.0 Framework for Clinical Data Exploration and Reporting

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Development of {teal} 1.0 Framework for Clinical Data Exploration and Reporting

appsilon.com
Medical
Information technology
Business services

Challenges in Open-Source Clinical Data Framework Development

The open-source {teal} framework faces technical debt accumulation, inconsistent contributor expertise, team continuity issues, and complex onboarding processes. These challenges hinder progress toward a stable 1.0 release and CRAN compliance, while the pharmaceutical industry requires standardized, efficient tools for clinical data analysis and reporting.

About the Client

Leading pharmaceutical innovator focused on clinical trial optimization and data-driven drug development

Goals for {teal} 1.0 Release

  • Finalize {teal} framework's 1.0 release with CRAN compliance by Q1 2026
  • Enhance codebase maintainability and modular architecture for clinical workflows
  • Expand framework adoption across 30+ ongoing clinical trials
  • Implement standardized contributor onboarding processes
  • Establish long-term technical governance model

Core System Requirements

  • Interactive data filtering panel for CDISC datasets
  • Prebuilt analysis modules for statistical visualization
  • Automated generation of tables, listings, and graphs (TLGs)
  • Modular dashboard components for Medical Data Review (MDR)
  • Integrated package management system

Technology Stack Requirements

R
Shiny
CI/CD pipelines
DevOps automation
CRAN-compliant R packages

System Integrations

  • CDISC dataset standards
  • Clinical data warehouses
  • Pharmaceutical analytics platforms

Quality Attributes

  • Scalable package architecture
  • Codebase maintainability
  • High-performance data processing
  • Regulatory compliance
  • Cross-team collaboration support

Expected Business Impact of {teal} 1.0 Release

Standardized clinical analysis framework will reduce application development time from months to weeks, enable 50% faster MDR dashboard creation, and save hundreds of annual hours through automated reporting. The 1.0 release will establish {teal} as industry-standard infrastructure, accelerating data-driven decision-making across global clinical trials while fostering open-source pharmaceutical collaboration.

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