ApoGI
An AI-driven platform for automating metadata management and artifact generation in clinical studies.
Overview
ApoGI™ is an integrated platform designed to automate and manage metadata processes in clinical studies using AI and machine learning. It focuses on ensuring consistency and streamlining repetitive tasks, allowing experts to concentrate on scientific insights from clinical trial data.
Key Features:
- Next-generation enterprise platform with data integration from multiple sources.
- Real-time data anonymization for secure sharing.
- Automated workflows for governance, artifact generation, and approvals.
- Data visualization module for analyzing clinical metadata through charts, graphs, and maps.
- Structured governance framework for tracking metadata across hierarchical levels.
- Impact analysis and traceability tools.
The platform includes modules such as ADMIN, Metadata Repository (MDR), Study Build, Data Transformation, and TLF Shell Generator. The ADMIN module offers configuration settings, user management, and compliance reporting. The MDR module supports importing and managing metadata, with a governance model for impact assessment.
Study Design Extractor: Extracts protocol information to reduce study build timelines.
Study Build: Manages study-level metadata, supports global metadata governance, and facilitates data collection to reporting.
Data Transformation: Simplifies data conversions with automapping and machine learning to expedite submission timelines.
TLF Shell Generator: Facilitates the creation of tables, listings, and figures, supporting various formats for import and export.
ApoGI™ provides a comprehensive solution for metadata management, reducing system hops and ensuring traceability. It is equipped with AI-enabled automation and offers plug-and-play modules to meet industry requirements. The platform enhances metadata value and supports additional artifacts and processes.


