Life Science — Regulatory Document Extraction Automation Pipeline
FreeThis DAG automates the extraction of regulatory documents from various sources, enhancing compliance and traceability. It ensures quality control and efficient data processing for the life sciences industry.
Overview
The purpose of this DAG is to streamline the extraction of regulatory documents from diverse sources such as ERP systems and document management systems, thereby improving compliance and operational efficiency in the life sciences sector. The architecture incorporates a robust ingestion pipeline that captures documents from multiple origins, ensuring a comprehensive data collection process. Once ingested, the documents undergo a series of processing steps, including normalization, key informatio
The purpose of this DAG is to streamline the extraction of regulatory documents from diverse sources such as ERP systems and document management systems, thereby improving compliance and operational efficiency in the life sciences sector. The architecture incorporates a robust ingestion pipeline that captures documents from multiple origins, ensuring a comprehensive data collection process. Once ingested, the documents undergo a series of processing steps, including normalization, key information extraction, and quality assurance checks. These steps are vital for maintaining data integrity and security, adhering to stringent industry regulations. The processed data is then stored in a centralized data warehouse, facilitating easy access and complete traceability for stakeholders. Monitoring key performance indicators (KPIs) such as successful extraction rates and processing time per document allows for continuous improvement and optimization of the workflow. The business value of this DAG lies in its ability to reduce manual effort, enhance compliance accuracy, and provide timely access to critical regulatory information, ultimately supporting faster decision-making and improved operational outcomes.
Part of the Data & Model Catalog solution for the Life Science industry.
Use cases
- Increased compliance with regulatory standards
- Reduced manual data processing efforts
- Enhanced data accuracy and reliability
- Improved operational efficiency and speed
- Comprehensive traceability for audits and reviews
Technical Specifications
Inputs
- • ERP transaction logs
- • Document management system archives
- • Compliance-related regulatory documents
- • Quality control checklists
- • Audit trails of document changes
Outputs
- • Extracted regulatory information reports
- • Normalized document datasets
- • Quality assurance validation logs
- • Centralized data warehouse entries
- • Performance monitoring dashboards
Processing Steps
- 1. Ingest documents from ERP and management systems
- 2. Normalize document formats for consistency
- 3. Extract key regulatory information from documents
- 4. Perform quality assurance checks on extracted data
- 5. Store processed data in centralized data warehouse
- 6. Generate performance monitoring reports
Additional Information
DAG ID
WK-1428
Last Updated
2025-04-03
Downloads
74