Life Science — Regulatory Document Classification for Efficient Management

Overview

The purpose of this DAG is to streamline the classification of regulatory documents within the life sciences sector, facilitating effective management and compliance. It ingests documents from various formats, including PDFs, Word files, and scanned images, ensuring a comprehensive approach to data acquisition. The ingestion pipeline utilizes Optical Character Recognition (OCR) for scanned documents and direct parsing for structured files, extracting essential metadata such as document type, dat

The purpose of this DAG is to streamline the classification of regulatory documents within the life sciences sector, facilitating effective management and compliance. It ingests documents from various formats, including PDFs, Word files, and scanned images, ensuring a comprehensive approach to data acquisition. The ingestion pipeline utilizes Optical Character Recognition (OCR) for scanned documents and direct parsing for structured files, extracting essential metadata such as document type, date, and relevant keywords. The core processing logic employs advanced natural language processing (NLP) algorithms to analyze the content and classify documents according to predefined taxonomies specific to regulatory requirements. Quality control measures are implemented throughout the process, including validation checks and accuracy assessments, to ensure the reliability of the classifications. The outputs of this DAG include categorized documents stored in a document management system, along with detailed classification reports that highlight the accuracy and efficiency of the process. Key performance indicators (KPIs) for monitoring include classification accuracy rates, processing time per document, and the volume of documents processed. This DAG delivers significant business value by improving compliance with regulatory standards, reducing manual classification efforts, and enabling quick access to critical documents for stakeholders in the life sciences industry.

Part of the Recommendations solution for the Life Science industry.

Use cases

• Enhances compliance with regulatory standards in life sciences
• Reduces manual efforts in document classification processes
• Improves access to critical regulatory documents
• Increases operational efficiency through automation
• Facilitates faster decision-making for stakeholders