Life Science — Automated Compliance Evidence Collection Pipeline

Overview

The purpose of this DAG is to streamline the automated collection of necessary evidence to demonstrate compliance for AI models within the life sciences sector. It integrates data from multiple evidence management systems, ensuring that all relevant compliance documentation is gathered efficiently. The ingestion pipeline begins with the extraction of data from various sources, including regulatory databases, audit logs, and compliance management systems. Each piece of evidence undergoes a series

The purpose of this DAG is to streamline the automated collection of necessary evidence to demonstrate compliance for AI models within the life sciences sector. It integrates data from multiple evidence management systems, ensuring that all relevant compliance documentation is gathered efficiently. The ingestion pipeline begins with the extraction of data from various sources, including regulatory databases, audit logs, and compliance management systems. Each piece of evidence undergoes a series of processing steps, including validation checks, categorization, and aggregation to ensure accuracy and relevance. Quality controls are implemented at each stage, featuring access checks and compliance testing to mitigate the risk of errors. The outputs of this DAG include comprehensive compliance reports, detailed evidence logs, and notifications for stakeholders in case of any discrepancies or failures during the collection process. Key performance indicators (KPIs) monitored throughout the workflow include the total number of pieces of evidence collected and the average time taken for collection. By automating this process, organizations can significantly reduce manual effort, enhance compliance accuracy, and ensure timely reporting, ultimately leading to improved regulatory adherence and operational efficiency.

Part of the Enterprise Search solution for the Life Science industry.

Use cases

• Reduces manual effort in compliance documentation
• Enhances accuracy and reliability of compliance evidence
• Improves operational efficiency through automation
• Facilitates timely compliance reporting to regulatory bodies
• Strengthens adherence to industry regulations and standards