AI-Based System for Review, Documentation Generation, and Automatic Assistance for CROs

The project aims to have a significant national and international impact on CROs by enhancing operational efficiency, reducing time and errors in document management, and ensuring regulatory compliance. Additionally, it will contribute to environmental sustainability by reducing the carbon footprint associated with manual processes.

Key Innovations

• AI-Powered Document Analysis: Uploading documents in multiple formats, extracting key data, and verifying consistency and compliance.

• Visualization Dashboard: A centralized panel displaying document status and generating compliance alerts.

• Automated Document Generation: Using pre-designed templates and intelligent context to create new documents.

• On-Premise LLM Assistance: Providing answers to FAQs and real-time support with continuous model optimization.

Expected Outcomes

• Faster Document Review: Automation significantly reduces manual document analysis time.

• Consistency & Compliance: Ensures all documents adhere to regulations and protocols.

• Efficient Document Generation: Enables rapid and consistent creation of new documents.

• Expert Automated Assistance: Delivers precise responses and real-time contextual support.

• Operational Efficiency: Saves time in information retrieval and improves decision-making.

• Reduced Carbon Footprint: Minimizes environmental impact through digitalization and process optimization.

Conclusion

The project represents a major step forward in optimizing document management in clinical research. With the support and expertise of Evidenze, the project is well-positioned to make a lasting impact on the industry by improving efficiency, compliance, and sustainability.