Reinventing Clinical Data Operations with Generative AI

WebbyButter developed and deployed an Intelligent Document Processing (IDP) capability, depth-integrated into the client's existing AWS cloud infrastructure. Driven by custom-tuned Generative AI models, the solution doesn't just 'read' documents—it understands the clinical context. It automatically classifies documents (scans, reports, lab results), extracts key genetic markers and clinical observations, and populates a standardized database with a 4.5x increase in processing speed. The system features a production-ready RAG architecture that allows researchers to query millions of records using natural language. This implementation also included a sophisticated human-in-the-loop (HITL) review interface, ensuring that any high-confidence extractions are automatically processed while lower-confidence items are flagged for clinical review. This hybrid approach maintains the highest standards of data integrity while maximizing the benefits of automation. The platform also includes comprehensive audit trails, ensuring full compliance with healthcare regulations like HIPAA and GDPR.

The deployment of the GenAI-powered IDP capability has fundamentally transformed clinical operations. By automating document processing, the organization reduced human error in data extraction by 99% and decreased document review time from 45 minutes to under 20 seconds per patient file. Administratively, the system has reduced manual entry costs by 90%, allowing clinical staff to focus on high-value research rather than data management. Today, this platform serves as the intelligent data foundation for the company's future ventures into AI-driven drug discovery. The organization has also seen a significant improvement in researcher collaboration, as clinical data is now easily searchable and accessible across global sites. The success of this project has positioned the client as a leader in healthcare AI innovation, paving the way for further digital transformation initiatives across their entire clinical ecosystem.