Case Study: a large pharmaceuticals and diagnostics holding company accelerates clinical trial protocols with Persistent Systems and Google Cloud GenAI

Accelerating Clinical Trial Protocols with Google Cloud and Generative AI

Persistent Systems worked with a large pharmaceuticals and diagnostics holding company, part of one of the world’s leading cancer drug developers and listed among the Fortune 100. The customer’s team of 70 medical writers was manually drafting clinical study protocol documents from multiple sources, and needed a faster, more accurate way to create content for regulatory authorities and ethics committees using Google Cloud and generative AI.

Persistent Systems built the solution on Google Cloud Vertex AI, Google Foundation LLMs, Cloud Run, Vertex Matching Engine, and BigQuery, with its NOVA accelerator to connect multiple source systems and document types. The platform enabled AI-assisted drafting, advanced search, and citation support from sources like WHO and PubMed, and Persistent Systems delivered measurable results: 80% faster protocol composition, 40% better quality, and 60% cost savings.