Case Study: Novo Nordisk reduces Clinical Study Report creation from 12 weeks to 10 minutes with MongoDB Atlas

Novo Nordisk cuts Clinical Study Report creation from 12 weeks to 10 minutes with MongoDB

Novo Nordisk faced a significant challenge in creating Clinical Study Reports (CSRs), a manual process requiring a multidisciplinary team and taking approximately 12 weeks to complete, which delayed time-to-market for new pharmaceutical treatments. Seeking to accelerate this, they turned to MongoDB and its MongoDB Atlas platform, including Atlas Vector Search.

The solution involved building an AI-powered platform called NovoScribe using MongoDB Atlas Vector Search alongside Amazon Bedrock and LangChain. This generative AI application automated the CSR creation process. The result was a dramatic reduction in report generation time from 12 weeks to just 10 minutes, enabling faster regulatory submissions and potential revenue gains estimated at $15 million per day for each day a medicine reaches market sooner, all while improving output quality and resource efficiency.

Novo Nordisk