When Every Day Counts
A top-20 pharmaceutical company developing a COVID-19 vaccine needed to accelerate market entry by cutting the time data managers spent reconciling discrepancies in their EDC system. It implemented Saama's Smart Data Quality solution to automate data-management tasks and streamline clinical trial processes. Stated results: saved data managers 20,000+ hours of effort, reconciled 105 million data points in just 4 months, cut the span from data capture to query generation to an average of 1.7 days, and accelerated time to database lock.
The customer is anonymised in Saama’s own case study — not withheld by us.
Saama is an AI platform for clinical data management — automated data-query generation, data-quality scoring and raw-to-SDTM transformation used during live trial conduct.
This sits in the Ship stage of the AI use-case lifecycle: Named examples from the vendors pharma teams use to get an AI system live inside a real, regulated production workflow — validation, CRM, safety and clinical systems of record.
Published by Saama on its own site — read the original case study on saama.com ↗
Related use cases
- 01Agentic Transformation: From Fragmented Systems to Integrated Care Intelligence
- 02More Data, More Insights, More Progress | Saama - #1 in AI Clinical Analytics
- 03One Place for All Data | Saama - #1 in AI Clinical Analytics
- 04Save Time, Improve Quality | Saama - #1 in AI Clinical Analytics
- 05Transforming Content Operations for 2x Faster Time to Market
- 06Astellas: Breaking Access Barriers with Veeva Compliant Chat