Ship · Saama
Centralized patient/site data for faster insights ("More Data, More Insights, More Progress"
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.
Source
Published by Saama on its own site — read the original case study on saama.com ↗
More like this
Related use cases
- 01Agentic transformation bridging data governance and care delivery
- 02Centralized data across 40+ systems via Data Hub; 35% faster time to data discovery
- 03Smart Data Quality saved 20,000+ data-manager hours, reconciled 105M data points in 4 months
- 04Source-to-Submission (S2S) cut SDTM mapping time 25%, 70% auto-mapping accuracy
- 05Transforming content operations for 2x faster time to market
- 06Compliant conversational AI (chat) for improved accessibility