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Ship · Saama

Source-to-Submission (S2S) cut SDTM mapping time 25%, 70% auto-mapping accuracy

Unnamed top-10 pharmaShipSaamaSource-to-Submission

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 ↗

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