Agentic Transformation: From Fragmented Systems to Integrated Care Intelligence

Healthcare organizations accumulate 'Data Debt' -- rising costs from data-quality problems and manual workarounds caused by legacy system silos, forcing clinical staff into inefficient 'data hunting.' Saama partnered with a regional health network to build a 'Unified Intelligence Layer' consolidating 50+ legacy silos into a single 'Golden Record,' using Saama's proprietary GenAI 'Smart Mapper' technology for the integration. Outcomes: $2M+ in annual savings from automating high-friction reporting and eliminating redundant third-party data contracts, engineering to substantially reduce claim-to-diagnosis RCM denial rates, legacy cloud migration timelines cut from months to weeks, and achievement of 'Unified Patient Sovereignty' as a reliable single source of truth.

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.