Healthcare organizations face a major challenge in turning fragmented, multi-format data into something usable for analytics and AI. This session demonstrates how SAS Health creates an automated pipeline to ingest, normalize, and standardize data—from HL7 and claims formats to FHIR—so it can be used for real-time insights and modeling. You’ll see how this unified data foundation enables downstream use cases like clinical risk modeling, cohort discovery, and operational analytics. The session also highlights how embedded AI and CoPilot capabilities simplify access to healthcare data, allowing users to generate insights faster without deep technical expertise.
Presenter: Robertson Williams, SAS
Watch the recording
