Building healthcare AI without rebuilding your data platform

Healthcare organizations are adopting AI for clinical documentation, diagnostics, patient monitoring, engagement, research, and revenue-cycle operations, but many face barriers from legacy ETL systems that are slow to build, limited to predefined use cases, and unable to provide continuously updated data. Fivetran and phData argue that an AI-ready foundation should use automated ELT, broad source replication, change data capture, schema-change management, encryption, and governance to make structured and unstructured healthcare data available in a common data layer. The approach combines Fivetran’s connectors, including for Epic and other healthcare platforms, with dbt for tested, documented data models and faster incremental transformations, while Fivetran Activations can return trusted data to operational systems such as CRMs and EMRs. The companies emphasize that this architecture can reduce custom engineering and support compliance requirements, citing a biopharma deployment and Inova Health’s reported acceleration of a planned four-year transformation into six months, and invite readers to a September 22 webinar on healthcare data platforms.

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