FHIR and HL7 Ingestion
Normalize EHR and interoperability data into governed FHIR-aligned resources and analytics models.
FHIR R4 mapping
HL7 parsing
C-CDA document support
Validation and exception handling
Create an analytics-ready healthcare data foundation for EHR, claims, labs, wearables, documents, and AI workloads with governance built in from day one.
Data Foundation
The goal is not just storage. We design a usable data product layer that supports reporting, AI, population health, and secure operational workflows.
Normalize EHR and interoperability data into governed FHIR-aligned resources and analytics models.
Map clinical, pharmacy, claims, and operations data into durable data products for teams and models.
Create longitudinal patient timelines across encounters, labs, medications, outreach, and device signals.
Power dashboards for value-based care, chronic care programs, public health, and research cohorts.
Delivery Method
We build the data lake as a governed product, starting with the smallest useful dataset and expanding once quality and access controls are proven.
Inventory EHR, claims, lab, document, wearable, and operational data sources.
Design storage zones, encryption, access policies, cataloging, and retention.
Create FHIR resources, curated marts, dashboards, and model-ready feature sets.
Add lineage, monitoring, audit reports, data quality checks, and access workflows.
We can help you design the first governed healthcare data product and scale it into a production lakehouse.