SAN PEDRO, California — June 29, 2026. Health Samurai, the company behind Aidbox, a FHIR-native platform, today announced a partnership with Databricks, the Data and AI company, to connect clinical interoperability with lakehouse analytics.
Aidbox runs on Databricks Lakebase, Databricks' serverless Postgres database built for AI agents, allowing operational FHIR workloads and analytical workloads to operate within the same Databricks environment. Healthcare organizations can make operational FHIR data available for analytics, reporting, and AI workflows, applications, and agents — all without building custom pipelines between operational and analytical infrastructure.
Healthcare data teams often manage two environments in parallel: a FHIR server for interoperability and clinical workflows, and a warehouse or lakehouse for analytics and AI. Keeping those environments aligned requires ETL, repeated governance work, and reconciliation when data changes.
Aidbox on Databricks addresses that gap by bringing the FHIR system of record and the lakehouse into one architecture.
As healthcare organizations invest in AI and agents, access to governed, standards-based clinical data becomes increasingly important. By combining Aidbox with Lakebase and Unity Catalog, organizations can build interoperability, AI applications, analytics, and agents on a unified data foundation while maintaining centralized governance and control.
What Aidbox adds to Databricks
- Aidbox on Databricks. With Lakebase as the primary operational store, Aidbox keeps FHIR reads, writes, and downstream analytics connected to the same source.
- Standards and Databricks-native access. Teams can work with the data through FHIR REST API, SMART on FHIR, and SQL-on-FHIR ViewDefinitions, or use Databricks-native tools such as Spark, SQL, MLflow, and AI/BI.
- Governance through Unity Catalog. Access controls, audit, and lineage can be applied across clinical application and analytics use cases, helping teams keep policy enforcement closer to the data.
- Databricks identity and token auth. Aidbox supports Databricks identity, allowing existing Databricks workspaces to extend into FHIR workloads without creating a separate authentication model.
- Open standards and legacy data conversion. Aidbox supports FHIR R4, R5, and R6, HL7 FHIR Implementation Guides, SQL-on-FHIR, MDM and terminology services, plus data converters for HL7v2, C-CDA, and X12.
"Databricks is already a core platform for many healthcare organizations, but a production-grade FHIR server has been the missing piece. With Aidbox on Databricks, FHIR is no longer a separate stack — it's a native capability of the Databricks platform. Teams run clinical APIs, build applications, and train models on the same data, with the same governance."
— Pavel Smirnov, CEO, Health Samurai
What customers can build
- Healthcare apps development. Build EHRs, PHRs, telemedicine platforms, and care management products on Databricks — with a production-grade FHIR server, SMART on FHIR app authorization, and analytics on the same data, no separate stack required.
- Clinical data platform consolidation. Replace fragmented clinical systems with a single FHIR-native platform — and do it inside Databricks, where your data team already operates. Unity Catalog governance and analytics apply from day one, on the same data, in the same environment.
- Payer compliance and analytics. Meet CMS mandates — including CMS-0057 and CMS-9115 Patient Access, Payer-to-Payer, and Prior Authorization FHIR APIs — while running HEDIS, STARS, and risk adjustment analytics on the same data, inside Databricks. Unity Catalog applies access controls and audit across interoperability and analytics use cases.
- Population health and value-based care. Run risk stratification, care gap identification, and quality measure reporting directly on FHIR data — no exports, no ETL, no reconciliation lag. With operational and analytical workloads on the same platform, population health programs stay current with the clinical data that drives them.
- Production AI on FHIR data. Build clinical AI — diagnostics, decision support, ambient documentation, and clinical trial cohort discovery — on a platform that unifies the FHIR system of record, MLflow model training, and auditable lineage. Run models against large FHIR datasets and push results back into clinical workflows through FHIR, with every step audited.
- Real-world evidence and post-market surveillance. Pharma and medtech teams already using Databricks for RWE studies can now access FHIR-structured clinical data in the same environment. Run longitudinal analyses, build patient cohorts, and feed post-market surveillance models on governed, standards-based clinical data — ready where your pipelines already run.
Learn more: health-samurai.io/partners/databricks
About Health Samurai
Health Samurai is the company behind Aidbox, a FHIR-native platform used by health IT vendors, providers, and payers to build clinical applications, meet interoperability mandates, and run analytics on healthcare data. Learn more at health-samurai.io.