DatabricksMichael Smith, Cameron Kahn, Stephen Hsu, Scott Black, Ben McKay, Varun GantiExplainer
The California Department of Health Care Services built the Behavioral Health Public County Profile on Databricks, a public dashboard consolidating behavioral health data from all 58 counties for nearly 40 million Californians. Launched on October 1, 2026, following the 2024 passage of Proposition 1, the dashboard supports the new Behavioral Health Services Act (BHSA) tying funding to statewide goals for outcomes, equity, and transparency. The platform uses Spark Declarative Pipelines and Lakeflow Connect for unified data ingestion, Semantic Views for standardized metrics across counties, and serverless compute to process data at scale without infrastructure management. It operates on a FedRAMP-authorized environment meeting federal security standards for health data, with data quality and lineage ensuring every number can be traced to its source. The County Profile enables public comparison of county plans, funding, service delivery, and performance measures, creating a feedback loop between policy intent and measurable outcomes for democratic oversight.
California’s behavioral health data was previously scattered across disparate systems, making it difficult for the public to interpret. In 2024, voters approved Proposition 1, transitioning to the Behavioral Health Services Act (BHSA), which ties funding to statewide goals for outcomes, equity, and transparency. The County Profile serves as the accountability engine for this transformation.
The California Department of Health Care Services built the Behavioral Health Public County Profile on Databricks, using Spark Declarative Pipelines and Lakeflow Connect for unified data ingestion from 58 counties, Semantic Views for standardized metrics, serverless compute for scalable processing, and a FedRAMP-authorized environment for security and compliance.
The dashboard consolidates behavioral health data from all 58 California counties into a single public dashboard, enabling comparison of planning, funding, service delivery, and performance measures.
The platform uses Spark Declarative Pipelines and Lakeflow Connect for unified data ingestion, Semantic Views for standardized metrics, and serverless compute for scalable processing without infrastructure management.
The dashboard operates on a FedRAMP-authorized environment meeting federal security standards for health data, with data quality and lineage ensuring traceability.
It consolidates county-reported data on behavioral health planning, funding, service delivery, demographics, homelessness and housing-related services, BHSA Integrated Plans, and performance measures from all 58 counties.
It uses Databricks Semantic Views to define business logic once and reuse it everywhere, ensuring that comparisons between counties are based on standardized, governed metrics.
It operates on a FedRAMP-authorized environment that meets federal standards for confidentiality, integrity, and availability required for government health data.
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