DatriseAI-first ETL

Salesforce Health Cloud to Chartio Integration

AI-first ETL from Salesforce Health Cloud into Chartio. Governed entities, incremental sync, typed landing tables.

How Datrise loads Salesforce Health Cloud into Chartio

Datrise syncs Salesforce Health Cloud's patients, care plans, care teams, clinical encounters, cases, and consents into Chartio as SQL tables a visual-SQL explorer connects to. Flexible or custom fields land in flattened columns for visual SQL, and timestamps such as created, updated, and status changes are typed as temporal columns.

Sync is incremental: Datrise uses incremental refresh of the connected tables, so re-runs update only what changed. Date-partitioned facts. Visual-SQL tools build joins from your schema, so Datrise lands clearly related tables with stable id columns.

Ideal for drag-and-drop charting over a database.

Endpoints

Salesforce Health Cloud: Patient and member relationship management on Salesforce.

Chartio: Cloud BI for exploring warehouse data with drag-and-drop charts.

How Salesforce Health Cloud entities map to Chartio

Salesforce Health Cloud entityChartio objectNotes
patientssalesforce_health_cloud_patientsid PK · custom fields → flattened columns for visual SQL
care planssalesforce_health_cloud_care_plansid PK · linked to salesforce_health_cloud_patients
care teamssalesforce_health_cloud_care_teamsid PK · linked to salesforce_health_cloud_patients
clinical encounterssalesforce_health_cloud_clinical_encountersid PK · linked to salesforce_health_cloud_patients

FAQ

How does Datrise handle Salesforce Health Cloud's custom fields in Chartio?

Flexible values are stored as flattened columns for visual SQL, so new fields don't require a migration; strongly-typed fields — dates, numbers, and references — are promoted to native Chartio types.

How does the Salesforce Health Cloud to Chartio sync stay up to date?

It runs incrementally — Datrise uses incremental refresh of the connected tables.

Related pipelines

Early access

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