DatriseAI-first ETL

Salesforce Health Cloud to Redash Integration

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

How Datrise loads Salesforce Health Cloud into Redash

Datrise syncs Salesforce Health Cloud's patients, care plans, care teams, clinical encounters, cases, and consents into Redash as SQL tables Redash queries and visualizes. Flexible or custom fields land in flattened columns for query results, 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 for scheduled queries. Redash caches query results on a schedule, so Datrise keeps tables incrementally fresh so cached dashboards reflect reality.

Ideal for lightweight, query-driven dashboards.

Endpoints

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

Redash: Open-source SQL client for queries, visualizations, and dashboards.

How Salesforce Health Cloud entities map to Redash

Salesforce Health Cloud entityRedash objectNotes
patientssalesforce_health_cloud_patientsid PK · custom fields → flattened columns for query results
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 Redash?

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

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

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

Related pipelines

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