ELT for healthcare
Unify clinical and operational data with Skippr Cloud ELT. Run the runner in your environment, discover schemas from EHR databases, and land analytics-ready tables you own.
See ELT product and Install.
The data problem
| Challenge | What you see |
|---|---|
| EHR silos | Patient and operational data live in Epic, Cerner, and specialty systems that do not share a model. |
| PHI and access control | Every pipeline must protect PHI, enforce access, and support audit. |
| Manual reporting | Analysts export from several systems and reconcile in spreadsheets. |
How Skippr Cloud ELT helps
- Discover and evolve schemas from clinical databases without a separate documentation project. See Schema discovery.
- Standardize records before they reach analytics layers. See Data cleansing.
- Generate bronze, silver, and gold dbt for clinical analytics. See Data modeling.
Row-level source data moves from the machine running skippr to your destination. Authentication and control-plane services are Cloud-backed.
Sources teams use
- MSSQL (Epic / Cerner patterns) — hub: MSSQL
- PostgreSQL — hub: PostgreSQL
- SFTP (HL7 / FHIR exports) — hub: SFTP
- S3 — hub: S3
- MongoDB — hub: MongoDB
Warehouses
Compliance
- Self-hosted runner: source data stays on the path you configure.
- Additive schema evolution and dbt models you can review in git.
- This page is not a HIPAA certification. Confirm controls with your compliance team.