What problem does it solve?
This Skill helps design, build, and operate clinical data lakes, lakehouses, and warehouses, addressing the complexities of healthcare data management and analysis.
Core Features & Use Cases
- Data Ingestion: Ingest diverse healthcare data sources including EHR, claims, lab, pharmacy, imaging, RPM, SDOH, and billing data.
- Data Normalization: Normalize data to a clinical Common Data Model (CDM) like OMOP, PCORnet, or Sentinel.
- Entity Resolution: Use EMPI to resolve patient identities and prevent duplication and over-merging.
- Data Quality: Implement data quality checks using OHDSI DQD, Achilles, and other frameworks.
- Storage and Architecture: Define the architecture using Delta Lake, Iceberg, or Hudi and choose the appropriate HIPAA-eligible compute platforms.
- Governance and Compliance: Set up governance, compliance, and security measures to protect PHI and comply with regulations.
Quick Start
Design a data lake architecture for a healthcare organization using the health-data-lake skill.