health-data-lake

Design clinical data lakes with ingestion, normalization, and governance.

1|1|Updated May 16, 2026
One-click install
npx skills add https://github.com/aks-builds/healthcareskills --skill health-data-lake
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: health-data-lake
Source: https://github.com/aks-builds/healthcareskills/tree/main/skills/health-data-lake
Command: npx skills add https://github.com/aks-builds/healthcareskills --skill health-data-lake

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires delta-lake, iceberg, hudi, snowflake, databricks, and includes scripts (resource) and references (resource) and assets (resource) components.

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.

Frequently Asked Questions about health-data-lake

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a clinical data lake architecture for healthcare data ingestion?

Normalize healthcare data by mapping diverse raw sources to a clinical Common Data Model (CDM) like OMOP, PCORnet, or Sentinel to enable standardized analysis and interoperability across your clinical data lake.

How do I normalize EHR data to OMOP CDM in a data lake?

Normalize healthcare data by mapping diverse raw sources to a clinical Common Data Model (CDM) like OMOP, PCORnet, or Sentinel to enable standardized analysis and interoperability across your clinical data lake.

What's the best way to resolve patient identities and prevent duplicate records in healthcare data?

Implement healthcare data quality checks using OHDSI DQD and Achilles frameworks to validate data normalization, monitor entity resolution, and ensure compliance within your clinical data lake.

Can I use Delta Lake or Iceberg for HIPAA-eligible compute platforms?

Set up governance, compliance, and security measures to protect PHI, utilizing HIPAA-eligible compute platforms alongside your chosen data lake architecture to comply with healthcare regulations.