CLIF Resources
CLIF 101
New to CLIF? Start here. CLIF 101 walks you through everything you need to launch a CLIF project — from the core concepts to setting up your first dataset.
What you'll find:
- CLIF concepts and table structure
- Step-by-step getting-started path
- Links to tools and example data
ETL Guide
Comprehensive, table-by-table guidance for transforming your source EHR data into CLIF — covering pipelines, mapping, and implementation best practices.
Key topics:
- End-to-end ETL workflow
- Table-by-table mapping guidance
- EHR integration best practices
DQA Framework
Assess and improve the quality of your CLIF datasets with the Data Quality Assurance (DQA) framework — standardized checks for completeness, conformance, and plausibility.
Key features:
- Completeness, conformance & plausibility checks
- Standardized quality metrics
- Actionable, reproducible reporting
mCIDE Explorer
Browse the minimum Common ICU Data Elements (mCIDE) — the controlled vocabularies and permissible values that standardize CLIF categories across sites.
Key features:
- Searchable permissible-value lists
- Category-by-category breakdown
- In sync with the data dictionary
CLIF GitHub Organization
The central hub for all CLIF-related repositories and tools. Our GitHub organization hosts various projects, including ETL pipelines, analysis tools, and documentation. Join our open-source community to contribute and stay updated with the latest developments in CLIF.
Resources Available:
- Source code for all CLIF tools
- Documentation and guides
- Example implementations
- Community contributions
clifpy Python Package
Our official Python package for working with CLIF data. clifpy provides a comprehensive set of tools for loading, validating, and analyzing CLIF-formatted datasets directly in Python, making it easy to integrate CLIF data into your research workflows.
Key Features:
- Easy data loading and manipulation
- Built-in validation functions
- Analysis utilities
- Comprehensive documentation
CLIF-MIMIC ETL Pipeline
Transform MIMIC-IV data into CLIF format with our comprehensive ETL pipeline. This repository provides a complete workflow and codebase for converting MIMIC-IV dataset into the Common Longitudinal ICU data Format, making it easier to integrate with other CLIF-compatible datasets.
Key Features:
- Automated data transformation pipeline
- Detailed mapping documentation
- Quality assurance checks
CLIF for EPIC-Caboodle
Jump-start your CLIF 2.0.0 implementation with our pre-built SQL queries for Epic's Caboodle/Clarity systems. These carefully crafted queries help you extract and transform your Epic data into the CLIF format efficiently.
Features:
- Boilerplate SQL queries
- Optimized for Epic systems
- Implementation guidance
CLIF Assistant
Get interactive guidance for your CLIF ETL implementation with our AI-powered assistant. This specialized GPT model helps you navigate the complexities of data transformation, offering real-time support and best practices for CLIF implementation.
Capabilities:
- ETL guidance
- Troubleshooting help
- Best practices advice
- Implementation support
CLIF Lighthouse
Ensure the quality of your CLIF implementation with our web-based validation tool. CLIF Lighthouse performs comprehensive checks on your CLIF tables, helping you identify and resolve any inconsistencies or quality issues.
Key Features:
- Automated quality checks
- Data validation
- Visual reporting
Ready to Implement CLIF?
Get comprehensive guidance on ETL pipelines, EHR integration, and implementation best practices with our complete ETL Guide.
Need Help?
If you need assistance with any of these tools, please refer to their respective documentation or reach out to the CLIF community through GitHub discussions.