27 May Leaf: A powerful, lightweight web application for querying clinical data
Leaf, developed by the Bioinformatics team here at ITHS, is a tool that helps query clinical databases of nearly any data model for cohort estimation and data extraction. It also seamlessly integrates with clinical databases and existing enterprise authentication systems to unleash the potential of translational biomedical research. Now, we want more researchers to know about and use this fantastic tool.
Why use Leaf?
- Leaf is Flexible: Clinical databases come in all shapes and sizes. Leaf can work with nearly any clinical data model, including the OMOP Common Data Model, i2b2 and SHRINE, or other proprietary or non-standard data models. Add Leaf as a sidecar to an existing data warehouse.
- Leaf is User Friendly: Leaf is designed to be simple, intuitive, and fast. Searching for diagnosis or procedural codes, labs, or whatever you point Leaf to is easy.
- Leaf is Secure: Security of protected health information is critical to any healthcare organization. Leaf implements current best security practices to make clinical data both accessible and safe.
To help researchers get to know Leaf better, Ritche Long and Andrew Leever will be heading office hours every other week to demo, troubleshoot, and assist with query building in Leaf. Please reach out to rlong07@uw.edu for more information.
