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Leaf is a powerful, fun, lightweight web application for querying clinical data. Leaf helps query clinical databases of nearly any data model for cohort estimation and data extraction. Leaf seamlessly integrates with clinical databases and existing enterprise authentication systems to unleash the potential of translational biomedical research.
Clinical databases are often the starting point for nearly any kind of clinical or biomedical research endeavor, whether in assessing feasibility of clinical trials, prep to research, retrospective research, or data science and machine learning. It's also often the case that academic medical centers have many more brilliant researchers, clinicians, and trainees eager to test hypotheses and use the data than there are informaticians able to extract it.
Leaf is a simple drag-and-drop web application that writes custom queries directly to clinical databases, so users don't have to.
As an example, imagine a young researcher interested in studying low platelet counts in children diagnosed with congenital anomalies. She's interested in learning about patients at her institution, but may not have the funding to pay to extract the data, or the time to wait in line to request it.
With Leaf, it's easy for her to create a query on her laptop:
A production Leaf instance is hosted at UW Medicine at the University of Washington in Seattle, USA. The Institute of Translational Health Sciences, also at the University of Washington and a key partner of our team, has a page about Leaf here https://www.iths.org/investigators/services/bmi/leaf if you are interested.
