COHORT DISCOVERY (ITM LEAF)

ITM LEAF

3

Institutions

10

Years of Data

3 MILLION

Patients

8

Data Domains

165

Researachers

OVER 3.1 MILLION PATIENTS

Leaf is the first discovery tool of its kind in Chicagoland. With just a few clicks, you can explore data across
patient populations and filter according to things like age, medical conditions, and even procedures. ITM Leaf
was made possible thanks to support from NCATS’ Clinical and Translational Science Awards Program grant
number UL1TR002389. Please cite the grant in your work to ensure tools like this can continue to help
researchers like you!

WHAT IS ITM LEAF?

ITM Leaf is a cohort discovery tool deployed by the Institute for Translational Medicine (ITM) at University of Chicago, Rush University Medical Center, and Loyola University Medical Center. Leaf was created at the University of Washington’s Institute of Translational Health Sciences. More information about the background and creation of Leaf can be found in this JAMIA article.
Leaf is a self-service web application that allows cohort discovery from clinical data from single or multiple institutions. Cohort discovery involves finding patient populations using inclusion criteria such as demographics, medical conditions, and procedures. Leaf removes barriers between clinical data and end-users by making it easy to design and run queries that define cohorts. Data loaded onto Leaf are from de-identified Electronic Health Records and include demographics, vital status, encounters, diagnoses, and procedures. Data are organized according to PCORnet common data model specifications. Leaf can be used as preparatory-to-research to determine if there are enough patients that qualify for a study to prepare an IRB protocol or grant proposal.

HOW CAN THIS INFORMATION HELP ME?

See if there are enough patients who would qualify for your study, or use the information to prepare an IRB protocol or grant proposal!
The Leaf cohort discovery tool provides a gateway for clinicians and researchers to perform impactful research. In Leaf, researchers can take an idea or observation and query the database. This ensures that research efforts are focused on addressing the healthcare needs of today, and how they may impact tomorrow.

WHO CAN ACCESS LEAF?

Researchers at the University of Chicago, RUSH, and Loyola University Chicago who are eligible to be on an IRB-approved study can access LEAF using your institutional credentials. You don’t need an approved IRB protocol to access Leaf. 
 Leaf is behind a security firewall, so you’ll need to connect via your institution’s VPN or be on campus to access it.

WHAT DATA ARE AVAILABLE IN LEAF?

The Leaf instance you have access to is connected to de-identified data from the University of Chicago, Rush University Medical Center, and Loyola University Medical Center. De-identification was performed using the Safe Harbor Method as specified by the Health Insurance Portability and Accountability act of 1996 (HIPAA) Privacy Rule. Data domains that can be queried are demographics, vital status, encounters, diagnoses, and procedures. These data are organized according to PCORnet specifications.

HOW OFTEN ARE DATA REFRESHED IN LEAF?

Data are refreshed once every six months. Initial data load onto Leaf was from January 2016 to December 2022.

I’M READY TO GET STARTED WITH ITM LEAF!

Access your ITM institution’s Leaf platform Click your institution’s logo below to get started! Remember to login using your VPN or campus connection.

Want to learn more?

Watch these videos on how to use the tool

1

Intro

2

Basic Query

3

Federated Query

4

Tips

NEED MORE HELP?

Contact Suzi Birz with questions about ITM Leaf
Suzi Birz