- i2b2 is an open-source clinical data warehousing and analytics research platform used at over 250 locations worldwide. i2b2 enables sharing, integration, standardization, and analysis of heterogenous data from healthcare and research.
- The i2b2 Community is a life-sciences-focused open-source, open-data community. This wiki is the central place for the i2b2 Community to communicate and share projects with other users. Here you will find the latest information on the i2b2 Software, what others in the community are doing, and find resources to help answer any questions you may have about the i2b2.
- i2b2 is part of the i2b2 tranSMART Foundation, which brings together an NIH-funded enterprise clinical research platform (i2b2) and pharma-developed software for translational research studies (tranSMART).
Older, unsupported add-ons are on the Archived Optional Components page.
Version 1.7.13 SHRINE Approved
Released June 2022 under the Mozilla 2 Open Source License
Version 1.7.12a SHRINE Approved
Released May 2020 under the Mozilla 2 Open Source License
Version 1.7.12 Deprecated
Released December 2019 under the Mozilla 2 Open Source License
Released February 27, 2019 under the Mozilla 2 Open Source License
Released April 30, 2018 under the Mozilla 2 Open Source License
Version 1.7.09C SHRINE Approved
Released January 12, 2018 under the Mozilla 2 Open Source License
Older Optional Components
These are optional components that can be used to enhance your i2b2 and released under the Mozilla 2 Open Source License. They are no longer officially supported.
Newest i2b2 Community Projects
Links and Older Announcements
i2b2 Log4j Vulnerability Update
None of the versions of i2b2 are using the affected (vulnerable) version of Log4j. For versions prior to 1.7.13, a patch is available to remove the features in Log4j with security flaws. i2b2 1.7.13 has been upgraded to the latest version of Log4J.
Consortium for Clinical Characterization of Covid-19 by EHR (4CE)
4CE is an international consortium for electronic health record (EHR) data-driven studies of the COVID-19 pandemic. The goal of this effort—led by the i2b2 international academics users group—is to inform doctors, epidemiologists and the public about COVID-19 patients with data acquired through the health care process.