Eureka! Clinical Analytics is a project of the Emory Department of Biomedical Informatics. It was conceived as part of the vision of the CardioVascular Research Grid (CVRG) to create tools that enable researchers to analyze and manipulate their biomedical research data in the cloud.

What does it do?

Eureka! Description

Eureka! populates an i2b2 database with your data, either imported from a spreadsheet or located in a data warehouse at your healthcare institution. It also populates the database with cohort descriptions of your patients, called clinical phenotypes, that you specify as temporal patterns in diagnoses, procedures, lab test results and other clinical and administrative data. While researchers today typically perform chart abstraction to assign patients to cohorts with complex characteristics, Eureka! does it automatically. I2b2 lets you extract data and computed phenotypes about selected patients into standard statistical analysis tools.

What is going on behind the scenes?

Eureka! Clinical Analytics is a front-end user interface for the Analytic Information Warehouse (AIW) software system. The AIW has been developed at Emory University to provide analytics infrastructure for clinical research and healthcare quality assessment and performance improvement. We are using it to develop predictive models of readmission within 30 days and find "hot spots" in readmissions in Emory Healthcare's patient populations. The AIW software is itself based on Protempa, a software system for finding temporal patterns in clinical datasets (see Origins of Eureka! for details). Loading data into i2b2 is just one of the AIW's features. Future releases of Eureka! will, over time, add user interfaces for the AIW's entire feature set.

May I see the source code?

Yes! The software is available as open source under the Apache License, Version 2.0. Source code is available from the Developer Resources pages.