The i2b2 software is a widely adopted solution for secondary use of clinical data for clinical research, specifically designed for cohort identification. i2b2 is still lacking functionalities for data analysis. The aim of this work is to empower the i2b2 framework enabling clinical researchers to perform statistical analyses for accelerating the process of hypothesis testing. To this aim we have developed a flexible extension of i2b2 able to exploit different statistical engines. We have implemented some first applications for basic statistics and survival analyses, exploiting this extension and accessible through suitable user interfaces designed with a special consideration for usability.
Gabetta, M., Malovini, A., Bucalo, M., Zini, E., Tibollo, V., Priori, S., et al. (2017). Beyond cohort selection: An analytics-enabled i2b2. In Exploring Complexity in Health: An Interdisciplinary Systems Approach (pp.572-576). IOS Press [10.3233/978-1-61499-678-1-572].
Beyond cohort selection: An analytics-enabled i2b2
Vettoretti S.;
2017
Abstract
The i2b2 software is a widely adopted solution for secondary use of clinical data for clinical research, specifically designed for cohort identification. i2b2 is still lacking functionalities for data analysis. The aim of this work is to empower the i2b2 framework enabling clinical researchers to perform statistical analyses for accelerating the process of hypothesis testing. To this aim we have developed a flexible extension of i2b2 able to exploit different statistical engines. We have implemented some first applications for basic statistics and survival analyses, exploiting this extension and accessible through suitable user interfaces designed with a special consideration for usability.
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