Build a UAB Cohort with i2b2
Informatics for Integrating Biology & the Bedside
i2b2 is a self-service 'cohort discovery tool' available to all personnel. It allows you to explore and query clinical data that has been deidentified and aggregated. i2b2 allows you to count patients with specific characteristics and services, as well as to save cohorts.
i2b2 is a self-service 'cohort discovery tool' available to all personnel. It allows you to explore and query clinical data that has been deidentified and aggregated. i2b2 allows you to count patients with specific characteristics and services, as well as to save cohorts.
UAB De-Identified Datasets
Dataset Builder in DataLENS
The DataLENS Application includes a Standard Dataset Builder, which allows the creation of detailed clinical datasets in De-Identified (HIPAA Limited Dataset) form. The cohorts, and datasets are controlled and track such that they fall within IRB Exempts requirements.
The DataLENS Application includes a Standard Dataset Builder, which allows the creation of detailed clinical datasets in De-Identified (HIPAA Limited Dataset) form. The cohorts, and datasets are controlled and track such that they fall within IRB Exempts requirements.
Concierge Data Requests
Assistance with specialized requests
While the Self service tools are valuable, we understand that they do not meet all needs. There are two primary reasons that may prevent the use of the available self service functions. 1) PHI is required, whether contact information for recruitment, or full narrative text 2) A custom data structure is required.
While the Self service tools are valuable, we understand that they do not meet all needs. There are two primary reasons that may prevent the use of the available self service functions. 1) PHI is required, whether contact information for recruitment, or full narrative text 2) A custom data structure is required.
Advanced Collaboration
Variable and Values Concept Bundles
Study teams and EDW Developers can collaborate on sets of concepts to be used in datasets, including subsets of diagnosis, medications, and lab values. These can be used in combination for determination of cohorts and dataset content.
Study teams and EDW Developers can collaborate on sets of concepts to be used in datasets, including subsets of diagnosis, medications, and lab values. These can be used in combination for determination of cohorts and dataset content.
Methodology Assistance (Scientific Gateway)
The Scientific Gateway process allows detailed discussion of scientific questions, determination of whether documentation in clinical practice is fit for the scientific purpose/question, and refinement of approaches to effective use of EHR Datasets.
UAB Tissue Biorepository
(UAB-TBR)
Formerly known as the UAB Tissue Collection and Banking Facility, is to collect, process, store, and distribute high quality human tissue specimens to investigators of UAB, members of the O’Neal Comprehensive Cancer Center and others to conduct investigations that advance molecular medicine to individualize treatment and improve clinical care.
Formerly known as the UAB Tissue Collection and Banking Facility, is to collect, process, store, and distribute high quality human tissue specimens to investigators of UAB, members of the O’Neal Comprehensive Cancer Center and others to conduct investigations that advance molecular medicine to individualize treatment and improve clinical care.
Imaging Informatics
Collaboration with Radiology
The UAB Department of Radiology, Division of Imaging Informatics collaborates on Imaging research, including research PACS.
The UAB Department of Radiology, Division of Imaging Informatics collaborates on Imaging research, including research PACS.