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CCTS Informatics provides investigators with access to UAB electronic health record (EHR) data via either (1) our self-service tools (i2b2 and the Accrual to Clinical Trials (ACT) Network) or (2) an Electronic Data Warehouse (EDW) analyst. 

CCTS Informatics offers three levels of clinical data:

Level 1 –
Summary Data

  • Aggregated patient counts; no Protected Health Information (PHI)
  • IRB approval for use is NOT required (per IRB protocol E160105006)*
  • Appropriate for cohort/enrollment feasibility, correlational studies
  • Accessible via self-service tools (i2b2 and ACT Network) 
Level 2 – Limited (De-identified)
Detailed Data

  • Includes limited identifiers (dates and geographic locations larger than street addresses)
  • IRB approval for use is NOT required (per IRB protocol E160105006)*
  • Appropriate for recruitment or retrospective analyses
  • Accessible via i2b2 self-service tool 
Level 3 – Fully Identified Detailed Data
(only accessible through an Analyst)

  • Patient-level data, with PHI
  • IRB approval required
  • Appropriate for recruitment or prospective
 

*NOTE:
It is possible that funding agencies or journal publishers may require documentation of IRB approval regardless of UAB IRB policy. If so, contact IRB directly to request documentation of approval for Level 1 and Level 2 data sets.

More Data Sources:

Bioinformatics

CCTS Bioinformatics provides data and analytic support for the following:

  • Next Generation Sequence Analysis
  • Microarray analysis
  • Microbiome
  • Data storage, management, and sharing plans
  • Southeast SHRINE Consortium
  • Educational tools and programs
Contact CCTS@uab.edu with any questions.

Clinical Research Informatics

CCTS Clinical Research Informatics provides access to clinical data in the UAB Health System electronic health record to support:

  • Enterprise Data Warehouse (EDW) Initiative
  • Data access and exchange (via i2b2, SHRINE, and EDW analysts)
  • Subject recruitment and retention tools—cohort feasibility, subject identification (with IRB approval), clinical phenotype
  • Design and implementation of clinical research studies and secondary data analyses
  • Targeting clinical trial opportunities (TriNetX)
  • Informatics research (Department of Biomedical Informatics and Data Science)
  • Data science for population insights and "big data" integration