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i2b2: Informatics for Integrating Biology and the Bedside

The i2B2 tool is a scalable informatics framework that organizes and transforms patient-oriented clinical data in a way that's optimized for clinical research.

About the tool

The i2b2 informatics framework is used for various types and stages of research, including:

  • Feasibility analysis
  • Assistance with study design and eligibility criteria
  • Cohort identification
  • Recruitment of patients to studies
  • Population health research

The i2b2 tool was designed and developed by Harvard Medical School with funding from the National Institutes of Health. It is now used by more than 150 research institutions worldwide, allowing interinstitutional collaborations by providing the functionality to query a research network of other i2b2 installations. More information is available from the i2b2 consortium webpage.

About the data

Understanding the i2b2 data is crucial to building effective queries and properly interpreting query results. Users must receive i2b2 training before accessing the tool. CCaTS highly encourages all users to carefully review the information on this page.

Mayo Clinic's i2b2 data includes de-identified information from patients at Mayo's campuses in Arizona, Florida and Minnesota as well as Mayo Clinic Health System. Users with an approved and active institutional review board (IRB) number or review preparatory to research (RPR) number can re-establish patient identity by using i2b2's data export feature.

Due to data extraction requirements, i2b2 data is not real-time. The data is refreshed every other week, except for the Patient Future Appointments concept type, which is refreshed daily. The most recent data refresh date is shown on the i2b2 log in screen.

Data categories in i2b2 will continue to expand based on user needs. Please email i2b2 support to provide your input.

Currently available i2b2 data includes:

Concept type Data collection sites Time range Data source
Demographic Mayo Clinic's campuses in Arizona, Florida and Minnesota; Mayo Clinic Health System (MCHS) All currently registered patients Master patient index (MPI) patient registration system
Diagnosis — ICD9/ICD10 Mayo Clinic's campuses in Arizona, Florida and Minnesota; MCHS
  • AZ: 1999-present
  • FL: 2003-present
  • MN: 1994-present
  • MCHS: varies
  • AZ/FL/MN data: Decision support system (DSS). This is billing data, the untimely source being revenue cycle (MRIS and Healthquest).
  • MCHS data: Various MCHS revenue cycle systems.
Procedure — ICD9/ICD10/CPT Mayo Clinic's campuses in Arizona, Florida and Minnesota; MCHS
  • AZ: 1999-present
  • FL: 2003-present
  • MN: 1994-present
  • MCHS: varies
  • AZ/FL/MN data: Decision support system (DSS). This is billing data, the untimely source being revenue cycle (MRIS and Healthquest).
  • MCHS data: Various MCHS revenue cycle systems.
Encounter/Visit Mayo Clinic's campuses in Arizona, Florida and Minnesota
  • AZ: 1999-present
  • FL: 2003-present
  • MN: 1994-present
Decision support system (DSS). This is billing data, the untimely source being revenue cycle (MRIS and Healthquest).
Medication — RxNORM Mayo Clinic's campuses in Arizona, Florida and Minnesota; MCHS
  • AZ: 2010-present
  • FL: 2001-present
  • MN: 2006-present
  • MCHS: 2006-present
MICS LastWord Enterprise Orders and Cerner Orders. Medications are coded in RxNORM to ingredient and strength specificity for the Minnesota campus and to the ingredient level for all other data collection sites.
Lab results — LOINC Mayo Clinic's campuses in Arizona, Florida and Minnesota; MCHS 1994-present MICS LastWord Enterprise Orders. Labs are coded in LOINC and Cerner Orders.
Patient future appointments Mayo Clinic's campus in Rochester, Minnesota Currently scheduled future appointments MSS scheduling system

Acknowledgment

Mayo Clinic's installation of the i2b2 tool is offered and supported by the Center for Clinical and Translational Science (CCaTS).

National Institutes of Health (NIH) Public Access Policy requires that all publication that results from NIH funding be uploaded to PubMed Central. Review the process for uploading publications.

All users of the i2b2 tool must cite the NIH Clinical and Translational Science Award (grant UL1TR000135) in any resulting publications. Citation meets NIH regulations and helps ensure that support is available for future research.

Find more information and example citations.

  • Dec 27, 2016
  • ART623605