i2b2

Data is obtained from administrative records and electronic health records of patients that received care across the UCLA Health System (this does not include any of the LA County hospitals).

The time range in which data is available varies and depends on the data type. UCLA i2b2 currently has data on 4.5 million unique patients and is continually being updated. We will display a chart with data counts in the near future.

There is currently no option for patients to request that his/her information be excluded from UCLA i2b2, but all of the fields for every patient specified by HIPAA rules for safe harbor de-identification will be excluded from the data repository except for dates and zip codes.

ICD codes are based on billing data from both inpatient and outpatient encounters.

The Area Deprivation Index (ADI) score is a measure of the socioeconomic deprivation experienced in a geographic area. It was developed by Gopal Singh, PhD, MS, MSc using 17 different markers of socioeconomic status based on the 1990 Census Data. The current index score in UCLA i2b2 is based on the 2000 Census data. Some examples of the markers used to derive the ADI score include: income disparity, median home value, percent of families below federal poverty level and median family income. Higher index values represent higher levels of deprivation.

To learn more about the ADI score and the complete list of socioeconomic status markers, please review the Area Deprivation Index homepage. 

UCLA i2b2 currently has the top 150 ordered laboratory tests from each UCLA institution with the earliest lab data going back to 1992. We are working on integrating all laboratory tests using the Logical Observation Identifiers Names and Codes (LOINC) system and hope to have this available in the near future.

If you are interested in a specific test that is not in UCLA i2b2, please contact us as we are interested in learning what researchers need.

We have integrated both inpatient and outpatient medications using the Anatomical Therapeutic Chemical (ATC) Classification System hierarchy.

Yes, each patient reported by UCLA i2b2 is unique. Whether a query consists of multiple ICD-9 codes, demographics, date restrictions, etc., each patient is only counted once.

UCLA i2b2 is a cohort discovery tool and, thus, will only provide patient counts for a specific query. To go further and receive identified patient data, you will need to follow the steps below:

Obtain patient counts using UCLA i2b2. Obtain UCLA IRB approval. Obtain the patient recruitment list from the UCLA CTSI's Informatics Program.

To get more information on how to access patient-level data from UCLA i2b2, please click on the link below:

Obtaining Medical Record Data to Conduct Your Research

We are performing a couple of initial comparisons between UCLA i2b2 data, data from UHC (university hospital consortium), and the state and the results reported from UCLA i2b2 were identical to the two other data sources.

Our next step in UCLA i2b2 is to perform more in-depth data quality checks. However, please report any query results that appear inaccurate so we can investigate right away.