What is the Los Angeles Data Resource?
The Los Angeles Data Resource (LADR) enables UCLA investigators to identify potential research study cohorts across some of the major Los Angeles healthcare provider organizations. Users can conduct interactive searches of data derived from patient care activities at UCLA, Cedars Sinai, USC, Children's Hospital Los Angeles, City of Hope as well as community clinics associated with Charles R. Drew University of Medicine and Science.
What data is available through this tool?
Cohort counts rather than data sets are available through LADR. These are based on de-identified data extracted from each institution’s clinical data warehouse, transformed into a common data representation, and stored in a separate, dedicated data repository at each institution. Currently, the following search terms are available for querying: Demographics, ICD-9 codes, Medications, Vital Signs and Vital Status. We will be adding Visit Details, ICD-10 Procedures and lab observations in the near future.
What can LADR not do?
LADR is a cohort discovery tool, meaning only patient counts can be retrieved. Patient information cannot be accessed through this tool, but it is possible to gather this information outside of LADR. Please contact us if you would like to gather this information.
Who can use the tool?
To access LADR at UCLA, researchers must be affiliated with a UCLA principal investigator and complete training.If you don't have an account to LADR, please email LADR@ctsi.ucla.edu.
Training materials and background information about LADR is available on the LADR website
Version Release: May 2016
A web browser is required to use LADR. The following four browsers are currently supported:
What type of data is in LADR?
Data is obtained from administrative records and electronic health records of patients that received care across the affiliated medical centers.
The time range in which data is available varies by the institution and depends on the institution’s EHR database. LADR is continually being updated on a weekly or monthly basis, depending on the institution. We will display a chart with data counts across the institutions in the near future.
There is currently no option for patients to request that his/her information be excluded from the LADR database, 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.
More information on the source data can be found on the LADR website.
Where do the ICD-9 codes come from?
ICD-9 codes are based on billing data from both inpatient and outpatient encounters. UCLA is currently upgrading to ICD-10 and we are working on a solution to seamlessly integrate the two coding
What type of medications is in the LADR database?
We have integrated both inpatient and outpatient medications using the Anatomical Therapeutic Chemical (ATC) Classification System hierarchy.
Is each patient reported in LADR a unique patient?
Yes, each patient reported in LADR is unique to the corresponding institution. Whether a query consists of multiple ICD-9 codes, demographics, date restrictions, etc., each patient is only counted once.
Currently, if a patient has been admitted to more than one LADR-affiliated site, he/she will be counted as a separate patient at each institution. This may inflate the total patient count across all institutions, but the site-level count will remain unaffected.
How can I use LADR to recruit patients for my study?
LADR is a cohort discovery tool and, thus, will only provide patient counts for a specific query. To go further and receive identified patient data for recruitment purposes, you will need to follow the steps below:
To get more information on how to access patient-level data from LADR, please click on the link below:
Obtaining Medical Record Data to Conduct Your Research
How does the data compare with data available through other institutions?
Our next step in LADR is to perform more in-depth data quality checks comparing the data available through all of the participating institutions. However, please report any query results that appear inaccurate so we can investigate right away.