Data Mining

The CTSC houses a number of databases which are available to HSC investigators. Each of these provides access to different kinds of patient data that can be mined for research.

Some of our databases contain de-identified data and can be explored by the investigator or members of the research team on a self-serve basis. These databases can help identify potential cohorts to determine study feasibility.

Access to identified patient data requires IRB approval, and usually requires coordination with a CTSC honest broker.

Requests for data or access to CTSC databases can be made through the CTSC Data Request Form.

Clinical Data Warehouse

HSC researchers may request data from the UNMH Electronic Health Record. Approved requests are assigned to a CTSC honest broker who extracts the data and releases it in accordance with all applicable approvals and regulations. All requests must be approved by the CTSC Data Request Review Committee and be associated with a protocol submitted to the HSC Human Research Protections Office.

Health Facts

HealthFacts contains de-identified electronic health record (EHR) data from over 600 participating Cerner client hospitals and clinics in the United States, representing over 106 million unique patients. With this longitudinal, relational database, UNM researchers can analyze detailed sets of de-identified clinical data at the patient level. Available data include demographics, encounters, diagnoses, procedures, lab results, medication orders, medication administration, vital signs, microbiology, surgical cases, other clinical observations, and health systems attributes. Investigators need to put in a data request with CTSC Informatics

TriNetX

IBM MarketScan

IBM MarketScan is the most recent database to be installed on CTSC servers. It contains complete information on inpatient prescriptions, as well as links to outpatient prescription data. MarketScan data also contain diagnoses which can be used to determine the influence of clinical, demographic, and provider characteristics upon prescribing patterns. Individual patients’ prescription fills are recorded so concurrently prescribed drugs can also be identified. . Investigators need to put in a data request with CTSC Informatics.

Cerner Learning Health Network (LHN)

The purpose of the LHN is to provide health systems & clinical research organizations with resources to more efficiently conduct studies that can help advance health care for patients and clinicians.

The network automates de-identified clinical data collection from participating members and pools it together in a database that researchers can access for approved clinical research. Similar to TriNetX but not self-serve. Investigators need to put in a data request with CTSC Informatics.

For more information about our databases please contact  HSC-CTSCBMIScheduling@salud.unm.edu