The Informatics Program (IP) of the UCLA CTSI provides researchers with access to data derived from patient care activities. Investigators can access patient count data using one of our self-service systems. If accessing individual-level data is desired, a consult from Informatics is required. More information can be found below.
UCLA participates in three networks that you can use to assess how many patients would meet different study inclusion criteria that are being considered. The systems also help you choose which other institutions to approach for participation if you need a larger sample size. Once your criteria is set, you can also obtain patient counts by gender, race and ethnicity to facilitate the completion of NIH planned enrollment tables.
Click here for more information about these systems and how you can obtain access.
Direct links to each system:
The Informatics Program acts as the storefront for provisioning healthcare-related datasets for research projects at UCLA. As part of our data provisioning service, Informatics supports investigators through the whole process of obtaining patient data. Informatics reviews IRB applications and suggests modifications to the investigator in order to ensure IRB approval. If needed, Informatics collaborates with the Biostatistics Program to integrate electronic health record (EHR) data with other kinds of data and analytic efforts. Informatics also assists investigators with data security review by the UCLA Office of Compliance Services. Informatics is delegated the authority to grant approval on behalf of the Compliance office in routine cases. Once Informatics ensures all approvals have been secured, our programmers extract the requested data and securely deliver the data set to the investigator via our internal instance of REDCap (HIPAA compliant) or as an encrypted file via University email. You can receive data for studies involving direct patient contact or studies with no direct patient contact.
Click here to find more information on the process for receiving data for your study.