The Universal Consent was developed by the Embedded Clinical Research and Innovation Unit (ECRI) as the primary recruitment engine for the UCLA ATLAS Initiative. Before signing the consent, our participants will view a short video outlining our goal and how their sample will help us reach that goal as well as how the program works, and what participation entails. ATLAS is committed to helping potential participants make informed decisions about whether to participate. By giving potential participants information about how the program works, we are empowering them with the knowledge to join as an informed individual. This ensures our patients/surrogates are making informed decisions.
You can be a part of this exciting research effort by allowing UCLA to utilize either left-over biological samples taken for your routine clinical tests and/or taking a separate tube of blood and/or saliva, as well as using data from your medical record. Together, these will provide data that scientists need to advance science and the field of precision medicine.
You can notify UCLA of your choice (opt-in or opt-out) by completing the UCLA Universal Consent Process. It is a one-time process, which can be completed at participating clinical locations where iPads are handed out. Please follow this link for a list of those locations:
Based on your language of choice, this is the video that you will find in the IPAD in order to participate in the UCLA Research Program. Sharing your biological samples with UCLA can help us develop unique treatments for every patient. After watching it on the IPAD you will be asked for your voluntary participation. Watch the video below to learn more.
Don’t forget to complete the consent for biological samples on the iPad before you leave the office.
Please complete the consent and let UCLA Health know ('yes or no') if you would like to share your biological samples to advance science and medicine.
You will need your medical record number to complete the consent.
“UCLA has the people power required to manipulate complex data. We know how to deal with large datasets relevant to health care and are training the next generation through graduate programs in bioinformatics and genomic research. Physicians used to make decisions based on 5 or 6 data points, but now our goal is to help them make them based on 1000s. We have the infrastructure and workforce to do that.”
—Steven M. Dubinett, MD
Director, CTSI, Senior Associate Dean, Translational Research, David Geffen School of Medicine at UCLA