Emerging information technology is generating major new opportunities for innovation in clinical and translational research. The multidisciplinary Informatics and Research Technology (IRT) program works to accelerate effective use of emerging technologies to advance research and improve efficiency in research administration.
Electronic Health Records (EHR) for Data Research
Extend UCSF’s ability to obtain and derive EHR data for research by working closely with campus partners, notably Academic Research Services / Information Technology. We are focused on enabling efficient and compliant access to the EHR data across all of UCSF’s sites, both identified and de-identified, for research. To this end, we also support and use standards, infrastructure and tools, and partner with other academic medical centers in the CTSA consortium and national networks.
Trial Innovation, AI and the Learning Health System
Enable the development of EHR-based interventions, embedded sophisticated & automated randomization methods, use of generative AI, large language models and predictive modeling via clinical trials embedded within healthcare delivery systems for the purpose of generating scientific evidence while delivering healthcare. Our main partners in this effort include UCSF Health and Academic Research Services / Information Technology.
Promote Collaboration
UCSF Profiles – UCSF’s research and researcher networking system (RNS) and expertise mining tool to find partners at UCSF.
UC Profiles - the cross-UC Health networking system that enables searching across the 5 UC Health campuses (Davis, Irvine, LA, San Diego, SF) for collaborators and research partners / expertise.
Support Clinical Studies
UCSF Clinical Trials - a web-based search tool that allows the public and researchers to search for all trials at UCSF.
UC TrialQuest - a database of IRB-approved or pending clinical trials at the 5 UC Health campuses, in partnership with UC BRAID.
Research Analytics
Support UCSF's work in understanding and streamlining the research ecosystem, using a variety of data science approaches. Serve as collaborative partners for other groups, to help disseminate learnings and reduce silos.