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Chief and Chair Amy Sitapati, MD describes DBMI, the field of informatics, and some of our interesting research projects.
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Biomedical Informatics (DBMI)
DBMI designs, implements, and evaluates informatics algorithms and systems that serve biomedical researchers, other healthcare providers, and public health professionals.
About Us
The AI revolution and other innovations are bolstering equitable, community-centered solutions to major societal issues from disease to wildfire, and technologies piloted at UC San Diego are laying the groundwork for a better future.
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Our Research
Our research is focused on closing the loop from data acquisition, structuring, analysis, data-driven modeling, decision support, implementation, evaluation, and dissemination at the point of care. The end goal is to provide effective decision support that is delivered to healthcare providers, public health officials, or consumers wherever needed.
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Healthcare AI
Chief and Chair Amy Sitapati, MD shares the top 3 ways AI is transforming operations at UC San Diego hospitals.
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DBMI was founded in the summer of 2009; since then, it has been a Division within the Department of Medicine in the School of Medicine and, in 2015, it also became a Department of UC San Diego Health -- having the tri-partite mission of research, training, and service/collaboration.
News & Events
All of Us Research Program
The mission is simple. We want to speed up health research breakthroughs. To do this, we're asking one million people to share information about their health, habits, and what it's like where they live. By looking for patterns in this information, researchers may learn more about what affects people's health.
Featured Classes
Featured Papers & Books
Johnson B, Curtius K. Digital twins are integral to personalizing medicine and improving public health. Nat Rev Gastroenterol Hepatol. 2024 Oct 9. doi: 10.1038/s41575-024-00992-3. Online ahead of print. PMID: 39384936 No abstract available.
Shashikumar SP, Le JP, Yung N, Ford J, Singh K, Malhotra A, Nemati S, Wardi G. Development and Validation of a Deep Learning Model for Prediction of Adult Physiological Deterioration. Crit Care Explor. 2024 Sep 11;6(9):e1151. doi: 10.1097/CCE.0000000000001151. eCollection 2024 Sep 1. PMID: 39258951
Goldhaber NH, Ramesh K, Horton LE, Longhurst CA, Huang E, Horgan S, Jacobsen GR, Sandler BJ, Broderick RC. The Long Haul to Surgery: Long COVID Has Minimal Burden on Surgical Departments. Int J Environ Res Public Health. 2024 Sep 12;21(9):1205. doi: 10.3390/ijerph21091205. PMID: 39338088
DeForest N, Wang Y, Zhu Z, Dron JS, Koesterer R, Natarajan P, Flannick J, Amariuta T, Peloso GM, Majithia AR. Genome-wide discovery and integrative genomic characterization of insulin resistance loci using serum triglycerides to HDL-cholesterol ratio as a proxy. Nat Commun. 2024 Sep 14;15(1):8068. doi: 10.1038/s41467-024-52105-y. PMID: 39277575
Graber ML, Castro GM, Danforth M, Tilly JL, Croskerry P, El-Kareh R, Hemmalgarn C, Ryan R, Tozier MP, Trowbridge B, Wright J, Zwaan L. Root cause analysis of cases involving diagnosis. Diagnosis (Berl). 2024 Sep 3. doi: 10.1515/dx-2024-0102. Online ahead of print. PMID: 39238228
Lyons PG, Dorr DA, Melton GB, Singh K, Payne PRO. Meeting the Artificial Intelligence Needs of U.S. Health Systems. Ann Intern Med. 2024 Aug 27. doi: 10.7326/ANNALS-24-00396. Online ahead of print. PMID: 39186786 No abstract available.
Sponsorship Opportunities
Your generous gifts enable us to provide valuable academic and research resources and opportunities for biomedical informatics students and faculty.