Skip to main content

Our Mission

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.

Find out more

nurses and physicians wearing scrubs with all of us logo standing in front of ACTRI building

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.

Join Now

Featured Projects

New Research Center Brings Genomic Medicine to Individuals of Admixed Ancestry

Researchers at UC San Diego School of Medicine awarded $11.7 million by National Institutes of Health to identify genomic and socioeconomic factors contributing to health and disease in admixed individuals

About the project

COVID-19 Data Discovery from Clinical Records

COVID-19 Data Discovery from Clinical Records is your resource for questions and answers about COVID-19, funded by the Gordon and Betty Moore Foundation! We use electronic health record (EHR) data from 12 leading medical centers to answer simple and complex clinical questions related to COVID-19.

More about the resource

Featured Papers & Books

Ohno-Machado L, Jiang X, Kuo TT, Tao S, Chen L, Ram PM, Zhang GQ, Xu H. A Hierarchical Strategy to Minimize Privacy Risk when Linking "De-identified" Data in Biomedical Research ConsortiaJ Biomed Inform. 2023 Feb 16:104322. doi: 10.1016/j.jbi.2023.104322. Online ahead of print. PMID: 36806328

 Rogers P, Boussina AE, Shashikumar SP, Wardi G, Longhurst CA, Nemati S. J Med Internet Res. Optimizing the Implementation of Clinical Predictive Models to Minimize National Costs: Sepsis Case Study. 2023 Feb 13;25:e43486. doi: 10.2196/43486. PMID: 36780203

Lee TC, Radha-Saseendrakumar B, Delavar A, Ye GY, Ting MA, Topilow NJ, Bass J, Korn BS, Kikkawa DO, Baxter SL, Liu CY. Evaluation of Depression and Anxiety in a Diverse Population With Thyroid Eye Disease Using the Nationwide NIH All of Us Database.  Ophthalmic Plast Reconstr Surg. 2023 Jan 24. doi: 10.1097/IOP.0000000000002318. Online ahead of print.  PMID: 36727790

Fatemeh Amrollahi, Supreeth P Shashikumar, Angela Meier, Lucila Ohno-Machado, Shamim Nemati, Gabriel Wardi, All of Us Data Helps Better Predict Hospital Readmission for Patients With Sepsis, National Institue of Health All of Us Research Program, October 4, 2022

Fatemeh Amrollahi, Supreeth P Shashikumar, Angela Meier, Lucila Ohno-Machado, Shamim Nemati, Gabriel Wardi, Inclusion of social determinants of health improves sepsis readmission prediction models, Journal of the American Medical Informatics Association, Volume 29, Issue 7, July 2022, Pages 1263–1270

Transforming Biomedical Informatics and Health Information Access: Don Lindberg and the U.S. National Library of Medicine978-1-64368-238-9 (print) | 978-1-64368-239-6 (online)


 More Publications

Featured Classes

MED 264

Principles of Biomedical Informatics

About the Course

MED 262

Current Trends in Biomedical Informatics

More information


Cancer Genomics Journal Club

Find out more

Sponsorship Opportunities

Your generous gifts enable us to provide valuable academic and research resources and opportunities for biomedical informatics students and faculty.

Support Us

Got Feedback?

We would love to hear from you! 

Submit a suggestion

Connect With Us