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Latest DBMI article by El-Kareh et al: Impact of Automated Alerts on Follow-Up of Post-Discharge Microbiology Results: A Cluster Randomized Controlled Trial just published online at JGIM.

The next
UCSD-JAMIA Journal Club, co-sponsored by DBMI and AMIA, is Feb 2, 3pm EST. To watch at DBMI, join us at noon, room 145E, SDSC.

DBMI team selected by PCORI (Patient-Centered Outcomes Research Institute) to report on "Research Infrastructure: Standards in the Use of Collaborative Data Networks or Distributed Data Networks in Patient Centered Outcomes Research".

Zhanglong Ji (master's student) and Xiaoqian Jiang (postdoctoral fellow) led teams receiving first and second best poster awards at SuperData Summit in SD. Congrats!  

Brian Chapman was elected to the Advisory Board of the AMIA Biomedical Imaging Informatics Working Group. 

Check out our new resource for biomedical NLP the NLP Ecosystem on iDASH.

Click here for more Graduate Program Information.


An Introduction to the Division of Biomedical Informatics at UCSD

Biomedical Informatics is an interdisciplinary field at the intersection of biology, medicine, and quantitative sciences. We develop new methods to integrate and analyze vast amounts of data generated in the laboratory, clinical and translational research, clinical encounters, and population studies. Our goals: 

  • excel in biomedical informatics research, 
  • collaborate with biomedical researchers in developing new quantitative methods that enable the formulation and testing of original hypotheses, 
  • train the next generation of biomedical informatics specialists, and 
  • interface with engineering, mathematics, information and computer science communities, serving as a hub for quantitative scientists focused on biomedical research. 

In close collaboration with the UCSD Medical Center and with several academic departments and research units, we are developing novel methods to integrate, query, mine, and interpret clinical and experimental data stemming from heterogeneous sources in a secure and privacy-preserving manner.


Featured Projects 

  • National Center for Biomedical Computing iDASH, NIH 
  • Scalable National Network for Effectiveness Research (SCANNER), AHRQ 
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