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Standards & Interoperability (S&I) Methods teaches skills, knowledge and theories for knowledge representation and for semantic interoperability among various data within and across multiple scales. Students must demonstrate competency in (a) representing a variety of data for computation and analytics, (b) implementing biomedical (and other) data standards, terminologies, and ontologies for achieving S&I in various settings, (c) developing biomedical information systems that require S&I (e.g., data integration), (d) exchanging biomedical data in a semantically consistent manner (e.g., Health Information Exchange), and (e) developing novel methods for semantic and metadata discovery and mapping using advanced computing/Big Data approaches. 


Special Interest Groups

Ph.D. students are required to attend at least one SIG (all students are encouraged), which bring people with similar interests together to learn, share, and experiment.

  • Semantic Interoperability SIG
  • Decision-making and Behavioral Informatics SIG

Practicum

Sign up for at least one practicum to gain hands-on experience and work with a team on a project.

Students have the opportunity to apply to work for a semester with the ReImagineEHR team or the Sociotechnical expertise on an existing project. Must be coordinated with the team/expertise director before registering:


Journal Clubs

Review and discuss literature in this area.

If there is not a current journal club, encourage your SIG to host one.


Affiliated Faculty

Feel free to meet individually with faculty and/or to attend their weekly lab meetings.

DBMI

Bruce Bray; Guilherme Del Fiol; Karen Eilbeck; Scott Evans, Intermountain; Julio Facelli; Jennifer Garvin, VA; Ram Gouripeddi; Stan Huff, Intermountain; Ken Kawamoto; Scott Narus, Intermountain.

Non-DBMI:

Rick Bradshaw, Intermountain.

PhD Application Deadlines

December 31st

It is advantageous to submit your application as soon as possible.  We will begin reviewing applications December 1, 2022.

Online Application

Biomedical Informatics at the University of Utah