Biomedical Informatics PhD & MS
Methods Track: Semantic Interoperability & Knowledge Modeling
This track teaches skills for knowledge representation and for semantic interoperability among various data within and across multiple scales. Students will 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 SI in various settings (c) developing biomedical information systems that require SI (e.g., data integration) (d) exchanging biomedical data in a semantically consistent manner (e.g., Health information exchange), (e) developing novel methods for semantic and metadata discovery and mapping using advanced computing/Big Data approaches.
Recommended Course of Study
This is a recommended schedule for this track. Courses can be waived or tested out of with permission of the course instructor and the student's advisor. Ultimately, the courses a student takes should be determined and approved by the student and the graduate committee.
|Year 1 Fall||BMI 6018||Intro to Computer Programming||3|
|BMI 6010||Fnd Healthcare Informatics||2|
|BMI 6701||Population and Public Health||2|
|BMI 6030||Fnds Bioinformatics||2|
|Year 1 Spring||BMI 6106||Into to Probability and Statistics||3|
|BMI 6111||Research Design Part I||1.5|
|BMI 6103||System Modeling and Process Improvement||2|
|BMI 6440||Clinical Information Systems Architecture||2|
|BMI 6120||Standards in Biomedical Informatics||2|
|Year 2 Fall||BMI 6112||Research Design II||1.5|
|BMI 6806||Translational Informatics||2|
|BMI 6203||Clinical Database Design II||2|
|PHS 7020||Analysis of Secondary Data||3|
|BMI 6203||Clinical Database Design||2|
|Year 2 Spring||FHIR Practicum||3|
|BMI 6300||Clinical Decision Support|
|BMI 6015||Applied Machine Learning|
|CS 5340||Natural Language Processing|
|CS 6140||Data Mining|
|CS 6936||Learning Semantics for NLP Seminar|
|BMI 6804||Implementation of Systems|
|BMI 6115||Biomedical Text Processing|
|IS 6910||Data Mining in Healthcare|
|CS 5350||Machine Learning|
|CS 5300||Artificial Intelligence|
|MATH 6070||Probability Theory|
|CS 6150||Advanced Algorithms|
PhD 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
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 SmartEHR team or the Sociotechnical or NLP service lines on an existing project. Must be coordinated with the team/service line director before registering:
Review and discuss literature in this area.
If there is not a current journal club, encourage your SIG to host one.
Feel free to meet individually with faculty and/or to attend their weekly lab meetings.
Bruce Bray; Wendy Chapman, VA; Guilherme Del Fiol; Karen Eilbeck; Scott Evans, Intermountain; Julio Facelli; Jennifer Garvin, VA; Ram Gouripeddi; Stan Huff, Intermountain; Ken Kawamoto; Scott Narus, Intermountain.
Rick Bradshaw, Intermountain.