Application Track: Translational Research Informatics

Translational informatics teaches skills needed to accelerate the generation of new knowledge across the translational research spectrum and to perform research in precision medicine. Students will demonstrate competency in (a) informatics methods required for utilizing biomedical data for research, (b) methods for data collection, integration, modeling, and quality, as well as for streamlining analytic processes, development of infrastructure, and decision support for research, (c) developing novel computational methods for information extraction, retrieval, and knowledge discovery as applicable to research (e.g. phenotyping), (d) developing novel informatics methods that advance the practice of research (e.g., recruitment, reproducibility of research).

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/Semester Course Cr.
Year 1 Fall BMI 6018 Intro to Computer Programming  3
BMI 6010 Fnd Healthcare Informatics 2
BMI 6806 Translational Informatics 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 6120 Standards in Biomedical Informatics 2
BMI 6112 Research Design Part II 1.5
Year 2 Fall  BMI 6701 Population and Public Health Informatics 2
PHS 7020 Analysis of Secondary Data 3
BMI 6203 Clinical Database Design 2
Ethics 1
Electives
Year 2 Spring Practicum in Clinical Research Informatics 3
Electives
Research Credits

 

Recommended Electives

MDCRC  6150 Biomedical Text Processing
CS 6140 Data Mining
NURS 7104 Applied Informatics for Health Sciences Research
IS 6580 Data Science and Big Data Analytics
CS 6630 Visualization
CS 6530 Database Systems
IS 6480 Data Warehouse Design and Implementation
BMI 6440 Clinical Information Systems Architecture
BMI 7010 Journal Club in Advanced Computing and Big Data
IS 6570 Information Technology Security
BMI 6115 Biomedical Text Processing
BMI 6015 Applied Machine Learning for Biomedical Data

 

Special Interest Groups

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.

Practicum

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

Global Health Informatics

This is a hands-on, project based course with interdisciplinary experience in informatics activities in global health projects or resource-limited organizations and agencies. Integration of informatics content, skills, and role expectations is emphasized. Students will collaborate with global health partners in multi-disciplinary teams and synthesize informatics course content and apply to actual project/ site issues. Students interested in applying informatics methods or developing informatics methods for global health problems will find this of interest.

Please contact Ram Gouripeddi for more information.

Journal Clubs

Review and discuss literature in this area.

The Translational Bioinformatics SIG hosts a combination of journal club and student research in progress presentations.

Affiliated Faculty

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

DBMI

Samir Abdelrahman; Mollie Cummins, Nursing Informatics; Michael Dean, Pediatrics; Karen Eilbeck; Julio Facelli; Ram Gouripeddi; Bernie LaSalle; Younghee Lee; Gang Luo; Stephane Meystre; Alan Morris, Intermountain; Scott Narus, Intermountain; Flory Nkoy, Pediatrics; Matthew Samore, Epidemiology; Brian Sauer, Epidemiology; Katherine Sward, Nursing Informatics.

Non-DBMI:

Brian Chapman, Radiology; Tom Greene, Population Health Sciences; Rachel Hess, Population Health Sciences.

Ph. D. Application Deadlines

Fall Semester

Due Date: December 1st

Online Application

Biomedical Informatics at the University of Utah