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Clinical Research Informatics Track

Clinical Research Informatics Application Track

teaches knowledge, theories, and skills needed to accelerate the generation of new knowledge across the translational research spectrum and to perform research in precision medicine. Students are required to demonstrate competency in

  • informatics methods required for utilizing biomedical data for research,

  • methods for data collection, integration, modeling, and quality, as well as for streamlining analytic processes, development of infrastructure, and decision support for research,

  • developing novel computational methods for information extraction, retrieval, and knowledge discovery as applicable to research (e.g. phenotyping), and

  • developing novel informatics methods that advance the practice of research (e.g., recruitment, reproducibility of research)

Courses

REQUIRED

BMI 6111 - Research Design I

BMI 6112 - Grant Writing

BMI 6120 - Standards in Biomedical Informatics

BMI 6010 - Foundations of Healthcare Informatics

BMI 6030 - Foundations of Bioinformatics

BMI 6018 - Introduction to Programming

BMI 6120 - Introduction to Population and Public Health

BMI 6106 - Introduction to Probability and Statistics in Biomedical Informatics

PHIL 7570 - Research Ethics

ELECTIVE

CS 6140 - Data Mining

IS 6570 - Cyber Security Management 

CS 5530 - Database Systems

NURS 7104 - Applied Informatics for Health Sci Research

PHS 7020 - Methods and Mechanics of Secondary Data Analysis

CS 6140 - Data Mining

CS 5530 - Database Systems

 

 

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.

AFFILIATED FACULTY

DBMI: Samir Abdelrahman; Mollie Cummins, Nursing Informatics; Michael Dean, Pediatrics; Karen Eilbeck; Julio Facelli; Ram Gouripeddi; 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: Tom Greene, Population Health Sciences; Rachel Hess, Population Health Sciences.

PhD Application Deadlines

December 1st - Initial 

Online Application

Applications now open

December 31st - Final

Biomedical Informatics at the University of Utah