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
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informatics methods required for utilizing biomedical data for research,
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methods for data collection, integration, modeling, and quality, as well as for streamlining analytic processes, development of infrastructure, and decision support for research,
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developing novel computational methods for information extraction, retrieval, and knowledge discovery as applicable to research (e.g. phenotyping), and
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developing novel informatics methods that advance the practice of research (e.g., recruitment, reproducibility of research)
Courses
REQUIRED
BMI 6111 - Research Design I
BMI 6120 - Terminologies and standards
Systems & Process Modeling
Grant Writing
BMI 6440 - Clinical Information Systems Architecture
BMI 6016 - Biomedical Data Wrangling
ELECTIVE
CS 6140 - Data Mining
IS 6570 - Information Technology Security
IS 6480 - Data Warehouse Design and Implementation
CS 5530 - Database Systems
NURS 7104 - Applied Informatics for Health Sci Research
PHS 7020 - Biomedical Big Data Science
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.
December 31st
It is advantageous to submit your application as soon as possible. We will begin reviewing applications December 1, 2022.
