Public Health Informatics Application Track
teaches students to apply informatics-based strategies to address population and public health problems and goals. Population health is a broad domain involving a variety of data sources (e.g., clinical, environmental, social media), stakeholders (e.g., individuals, communities, public health agencies, clinical settings), and strategies (e.g., surveillance, decision support, standards-based case reporting, consumer health, nutritional interventions). Students must demonstrate competency in
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analyzing a population health problem, particularly focusing on prevention, exposure assessment, risk reduction, or disease control
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using industry-standard strategies for communicating processes and system design
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developing expertise in at least one informatics-related methodology (e.g., novel surveillance using NLP applied to social media, implementation of applied technology for behavioral health coordination of care)
courses
REQUIRED
BMI 6111 - Research Design I
BMI 6120 - Terminologies and standards
Systems & Process Modeling
Grant Writing
MDCRC 6010 - Introduction to Epidemiology
ELECTIVE
BMI 6300 - Clinical Decision Support
BMI 6821 - Human System Interactions
BMI 6016 - Biomedical Data Wrangling
PHS 7020 - Biomedical Big Data Science
PHS 7030 - Applied Modern Causal Inference
PHS 7100 - Foundations of Population & Clinical Health
FPMD 6700 - Environmental Public Health
MDCRC 6110 - Intermediate Epidemiology
GEOG 6190 - GIS Environmental & Public Health
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: Julio Facelli; Jennifer Garvin; Per Gesteland, Pediatrics; Ram Gouripeddi; John Hurdle; Matthew Samore, Epidemiology; Wu Xu, Utah Department of Health; Catherine Staes.
Non-DBMI: Angie Fagerlin, PHS; Tom Greene, PHS; Rachel Hess, PHS; Maureen Murtaugh, Epidemiology; Christy Porucznik, F&PM/Public Health; Mike Rubin, Epidemiology; James Vanderslice, F&PM/Public Health.
December 31st
It is advantageous to submit your application as soon as possible. We will begin reviewing applications December 1, 2022.
