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
analyzing a population health problem, particularly focusing on prevention, exposure assessment, risk reduction, or disease control
using industry-standard strategies for communicating processes and system design
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)
BMI 6111 - Research Design I
BMI 6120 - Terminologies and standards
Systems & Process Modeling
MDCRC 6010 - Introduction to Epidemiology
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
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.
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.
PhD Application Deadlines
It is advantageous to submit your application as soon as possible. We will begin reviewing applications December 1, 2022.