Application Track: Population & Public Health Informatics

Population and Public Health Informatics teaches students to apply informatics-based strategies to address population and public health problems and goals. Population health is a broad domain that may involve a variety of data sources (clinical, environmental, social media), stakeholders (individuals, communities, public health agencies, clinical settings), and strategies (surveillance, decision support, standards-based case reporting, consumer health, nutritional interventions). Students must demonstrate competency in (a) analyzing a population health problem, particularly focusing on prevention, exposure assessment, risk reduction, or disease control, (b) using industry-standard strategies for communicating processes and system design, (c) 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).

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 6701 Population and Public Health 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
MHA 6804 (002) Principles of Leadership in Healthcare 1.5
Year 2 Summer MDCRC 6010 Intro to Epidemiology 1
Year 2 Fall  BMI 6701 Research Design Part II 2
BMI 6806 Translational Informatics 2
BMI 6203 Clinical Database Design 2
Ethics 1
Electives
Year 2 Spring Practicum in Public Health Informatics 3
Electives
Research Credits

 

Recommended Electives

BMI 6300 Clinical Decision Support
PHS 7020 Biomedical Big Data Science
PHS 7100 Fnds of Population and Clinical Health
FPMD 6700 Environmental Public Health
GEOG 6190 GIS Environmental and Public Health
BMI 6821 Human System Interaction
PHS 7030 Applied Modern Causal Inference
MDCRC 6110 Epidemiology
BMI 6115 Biomedical Text Processing

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.

If there is not a current journal club, encourage your SIG to host one.

Affiliated Faculty

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

DBMI

Michael Conway; 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.

Ph. D. Application Deadlines

Fall Semester

Due Date: December 1st

Online Application

Biomedical Informatics at the University of Utah