Biomedical Informatics PhD & MS
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 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|
|Year 2 Spring||Practicum in Public Health Informatics||3|
|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|
|BMI 6115||Biomedical Text Processing|
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.
- Population & Public Health Informatics SIG
- Decision-making and Behavioral Informatics SIG
- Semantic Interoperability SIG
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.
Review and discuss literature in this area.
If there is not a current journal club, encourage your SIG to host one.
Feel free to meet individually with faculty and/or to attend their weekly lab meetings.
Michael Conway; Julio Facelli; Jennifer Garvin; Per Gesteland, Pediatrics; Ram Gouripeddi; John Hurdle; Matthew Samore, Epidemiology; Wu Xu, Utah Department of Health; Catherine Staes.
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.