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MSHS in Biomedical Informatics: Curriculum

Curriculum Details

36 TOTAL CREDITS REQUIRED

The online MSHS in Biomedical Informatics program consists of 36 credit hours and can be completed in as little as 2 years. Students complete 33 credit hours of graduate research courses and 3 credit hours of elective courses.

Core

Students examine leadership/leadership change theories in the healthcare industry setting, as well as management and communications strategies, and values in a systems framework Students examine topic areas such as populations, sample selection, variables, hypothesis formulation, correlation, t-tests, ANOVA, regression, and chi-square analysis. Students examine output from statistical software (SPSS and SAS), practice problems and reviews of scientific literature through assignments such as a research analysis plan.

Students examine the major themes on healthcare policies, trends, and issues in the major health systems and research enterprise Students apply epidemiologic concepts in the context of translational research.

Basic concepts and methods of biostatistics applied to translational research. Topics include distributions, populations and sample selection, variables, interaction and confounding, hypothesis formulation, correlation, t-tests, ANOVA, regression, and chi.

Students explore the basic concepts of epidemiology which includes various epidemiological study designs used to examine disease frequency, cause-effect relationships between risk factors and disease states, and effects of bias as examples. Students apply epidemiologic concepts in the context of translational research.

Analysis of medical informatics applications and innovations in health care and the health care system; implications for health care delivery and patient outcomes, including electronic medical records, health system databases, and medical data analysis. Restricted to graduate students. Recommended background: graduate enrollment in data science or related field.

Health care quality theory, principles, and practice for medical informatics professionals. Restricted to students in the biomedical informatics program.

Applied contemporary concepts and practice in high performance computing for scientists; systems, resource management, parallel programming, and nationally shared resources Proctor fee Prerequisites: INFR 6101, INFR 6102, and HSCI 6263 (or equivalent statistics course.) Recommended background: graduate students in biomedical Informatics programs.

Supervised field work in biomedical informatics arranged in consultation with the program director. Students must have completed 9 credits of graduate INFR coursework and have program approval in order to enroll May be repeated for credit Prerequisites: graduate students in biomedical Informatics programs.

Capstone project for biomedical informatics arranged in consultation with the program director. Students must have completed 12 credits of graduate INFR coursework and have program approval in order to enroll May be repeated for credit Recommended background: graduate students in biomedical Informatics programs.

Clinical decision support systems (CDSS) used in biomedical informatics to assist health care providers with decision making tasks related to patient care and associated quality improvement efforts. Artificial intelligence in medicine Restricted to students in the biomedical informatics program Prerequisite: INFR 6121.

Elective

Writing grant proposals to fund clinical research, with an emphasis on translational research proposals Emphasis is on persuasive communication, conceptually based hypotheses and research methods and the grant application process, including communicating.

The bioinformatics tools for different analytical situations. Strengths and limitations of the most common bioinformatics strategies. Principally limited to analysis of genomic data, the course is planned to enable students to generalize the acquired knowledge and its underlying principles and techniques to other types of ‘big data’ applications for the purpose of interpretation of results.

The course examines advanced scripting skills in the context of biomedical informatics. This is a programming course utilizing current language for applied systems. Proctor fee Prerequisites: HSCI 6263, INFR 61n/a1 and INFR 61n/a2. Recommended background: graduate students in biomedical Informatics programs.

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