MPH-500—Healthcare Ecosystems and Policy—3.0 credits
To meet the goals of the Triple Aim, formerly disparate US healthcare systems must now coordinate their activities and seamlessly exchange data. In this period of transition, both the historical means of organizing healthcare systems as well as emerging models must be understood. This course describes the alignment of the goals of the Triple Aim with regulatory, compliance, accreditation, and healthcare policy structures and processes in the United States.
MPH-505— Biomedical Basis of Public and Population Health—3.0 credits
The practices of public and population health are necessarily constrained by, and therefore must consider, both normal anatomy and physiology, and adaptations to disease states. This course provides a foundation in the fundamental biomedical processes and reactions that define human health and disease.
MPH-510—Taxonomies, Nomenclatures, and Code Sets—3.0 credits
Given that over seventy percent of a healthcare record is free form narrative, wave-form, and imaging, systems are necessary for predictably and reproducibly abstracting healthcare data. Therefore, healthcare organizations have developed multiple methods for representing complex data. This course examines the development, purpose, and application of important systems used for reporting healthcare encounters.
MPH-520— Social & Behavioral Public Health—3.0 credits
Effectively changing individual, population and societal health behaviors is one of the substantial challenges of public and population health intervention programs. This course examines social factors that affect individual and group behavior, and how they must be addressed in the design and implementation of successful public health programs.
MPH-525— Biostatistics for Public Health I—3.0 credits
Quantitative analysis of healthcare, sociological and geographic data is important as a basis for identifying public health issues, and for designing intervention programs. This course introduces students to the basis of statistical reasoning, and to fundamental statistical methods used in public and population health.
MAP-530— Information Systems, Databases and Data Warehouses—3.0 credits
Healthcare data, both within an organization and in a multi-entity healthcare system, must be stored and organized in a structured environment that enables reliable access, analysis, and reporting. Robust data storage, management, and analysis approaches require a carefully integrated network of hardware, operating systems, utility devices, and software. Students will learn the fundamentals of modern biomedical information and database systems and will be introduced to structured query language (SQL).
MPH-535— Biostatistics for Public Health II—3.0 credits
Quantitative analysis of healthcare, sociological and geographic data is important as a basis for identifying public health issues, and for designing intervention programs. A continuation of course MPH-525, this course introduces students to the basis of statistical reasoning, and to the fundamental statistical methods used in public and population health.
MAP-540— Reporting and Analyzing Relational Data—3.0 credits
Much of the clinical and operational data that healthcare organizations manage are stored in relational databases and frequently require custom scripts to extract, analyze and report data. In this course, students will use a framework to guide their approach to solving problems using relational data. The students will be required to extract and analyze the data and format the results for meaningful presentations.
MAP-545— Analytics Tools I—3.0 credits
Programmable analytic tools, such as SAS and R, are important business tools for complex analysis of healthcare data. Students will learn the fundamentals of a popular programmable analytic tool, including: how to import and export raw data files; manipulate and transform data; combine data sets; create basic detail and summary reports; and, identify and correct data, syntax and programming logic errors. Students will also be exposed to other programmable analytic tools.
MAP-550— Analytics Tools II—3.0 credits
Programmable analytic tools, such as SAS and R, are important business tools for complex analysis of healthcare data. A continuation of MPH-545, students will learn the fundamentals of a popular programmable analytic tool, including: how to import and export raw data files; manipulate and transform data; combine data sets; create basic detail and summary reports; and, identify and correct data, syntax and programming logic errors.
MPH-555— Epidemiology—3.0 credits
Structured, evidence-based frameworks are necessary to consistently identify and analyze healthcare data, and report relevant healthcare information that can be used to design intervention programs to improve outcomes in human populations. This course examines methods for studying health determinants, distribution, populations, mortality, and morbidity.
MPH-560— Environmental & Occupational Health—3.0 credits
The environment in which people live exerts a powerful influence on both the health of individuals and of populations. These environmental factors are a background to all other determinants of health and well-being, and can profoundly affect the public health. This course examines environmental health by considering the agents of environmental diseases, interventions, and policies used to address environmental health concerns.
MPH-565— Improving the Public’s Health—3.0 credits
Rising healthcare costs, an aging population and the increasing prevalence of chronic diseases are all burdening the US healthcare system. Although clinical care is still directed at individuals, interventions that address specific groups or populations are necessary to address widespread, common problems. In this course, students examine approaches to identifying populations and problems in the US healthcare system that are amenable to public level interventions, and review methods for intervening.
MPH-570— Public Health Capstone—3.0 credits
Solving problems in healthcare organizations requires understanding the issues and context of the problem, selecting the relevant analytic methods and tools, and reporting the results in an appropriate format. Students will apply their data and analytic skills and tools to solving a real-world problem using data stored and managed on a live healthcare informatics laboratory. Students will present their results for students and faculty to review.
Note that courses are subject to change based upon employer needs and marketplace requirements. The most up-to-date course descriptions and textbook information can be found in the Bryan University Course Catalog.