Health Informatics Courses

HIF 530 - Intro to HI&T Hot Topics (3 credits)

This course provides students with a broad overview of the role of health care information systems (HCIS) in health care delivery and examines conceptual and theoretical foundations of business management principles and practices essential to health informatics. This course provides the fundamentals of the acquisition, storage, and use of information in the clinical informatics setting. Emphasis is given to clinically transformative technologies which include fundamental knowledge of the concepts of health informatics and how technology can be used in the delivery of healthcare. The intent is to increase the student’s capacity for the design, configuration, use, and maintenance of informatics interventions that improve healthcare delivery. This course will also examine the trends impacting the clinical informatics field and the impact of natural and artificial systems and practices. (Formerly Titled: Healthcare Informatics & Technology).

HIF 535 - Health Information Analytics (3 credits)

This course examines and applies analytic methods, data handling, and data cleansing techniques, strategies, and the use of Information Technology (IT) tools for data collection, data analysis, reporting and knowledge management. Applies current theoretical models and research to clinical practice to gain new knowledge from data. Requires students to use analytic tools for analyzing healthcare data with statistics, data visualization, data mining, big data, data warehousing, and report generation. Students will gain an understanding of data visualization, implanting scientific decision making, and using predictive data analytics. (formerly titled: Healthcare Data Analytics) **Important Note: Combines Data Analytics and Advanced Data Analytics

HIF 537 - Research Methods & Data Visualizatn (3 credits)

This course introduces research methods and data visualization techniques for analyzing healthcare data. Students learn practical skills in research design, ethics, data preparation, and storytelling, using generative AI tools to support coding, analysis, and visualization. No prior programming experience is required; all coding is performed via vibe coding using generative AI. This is not a software development course. Rather, it is an AI-supported exploration of healthcare data analytics and visualization.

HIF 539 - Big Data and Data Mining (3 credits)

This course provides an accessible introduction to the core principles and techniques of data mining and big data analytics. Students will learn howto explore, preprocess, and analyze data to extract meaningful patterns and insights. The course introduces fundamental concepts such asclassification, clustering, and association rule mining using real-world examples. It covers the basics of big data platforms like Hadoop and Spark todemonstrate how data mining scales in modern distributed environments. This course emphasizes intuitive understanding and practicalapplications over mathematical rigor, making it ideal for students with little or no prior background in data science.

HIF 550 - Clinical Database Management (3 credits)

Addresses healthcare database theory, database design and query of health databases. Utilize technology for data collection, storage, analysis, and reporting of information by applying knowledge of database architecture and design to meet organizational needs. This course covers basic to intermediate knowledge of the concept, the design, and the implementation of database applications in healthcare. Students will study tools, data models, relational systems, and database administration.

HIF 610 - Info Systems Analysis & Design (3 credits)

This course introduces students to computer programming with a focus on the phases of the systems development life cycle. Students will develop the knowledge and skills needed to be able to evaluate and produce systems design to build software systems for business and analytical information management purposes and to explore human factors, consumer informatics, principles and the application of usability assessments for the development and use of health information technology by clinicians and patients. This includes the ability to apply the basic theoretical and conceptual foundations in systems design and software development such as systems analysis and design, methodologies, techniques, and tools. (Formerly Titled: Systems Design & Software Development)

HIF 635 - Advanced Data Analytics (3 credits)

Using advanced data analytics can improve patient outcomes, lower costs, improve quality and enhance the overall health delivery system performance. This course will provide an in-depth and real-world comprehension of advanced healthcare data analytics topics and the intersecting fields of data mining. The course consists of hands on projects through the understanding of data visualization, implementing scientific decision making, and using predictive data analytics. This includes the use of data to make decisions on business goals and objectives as various types of healthcare organizations and emerging financial models depend on healthcare data analytics. Students will utilize tools and techniques to illustrate and present new knowledge regarding the operations, financial, quality, business intelligence, care and policy in healthcare settings that help to fuel data-driven cultures.

HIF 645 - Hlth Info Security & Application (3 credits)

Study of the technical aspects of data security in healthcare systems. This course will cover strategies for designing, implementing, auditing, and evaluating the technical, physical and human components of an information security system that adhere to a healthcare organization’s legal, ethical and organizational requirements. This course focuses on assessment of security vulnerabilities, threats, breaches, and the exploration of technical applications and software tools used for securing health information systems. (Formerly Titled: Healthcare Information Security Systems)

HIF 695 - Hlth Info & Analytics Capstone (3 credits)

The capstone course is the final course in which students will present the results of their Final Research Projects and explore current issues relative to the field of Health Informatics in a rapidly changing healthcare delivery system. Each student completes the applied research project and presents the project for professional and peer evaluation. (Formerly Titled: Health Informatics Masters Capstone and M.S. Health Informatics Capstone). Prerequisite(s): HIF535, HCA640.