Online/Blended Degree and Certificate Programs

Curriculum

This 12-credit healthcare informatics certificate program consists of two tracks that provide the fundamentals of clinical informatics, health analytics and big data, database design, research informatics, digital health and telemedicine.

The two tracks to choose from are:

  • Technology
  • Clinical Informatics

Each track consists of two core courses and two electives. We developed our curriculum from the model curriculum of the International Medical Informatics Association (IMIA). It also aligns with the criteria of the Commission on Accreditation for Health Information and Information Management (CAHIIM).

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Technology Track Courses

Core Courses

This course presents detailed knowledge of how computers operate, how they support healthcare organizations, facilitate clinical decision making and how they are integrated into healthcare operations. Students learn the basics of using Microsoft Office applications — including Word, Excel and PowerPoint — for solving specific health information problems.

This course will teach the fundamental concepts and knowledge in the field of health informatics. Topics covered include, but are not limited to main information technology applications, electronic health records, personal health records, data standards, health information exchange and the future of health informatics applications.

Elective Courses
Select two (2) of the following:

This course presents detailed knowledge of how computers function in a healthcare setting; specifically data modeling, hierarchical and relational databases, systems analysis, project management, Structured Query Language (SQL), Online Analytical Processing (OLAP) and data warehousing.

This course teaches management of information systems in healthcare. The student will explore the technical and organizational behaviors unique to healthcare and how to improve patient care. The ethics of technology use will be explored as applied to decision making and the consequences of changes through the analysis of case studies.

Students are introduced to the fundamental concepts and knowledge in the field of consumer health informatics. This course will focus on the connections between health and information behavior models and evaluate how the internet and emerging technologies impact patients, health systems and healthcare providers.

This course will teach the fundamental concepts of multidisciplinary care planning, explore the technical principles of intra- and inter-organizational health interoperability and identify various interoperability standards in use.

Clinical Informatics Track Courses

Core Courses

This course presents detailed knowledge of how computers operate, how they support healthcare organizations, facilitate clinical decision making and how they are integrated into healthcare operations. Students learn the basics of using Microsoft Office applications — including Word, Excel and PowerPoint — for solving specific health information problems.

This course will teach the fundamental concepts and knowledge in the field of health informatics. Topics covered include, but are not limited to main information technology applications, electronic health records, personal health records, data standards, health information exchange and the future of health informatics applications.

Elective Courses
Select two (2) of the following:

This course will provide the student a deep exploration, integration, and application of information technology across healthcare settings. The theoretical framework for CRI uses three conceptual components: 1) collaborative research development in health informatics, 2) bioinformatics and 3) clinical research workflows.

This course will teach the basic knowledge necessary to understand telemedicine and mobile health applications, develop familiarity with new methods to provide clinical care, track and manage health outcomes and make healthcare delivery personalized, precise and efficient, and understand the various techniques used for data transfer in healthcare services.

This course will teach how to analyze and evaluate various aspects of health analytics and big data analytics. Topics covered include descriptive, predictive and prescriptive analytics, translating healthcare problems as an analytics problem, and the use of natural language processing to gain insights from electronic health records and other open text formats.

This course presents detailed knowledge of how computers function in a healthcare setting; specifically data modeling, hierarchical and relational databases, systems analysis, project management, Structured Query Language (SQL), Online Analytical Processing (OLAP) and data warehousing.