Online/Blended Degree and Certificate Programs

Curriculum

The online Master of Science in Healthcare Informatics was developed by esteemed faculty with a wealth of experience in the field. No matter your background, students in the program will gain field experience and receive expert assistance in determining your on-site work experience, or practicum, location.

Learn the ins and outs of managing information systems, develop expertise in research methods in health education, and gain the skills necessary to meet today’s demand for efficient and effective patient care.

The online M.S. in Healthcare Informatics curriculum is characterized by:

  • A focus on emerging informatics and medical monitoring technologies
  • A response to high-demand needs in the growing healthcare marketplace such as improved patient coordination and care
  • Hands-on laboratory instruction and personalized attention
  • An engaging, interactive online learning environment

The online M.S. in Healthcare Informatics degree can be taken part-time. This multidisciplinary program was developed and is taught by widely-published and experienced faculty members who are eager to help students become tomorrow’s healthcare informatics leaders.

Two prerequisite courses in mathematics and statistics are required to be completed before beginning the core curriculum. Applicants who have received a B or higher in a comparable course from an accredited university within the last five years may be able to waive this requirement.

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Online Healthcare Informatics Prerequisite Courses

Designed to assist students in understanding the use of quantitative techniques and models in management decision making. Management interpretation is discussed for certain applications. Topics include elements of algebra; break-even model; linear programming; matrices, differential calculus concepts; optimization applications; and introductory probability concepts.

Organizations confront a myriad of problems characterized by uncertainty in the environment. The decision making process requires models, analysis, and solutions that account for this uncertainty, and statistics provides a methodology that assists in the resolution of those issues. Topics include probability, sampling distributions, parameter estimation, hypothesis testing, regression/correlation.

Prerequisite 1: DSC 507


* or equivalent courses approved for transfer credit

Online Healthcare Informatics Courses

This course presents detailed knowledge of how computers operate, how they support the 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.

The course introduces students to the historical development, structure, operation, and future directions of the major components of the American healthcare delivery system. It will address the issues of access, quality, cost, and assess the contributions of medical technology, research, and societal values on our healthcare delivery system.

This course prepares students for successful integration of health information systems into healthcare practice. Healthcare providers are central to successful integration. Three domains are addressed: challenges encountered in health information system implementation; considerations for integration of health information systems; and system design in the perspective of end users.

This course prepares students for state-of-the-art clinical decision support systems. Four main domains are addressed: evidence-based decision making for knowledge generation; issues in representing knowledge; organizational, cultural, legal, and ethical issues in designing, using, and evaluating clinical decision support systems; and applications of clinical decision support systems used in healthcare.

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.

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.

Provides seminar and practical experience in the observation, participation in, and critical analysis of various roles and functions of Healthcare Information Technology professionals. Students will complete a minimum of 150 hours in practicum work during site visits.

An introductory course focused on the meaning and ramifications of health information and privacy; from the perspective of the patient, provider, employer, health-insurer, business, legal, and government. Strategic emphasis will be placed on utilization of a practical framework, integrating ethical fundamentals of patient privacy, emergency preparedness, and data storage and recovery.

This course teaches management of information systems in healthcare. The student will explore the technical and organizational behaviors unique to healthcare 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.

This course addresses the management of information systems in healthcare; using the American Health Information Management Association (AHIMA) model. The organizational healthcare delivery system will be explored and scrutinized, including; quality through technology, legal, performance, risk, utilization. Practical context encompasses, data exchange, storage, retention, destruction, indices and registries, applied to decision making.

Online Healthcare Informatics Electives

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 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.

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.

Students are introduced to the patient and user experience and identify the most appropriate research methods to evaluate the interactions between physical, social, cognitive, and psychological human behavior and health informatics applications. Topics covered include statistical methods and analyses used to improve patient and user experience, and perform data analysis.

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 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.