The MHI program curriculum covers 36 credit hours and can be completed conveniently on a part-time schedule. At UC Online, we take an interdisciplinary approach to the technological problems faced by the healthcare industry. Courses focus on healthcare, information technology, data analytics and leadership development. The faculty for the MHI program include professors from the highly ranked Data Science program at Lindner College of Business at UC as well as leading healthcare industry experts. This balanced curriculum prepares students to take on a diverse array of high-earning roles within the field of health informatics after graduation.
The program consists of 10 three-credit courses and 1 six-credit practicum course designed to provide a well-rounded curriculum with real-world relevance in health care, IT/IS training, analytics, leadership development and project management. The coursework covers topics that can help prepare students for certification. Students will be enrolled in at least 6 credits per term and can complete the 36-credit-hour program in as few as 24 months.
This course focuses on U.S. healthcare and public health topics such as healthcare delivery, public health services, performance, organization, financing and technology. Key emerging global health topics are taught. The course introduces key public policy impacting health and healthcare, such as policy advocating for patient-centered care, efficiency, quality and safety. The course introduces the role of health information technology and electronic health information sharing. This course also introduces and compares key healthcare quality initiatives.
This course introduces the discipline of health informatics and covers emerging trends. Various information systems, technologies and applications utilized in the context of health and health care are introduced. Their characteristics, strengths, challenges, purpose and impact are taught. Impact on patients, populations and health care providers is emphasized. Factors influencing adoption and use of various clinical and health information systems and technologies are taught. Key information technologies and systems such as electronic health records, health information exchanges, personal health records, public health information systems and mobile health technologies are introduced in this course. Topics such as telemedicine, interoperability and technical concepts are taught and evaluation framework is applied.
Students are introduced to various electronic health information standards such as vocabulary, terminology and messaging standards. Students apply knowledge discovery and extraction techniques such as natural language processing and text mining for health and health care scenarios. This course introduces standards for health and health care data communication, storage and representation, emphasizing new paradigms.
This course introduces legislation relevant to electronic health information privacy and information security. Topics such as electronic health information privacy and security safeguards, risk assessment methodology and contingency planning are taught. Students learn how to mitigate risk to business continuity and plan for disaster recovery.
This course teaches best practices for workflow process mapping, analysis and process redesign in health settings. Students learn how to analyze workflow in the context of health information systems and technology development and implementation. Students experience depicting workflow and system requirements using process modeling notation. The stages of health information system development are taught. Students are introduced to research on usability and human factors, and topics such as human computer interaction and user interface design in the context of workflow. Usability and human factors that can enhance quality, patient care, efficiency, performance, safety and satisfaction are emphasized.
This course applies project and program management knowledge and frameworks to health and health care scenarios specifically focusing on health information technology projects and programs. The course focuses mostly on project management but introduces key knowledge and frameworks utilized by program managers. Topics such as professional communication, team building, project integration management, project risk management, project time management and project quality management are covered. Students can learn the characteristics of a successful project and program. Advanced principles of project scheduling and control are taught. This course is aligned to Project Management Institute standards.
Students learn theories and best practices of leadership, understanding how to manage people and change in the context of health information technology implementation and use. Strategic management practices are covered in this course. Students are introduced to financial management and contract and vendor management. Students also learn best practices for managing the information technology consulting experience.
This course teaches students principles of data modeling and database design. Students gain hands-on experience data modeling, designing and developing a database for a health scenario. Students gain experience with a querying language such as structured query language (SQL).
This is a two-part course. The first part introduces students to key introductory statistical approaches, applying those approaches to health and healthcare data. Qualitative and quantitative analytic methods, evaluation and research design are
introduced. In the second part, students learn best practices of strategically managing large amounts of healthcare data. Data warehousing principles and concepts are taught. Students design a data warehouse relevant to a health or healthcare scenario and learn online analytic processing and data mining. Topics such as enterprise data architecture, data integration and data management are introduced.
In this course, students will learn about advanced database management system features and types relevant in healthcare settings. Students will develop advanced database querying and optimization skills. Students will also gain knowledge about administrative tasks critical for database managers or administrators in healthcare and health settings. Database topics unique to healthcare will be covered in this course, as well as emerging trends.
This course introduces the student to data science in healthcare. The course addresses both advanced database and introductory statistics and data science programming as essential skills in data science. Students increase their database and data science skills through the use of the programming language and advanced database-related assignments. Concepts such as data exploration, transformation and visualization are taught, along with how to address missing data and outliers, and how to conduct tests of assumptions and hypothesis testing. This course assumes that students have completed an introductory database course.
This course will introduce students to a variety of cutting-edge analytics and business intelligence tools applicable to health or healthcare data. Both structured and unstructured data will be introduced in this course. The course will also address topics related to data governance and data quality and various other topics relevant to health data management. This course is predominately hands-on and students will complete a project to demonstrate skills acquired. Students will learn how other industries have applied similar or the same tools.
In collaboration with the course instructor and a preceptor, students design an experience to facilitate the application of health informatics principles, techniques, tools and theories. Emphasis is on activities related to the project objectives that contribute to meeting program objectives. Students are challenged to select health informatics projects that are beneficial to the healthcare industry and that generate meaningful tangible deliverables, and to advance their leadership skills. Students complete an approved project during the duration of the practicum course
Classes are asynchronous. You can log on anytime 24/7 to complete your coursework. Some, but not all tests are proctored using Examity proctoring software.
Yes. Many of our students qualify for some type of financial aid.
Sources of aid:
There are a variety of payment options depending on your eligibility for Financial Aid. Please make sure you work with Financial Aid to understand your eligibility.
At UC Online, we pride ourselves in admitting highly qualified students and helping them achieve their dreams and goals. To do this, we assign a Student Success Coordinator to help each student navigate what is needed to get their degree. Our goal is always to get 100% of students to graduate, but ultimately graduation depends on the student and the amount of work they are willing to put in to get their degree.
Yes. Our online students are no different from our on-campus students in that way. You get a specific ID that you can use to navigate different systems at UC and for potential student discounts.
The University of Cincinnati is one of the first institutions to offer online courses. Innovation in education is at the forefront of what we do. We have expanded the convenience and quality of our online learning to online degree programs. Today, we offer nearly 100 degrees from undergraduate to doctoral programs.
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