Master's of Health Informatics: Sample Curriculum
The program consists of 10 three-credit courses and 1 six-credit practicum course designed to provide a wellrounded 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.
The Healthcare and Public Health Landscape
This course focuses on U.S. health care and public health topics, such as health care 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 health care, 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 health care quality initiatives.
Health Informatics, Information Systems and Technology
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.
Vocabularies, Terminology, Knowledge Discovery and Related Health Information Technology Standards
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.
Health Information Legislation, Privacy and Security
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.
Workflow Process Analysis, System Development, Human Factors and Usability
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 system 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 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.
Project and Program Management
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.
Leadership and Strategic Management in Health Settings
Students can 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. Students are introduced to financial management and contract and vendor management. Students also can learn best practices for managing the information technology consulting experience.
Database Modeling and Design
This course teaches principles of data modeling and database design. Students can gain hands-on experience data modeling, designing and developing a database for a health scenario. Students can gain experience with a querying language such as structured query language (SQL).
Introduction to Statistics, and Healthcare Data Analytics and Business Intelligence
This is a two-part course. The first part introduces students to key introductory statistical approaches, applying those approaches to health and health care data. Qualitative and quantitative analytic methods, evaluation and research design are introduced. In the second part, students can learn best practices of strategically managing large amounts of health care data. Data warehousing principles and concepts are taught. Students design a data warehouse relevant to a health or health care scenario and can learn online analytic processing and data mining. Topics such as enterprise data architecture, data integration and data management are introduced.
Advanced Health Data, Analytics, Business Intelligence and Reporting
This course teaches the use of health and health care data to make decisions and transform health care delivery and the health of individuals and populations. The course concentrates on big and small data, and structured and unstructured data. Tools, applications and approaches for health data analytics are taught. This course covers topics such as statistical approaches; data, Web and text mining; data visualization, simulation, modeling and forecasting. Key regulatory health and health care reporting requirements are taught.
Advanced Database Management and Design in Healthcare Settings
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.
Leveraging Analytics and Business Intelligence Tools for Healthcare
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.