96 Dr. Kiran C. Patel College of Osteopathic Medicine—Health Informatics Program MI 5180—Human-Computer Interaction in Health Care Settings The dynamics of human-computer interaction (HCI) directly impacts health care. This course will introduce the student to usable interfaces and the study of social consequences associated with the changing environment due to technology innovation. (3 credit hours) MI 5204—Clinical Decision Support Systems This course introduces students to theoretical, statistical, and practical concepts underlying modern medical decisionmaking. Students will be provided with a review of the multiple methods of knowledge generation for clinical decision support systems (CDSS) and will create their own prototype of CDSS. Current implementations of stand-alone and integrated CDSS will be evaluated. Techniques for planning, management, and evaluation of CDSS implementations will be reviewed. Human factors, including work-flow integration and the ethical, legal and regulatory aspects of CDSS use, will be explored, as applicable to commercial implementations in patient care settings. Future models of health care, supported by CDSS and evidence-based medicine, will be discussed and reviewed. (3 credit hours) MI 5205—Program Evaluation in Health Information Technology This interactive course will introduce students to various evaluation methods for health care informatics systems, projects, and proposals. Students will consider both quantitative and qualitative methods of evaluation as they examine the design and implementation processes. Topics will include why to evaluate health care informatics projects; deciding what to evaluate; deciding when evaluation should occur; quantitative evaluation methods; overview of some descriptive and inferential statistical methods; barriers and facilitators to project implementation; and stakeholders, both internal and external to an organization. (3 credit hours) MI 6404—Special Topics in Health Informatics This is an elective course designed as a student/self-directed course. In consultation with the chosen adviser/mentor and the course director, the student will determine a focused topic of quasi-independent study, research, or other appropriate learning activity. A final paper or other appropriate document(s) will serve as documentation of having met the mutually agreed upon objectives. (3 credit hours) MI 6405—Public Health Informatics Public health informatics is the systematic application of information and computer science and technology to public health practice, research, and learning. This course focuses on developing the knowledge and skills of systemic application of information, computer science, and technology to public health practice. Students will acquire a basic understanding of informatics in public health practice and be able to use some informatics tools in public health practices. (3 credit hours) MI 6407—Grant Writing This course provides an introduction to the skills of grant writing in health informatics. Each student will submit a completed grant application as a culminating experience. This course introduces students to grant development and preparation, so they can participate in the process of obtaining public or private funds to support research, education, and/or service projects. Topics will include writing specific aims and hypotheses; research plan significance; methods/approach and innovation; evaluation, time line, and budget; preliminary data, investigator, and human subjects; subcontracts (if necessary); and abstract, facilities/environment, and letters of support. (3 credit hours) MI 6410—Consumer Health Informatics Consumer Health Informatics is a relatively new application of information technologies in the field of health care that aims to engage and empower consumers to become involved in their health care. This course provides an introduction to, and overview of, consumer health informatics, mobile health (mhealth), and social media applications used in health care. It explores the development of consumers as ePatients and tools such as personal health records (PHRs), as well as the fluid nature of social media in medicine and the emerging area of mobile health (mhealth). Students will learn from a combination of lectures and a hands-on approach of interacting directly with the tools and technologies discussed. (3 credit hours) MI 6413—Lean Six Sigma Yellow Belt for Health Care Lean Six Sigma for Health Care (Yellow Belt) participants will learn the basic philosophy, tools, and techniques to deliver breakthrough business improvements that will reduce waiting times, improve quality, and reduce costs in a health care environment. More specifically, they will learn to apply a comprehensive set of 15–20 Lean Six Sigma process improvement tools by using the PDCA (Plan, Do, Check, Act) problem-solving model. They will learn techniques for both quantitative and qualitative analysis, as well as methods and tools for waste reduction and process enhancement and acceleration. The course also covers how to map out processes and identify sources of variation, as well as to gain a basic understanding of descriptive statistical analysis. Finally, students will learn how to perform basic pilot studies and analyze the results in order to determine the most effective way to improve and stabilize processes. Candidates work on either an integrated health care case study or on an actual business project and will apply classroom techniques to the project. (3 credit hours)
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