NSU HPD Catalog 2021-2022

106 Dr. Kiran C. Patel College of Osteopathic Medicine—Health Informatics Program MI 6415—Information Technologies in Medicine and Telehealth Telemedicine is the exchange of health information from one side to another utilizing electronic communications. This course introduces the student to fundamental concepts and knowledge of telemedicine technologies, as well as its application and usage. Essential aspects of communication networks and services, wired and wireless infrastructures, safeguarding medical data (including health information privacy), systems deployment, patient monitoring and care, information processing, and future trends in telemedicine will be studied. Discussion areas include telemedicine, technical perspectives, scalability to support future growth, integration with legacy infrastructures and interoperability, history, trauma, emergencies and disasters, clinical applications, and other critical components of telemedicine technologies. (3 credit hours) MI 6417—Meaningful Use of Electronic Health Record Systems—A NextGen Approach This course will provide students with the opportunity to learn the fundamentals of set-up and using the applications of one of the most commonly used electronic health record systems in the United States, NextGen, in clinical settings. Students will be required to complete the NextGen elearning modules before the on-campus, hands-on training sessions. This course is required for the competitive internship opportunity in the NSU clinics. (3 credit hours) MI 6418—App Development for Health Information Technology Projects This course provides an introduction to iOS Applications (apps) development with an emphasis on health information technology projects. Topics cover iOS development environment setup, the Swift language syntax, ModelView-Controller design patterns, iOS apps lifecycle, GUI implementation, multitouch handling, graphics processing, file handling, SQLite database handling, audio and video processing, multiplatform support for iPhone and iPad, maps displaying, and web service interfacing. (3 credit hours) MI 6420—Medical Image Processing and Analysis This course will provide students with a preliminary understanding of the theory and practice of medical image processing and analysis in health care. Basic concepts and fundamentals of medical image processing and analysis will be described in the course. The application of medical image processing and analysis in health information systems will also be discussed. Students will be introduced to the fundamentals andmethodology of medical image processing, image analysis, image compression, and molecular imaging. (3 credit hours) MI 6421—Geographical Information Systems: Fundamentals for Health Care This course will introduce students to geographic information systems (GIS) to map and spatially analyze public health and demographic data. Students will learn the fundamentals of the ArcMap software system and ways to integrate cartography into health informatics practice. Beyond use of GIS for cartography, this course will also examine ethical issues and methods of analyzing demographic and spatial health patterns using GIS and demography analysis methods. The versatility of GIS in a public health setting will be examined and will include exercises involving GIS applications in health marketing, demography, epidemiology, and health care systems. For example, the course will look at how different socioeconomic groups use urban spaces differently in terms of transportation and how these differences in navigation impact contact points for health marketing. Other issues covered in the class will be the ethics of GIS, manipulation of data, sources of data, and understanding some commonly used public health datasets such as the YRBS, BRFSS, and U.S. Census. (3 credit hours) MI 6422—Workflows and Process Improvement in Health Care Settings The course will introduce the clinical workflow analysis as a method of choice to improve clinical processes in health care delivery systems. Students will review the primary objectives for process improvement in clinical health care: outcome quality (including patient safety) and the development of health information technology (HIT) to support the Electronic Health Record (EHR) with initiatives showing a significant impact on clinical workflows, such as meaningful use. Students will define the functional components of the health care activities and learn to map on a flowchart the standard symbols used to represent all tasks and steps, decision points, resources, and outcomes of the clinical workflow. Students will apply the tools of workflow analysis by assessing a workflow in a health care setting using graphical representations of the workflow phases (current state, desired state), and process defects identification and classification. The course will introduce the quantitative measures of workflow improvement used in Lean Six Sigma. Students will formalize a proposal for an intervention aimed at the modification and optimization of a clinical workflow. (3 credit hours) MI 6423—Maximizing Talents in the Health Technology Workforce In the ever-changing world of information and global economic competition, it is crucial that individuals and organizations understand their personal and group talents. Today’s educational, health care, and institutional structures lack leadership and cutting-edge thinking. By applying strengthbased leadership practices, one comes to understand his or her own, as well as the group’s, strengths and talents and is able to apply these practices in daily work, as well as in leadership

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