92 Dr. Kiran C. Patel College of Osteopathic Medicine—Health Informatics Program 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) MI 6414—Basic Skills for Clinical Analysts This class will provide students with introductory understanding of clinical analysts’ daily responsibilities and functions within hospitals. Students will be introduced to daily operations of clinical software systems and learn to understand how such systems are used by health care organizations to provide quality care services. (3 credit hours) 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, its application and usage including: 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. Discussions 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 technologie. (3 credit hours) MI 6416—Lean Six Sigma Green Belt for Health Care Lean Six Sigma for Health Care (Green Belt) participants will learn intermediate level 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 DMAIC (Define, Measure, Analyze, Improve, and Control) problem solving model. They will learn techniques for both quantitative and qualitative analysis, as well as methods and tools for workflow 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 inferential statistical analysis. Finally, they will learn how to perform how to implement lean management tools and philosophy, to improve and stabilize processes. Candidates work on either an integrated health care case study or on an actual business project and will apply class techniques to the project. There will be additional practice with basic tools to help promote mastery. (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 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 6424—Health Care Analytics and Data Visualization I The course will expose students to health care “big data” focused on current needs—such as population health, outcome reporting, clinical decision support, physician quality measurement, and various other measures (including CMS initiatives like meaningful use and Medicare and payer-quality reporting requirements). The course will use current real-world problem scenarios where data analytics and visualization can be applied to successfully report on and solve various problems prevalent in today’s value-based payer model. Students will learn how to do large scale data mining and the infrastructures
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