Course Index

Questions about courses, descriptions or credit hours should be directed to the Registrar's Office.

MBH 684 HEALTHCARE MARKETING

This course delivers an understanding of marketing principles and their roles in linking with healthcare business systems to deliver value. Topics covered include target marketing, branding, product development, competitive assessment and strategic development of marketing plans.

  • Credits: 3.0

MBH 682 QUALITY MANAGEMENT IN HEALTHCARE

This course introduces healthcare administrators to principles and processes of quality management and performance improvement in healthcare. Effectiveness standards, risk management, best practices, benchmarking, and other concepts related to quality improvement and quality outcomes will be discussed. Current issues, datasets, evaluation tools, and the roles of quality monitoring agencies will also be studied.

  • Credits: 3.0

MBH 681 HEALTHCARE ADMINISTRATION PRINCIPLES & PRACTICES

This course provides an overview of the structure, management, financing and regulation of healthcare delivery systems in the United States. A wide range of principles and topics are discussed, including managed care techniques, reimbursement systems and the role of government in healthcare delivery, policy and system reform.

  • Credits: 3.0

MBH 680 Business Law & Ethics in Healthcare

This course is an introduction to the laws and ethics that affect healthcare decisions, relationships among professionals and patients, and the management aspects of healthcare delivery. The goal of the course is to equip future healthcare executives with the knowledge and skills necessary to recognize legal and ethical issues that arise in healthcare practice, to be prepared to evaluate situations that may have legal or ethical implications, to know when to seek legal or ethics committee counsel, and to have an understanding of the implications of healthcare law on their own decision making.

  • Credits: 3.0

MBH 675 Managerial Statistics

This course is designed to prepare the graduate student to understand and interpret biostatistical methods needed in the design and analysis of biomedical and public health investigations. The major topics to be covered include descriptive statistics, probability distributions, sampling distributions, inferences (point estimates and confidence intervals), hypotheses testing (one-sample tests, two-sample tests), Analysis of Variance (ANOVA), as well as simple linear regression and multiple regression analysis. The course emphasizes the application of statistical concepts to analyze research for best available evidence to support quality practice decisions. The course also provides students with hands-on experience in using statistical software (SPSS) to assist in making effective decisions.

  • Credits: 3.0

MBH 674 LEAN SIX SIGMA IN HEALTHCARE

The central focus of Lean is to maximize customer value while minimizing waste within an organization. This course explores lean principles such as specify value, value stream and flow. Understanding value is a critical competency in a Lean culture. By targeting waste a Lean culture is able to focus on key processes in an effort to increase value. The benefit of a Lean culture is that these principles are adaptable to any industry and applicable to every process. Finally, exploration into Lean sustainability is analyzed following the successful adoption of Lean within an organization.

  • Credits: 3.0

MBH 673 UNDERSTANDING AND APPLICATION OF THE DMAIC PROCESS – PART II

This course focuses on the last three phases of the DMAIC problem-solving process. The analyze phase is utilized to determine root causes of variation and poor performance (defects). During this phase tools such histograms, Pareto charts, scatter plot, and regression analysis are utilized to provide visual representation to assist in the identification of defects. The focus of the improve phase is to improve process performance by addressing and eliminating root cause through the use of tools such as brainstorming, mistake proofing, and Pugh Matrix. Finally in the control phase the improved process and future process performance is monitored using process sigma calculation, control charts, cost saving calculations or control plans to ensure ongoing success.

  • Credits: 3.0

MBH 672 UNDERSTANDING AND APPLICATION OF THE DMAIC PROCESS – PART I

Six Sigma is a data-driven approach and by using the DMAIC problem-solving process individuals are provided a systematic methodology for solving problems within organizations. This course focuses on the first two phases of this problem-solving process. The define phase is the identification of a process problem. Defining a problem begins with a process exploration using tools such as Process Flowcharts, Stakeholder Analysis, and by gathering Voice of the Customer data. The next step in the problem-solving process is the measure phase. During this phase a process is measured to determine current performance and to quantify the problem. Tools such as Process Flowchart, Benchmarking, Measurement System Analysis, and value stream mapping can be utilized.

  • Credits: 3.0

MBH 671 INTRODUCTION TO SIX SIGMA QUALITY MANAGEMENT

This course will provide an understanding of design and implementation of quality improvement systems. The Six Sigma methodology is a systematic application that focuses on achieving financial gains and increasing customer satisfaction. Emphasis is placed on the DMAIC problem solving process, which is designed to improve effectiveness. When this process is properly applied significant defects, process waste, and out-of-control processes lead to business gains. Beginning with the define phase of the DMAIC process voice of the customer is analyzed. Process effectiveness will be analyzed to identify root causes of process inefficiencies, elimination of these inefficiencies and developing process improvement practices in the healthcare industry. Basic Lean Six Sigma metrics will also be presented.

  • Credits: 3.0

MBH 670 Healthcare Finance

This course provides the basics of economic theory, market drivers and restraints, healthcare finance and reimbursement, cost/benefit analysis, and healthcare innovation.  The financial environment of healthcare and how it impacts healthcare delivery is examined.  The relationship between healthcare economics, health policy, program development, and clinical practice is explored.

  • Credits: 3.0