Healthcare marketing builds upon competencies from HMP 721, HMP 740, and HMP 744, covering foundational marketing principles, their application in healthcare administration, including marketing strategy, strengths and weakness evaluation, environmental forces, competitors, market size, customer/patient stratification and needs by defined groups, products and services, promotion, distribution, evaluation, and communication channels used to launch a targeted approach to different segmentations. Groups will choose a topic (new service, expansion or social marketing/public health topic) for full marketing launch presentations.

This course covers using Python as a programming language to write, implement, and design programs that are relevant to various aspects of programming in a health setting. After completion of this course, students should be comfortable with the basic data structures in Python and R (including arrays, dictionaries and dataframes), conditional logic and iterators, writing Python and R functions, and using Python libraries to read external data and perform data manipulations and data analysis.

Introduces intermediate techniques for data manipulation and analysis for the health care field. Also introduces methods for survey research and large data set manipulation and analysis. There is a lab section utilizing a statistical software package where students perform tasks from a large national data set.

This course focuses on issues related to effective financial management of health care organizations and programs, building upon material covered in HMP 740, Health Care Financial Management. Topics include the time value of money, long-term debt, stocks and equity, and evaluation of capital projects.