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Graduate Certificate in Clinical Operations and Healthcare Management: Curriculum

Curriculum Details

18 TOTAL CREDITS REQUIRED

Improve your own communication skills for optimal interprofessional practice, lead efforts in quality improvement, and utilize the technological tools needed to conduct effective data analyses for strategic development.

When you complete the graduate certificate program in Clinical Operations and Healthcare Management online, you’ll be able to pursue a clinical operations career in a variety of health care organizations.

All 18 credit hours are transferable to the MSHS program for seamless enrollment in the Masters in Clinical Operations and Healthcare Management.

Core

The course introduces students to the power of effective communication in the healthcare environment. Students will evaluate their personal communication styles and discuss the impact of effective communication.

Applied health economics, finance and policy for high-quality, value-based health care operations; costs, expenditure, and reimbursement of services; strategic financial planning tools. Restricted to students in the clinical operations and health care management program.

This course focuses on the clinical informatics-system life cycle through a survey of the clinical informatics landscape and its affiliated data, governance, and interoperability structures.

The course introduces students to management in the healthcare industry In this course students will survey the systems and functions required to plan, produce, and deliver high quality, patient centered health care services.

This course builds upon prior coursework to apply clinical operations and health care management practices. Students analyze and discuss real-life operational case studies from a diverse array of healthcare organizations.

Students examine leadership/leadership change theories in the healthcare industry setting, as well as management and communications strategies, and values in a systems framework Students examine topic areas such as populations, sample selection, variables, hypothesis formulation, correlation, t-tests, ANOVA, regression, and chi-square analysis. Students examine output from statistical software (SPSS and SAS), practice problems and reviews of scientific literature through assignments such as a research analysis plan.

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