HCIN 500 Healthcare Informatics (3 semester hours)
Corequisites: HICN 541 or by permission of instructor
Description: The student is exposed to the full range of healthcare informatics as it is employed in today’s workplace. The overall goal of the course is familiarity with the potential contributions of informatics to both health outcomes and business operations so that successful learners return to their workplaces with sufficient knowledge to immediately function more effectively and efficiently.
HCIN 515 Essential Informatics Skills I (3 semester hours)
HCIN 520 Essential Informatics Skills II (3 semester hours)
Description: In this two-semester course, the student engages in a course that provides a robust set of tools for devising customized potential solutions to a range of Healthcare Information Technology (HIT) implementation challenges facing healthcare systems today. The goal of the course is familiarity with basic techniques and current best practices for the planning, evaluation, implementation, adoption and optimization of healthcare IT systems.
HCIN 550 Introduction to Healthcare Analytics (3 semester hours)
Description: The student is exposed to the wide range of analytics tools and techniques used in today’s workplace. The goal of this course is familiarity with the strengths and limitations of these tools so that successful learners return to their workplaces with sufficient knowledge to ask appropriate questions of the available data, choose the appropriate tools and techniques used to analyze the available data, and explain the strengths and weaknesses of any inferences made.
HCIN 545 Healthcare Data (3 semester hours)
Prerequisites: HCIN 541
Description: This course explores various health care specific code sets, such as diagnosis and procedure codes. The history, how code sets are derived, and their primary and secondary purposes are discussed. Proprietary code sets are also explored, as well as their purpose, and the informational and transactional purposes such codes and data fulfill. The course demonstrates, at a basic level, how codes and data are used to construct informational views which then become the basis for analytics.