The purpose of this course is an introduction to analyzing medical and pharmacy data using programming techniques in SAS and SQL. This course will explore the features and complexities of medical and pharmacy data and will focus on all the corresponding aspects of the introductory/preparatory phases of the data life cycle in health economics and outcomes research, including importing and cleansing data, manipulating and creating new variables, merging data, and subsequently preparing a final analytic data set to address specific clinical questions related to a patient population to achieve the objectives of a research study. This course will also provide introductory exposure to generating descriptive statistics using SAS and SQL.
Upon successful completion of this course, the student will be able to:
- Articulate the differences between data and knowledge as they apply in the patient care and
medication use process.
- Describe the prominent issues and resolutions used when working with pharmacy claims data.
- Describe the rationale and impact of analytics in the pharmaceutical, pharmacy and medical
services, and insurance markets.
- Discuss legal and regulatory issues related to pharmaceutical data analysis.
- Describe career options for a pharmacist in the information technology and data analytics field.
*Please note that this syllabus is subject to change. Use the updated syllabus in Canvas as the official course syllabus.