BMI 6315 EHR Analytics: Data Exploration and Visualization in Healthcare

3 semester credit hours
Lecture contact hours: 2; Lab contact hours: 3
Web-based instruction
Prerequisite: BMI 5300, BMI 5313 or consent of instructor
Lab Fee: $30

Course Description:

This course is designed to provide informatics students with experience in an EHR’s analytics capabilities. Students will gain hands-on experience in self-service data exploration, including the ability to filter and stratify clinical and operational data, conduct population health queries, and generate actionable insights. The course will also cover core analytics skills, including query design, data visualization, result interpretation, and the application of findings to enhance healthcare delivery and informed decision-making. By working directly within the EHR, students will learn how its native analytics tools support real-time data access, quality improvement initiatives, benchmarking, and the exploration of patient populations for research and education.

Learning Objectives

Upon successful completion of the course, students will:

• Explain the role of EHR tools in healthcare data analytics and decision-making.
• Apply self-service analytics techniques to filter, stratify, and explore clinical and operational data within the EHR.
• Design and execute population health queries to identify and compare patient cohorts.
• Visualize and interpret data using tables, charts, and graphs.
• Evaluate findings to support quality improvement, benchmarking, and evidence-based practice.
• Integrate analytic insights into informatics workflows to improve healthcare delivery and support research.