340.805.01
Application of Epidemiology Study Design & Measurement Principles in Electronic Health Record Data
Location
East Baltimore
Term
3rd Term
Department
Epidemiology
Credit(s)
1
Academic Year
2025 - 2026
Instruction Method
In-person
Thursday, 12:00 - 1:20pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
One Year Only
Resources
Prerequisite
340.751, 340.752.
Enrollment Restriction
Student cannot be concurrently enrolled in "Introduction to Statistical Analysis and Evidence Generation with Electronic Health Records (EHR) Data" (course number forthcoming).
Do you know where and how researchers access electronic health record data to answer a research question? Have you wondered what it’s like to work with electronic health record data, but don't know where to start? Electronic health record data are a powerful tool, but using them effectively takes careful consideration of epidemiology principles.
Provides foundational understanding of how electronic health record data can be utilized for epidemiology research. Examines how these data are collected including the data pipelines and data generating mechanisms. Addresses how study design and measurement principles are applied to electronic health record data for accurate research inference. Provides students with a practical set of skills to utilize and design a study using electronic health record data.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Explain how electronic health record data are generated.
- Discuss the advantages and disadvantages of utilizing electronic health record data to answer research questions.
- Apply common nested epidemiological study designs to longitudinal electronic health record data.
- Describe how selection and information bias occur in the context of electronic health record data.
- Develop an exploratory data analyses program for electronic health data to evaluate data quality using epidemiology principles.
Upon successfully completing this course, students will be able to:
Methods of Assessment
This course is evaluated as follows:
- 25% Participation
- 25% Discussion
- 10% In-class Exercises
- 40% Assignments
Students enrolled in this special studies cannot be concurrently enrolled in "Introduction to Statistical Analysis and Evidence Generation with Electronic Health Records (EHR) Data".