140.799.01
Introduction to Statistical Analysis and Evidence Generation with Electronic Health Records (EHR) Data
Location
East Baltimore
Term
3rd Term
Department
Biostatistics
Credit(s)
3
Academic Year
2025 - 2026
Instruction Method
In-person
M, W, 3:30 - 4:50pm
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
Yes
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Contact Name
Frequency Schedule
Every Year
Resources
Prerequisite
No prerequisites for this course.
Enrollment Restriction
This course is not restricted.
Explores the opportunities and potential of Electronic Health Record (EHR) data for biomedical research, with an emphasis on statistical frameworks and methods for clinical investigation. Introduces types of clinical data captured in EHR systems, including demographics, diagnoses, procedures, medications, laboratory results, imaging, and vital signs. Reviews statistical and analytical challenges inherent in EHR data, such as missingness, measurement errors, and time-dependent structures. Examines recent developments in statistical methods and inferences for addressing these challenges and generating robust clinical evidence. Emphasizes practical considerations for choosing the appropriate statistical methods when leveraging EHR data in evidence generation and knowledge discovery.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Describe the structure, provenance, and components of Electronic Health Records (EHR) systems, including how data are collected and organized.
- Evaluate the strengths and limitations of EHR data for biomedical research and clinical evidence generation.
- Apply critical thinking and analytical skills to explore published studies, formulate research questions, and review methodological approaches, such as the novel developments in statistical methods and inferences, using EHR data.
Upon successfully completing this course, students will be able to:
Methods of Assessment
This course is evaluated as follows:
- 35% Participation
- 40% Assignments
- 25% Final Presentation
Students cannot be simultaneously enrolled in the Application of Epidemiology Study Design & Measurement Principles in Electronic Health Record Data course