140.669.79
Leveraging Electronic Health Records (EHR) Data: Opportunities and Challenges for Evidence Generation

Location
Internet
Term
Summer Institute
Department
Biostatistics
Credit(s)
1
Academic Year
2025 - 2026
Instruction Method
Synchronous Online
Start Date
Monday, June 16, 2025
End Date
Wednesday, June 18, 2025
Class Time(s)
M, Tu, W, 1:30 - 4:30pm
Auditors Allowed
No
Available to Undergraduate
No
Grading Restriction
Pass/Fail
Course Instructor(s)
Jiayi (Jessie) Tong
Contact Name
Jiayi Tong
Frequency Schedule
One Year Only
Next Offered
Only offered in 2025
Description
Over recent decades, observational data have become vital for advancing biomedical research and clinical decision-making. Among these, electronic health record (EHR) data stand out for their richness and complexity, capturing diverse longitudinal clinical information such as demographics, diagnoses, treatments, and test results. EHR data offer immense opportunities for generating actionable evidence and driving healthcare innovation but also present challenges like missing data, measurement errors, and biases.
Explores the practical use of observational data, with a focus on EHRs, in biomedical studies. Teaches the challenges of working with these data and the latest methodologies to address them, gaining insights into their potential and limitations for evidence generation.
Learning Objectives
Upon successfully completing this course, students will be able to:
  1. Identify EHR Data to gain a better understanding of the collection, structure, components of data within Electronic Health Records (EHR) systems and methods to curate the data for research purposes.
  2. Recognize the advantages and limitations of EHR data for biomedical research and clinical evidence generation to assist in the recognition of research opportunities.
  3. Build problem-solving skills to design studies.
  4. Integrate statistical analysis with HER data in biomedical research, including generating new research ideas, evaluating fit for purpose of the data, and developing innovative methods.
Methods of Assessment
This course is evaluated as follows:
  • 45% Assignments
  • 40% Participation
  • 15% Discussion
Instructor Consent
No consent required