Applied Biomedical Informatics & Real-world Data for Precision Medicine & Population Health
Introduction to biomedical informatics concepts, methods, and tools for precision medicine and population health, focusing on the collection, management, and analysis of real-world data.
Summary
What you’ll be able to do
Demonstrate understanding of biomedical informatics concepts, methods, and tools used in precision medicine and population health.
Demonstrate understanding of real-world data (patient-generated, clinical, and genomic) and data standards used in biomedical research.
Demonstrate understanding of FAIR Guiding Principles for scientific data management and stewardship.
Demonstrate understanding of regulations for using protected health information (PHI) data in health research, and ability to recognize potential ethical and compliance issues.
Source: UW Guide 1· UW Guide 2
Grade history
↗No recorded grade history.
All recorded terms · compare terms & instructors
Prerequisites
Course mapGraduate/professional standing
- Graduate/professional standing
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Graduate/professional standing
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
|---|
Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
No records available.
Student experience
the class
Provides an introduction to key concepts, methods, and tools of biomedical and health informatics used in precision medicine and population health, with emphasis on collection, management, and analysis of real-world data.
difficulty & workload
No workload feedback recorded.
Topics
- Biomedical and health informatics concepts, methods, and tools.
- Collection, management, and analysis of real-world data.
- Patient-generated, clinical, and genomic data; data standards in biomedical research.
- FAIR Guiding Principles for data management and stewardship.
- PHI data regulations, ethics, and compliance in health research.
Skills
- Understanding of biomedical informatics concepts, methods, and tools for precision medicine and population health.
- Understanding of real-world data types and data standards in biomedical research.
- Understanding of FAIR Guiding Principles for scientific data management.
- Recognition of ethical and compliance issues related to PHI data regulations.
Grades
Grade distribution · % of letter grades
No grades available yet.
More grade details Grade mix, volume & source data
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
No offering records for the selected term.
Raw records
[]
Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
No records available.
Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
{
"model": "Qwen/Qwen3.8-27B",
"model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
"task_version": "17",
"output_id": "c6556864a4fcfd8e0897028d0f922591712c0e24157c422d71f0dd533bdb61d1",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}