Introduction to Clinical and Healthcare Research II
Introduction to Clinical and Healthcare Research II covers practical training for clinical trials and health services research, including protocol development, regulatory compliance, and data management.
Summary
Recent recorded grades — Fall 2021: 3.67 GPA, 73.3% A/AB (n=15 letter grades); Fall 2022: 3.46 GPA, 58.3% A/AB (n=12 letter grades); Fall 2023: 3.88 GPA, 100.0% A/AB (n=8 letter grades).
What you’ll be able to do
Apply applicable legal and regulatory responsibilities, liabilities, and accountabilities for clinical trials and health services research studies according to IRBs, HIPAA, CGP, FDA, NIH, ClinicalTrials.gov, and other applicable entities
Apply and implement best practices for human subjects’ protection
Apply team science through working with multidisciplinary and interprofessional team
Analyze requirements in conduct of a clinical trial or health services research study and implement the use of a protocol to standardize procedures
Evaluate and select data collection processes and implement quality control and assurance processes
Create a protocol and consent/assent processes and documents for a clinical trial or health services research study, as well as supportive components
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapSTAT/B M I 542
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
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 |
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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
Recent recorded grades — Fall 2021: 3.67 GPA, 73.3% A/AB (n=15 letter grades); Fall 2022: 3.46 GPA, 58.3% A/AB (n=12 letter grades); Fall 2023: 3.88 GPA, 100.0% A/AB (n=8 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Clinical trials and health services research design and conduct
- Protocol and informed consent development
- Regulatory requirements and human subjects protections
- Data safety monitoring, collection strategies, and management
- Recruitment and retention of diverse and equitable participants
- Research study agreements and budget development
- Federal, institutional, and sponsor-defined requirements
- Research infrastructure establishment for safety and success
Skills
- Design, implementation, and conduct of clinical trials and health services research studies
- Protocol and informed consent development using protocol templates
- Regulatory requirements and human subjects research protections
- Data collection strategies, data management, and quality control
- Strategies to recruit and retain diverse and equitable study participants
- Budget development and justification
- Preparation of investigator-INDs/IDEs
- Team science through working with multidisciplinary and interprofessional teams
Grades
Latest available · Fall 2023— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Fall 2023
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
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
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Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
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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": "56bf8696c962daea5f0d05db9c1c4800428fed934466bfdd9b5f855681560fd5",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}