Spring 2027

Human Factors Engineering for Healthcare Systems

Introduction to applying Human Factors Engineering theory and methods to analyze and improve healthcare delivery systems.

offering recorded3 credits
Recorded instructors · Spring 2027 No instructors listed

Summary

1 / 6

Past student reviews · Nicole Werner

The workload involved weekly readings with no lectures, and the student rated the difficulty as low.

What you’ll be able to do

  • Explain Human Factors Engineering theories and methods as they pertain to the evaluation and design of healthcare sociotechnical systems

  • Select and critically evaluate the utility of key Human Factors Engineering concepts and tools for assessing and modeling healthcare delivery challenges in sociotechnical systems

  • Identify the impact of changes to the healthcare sociotechnical system at the individual and organizational level

  • Apply a Human Factors Engineering-based sociotechnical system approach to evaluate and design interaction between users and information technologies

  • Demonstrate the use of Human Factors Engineering techniques in solving healthcare delivery problems within the organizational, social, and physical contexts in information system design

  • Demonstrate ability to independently evaluate Human Factors Engineering research in healthcare

Source: UW Guide

Grade history

↗
average GPA
letter grades
A
AB
B
BC
C
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All recorded terms · compare terms & instructors

Prerequisites

Course map

PSYCH/​I SY E 349, or graduate/professional standing, or member of Engineering Guest Students

    • PSYCH/ISYE 349
    • graduate/professional standing
    • member of Engineering Guest Students
    take one
ISYE 557

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree
  • Any of
    • PSYCH/ISYE 349
    • graduate/professional standing
    • member of Engineering Guest Students

Professors

Spring 2027

No instructors recorded for this selection.

Historical instructors & teaching patterns

NICOLE WERNER is recorded teaching in Spring 2020, Fall 2020, Fall 2021. Recorded history may be incomplete and does not establish a future schedule.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Spring 2027

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction0 / 600
LEC 002Online Only0 / 150

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
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Student experience

the class

Past student reviews · Nicole Werner

One student described the course as consisting solely of weekly readings without lectures, feeling they learned nothing during the semester.

Recent recorded grades — Fall 2021: 3.96 GPA, 100.0% A/AB (n=50 letter grades); Fall 2023: 3.94 GPA, 96.0% A/AB (n=25 letter grades); Spring 2026: 3.94 GPA, 98.2% A/AB (n=57 letter grades).

difficulty & workload

Past student reviews · Nicole Werner

The workload involved weekly readings with no lectures, and the student rated the difficulty as low.

Past student reviews · Nicole Werner

The student found the experience frustrating, stating they felt they learned nothing and considered the tuition wasted.

Topics

  • Human Factors Engineering theories and methods for healthcare sociotechnical systems.
  • Impact of changes to healthcare sociotechnical systems at individual and organizational levels.
  • Designing interaction between users and information technologies using HFE approaches.

Skills

  • Explain HFE theories and methods for evaluating and designing healthcare sociotechnical systems.
  • Apply HFE-based approaches to evaluate and design user-interaction with information technologies.
  • Use HFE techniques to solve healthcare delivery problems in organizational, social, and physical contexts.
  • Independently evaluate HFE research in healthcare.

Grades

Latest available · Spring 2026— not enough history to project Spring 2027.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
B
BC
C
D
F

Grades over time

Through Spring 2026

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Spring 2026 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1280 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

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.

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Selected offering source records
ISYE 557 · Spring 2027

Human Factors Engineering for Healthcare Systems

Recorded 2026-10-14
Raw records 
[
  {
    "run_id": "20261014T203208-0851c9a1",
    "semester": "1274",
    "observed_at": "2026-10-14 17:50:09.728220+00:00",
    "offering_id": "1274:490:025510",
    "course_id": "ISYE 557",
    "course_uid": "course_16e96643ede880a0aba1fd15",
    "term_id": "1274",
    "source_course_id": "025510",
    "source_subject_id": "490",
    "title": "Human Factors Engineering for Healthcare Systems",
    "credits_min": 3,
    "credits_max": 3,
    "typically_offered": "Not Applicable"
  }
]
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Student reviews

Original comments behind the course and instructor summaries.

Read original reviews
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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

Explore recorded grades
Dataset & model

Recorded 2026-10-14

View the dataset on Hugging Face
Model outputs & technical records
Qwen/Qwen3.8-27B
LLM outputs across runs
Download part 1
Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance 
{
  "model": "Qwen/Qwen3.8-27B",
  "model_revision": "1d4bf0f2ff6012fd82039f2fa52739d0dd7c60c0",
  "task_version": "17",
  "output_id": "81d2e15eeb8ff40f1a7dd98472ebb1c4c621708e49a80db1f2e0e384c5d67107",
  "requirements_status": "valid",
  "dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
  "observed_at": "2026-10-14 17:50:09.728220+00:00"
}