Graduate special topics
MIS 752: AI and Healthcare
Practical and responsible applications of artificial intelligence across healthcare settings.
Featured course lab
Divergence Lab
Explore the gap between what a model reports and what it does through interactive work on reasoning, refusal, and faithfulness.
Course overview
What we’ll work on
MIS 752 is a special-topics course focused on the design, evaluation, and responsible use of AI in healthcare. Students examine how modern models behave in consequential settings and build practical workflows around realistic healthcare problems.
Clinical and healthcare AI use cases
Responsible evaluation, safety, privacy, and limitations
Hands-on labs using synthetic or properly de-identified data
Learning outcomes
What you will be able to do
Who it is for. Graduate students headed for analytics, product, or operations roles in healthcare, and anyone who needs to evaluate AI in a regulated setting.
Prerequisites. Graduate standing in the Lee Business School or permission of the instructor. Familiarity with Python, or willingness to learn it quickly. Prior coursework in statistics or data analytics is recommended but not required.
Tools. Python, Synthea synthetic patient data, Fairlearn, large language model APIs, WebCampus. Format. Online, asynchronous, Fall 2026 (August 24 to December 12).
Map the healthcare data ecosystem: claims processing, FHIR and OMOP standards, and the 18 HIPAA identifiers
Build clinical predictive models on realistic synthetic patient data at scale
Audit models for bias and fairness with the Fairlearn framework and identify proxy discrimination
Design agentic AI systems with multi-agent verification loops for prior authorization, documentation, and patient navigation
Evaluate AI systems responsibly, with attention to safety, privacy, and limitations
Student checklist
Start here
- 01Confirm your section
Check the course code, format, and enrollment details in MyUNLV.
- 02Open WebCampus
Read the current syllabus, announcements, and first module.
- 03Set up your Python environment
Install Python and the packages listed in the syllabus before week one. Need more compute? See student resources for GPU access.
- 04Ask early
Email ryoung@unlv.edu with the course code and section format in the subject line.
Watch
Lectures and walkthroughs
Selected recordings from this course and related work are on my YouTube channel. WebCampus remains the official home for required course videos.
Course support
Everything official stays together.
Fall 2026 office hours are Mondays and Wednesdays from 3:00 to 4:00 p.m. in BEH 328. Friday meetings are available by appointment on Zoom.
The current syllabus, announcements, assignments, submissions, and grades are maintained in WebCampus.