221.696.73
Introducing AI in Clinical Settings
Location
Internet
Term
Winter Institute
Department
International Health
Credit(s)
2
Academic Year
2025 - 2026
Instruction Method
Synchronous Online
Start Date
Monday, January 12, 2026
End Date
Friday, January 16, 2026
M, Tu, W, Th, F, 8:00 - 10:50am
Auditors Allowed
Yes, with instructor consent
Available to Undergraduate
Yes
Grading Restriction
Letter Grade or Pass/Fail
Course Instructor(s)
Course Instructor(s)
Kate Tulenko
Contact Name
Frequency Schedule
One Year Only
Resources
Prerequisite
No prerequisites for this course.
Enrollment Restriction
This course is not restricted.
Step into the future of healthcare with our hands-on course on Artificial Intelligence in clinical settings. Explore how AI is transforming diagnostics, facility management, and patient care, and what it means for your career. Through real-world case studies, practical frameworks, and expert guidance, you’ll learn to harness AI’s potential while managing its risks. Whether you're a clinician, manager, or policymaker, this course will equip you to lead in a rapidly evolving health system.
AI is no longer optional in healthcare, it’s essential. This course offers a practical, jargon-free introduction to how artificial intelligence is being used in hospitals and clinics around the world.
Introduces health professionals to the fundamentals of artificial intelligence (AI) in clinical settings. Explores types of AI, common use cases, and software applications across clinical care and health facility management through interactive sessions and individual projects. Emphasizes change management, risk mitigation, and ethical considerations such as medical liability and job displacement. Develops a solution to an AI-related challenge at their workplace and presents final projects applying AI frameworks to real-world scenarios.
Learning Objectives
Upon successfully completing this course, students will be able to:
- Define and describe the seven types of artificial intelligence and their applications in healthcare settings.
- Distinguish between intellectual, physical, and emotional clinical tasks and analyze where AI integration is most feasible.
- Develop and present a practical AI-based solution to a real-world healthcare challenge from their workplace.
Upon successfully completing this course, students will be able to:
Methods of Assessment
This course is evaluated as follows:
- 10% Participation
- 30% Assignments
- 10% Written Assignment(s)
- 20% Final Paper
- 10% Final Presentation
- 20% Final Project