This course introduces how AI shapes modern health systems, exploring key applications, adoption trends, and its role in digital transformation. Learners will assess AI’s potential to enhance healthcare capabilities, improve efficiency, and address major challenges. Designed for anyone interested in AI in healthcare, the course offers real-world examples to help participants evaluate AI’s impact, opportunities, and limitations in health systems.
Foundation and Potential of AI in Healthcare
Foundation and Potential of AI in Healthcare
This course is part of AI for Healthcare Systems Specialization
Instructor: Jiban Khuntia
Access provided by SGCSRC
1,647 already enrolled
Gain insight into a topic and learn the fundamentals.
3.9
(12 reviews)
Beginner level
Recommended experience
7 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
After completing this course, you will be able to describe what AI means for healthcare and health systems.
Understand how health systems broadly use AI for the enhancement of their capabilities.
You will also develop insights into the potential of AI to solve grand healthcare challenges.
Skills you'll gain
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
4 assignments
Taught in English
Recently updated!
September 2025
See how employees at top companies are mastering in-demand skills
Build your subject-matter expertise
This course is part of the AI for Healthcare Systems Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate
There are 4 modules in this course
Introduces the foundations of AI in healthcare, tracing its history and early applications to modern practices.
What's included
8 videos2 readings1 assignment
Examines the current state of AI adoption in health systems, highlighting readiness, barriers, and use cases.
What's included
7 videos1 reading1 assignment
Explores how digitization and AI strengthen healthcare capabilities, from data-driven care to operational efficiency.
What's included
7 videos1 reading1 assignment
Investigates how AI can address major healthcare challenges such as chronic disease, health equity, and system inefficiencies.
What's included
8 videos1 reading1 assignment
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructor
Instructor ratings
5.0 (6 ratings)Offered by
Why people choose Coursera for their career
Felipe M.
Learner since 2018
"To be able to take courses at my own pace and rhythm has been an amazing experience. I can learn whenever it fits my schedule and mood."
Jennifer J.
Learner since 2020
"I directly applied the concepts and skills I learned from my courses to an exciting new project at work."
Larry W.
Learner since 2021
"When I need courses on topics that my university doesn't offer, Coursera is one of the best places to go."
Chaitanya A.
"Learning isn't just about being better at your job: it's so much more than that. Coursera allows me to learn without limits."
Learner reviews
3.9
12 reviews
- 5 stars
50%
- 4 stars
25%
- 3 stars
8.33%
- 2 stars
0%
- 1 star
16.66%
Showing 3 of 12
EM
5
Reviewed on Nov 8, 2025
It was a nice overview of AI in Healthcare. I was particularly interested in Module 4 when specific AI tools were discussed.
Explore more from Health
Northeastern University
Coursera
University of Colorado System
AI CERTs