This course explores AI’s role in healthcare decision-making, focusing on data integration, predictive intelligence, and operational impact. Learners will examine AI’s use in clinical and administrative functions, data governance, and workflow integration. Through real-world examples, they will gain insights into AI’s potential, challenges, and strategic implementation in healthcare.
The data to decision path for infusion of AI in healthcare
Discover new skills with 30% off courses from industry experts. Save now.
The data to decision path for infusion of AI in healthcare
This course is part of AI for Healthcare Systems Specialization
Instructor: Jiban Khuntia
Included with 
Gain insight into a topic and learn the fundamentals.
Beginner level
Recommended experience
7 hours to complete
Flexible schedule
Learn at your own pace
What you'll learn
Understand AI’s role in the Data-Information-Analysis-Decision (DIAD) process and how it enhances decision-making in healthcare.
Analyze the integration of AI-driven analytics and machine learning algorithms in healthcare models for predictive and operational intelligence.
Assess the challenges of AI implementation in healthcare, including data governance, workflow integration, and strategic alignment.
Skills you'll gain
- Digital Transformation
- Analytics
- Health Technology
- Applied Machine Learning
- Real Time Data
- Advanced Analytics
- Data-Driven Decision-Making
- Machine Learning Algorithms
- Artificial Intelligence
- Artificial Intelligence and Machine Learning (AI/ML)
- Data Governance
- Predictive Analytics
- Machine Learning
- Decision Support Systems
- Business Analytics
- Predictive Modeling
- Health Informatics
Details to know
Shareable certificate
Add to your LinkedIn profile
Recently updated!
September 2025
Assessments
4 assignments
Taught in English
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
Covers how AI supports the DIAD pipeline, from raw data to informed healthcare decisions.
What's included
8 videos1 reading1 assignment
Focuses on the centrality of analytics in transforming data into actionable insights for healthcare.
What's included
9 videos1 reading1 assignment
Introduces fundamental AI and machine learning algorithms widely used in healthcare applications.
What's included
8 videos1 reading1 assignment
Explores advanced AI algorithms designed for complex healthcare modeling challenges.
What's included
10 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
Offered by
Explore more from Health Informatics
University of Colorado System
University of Colorado System
University of Colorado System
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."
Open new doors with Coursera Plus
Unlimited access to 10,000+ world-class courses, hands-on projects, and job-ready certificate programs - all included in your subscription
Advance your career with an online degree
Earn a degree from world-class universities - 100% online
Join over 3,400 global companies that choose Coursera for Business
Upskill your employees to excel in the digital economy
Frequently asked questions
To access the course materials, assignments and to earn a Certificate, you will need to purchase the Certificate experience when you enroll in a course. You can try a Free Trial instead, or apply for Financial Aid. The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
More questions
Financial aid available,