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
The data to decision path for infusion of AI in healthcare
This course is part of AI for Healthcare Systems Specialization
Instructor: Jiban Khuntia
Access provided by Emirates Water & Electricity Co.
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
- Applied Machine Learning
- Health Informatics
- Health Information Management
- Data-Driven Decision-Making
- Artificial Intelligence and Machine Learning (AI/ML)
- Digital Transformation
- Data Governance
- Artificial Intelligence
- Analytics
- Health Technology
- Advanced Analytics
- Machine Learning Algorithms
- Artificial Neural Networks
- Business Analytics
- Data Integration
- Decision Support Systems
- Real Time Data
- Machine Learning
- Predictive Analytics
Details to know
Shareable certificate
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Assessments
4 assignments
Taught in English
Recently updated!
September 2025
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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
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