AI for Healthcare Systems is a comprehensive exploration AI-relevant tools, applications and systems for mid-career healthcare and other professionals interested in this topic. This specialization benefits learners beginning to explore a career in AI for healthcare or to gain more knowledge. Systematically using analytics, reporting tools, and data visualization techniques help healthcare organizations with comprehensive insights that support better decision-making and optimizing performance. In turn, AI enhances the capabilities of healthcare professionals and systems, contributing to a more effective, efficient, and patient-centered healthcare system.
AI for Healthcare Systems Specialization
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AI for Healthcare Systems Specialization
Learn to Apply AI in Healthcare. Master strategies and tactics for broad application of AI in healthcare organizations.
Instructor: Jiban Khuntia
Included with 
Get in-depth knowledge of a subject
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
Beginner level
Recommended experience
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Build practical skills to design, evaluate, and apply AI solutions responsibly for healthcare’s most pressing challenges.
Harness AI and analytics to transform healthcare systems, improve decisions, and address real-world health challenges.
Develop the skills to model, design, and apply AI responsibly in advancing healthcare innovation and patient outcomes.
Overview
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
Recently updated!
September 2025
15 practice exercises
Advance your subject-matter expertise
- Learn in-demand skills from university and industry experts
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Specialization - 4 course series
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
Category: Health Technology
Category: Healthcare Industry Knowledge
Category: Machine Learning
Category: Health Systems
Category: Health Equity
Category: Artificial Intelligence
Category: Chronic Diseases
Category: Health Care
Category: Digital Transformation
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
Category: Digital Transformation
Category: Analytics
Category: Health Technology
Category: Applied Machine Learning
Category: Real Time Data
Category: Advanced Analytics
Category: Data-Driven Decision-Making
Category: Machine Learning Algorithms
Category: Artificial Intelligence
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Data Governance
Category: Predictive Analytics
Category: Machine Learning
Category: Decision Support Systems
Category: Business Analytics
Category: Predictive Modeling
Category: Health Informatics
What you'll learn
Understand key AI algorithms and their applications in healthcare decision-making.
Learn the fundamentals of AI modeling, including data preparation, training, and evaluation.
Explore different AI model types and design principles for effective healthcare integration.
Skills you'll gain
Category: Exploratory Data Analysis
Category: Artificial Intelligence
Category: Health Technology
Category: Machine Learning Algorithms
Category: Human Factors (Security)
Category: Health Informatics
Category: Supervised Learning
Category: Predictive Modeling
Category: Unsupervised Learning
Category: Statistical Modeling
Category: Data Modeling
Category: Applied Machine Learning
Category: Descriptive Analytics
Category: Machine Learning
Category: Feature Engineering
Category: Decision Support Systems
Category: Reinforcement Learning
What you'll learn
Understand the role of agentic AI and AI-driven agents in healthcare exploring their impact on automation, decision-making, and system optimization.
Apply theoretical concepts to real-world healthcare challenges, designing and executing a capstone project that addresses issues for patient care.
Develop a comprehensive AI-driven healthcare strategy.
Skills you'll gain
Category: Agentic systems
Category: Generative AI Agents
Category: Health Technology
Category: Real Time Data
Category: Health Informatics
Category: Health Care Procedure and Regulation
Category: Health Systems
Category: Artificial Intelligence and Machine Learning (AI/ML)
Category: Data Ethics
Category: Machine Learning Algorithms
Category: Predictive Modeling
Category: Healthcare Ethics
Category: Artificial Intelligence
Category: Decision Support Systems
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Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
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Frequently asked questions
4 months with an estimated workload of 2-3 hours per week
None
It is recommended to take the courses in order
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Financial aid available,