The data to decision path for infusion of AI in healthcare
Completed by Rob Miraglia
February 3, 2026
7 hours (approximately)
Rob Miraglia's account is verified. Coursera certifies their successful completion of The data to decision path for infusion of AI in healthcare
What you will 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 will gain
- Category: Machine Learning
- Category: AI Enablement
- Category: Analytics
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Data-Driven Decision-Making
- Category: Artificial Intelligence
- Category: Machine Learning Algorithms
- Category: Health Informatics
- Category: Predictive Modeling
- Category: Decision Intelligence
- Category: Machine Learning Methods
- Category: Advanced Analytics
