The data to decision path for infusion of AI in healthcare
Completed by Sarah Phelps
January 25, 2026
7 hours (approximately)
Sarah Phelps'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: Predictive Modeling
- Category: Decision Intelligence
- Category: AI Enablement
- Category: Data Governance
- Category: Artificial Intelligence
- Category: Machine Learning Methods
- Category: Health Informatics
- Category: Decision Support Systems
- Category: Applied Machine Learning
- Category: Advanced Analytics
- Category: Data-Driven Decision-Making
- Category: Artificial Intelligence and Machine Learning (AI/ML)
