The data to decision path for infusion of AI in healthcare
Completed by Michelle Kilgore
February 4, 2026
7 hours (approximately)
Michelle Kilgore'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: Data Governance
- Category: Predictive Modeling
- Category: AI Enablement
- Category: AI Integrations
- Category: Artificial Intelligence
- Category: Machine Learning Algorithms
- Category: Predictive Analytics
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Data-Driven Decision-Making
- Category: Machine Learning Methods
- Category: Decision Support Systems
- Category: Applied Machine Learning
