The data to decision path for infusion of AI in healthcare
Completed by Kristina Suberbielle
March 28, 2026
7 hours (approximately)
Kristina Suberbielle'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: AI Enablement
- Category: Artificial Intelligence
- Category: Clinical Informatics
- Category: Machine Learning
- Category: Analytics
- Category: Data Governance
- Category: Decision Intelligence
- Category: Predictive Analytics
- Category: Machine Learning Methods
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Artificial Neural Networks
- Category: Applied Machine Learning
