The data to decision path for infusion of AI in healthcare
Completed by Devin A Power
February 18, 2026
7 hours (approximately)
Devin A Power '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: Analytics
- Category: Advanced Analytics
- Category: Clinical Informatics
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Machine Learning Methods
- Category: Decision Support Systems
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Data-Driven Decision-Making
- Category: AI Integrations
- Category: Health Informatics
- Category: Data Governance
