The data to decision path for infusion of AI in healthcare
Completed by Lim Chee Hon
June 18, 2026
7 hours (approximately)
Lim Chee Hon'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 Algorithms
- Category: Data Governance
- Category: Predictive Modeling
- Category: Decision Intelligence
- Category: Predictive Analytics
- Category: Machine Learning
- Category: Artificial Intelligence
- Category: Advanced Analytics
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Data-Driven Decision-Making
- Category: AI Enablement
- Category: Machine Learning Methods
