The data to decision path for infusion of AI in healthcare
Completed by Gabriel Leubner
October 16, 2025
7 hours (approximately)
Gabriel Leubner'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: Artificial Intelligence
- Category: Analytics
- Category: Artificial Intelligence and Machine Learning (AI/ML)
- Category: Data-Driven Decision-Making
- Category: Clinical Informatics
- Category: Health Informatics
- Category: Decision Support Systems
- Category: Machine Learning
- Category: AI Integrations
- Category: Predictive Modeling
- Category: Decision Intelligence
- Category: Predictive Analytics
