- Decision Support Systems
- Health Informatics
- Business Analytics
- Applied Machine Learning
- Process Mapping
- Data-Driven Decision-Making
- Healthcare Industry Knowledge
- Analytics
- Performance Metric
- Predictive Analytics
- Artificial Intelligence and Machine Learning (AI/ML)
- Customer experience strategy (CX)
Business Application of Machine Learning and Artificial Intelligence in Healthcare
Completed by Ali Al Taweel
July 16, 2024
13 hours (approximately)
Ali Al Taweel's account is verified. Coursera certifies their successful completion of Business Application of Machine Learning and Artificial Intelligence in Healthcare
What you will learn
Determine the factors involved in decision support that can improve business performance across the provider/payer ecosystem
Identify opportunities for business applications in healthcare by applying journey mapping and pain point analysis in a real world context
Identify differences in methods and techniques in order to appropriately apply to pain points using case studies
Critically assess the opportunities to leverage decision support in adapting to trends in the industry
Skills you will gain
