- Artificial Intelligence and Machine Learning (AI/ML)
- Applied Machine Learning
- Decision Support Systems
- Predictive Analytics
- Health Informatics
- Business Analytics
- Healthcare Industry Knowledge
- Customer experience strategy (CX)
- Analytics
- Data-Driven Decision-Making
- Process Mapping
- Performance Metric
Business Application of Machine Learning and Artificial Intelligence in Healthcare
Completed by Aadish Parashar
September 15, 2024
13 hours (approximately)
Aadish Parashar'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

