- Artificial Intelligence and Machine Learning (AI/ML)
- Business Analytics
- Data-Driven Decision-Making
- Decision Support Systems
- Performance Metric
- Customer experience strategy (CX)
- Analytics
- Health Informatics
- Process Mapping
- Predictive Analytics
- Applied Machine Learning
- Healthcare Industry Knowledge
Business Application of Machine Learning and Artificial Intelligence in Healthcare
Completed by SAFIYE NIDA ZENGIN
February 7, 2020
13 hours (approximately)
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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
