The future of healthcare is becoming dependent on our ability to integrate Machine Learning and Artificial Intelligence into our organizations. But it is not enough to recognize the opportunities of AI; we as leaders in the healthcare industry have to first determine the best use for these applications ensuring that we focus our investment on solving problems that impact the bottom line.
This course is part of the Healthcare Trends for Business Professionals Specialization
About this Course
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
- Predictive Analytics
- Decision Support System
Syllabus - What you will learn from this course
Decision Support and Use Cases
Predictive Modeling Basics
Consumerism and Operationalization
Advanced Topics in Operationalization
- 5 stars53.44%
- 4 stars31.03%
- 3 stars5.17%
- 2 stars1.72%
- 1 star8.62%
TOP REVIEWS FROM BUSINESS APPLICATION OF MACHINE LEARNING AND ARTIFICIAL INTELLIGENCE IN HEALTHCARE
Excellent course for technology professionals in Healthcare.
Craig was too good in explaining the models with good examples
Really informative for a beginner. A nice complement to my technology background.
Solid course with an emphasis on the business uses rather than details of ML or AI.
About the Healthcare Trends for Business Professionals Specialization
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