Business Application of Machine Learning and Artificial Intelligence in Healthcare

By Coursera on Coursera · Business
Price
Free

About This Course

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. Throughout these four modules we will examine the use of decision support, journey mapping, predictive analytics, and embedding Machine Learning and Artificial Intelligence into the healthcare industry. By the end of this course you will be able to: 1. Determine the factors involved in decision support that can improve business performance across the provider/payer ecosystem. 2. Identify opportunities for business applications in healthcare by applying journey mapping and pain point analysis in a real world context. 3. Identify differences in methods and techniques in order to appropriately apply to pain points using case studies. 4. Critically assess the opportunities to leverage decision support in adapting to trends in the industry.

Instructor

Craig Johnson

Frequently Asked Questions

How much does Business Application of Machine Learning and Artificial Intelligence in Healthcare cost?
Visit the Business Application of Machine Learning and Artificial Intelligence in Healthcare course page for current pricing and available discounts.
Who teaches Business Application of Machine Learning and Artificial Intelligence in Healthcare?
Business Application of Machine Learning and Artificial Intelligence in Healthcare is taught by Craig Johnson, Northeastern University .
What skill level is Business Application of Machine Learning and Artificial Intelligence in Healthcare for?
This course is designed for all levels learners.