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Overview
Key Features
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 Business Application of Machine Learning and Artificial Intelligence in Healthcare course offered by Coursera in partnership with Northeastern University, you will be able to:
- 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.
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Visit programme websiteProgramme Structure
Courses include:
- Decision Support and Use Cases
- Predictive Modeling Basics
- Consumerism and Operationalization
- Advanced Topics in Operationalization
Check out the full curriculum
Visit programme websiteKey information
Duration
- Part-time
- 1 days
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Disciplines
Business Information Systems Artificial Intelligence Machine Learning View 29 other Short Courses in Business Information Systems in United StatesExplore more key information
Visit programme websiteAcademic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Intermediate Level
Make sure you meet all requirements
Visit programme websiteTuition Fee
To always see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 1 days.
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Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project.
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