4.2 Read 93 reviews
Overview
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.
Key facts
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.
Programme Structure
Courses include:
- Decision Support and Use Cases
- Predictive Modeling Basics
- Consumerism and Operationalization
- Advanced Topics in Operationalization
Key information
Duration
- Part-time
- 7 days
- 10 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Campus Location
- Mountain View, United States
Disciplines
Business Information Systems Artificial Intelligence Machine Learning View 14 other Short Courses in Business Information Systems in United StatesWhat students do after studying
Join for free or log in to access our complete career info list.
Academic 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
- Some related experience required
Tuition Fees
Tuition fees are shown in and the most likely applicable fee is shown based on your nationality.
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
-
Domestic
Applies to youIn-StateFree
Additional Details
This short course is included with Coursera Plus subscription
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.
Improve page content