Business Application of Machine Learning and Artificial Intelligence in Healthcare

Course Cover

5

(8)

compare button icon

Course Features

icon

Duration

13 hours

icon

Delivery Method

Online

icon

Available on

Limited Access

icon

Accessibility

Desktop, Laptop

icon

Language

English

icon

Subtitles

English

icon

Level

Advanced

icon

Teaching Type

Self Paced

icon

Video Content

13 hours

Course Description

It is vital that we can incorporate Machine Learning and Artificial Intelligence into our organizations for the future healthcare. It's not enough to recognize the potential of AI. Healthcare leaders must decide how to best make use of these applications. This will ensure that investment dollars are directed towards solving the most pressing problems.

These modules cover decision support, journey mapping, and embedding Machine Learning, Artificial Intelligence, into the healthcare industry.

Course Overview

projects-img

International Faculty

projects-img

Post Course Interactions

projects-img

Instructor-Moderated Discussions

Skills You Will Gain

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

Course Instructors

Craig Johnson

Part-time Lecturer, Chief Science Officer at Decision Point Health Solutions

Craig is a thought leader, innovator, entrepreneur and part time faculty in the Healthcare Informatics graduate program focused on the business application of machine learning and decision support in...

Course Reviews

Average Rating Based on 8 reviews

5.0

100%

Course Cover