Business Application of Machine Learning and Artificial Intelligence in Healthcare faq

learnersLearners:
instructor Instructor: Craig Johnson instructor-icon
duration Duration: instructor-icon

Learn how to integrate Machine Learning and Artificial Intelligence into the healthcare industry for improved bottom-line impact. Identify the best use cases for AI in healthcare and maximize your return on investment.

Course Feature Course Overview Pros & Cons Course Provider
Go to class

Course Feature

costCost:

Free

providerProvider:

Coursera

certificateCertificate:

Paid Certification

languageLanguage:

English

start dateStart Date:

17th Jul, 2023

Course Overview

❗The content presented here is sourced directly from Coursera platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.

Updated in [April 17th, 2023]

What skills and knowledge will you acquire during this course?
The course will provide students with the skills and knowledge to determine the factors involved in decision support that can improve business performance across the provider/payer ecosystem. Students will also learn how to identify opportunities for business applications in healthcare by applying journey mapping and pain point analysis in a real-world context. Additionally, students will gain the ability to identify differences in methods and techniques in order to appropriately apply them to pain points using case studies. Lastly, students will learn how to critically assess the opportunities to leverage decision support in adapting to trends in the industry.

How does this course contribute to professional growth?
This course contributes to professional growth by providing knowledge and skills in integrating Machine Learning and Artificial Intelligence into the healthcare industry. It helps leaders in the healthcare industry determine the best use of AI applications to solve problems that impact the bottom line. The course covers decision support, journey mapping, predictive analytics, and embedding Machine Learning and Artificial Intelligence into healthcare.

Is this course suitable for preparing further education?
This course is suitable for preparing further education as it focuses on the business application of Machine Learning and Artificial Intelligence in healthcare. It aims to help leaders in the healthcare industry determine the best use for these technologies and focus their investment on solving problems that impact the bottom line. The course covers topics such as decision support, journey mapping, predictive analytics, and embedding Machine Learning and Artificial Intelligence into the healthcare industry. By the end of the course, students will be able to determine factors involved in decision support, identify opportunities for business applications in healthcare, identify differences in methods and techniques, and critically assess opportunities to leverage decision support in adapting to industry trends.

Pros & Cons

Pros Cons
  • pros

    Interesting topic and basics covered

  • pros

    Good examples

  • pros

    Innovative technology and management

  • pros

    Informative for beginners

  • pros

    Emphasis on business uses

  • pros

    Solid course

  • cons

    Repetitions

  • cons

    Assignments not reviewed on time

  • cons

    Instructor depersonalised

  • cons

    Examples could be better

Course Provider

Provider Coursera's Stats at OeClass