Business Use of AI and Machine Learning in Healthcare
Learn to implement AI and ML in healthcare operations, focusing on decision support systems and predictive analytics for improved business outcomes.
Learn to implement AI and ML in healthcare operations, focusing on decision support systems and predictive analytics for improved business outcomes.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Healthcare Trends for Business Professionals Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Determine factors for effective decision support in healthcare ecosystem
Identify business opportunities using journey mapping and pain point analysis
Apply appropriate ML methods to healthcare pain points
Assess decision support opportunities in industry trends
Skills you'll gain
This course includes:
4.5 Hours PreRecorded video
21 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
The course explores the integration of Machine Learning and Artificial Intelligence in healthcare organizations, focusing on business applications and decision support systems. Students learn to identify opportunities for AI implementation, analyze pain points using journey mapping, and apply predictive analytics in healthcare contexts. The curriculum covers key topics including decision support, predictive modeling, consumerism, and advanced operational techniques while emphasizing practical business applications.
Decision Support and Use Cases
Module 1 · 3 Hours to complete
Predictive Modeling Basics
Module 2 · 2 Hours to complete
Consumerism and Operationalization
Module 3 · 2 Hours to complete
Advanced Topics in Operationalization
Module 4 · 4 Hours to complete
Fee Structure
Instructor
Innovating Healthcare Through Machine Learning
Craig is a thought leader, innovator, and entrepreneur who serves as part-time faculty in the Healthcare Informatics graduate program, concentrating on the business applications of machine learning and decision support in healthcare. His career began as a data scientist at NASA’s Jet Propulsion Laboratory, where he developed a communication planning application for deep-space missions, including Pioneer, Voyager, and Galileo. This expertise has allowed him to effectively translate complex technological solutions to healthcare challenges, focusing on prediction, scheduling, planning, resource allocation, and campaign management. Currently, he is the co-founder and Chief Science/Technology Officer at Decision Point Healthcare and also the founder and principal consultant at Synthesis Health Systems.
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4.3 course rating
67 ratings
Frequently asked questions
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