Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

University of Colorado System

The data to decision path for infusion of AI in healthcare

University of Colorado System via Coursera

Go to class Write review

Overview

Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
This course explores AI’s role in healthcare decision-making, focusing on data integration, predictive intelligence, and operational impact. Learners will examine AI’s use in clinical and administrative functions, data governance, and workflow integration. Through real-world examples, they will gain insights into AI’s potential, challenges, and strategic implementation in healthcare.

Syllabus

  • The Role of AI in the Data-Information-Analysis-Decision (DIAD) Process in Healthcare
    • Covers how AI supports the DIAD pipeline, from raw data to informed healthcare decisions.
  • Emphasizing Analytics in DIAD for Healthcare
    • Focuses on the centrality of analytics in transforming data into actionable insights for healthcare.
  • AI and ML-Relevant Algorithms for Healthcare Models
    • Introduces fundamental AI and machine learning algorithms widely used in healthcare applications.
  • AI-Relevant Complex Algorithms for Healthcare Models
    • Explores advanced AI algorithms designed for complex healthcare modeling challenges.

Taught by

Jiban Khuntia

Tags

Reviews

Start your review of The data to decision path for infusion of AI in healthcare

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.