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University of Colorado System

The data to decision path for infusion of AI in healthcare

University of Colorado System via Coursera

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Overview

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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

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