Course Code: AX-HLT-002

AI in Healthcare

Applications, Governance & Ethics: Harnessing Artificial Intelligence for Smarter, Safer and More Patient-Centered Healthcare

$4,500.00

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Course Overview

Artificial Intelligence is rapidly transforming healthcare by improving clinical decision-making, patient services, operational efficiency, predictive analytics and resource management. Healthcare professionals increasingly need to understand not only what AI can do, but also how to evaluate, implement and govern AI responsibly.

This course provides participants with a practical understanding of AI applications across healthcare, including generative AI, machine learning, predictive analytics and intelligent automation. It also addresses critical issues such as data privacy, bias, transparency, cybersecurity, ethics and human oversight.

Learning Objectives

  • Explain the fundamentals of Artificial Intelligence and its relevance to healthcare
  • Identify major AI technologies and applications across healthcare
  • Evaluate opportunities for AI implementation in healthcare organizations
  • Apply Generative AI tools to healthcare-related tasks
  • Interpret AI-generated predictions, insights and recommendations
  • Identify data requirements and quality considerations for AI projects
  • Assess ethical, legal, privacy and cybersecurity risks associated with AI
  • Recognize bias, transparency and explainability issues in AI systems
  • Develop an AI governance and oversight approach
  • Prepare a practical roadmap for responsible AI adoption in healthcare

Who Should Attend

  • Healthcare executives
  • physicians
  • healthcare managers
  • clinical and administrative professionals
  • health information professionals
  • data analysts
  • digital-health professionals
  • IT managers
  • quality professionals and anyone involved in healthcare transformation

Course Outline

This course covers the following core modules:

  • AI Fundamentals in Healthcare
  • AI Applications Across Healthcare
  • Generative AI in Healthcare
  • AI Data, Models and Decision-Making
  • Ethics, Governance and Risk
  • Implementing AI in Healthcare

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