AI in Healthcare Quality - Advancing Excellence through Innovation

Document Type

Presentation

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Publication Date

1-13-2026

Comments

Presentation: 47:53

Abstract

Learning Objectives

  1. Understand AI's Transformation: Discover how artificial intelligence is revolutionizing healthcare quality, from predictive analysis to real-time decision support systems that augment clinical judgment.
  2. Recognize Real Applications: Explore proven case studies and emerging trends that are delivering measurable improvements in patients outcomes across diverse care settings.
  3. Understand Predictive Insights: Evaluate how AI-driven predictive analytics shift the care model from reactive "find-and fix" medicine to proactive "predict-and-prevent" strategies.
  4. Evaluation Ethics and Governance: Identify the critical frameworks required to manage algorithmic bias, data privacy, and the ethical integration of AI into the clinical workflow.

Language

English

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