AI in Healthcare Quality - Advancing Excellence through Innovation

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Authors: Anderson, MSIS, CSSMBB, Michael
Cited by: 0

Abstract

Learning Objectives 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. Recognize Real Applications: Explore proven case studies and emerging trends that are delivering measurable improvements in patients outcomes across diverse care settings. 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. 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.

Fields of Study & Subjects

Artificial Intelligence in Healthcare and Education Artificial Intelligence in Healthcare Artificial Intelligence Applications

Publication details

Journal / source
The Medicine Forum
Publication date
13 January 2026
Language
EN