Foundations of Applied AI and Analytics in Healthcare

1 Unit · Graduate

This foundational course introduces Master of Health Informatics students to core principles of artificial intelligence (AI) and data analytics within healthcare. Designed explicitly for health informaticists, rather than technical data scientists, the course emphasizes conceptual understanding and practical applications of AI-driven tools and analytics in healthcare settings. Students will learn to effectively communicate and collaborate with healthcare data analysts, understand roles and workflows related to analytics projects, and develop essential algorithmic thinking skills critical for clinical informatics practice and AMIA board certification. Key topics include predictive analytics, clinical decision support systems, AI-driven patient care innovations, ethical considerations, and navigating regulatory landscapes in healthcare analytics. By completing this course, students will gain essential AI literacy, enabling them to strategically leverage AI and analytics solutions to enhance patient outcomes and healthcare efficiency.