Artificial Intelligence in Healthcare and Clinical Practice

Modern healthcare is evolving rapidly as artificial intelligence transforms diagnostic support, administrative workflows, and medical research. This course provides a comprehensive, text-based introduction to understanding and adopting artificial intelligence in everyday clinical practice. You will learn how to leverage language models and digital health tools safely, efficiently, and ethically. What you'll learn: Understand fundamental artificial intelligence terminology, machine learning principles, and their specific applications in healthcare. Apply prompt engineering techniques to summarize medical literature, streamline clinical documentation, and draft patient communications. Evaluate AI-powered decision support tools with a critical focus on clinical validity, hallucination risks, and algorithmic bias. Navigate patient data privacy, confidentiality standards, and regulatory compliance when using digital tools. Explore modern healthcare technology concepts, including retrieval-augmented knowledge bases and predictive clinical analytics. The course begins with core terminology and ethical foundations before walking you through practical, real-world healthcare scenarios and workflow optimization. Designed for physicians, healthcare professionals, clinical administrators, and medical students, this course requires no prior programming or computer science experience. Start reading today to integrate intelligent technologies into your medical practice.