Artificial Intelligence is transforming healthcare by improving clinical decision-making, strengthening patient care, and increasing operational efficiency. This course gives healthcare professionals a practical, non-technical understanding of how AI and digital technologies can be used responsibly in real-world clinical environments. Instead of focusing on coding or building AI systems, the course explains how AI can support clinicians, improve workflows, and contribute to better healthcare delivery.

Learners will explore how AI is applied across diagnostics, clinical decision support, patient monitoring, care coordination, documentation, and hospital operations. The course highlights the importance of using AI as an assistive tool rather than a replacement for clinical judgment. Through practical examples, real-world case studies, hands-on activities, and role-play exercises, learners will understand how to evaluate AI-enabled solutions, identify suitable use cases, redesign clinical workflows, and support successful digital transformation initiatives.
The course also addresses the human and organizational side of AI adoption, including clinician trust, change management, training needs, workflow alignment, and leadership responsibilities. Learners will gain insight into how healthcare teams can prepare for AI integration while maintaining accountability and patient-centered care.

In addition, the course examines essential ethical, regulatory, and governance considerations, including bias, transparency, explainability, privacy, accountability, and risk management. By the end of the course, learners will be able to assess, apply, and advocate for responsible AI solutions that improve care quality, enhance efficiency, and maintain patient safety and trust. This course is ideal for clinicians, healthcare administrators, care coordinators, and digital health professionals seeking to understand and lead AI-enabled transformation in clinical practice.