Generative AI for Healthcare Students and Professionals
Learn to effectively utilize generative AI in healthcare settings while understanding ethical implications and practical applications.
Learn to effectively utilize generative AI in healthcare settings while understanding ethical implications and practical applications.
This comprehensive course introduces healthcare professionals to generative AI applications in medical settings. Through real-world case studies, students explore AI implementations across various healthcare domains, including medical imaging, clinical research, and NHS applications. The curriculum emphasizes responsible AI use, covering bioethics, confidentiality, and humanistic perspectives while examining both current applications and future implications for healthcare delivery.
Instructors:
English
English (Original), हिन्दी (ऑटो), Español (auto), 1 more
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What you'll learn
Understand AI applications in healthcare settings
Analyze real-world clinical case studies
Evaluate ethical implications of AI in medicine
Master responsible AI use in healthcare
Explore NHS applications of AI technology
Develop critical reflection skills
Skills you'll gain
This course includes:
201 Minutes PreRecorded video
6 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 3 modules in this course
The course is structured in three comprehensive modules exploring generative AI's role in healthcare. Beginning with foundational concepts and professional applications, students progress through clinical implementations and NHS use cases. The curriculum combines theoretical knowledge with practical case studies, emphasizing ethical considerations and responsible AI implementation in healthcare settings.
Week 1 - Introduction to Generative AI in Professional Settings
Module 1 · 4 Hours to complete
Week 2 - Clinical Applications
Module 2 · 4 Hours to complete
Week 3 - National Health Service Applications
Module 3 · 4 Hours to complete
Fee Structure
Payment options
Financial Aid
Instructors
Healthcare Technology and AI Education Expert
Dr. Hamish Runciman serves as a faculty member at the University of Glasgow's School of Medicine, where he specializes in integrating artificial intelligence applications in healthcare education and practice. He co-teaches the innovative course "Generative AI for Healthcare Students and Professionals" on Coursera, which provides healthcare practitioners and students with essential knowledge about AI applications in the medical field. The course he helps deliver explores real-world clinical case studies, ethical considerations, and responsible AI implementation in healthcare settings. His expertise focuses on helping healthcare professionals understand and effectively utilize AI tools while maintaining professional integrity and human oversight in medical practice. Through this course, he addresses crucial aspects of AI integration in healthcare, including its applications in medical imaging, clinical decision support, and research, while emphasizing the importance of ethical considerations and patient care quality
Healthcare Education Technology Specialist
Ms. Lauren Duguid serves as an educator at the University of Glasgow's School of Medicine, where she specializes in integrating artificial intelligence applications in healthcare education. She co-teaches the innovative course "Generative AI for Healthcare Students and Professionals," which helps medical students and healthcare practitioners understand and effectively implement AI tools in clinical settings. The course she helps deliver combines practical applications with ethical considerations, focusing on responsible AI implementation in healthcare environments. Her expertise includes developing curriculum materials that bridge the gap between technical AI concepts and practical medical applications, helping healthcare professionals navigate the complexities of emerging technologies while maintaining high standards of patient care. Through her teaching, she addresses crucial aspects of AI integration in healthcare education, including clinical decision support, medical documentation, and maintaining professional standards in an increasingly digital healthcare environment
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Frequently asked questions
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