GenAI in Healthcare & Life Sciences
About this course
Generative AI is rapidly reshaping healthcare and life sciences. It is extending beyond traditional AI to generate clinical documentation, research insights, patient education materials, and operational workflows at scale. This course explores how AI in healthcare can be applied safely, ethically, and effectively across real-world settings. Designed for clinicians, researchers, administrators, and digital health professionals, this intermediate course requires no coding experience. Through healthcare-specific case studies and hands-on labs using tools such as ChatGPT, you will apply Gen AI in healthcare to clinical decision support, medical imaging, automated documentation, literature review, clinical trial design, drug discovery, patient engagement, revenue cycle management, and HIPAA compliance. Equally important, the course addresses AI risks including bias, hallucinations, privacy, and regulatory oversight so you can evaluate outputs critically and protect patient safety. By the end, you will develop a practical, responsible framework for integrating AI in healthcare across clinical practice, research, and operations.
75/100
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What you'll learn
- Understand the application of generative AI in clinical decision support and medical imaging
- Evaluate AI outputs critically with attention to bias, privacy, and regulatory concerns
- Implement AI tools for automated documentation and literature review
Course objectives
- Explore safe and ethical uses of AI in healthcare
- Develop a framework for integrating AI into clinical practice and operations
- Analyze case studies to learn about AI's impact on patient engagement and clinical workflows
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