Generative AI in Healthcare: Responsible Decision Making Online distance learning
Equip yourself with critical skills to work safely and effectively with generative AI in healthcare. Through scenario-based learning, you'll master effective prompting, evaluate AI outputs for bias and hallucinations, and most importantly, learn when to trust AI and when human judgment must override it.
- Length: 4 weeks; 3 - 4 hours per week
- Start date: anytime
- Intermediate level; develops critical evaluation skills for AI in healthcare
Why this course
Nearly half of clinicians are already using AI for work-related purposes, but many lack the frameworks to use it safely. This course focuses on hybrid human-AI decision-making, teaching you to master effective prompting strategies and critically evaluate AI outputs for bias and hallucinations. Through realistic scenarios in clinical planning, resource allocation, and risk assessment, you'll learn to design safer, more equitable workflows that combine AI's analytical power with human insight and accountability. Whether you're a healthcare student, clinician, manager, or policy professional, you'll explore the principles and limitations of AI tools across different contexts, and examine emerging issues including data privacy, AI washing, and representation gaps. By course completion, you'll have practical frameworks for evaluating AI systems critically and the confidence to advocate for responsible, human-centred AI adoption in healthcare.
How to register
Register nowRegistration for this course is free: charges may apply for additional features and extended study.
