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Digital Health & AI
AI at Work in Healthcare: What It Means for Your Role
A plain-language grounding in clinical AI for the people who have to use it.
foundation150 min5 lessons
What you'll learn
- Differentiate rule-based, predictive and generative tools by behaviour
- Identify plausible-but-wrong output in a described AI interaction
- Recognise a source of bias in a described clinical AI deployment
- Apply a verification step appropriate to a given AI output
- Evaluate whether a described task suits AI assistance
- Describe where professional accountability sits when AI advice is followed
Course content
5 modules · 5 lessons
1. What These Systems Actually Do
- What These Systems Actually DoPreview30m
2. Why AI Gets Things Confidently Wrong
- Why AI Gets Things Confidently Wrong30m
3. Bias and Training Data
- Bias and Training Data30m
4. Your Accountability
- Your Accountability30m
5. Using It Well
- Using It Well30m