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.
Program overview
Almost every AI course in healthcare is written for analysts and executives. This one is written for the nurse, pharmacist, radiographer or administrator who has just been told a new tool is arriving on their unit. It explains in plain language what these systems do, where their outputs come from, why they are confidently wrong sometimes, what training data and bias mean in practice, and what your professional responsibility is when you use one. No mathematics, no coding, no hype — just the working knowledge required to use these tools without being misled by them.
Why this program
Written for frontline users, not analysts
No mathematics or coding required
Focused on professional responsibility when using AI
Direct answers to the questions staff actually ask
Who it is for
Program objectives
- Describe in plain terms how clinical AI systems generate their outputs
- Explain why an AI tool can be confidently and plausibly wrong
- Identify where bias enters a clinical AI system
- Describe your professional accountability when acting on an AI output
- Recognise the tasks AI performs well and those it performs badly
- Apply a basic verification habit to AI-generated content
Learning outcomes
- 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
Curriculum
Module 1: What These Systems Actually Do
1 lessonsWhat These Systems Actually DoPreview
Prediction, pattern-matching and generation, without the mathematics.
Module 2: Why AI Gets Things Confidently Wrong
1 lessons- Why AI Gets Things Confidently Wrong
Module 3: Bias and Training Data
1 lessons- Bias and Training Data
Module 4: Your Accountability
1 lessons- Your Accountability
Module 5: Using It Well
1 lessons- Using It Well
Duration and structure
5 lessons across 5 modules. Duration is expressed in study hours.
What you receive
This certificate confirms completion of AI at Work in Healthcare: What It Means for Your Role. Duration is expressed in study hours.
Delivery format
- Self-paced — start any time.
- Study on any device.
- Lifetime access to the version you enrolled in.