Course detail
How to safely work with AI in healthcare
This substantial theory-based course explains how artificial intelligence can be used responsibly in healthcare and adult social care in England. Learners explore practical opportunities and limitations, confidentiality, information governance, accuracy, bias, consent, professional accountability, safeguarding, clinical safety, incident reporting and CQC relevance. The examples address care homes, domiciliary care and supported living.
Topics
26
Duration
1.6h
Quiz pass mark
100%
Course structure
Learning path
Topics are completed in order before the final assessment unlocks.
Course Description
1. Understanding artificial intelligence
2. Benefits and limits in health and care
3. Professional accountability and scope
4. Law, regulation and guidance
5. Information governance essentials
6. Confidentiality in prompts and uploads
7. Accuracy, hallucinations and verification
8. Bias, fairness and equality
9. Consent, choice and transparency
10. Safe use for writing and summarising
11. AI in clinical tools and medical devices
12. Medication and treatment safeguards
13. Safeguarding and harmful outputs
14. Responding to AI-supported alerts
15. Cyber security and prompt injection
16. Approved tools and local AI policy
17. Care homes: safe application
18. Domiciliary care: safe application
19. Supported living: autonomy and rights
20. Documentation and audit trails
21. Recognising and reporting incidents
22. Managers: governance and assurance
23. Practical decision process before use
24. Practice scenarios and response
25. Course summary and key learning points
Final quiz
Final step20 questions and 100% required to pass and receive the certificate.
