2 hours
Meet your CPD requirements while staying ahead in AI and healthcare.
teacher feedback
Receive personalised feedback to to ensure you’re applying the concepts correctly and effectively.
self-paced learning
Designed to fit into your busy schedule.
Join the waiting list to be notified when the Responsible Use of AI in Healthcare: Navigating Ethics and Bias course is available in June 2025.
Use AI ethically and responsibly in healthcare
Here’s what you’ll learn in this CPD training.
ETHICAL AI USE IN HEALTHCARE
Learn the core principles of ethical AI use and how to navigate the challenges specific to healthcare settings.
ADDRESSING BIAS IN AI
Understand how to evaluate and mitigate bias in AI-generated healthcare content, ensuring inclusive and culturally sensitive communication.
PROTECTING PATIENT PRIVACY
Master strategies for safeguarding patient privacy and confidentiality when using AI tools, in compliance with healthcare data protection standards.
BUILDING TRANSPARENCY
Develop transparent processes for communicating AI use with patients and colleagues, fostering trust and understanding.
QUALITY CONTROL AND VERIFICATION
Learn to implement robust quality control measures and systematic verification protocols to ensure the accuracy and reliability of AI outputs.
PRACTICAL APPLICATION
Engage in hands-on exercises, case studies and real-world scenarios to apply your learning and refine your ethical AI practices in healthcare.

Ethical AI for better healthcare
Develop practical skills for ethical, responsible AI use in healthcare settings, with focus on privacy, fairness and transparency.
Who is this training for?
This training is for healthcare professionals who want to use AI tools ethically, responsibly and without bias.
Whether you’re a clinician implementing AI in patient care, a practice manager overseeing AI adoption or a healthcare communicator using AI tools, these principles will help you maintain high ethical standards, mitigate bias, and leverage AI’s capabilities effectively.
Why do you need it?
As AI becomes increasingly prevalent in healthcare, understanding how to use it ethically and without bias is crucial.
This training helps you navigate complex privacy requirements, address potential biases and maintain transparency. Learn to harness AI’s benefits while protecting patient interests, minimising bias and building trust in your work.
Training purpose
This training will show you how to:
- Apply ethical principles to AI use in healthcare
- Protect patient privacy and confidentiality
- Identify and address potential biases
- Maintain transparency about AI use
- Build trust with patients and colleagues
- Implement responsible AI practices
Join the waiting list to be notified when the Responsible Use of AI in Healthcare: Navigating Ethics and Bias course is available in June 2025.
Key inclusions
CPD CERTIFICATE
QUIZZES & PRACTICAL EXERCISES
TEACHER FEEDBACK
HANDOUTS & DOWNLOADS
BONUS CONTENT
UNLIMITED ACCESS
Your trainer
Hi – I’m Michelle Guillemard. For over a decade, I’ve specialised in teaching health communication courses, and now I’m focusing on helping healthcare professionals navigate responsible use of AI in healthcare.
I understand the critical importance of maintaining high professional standards while adopting new technologies, which is why my courses designed to give you practical, evidence-based approaches to using AI responsibly and effectively.
Course outline
Welcome, about this Ethical Use of AI in Healthcare course, and your complete training outline and learning objectives.
Video: Core principles of ethical AI use & Fundamentals of AI content generation
- Key ethical considerations
- Common challenges
- Risk assessment
Download
- Comprehensive ethical and content evaluation framework
Practical activity
- Reflect on ethical dilemmas in AI healthcare applications
Quiz
- Test your knowledge
Video: Protecting sensitive information and understanding AI mistakes
- Healthcare privacy requirements
- Data handling best practices
- Security protocols
Download
- Case studies: Privacy breach examples, prevention and real-world AI errors in healthcare contexts
Practical activity
- Privacy risk assessment and identifying errors in AI-generated content
Quiz
- Test your knowledge
Video: Addressing bias in AI-generated content
- Types of bias: Cultural, demographic, medical condition stigma, language bias
- Ensuring fairness and inclusivity in AI outputs
Download
- Bias detection checklist
Practical activity
- Analyse AI-generated content for bias and reword prompts to reduce bias and improve inclusivity
Quiz
- Test your knowledge
Video: Building trust through transparency and maintaining professional standards
- Communicating AI use, documentation requirements and patient discussions
- Professional responsibilities and ethical decision-making in AI applications
Download
- Transparency templates, accountability frameworks and verification audit trail
Practical activity
- Develop ethical guidelines and review processes
Quiz
- Test your knowledge
Video: Techniques for improving AI content quality and quality control measures
- Writing effective prompts, setting constraints and ensuring accuracy
Download
- Quality control checklists and best practices for AI content improvement
Practical activity
- Rewrite problematic content, develop error-prevention strategies
Quiz
- Test your knowledge
Certificate of completion
Downloadable toolkit:
- Ethical guidelines
- Privacy checklists
- Transparency templates
- Decision-making frameworks
Recommended reading: Useful resources
Next steps: Continue the journey
Learning outcomes
By the end of this training, you will be able to:
Quality assurance
Health AI CPD strives for the highest level of content integrity and accuracy in our educational resources.
Join the waiting list to be notified when the Responsible Use of AI in Healthcare: Navigating Ethics and Bias course is available in June 2025.
Frequently asked questions
The training fee costs $70 USD.
USING AI ETHICALLY IN HEALTHCARE
AI ethics and bias made simple: Your guide to responsible healthcare AI.
This CPD activity provides practical strategies for mastering the essential principles of responsible AI use through practical, real-world examples.
