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Course · about 2 hours · Clinicians and healthcare managers

AI and Digital Health: Ethics, Consent and Records

Use AI and digital tools safely, lawfully and openly: which tools you can use, how to check their output, what to tell patients and what goes in the record.

  • 2 hours of learning
  • Online, self-paced
  • Certificate of completion

Who this course is for

  • Doctors, nurses, midwives and nursing associates
  • Allied health, pharmacy, dental and optical professionals
  • Osteopaths and chiropractors using digital tools in practice
  • Clinicians using or piloting ambient voice technology
  • Managers, clinical safety officers and digital leads choosing or overseeing tools

What the course covers

  1. AI and Digital Health in Context
    • 1.1 What We Mean by AI in Health Care
    • 1.2 The Potential Benefits
    • 1.3 The Specific Risks
    • 1.4 Accountability Stays With You
  2. The UK Regulatory Landscape
    • 2.1 The UK's Approach to Regulating AI
    • 2.2 When AI Is a Medical Device
    • 2.3 Clinical Safety and Evidence Standards
    • 2.4 Data Protection and Automated Decisions
  3. Using AI Tools Safely in Practice
    • 3.1 Use Approved Tools Only
    • 3.2 Avoiding Automation Bias
    • 3.3 Using Generative AI Responsibly
    • 3.4 Bias, Errors and Reporting
  4. Consent, Transparency and Patient Trust
    • 4.1 Telling Patients About AI
    • 4.2 Ambient Voice Technology in Consultations
    • 4.3 Explaining AI-Supported Decisions
    • 4.4 Patient-Facing AI and Self-Care
  5. Records and Documentation in a Digital World
    • 5.1 AI-Generated Notes Are Your Notes
    • 5.2 Recording the Use of AI
    • 5.3 Records Management and Patients' Rights
    • 5.4 Data for Developing and Evaluating AI
  6. Governance, Security and Ethical Leadership
    • 6.1 Organisational Governance of AI
    • 6.2 Cyber Security and Digital Resilience
    • 6.3 Skills, Judgement and Deskilling
    • 6.4 Raising Concerns and Leading Ethically

An AI in healthcare ethics course for everyday clinical use

This AI in healthcare ethics course is for UK professionals who already use, or are about to use, artificial intelligence and digital tools at work: ambient scribes that draft notes, risk scores, image analysis, generative AI for letters and leaflets, and the symptom checkers patients bring with them. It focuses on what you personally need to do to use them safely, lawfully and honestly.

The central message is that accountability stays with you. If you approve a note an ambient scribe drafted, it is your note; if a risk tool shapes your decision, the decision is yours. The course explains the specific risks that make this matter, including bias against under-represented groups, hallucinated content and automation bias, and the habits that guard against them.

It is designed to take approximately 2 hours, including reflection and a 15-question assessment, and is self-paced. It covers the UK's principles-based approach to AI regulation, MHRA rules on software as a medical device, NHS England's guidance on ambient scribing and the Data (Use and Access) Act 2025. Healthcare Practise UK is an independent provider and is not affiliated with any regulator, the MHRA or the NHS.

Regulation and standards covered

SourceWhat the course explains
UK Government: A pro-innovation approach to AI regulation (2023)Why there is no single AI law for health care, and the cross-sector principles regulators apply
MHRA: Medical Devices Regulations 2002 and software and AI as a medical device guidanceWhen intended purpose makes a tool a medical device, and the AI Airlock sandbox
NHS England: ambient scribing guidance, DCB0129, DCB0160 and DTACPrivacy information and the chance to object, clinical safety officers, hazard logs and safety cases
NICE Evidence Standards FrameworkThe evidence expected of digital health technologies
UK GDPR, Data Protection Act 2018, Data (Use and Access) Act 2025Lawful basis for direct care, DPIAs, automated decisions, subject access and rectification, section 251 and the national data opt-out
Montgomery v Lanarkshire Health Board (2015) and GMC Decision making and consentWhen to tell patients an AI tool influenced a recommendation
GMC, NMC, HCPC, GDC, GPhC, GOC, GOsC and GCC standardsExisting duties of competence, accurate records, confidentiality and honesty, which apply in full

What the six modules cover

  1. AI and digital health in context. Machine learning, generative AI and ambient voice technology explained plainly; potential benefits; the specific risks; and why accountability does not transfer to a tool.
  2. The UK regulatory landscape. The principles-based approach, when AI is a medical device, clinical safety and evidence standards, and data protection rules on automated decisions.
  3. Using AI tools safely in practice. Approved tools only and the risk of "shadow AI", forming your own view before reading the output, checking every reference a generative tool suggests, and reporting bias and errors.
  4. Consent, transparency and patient trust. Telling patients about AI, introducing an ambient scribe and switching it off when asked or when a patient begins a sensitive disclosure, explaining AI-supported decisions, and advising patients who use chatbots and apps.
  5. Records and documentation in a digital world. AI-generated notes are your notes, recording when AI materially influenced a decision, records management codes, subject access and corrections when patients read notes in the NHS App, and data used to develop AI.
  6. Governance, security and ethical leadership. Organisational AI policies, the Data Security and Protection Toolkit and phishing, protecting clinical skills against deskilling, and raising concerns, including Yellow Card reports for devices.

A quick-reference guide sets out seven checks, from "Is it approved?" to "Something went wrong?", with phrases such as "I use a secure tool to help with my notes. I check everything it writes. Is that OK with you today?"

Reflection, assessment and your certificate

Reflection points run through each module. The reflective account at the end asks what you learned about the benefits, risks and regulation of AI, how you will use tools more safely in your own practice, and what you will change about consent, transparency and record keeping.

The 15 scenario questions include a GP pasting a full history into a free public chatbot, a healthcare assistant whose instinct contradicts a low deterioration score, a clinician who approved a scribe note recording no penicillin allergy, and a trainee who has stopped reading chest X-rays herself. The pass mark is 12 (80%), and you can retake after revisiting the relevant sections. You receive a certificate of completion from Healthcare Practise UK.

Record the time you actually spend as CPD and keep your certificate with the reflection. Organisations deploying AI set their own training requirements for specific tools; this course supports general awareness.

How individuals and organisations use it

Before an ambient scribe rollout. Teams use modules 4 and 5 so that everyone introduces the tool the same way, records objections and reviews drafts line by line. See training for organisations for team accounts.

For digital and governance leads. Modules 2 and 6 give a clinician-level overview of DCB0160, DPIAs and procurement questions to sit alongside formal clinical safety training.

For individual CPD. The reflective account is a practical record for appraisal or revalidation. If an AI-assisted note has caused a records concern, the documentation course covers record standards in more depth; panels make their own decisions about insight and remediation.

See our clinical ethics and law courses, browse the catalogue, or try the which course do I need tool.

Frequently asked questions

Do I need technical knowledge to take this AI course?

No. It explains machine learning, generative AI and ambient voice technology in plain terms and focuses on clinical, ethical and legal practice rather than how the tools are built.

Does it cover ambient scribes?

Yes. It covers NHS England's guidance on ambient scribing products, how to introduce the tool to patients, when to switch it off, and your responsibility to review and correct every draft before approving it.

Can I use ChatGPT or other public AI tools with patient information?

The course explains why identifiable patient information should never go into tools your organisation has not approved, and how to use general tools safely for non-confidential tasks.

Do I have to tell patients when AI was involved?

The course explains the difference between the lawful basis for processing data and patient agreement, and when patients would want to know that an AI tool influenced a recommendation, drawing on Montgomery and GMC consent guidance.

How long does it take?

It is designed for approximately 2 hours, including reflection and a 15-question scenario assessment with a pass mark of 12 (80%). It is self-paced.

Is this course approved by the NHS or a regulator?

No. Healthcare Practise UK is an independent provider and the course has not been reviewed by any regulator or the NHS. It supports awareness and CPD; check your employer's requirements for specific tools.

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