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Beyond text

  • Nurses
  • Educators
  • Practice development leads

Video and avatars

AI video and avatars in nursing education: script verification, transparency labels, caption accuracy, and deepfake awareness
Script First

Write and clinically verify the script from UK guidance before generating any video or synthetic voice.

Transparency Duty

Under EU AI Act Article 50 & NHS good practice, clearly label synthetic presenters, avatars, and voices.

Deepfake Vigilance

Support patients who bring convincing fake clinician videos by checking verified NHS/charity sources together.

AI can now produce short videos from a script, add a synthetic presenter or voice, and animate diagrams. It can also produce convincing fakes.

Where it helps vs. where it can cause harm​

Where it can help
  • Staff training: Short explainers on a process, a policy change or a piece of equipment, quickly updated when things change.
  • Patient information: A short "what to expect" video before a procedure, alongside — not instead of — a human conversation.
  • Simulation: Video-based scenarios for practising clinical recognition and response.
Key clinical & ethical risks
  • False authority: A polished video with a synthetic presenter feels authoritative even when the clinical script is wrong.
  • Likeness & consent: Never clone the voice or face of a real person without explicit consent and organisational approval.
  • Deepfakes: Fake clinician videos promoting unsafe treatments or misinformation.

Where it can cause harm​

RiskWhat it means for nurses
False authorityA polished video with a professional-looking presenter feels authoritative even when the content is wrong.
Likeness and consentNever create an avatar or voice clone of a real person, including yourself, colleagues or patients, without explicit, informed consent and your organisation's approval.
DeepfakesFake videos or voices of clinicians, celebrities or officials promoting treatments, scams or misinformation.
AccessibilityVideos without accurate captions, transcripts or audio description exclude people. Auto-captions on clinical terms are often wrong.

Deepfakes and the people you care for​

People may bring you health claims from convincing videos: a "doctor" recommending a supplement, a "celebrity" promoting a weight-loss drug, or a fake NHS announcement. A useful approach:

  1. Take it seriously. The person found it convincing, and that's understandable.
  2. Check the source together. Is it from a verified NHS, charity or professional channel?
  3. Point to trusted sources such as NHS.uk and relevant charities, and explain why you trust them.
  4. Report it where it's a scam or dangerous, through the platform and, where relevant, to your organisation's communications team.

Good practice if you make videos​

  1. Script first, from an authoritative source, and have the script checked before any video is made.
  2. Label AI-generated presenters and voices clearly.
  3. Caption and transcribe, and check captions for clinical terms.
  4. Date the video and set a review date, because guidance changes.
  5. Never imply a real person said something they didn't.
Quick Clinical Self-Check

An educator uses an AI avatar tool to create a 2-minute 'What to expect before your endoscopy' explainer video from an approved hospital leaflet. Before sharing the video, which checks are essential?