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Choosing Platforms

Choosing AI Platforms

Attribution

Original work: "Educators' guide to multimodal learning and Generative AI" — Tünde Varga-Atkins, Samuel Saunders, et al. (2024/25) — CC BY-NC 4.0
Adapted for UK Nursing Education by: Lincoln Gombedza, RN (LD)

Selecting the right AI platform is a critical decision for nursing educators. The landscape is rapidly evolving, so we categorise tools into three main buckets to help you decide.

The AI Tool Landscape​

Select a guide to dive deeper:

📊 Tool Comparison

A head-to-head of Microsoft 365 Copilot, ChatGPT, Claude, Gemini and Perplexity.

✅ Selection Criteria

A checklist of educational, technical, and ethical requirements.

🏛️ Institutional Considerations

Guidance on procurement, data protection (UK GDPR), student access and change management.


Key Considerations for Nursing​

When choosing a platform, nursing educators must prioritize:

  • 🩺 Clinical Accuracy: Does the model produce reliable medical information?
  • 🛡️ Ethical Safety: Does it protect patient and student data?
  • 📜 NMC Alignment: Does it support the development of required nursing proficiencies?
  • ♿ Accessibility: Is it usable for all students, regardless of disability, technical skill or financial means?
Start with what you already have

Most NHS staff are getting Microsoft 365 Copilot through NHS England's national rollout (about 505,000 staff by October 2026), and many universities provide Copilot or other tools to students. An approved institutional tool is usually the safest starting point, because its data protection terms have already been checked. See Institutional Considerations.