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Platform Selection Criteria

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)
Last Updated: December 2025

When evaluating an AI tool, use these four key lenses to ensure it supports safe, effective nursing education.

1. Pedagogical Capability​

🎓

Clinical Accuracy

  • Medical Knowledge: Does it provide accurate nursing theory and pathophysiology?
  • Tone: Can it simulate empathetic, professional patient interactions?
🧠

Reasoning Depth

  • Complexity: Can it handle "What if?" scenarios requiring clinical judgment?
  • Multimodal: Does it support text, image, or audio as needed?

2. Technical & Sustainable​

⚙️

Infrastructure

  • Access: SSO integration, mobile app availability?
  • Stability: Reliable during peak exam/workshop times?
  • Integration: API support for existing VLEs?
🌱

Sustainability

  • Cost: Predictable pricing models for academia?
  • Green AI: Provider commitment to net-zero operations?
  • Scale: Supports 200+ concurrent students?

3. Ethical & Legal Standards​

NMC Code Compliance

Nursing education tools must adhere to professional standards.

🛡️ Data Security

  • GDPR: Is data stored in the UK/EU?
  • Training: Is student data used to train the model? (Should be 'No').
  • IP: Who owns the output?

⚖️ Fairness & Bias

  • Diversity: Does it handle diverse patient demographics correctly?
  • Transparency: Is it clear when content is AI-generated?

✅ Evaluation Checklist​

Quick Scan for Educators

Before introducing a tool, confirm:

✅ Accuracy: Tested on complex topics?

✅ Security: Meets privacy verification?

✅ Accessibility: Usable by all students?

✅ Professionalism: Aligns with NMC Code?

Next: Learn about Institutional Considerations for deployment.