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Guide

AI readiness assessment for NHS trusts and ICBs

A practical four-tier framework for getting your data, culture, and governance ready for AI in patient safety
  • NHS trusts
  • ICBs
  • 30 minute read
  • UK

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Is your trust ready for the NHS's AI decade?

The NHS 10 Year Health Plan, published in July 2025, commits the service to becoming "the most AI-enabled health system in the world". The Spending Review backed that ambition with £10 billion for technology and digital transformation by 2028-29. AI is already in live clinical use in 100% of stroke units and 50% of hospital trusts through the AI Diagnostic Fund. The strategic direction is no longer in dispute. The execution gap is.

Lord Darzi's 2024 independent investigation described the NHS as being in the "foothills" of digital transformation. A 2025 Lancet eClinicalMedicine evaluation of the £21 million chest imaging AI deployment found that 18 months after contracting, a third of participating trusts still hadn't put the tools into clinical use — and the primary barriers were not technology failures, but workforce readiness, integration, and change management gaps.

This guide lays out a practical four-tier framework — Data, Culture, Governance, Activation — that gets your trust ready for AI in patient safety without waiting for the perfect EHR or the next funding cycle. The work that makes AI defensible is the same work that strengthens your LFPSE submissions, your PSIRF learning responses, and your CQC well-led evidence. None of it is wasted.

Key takeaways — what you'll learn

  • A four-tier readiness framework — Data, Culture, Governance, Activation — with practical checklists for each tier
  • How to audit and standardize your incident taxonomy against LFPSE V6.0, PSIRF, and ICS-level requirements
  • A complete AI governance landscape: CQC, DSPT, DCB0129/DCB0160, WGLL, DUAA, AIDRS, MHRA AI Airlock, and the UK National Commission on AI in Healthcare
  • How to align your trust with the AI for Care direction the 10 Year Plan now requires, without waiting for the National EHR
  • The performance metrics — including LFPSE submission quality and Clinical Safety Case currency — that make your AI deployment defensible at your next CQC assessment

Practical AI for Patient Safety: A Guide for Healthcare Leaders

Unlock actionable insights from incident data in minutes, not weeks: leveraging thematic analysis and intelligent automation to strengthen safety culture and recover thousands of clinical hours.