RUCTURED
EDUCATION: RS FOR DOPTION IN NTS
Joanne Atkinson, Blue Light Business Development Manager at Node4
Most discussions about AI in healthcare focus on chatbots, Copilots and user interfaces rather than the systems and data structures behind them. That’ s not unique to this sector. Node4’ s last Mid- Market Report found that AI-powered assistants and Copilots were the joint most popular AI deployment among IT leaders. Yet two out of every five respondents identified data quality and availability as one of the biggest barriers to AI adoption.
The research demonstrates the same underlying tension that will be familiar across much of the NHS: enthusiasm for AI adoption must be matched by a financial and cultural commitment to improve data quality, connect the systems that underpin it, define how AI can use approved information within existing processes and control who or what has access to the responses. Without this vital preparatory work, AI tools and systems risk being installed in environments that are not ready to support them.
That focus is understandable. For many organisations – including NHS trusts – chatbots, Copilots and user interfaces are the first AI use case because they’ re the most visible. But the interface is only the visible layer of a much larger operational system.
So, as Agentic AI moves towards mainstream adoption, there’ s a conversation to be had about how to use the technology to connect disparate data sources, automate manual information retrieval processes and surface answers. Users may still interact with the technology via a prompt but the potential productivity gains come from the work happening behind the scenes.
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