Insight

Intelligent Data Categorisation: New Insights for Healthcare

As the NHS continues to evolve, the ability to make sense of its rich data landscape is becoming central to delivering more integrated, efficient and patient-focused care. While huge volumes of information flow through the system every day, much of it remains unstructured or inconsistent, making it harder to unlock the full value it holds. With the Federated Data Platform, neighbourhood models and system-wide collaboration all gaining momentum, the opportunity to improve data quality and insight has never been more timely. Recent advances in artificial intelligence offer a new way forward, making it easier to standardise, organise and act on complex data in a way that supports operational priorities and frontline care.

Intelligent data categorisation applies AI to bring greater clarity and structure to information across both clinical and non-clinical settings. It enables NHS organisations to quickly gain visibility over key areas of spend, operations and activity, supporting informed decisions and more efficient resource use. By reducing the time spent on repetitive tasks like clinical coding or manual data mapping, it also helps to protect staff capacity and focus efforts where they are needed most. In the context of the Federated Data Platform, this approach can play a vital role in aligning legacy systems with new national standards, simplifying transitions and accelerating access to benefits.

Drawing on our experience with over 20 NHS trusts, regional partnerships and national programmes, our report presents real-world case studies and proven methodologies to implement categorisation at scale. It outlines how to identify high-impact data domains, embed validation into operational processes and align technical tools with organisational goals.

As organisations look for practical ways to reduce costs, improve system integration and make better use of their information, categorisation presents a powerful starting point that is already delivering results in real-world settings. By embracing a more intelligent, structured approach to data, the NHS can strengthen decision-making, free up vital capacity and lay the foundations for a more connected and responsive future.

To find out more download our report here: Intelligent Data Categorisation

Contact our experts

Harry Style

Senior Data Scientist