Many of our team recently attended a joint hackathon between NHS England, the Department for Health and Social Care, and and NHS Business Services Authority. This blog documents some of the highlights from the day!
Sofia Alabi reflects on her internship at NHS England, where she built a pipeline to test whether the Predicted Length of Stay model performs fairly across sex, ethnicity, age group and BMI, and what it taught her about the limits of fairness metrics.
Innovation always benefits from strong communities that connect practitioners across the NHS, government, academia and research institutions. This article explores how DARE UK-funded communities such as ITALO, SPRINT and the UK Data Linkage Community are helping to advance data linkage quality, public engagement and methodological innovation, and how the NHS England Data Linkage Hub is translating this collaboration into practical tools such as the Pre-Linkage Report and new approaches to transparent, trustworthy data linkage.
This article introduces an application of the team's synthetic clinical notes dataset, published on Hugging Face. It is a very small agent example, built on purpose to demonstrate the open-source LangGraph framework and to show how little it takes to get started. This agent is engineered to handle autonomous summaries over clinical notes.
I am delighted to share that applications are now officially open for the next cohort of our flagship Data Science Accelerator Programme, running from 13 July to 9 October 2026. Find out more by reading a brilliant blog by Tejal Indulkar about her experience.
Welcome to another instalment of our “Interview with a Data Scientist” series, where we explore the careers and work of the talented data scientists across our healthcare organisations. We aim to showcase the fantastic individuals who contribute to Data Science within the healthcare sector and provide valuable insights for those considering a career in this field.
Today we’re interviewing Simon Wellesley-Miller, a Senior Analytical Manager in the Insights & Intelligence Team at NHS England South West.
Welcome to another instalment of our “Interview with a Data Scientist” series, where we explore the careers and work of the talented data scientists across our healthcare organisations. We aim to showcase the fantastic individuals who contribute to Data Science within the healthcare sector and provide valuable insights for those considering a career in this field.
Today we’re interviewing Jamie Wong, a postdoctoral researcher at University College London and former NHS England Data Science Officer.
It doesn’t usually involve flashy dashboards, cutting‑edge models, or neat Kaggle-style problems. It sits behind the scenes, often unnoticed, quietly doing its job. And yet, without data linkage, much of the data we rely on across NHS England, whether for analysis, planning, research, or direct care, would simply fall apart.
Two of our data scientists, Liz Kelly and Amaia Imaz Blanco, recently spent a Wednesday morning doing speed networking with year 8 and year 10 students at Carlton Keighley organised by @Ahead Partnerships. In our team, outreach like this is incredibly important, and Liz's write-up of her experience is a great reminder of why.
Yes it can – and it can do a remarkably good job!
This article explores our recent work creating synthetic patient pathways, with corresponding clinical notes at every step of the journey. Developed alongside clinicians, these notes could help the development of the next generation of healthcare AI tools. Our full pipeline is available on GitHub.