Skip to content

Article and Blog posts

Interview with a Data Scientist - Blowing the Trumpet for Data Science

Welcome to the second installment of our “Interview with a Data Scientist” series, where we explore the careers and work of the talented members of the NHS England Data Science team. We aim to showcase the fantastic individuals who contribute to the NHS England Data Science Profession and provide valuable insights for those considering a career in Data Science within the healthcare sector.

This week, we have the pleasure of hearing from Sarah Culkin, the Deputy Director of the Data Science team. Leveraging her experience in both health and data, Sarah is leading the charge to support the digital transformation of the NHS and champion the growth of data science as a vital profession across the organisation.

This interview orginally was published in the April edition of the Data Science Community for Health and Care Newsletter. You can subscribe and join the community here.

Interview with a Data Scientist - The Aerospace Engineer who Loved Spreadsheets

Welcome to the first installment of our “Interview with a Data Scientist” series, where we explore the careers and work of the talented members of the NHS England Data Science team. We aim to showcase the fantastic individuals who contribute to the NHS England Data Science Profession and provide valuable insights for those considering a career in Data Science within the healthcare sector.

The first interview is with Joe Wilson, a former Engineer whose desire to make the perfect F1 Fantasy Team during the COVID pandemic drove him to become a Data Scientist who won’t stop talking about Reproducible Analytical Pipelines.

This interview orginally was published in the March edition of the Data Science Community for Health and Care Newsletter. You can subscribe and join the community here.

Driving Responsible Data Science: A Case Study of NHS England's Data Science Team

This is a reproduction of the case study completed by the NHS England Data Science Team as a part of the Turing Experts in Residence programme. The original can be found at this website

The NHS is built on values of fairness, trust, compassion and safety. As artificial intelligence (AI) becomes a more prominent tool in healthcare – from automation of administrative processes to disease prediction and medical imaging analysis – NHS England’s data science team is working to ensure these values remain central to technological advancement.

Data Science Marketing Spotlight: Confident Presentation Secrets

📢 Our spotlight today will be on Confident Presenting!

Do you want to present as speakers like Steve Jobs, Ken Robinson, or Simon Sinek, who are known for their exceptional ability to captivate and engage their audience? Keep reading to discover the techniques they use to deliver impactful and memorable presentations, building on the techniques from our away day workshop. Also make sure to check out some of our other resources for presenting!

The RISE Tool – An Easy Way for Testers and Assurers to Evaluate AI Classifiers

We have built a proof-of-concept tool which will help assurers, data scientists and clinicians to evaluate AI classifiers. We call this the RISE tool, it utilises LLM's, AI Image Generators and an interactive plot to allow users to easily evaluate image classifiers. We carried out careful experimentation to ensure its effectiveness, and plan to continue this research in the future.

NHS x Microsoft Hack for Health

The NHS England Data Science team, as well as a range of other analysts from across the organisation, attended an AI Hackathon at Microsoft, organised by the Data Science Team together with Microsoft and Kainos, with the key stakeholders being the NHS Websites Services Team. In this article, the author shares her experiences at the event.

Investigating Annotation Tools for Named Entity Recognition

We have been building a proof-of-concept tool that scores the privacy risk of free text healthcare data. To use our tool effectivly, users need a basic understanding of the entities within their dataset which may contribute to privacy risk.

There are various tools for annotating and exploring free text data. The author explores some of these tools and discusses his experiences.

Investigating Privacy Concerns and Mitigations for Language Models in Healthcare

Over recent years, larger, more data-intensive Language Models (LMs) with greatly enhanced performance have been developed. The enhanced functionality has driven widespread interest in adoption of LMs in Healthcare, owing to the large amounts of unstructured text data generated within healthcare pathways.

However, with this heightened interest, it becomes critical to comprehend the inherent privacy risks associated with these LMs, given the sensitive nature of Healthcare data. This PhD Internship project sought to understand more about the Privacy-Risk Landscape for healthcare LMs through a literature review and exploration of some technical applications.