Quantum computing has the potential to dramatically change many aspects of healthcare analysis. For our interests this mostly features around increased efficiency in optimisation and hybrid ML-Quantum approaches. This article briefly describes our use-cases submissions to the annual NQCC Hackathon to showcase the emerging interests for healthcare using this technology.
Welcome to another 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 NHSE Data Science Profession and provide valuable insights for those considering a career in Data Science within the healthcare sector.
This week our interviewee is Adam Hollings a Principal Data Scientist in the Data Science Team who recently moved from the SDE Service Team to the Central Data Science Team.
This interview orginally was published in the May edition of the Data Science Community for Health and Care Newsletter. You can subscribe and join the community here.
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.
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.
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.
📢 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!
“There is no joy in possession without sharing.” — Erasmus
A spotlight on how the project 'Using LLM as a Judge to evaluate Gen AI Search' was marketed effectively by Will Poulett.
We have been exploring using an LLM to evaluate and assess LLM summaries. This utilises the speed and language understanding of LLMs to score summaries, but how much trust can we put into an 'LLM-as-a-Judge'?
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.
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.