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.
Today we’re interviewing Konstantin Georgiev, a postdoctoral researcher at the University of Edinburgh’s Institute for Neuroscience and Cardiovascular Research and former NHS England Data Science Officer. Konstantin’s journey from software engineering in Bulgaria to using multimodal AI for cardiac diagnostics in NHS Scotland offers fascinating insights into the intersection of deep learning, fairness in AI, and real-world healthcare impact.
This week our interviewee is Mary Amanuel, a Data Scientist at NHS England who bypassed university to become the first-ever apprentice at NHSX, proving that a background in high-stakes digital advertising and a drive for social good can be just as powerful as a traditional degree.
This week our interviewee is Sam Hollings, who is departing NHS England after a seven-year career. In his most recent role as Head of Coding and Data Standards (and formerly as Principal Data Scientist), Sam was a driving force for improving data practices across the organisation. He is widely known for his passionate championing of Reproducible Analytical Pipelines (RAP). As he prepares for a new chapter in Italy with his family, he kindly agreed to share his reflections and the lessons learned from his work.
This interview orginally was published in the October edition of the Data Science Community for Health and Care Newsletter. You can subscribe and join the community here.
At NHS England, employees get a handful of days each year to volunteer - helping out with causes that align with key NHS goals like helping people live healthier lives, improving quality of life, supporting recovery, and promoting equality in health.
The Data Science and Applied AI team recently grabbed this opportunity to give back, with a day spent volunteering at Seacroft Forest Garden, organised by the Wellbeing and Inclusion Function Team.
Welcome to another insightful installment of our "Interview with a Data Scientist" series. Here, we delve into the diverse career paths and impactful work of the talented individuals who make up the NHS England Data Science team. Our goal is to shine a light on the fantastic people driving the NHS Data Science Profession forward and to offer valuable perspectives for anyone considering a career in healthcare data science.
This week our interviewee is Amaia Imaz Blanco, a Data Scientist in the Data Science Team whose love of making graphs led her to the NHS Digital Graduate Scheme and eventually into probabilistic data linkage!
Sean and Amaia have spent the last 15 months on the Health Service Modelling Associates (HSMA) Programme, which is soon coming to an end. This program consists of 6 months of weekly lectures on a range of data science, operational research, coding, and web development, followed by a 9 month project, run by the University of Exeter PenChord team and is available for free for anyone working in public healthcare or policing.
During the course, we opted for the project to be a set of proof of concepts using the Waiting List Minimum Data set (WLMDS) to identify data science techniques that may provide novel insights into this dataset. Read more about the project itself here. This blog post is a summary of our project, as well a reflection on the past 15 months of the course.
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.