Health Data Science Insights – Cambridge
Health Data Science Insights - Cambridge
Podcast Description
Welcome!We are health data science researchers passionate about transforming health. Based in the Cardiovascular Epidemiology Unit at the University of Cambridge, we collaborate nationally and internationally.
This podcast is for health data science researchers and the public. We explore topics like Trusted Research Environments, ethical considerations, AI, and multiomics.
Thanks to the National Institute of Health and Care Research Cambridge Biomedical Research Centre (NIHR203312) for sponsoring this.
Join Dr Alexia Sampri, Dr Elena Raffetti, Dr Elias Allara as we engage with leading experts.
Podcast Insights
Content Themes
The podcast focuses on health data science, exploring themes such as Trusted Research Environments, ethical considerations in health data usage, advancements in AI, and the implications of multiomics. Episode examples include discussions on the challenges of managing health data at scale and insights on transformative research initiatives like the Sudlow Review.
Welcome!We are health data science researchers passionate about transforming health. Based in the Cardiovascular Epidemiology Unit at the University of Cambridge, we collaborate nationally and internationally.
This podcast is for health data science researchers and the public. We explore topics like Trusted Research Environments, ethical considerations, AI, and multiomics.
Thanks to the National Institute of Health and Care Research Cambridge Biomedical Research Centre (NIHR203312) for sponsoring this.
Join Dr Alexia Sampri, Dr Elena Raffetti, Dr Elias Allara as we engage with leading experts.
Episode title: Building Scotland’s Health Data Infrastructure: A Conversation with Carole Morris (https://www.hdruk.ac.uk/people/carole-morris/)
In this episode of Health Data Science Insights – Cambridge, Alexia Sampri and Elena Raffetti speak with Carole Morris, Head of Data and Modelling Services at Public Health Scotland.
Carole reflects on her 25-year journey, from her early days as an information analyst working with Excel, SAS, and SPSS in NHS Lothian, to leading national teams overseeing Scotland’s Trusted Research Environment (the National Safe Haven) and linked health datasets.
The conversation explores:
How Scotland’s Community Health Index (CHI) enables data linkage
The evolution from manual spreadsheets to R, Python, SQL, and modern data science tools
Challenges in handling missing data, infrastructure, and data governance
Critical skills for the next generation of health data scientists, from coding to ethics and communication
The role of AI and automation in data curation, cleaning, and future healthcare innovation
Balancing leadership, team wellbeing, and work–life with passions like playing hockey
A fascinating look into how Scotland built one of the world’s strongest health data infrastructures, and what’s next for the future of public health.
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