What are the Ethical Concerns within Novel Datasets for Predictive Analytics in Adult Social Care?
The use of unstructured data, which could be anything from notes in Electronic Health Records to PDF scans, may be seen as more sensitive than structured data. Snap Out worked on a project which delved into the ethics behind data sharing, big data and linking datasets.

Snap Out were part of a project, led by Islington Council, on a programme of research sponsored by NHS Digital to explore the building of novel datasets using structured and unstructured data for Adult Social Care Services for predictive analytics. Snap Out engaged with Adult Social Care service users to explore their views toward unstructured data. Throughout the process we supported workshops and collated all the information in a final report.


Co-design session with the CLARHC group at the outset of the project

Designed and led innovative co-design card-sorting focus groups to discuss disadvantages and advantages of linking datasets

Mini focus groups and interviews with Islington residents: older people, young people and BAME community

This research project was innovative in that a small number of councils have sought to link data across NHS records and engage the public on this topic. We spoke to a wide range of people across Islington to explore linked datasets and the positive and negative aspects of this through a card-sorting activity.

“Snap Out conducted research with Islington residents for us to explore how linking datasets would be perceived. I was impressed with how they took a complex project and distilled it into an easy-to-use card-sorting activity that generated relevant and interesting insights. They were flexible and adaptable throughout the project and worked well as part of our team.”

Public Health, Islington Council