Predictive analytics in adult social care could be hugely beneficial. Snap Out conducted user research to find out public views on its use.
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. We 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.
Brief evidence review on data sharing and ethics
One focus group with ASC service users: older people with accessibility needs
Supported two workshops with social workers held by London School of Economics
Synthesis and reporting of the primary and secondary research
Public Health, Islington Council