Peer-Reviewed Publication
Front Health Serv2025;51525955.January 1, 2025Journal Article
Data and data privacy impact assessments in the context of AI research and practice in the UK.
Fiona J Gilbert1, Jo Palmer2, Nick Woznitza3,4, Jonathan Nash5,6,7, Carla Brackstone5, Lisa Faria2, J Kevin Dunbar8, Henry David Jeffry Hogg2,9, Xiaoxuan Liu2,9, Alastair K Denniston2,9
1Department of Radiology, Clinical School, University of Cambridge, Cambridge, United Kingdom.
2Department of Inflammation and Ageing AI, University Hospitals Birmingham NHS Foundation Trust, Birmingham, United Kingdom.
3School of Allied and Public Health, UCL, University College London Hospitals NHS Foundation Trust, London, United Kingdom.
4School of Allied and Public Health, Canterbury Christ Church University, Canterbury, United Kingdom.
5Kheiron Medical Technologies, London, United Kingdom.
6Radiology Department, University Hospitals Sussex NHS Foundation Trust, Brighton, United Kingdom.
7British Society of Breast Radiology, London, United Kingdom.
8Screening Quality Assurance Service (SQAS) - South, NHS England, England, United Kingdom.
9Department of Applied Health Research, School of Medical Sciences, College of Medicine and Health, University of Birmingham, Birmingham, United Kingdom.
Abstract
Artificial intelligence (AI) projects in healthcare research and practice require approval from information governance (IG) teams within relevant healthcare providers. Navigating this approval process has been highlighted as a key challenge for AI innovation in healthcare by many stakeholders focused on the development and adoption of AI. Data privacy and impact assessments are a part of the appro…
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