Data and data privacy impact assessments in the context of AI research and practice in the UK

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 approval process which is often identified as the focal point for these challenges. This perspective reports insights from a multidisciplinary workshop aiming to characterise challenges and explore potential solutions collaboratively. Themes around the variation in AI technologies, governance processes and stakeholder perspectives arose, highlighting the need for training initiatives, communities of practice and the standardization of governance processes and structures across NHS Trusts.

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Publication Details

Journal
Frontiers in Health Services
Published
2025-04-16
DOI
https://doi.org/10.3389/frhs.2025.1525955
Citations
3
Primary Topic
Ethics in Clinical Research
Type
article
Field-Weighted Citation Impact
5.64

Funders

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article

Data and data privacy impact assessments in the context of AI research and practice in the UK

N. Woznitza, J Kevin Dunbar, Leandro Innocentini Lopes de Faria, Xiaoxuan Liu et al.
3 citations
Frontiers in Health Services
Ethics in Clinical Research
5.64
article

Data and data privacy impact assessments in the context of AI research and practice in the UK

N. Woznitza, J Kevin Dunbar, Leandro Innocentini Lopes de Faria, Xiaoxuan Liu, Henry David Jeffry Hogg, Joanne Palmer, Fiona J. Gilbert, Alastair Keith Denniston, Jonathan Nash, Carla Brackstone
article en
3 citations

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 approval process which is often identified as the focal point for these challenges. This perspective reports insights from a multidisciplinary workshop aiming to characterise challenges and explore potential solutions collaboratively. Themes around the variation in AI technologies, governance processes and stakeholder perspectives arose, highlighting the need for training initiatives, communities of practice and the standardization of governance processes and structures across NHS Trusts.

Frontiers in Health ServicesVol. 5
Canterbury Christ Church University (GB), Birmingham City University (GB), University Hospitals Birmingham NHS Foundation Trust (GB), University College London Hospitals NHS Foundation Trust (GB), National Committee for Quality Assurance (US), British Thoracic Society (GB), University College Birmingham (GB), Cambridge School (PT), Kheiron Medical Technologies (United Kingdom) (GB), University Hospitals Sussex NHS Foundation Trust (GB), University College London (GB), University of Birmingham (GB)
National Institute for Health and Care Research, Department of Health and Social Care, NIHR Cambridge Biomedical Research Centre
Industry, innovation and infrastructure
Openalex Percentile: Top 5%
Ethics in Clinical Research
5.64
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