Fiona J Gilbert, Jo Palmer, Nick Woznitza, Jonathan Nash, Carla Brackstone, Lisa Faria, J Kevin Dunbar, Henry David Jeffry Hogg, Xiaoxuan Liu, Alastair K Denniston
{"title":"英国人工智能研究和实践背景下的数据和数据隐私影响评估。","authors":"Fiona J Gilbert, Jo Palmer, Nick Woznitza, Jonathan Nash, Carla Brackstone, Lisa Faria, J Kevin Dunbar, Henry David Jeffry Hogg, Xiaoxuan Liu, Alastair K Denniston","doi":"10.3389/frhs.2025.1525955","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":73088,"journal":{"name":"Frontiers in health services","volume":"5 ","pages":"1525955"},"PeriodicalIF":1.6000,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12053471/pdf/","citationCount":"0","resultStr":"{\"title\":\"Data and data privacy impact assessments in the context of AI research and practice in the UK.\",\"authors\":\"Fiona J Gilbert, Jo Palmer, Nick Woznitza, Jonathan Nash, Carla Brackstone, Lisa Faria, J Kevin Dunbar, Henry David Jeffry Hogg, Xiaoxuan Liu, Alastair K Denniston\",\"doi\":\"10.3389/frhs.2025.1525955\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":73088,\"journal\":{\"name\":\"Frontiers in health services\",\"volume\":\"5 \",\"pages\":\"1525955\"},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2025-04-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12053471/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Frontiers in health services\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3389/frhs.2025.1525955\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q3\",\"JCRName\":\"HEALTH CARE SCIENCES & SERVICES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in health services","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3389/frhs.2025.1525955","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"HEALTH CARE SCIENCES & SERVICES","Score":null,"Total":0}
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.