Data, dialogue, and design: patient and public involvement and engagement for natural language processing with real-world cancer data
Some key findings included that two-thirds (6/9) of contributors preferred a national opt-out consent model for data use, while one-third (3/9) favored project-specific consent. They offered perspectives on data use, including how it is processed and stored. They also highlighted the importance of clear, accessible information about the research process to build trust and facilitate informed decision-making.
Authors
- Gareth J. Price (ORCID: https://orcid.org/0000-0003-4983-5722)
- Goran Nenadić (ORCID: https://orcid.org/0000-0003-0795-5363)
- Issy MacGregor
- Eliana Vásquez Osorio (ORCID: https://orcid.org/0000-0003-0741-994X)
- Wuraola Oyewusi
Institutions
- University of Manchester (GB)
- Manchester University NHS Foundation Trust (GB)
- The Christie NHS Foundation Trust (GB)
- NIHR Manchester Biomedical Research Centre (GB)
Publication Details
- Journal
- Frontiers in Digital Health
- Published
- 2025-05-15
- DOI
- https://doi.org/10.3389/fdgth.2025.1560757
- Primary Topic
- Biomedical Text Mining and Ontologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Institute for Health and Care Research
- Manchester Biomedical Research Centre
- Medical Research Council