UK focus groups find support for sharing health data for AI is conditional
Medical Xpress
February 14, 2026
AI-Generated Deep Dive Summary
Public support for sharing health data with artificial intelligence (AI) research is conditional on clear public benefit, robust safeguards, and informed consent, according to a new study conducted by NDORMS and published in BMJ Digital Health & AI. The research highlights that trust is a critical factor when individuals decide whether to share their health data. Participants in the focus groups emphasized the importance of understanding how their data would be used, who would have access to it, and what protections were in place to ensure confidentiality and security.
The study underscores the need for transparent communication about the benefits of AI research while addressing concerns about potential risks, such as data breaches or misuse. Focus group participants expressed willingness to share health data if they could see a direct public benefit, such as improving healthcare outcomes or advancing medical knowledge. However, they also stressed the importance of strong safeguards to protect their personal information and meaningful consent processes that allow them to fully understand how their data will be used.
This research is significant for policymakers and healthcare providers aiming to leverage AI in healthcare. It highlights the need to prioritize trust-building measures, such as clear communication and robust data protection frameworks, to ensure public cooperation in sharing health data. As AI becomes increasingly integrated into healthcare, understanding these conditions for data sharing can help shape policies that are both effective and ethically sound.
The findings also align with broader discussions about the ethical use of health data in the digital age. By placing public voices at the center of the analysis, the study provides valuable insights into how individuals weigh risks and benefits when making decisions about their health data. This perspective is crucial for developing AI-driven healthcare solutions that are not only technologically advanced but also socially acceptable and trusted by the public.
Overall, the study reinforces the importance of balancing innovation with ethical considerations in AI and health data sharing. As AI continues to transform healthcare, understanding these conditions will be essential for fostering trust and ensuring that the benefits of AI research are realized responsibly and equitably.
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Originally published on Medical Xpress on 2/14/2026